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fix bug for pool2d_convert #37929

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Dec 8, 2021
Merged

fix bug for pool2d_convert #37929

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16 changes: 2 additions & 14 deletions paddle/fluid/inference/tensorrt/convert/pool2d_op.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -162,27 +162,15 @@ class Pool2dOpConverter : public OpConverter {
}
layer = pool_layer;
} else if (!adaptive && !global_pooling && ceil_mode) {
nvinfer1::DimsHW pre_pad(0, 0);
nvinfer1::DimsHW post_pad(0, 0);
// If ceil mode is true, we will pad the appropriate size to the input.
DealCeilMode(input_shape, ksize, strides, paddings, &pre_pad, &post_pad,
input_dims);
auto *pad_layer = TRT_ENGINE_ADD_LAYER(
engine_, Padding, *const_cast<nvinfer1::ITensor *>(input1), pre_pad,
post_pad);
PADDLE_ENFORCE_NOT_NULL(
pad_layer, platform::errors::Fatal(
"Pad layer in poolOp converter could not be "
"created. The pointer to pad layer is `NULL`."));
input1 = pad_layer->getOutput(0);

auto *pool_layer = TRT_ENGINE_ADD_LAYER(engine_, Pooling, *input1,
nv_pool_type, nv_ksize);
pool_layer->setStride(nv_strides);
pool_layer->setPadding(nv_paddings);
pool_layer->setAverageCountExcludesPadding(exclusive);
if (padding_algorithm == "SAME") {
pool_layer->setPaddingMode(nvinfer1::PaddingMode::kSAME_UPPER);
} else {
pool_layer->setPaddingMode(nvinfer1::PaddingMode::kEXPLICIT_ROUND_UP);
}
layer = pool_layer;
} else if (global_pooling) {
Expand Down