conv_general_dilated实现

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风吹稻花香 发表于 2021/06/05 01:13:08 2021/06/05
【摘要】   参考: https://github.com/DarrenZhang01/TensorFlow_GSoC/blob/2fd360c8b1b8c9106044034f6a8b5c2734db9c3d/tf_jax_stax/tf_conv_general.py 结果应该还不对: """This file contains a general conv o...

 

参考:

https://github.com/DarrenZhang01/TensorFlow_GSoC/blob/2fd360c8b1b8c9106044034f6a8b5c2734db9c3d/tf_jax_stax/tf_conv_general.py

结果应该还不对:


  
  1. """
  2. This file contains a general conv operation for TensorFlow.
  3. Zhibo Zhang, 2020.06.06
  4. """
  5. import torch.nn as nn
  6. import numpy as np
  7. import tensorflow as tf
  8. # # Translate dimension numbers from number representations into string
  9. # # representations
  10. # #
  11. # # For example, in a 1D case, "NWC" means "# batches", "spatial dimensions" and
  12. # # "# Channels (features)", so the according number representations based on order
  13. # # "batch dimension, feature dimension, spatial dimension" is tuple (0, 2, 1);
  14. # #
  15. # # The reverse translation is simple. Set the default mapping

文章来源: blog.csdn.net,作者:网奇,版权归原作者所有,如需转载,请联系作者。

原文链接:blog.csdn.net/jacke121/article/details/113806678

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