tf.raw_ops.MirrorPadGrad

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

tf.raw_ops.MirrorPadGrad(
    input, paddings, mode, name=None
)

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]]