Converting a Simple Deep Learning Model from PyTorch to TensorFlow

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Now, we need to convert the .pt There are two things we need to take note here: 1) we need to pass a dummy input through the PyTorch model first before exporting, and 2) the dummy input needs to have the shape (1, dimension(s) of single input). For example, if the single input is an image array with the shape (number of channels, height, width), then the dummy input needs to have the shape (1, number of channels, height, width). The dummy input is needed as an input placeholder for the resulting TensorFlow model). The following snippet shows the process of exporting the PyTorch model in the ONNX format.

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