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