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PINTO0309 / onnx2tf

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
MIT License
687 stars 72 forks source link

[TODO] Quantization parameters may be corrupted when quantization is performed with the `coion` option #429

Closed PINTO0309 closed 3 months ago

PINTO0309 commented 1 year ago

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. https://github.com/PINTO0309/PINTO_model_zoo/issues/352
PINTO0309 commented 3 months ago

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