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tf.keras.ops.pad
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Pad a tensor.

Main aliases

tf.keras.ops.numpy.pad

tf.keras.ops.pad(
    x, pad_width, mode='constant', constant_values=None
)

Args
`x`	Tensor to pad.
`pad_width`	Number of values padded to the edges of each axis. `((before_1, after_1), ...(before_N, after_N))` unique pad widths for each axis. `((before, after),)` yields same before and after pad for each axis. `(pad,)` or `int` is a shortcut for `before = after = pad` width for all axes.
`mode`	One of `"constant"`, `"edge"`, `"linear_ramp"`, `"maximum"`, `"mean"`, `"median"`, `"minimum"`, `"reflect"`, `"symmetric"`, `"wrap"`, `"empty"`, `"circular"`. Defaults to`"constant"`.
`constant_values`	value to pad with if `mode == "constant"`. Defaults to `0`. A `ValueError` is raised if not None and `mode != "constant"`.

Note
Torch backend only supports modes `"constant"`, `"reflect"`, `"symmetric"` and `"circular"`. Only Torch backend supports `"circular"` mode.

Note
Tensorflow backend only supports modes `"constant"`, `"reflect"` and `"symmetric"`.

Returns
Padded tensor.

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Last updated 2024-06-07 UTC.

Args