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:
# '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]]
Args
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]