tf.raw_ops.Prelinearize

An op which linearizes one Tensor value to an opaque variant tensor.

Compat aliases for migration

tf.compat.v1.raw_ops.Prelinearize

tf.raw_ops.Prelinearize(
    input, shape=[], layout=[], name=None
)

Args
`input`	A `Tensor`. A tensor that will be linearized.
`shape`	An optional `tf.TensorShape` or list of `ints`. Defaults to `[]`. The shape of the tensor.
`layout`	An optional list of `ints`. Defaults to `[]`. A vector holding the requested layout in minor-to-major sequence. If a layout attribute is passed but its values are all -1 the layout will be computed by the infeed operation.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `variant`.

© 2020 The TensorFlow Authors. All rights reserved.
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/Prelinearize