[TODO] Quantization parameters may be corrupted when quantization is performed with the coion option

[PINTO0309]

Issue Type

Others

OS

Linux

onnx2tf version number

1.15.1

onnx version number

1.13.1

onnxruntime version number

1.15.0

onnxsim (onnx_simplifier) version number

0.4.33

tensorflow version number

2.13.0

Download URL for ONNX

face_detection_yunet_2023mar.onnx.zip

Parameter Replacement JSON

N/A

Description

1. Personal
2. 387_YuNetV2 TFLite integer models cannot allocate tensors PINTO_model_zoo#352

[PINTO0309]

Fix: TensorFlow v2.17.0

2024-07-14 09:51:27.944006: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-07-14 09:51:27.955375: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-07-14 09:51:27.958913: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-07-14 09:51:27.967599: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-07-14 09:51:29.322244: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Using TensorFlow 2.17.0
Using model saved_model/face_detection_yunet_2023mar_integer_quant.tflite
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
Allocated Tensors