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
- Improved handling when
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