tf.raw_ops.Pad

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Pads a tensor with zeros.

tf.raw_ops.Pad(     input, paddings, name=None ) 

This operation pads a input with zeros according to the paddings you specify. paddings is an integer tensor with shape [Dn, 2], where n is the rank of input. For each dimension D of input, paddings[D, 0] indicates how many zeros to add before the contents of input in that dimension, and paddings[D, 1] indicates how many zeros to add after the contents of input in that dimension.

The padded size of each dimension D of the output is:

paddings(D, 0) + input.dim_size(D) + paddings(D, 1)

For example:

# 't' is [[1, 1], [2, 2]] # 'paddings' is [[1, 1], [2, 2]] # rank of 't' is 2 pad(t, paddings) ==> [[0, 0, 0, 0, 0, 0]                       [0, 0, 1, 1, 0, 0]                       [0, 0, 2, 2, 0, 0]                       [0, 0, 0, 0, 0, 0]]