Question about the API document of convolution

[NianzuMa]

In issue 196, the problem of definition of different padding is mentioned.
https://www.tensorflow.org/versions/master/api_docs/python/nn.html#convolution

I think the document of convolution is still quite confusing right now.
What does the different dimension of strides = [1, 1, 1, 1] mean?
Why the definition of "VALID" and "SAME" padding is quite different from the Stanford cs131n tutorial.

I think most of the people learn CNN according to the tutorials online. Is it possible to modify the document according to the tutorial? Thank you very much.

[cesarsalgado]

The strides = [1, 2, 2, 1] are the strides for each of the dimension of the input tensor [batch, in_height, in_width, in_channels]. For the tf.nn.conv2d function the dimension 0 and 3 must have strides equal to 1. Based on what @Yangqing said in #196 I think the padding scheme is non-intuitive due to legacy reasons.

[girving]

Closing due to lack of activity.