1.26.1

• Added Float32 as an option for input and output types after quantization.

  -iqd {int8,uint8,float32}, --input_quant_dtype {int8,uint8,float32}
    Input dtypes when doing Full INT8 Quantization.
    "int8"(default) or "uint8" or "float32"
  
  -oqd {int8,uint8,float32}, --output_quant_dtype {int8,uint8,float32}
    Output dtypes when doing Full INT8 Quantization.
    "int8"(default) or "uint8" or "float32"

What's Changed

• Comment fix. input_quant_dtype, output_quant_dtype by @PINTO0309 in #706
• Update replace_slice.json reference by @emmanuel-ferdman in #708
• Fixed mistake of #710 by @marcoschepis in #711
• Added Float32 option by @PINTO0309 in #712

New Contributors

• @emmanuel-ferdman made their first contribution in #708

Full Changelog: 1.26.0...1.26.1

1.26.0

• API changed

  • The input and output quantization types can now be specified with separate, different parameters for input and output.
  • Abolition
    • input_output_quant_dtype
  • Addition
    • input_quant_dtype
    • output_quant_dtype

• Conv

  • Supports parameter substitution for post-processing of Conv.
  • replace_conv.json

    {
      "format_version": 1,
      "operations": [
        {
          "op_name": "wa/conv/Conv",
          "param_target": "outputs",
          "param_name": "output",
          "post_process_transpose_perm": [0,3,1,2]
        }
      ]
    }

  • test

    onnx2tf -i model_conv.onnx -kat input -prf replace_conv.json
    

    

• Mul

  • Improved conversion stability of Mul.
    

• Error by broadcasting in tf.math.Multiply Operation #698

• Add transposition to the tflite model #700

• README corrections due to API changes (I'll get serious from tomorrow) #702

What's Changed

• Input and output quantization chosen separately by @marcoschepis in #701
• Updated README.md by @marcoschepis in #703
• Supports parameter substitution for post-processing of Conv by @PINTO0309 in #704
• Improved conversion stability of Mul by @PINTO0309 in #705

New Contributors

• @marcoschepis made their first contribution in #701

Full Changelog: 1.25.15...1.26.0

1.25.15

• Mul, Add
  • Fixed to force switch between X and Y when X: np.ndarray, Y: Tensor

    onnx2tf -i 1005_s0_nonar_text_decoder.onnx -cotof
    

    
• Error by broadcasting in tf.math.Multiply Operation #698

What's Changed

• Fixed to force switch between X and Y when X: np.ndarray, Y: Tensor by @PINTO0309 in #699

Full Changelog: 1.25.14...1.25.15

1.25.14

• ArgMin
  • Dealing with garbage-like broken structures in ONNX (ArgMin) #695
• [YOLOv7] None in graph_node_input.shape #694

What's Changed

• Dealing with garbage-like broken structures in ONNX (ArgMin) #695 by @PINTO0309 in #696

Full Changelog: 1.25.13...1.25.14

1.25.13

• ArgMax, Faltten
  • Dealing with garbage-like broken structures in ONNX.
    
    
• [YOLOv7] None in graph_node_input.shape #694

What's Changed

• Dealing with garbage-like broken structures in ONNX by @PINTO0309 in #695

Full Changelog: 1.25.12...1.25.13

1.25.12

• Flatten
  • Improved handling when axis attribute is not defined and the batch size of the first dimension is undefined.
  • ONNX
    

    wget https://github.com/PINTO0309/onnx2tf/releases/download/0.0.2/resnet18-v1-7.onnx
    onnx2tf -i resnet18-v1-7.onnx
    
    ls -lh saved_model/
    
    assets
    fingerprint.pb
    resnet18-v1-7_float16.tflite
    resnet18-v1-7_float32.tflite
    saved_model.pb
    variables
    
    TF_CPP_MIN_LOG_LEVEL=3 \
    saved_model_cli show \
    --dir saved_model \
    --signature_def serving_default \
    --tag_set serve
    
    The given SavedModel SignatureDef contains the following input(s):
      inputs['data'] tensor_info:
          dtype: DT_FLOAT
          shape: (-1, 224, 224, 3)
          name: serving_default_data:0
    The given SavedModel SignatureDef contains the following output(s):
      outputs['output_0'] tensor_info:
          dtype: DT_FLOAT
          shape: (-1, 1000)
          name: PartitionedCall:0
    Method name is: tensorflow/serving/predict

  • TFLite
    

What's Changed

• Improved handling when axis attribute is not defined and the batch size of the first dimension is undefined. by @PINTO0309 in #692

Full Changelog: 1.25.11...1.25.12

1.25.11

• BatchNormalization
  • Improved the conversion stability of BatchNormalization.

What's Changed

• Improved the conversion stability of BatchNormalization. by @PINTO0309 in #690

Full Changelog: 1.25.10...1.25.11

1.25.10

• Flatten
  • Addressed the issue of missing conversions when multi-dimensional flattening is performed and the batch size of the first dimension is an undefined dimension.

    ONNX	TFLite

• [EfficientNetV2_m] Output size is constant not variable #688

What's Changed

• Addressed the issue of missing conversions when multi-dimensional flattening is performed and the batch size of the first dimension is an undefined dimension. by @PINTO0309 in #689

Full Changelog: 1.25.9...1.25.10

1.25.9

• Add, Sub
  • https://huggingface.co/onnx-community/metric3d-vit-small/blob/main/onnx/model.onnx
  • metric3d-vit-small.onnx
  • Fixed a bug in the optimization process for arithmetic operations. The error of the final output was less than 1e-4.
    
• A bug in the optimization process for the y = (200 - x) - 200 operation caused an incorrect Sub merge operation to be performed.
• Model gives inaccurate results post conversion to tflite #685

What's Changed

• Fixed a bug in the optimization process for arithmetic operations by @PINTO0309 in #686

Full Changelog: 1.25.8...1.25.9

1.25.8

• Shape
  • Fixed problem of being stuck in an infinite loop.
• An input to an ADD node keeps getting casted to float32 despite being float16 in the onnx file causing issues with the ADD op #681

What's Changed

• Fixed problem of being stuck in an infinite loop by @PINTO0309 in #682

Full Changelog: 1.25.7...1.25.8