tf.zeros
Stay organized with collections
Save and categorize content based on your preferences.
Creates a tensor with all elements set to zero.
tf.zeros(
shape,
dtype=tf.dtypes.float32,
name=None,
layout=None
)
See also tf.zeros_like, tf.ones, tf.fill, tf.eye.
This operation returns a tensor of type dtype with shape shape and
all elements set to zero.
tf.zeros([3, 4], tf.int32)
<tf.Tensor: shape=(3, 4), dtype=int32, numpy=
array([[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]], dtype=int32)>
Args |
|---|
shape
|
A list of integers, a tuple of integers, or a 1-D Tensor of
type int32.
|
dtype
|
The DType of an element in the resulting Tensor.
|
name
|
Optional string. A name for the operation.
|
layout
|
Optional, tf.experimental.dtensor.Layout. If provided, the result
is a DTensor with the
provided layout.
|
Returns |
|---|
A Tensor with all elements set to zero.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.zeros\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#L2854-L2913) |\n\nCreates a tensor with all elements set to zero.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.zeros`](https://www.tensorflow.org/api_docs/python/tf/zeros)\n\n\u003cbr /\u003e\n\n tf.zeros(\n shape,\n dtype=../tf/dtypes#float32,\n name=None,\n layout=None\n )\n\nSee also [`tf.zeros_like`](../tf/zeros_like), [`tf.ones`](../tf/ones), [`tf.fill`](../tf/fill), [`tf.eye`](../tf/eye).\n\nThis operation returns a tensor of type `dtype` with shape `shape` and\nall elements set to zero. \n\n tf.zeros([3, 4], tf.int32)\n \u003ctf.Tensor: shape=(3, 4), dtype=int32, numpy=\n array([[0, 0, 0, 0],\n [0, 0, 0, 0],\n [0, 0, 0, 0]], dtype=int32)\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `shape` | A `list` of integers, a `tuple` of integers, or a 1-D `Tensor` of type `int32`. |\n| `dtype` | The DType of an element in the resulting `Tensor`. |\n| `name` | Optional string. A name for the operation. |\n| `layout` | Optional, [`tf.experimental.dtensor.Layout`](../tf/experimental/dtensor/Layout). If provided, the result is a [DTensor](https://www.tensorflow.org/guide/dtensor_overview) with the provided layout. |\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 zero. ||\n\n\u003cbr /\u003e"]]
View source on GitHub