[TF2] add GAN #1716
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[TF2] add GAN #1716
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added 4 commits
April 12, 2021 00:21
loss_D 0.683, loss_G 0.683, 267.2 examples/sec Check https://github.com/StevenJokess/d2l-en-read/blob/moreme/chapter-generative-adversarial-networks/gan-tf-ok/gan_tf6%20(3).ipynb
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Job d2l-en/PR-1716/4 is complete. |
使用 tf.function 加快训练步骤的速度 TensorFlow 2.0 中的默认运行时为 Eager Execution。因此，上面的训练循环会以 Eager 模式执行。 这对于调试非常有用，但计算图编译具有确定的性能优势。将您的计算描述为静态计算图可以使框架应用全局性能优化。当框架受约束而以贪心方式一个接一个地执行运算，而又不知道接下来会发生什么时，便无法做到这一点。 以张量为输入的任何函数都可以编译为静态计算图。只需添加一个 @tf.function 装饰器，具体如下所示： @tf.function https://tensorflow.google.cn/guide/keras/writing_a_training_loop_from_scratch?hl=zh-cn
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Job d2l-en/PR-1716/5 is complete. |
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Job d2l-en/PR-1716/6 is complete. |
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https://discuss.d2l.ai/t/topic/2563 Again, please stop any inappropriate conduct on all channels of D2L. Since this is not the first violation of our code of conduct, we'll welcome you back once you learn how to behave properly and secure a job (this was already mentioned before). Good luck. |
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loss_D 0.683, loss_G 0.683, 267.2 examples/sec
Check https://github.com/StevenJokess/d2l-en-read/blob/moreme/chapter-generative-adversarial-networks/gan-tf-ok/gan_tf6%20(3).ipynb
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