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)`

# '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]]

Args | |
---|---|

`input` | A `Tensor` . |

`paddings` | A `Tensor` . Must be one of the following types: `int32` , `int64` . |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A `Tensor` . Has the same type as `input` . |

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Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/Pad