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What is the purpose of the tf.pad operation? Can it be combined with conv2d or max_pool? #13

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suphy2009 opened this issue Jun 4, 2018 · 0 comments

suphy2009 commented Jun 4, 2018 •

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I notice that tf.pad is used in the code. What is the purpose? Can it be combined with conv2d or max_pool?

For example:
In model.py,
padded = tf.pad(conv1, [[0, 0], [0, 1], [0, 1], [0, 0]], "CONSTANT")

In shufflenet_unit,
padded = tf.pad(shuffled, [[0, 0], [1, 1], [1, 1], [0, 0]], "CONSTANT")

Looking forward to your reply！

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