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Problem converting onnx model using inference engine #94

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erezposner opened this issue Feb 25, 2019 · 9 comments
Closed

Problem converting onnx model using inference engine #94

erezposner opened this issue Feb 25, 2019 · 9 comments
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bug Something isn't working category: MO Model Optimizer question Further information is requested

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@erezposner
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Hi,
I'm trying to optimize a custom network using the model optimizer using the following command
python mo_onnx.py --input_model "C:\Users\erez.posner\Desktop\FDFE.onnx"
and get the following error (below):

  • in the network i use reshape and transpose functions in order to increase batch size during a forward run. basically i get a [1,1,H,W] image and during forward change the dimensions of the tensor e.g.
    [4,1,H/2,H/2] .

i suspect an issue with batch dimension change during run. could this be the case? thank you

Common parameters:
        - Path to the Input Model:      C:\Users\erez.posner\Desktop\FDFE.onnx
        - Path for generated IR:        C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\.
        - IR output name:       FDFE
        - Log level:    ERROR
        - Batch:        Not specified, inherited from the model
        - Input layers:         Not specified, inherited from the model
        - Output layers:        Not specified, inherited from the model
        - Input shapes:         Not specified, inherited from the model
        - Mean values:  Not specified
        - Scale values:         Not specified
        - Scale factor:         Not specified
        - Precision of IR:      FP32
        - Enable fusing:        True
        - Enable grouped convolutions fusing:   True
        - Move mean values to preprocess section:       False
        - Reverse input channels:       False
ONNX specific parameters:
Model Optimizer version:        1.5.12.49d067a0
C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\ops\slice.py:111: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  value = value[slice_idx]
[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>)": 'shape'
[ ERROR ]  Traceback (most recent call last):
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 114, in apply_replacements
    replacer.find_and_replace_pattern(graph)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\utils\replacement_pattern.py", line 28, in find_and_replace_pattern
    apply_pattern(graph, **self.pattern(), action=self.replace_pattern)  # pylint: disable=no-member
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\middle\pattern_match.py", line 95, in apply_pattern
    action(graph, match)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\extensions\middle\ShufflenetReshape.py", line 93, in replace_pattern
    ''.format(reshape1.shape, reshape1_shape))
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\graph\graph.py", line 267, in __getattr__
    return self.graph.node[self.node][k]
KeyError: 'shape'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\main.py", line 325, in main
    return driver(argv)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\main.py", line 302, in driver
    mean_scale_values=mean_scale)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\pipeline\onnx.py", line 139, in driver
    class_registration.apply_replacements(graph, class_registration.ClassType.MIDDLE_REPLACER)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 127, in apply_replacements
    )) from err
Exception: Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>)": 'shape'

[ ERROR ]  ---------------- END OF BUG REPORT --------------
[ ERROR ]  -------------------------------------------------```
@shubha-ramani
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shubha-ramani commented Feb 25, 2019 •
edited
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erez can you kindly attach your model and also the exact MO command you used so that we may assist you ? Also which version of ONNX are you using ?

@erezposner
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Certainly, thank you the the prompt response.

The model class is attached below. In addition there are the custom functions i.e. multiPoolPrepare, multiMaxPooling, unwrapPrepare, unwrapPool attached as well.

i know it is a lot. basically this custom model is supposed to receive as an input a [1,1,960,1280] tensor and output [1,113,960,1280] tensor. It initially pads the input tensor and then follows the layers.

  • the exact MO command is : python mo_onnx.py --input_model C:\Users\erez.posner\Desktop\FDFE.onnx

  • ONNX versions is 1.4.1

  • model class
class CustomNet(nn.Module):
    def __init__(self, base_net, pH, pW, sL1, sL2, imH, imW):
        super(CustomNet, self).__init__()
        self.imH = imH
        self.imW = imW
        self.multiPoolPrepare = multiPoolPrepare(pH, pW)
        self.conv1 = nn.Conv2d(1, 8, kernel_size=3, stride=1)
        self.act1 = nn.ReLU()
        self.multiMaxPooling1 = multiMaxPooling(sL1, sL1, sL1, sL1)
        self.conv2 = nn.Conv2d(8, 16, kernel_size=3, stride=1)
        self.act2 = nn.ReLU()
        self.multiMaxPooling2 = multiMaxPooling(sL2, sL2, sL2, sL2)
        self.conv3 = nn.Conv2d(16, 128, kernel_size=2, stride=1)
        self.act3 = nn.ReLU()
        self.outChans=113
        self.conv4 = nn.Conv2d(128, self.outChans, kernel_size=1)
        self.unwrapPrepare = unwrapPrepare()
        self.unwrapPool2 = unwrapPool(self.outChans, imH / (sL1 * sL2), imW / (sL1 * sL2), sL2, sL2)
        self.unwrapPool3 = unwrapPool(self.outChans, imH / sL1, imW / sL1, sL1, sL1)

    def forward(self, x):
        x = self.multiPoolPrepare(x)
        x = self.conv1(x)
        x = self.act1(x)
        x = self.multiMaxPooling1(x)
        x = self.conv2(x)
        x = self.act2(x)
        x = self.multiMaxPooling2(x)
        x = self.conv3(x)
        x = self.act3(x)
        x = self.conv4(x)
        x = self.unwrapPrepare(x)
        x = self.unwrapPool2(x)
        x = self.unwrapPool3(x)
        y = x.view(-1, self.imH, self.imW)
        return y
  • additional functions:
from torch import nn
import torch
import numpy as np
import torch.nn.functional as F


# (N,C,H,W)


class multiPoolPrepare(nn.Module):
    def __init__(self, patchY, patchX):
        super(multiPoolPrepare, self).__init__()
        pady = patchY - 1
        padx = patchX - 1

        self.pad_top = np.ceil(pady / 2).astype(int)
        self.pad_bottom = np.floor(pady / 2).astype(int)
        self.pad_left = np.ceil(padx / 2).astype(int)
        self.pad_right = np.floor(padx / 2).astype(int)

    def forward(self, x):
        y = F.pad(x, [self.pad_left, self.pad_right, self.pad_top, self.pad_bottom], value=0)
        return y


class unwrapPrepare(nn.Module):
    def __init__(self):
        super(unwrapPrepare, self).__init__()

    def forward(self, x):
        x_ = F.pad(x, [0, -1, 0, -1], value=0)
        y = x_.contiguous().view(x_.shape[0], -1)
        y = y.transpose(0, 1)
        return y.contiguous()


class unwrapPool(nn.Module):
    def __init__(self, outChans, curImgW, curImgH, dW, dH):
        super(unwrapPool, self).__init__()
        self.outChans = int(outChans)
        self.curImgW = int(curImgW)
        self.curImgH = int(curImgH)
        self.dW = int(dW)
        self.dH = int(dH)

    def forward(self, x, ):

        y = x.view((self.outChans, self.curImgW, self.curImgH, self.dH, self.dW, -1))
        y = y.transpose(2, 3)

        return y.contiguous()


class multiMaxPooling(nn.Module):
    def __init__(self, kW, kH, dW, dH):
        super(multiMaxPooling, self).__init__()
        layers = []
        self.padd = []
        for i in range(0, dH):
            for j in range(0, dW):
                self.padd.append((-j, -i))
                layers.append(nn.MaxPool2d(kernel_size=(kW, kH), stride=(dW, dH)))
        self.max_layers = nn.ModuleList(layers)
        self.s = dH

    def forward(self, x):

        hh = []
        ww = []
        res = []

        for i in range(0, len(self.max_layers)):
            pad_left, pad_top = self.padd[i]
            pad_left, pad_top = abs(pad_left), abs(pad_top)
            h, w = x.size()[2], x.size()[3]
            _x = x[..., pad_top:h - pad_top, pad_left:w - pad_left]
            _x = self.max_layers[i](_x)
            h, w = _x.size()[2], _x.size()[3]
            hh.append(h)
            ww.append(w)
            res.append(_x)
        max_h, max_w = np.max(hh), np.max(ww)
        for i in range(0, len(self.max_layers)):
            _x = res[i]
            h, w = _x.size()[2], _x.size()[3]
            pad_top = np.floor((max_h - h.item()) / 2).astype(int)
            pad_bottom = np.ceil((max_h - h.item()) / 2).astype(int)
            pad_left = np.floor((max_w - w.item()) / 2).astype(int)
            pad_right = np.ceil((max_w - w.item()) / 2).astype(int)
            _x = F.pad(_x, [pad_left, pad_right, pad_top, pad_bottom], value=0)
            res[i] = _x
        return torch.cat(res, 0)

@shubha-ramani
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shubha-ramani commented Feb 27, 2019 •
edited
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Hi erez. I meant your ONNX model (not your Pytorch model). Can you kindly attach your exported onnx model ? Also add --log_level DEBUG to your MO command so that I can see the debug logs.

@erezposner
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exported model is:

graph(%x.1 : Half(1, 1, 960, 1280)
      %1 : Half(8, 1, 3, 3)
      %2 : Half(8)
      %3 : Half(32, 8, 3, 3)
      %4 : Half(32)
      %5 : Half(128, 32, 2, 2)
      %6 : Half(128)
      %7 : Half(113, 128, 1, 1)
      %8 : Half(113)) {
  %9 : Half(1, 1, 974, 1294) = onnx::Pad[mode="constant", pads=[0, 0, 7, 7, 0, 0, 7, 7], value=0](%x.1), scope: SlimNet/multiPoolPrepare[multiPoolPrepare]
  %10 : Half(1, 8, 972, 1292) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[3, 3], pads=[0, 0, 0, 0], strides=[1, 1]](%9, %1, %2), scope: SlimNet/Conv2d[conv1]
  %11 : Half(1, 8, 972, 1292) = onnx::Relu(%10), scope: SlimNet/ReLU[act1]
  %12 : Half(1, 8, 972, 1292) = onnx::Slice[axes=[2], ends=[972], starts=[0]](%11), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %13 : Half(1, 8, 972, 1292) = onnx::Slice[axes=[3], ends=[1292], starts=[0]](%12), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %14 : Half(1, 8, 486, 646) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%13), scope: SlimNet/multiMaxPooling[multiMaxPooling1]/MaxPool2d
  %15 : Half(1, 8, 972, 1292) = onnx::Slice[axes=[2], ends=[972], starts=[0]](%11), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %16 : Half(1, 8, 972!, 1290) = onnx::Slice[axes=[3], ends=[1291], starts=[1]](%15), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %17 : Half(1, 8, 486, 645) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%16), scope: SlimNet/multiMaxPooling[multiMaxPooling1]/MaxPool2d
  %18 : Half(1, 8!, 970, 1292) = onnx::Slice[axes=[2], ends=[971], starts=[1]](%11), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %19 : Half(1, 8!, 970, 1292) = onnx::Slice[axes=[3], ends=[1292], starts=[0]](%18), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %20 : Half(1, 8, 485, 646) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%19), scope: SlimNet/multiMaxPooling[multiMaxPooling1]/MaxPool2d
  %21 : Half(1, 8!, 970, 1292) = onnx::Slice[axes=[2], ends=[971], starts=[1]](%11), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %22 : Half(1, 8!, 970!, 1290) = onnx::Slice[axes=[3], ends=[1291], starts=[1]](%21), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %23 : Half(1, 8, 485, 645) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%22), scope: SlimNet/multiMaxPooling[multiMaxPooling1]/MaxPool2d
  %24 : Half(1, 8, 486, 646) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 0, 0], value=0](%14), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %25 : Half(1, 8, 486, 646) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 0, 1], value=0](%17), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %26 : Half(1, 8, 486, 646) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 1, 0], value=0](%20), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %27 : Half(1, 8, 486, 646) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 1, 1], value=0](%23), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %28 : Half(4, 8, 486, 646) = onnx::Concat[axis=0](%24, %25, %26, %27), scope: SlimNet/multiMaxPooling[multiMaxPooling1]
  %29 : Half(4, 32, 484, 644) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[3, 3], pads=[0, 0, 0, 0], strides=[1, 1]](%28, %3, %4), scope: SlimNet/Conv2d[conv2]
  %30 : Half(4, 32, 484, 644) = onnx::Relu(%29), scope: SlimNet/ReLU[act2]
  %31 : Half(4, 32, 484, 644) = onnx::Slice[axes=[2], ends=[484], starts=[0]](%30), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %32 : Half(4, 32, 484, 644) = onnx::Slice[axes=[3], ends=[644], starts=[0]](%31), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %33 : Half(4, 32, 242, 322) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%32), scope: SlimNet/multiMaxPooling[multiMaxPooling2]/MaxPool2d
  %34 : Half(4, 32, 484, 644) = onnx::Slice[axes=[2], ends=[484], starts=[0]](%30), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %35 : Half(4, 32, 484!, 642) = onnx::Slice[axes=[3], ends=[643], starts=[1]](%34), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %36 : Half(4, 32, 242, 321) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%35), scope: SlimNet/multiMaxPooling[multiMaxPooling2]/MaxPool2d
  %37 : Half(4, 32!, 482, 644) = onnx::Slice[axes=[2], ends=[483], starts=[1]](%30), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %38 : Half(4, 32!, 482, 644) = onnx::Slice[axes=[3], ends=[644], starts=[0]](%37), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %39 : Half(4, 32, 241, 322) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%38), scope: SlimNet/multiMaxPooling[multiMaxPooling2]/MaxPool2d
  %40 : Half(4, 32!, 482, 644) = onnx::Slice[axes=[2], ends=[483], starts=[1]](%30), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %41 : Half(4, 32!, 482!, 642) = onnx::Slice[axes=[3], ends=[643], starts=[1]](%40), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %42 : Half(4, 32, 241, 321) = onnx::MaxPool[kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[2, 2]](%41), scope: SlimNet/multiMaxPooling[multiMaxPooling2]/MaxPool2d
  %43 : Half(4, 32, 242, 322) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 0, 0], value=0](%33), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %44 : Half(4, 32, 242, 322) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 0, 1], value=0](%36), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %45 : Half(4, 32, 242, 322) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 1, 0], value=0](%39), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %46 : Half(4, 32, 242, 322) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, 1, 1], value=0](%42), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %47 : Half(16, 32, 242, 322) = onnx::Concat[axis=0](%43, %44, %45, %46), scope: SlimNet/multiMaxPooling[multiMaxPooling2]
  %48 : Half(16, 128, 241, 321) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[2, 2], pads=[0, 0, 0, 0], strides=[1, 1]](%47, %5, %6), scope: SlimNet/Conv2d[conv3]
  %49 : Half(16, 128, 241, 321) = onnx::Relu(%48), scope: SlimNet/ReLU[act3]
  %50 : Half(16, 113, 241, 321) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%49, %7, %8), scope: SlimNet/Conv2d[conv4]
  %51 : Half(16, 113, 240, 320) = onnx::Pad[mode="constant", pads=[0, 0, 0, 0, 0, 0, -1, -1], value=0](%50), scope: SlimNet/unwrapPrepare[unwrapPrepare]
  %52 : Long() = onnx::Constant[value={0}](), scope: SlimNet/unwrapPrepare[unwrapPrepare]
  %53 : Tensor = onnx::Shape(%51), scope: SlimNet/unwrapPrepare[unwrapPrepare]
  %54 : Long() = onnx::Gather[axis=0](%53, %52), scope: SlimNet/unwrapPrepare[unwrapPrepare]
  %55 : Long() = onnx::Constant[value={-1}](), scope: SlimNet/unwrapPrepare[unwrapPrepare]
  %56 : Tensor = onnx::Unsqueeze[axes=[0]](%54)
  %57 : Tensor = onnx::Unsqueeze[axes=[0]](%55)
  %58 : Tensor = onnx::Concat[axis=0](%56, %57)
  %59 : Half(16, 8678400) = onnx::Reshape(%51, %58), scope: SlimNet/unwrapPrepare[unwrapPrepare]
  %60 : Half(8678400, 16) = onnx::Transpose[perm=[1, 0]](%59), scope: SlimNet/unwrapPrepare[unwrapPrepare]
  %61 : Tensor = onnx::Constant[value= 113  240  320    2    2   -1 [ CPULongType{6} ]](), scope: SlimNet/unwrapPool[unwrapPool2]
  %62 : Half(113, 240, 320, 2, 2, 4) = onnx::Reshape(%60, %61), scope: SlimNet/unwrapPool[unwrapPool2]
  %63 : Half(113, 240, 2, 320, 2, 4) = onnx::Transpose[perm=[0, 1, 3, 2, 4, 5]](%62), scope: SlimNet/unwrapPool[unwrapPool2]
  %64 : Tensor = onnx::Constant[value= 113  480  640    2    2   -1 [ CPULongType{6} ]](), scope: SlimNet/unwrapPool[unwrapPool3]
  %65 : Half(113, 480, 640, 2, 2, 1) = onnx::Reshape(%63, %64), scope: SlimNet/unwrapPool[unwrapPool3]
  %66 : Half(113, 480, 2, 640, 2, 1) = onnx::Transpose[perm=[0, 1, 3, 2, 4, 5]](%65), scope: SlimNet/unwrapPool[unwrapPool3]
  %67 : Tensor = onnx::Constant[value=   -1   960  1280 [ CPULongType{3} ]](), scope: SlimNet
  %68 : Half(113, 960, 1280) = onnx::Reshape(%66, %67), scope: SlimNet
  return (%68);
}

and the mo output with debug


(pytorch) C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer>python mo.py --input_model  "C:\Users\erez.posner\Desktop\FDFE_2.onnx" --log_level DEBUG
[ 2019-02-28 10:15:32,817 ] [ DEBUG ] [ main:133 ]  Namespace(batch=None, counts=None, data_type='float', disable_fusing=False, disable_gfusing=False, disable_nhwc_to_nchw=False, disable_omitting_optional=False, disable_resnet_optimization=False, enable_flattening_nested_params=False, extensions='C:\\Intel\\computer_vision_sdk_2018.5.456\\deployment_tools\\model_optimizer\\extensions', finegrain_fusing=None, framework='onnx', freeze_placeholder_with_value=None, generate_deprecated_IR_V2=False, input=None, input_checkpoint=None, input_meta_graph=None, input_model='C:\\Users\\erez.posner\\Desktop\\FDFE_2.onnx', input_model_is_text=False, input_proto=None, input_shape=None, input_symbol=None, k='extensions\\front\\caffe\\CustomLayersMapping.xml', legacy_mxnet_model=False, log_level='DEBUG', mean_file=None, mean_file_offsets=None, mean_values=(), model_name=None, move_to_preprocess=False, nd_prefix_name=None, offload_unsupported_operations_to_tf=False, output=None, output_dir='C:\\Intel\\computer_vision_sdk_2018.5.456\\deployment_tools\\model_optimizer\\.', pretrained_model_name=None, remove_output_softmax=False, reverse_input_channels=False, save_params_from_nd=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, tensorboard_logdir=None, tensorflow_custom_layer_libraries=None, tensorflow_custom_operations_config_update=None, tensorflow_object_detection_api_pipeline_config=None, tensorflow_operation_patterns=None, tensorflow_subgraph_patterns=None, tensorflow_use_custom_operations_config=None, version=False)
[ 2019-02-28 10:15:32,817 ] [ DEBUG ] [ main:134 ]  Model Optimizer started
[ 2019-02-28 10:15:32,819 ] [ DEBUG ] [ main:148 ]  Output model name would be FDFE_2{.xml, .bin}
Model Optimizer arguments:
Common parameters:
        - Path to the Input Model:      C:\Users\erez.posner\Desktop\FDFE_2.onnx
        - Path for generated IR:        C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\.
        - IR output name:       FDFE_2
        - Log level:    DEBUG
        - Batch:        Not specified, inherited from the model
        - Input layers:         Not specified, inherited from the model
        - Output layers:        Not specified, inherited from the model
        - Input shapes:         Not specified, inherited from the model
        - Mean values:  Not specified
        - Scale values:         Not specified
        - Scale factor:         Not specified
        - Precision of IR:      FP32
        - Enable fusing:        True
        - Enable grouped convolutions fusing:   True
        - Move mean values to preprocess section:       False
        - Reverse input channels:       False
ONNX specific parameters:
Model Optimizer version:        1.5.12.49d067a0
[ 2019-02-28 10:15:33,022 ] [ DEBUG ] [ main:236 ]  Placeholder shapes : None
[ INFO ]  Importing extensions from: C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo
[ INFO ]  New subclass: <class 'mo.ops.reshape.Reshape'>
[ INFO ]  Registered a new subclass with key: Reshape
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.activation.Activation'>
[ INFO ]  Registered a new subclass with key: Activation
[ INFO ]  New subclass: <class 'mo.ops.clamp.Clamp'>
[ INFO ]  Registered a new subclass with key: Clamp
[ INFO ]  New subclass: <class 'mo.ops.concat.Concat'>
[ INFO ]  Registered a new subclass with key: Concat
[ INFO ]  New subclass: <class 'mo.ops.const.Const'>
[ INFO ]  Registered a new subclass with key: Const
[ INFO ]  New subclass: <class 'mo.ops.convolution.Convolution'>
[ INFO ]  Registered a new subclass with key: Convolution
[ INFO ]  New subclass: <class 'mo.ops.crop.Crop'>
[ INFO ]  Registered a new subclass with key: Crop
[ INFO ]  New subclass: <class 'mo.ops.deconvolution.Deconvolution'>
[ INFO ]  Registered a new subclass with key: Deconvolution
[ INFO ]  New subclass: <class 'mo.ops.eltwise.Eltwise'>
[ INFO ]  Registered a new subclass with key: Eltwise
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.eltwise_n.EltwiseN'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.flatten.Flatten'>
[ INFO ]  Registered a new subclass with key: Flatten
[ INFO ]  New subclass: <class 'mo.ops.flatten_onnx.FlattenONNX'>
[ INFO ]  Registered a new subclass with key: FlattenONNX
[ INFO ]  New subclass: <class 'mo.ops.inner_product.InnerProduct'>
[ INFO ]  Registered a new subclass with key: FullyConnected
[ INFO ]  New subclass: <class 'mo.ops.input.Input'>
[ INFO ]  Registered a new subclass with key: Input
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.memory.Memory'>
[ INFO ]  Registered a new subclass with key: Memory
[ INFO ]  New subclass: <class 'mo.ops.output.Output'>
[ INFO ]  Registered a new subclass with key: OpOutput
[ INFO ]  New subclass: <class 'mo.ops.pad.Pad'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'mo.ops.pooling.Pooling'>
[ INFO ]  Registered a new subclass with key: Pooling
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.relu.ReLU'>
[ INFO ]  Registered a new subclass with key: ReLU
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.scale_shift.ScaleShiftOp'>
[ INFO ]  Registered a new subclass with key: ScaleShift
[ INFO ]  New subclass: <class 'mo.ops.shape.Shape'>
[ INFO ]  Registered a new subclass with key: Shape
[ INFO ]  New subclass: <class 'mo.ops.slice.Slice'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'mo.ops.softmax.Softmax'>
[ INFO ]  Registered a new subclass with key: SoftMax
[ INFO ]  New subclass: <class 'mo.ops.split.Split'>
[ INFO ]  Registered a new subclass with key: Split
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.tile.Tile'>
[ INFO ]  Registered a new subclass with key: Tile
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'mo.ops.div.Div'>
[ INFO ]  Registered a new subclass with key: Div
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementSubgraph'>
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementOp'>
[ INFO ]  Registered a new subclass with key: UnknownOp
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ INFO ]  Importing extensions from: C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\extensions
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.ops.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.ops.DetectionOutput.DetectionOutput'>
[ INFO ]  Registered a new subclass with key: DetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.Enter.Enter'>
[ INFO ]  Registered a new subclass with key: Enter
[ INFO ]  New subclass: <class 'extensions.ops.Exit.Exit'>
[ INFO ]  Registered a new subclass with key: Exit
[ INFO ]  New subclass: <class 'extensions.ops.NextIteration.NextIteration'>
[ INFO ]  Registered a new subclass with key: NextIteration
[ INFO ]  New subclass: <class 'extensions.ops.SquaredDifference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.ops.TensorArray.TensorArray'>
[ INFO ]  Registered a new subclass with key: TensorArrayV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayGather.TensorArrayGather'>
[ INFO ]  Registered a new subclass with key: TensorArrayGatherV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>
[ INFO ]  Registered a new subclass with key: TensorArrayReadV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>
[ INFO ]  Registered a new subclass with key: TensorArrayScatterV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArraySize.TensorArraySize'>
[ INFO ]  Registered a new subclass with key: TensorArraySizeV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>
[ INFO ]  Registered a new subclass with key: TensorArrayWriteV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorInput
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorOutput
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>
[ INFO ]  Registered a new subclass with key: TensorIteratorCondition
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>
[ INFO ]  Registered a new subclass with key: TensorIteratorBackEdge
[ INFO ]  New subclass: <class 'extensions.ops.accum.AccumOp'>
[ INFO ]  Registered a new subclass with key: Accum
[ INFO ]  New subclass: <class 'extensions.ops.argmax.ArgMaxOp'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.ops.assert_op.Assert'>
[ INFO ]  Registered a new subclass with key: Assert
[ INFO ]  New subclass: <class 'extensions.ops.axpy.AxpyOp'>
[ INFO ]  Registered a new subclass with key: Axpy
[ INFO ]  New subclass: <class 'extensions.ops.bn.BNOp'>
[ INFO ]  Registered a new subclass with key: BN
[ INFO ]  New subclass: <class 'extensions.ops.constant_fill.ConstantFill'>
[ INFO ]  Registered a new subclass with key: ConstantFill
[ INFO ]  New subclass: <class 'extensions.ops.correlation.CorrelationOp'>
[ INFO ]  Registered a new subclass with key: Correlation
[ INFO ]  New subclass: <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'>
[ INFO ]  Registered a new subclass with key: CTCGreedyDecoder
[ INFO ]  New subclass: <class 'extensions.ops.data_augmentation.DataAugmentationOp'>
[ INFO ]  Registered a new subclass with key: DataAugmentation
[ INFO ]  New subclass: <class 'extensions.ops.depth_to_space.DepthToSpaceOp'>
[ INFO ]  Registered a new subclass with key: DepthToSpace
[ INFO ]  New subclass: <class 'extensions.ops.gather.Gather'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'extensions.ops.grn.GRNOp'>
[ INFO ]  Registered a new subclass with key: GRN
[ INFO ]  New subclass: <class 'extensions.ops.identity.IdentityOp'>
[ INFO ]  Registered a new subclass with key: Identity
[ INFO ]  New subclass: <class 'extensions.ops.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ INFO ]  New subclass: <class 'extensions.ops.interp.InterpOp'>
[ INFO ]  Registered a new subclass with key: Interp
[ INFO ]  New subclass: <class 'extensions.ops.lstm_cell.LSTMCell'>
[ INFO ]  Registered a new subclass with key: LSTMCell
[ INFO ]  New subclass: <class 'extensions.ops.lstm_sequence.LSTMSequence'>
[ INFO ]  Registered a new subclass with key: LSTMSequence
[ INFO ]  New subclass: <class 'extensions.ops.merge.Merge'>
[ INFO ]  Registered a new subclass with key: Merge
[ INFO ]  New subclass: <class 'extensions.ops.mvn.MVN'>
[ INFO ]  Registered a new subclass with key: MVN
[ INFO ]  New subclass: <class 'extensions.ops.normalize.NormalizeOp'>
[ INFO ]  Registered a new subclass with key: Normalize
[ INFO ]  New subclass: <class 'extensions.ops.pack.PackOp'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.ops.power_file.PowerFileOp'>
[ INFO ]  Registered a new subclass with key: PowerFile
[ INFO ]  New subclass: <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>
[ INFO ]  Registered a new subclass with key: PredictionHeatmap
[ INFO ]  New subclass: <class 'extensions.ops.prelu.PreluOp'>
[ INFO ]  Registered a new subclass with key: PReLU
[ INFO ]  New subclass: <class 'extensions.ops.priorbox.PriorBoxOp'>
[ INFO ]  Registered a new subclass with key: PriorBox
[ INFO ]  New subclass: <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>
[ INFO ]  Registered a new subclass with key: PriorBoxClustered
[ INFO ]  New subclass: <class 'extensions.ops.proposal.ProposalOp'>
[ INFO ]  Registered a new subclass with key: Proposal
[ INFO ]  New subclass: <class 'extensions.ops.psroipooling.PSROIPoolingOp'>
[ INFO ]  Registered a new subclass with key: PSROIPooling
[ INFO ]  New subclass: <class 'extensions.ops.rank.Rank'>
[ INFO ]  Registered a new subclass with key: Rank
[ INFO ]  New subclass: <class 'extensions.ops.regionyolo.RegionYoloOp'>
[ INFO ]  Registered a new subclass with key: RegionYolo
[ INFO ]  New subclass: <class 'extensions.ops.reorgyolo.ReorgYoloOp'>
[ INFO ]  Registered a new subclass with key: ReorgYolo
[ INFO ]  New subclass: <class 'extensions.ops.resample.ResampleOp'>
[ INFO ]  Registered a new subclass with key: Resample
[ INFO ]  New subclass: <class 'extensions.ops.reverse_sequence.ReverseSequence'>
[ INFO ]  Registered a new subclass with key: ReverseSequence
[ INFO ]  New subclass: <class 'extensions.ops.select.Select'>
[ INFO ]  Registered a new subclass with key: Select
[ INFO ]  New subclass: <class 'extensions.ops.shufflechannel.ShuffleChannelOp'>
[ INFO ]  Registered a new subclass with key: ShuffleChannel
[ INFO ]  New subclass: <class 'extensions.ops.simplernms.SimplerNMSOp'>
[ INFO ]  Registered a new subclass with key: SimplerNMS
[ INFO ]  New subclass: <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>
[ INFO ]  Registered a new subclass with key: SpatialTransformer
[ INFO ]  New subclass: <class 'extensions.ops.splice.Splice'>
[ INFO ]  Registered a new subclass with key: Splice
[ INFO ]  New subclass: <class 'extensions.ops.splitv.SplitV'>
[ INFO ]  Registered a new subclass with key: SplitV
[ INFO ]  New subclass: <class 'extensions.ops.stop_gradient.StopGradientOp'>
[ INFO ]  Registered a new subclass with key: StopGradient
[ INFO ]  New subclass: <class 'extensions.ops.switch.Switch'>
[ INFO ]  Registered a new subclass with key: Switch
[ INFO ]  New subclass: <class 'extensions.ops.tensor_iterator.TensorIterator'>
[ INFO ]  Registered a new subclass with key: TensorIterator
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.BlockLSTM.BlockLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Enter.Enter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Exit.Exit'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.NextIteration.NextIteration'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArray.TensorArray'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayGather.TensorArrayGather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayRead.TensorArrayReader'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArraySize.TensorArraySize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.axpy.AxpyOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.bn.BNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.constant_fill.ConstantFill'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.depth_to_space.DepthToSpaceOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.identity.IdentityOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_cell.LSTMCell'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_sequence.LSTMSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.pack.PackOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.rank.Rank'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reverse_sequence.ReverseSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.select.Select'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.shufflechannel.ShuffleChannelOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splice.Splice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splitv.SplitV'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.stop_gradient.StopGradientOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ INFO ]  Registered a new subclass with key: LRN
[ INFO ]  New subclass: <class 'extensions.front.Pack.Pack'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ INFO ]  New subclass: <class 'extensions.front.image_scaler.ImageScaler'>
[ INFO ]  Registered a new subclass with key: ImageScaler
[ INFO ]  New subclass: <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ INFO ]  New subclass: <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ INFO ]  Registered a new subclass with key: Reciprocal
[ INFO ]  New subclass: <class 'extensions.front.squared_difference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.front.sub.Sub'>
[ INFO ]  Registered a new subclass with key: Sub
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ INFO ]  New subclass: <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.BlockLSTM.BlockLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Enter.Enter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Exit.Exit'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.NextIteration.NextIteration'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArray.TensorArray'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayGather.TensorArrayGather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayRead.TensorArrayReader'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArraySize.TensorArraySize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.axpy.AxpyOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.bn.BNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.constant_fill.ConstantFill'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.depth_to_space.DepthToSpaceOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.identity.IdentityOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_cell.LSTMCell'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_sequence.LSTMSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.pack.PackOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.rank.Rank'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reverse_sequence.ReverseSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.select.Select'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.shufflechannel.ShuffleChannelOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splice.Splice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splitv.SplitV'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.stop_gradient.StopGradientOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.front.onnx.add_ext.AddFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Add
[ INFO ]  New subclass: <class 'extensions.front.onnx.affine_ext.AffineFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Affine
[ INFO ]  New subclass: <class 'extensions.front.onnx.constant_fill_ext.ConstantFillFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ConstantFill
[ INFO ]  New subclass: <class 'extensions.front.onnx.conv_ext.ConvFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv
[ INFO ]  New subclass: <class 'extensions.front.onnx.conv_ext.ConvTransposeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ConvTranspose
[ INFO ]  New subclass: <class 'extensions.front.onnx.crop_ext.CropFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Crop
[ INFO ]  New subclass: <class 'extensions.front.onnx.elu_ext.EluFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Elu
[ INFO ]  New subclass: <class 'extensions.front.onnx.flatten_ext.FlattenFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Flatten
[ INFO ]  New subclass: <class 'extensions.front.onnx.gather_ext.GatherFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'extensions.front.onnx.image_scaler_ext.ImageScalerFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ImageScaler
[ INFO ]  New subclass: <class 'extensions.front.onnx.instance_normalization_ext.InstanceNormalizationExtractor'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ INFO ]  New subclass: <class 'extensions.front.onnx.leaky_relu_ext.LeakyReLUFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LeakyRelu
[ INFO ]  New subclass: <class 'extensions.front.onnx.lrn_ext.LRNFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LRN
[ INFO ]  New subclass: <class 'extensions.front.onnx.lstm_ext.LSTMFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LSTM
[ INFO ]  New subclass: <class 'extensions.front.onnx.matmul_ext.MatMulFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MatMul
[ INFO ]  New subclass: <class 'extensions.front.onnx.mul_ext.MulFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Mul
[ INFO ]  New subclass: <class 'extensions.front.onnx.neg_ext.NegFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Neg
[ INFO ]  New subclass: <class 'extensions.front.onnx.pad_ext.PadFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'extensions.front.onnx.pooling_ext.AveragePoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: AveragePool
[ INFO ]  New subclass: <class 'extensions.front.onnx.pooling_ext.MaxPoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MaxPool
[ INFO ]  New subclass: <class 'extensions.front.onnx.pooling_ext.GlobalAveragePoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: GlobalAveragePool
[ INFO ]  New subclass: <class 'extensions.front.onnx.pooling_ext.GlobalMaxPoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: GlobalMaxPool
[ INFO ]  New subclass: <class 'extensions.front.onnx.pow_ext.PowFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Pow
[ INFO ]  New subclass: <class 'extensions.front.onnx.reduce_mean_ext.ReduceMeanFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReduceMean
[ INFO ]  New subclass: <class 'extensions.front.onnx.reduce_sum_ext.ReduceSumFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReduceSum
[ INFO ]  New subclass: <class 'extensions.front.onnx.sigmoid_ext.SigmoidFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sigmoid
[ INFO ]  New subclass: <class 'extensions.front.onnx.slice_ext.SliceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'extensions.front.onnx.softmax_ext.SoftmaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Softmax
[ INFO ]  New subclass: <class 'extensions.front.onnx.split_ext.SplitFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Split
[ INFO ]  New subclass: <class 'extensions.front.onnx.squeeze_ext.SqueezeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Squeeze
[ INFO ]  New subclass: <class 'extensions.front.onnx.tanh_ext.TanhFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Tanh
[ INFO ]  New subclass: <class 'extensions.front.onnx.transpose_ext.TransposeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Transpose
[ INFO ]  New subclass: <class 'extensions.front.onnx.unsqueeze_ext.UnsqueezeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Unsqueeze
[ INFO ]  New subclass: <class 'extensions.front.onnx.upsample_ext.UpsampleFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Upsample
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.LRNReplacer.LRNReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.Pack.Pack'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.eltwise_n.EltwiseNReplacement'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.image_scaler.ImageScaler'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reciprocal.ReciprocalReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.squared_difference.SquaredDifference'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.BlockLSTM.BlockLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Enter.Enter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Exit.Exit'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.NextIteration.NextIteration'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArray.TensorArray'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayGather.TensorArrayGather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayRead.TensorArrayReader'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArraySize.TensorArraySize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.axpy.AxpyOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.bn.BNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.constant_fill.ConstantFill'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.depth_to_space.DepthToSpaceOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.identity.IdentityOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_cell.LSTMCell'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_sequence.LSTMSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.pack.PackOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.rank.Rank'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reverse_sequence.ReverseSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.select.Select'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.shufflechannel.ShuffleChannelOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splice.Splice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splitv.SplitV'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.stop_gradient.StopGradientOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.add_ext.AddFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.affine_ext.AffineFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.constant_fill_ext.ConstantFillFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.conv_ext.ConvFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.conv_ext.ConvTransposeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.crop_ext.CropFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.elu_ext.EluFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.flatten_ext.FlattenFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.gather_ext.GatherFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.image_scaler_ext.ImageScalerFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.instance_normalization_ext.InstanceNormalizationExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.leaky_relu_ext.LeakyReLUFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.lrn_ext.LRNFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.lstm_ext.LSTMFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.matmul_ext.MatMulFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.mul_ext.MulFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.neg_ext.NegFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pad_ext.PadFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.AveragePoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.MaxPoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.GlobalAveragePoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.GlobalMaxPoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pow_ext.PowFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.reduce_mean_ext.ReduceMeanFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.reduce_sum_ext.ReduceSumFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.sigmoid_ext.SigmoidFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.slice_ext.SliceFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.softmax_ext.SoftmaxFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.split_ext.SplitFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.squeeze_ext.SqueezeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.tanh_ext.TanhFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.transpose_ext.TransposeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.unsqueeze_ext.UnsqueezeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.upsample_ext.UpsampleFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.LRNReplacer.LRNReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.Pack.Pack'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.eltwise_n.EltwiseNReplacement'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.image_scaler.ImageScaler'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reciprocal.ReciprocalReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.squared_difference.SquaredDifference'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ INFO ]  New subclass: <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ INFO ]  New subclass: <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.decompose_bi_lstm.DecomposeBiLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.mxnet_lstm_sequence_normalize.MXNetLSTMSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.DepthToSpace.DepthToSpace'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'>
[ INFO ]  New subclass: <class 'extensions.middle.GemmResolver.GemmResolver'>
[ INFO ]  New subclass: <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'>
[ INFO ]  Registered a new subclass with key: Minimum
[ INFO ]  New subclass: <class 'extensions.middle.NormalizePad.NormalizePad'>
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.Reduce.ReduceReplacer'>
[ INFO ]  Registered a new subclass with key: Reduce
[ INFO ]  New subclass: <class 'extensions.middle.ShuffleChannel.ShuffleChannel'>
[ WARNING ]  Skipped <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxesMiddleReplacer'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIterator_utils.DeleteSelect'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.TensorIteratorLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.CheckUnsupportedLSTMCell'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.BlockLSTM.BlockLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Enter.Enter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.Exit.Exit'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.NextIteration.NextIteration'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArray.TensorArray'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayGather.TensorArrayGather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayRead.TensorArrayReader'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArraySize.TensorArraySize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.axpy.AxpyOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.bn.BNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.constant_fill.ConstantFill'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.depth_to_space.DepthToSpaceOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.identity.IdentityOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_cell.LSTMCell'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.lstm_sequence.LSTMSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.pack.PackOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.rank.Rank'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.reverse_sequence.ReverseSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.select.Select'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.shufflechannel.ShuffleChannelOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splice.Splice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.splitv.SplitV'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.stop_gradient.StopGradientOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.add_ext.AddFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.affine_ext.AffineFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.constant_fill_ext.ConstantFillFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.conv_ext.ConvFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.conv_ext.ConvTransposeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.crop_ext.CropFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.elu_ext.EluFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.flatten_ext.FlattenFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.gather_ext.GatherFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.image_scaler_ext.ImageScalerFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.instance_normalization_ext.InstanceNormalizationExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.leaky_relu_ext.LeakyReLUFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.lrn_ext.LRNFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.lstm_ext.LSTMFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.matmul_ext.MatMulFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.mul_ext.MulFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.neg_ext.NegFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pad_ext.PadFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.AveragePoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.MaxPoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.GlobalAveragePoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pooling_ext.GlobalMaxPoolFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.pow_ext.PowFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.reduce_mean_ext.ReduceMeanFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.reduce_sum_ext.ReduceSumFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.sigmoid_ext.SigmoidFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.slice_ext.SliceFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.softmax_ext.SoftmaxFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.split_ext.SplitFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.squeeze_ext.SqueezeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.tanh_ext.TanhFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.transpose_ext.TransposeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.unsqueeze_ext.UnsqueezeFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.onnx.upsample_ext.UpsampleFrontExtractor'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.LRNReplacer.LRNReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.Pack.Pack'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.eltwise_n.EltwiseNReplacement'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.image_scaler.ImageScaler'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reciprocal.ReciprocalReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.squared_difference.SquaredDifference'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.SliceConverter.ConvertSlice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.decompose_bi_lstm.DecomposeBiLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.mxnet_lstm_sequence_normalize.MXNetLSTMSequenceNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.DepthToSpace.DepthToSpace'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.NormalizePad.NormalizePad'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.Reduce.ReduceReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxesMiddleReplacer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.UselessMerge.UselessMergeEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.TensorIteratorLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.CheckUnsupportedLSTMCell'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionReshaper.ConvolutionReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.EltwiseBroadcast.EltwiseBroadcast'>
[ INFO ]  New subclass: <class 'extensions.back.TileReshaper.TileReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.PermuteForReshape.PermuteForReshape'>
[ WARNING ]  Skipped <class 'extensions.back.ShufflenetReLUReorder.ShufflenetReLUReorder'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.back.disable_unsupported_ND_operations.DisableUnsupportedNDOperations'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.back.insert_compatibility_l2normalization.CompatibilityL2NormalizationPattern'>
[ WARNING ]  Skipped <class 'extensions.back.kaldi_remove_memory_output.KaldiRemoveMemoryOutputBackReplacementPattern'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.back.remove_last_softmax_pattern.RemoveLastSoftMaxPattern'> registration because it was already registered or it was disabled.
[ 2019-02-28 10:15:34,621 ] [ DEBUG ] [ onnx:67 ]  Number of nodes in graph_def: 60
[ 2019-02-28 10:15:34,621 ] [ DEBUG ] [ onnx:68 ]  Number of all input ports (not true inputs) in graph_def: 9
[ 2019-02-28 10:15:34,621 ] [ DEBUG ] [ onnx:69 ]  Number of initializers in graph_def: 8
[ 2019-02-28 10:15:34,622 ] [ DEBUG ] [ onnx:70 ]  Number of real inputs in graph_def: 1
[ 2019-02-28 10:15:34,622 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Add to extractors with custom extractor class <class 'extensions.front.onnx.add_ext.AddFrontExtractor'>.
[ 2019-02-28 10:15:34,623 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Affine to extractors with custom extractor class <class 'extensions.front.onnx.affine_ext.AffineFrontExtractor'>.
[ 2019-02-28 10:15:34,625 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ConstantFill to extractors with custom extractor class <class 'extensions.front.onnx.constant_fill_ext.ConstantFillFrontExtractor'>.
[ 2019-02-28 10:15:34,626 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv to extractors with custom extractor class <class 'extensions.front.onnx.conv_ext.ConvFrontExtractor'>.
[ 2019-02-28 10:15:34,626 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ConvTranspose to extractors with custom extractor class <class 'extensions.front.onnx.conv_ext.ConvTransposeFrontExtractor'>.
[ 2019-02-28 10:15:34,627 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Crop to extractors with custom extractor class <class 'extensions.front.onnx.crop_ext.CropFrontExtractor'>.
[ 2019-02-28 10:15:34,627 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Elu to extractors with custom extractor class <class 'extensions.front.onnx.elu_ext.EluFrontExtractor'>.
[ 2019-02-28 10:15:34,628 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Flatten to extractors with custom extractor class <class 'extensions.front.onnx.flatten_ext.FlattenFrontExtractor'>.
[ 2019-02-28 10:15:34,629 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Gather to extractors with custom extractor class <class 'extensions.front.onnx.gather_ext.GatherFrontExtractor'>.
[ 2019-02-28 10:15:34,629 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ImageScaler to extractors with custom extractor class <class 'extensions.front.onnx.image_scaler_ext.ImageScalerFrontExtractor'>.
[ 2019-02-28 10:15:34,630 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry InstanceNormalization to extractors with custom extractor class <class 'extensions.front.onnx.instance_normalization_ext.InstanceNormalizationExtractor'>.
[ 2019-02-28 10:15:34,631 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LeakyRelu to extractors with custom extractor class <class 'extensions.front.onnx.leaky_relu_ext.LeakyReLUFrontExtractor'>.
[ 2019-02-28 10:15:34,632 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LRN to extractors with custom extractor class <class 'extensions.front.onnx.lrn_ext.LRNFrontExtractor'>.
[ 2019-02-28 10:15:34,633 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LSTM to extractors with custom extractor class <class 'extensions.front.onnx.lstm_ext.LSTMFrontExtractor'>.
[ 2019-02-28 10:15:34,637 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MatMul to extractors with custom extractor class <class 'extensions.front.onnx.matmul_ext.MatMulFrontExtractor'>.
[ 2019-02-28 10:15:34,637 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Mul to extractors with custom extractor class <class 'extensions.front.onnx.mul_ext.MulFrontExtractor'>.
[ 2019-02-28 10:15:34,638 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Neg to extractors with custom extractor class <class 'extensions.front.onnx.neg_ext.NegFrontExtractor'>.
[ 2019-02-28 10:15:34,639 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pad to extractors with custom extractor class <class 'extensions.front.onnx.pad_ext.PadFrontExtractor'>.
[ 2019-02-28 10:15:34,639 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AveragePool to extractors with custom extractor class <class 'extensions.front.onnx.pooling_ext.AveragePoolFrontExtractor'>.
[ 2019-02-28 10:15:34,640 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool to extractors with custom extractor class <class 'extensions.front.onnx.pooling_ext.MaxPoolFrontExtractor'>.
[ 2019-02-28 10:15:34,640 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GlobalAveragePool to extractors with custom extractor class <class 'extensions.front.onnx.pooling_ext.GlobalAveragePoolFrontExtractor'>.
[ 2019-02-28 10:15:34,641 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GlobalMaxPool to extractors with custom extractor class <class 'extensions.front.onnx.pooling_ext.GlobalMaxPoolFrontExtractor'>.
[ 2019-02-28 10:15:34,642 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pow to extractors with custom extractor class <class 'extensions.front.onnx.pow_ext.PowFrontExtractor'>.
[ 2019-02-28 10:15:34,642 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReduceMean to extractors with custom extractor class <class 'extensions.front.onnx.reduce_mean_ext.ReduceMeanFrontExtractor'>.
[ 2019-02-28 10:15:34,642 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReduceSum to extractors with custom extractor class <class 'extensions.front.onnx.reduce_sum_ext.ReduceSumFrontExtractor'>.
[ 2019-02-28 10:15:34,643 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sigmoid to extractors with custom extractor class <class 'extensions.front.onnx.sigmoid_ext.SigmoidFrontExtractor'>.
[ 2019-02-28 10:15:34,643 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Slice to extractors with custom extractor class <class 'extensions.front.onnx.slice_ext.SliceFrontExtractor'>.
[ 2019-02-28 10:15:34,643 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Softmax to extractors with custom extractor class <class 'extensions.front.onnx.softmax_ext.SoftmaxFrontExtractor'>.
[ 2019-02-28 10:15:34,644 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Split to extractors with custom extractor class <class 'extensions.front.onnx.split_ext.SplitFrontExtractor'>.
[ 2019-02-28 10:15:34,644 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Squeeze to extractors with custom extractor class <class 'extensions.front.onnx.squeeze_ext.SqueezeFrontExtractor'>.
[ 2019-02-28 10:15:34,645 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tanh to extractors with custom extractor class <class 'extensions.front.onnx.tanh_ext.TanhFrontExtractor'>.
[ 2019-02-28 10:15:34,645 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Transpose to extractors with custom extractor class <class 'extensions.front.onnx.transpose_ext.TransposeFrontExtractor'>.
[ 2019-02-28 10:15:34,650 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Unsqueeze to extractors with custom extractor class <class 'extensions.front.onnx.unsqueeze_ext.UnsqueezeFrontExtractor'>.
[ 2019-02-28 10:15:34,651 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Upsample to extractors with custom extractor class <class 'extensions.front.onnx.upsample_ext.UpsampleFrontExtractor'>.
[ 2019-02-28 10:15:34,652 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Activation to extractors with custom op class <class 'mo.ops.activation.Activation'>.
[ 2019-02-28 10:15:34,652 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Clamp to extractors with custom op class <class 'mo.ops.clamp.Clamp'>.
[ 2019-02-28 10:15:34,652 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Convolution to extractors with custom op class <class 'mo.ops.convolution.Convolution'>.
[ 2019-02-28 10:15:34,653 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Deconvolution to extractors with custom op class <class 'mo.ops.deconvolution.Deconvolution'>.
[ 2019-02-28 10:15:34,653 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Eltwise to extractors with custom op class <class 'mo.ops.eltwise.Eltwise'>.
[ 2019-02-28 10:15:34,653 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry EltwiseN to extractors with custom op class <class 'mo.ops.eltwise_n.EltwiseN'>.
[ 2019-02-28 10:15:34,654 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FlattenONNX to extractors with custom op class <class 'mo.ops.flatten_onnx.FlattenONNX'>.
[ 2019-02-28 10:15:34,654 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FullyConnected to extractors with custom op class <class 'mo.ops.inner_product.InnerProduct'>.
[ 2019-02-28 10:15:34,654 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Input to extractors with custom op class <class 'mo.ops.input.Input'>.
[ 2019-02-28 10:15:34,655 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Memory to extractors with custom op class <class 'mo.ops.memory.Memory'>.
[ 2019-02-28 10:15:34,655 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry OpOutput to extractors with custom op class <class 'mo.ops.output.Output'>.
[ 2019-02-28 10:15:34,655 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Pooling to extractors with custom op class <class 'mo.ops.pooling.Pooling'>.
[ 2019-02-28 10:15:34,656 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ScaleShift to extractors with custom op class <class 'mo.ops.scale_shift.ScaleShiftOp'>.
[ 2019-02-28 10:15:34,656 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Shape to extractors with custom op class <class 'mo.ops.shape.Shape'>.
[ 2019-02-28 10:15:34,656 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Tile to extractors with custom op class <class 'mo.ops.tile.Tile'>.
[ 2019-02-28 10:15:34,657 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry BlockLSTM to extractors with custom op class <class 'extensions.ops.BlockLSTM.BlockLSTM'>.
[ 2019-02-28 10:15:34,657 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DetectionOutput to extractors with custom op class <class 'extensions.ops.DetectionOutput.DetectionOutput'>.
[ 2019-02-28 10:15:34,657 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Enter to extractors with custom op class <class 'extensions.ops.Enter.Enter'>.
[ 2019-02-28 10:15:34,658 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Exit to extractors with custom op class <class 'extensions.ops.Exit.Exit'>.
[ 2019-02-28 10:15:34,658 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry NextIteration to extractors with custom op class <class 'extensions.ops.NextIteration.NextIteration'>.
[ 2019-02-28 10:15:34,668 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SquaredDifference to extractors with custom op class <class 'extensions.ops.SquaredDifference.SquaredDifference'>.
[ 2019-02-28 10:15:34,668 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayV3 to extractors with custom op class <class 'extensions.ops.TensorArray.TensorArray'>.
[ 2019-02-28 10:15:34,668 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayGatherV3 to extractors with custom op class <class 'extensions.ops.TensorArrayGather.TensorArrayGather'>.
[ 2019-02-28 10:15:34,669 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayReadV3 to extractors with custom op class <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>.
[ 2019-02-28 10:15:34,669 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayScatterV3 to extractors with custom op class <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>.
[ 2019-02-28 10:15:34,670 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArraySizeV3 to extractors with custom op class <class 'extensions.ops.TensorArraySize.TensorArraySize'>.
[ 2019-02-28 10:15:34,670 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayWriteV3 to extractors with custom op class <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>.
[ 2019-02-28 10:15:34,671 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorInput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>.
[ 2019-02-28 10:15:34,671 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorOutput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>.
[ 2019-02-28 10:15:34,672 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorCondition to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>.
[ 2019-02-28 10:15:34,672 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorBackEdge to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>.
[ 2019-02-28 10:15:34,672 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Accum to extractors with custom op class <class 'extensions.ops.accum.AccumOp'>.
[ 2019-02-28 10:15:34,673 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ArgMax to extractors with custom op class <class 'extensions.ops.argmax.ArgMaxOp'>.
[ 2019-02-28 10:15:34,677 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Assert to extractors with custom op class <class 'extensions.ops.assert_op.Assert'>.
[ 2019-02-28 10:15:34,677 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Axpy to extractors with custom op class <class 'extensions.ops.axpy.AxpyOp'>.
[ 2019-02-28 10:15:34,678 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry BN to extractors with custom op class <class 'extensions.ops.bn.BNOp'>.
[ 2019-02-28 10:15:34,679 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Correlation to extractors with custom op class <class 'extensions.ops.correlation.CorrelationOp'>.
[ 2019-02-28 10:15:34,680 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry CTCGreedyDecoder to extractors with custom op class <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'>.
[ 2019-02-28 10:15:34,681 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DataAugmentation to extractors with custom op class <class 'extensions.ops.data_augmentation.DataAugmentationOp'>.
[ 2019-02-28 10:15:34,681 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DepthToSpace to extractors with custom op class <class 'extensions.ops.depth_to_space.DepthToSpaceOp'>.
[ 2019-02-28 10:15:34,682 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRN to extractors with custom op class <class 'extensions.ops.grn.GRNOp'>.
[ 2019-02-28 10:15:34,683 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Interp to extractors with custom op class <class 'extensions.ops.interp.InterpOp'>.
[ 2019-02-28 10:15:34,683 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMCell to extractors with custom op class <class 'extensions.ops.lstm_cell.LSTMCell'>.
[ 2019-02-28 10:15:34,683 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMSequence to extractors with custom op class <class 'extensions.ops.lstm_sequence.LSTMSequence'>.
[ 2019-02-28 10:15:34,684 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Merge to extractors with custom op class <class 'extensions.ops.merge.Merge'>.
[ 2019-02-28 10:15:34,684 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MVN to extractors with custom op class <class 'extensions.ops.mvn.MVN'>.
[ 2019-02-28 10:15:34,685 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Normalize to extractors with custom op class <class 'extensions.ops.normalize.NormalizeOp'>.
[ 2019-02-28 10:15:34,689 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Pack to extractors with custom op class <class 'extensions.ops.pack.PackOp'>.
[ 2019-02-28 10:15:34,689 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PowerFile to extractors with custom op class <class 'extensions.ops.power_file.PowerFileOp'>.
[ 2019-02-28 10:15:34,690 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PredictionHeatmap to extractors with custom op class <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>.
[ 2019-02-28 10:15:34,690 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PReLU to extractors with custom op class <class 'extensions.ops.prelu.PreluOp'>.
[ 2019-02-28 10:15:34,691 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBox to extractors with custom op class <class 'extensions.ops.priorbox.PriorBoxOp'>.
[ 2019-02-28 10:15:34,691 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBoxClustered to extractors with custom op class <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>.
[ 2019-02-28 10:15:34,693 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Proposal to extractors with custom op class <class 'extensions.ops.proposal.ProposalOp'>.
[ 2019-02-28 10:15:34,694 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PSROIPooling to extractors with custom op class <class 'extensions.ops.psroipooling.PSROIPoolingOp'>.
[ 2019-02-28 10:15:34,694 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Rank to extractors with custom op class <class 'extensions.ops.rank.Rank'>.
[ 2019-02-28 10:15:34,695 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RegionYolo to extractors with custom op class <class 'extensions.ops.regionyolo.RegionYoloOp'>.
[ 2019-02-28 10:15:34,696 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ReorgYolo to extractors with custom op class <class 'extensions.ops.reorgyolo.ReorgYoloOp'>.
[ 2019-02-28 10:15:34,696 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Resample to extractors with custom op class <class 'extensions.ops.resample.ResampleOp'>.
[ 2019-02-28 10:15:34,700 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ReverseSequence to extractors with custom op class <class 'extensions.ops.reverse_sequence.ReverseSequence'>.
[ 2019-02-28 10:15:34,700 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Select to extractors with custom op class <class 'extensions.ops.select.Select'>.
[ 2019-02-28 10:15:34,701 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ShuffleChannel to extractors with custom op class <class 'extensions.ops.shufflechannel.ShuffleChannelOp'>.
[ 2019-02-28 10:15:34,701 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SimplerNMS to extractors with custom op class <class 'extensions.ops.simplernms.SimplerNMSOp'>.
[ 2019-02-28 10:15:34,701 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SpatialTransformer to extractors with custom op class <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>.
[ 2019-02-28 10:15:34,702 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Splice to extractors with custom op class <class 'extensions.ops.splice.Splice'>.
[ 2019-02-28 10:15:34,702 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SplitV to extractors with custom op class <class 'extensions.ops.splitv.SplitV'>.
[ 2019-02-28 10:15:34,702 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry StopGradient to extractors with custom op class <class 'extensions.ops.stop_gradient.StopGradientOp'>.
[ 2019-02-28 10:15:34,703 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Switch to extractors with custom op class <class 'extensions.ops.switch.Switch'>.
[ 2019-02-28 10:15:34,703 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIterator to extractors with custom op class <class 'extensions.ops.tensor_iterator.TensorIterator'>.
[ 2019-02-28 10:15:34,704 ] [ DEBUG ] [ onnx:75 ]  Number of nodes in NX graph: 69
[ 2019-02-28 10:15:34,710 ] [ DEBUG ] [ extractor:830 ]  Sink: 68/sink_port_0 for node 68
[ 2019-02-28 10:15:34,713 ] [ DEBUG ] [ extractor:831 ]  {'precision': 'FP32', 'kind': 'op', 'type': 'OpOutput', 'op': 'OpOutput', 'is_output': True, 'infer': None, 'value': None, 'data_type': None, 'name': '68/sink_port_0', 'dim_attrs': ['channel_dims', 'batch_dims', 'axis', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'shape', 'pad', 'output_shape'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x0000027029B95A60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2019-02-28 10:15:34,718 ] [ DEBUG ] [ extractor:832 ]  Add edge from 68 to 68/sink_port_0
[ 2019-02-28 10:15:34,719 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/sink_port_0
[ 2019-02-28 10:15:34,725 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes:
[ 2019-02-28 10:15:34,740 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.sub.Sub'>
[ 2019-02-28 10:15:34,743 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2019-02-28 10:15:34,746 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ 2019-02-28 10:15:34,756 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ 2019-02-28 10:15:34,759 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.image_scaler.ImageScaler'>
[ 2019-02-28 10:15:34,762 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ 2019-02-28 10:15:34,766 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.Pack.Pack'>
[ 2019-02-28 10:15:34,770 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ 2019-02-28 10:15:34,773 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'mo.ops.div.Div'>
[ 2019-02-28 10:15:34,777 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-02-28 10:15:34,782 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2019-02-28 10:15:34,791 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/sink_port_0
[ 2019-02-28 10:15:34,802 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes:
[ 2019-02-28 10:15:34,803 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/sink_port_0
[ 2019-02-28 10:15:34,821 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes:
[ 2019-02-28 10:15:34,831 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/sink_port_0
[ 2019-02-28 10:15:34,841 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes:
[ 2019-02-28 10:15:34,844 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,845 ] [ DEBUG ] [ infer:151 ]  Partial infer for 67
[ 2019-02-28 10:15:34,846 ] [ DEBUG ] [ infer:152 ]  Op: Constant
[ 2019-02-28 10:15:34,847 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,847 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,850 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [3], value = [  -1  960 1280]
[ 2019-02-28 10:15:34,853 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,853 ] [ DEBUG ] [ infer:151 ]  Partial infer for 64
[ 2019-02-28 10:15:34,854 ] [ DEBUG ] [ infer:152 ]  Op: Constant
[ 2019-02-28 10:15:34,855 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,855 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,857 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [6], value = [113 480 640   2   2  -1]
[ 2019-02-28 10:15:34,858 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,859 ] [ DEBUG ] [ infer:151 ]  Partial infer for 61
[ 2019-02-28 10:15:34,859 ] [ DEBUG ] [ infer:152 ]  Op: Constant
[ 2019-02-28 10:15:34,860 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,860 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,861 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [6], value = [113 240 320   2   2  -1]
[ 2019-02-28 10:15:34,861 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,866 ] [ DEBUG ] [ infer:151 ]  Partial infer for 55
[ 2019-02-28 10:15:34,866 ] [ DEBUG ] [ infer:152 ]  Op: Constant
[ 2019-02-28 10:15:34,867 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,867 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,868 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = -1
[ 2019-02-28 10:15:34,868 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,869 ] [ DEBUG ] [ infer:151 ]  Partial infer for 57
[ 2019-02-28 10:15:34,869 ] [ DEBUG ] [ infer:152 ]  Op: Unsqueeze
[ 2019-02-28 10:15:34,870 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,870 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = -1
[ 2019-02-28 10:15:34,871 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,871 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [-1]
[ 2019-02-28 10:15:34,871 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,872 ] [ DEBUG ] [ infer:151 ]  Partial infer for 52
[ 2019-02-28 10:15:34,872 ] [ DEBUG ] [ infer:152 ]  Op: Constant
[ 2019-02-28 10:15:34,873 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,873 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,874 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-02-28 10:15:34,880 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,885 ] [ DEBUG ] [ infer:151 ]  Partial infer for 8
[ 2019-02-28 10:15:34,885 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,886 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,886 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,888 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [113], value = [ 0.0362   -0.04654  -0.02884  -0.05957   0.06793  -0.05865   0.02339
  0.06714   0.08496  -0.012...
[ 2019-02-28 10:15:34,888 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,889 ] [ DEBUG ] [ infer:151 ]  Partial infer for 7
[ 2019-02-28 10:15:34,892 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,892 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,892 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,894 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [113 128   1   1], value = [[[[-0.00501  ]]

  [[ 0.03488  ]]

  [[-0.03098  ]]

  ...

  [[ 0.0368   ]]

  [[-0.0339   ]]

...
[ 2019-02-28 10:15:34,896 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,896 ] [ DEBUG ] [ infer:151 ]  Partial infer for 6
[ 2019-02-28 10:15:34,897 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,898 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,899 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,901 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [-0.0471   -0.02866   0.06384  -0.0762    0.02663  -0.05215   0.006054
  0.073     0.0828    0.06...
[ 2019-02-28 10:15:34,905 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,906 ] [ DEBUG ] [ infer:151 ]  Partial infer for 5
[ 2019-02-28 10:15:34,906 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,907 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,908 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,913 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128  32   2   2], value = [[[[ 0.05234   -0.02452  ]
   [ 0.0727    -0.014885 ]]

  [[-0.03088    0.0443   ]
   [ 0.0362   ...
[ 2019-02-28 10:15:34,916 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,916 ] [ DEBUG ] [ infer:151 ]  Partial infer for 4
[ 2019-02-28 10:15:34,917 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,917 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,918 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,919 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [32], value = [-0.09955   0.05707  -0.02289   0.03452   0.0415    0.04276   0.01651
 -0.05698  -0.04114  -0.080...
[ 2019-02-28 10:15:34,920 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,920 ] [ DEBUG ] [ infer:151 ]  Partial infer for 3
[ 2019-02-28 10:15:34,920 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,921 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,921 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,928 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [32  8  3  3], value = [[[[-0.07495   -0.04147    0.05597  ]
   [ 0.00667    0.1015    -0.0421   ]
   [-0.0345     0.115...
[ 2019-02-28 10:15:34,930 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,936 ] [ DEBUG ] [ infer:151 ]  Partial infer for 2
[ 2019-02-28 10:15:34,936 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,936 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,937 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,937 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [8], value = [-0.2134   0.1167  -0.2384  -0.0807  -0.3296   0.0912  -0.11365 -0.1865 ]
[ 2019-02-28 10:15:34,940 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,940 ] [ DEBUG ] [ infer:151 ]  Partial infer for 1
[ 2019-02-28 10:15:34,941 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-02-28 10:15:34,941 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,941 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,943 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [8 1 3 3], value = [[[[-0.02794  -0.01143  -0.125   ]
   [ 0.07666  -0.1907   -0.05878 ]
   [ 0.1292    0.313     0....
[ 2019-02-28 10:15:34,944 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,944 ] [ DEBUG ] [ infer:151 ]  Partial infer for x.1
[ 2019-02-28 10:15:34,945 ] [ DEBUG ] [ infer:152 ]  Op: Placeholder
[ 2019-02-28 10:15:34,946 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,947 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,948 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    1  960 1280], value = <UNKNOWN>
[ 2019-02-28 10:15:34,952 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,953 ] [ DEBUG ] [ infer:151 ]  Partial infer for 9
[ 2019-02-28 10:15:34,953 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:34,956 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,957 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    1  960 1280], value = <UNKNOWN>
[ 2019-02-28 10:15:34,957 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,958 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    1  974 1294], value = <UNKNOWN>
[ 2019-02-28 10:15:34,958 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,959 ] [ DEBUG ] [ infer:151 ]  Partial infer for 10
[ 2019-02-28 10:15:34,959 ] [ DEBUG ] [ infer:152 ]  Op: Conv
[ 2019-02-28 10:15:34,961 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,966 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [8 1 3 3], value = [[[[-0.02794  -0.01143  -0.125   ]
   [ 0.07666  -0.1907   -0.05878 ]
   [ 0.1292    0.313     0....
[ 2019-02-28 10:15:34,966 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [8], value = [-0.2134   0.1167  -0.2384  -0.0807  -0.3296   0.0912  -0.11365 -0.1865 ]
[ 2019-02-28 10:15:34,967 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    1  974 1294], value = <UNKNOWN>
[ 2019-02-28 10:15:34,967 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,968 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:34,968 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,968 ] [ DEBUG ] [ infer:151 ]  Partial infer for 11
[ 2019-02-28 10:15:34,969 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-02-28 10:15:34,969 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,970 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:34,970 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,970 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:34,971 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,971 ] [ DEBUG ] [ infer:151 ]  Partial infer for 21
[ 2019-02-28 10:15:34,971 ] [ DEBUG ] [ infer:152 ]  Op: Slice
C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\ops\slice.py:111: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  value = value[slice_idx]
[ 2019-02-28 10:15:34,978 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,985 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:34,985 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,986 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  970 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:34,989 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,989 ] [ DEBUG ] [ infer:151 ]  Partial infer for 22
[ 2019-02-28 10:15:34,989 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:34,992 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:34,993 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  970 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:34,993 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:34,994 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  970 1290], value = <UNKNOWN>
[ 2019-02-28 10:15:34,995 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:34,995 ] [ DEBUG ] [ infer:151 ]  Partial infer for 23
[ 2019-02-28 10:15:34,996 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:34,997 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,002 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  970 1290], value = <UNKNOWN>
[ 2019-02-28 10:15:35,002 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,003 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 485 645], value = <UNKNOWN>
[ 2019-02-28 10:15:35,004 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,004 ] [ DEBUG ] [ infer:151 ]  Partial infer for 27
[ 2019-02-28 10:15:35,005 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,006 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,006 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   8 485 645], value = <UNKNOWN>
[ 2019-02-28 10:15:35,007 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,008 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,008 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,009 ] [ DEBUG ] [ infer:151 ]  Partial infer for 18
[ 2019-02-28 10:15:35,009 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,010 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,010 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,015 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,016 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  970 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,016 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,016 ] [ DEBUG ] [ infer:151 ]  Partial infer for 19
[ 2019-02-28 10:15:35,017 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,018 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,018 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  970 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,019 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,019 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  970 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,019 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,020 ] [ DEBUG ] [ infer:151 ]  Partial infer for 20
[ 2019-02-28 10:15:35,020 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:35,021 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,021 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  970 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,021 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,022 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 485 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,022 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,022 ] [ DEBUG ] [ infer:151 ]  Partial infer for 26
[ 2019-02-28 10:15:35,023 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,023 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,029 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   8 485 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,035 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,035 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,036 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,036 ] [ DEBUG ] [ infer:151 ]  Partial infer for 15
[ 2019-02-28 10:15:35,036 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,038 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,040 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,040 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,041 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,042 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,042 ] [ DEBUG ] [ infer:151 ]  Partial infer for 16
[ 2019-02-28 10:15:35,042 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,043 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,044 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,044 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,045 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  972 1290], value = <UNKNOWN>
[ 2019-02-28 10:15:35,046 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,046 ] [ DEBUG ] [ infer:151 ]  Partial infer for 17
[ 2019-02-28 10:15:35,047 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:35,048 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,052 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1290], value = <UNKNOWN>
[ 2019-02-28 10:15:35,053 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,054 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 486 645], value = <UNKNOWN>
[ 2019-02-28 10:15:35,055 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,055 ] [ DEBUG ] [ infer:151 ]  Partial infer for 25
[ 2019-02-28 10:15:35,056 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,057 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,058 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   8 486 645], value = <UNKNOWN>
[ 2019-02-28 10:15:35,058 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,058 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,059 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,059 ] [ DEBUG ] [ infer:151 ]  Partial infer for 12
[ 2019-02-28 10:15:35,060 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,061 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,066 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,066 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,066 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,067 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,067 ] [ DEBUG ] [ infer:151 ]  Partial infer for 13
[ 2019-02-28 10:15:35,068 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,070 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,070 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,070 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,071 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,071 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,072 ] [ DEBUG ] [ infer:151 ]  Partial infer for 14
[ 2019-02-28 10:15:35,072 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:35,073 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,078 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [   1    8  972 1292], value = <UNKNOWN>
[ 2019-02-28 10:15:35,084 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,085 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,086 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,088 ] [ DEBUG ] [ infer:151 ]  Partial infer for 24
[ 2019-02-28 10:15:35,088 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,088 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,089 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,090 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,090 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,091 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,091 ] [ DEBUG ] [ infer:151 ]  Partial infer for 28
[ 2019-02-28 10:15:35,091 ] [ DEBUG ] [ infer:152 ]  Op: Concat
[ 2019-02-28 10:15:35,092 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,093 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,093 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,093 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,094 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [  1   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,095 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,096 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,096 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,102 ] [ DEBUG ] [ infer:151 ]  Partial infer for 29
[ 2019-02-28 10:15:35,102 ] [ DEBUG ] [ infer:152 ]  Op: Conv
[ 2019-02-28 10:15:35,104 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,108 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [32  8  3  3], value = [[[[-0.07495   -0.04147    0.05597  ]
   [ 0.00667    0.1015    -0.0421   ]
   [-0.0345     0.115...
[ 2019-02-28 10:15:35,110 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [32], value = [-0.09955   0.05707  -0.02289   0.03452   0.0415    0.04276   0.01651
 -0.05698  -0.04114  -0.080...
[ 2019-02-28 10:15:35,111 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4   8 486 646], value = <UNKNOWN>
[ 2019-02-28 10:15:35,115 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,115 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,116 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,116 ] [ DEBUG ] [ infer:151 ]  Partial infer for 30
[ 2019-02-28 10:15:35,117 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-02-28 10:15:35,118 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,118 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,119 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,119 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,120 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,120 ] [ DEBUG ] [ infer:151 ]  Partial infer for 40
[ 2019-02-28 10:15:35,120 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,123 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,123 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,127 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,135 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 482 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,137 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,137 ] [ DEBUG ] [ infer:151 ]  Partial infer for 41
[ 2019-02-28 10:15:35,138 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,140 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,140 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 482 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,141 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,141 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 482 642], value = <UNKNOWN>
[ 2019-02-28 10:15:35,142 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,142 ] [ DEBUG ] [ infer:151 ]  Partial infer for 42
[ 2019-02-28 10:15:35,142 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:35,143 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,144 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 482 642], value = <UNKNOWN>
[ 2019-02-28 10:15:35,144 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,145 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,151 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,151 ] [ DEBUG ] [ infer:151 ]  Partial infer for 46
[ 2019-02-28 10:15:35,152 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,154 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,155 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,155 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,156 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,156 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,156 ] [ DEBUG ] [ infer:151 ]  Partial infer for 37
[ 2019-02-28 10:15:35,157 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,159 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,159 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,164 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,165 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 482 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,166 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,166 ] [ DEBUG ] [ infer:151 ]  Partial infer for 38
[ 2019-02-28 10:15:35,167 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,169 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,169 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 482 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,170 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,171 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 482 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,172 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,172 ] [ DEBUG ] [ infer:151 ]  Partial infer for 39
[ 2019-02-28 10:15:35,172 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:35,177 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,178 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 482 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,178 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,179 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 241 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,180 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,181 ] [ DEBUG ] [ infer:151 ]  Partial infer for 45
[ 2019-02-28 10:15:35,182 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,183 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,183 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 241 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,183 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,184 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,188 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,188 ] [ DEBUG ] [ infer:151 ]  Partial infer for 34
[ 2019-02-28 10:15:35,188 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,190 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,191 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,191 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,192 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,194 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,195 ] [ DEBUG ] [ infer:151 ]  Partial infer for 35
[ 2019-02-28 10:15:35,196 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,206 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,207 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,207 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,208 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 484 642], value = <UNKNOWN>
[ 2019-02-28 10:15:35,209 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,209 ] [ DEBUG ] [ infer:151 ]  Partial infer for 36
[ 2019-02-28 10:15:35,210 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:35,211 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,215 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 642], value = <UNKNOWN>
[ 2019-02-28 10:15:35,215 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,216 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 242 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,216 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,216 ] [ DEBUG ] [ infer:151 ]  Partial infer for 44
[ 2019-02-28 10:15:35,217 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,217 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,218 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 242 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,218 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,219 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,219 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,219 ] [ DEBUG ] [ infer:151 ]  Partial infer for 31
[ 2019-02-28 10:15:35,220 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,222 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,222 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,226 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,235 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,235 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,235 ] [ DEBUG ] [ infer:151 ]  Partial infer for 32
[ 2019-02-28 10:15:35,238 ] [ DEBUG ] [ infer:152 ]  Op: Slice
[ 2019-02-28 10:15:35,240 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,240 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,241 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,241 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,242 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,242 ] [ DEBUG ] [ infer:151 ]  Partial infer for 33
[ 2019-02-28 10:15:35,243 ] [ DEBUG ] [ infer:152 ]  Op: MaxPool
[ 2019-02-28 10:15:35,243 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,244 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 484 644], value = <UNKNOWN>
[ 2019-02-28 10:15:35,244 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,245 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,246 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,252 ] [ DEBUG ] [ infer:151 ]  Partial infer for 43
[ 2019-02-28 10:15:35,252 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,253 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,254 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,254 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,255 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,256 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,256 ] [ DEBUG ] [ infer:151 ]  Partial infer for 47
[ 2019-02-28 10:15:35,257 ] [ DEBUG ] [ infer:152 ]  Op: Concat
[ 2019-02-28 10:15:35,258 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,259 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,259 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,259 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,260 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [  4  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,260 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,266 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 16  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,266 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,266 ] [ DEBUG ] [ infer:151 ]  Partial infer for 48
[ 2019-02-28 10:15:35,267 ] [ DEBUG ] [ infer:152 ]  Op: Conv
[ 2019-02-28 10:15:35,268 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,270 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [128  32   2   2], value = [[[[ 0.05234   -0.02452  ]
   [ 0.0727    -0.014885 ]]

  [[-0.03088    0.0443   ]
   [ 0.0362   ...
[ 2019-02-28 10:15:35,272 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [128], value = [-0.0471   -0.02866   0.06384  -0.0762    0.02663  -0.05215   0.006054
  0.073     0.0828    0.06...
[ 2019-02-28 10:15:35,273 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 16  32 242 322], value = <UNKNOWN>
[ 2019-02-28 10:15:35,273 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,277 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 16 128 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,285 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,287 ] [ DEBUG ] [ infer:151 ]  Partial infer for 49
[ 2019-02-28 10:15:35,288 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-02-28 10:15:35,288 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,289 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 16 128 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,289 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,290 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 16 128 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,290 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,290 ] [ DEBUG ] [ infer:151 ]  Partial infer for 50
[ 2019-02-28 10:15:35,291 ] [ DEBUG ] [ infer:152 ]  Op: Conv
[ 2019-02-28 10:15:35,292 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,293 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [113 128   1   1], value = [[[[-0.00501  ]]

  [[ 0.03488  ]]

  [[-0.03098  ]]

  ...

  [[ 0.0368   ]]

  [[-0.0339   ]]

...
[ 2019-02-28 10:15:35,297 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [113], value = [ 0.0362   -0.04654  -0.02884  -0.05957   0.06793  -0.05865   0.02339
  0.06714   0.08496  -0.012...
[ 2019-02-28 10:15:35,304 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 16 128 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,304 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,306 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 16 113 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,307 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,307 ] [ DEBUG ] [ infer:151 ]  Partial infer for 51
[ 2019-02-28 10:15:35,308 ] [ DEBUG ] [ infer:152 ]  Op: Pad
[ 2019-02-28 10:15:35,308 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,309 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 16 113 241 321], value = <UNKNOWN>
[ 2019-02-28 10:15:35,309 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,310 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 16 113 240 320], value = <UNKNOWN>
[ 2019-02-28 10:15:35,310 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,310 ] [ DEBUG ] [ infer:151 ]  Partial infer for 53
[ 2019-02-28 10:15:35,311 ] [ DEBUG ] [ infer:152 ]  Op: Shape
[ 2019-02-28 10:15:35,317 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,317 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 16 113 240 320], value = <UNKNOWN>
[ 2019-02-28 10:15:35,317 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,319 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [4], value = [ 16 113 240 320]
[ 2019-02-28 10:15:35,319 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,320 ] [ DEBUG ] [ infer:151 ]  Partial infer for 54
[ 2019-02-28 10:15:35,320 ] [ DEBUG ] [ infer:152 ]  Op: Gather
[ 2019-02-28 10:15:35,322 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,323 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0
[ 2019-02-28 10:15:35,323 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [4], value = [ 16 113 240 320]
[ 2019-02-28 10:15:35,323 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,324 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 16
[ 2019-02-28 10:15:35,324 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,325 ] [ DEBUG ] [ infer:151 ]  Partial infer for 56
[ 2019-02-28 10:15:35,335 ] [ DEBUG ] [ infer:152 ]  Op: Unsqueeze
[ 2019-02-28 10:15:35,336 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,336 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 16
[ 2019-02-28 10:15:35,337 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,338 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [16]
[ 2019-02-28 10:15:35,340 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,340 ] [ DEBUG ] [ infer:151 ]  Partial infer for 58
[ 2019-02-28 10:15:35,341 ] [ DEBUG ] [ infer:152 ]  Op: Concat
[ 2019-02-28 10:15:35,342 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,342 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [16]
[ 2019-02-28 10:15:35,343 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [-1]
[ 2019-02-28 10:15:35,343 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,344 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [16 -1]
[ 2019-02-28 10:15:35,344 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,344 ] [ DEBUG ] [ infer:151 ]  Partial infer for 59
[ 2019-02-28 10:15:35,345 ] [ DEBUG ] [ infer:152 ]  Op: Reshape
[ 2019-02-28 10:15:35,347 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,348 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 16 113 240 320], value = <UNKNOWN>
[ 2019-02-28 10:15:35,354 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [2], value = [16 -1]
[ 2019-02-28 10:15:35,355 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,356 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [     16 8678400], value = <UNKNOWN>
[ 2019-02-28 10:15:35,356 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,357 ] [ DEBUG ] [ infer:151 ]  Partial infer for 60
[ 2019-02-28 10:15:35,357 ] [ DEBUG ] [ infer:152 ]  Op: Permute
[ 2019-02-28 10:15:35,358 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,359 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [     16 8678400], value = <UNKNOWN>
[ 2019-02-28 10:15:35,359 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,359 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [8678400      16], value = <UNKNOWN>
[ 2019-02-28 10:15:35,360 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,360 ] [ DEBUG ] [ infer:151 ]  Partial infer for 62
[ 2019-02-28 10:15:35,360 ] [ DEBUG ] [ infer:152 ]  Op: Reshape
[ 2019-02-28 10:15:35,361 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,361 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [8678400      16], value = <UNKNOWN>
[ 2019-02-28 10:15:35,362 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [6], value = [113 240 320   2   2  -1]
[ 2019-02-28 10:15:35,368 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,368 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [113 240 320   2   2   4], value = <UNKNOWN>
[ 2019-02-28 10:15:35,369 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,369 ] [ DEBUG ] [ infer:151 ]  Partial infer for 63
[ 2019-02-28 10:15:35,369 ] [ DEBUG ] [ infer:152 ]  Op: Permute
[ 2019-02-28 10:15:35,370 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,370 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [113 240 320   2   2   4], value = <UNKNOWN>
[ 2019-02-28 10:15:35,371 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,371 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [113 240   2 320   2   4], value = <UNKNOWN>
[ 2019-02-28 10:15:35,371 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,372 ] [ DEBUG ] [ infer:151 ]  Partial infer for 65
[ 2019-02-28 10:15:35,372 ] [ DEBUG ] [ infer:152 ]  Op: Reshape
[ 2019-02-28 10:15:35,373 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,373 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [113 240   2 320   2   4], value = <UNKNOWN>
[ 2019-02-28 10:15:35,374 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [6], value = [113 480 640   2   2  -1]
[ 2019-02-28 10:15:35,374 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,375 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [113 480 640   2   2   1], value = <UNKNOWN>
[ 2019-02-28 10:15:35,375 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,375 ] [ DEBUG ] [ infer:151 ]  Partial infer for 66
[ 2019-02-28 10:15:35,375 ] [ DEBUG ] [ infer:152 ]  Op: Permute
[ 2019-02-28 10:15:35,382 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,385 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [113 480 640   2   2   1], value = <UNKNOWN>
[ 2019-02-28 10:15:35,385 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,386 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [113 480   2 640   2   1], value = <UNKNOWN>
[ 2019-02-28 10:15:35,386 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-02-28 10:15:35,386 ] [ DEBUG ] [ infer:151 ]  Partial infer for 68
[ 2019-02-28 10:15:35,387 ] [ DEBUG ] [ infer:152 ]  Op: Reshape
[ 2019-02-28 10:15:35,387 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-02-28 10:15:35,388 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [113 480   2 640   2   1], value = <UNKNOWN>
[ 2019-02-28 10:15:35,388 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [3], value = [  -1  960 1280]
[ 2019-02-28 10:15:35,388 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-02-28 10:15:35,389 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 113  960 1280], value = <UNKNOWN>
[ 2019-02-28 10:15:35,390 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/Output_0/Data_
[ 2019-02-28 10:15:35,403 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 1
2
3
4
5
52
53
54
55
56
57
58
6
61
64
67
7
8
[ 2019-02-28 10:15:35,408 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/Output_0/Data_
[ 2019-02-28 10:15:35,419 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 52/Output_0/Data_
53/Output_0/Data_
54/Output_0/Data_
55/Output_0/Data_
56/Output_0/Data_
57/Output_0/Data_
[ 2019-02-28 10:15:35,437 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/Output_0/Data_
[ 2019-02-28 10:15:35,453 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes:
[ 2019-02-28 10:15:35,454 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
68/Output_0/Data_
[ 2019-02-28 10:15:35,462 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes:
[ 2019-02-28 10:15:35,474 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> will be run after <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ 2019-02-28 10:15:35,474 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2019-02-28 10:15:35,475 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run before <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ 2019-02-28 10:15:35,476 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2019-02-28 10:15:35,476 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'> will be run before <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'>
[ 2019-02-28 10:15:35,477 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'> will be run after <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ 2019-02-28 10:15:35,478 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'> will be run after <class 'extensions.middle.decompose_bi_lstm.DecomposeBiLSTM'>
[ 2019-02-28 10:15:35,478 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-02-28 10:15:35,479 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> will be run after <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ 2019-02-28 10:15:35,480 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> will be run after <class 'extensions.middle.mxnet_lstm_sequence_normalize.MXNetLSTMSequenceNormalize'>
[ 2019-02-28 10:15:35,485 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-02-28 10:15:35,485 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run before <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ 2019-02-28 10:15:35,486 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> will be run after <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ 2019-02-28 10:15:35,486 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.GemmResolver.GemmResolver'> will be run before <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'>
[ 2019-02-28 10:15:35,486 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-02-28 10:15:35,487 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ 2019-02-28 10:15:35,487 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'>
[ 2019-02-28 10:15:35,488 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> will be run after <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ 2019-02-28 10:15:35,488 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-02-28 10:15:35,488 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'> will be run after <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ 2019-02-28 10:15:35,489 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-02-28 10:15:35,489 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ 2019-02-28 10:15:35,490 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ 2019-02-28 10:15:35,490 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-02-28 10:15:35,491 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.decompose_bi_lstm.DecomposeBiLSTM'>
[ 2019-02-28 10:15:35,492 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-02-28 10:15:35,492 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ 2019-02-28 10:15:35,493 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ 2019-02-28 10:15:35,493 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-02-28 10:15:35,494 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'>
[ 2019-02-28 10:15:35,503 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.Reduce.ReduceReplacer'>
[ 2019-02-28 10:15:35,509 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'>
[ 2019-02-28 10:15:35,514 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TensorIterator_utils.DeleteSelect'>
[ 2019-02-28 10:15:35,518 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ 2019-02-28 10:15:35,523 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-02-28 10:15:35,528 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ 2019-02-28 10:15:35,529 ] [ DEBUG ] [ TensorIteratorConditionChecker:27 ]  +++++++++++++++ ConditionCheckerMatching ++++++++++++++++
[ 2019-02-28 10:15:35,541 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'>
[ 2019-02-28 10:15:35,542 ] [ DEBUG ] [ TensorIteratorCondition:217 ]  +++++++++++++++ SimpleConditionMatching ++++++++++++++++
[ 2019-02-28 10:15:35,547 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ 2019-02-28 10:15:35,551 ] [ DEBUG ] [ TensorIteratorCondition:52 ]  +++++++++++++++ ConditionMatching ++++++++++++++++
[ 2019-02-28 10:15:35,558 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ 2019-02-28 10:15:35,569 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ 2019-02-28 10:15:35,573 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'>
[ 2019-02-28 10:15:35,578 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'>
[ 2019-02-28 10:15:35,584 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ 2019-02-28 10:15:35,589 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ WARNING ]  Can't convert Reshape->Transpose(66)->Reshape sequence due to input shape should be 4D (instead of 6D)
[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>)": 'shape'
[ ERROR ]  Traceback (most recent call last):
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 114, in apply_replacements
    replacer.find_and_replace_pattern(graph)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\utils\replacement_pattern.py", line 28, in find_and_replace_pattern
    apply_pattern(graph, **self.pattern(), action=self.replace_pattern)  # pylint: disable=no-member
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\middle\pattern_match.py", line 95, in apply_pattern
    action(graph, match)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\extensions\middle\ShufflenetReshape.py", line 93, in replace_pattern
    ''.format(reshape1.shape, reshape1_shape))
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\graph\graph.py", line 267, in __getattr__
    return self.graph.node[self.node][k]
KeyError: 'shape'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\main.py", line 325, in main
    return driver(argv)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\main.py", line 302, in driver
    mean_scale_values=mean_scale)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\pipeline\onnx.py", line 139, in driver
    class_registration.apply_replacements(graph, class_registration.ClassType.MIDDLE_REPLACER)
  File "C:\Intel\computer_vision_sdk_2018.5.456\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 127, in apply_replacements
    )) from err
Exception: Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>)": 'shape'

[ ERROR ]  ---------------- END OF BUG REPORT --------------
[ ERROR ]  -------------------------------------------------

@shubha-ramani
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shubha-ramani commented Mar 1, 2019 •
edited
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erez what you attached is not an ONNX model, rather it seems to be a print of an ONNX model. I want to try mo_onnx.py myself - which is why I'm requesting a genuine onnx model. Anyway, let's try and debug just based on the print alone.

The error seems to be directly related to the warning prior to the exception

[ WARNING ] Can't convert Reshape->Transpose(66)->Reshape sequence due to input shape should be 4D (instead of 6D)

Looking at the ONNX printout I see several examples of -1 in Tensor values. -1 is not an acceptable dimension value to Model Optimizer if it refers to incoming shape. Could this be the issue ? Numpy can infer dimensions based on -1 but Model Optimizer cannot. The builder of the model must be very specific about shape dimensions, starting with batch size. Additionally Line 67 is a 1x3 tensor while 61 and 64 are 1x6 tensors. The WARNING says the shape should be 4D. I would start though by getting rid of the -1 and see what happens next.

%67 : Tensor = onnx::Constantvalue= -1 960 1280 [ CPULongType{3} ], scope: SlimNet
%61 : Tensor = onnx::Constantvalue= 113 240 320 2 2 -1 [ CPULongType{6} ], scope: SlimNet/unwrapPool[unwrapPool2]
%64 : Tensor = onnx::Constantvalue= 113 480 640 2 2 -1 [ CPULongType{6} ], scope: SlimNet/unwrapPool[unwrapPool3]

@erezposner
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sorry about that, my model is attached within the zip file here:
model.zip

i'll try getting rid of any -1 and update.
thank you

@lazarevevgeny
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@erezposner is this issue still actual? I can convert the model now with the following command line ./mo.py --input_model model.onnx --data_type FP16

@lazarevevgeny lazarevevgeny added bug Something isn't working category: MO Model Optimizer question Further information is requested labels May 25, 2020
@erezposner
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erezposner commented May 27, 2020 •
edited
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Yes it is still relevant. Thanks for taking the time to address this issue.
I'll try

@AnastasiaKazantaeva
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It seems that the issues is not actual anymore as no response. Closing it. Feel free to reopen it or create a new one.

eshoguli pushed a commit to eshoguli/openvino that referenced this issue Jun 1, 2021
@apankratovantonp
Removed depricated macro usage (openvinotoolkit#94)
d0d397b
eaidova pushed a commit to eaidova/openvino that referenced this issue Jan 12, 2023
@mvafin
Small refactoring (openvinotoolkit#94)
f8a6694 
* Small refactoring

* Fix type

* Fix python codestyle
ilya-lavrenov pushed a commit that referenced this issue Jan 18, 2023
@mvafin @eaidova
@bszmelcz @slyalin @sikorsl1 @mmikolajcz @rkazants
Add PyTorch Frontend (#15069)
53e699e 
* WIP

* update input validation

* upsample_nearest2d and upsample_bilinear2d support

* support leaky_relu add test for inplace relu

* update tests, add handler for ListConstruct

* Do not create extra outputs in main body

* add positive case with non-default value

* update testing

* update test, handle non constant size and scale

* remove ie_device

* add aten::group_norm support

* refactoring

* Enable aten::reshape_as operator and add layer test

* more tests

* Fix typo in test

* Resolve conflicts

* fix code style

* expand init version

* expand_as and tests

* add transposed convolutions support

* add tests

* initial support pad

* add circular

* update for differenced in rang

* cleanup

* refactor

* more tests

* apply review comments

* Add split+listunpack transformation

* Add split+getitem transformation

* Add test cases

* fix typo

* Minor fixes

* Apply suggestions from code review

Co-authored-by: Maxim Vafin <[email protected]>

* Apply suggestions from code review

* Small fix

* Support converting models without freezing

* support BoolTensor and masked_fill

* add support aten::rsqrt and test for sqrt

* add cumsum and type_as

* support clamp

* support more matrix operations

* add tests

* Add aten::adaptive_avg_pool3d and layer test

* Change to rank

* fix code style in utils.hpp

* Update src/frontends/pytorch/src/op_table.cpp

Co-authored-by: Sergey Lyalin <[email protected]>

* fix code style

* add tests

* add xfail

* remove unnecessary broadcast

* Changes required by style formater

* aten::_convolution_mode

* Changes requested by a reviewer

* remove code duplication

* add aten::unbind transformation

* full, zeros and ones

* Support getattr list and unrolling nested ifs

* Remove line change

* Enable back freezing in layer tests

* Add aten::norm operator and layer test

* Small fix in layer test

* add aten::roll

* add empty line

* Typo fix

* fix style

* fix style v2

* add pytorch frontend to wheel

* Support all types of numeric norms

* add check for dynamic shapes

* remove random change

* merge statements

* add min and max ops support

* aten::max and aten::min

* move axes range creation to utils

* add transformation for tuple results, update tests

* fix copyright

* aten::var

* add test and translation for numel

* ignore aten::clone

* Add layer test for aten::add operator

* Fix typo

* Remove redundant import

* Add parameter name in forward method

* fix code style

* apply review comments

* Add size+slice+listunpack transform

* Add append listunpack transformation

* Register transformation

* aten::where

* update realization

* Fix issue with getitem

* Fix getitem

* Add layer test for aten::view operator

* Add tests for listunpack

* add test for aten::div

* fix style

* update aten::adaptive_max_pool2d

* fix style

* add aten::floor_divide

* aten::addmm support alpha and beta with different dtype

* nonzero

* Change test name

* update test cases to include other dtypes

* aten::arange

* prim::max transformation for ListConstruct

* rename op

* generalize conv2d implementation for conv1d and conv3d

* aten::unsqueeze_ and tests for aten::unsqueeze (#70)

* add aten::le, aten::ge and tests for other tensor comparision ops (#74)

* add support trigonometry ops (#73)

* support aten::upsample_bicubic2d, aten::ceil, aten::floor (#72)

Co-authored-by: Maxim Vafin <[email protected]>

* extend and add tests for avg_pool and max_pool

* extend tests and constant filling ops

* fix as_tensor and full ops

* aten::repeat

* fix code style

* aten::im2col (#61)

* aten::im2col

* remove debug prints, add number of elements check

* fix failed tests

* move helper function

* use split

* Update src/frontends/pytorch/src/op/im2col.cpp

Co-authored-by: Maxim Vafin <[email protected]>

* fix code style

Co-authored-by: Maxim Vafin <[email protected]>

* Update src/frontends/pytorch/src/utils.cpp

Co-authored-by: Maxim Vafin <[email protected]>

* fix code style

* revert removeinf floordiv, add floor_divide file

* Fix merge issue

* reduce code duplication

* refactor

* Add len operator with layer test

* update clamp to support mixed precision and add support torch.long for constants

* aten::selu

* add trunc mode to div

* add else statement

* Add test case to layer test

* Fix submodules (#88)

* update test file

* fix namings

* execute in fp64 and convert back to initial precision

* Revert set_output_size to master. Small fix in If validate

* Fix build and code style

* fix failed tests

* Add torchvision::nms operator and layer test

* Change requested by a reviewer

* Remove div test

* convert constants to input type

* Mark some cases in div tests as xfail (#93)

* Small refactoring (#94)

* Small refactoring

* Fix type

* Fix python codestyle

* Incremental fix code style (#95)

* Fix style (#96)

* Fix copyright

* Fix code style

* Branch clean up (#97)

* Optimize includes and force opset10 (#98)

* Optimize includes

* Force opset10 in pt fe

* Fix codestyle (#99)

* Fix style

* Fix clang codestyle

* Fix cerr with debug log

* Update src/bindings/python/src/pyopenvino/frontend/pytorch/decoder.cpp

* Add pytorch dependency only if pytorch frontend is enabled

* Update src/bindings/python/src/pyopenvino/CMakeLists.txt

* Add layer tests to precommit (#100)

* Add layer tests to precommit

* Remove accidentally added files

* Apply code style on layer tests

* batch norm tests and fixes

* move default weight and bias to else block

* reduce code duplication

* Changes requested by a reviewer

* Changes requested by a reviewer

* Remove dependency from pytorch in pyopenvino (#102)

* Remove dependency from pytorch when fe is disabled

* Change docstring

* Remove pytorch FE dependency from pyopenvino

* Apply codestyle (#107)

* Apply codestyle

* Remove commented line

* Apply suggestions from code review

Co-authored-by: Roman Kazantsev <[email protected]>

* Fix mock FE test (#108)

* Fix mock PE test (#111)

* Revert changes in StridedSlice (#114)

* Small refactoring (#116)

* Small refactoring

* Fix codestyle

* Apply suggestions from code review

Co-authored-by: Roman Kazantsev <[email protected]>

* Apply suggestions from code review

* Update src/frontends/pytorch/src/op/group_norm.cpp

* Fix cmake copyright define (#117)

* Update src/frontends/pytorch/src/op/arange.cpp

* Apply suggestions from code review

* Update build configs (#120)

* FIx build configs

* Update type cast in full.cpp

* Apply review feedback (#121)

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Roman Kazantsev <[email protected]>

* Fix issue after master merge (#122)

* Fix issue after master merge

* Fix build

Co-authored-by: eaidova <[email protected]>
Co-authored-by: bszmelcz <[email protected]>
Co-authored-by: Sergey Lyalin <[email protected]>
Co-authored-by: sikorsl1 <[email protected]>
Co-authored-by: Leonard Sikorski <[email protected]>
Co-authored-by: Mateusz <[email protected]>
Co-authored-by: Roman Kazantsev <[email protected]>
jane-intel referenced this issue in jane-intel/openvino Jan 19, 2023
@mvafin @eaidova
@bszmelcz @slyalin @sikorsl1 @mmikolajcz @rkazants
Add PyTorch Frontend (openvinotoolkit#15069)
b54ca8c 
* WIP

* update input validation

* upsample_nearest2d and upsample_bilinear2d support

* support leaky_relu add test for inplace relu

* update tests, add handler for ListConstruct

* Do not create extra outputs in main body

* add positive case with non-default value

* update testing

* update test, handle non constant size and scale

* remove ie_device

* add aten::group_norm support

* refactoring

* Enable aten::reshape_as operator and add layer test

* more tests

* Fix typo in test

* Resolve conflicts

* fix code style

* expand init version

* expand_as and tests

* add transposed convolutions support

* add tests

* initial support pad

* add circular

* update for differenced in rang

* cleanup

* refactor

* more tests

* apply review comments

* Add split+listunpack transformation

* Add split+getitem transformation

* Add test cases

* fix typo

* Minor fixes

* Apply suggestions from code review

Co-authored-by: Maxim Vafin <[email protected]>

* Apply suggestions from code review

* Small fix

* Support converting models without freezing

* support BoolTensor and masked_fill

* add support aten::rsqrt and test for sqrt

* add cumsum and type_as

* support clamp

* support more matrix operations

* add tests

* Add aten::adaptive_avg_pool3d and layer test

* Change to rank

* fix code style in utils.hpp

* Update src/frontends/pytorch/src/op_table.cpp

Co-authored-by: Sergey Lyalin <[email protected]>

* fix code style

* add tests

* add xfail

* remove unnecessary broadcast

* Changes required by style formater

* aten::_convolution_mode

* Changes requested by a reviewer

* remove code duplication

* add aten::unbind transformation

* full, zeros and ones

* Support getattr list and unrolling nested ifs

* Remove line change

* Enable back freezing in layer tests

* Add aten::norm operator and layer test

* Small fix in layer test

* add aten::roll

* add empty line

* Typo fix

* fix style

* fix style v2

* add pytorch frontend to wheel

* Support all types of numeric norms

* add check for dynamic shapes

* remove random change

* merge statements

* add min and max ops support

* aten::max and aten::min

* move axes range creation to utils

* add transformation for tuple results, update tests

* fix copyright

* aten::var

* add test and translation for numel

* ignore aten::clone

* Add layer test for aten::add operator

* Fix typo

* Remove redundant import

* Add parameter name in forward method

* fix code style

* apply review comments

* Add size+slice+listunpack transform

* Add append listunpack transformation

* Register transformation

* aten::where

* update realization

* Fix issue with getitem

* Fix getitem

* Add layer test for aten::view operator

* Add tests for listunpack

* add test for aten::div

* fix style

* update aten::adaptive_max_pool2d

* fix style

* add aten::floor_divide

* aten::addmm support alpha and beta with different dtype

* nonzero

* Change test name

* update test cases to include other dtypes

* aten::arange

* prim::max transformation for ListConstruct

* rename op

* generalize conv2d implementation for conv1d and conv3d

* aten::unsqueeze_ and tests for aten::unsqueeze (#70)

* add aten::le, aten::ge and tests for other tensor comparision ops (#74)

* add support trigonometry ops (#73)

* support aten::upsample_bicubic2d, aten::ceil, aten::floor (#72)

Co-authored-by: Maxim Vafin <[email protected]>

* extend and add tests for avg_pool and max_pool

* extend tests and constant filling ops

* fix as_tensor and full ops

* aten::repeat

* fix code style

* aten::im2col (#61)

* aten::im2col

* remove debug prints, add number of elements check

* fix failed tests

* move helper function

* use split

* Update src/frontends/pytorch/src/op/im2col.cpp

Co-authored-by: Maxim Vafin <[email protected]>

* fix code style

Co-authored-by: Maxim Vafin <[email protected]>

* Update src/frontends/pytorch/src/utils.cpp

Co-authored-by: Maxim Vafin <[email protected]>

* fix code style

* revert removeinf floordiv, add floor_divide file

* Fix merge issue

* reduce code duplication

* refactor

* Add len operator with layer test

* update clamp to support mixed precision and add support torch.long for constants

* aten::selu

* add trunc mode to div

* add else statement

* Add test case to layer test

* Fix submodules (#88)

* update test file

* fix namings

* execute in fp64 and convert back to initial precision

* Revert set_output_size to master. Small fix in If validate

* Fix build and code style

* fix failed tests

* Add torchvision::nms operator and layer test

* Change requested by a reviewer

* Remove div test

* convert constants to input type

* Mark some cases in div tests as xfail (#93)

* Small refactoring (#94)

* Small refactoring

* Fix type

* Fix python codestyle

* Incremental fix code style (#95)

* Fix style (#96)

* Fix copyright

* Fix code style

* Branch clean up (#97)

* Optimize includes and force opset10 (#98)

* Optimize includes

* Force opset10 in pt fe

* Fix codestyle (#99)

* Fix style

* Fix clang codestyle

* Fix cerr with debug log

* Update src/bindings/python/src/pyopenvino/frontend/pytorch/decoder.cpp

* Add pytorch dependency only if pytorch frontend is enabled

* Update src/bindings/python/src/pyopenvino/CMakeLists.txt

* Add layer tests to precommit (#100)

* Add layer tests to precommit

* Remove accidentally added files

* Apply code style on layer tests

* batch norm tests and fixes

* move default weight and bias to else block

* reduce code duplication

* Changes requested by a reviewer

* Changes requested by a reviewer

* Remove dependency from pytorch in pyopenvino (#102)

* Remove dependency from pytorch when fe is disabled

* Change docstring

* Remove pytorch FE dependency from pyopenvino

* Apply codestyle (#107)

* Apply codestyle

* Remove commented line

* Apply suggestions from code review

Co-authored-by: Roman Kazantsev <[email protected]>

* Fix mock FE test (#108)

* Fix mock PE test (#111)

* Revert changes in StridedSlice (#114)

* Small refactoring (#116)

* Small refactoring

* Fix codestyle

* Apply suggestions from code review

Co-authored-by: Roman Kazantsev <[email protected]>

* Apply suggestions from code review

* Update src/frontends/pytorch/src/op/group_norm.cpp

* Fix cmake copyright define (#117)

* Update src/frontends/pytorch/src/op/arange.cpp

* Apply suggestions from code review

* Update build configs (#120)

* FIx build configs

* Update type cast in full.cpp

* Apply review feedback (#121)

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Roman Kazantsev <[email protected]>

* Fix issue after master merge (#122)

* Fix issue after master merge

* Fix build

Co-authored-by: eaidova <[email protected]>
Co-authored-by: bszmelcz <[email protected]>
Co-authored-by: Sergey Lyalin <[email protected]>
Co-authored-by: sikorsl1 <[email protected]>
Co-authored-by: Leonard Sikorski <[email protected]>
Co-authored-by: Mateusz <[email protected]>
Co-authored-by: Roman Kazantsev <[email protected]>
allnes pushed a commit to allnes/openvino that referenced this issue Jan 26, 2023
@ilya-lavrenov @dmitry-gorokhov
Compilation for WASM and RISCV64 (openvinotoolkit#94)
7198441
alvoron pushed a commit to alvoron/openvino that referenced this issue Apr 11, 2023
@ilya-lavrenov @dmitry-gorokhov
Compilation for WASM and RISCV64 (openvinotoolkit#94)
ddcaded
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@erezposner @shubha-ramani @lazarevevgeny @AnastasiaKazantaeva