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Get info about inputs and outputs of onnx-model - MetaTrader 5용 스크립트

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게시됨:
2023.03.24 15:36
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Create model from mnist.onnx with debug logs
ONNX: Creating and using per session threadpools since use_per_session_threads_ is true
ONNX: Dynamic block base set to 0
ONNX: Initializing session.
ONNX: Adding default CPU execution provider.
ONNX: Removing initializer 'Parameter6'. It is no longer used by any node.
ONNX: Removing initializer 'Parameter88'. It is no longer used by any node.
ONNX: Total shared scalar initializer count: 0
ONNX: Removing initializer 'Parameter193_reshape1_shape'. It is no longer used by any node.
ONNX: Removing initializer 'Parameter193'. It is no longer used by any node.
ONNX: Total fused reshape node count: 0
ONNX: Total shared scalar initializer count: 0
ONNX: Total fused reshape node count: 0
ONNX: Removing initializer 'Parameter5'. It is no longer used by any node.
ONNX: Removing initializer 'Parameter87'. It is no longer used by any node.
ONNX: Use DeviceBasedPartition as default
ONNX: Saving initialized tensors.
ONNX: Done saving initialized tensors
ONNX: Session successfully initialized.
model has 1 input(s)
0 input name is Input3
   type ONNX_TYPE_TENSOR
   data type ONNX_DATA_TYPE_FLOAT
   shape [1, 1, 28, 28]
   shape of input data can be reduced to [28, 28]
model has 1 output(s)
0 output name is Plus214_Output_0
   type ONNX_TYPE_TENSOR
   data type ONNX_DATA_TYPE_FLOAT
   shape [1, 10]
   shape of output data can be reduced to [10]

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Official example involve complex wrapper classes, Here is a simple one

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Information about the ONNX model's inputs and outputs Information about the ONNX model's inputs and outputs

The script obtains information about the number, types and sizes of input and output tensors in an ONNX model

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