Tensorflow padding 大小转换公式

https://www.tensorflow.org/api_guides/python/nn#convolution

1.SAME

输入输出尺寸转换式子

out_height = ceil(float(in_height) / float(strides[1]))
out_width = ceil(float(in_width) / float(strides[2]))

padding总数为

if (in_height % strides[1] == 0):
pad_along_height = max(filter_height - strides[1], 0)
else:
pad_along_height = max(filter_height - (in_height % strides[1]), 0)
if (in_width % strides[2] == 0):
pad_along_width = max(filter_width - strides[2], 0)
else:
pad_along_width = max(filter_width - (in_width % strides[2]), 0)

padding上下左右数为

pad_top = pad_along_height // 2
pad_bottom = pad_along_height - pad_top
pad_left = pad_along_width // 2
pad_right = pad_along_width - pad_left

2.VALID

输入输出尺寸转换式子

out_height = ceil(float(in_height - filter_height + 1) / float(strides[1]))
out_width = ceil(float(in_width - filter_width + 1) / float(strides[2]))

padding总数为

if (in_height % strides[1] == 0):
pad_along_height = max(filter_height - strides[1], 0)
else:
pad_along_height = max(filter_height - (in_height % strides[1]), 0)
if (in_width % strides[2] == 0):
pad_along_width = max(filter_width - strides[2], 0)
else:
pad_along_width = max(filter_width - (in_width % strides[2]), 0)

padding上下左右数为

pad_top = pad_along_height // 2
pad_bottom = pad_along_height - pad_top
pad_left = pad_along_width // 2
pad_right = pad_along_width - pad_left