Data structure representing the number of data elements to implicitly add to each size of the two-dimensional subtensor on which 2D transposed convolution is performed.
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- Deprecated:
- This item will be removed in a future release.
def __init__ |
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first, |
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second |
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Constructs the structure representing the number of data elements to implicitly add to each size of the two-dimensional subtensor on which 2D transposed convolution is performed
- Parameters
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first | Number of data elements to add to the the first dimension of the two-dimensional subtensor |
second | Number of data elements to add to the the second dimension of the two-dimensional subtensor |
- Deprecated:
- This item will be removed in a future release.
The documentation for this class was generated from the following file:
- algorithms/neural_networks/layers/transposed_conv2d/__init__.py