/TensorFlow 2.4


Gradient op for MirrorPad op. This op folds a mirror-padded tensor.

This operation folds the padded areas of input by MirrorPad according to the paddings you specify. paddings must be the same as paddings argument given to the corresponding MirrorPad op.

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

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

For example:

# 't' is [[1, 2, 3], [4, 5, 6], [7, 8, 9]].
# 'paddings' is [[0, 1]], [0, 1]].
# 'mode' is SYMMETRIC.
# rank of 't' is 2.
pad(t, paddings) ==> [[ 1,  5]
                      [11, 28]]
input A Tensor. The input tensor to be folded.
paddings A Tensor. Must be one of the following types: int32, int64. A two-column matrix specifying the padding sizes. The number of rows must be the same as the rank of input.
mode A string from: "REFLECT", "SYMMETRIC". The mode used in the MirrorPad op.
name A name for the operation (optional).
A Tensor. Has the same type as input.

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