Tools to convert ONNX files (NCHW) to TensorFlow format (NHWC)

• Softmax
  • Detect conversion errors in axis and identify the axis with the smallest possible error and replace it.
  • Automatic selection of the axis with the smallest error by measuring the error of all axes in the process of model transformation.
  • Because the minimum inference is performed multiple times, the conversion speed of the model including Softmax is slightly slower, instead of no longer incurring an accuracy error.
  • Almost eliminates conversion errors in Softmax operations in Transformer models that contain a large number of Softmax, such as MobileFormer.
  • This implementation can be applied to various OPs that handle axis. For example, ReduceXX, ArgMax.
  • The sample JSON file was modified to reflect this improvement. https://github.com/PINTO0309/onnx2tf/blob/main/json_samples/replace_MobileFormer-e9.json

Implementation of strict mode #145 [MobileFormer] Converted model outputs values mismatch with original ones. #105 [MobileFormer]Dimensions must be equal [Add Layer] #103

• Softmax Detect conversion errors in axis and identify the axis with the smallest possible error and replace it. by @PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/152

Full Changelog: https://github.com/PINTO0309/onnx2tf/compare/1.5.32...1.5.33