tf.compat.v1.ones_like
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Creates a tensor with all elements set to 1.
tf.compat.v1.ones_like(
tensor, dtype=None, name=None, optimize=True
)
See also tf.ones.
Given a single tensor (tensor), this operation returns a tensor of the same
type and shape as tensor with all elements set to 1. Optionally, you can
specify a new type (dtype) for the returned tensor.
For example:
tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.ones_like(tensor) # [[1, 1, 1], [1, 1, 1]]
Args |
|---|
tensor
|
A Tensor.
|
dtype
|
A type for the returned Tensor. Must be float32, float64,
int8, uint8, int16, uint16, int32, int64, complex64,
complex128 or bool.
|
name
|
A name for the operation (optional).
|
optimize
|
if true, attempt to statically determine the shape of 'tensor' and
encode it as a constant.
|
Returns |
|---|
A Tensor with all elements set to 1.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.compat.v1.ones_like\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/array_ops.py#L3070-L3101) |\n\nCreates a tensor with all elements set to 1. \n\n tf.compat.v1.ones_like(\n tensor, dtype=None, name=None, optimize=True\n )\n\nSee also [`tf.ones`](../../../tf/ones).\n\nGiven a single tensor (`tensor`), this operation returns a tensor of the same\ntype and shape as `tensor` with all elements set to 1. Optionally, you can\nspecify a new type (`dtype`) for the returned tensor.\n\n#### For example:\n\n tensor = tf.constant([[1, 2, 3], [4, 5, 6]])\n tf.ones_like(tensor) # [[1, 1, 1], [1, 1, 1]]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `tensor` | A `Tensor`. |\n| `dtype` | A type for the returned `Tensor`. Must be `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `complex64`, `complex128` or `bool`. |\n| `name` | A name for the operation (optional). |\n| `optimize` | if true, attempt to statically determine the shape of 'tensor' and encode it as a constant. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` with all elements set to 1. ||\n\n\u003cbr /\u003e"]]
View source on GitHub