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meridian.backend.zeros
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Creates a tensor with all elements set to zero.
meridian
.
backend
.
zeros
(
shape
,
dtype
=
meridian
.
backend
.
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
)
>
A list
of integers, a tuple
of integers, or a 1-D Tensor
of
type int32
.
The DType of an element in the resulting Tensor
.
Optional string. A name for the operation.
Optional, tf.experimental.dtensor.Layout
. If provided, the result
is a DTensor
with the
provided layout.
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.
Last updated 2025-08-07 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[],[],null,["# meridian.backend.zeros\n\n\u003cbr /\u003e\n\nCreates a tensor with all elements set to zero. \n\n meridian.backend.zeros(\n shape,\n dtype=../../meridian/backend.md#float32,\n name=None,\n layout=None\n )\n\nSee also `tf.zeros_like`, `tf.ones`, `tf.fill`, `tf.eye`.\n\nThis operation returns a tensor of type `dtype` with shape `shape` and\nall elements set to zero. \n\n \u003e\u003e\u003e 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`. 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"]]
