tf.ones
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Creates a tensor with all elements set to one (1).
tf.ones(
shape,
dtype=tf.dtypes.float32,
name=None,
layout=None
)
Used in the notebooks
| Used in the guide |
Used in the tutorials |
|
|
|
See also tf.ones_like, tf.zeros, tf.fill, tf.eye.
This operation returns a tensor of type dtype with shape shape and
all elements set to one.
tf.ones([3, 4], tf.int32)
<tf.Tensor: shape=(3, 4), dtype=int32, numpy=
array([[1, 1, 1, 1],
[1, 1, 1, 1],
[1, 1, 1, 1]], dtype=int32)>
Args |
|---|
shape
|
A list of integers, a tuple of integers, or a 1-D Tensor of
type int32.
|
dtype
|
Optional DType of an element in the resulting Tensor. Default is
tf.float32.
|
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 one (1).
|
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Last updated 2024-04-26 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.ones\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/array_ops.py#L2883-L2939) |\n\nCreates a tensor with all elements set to one (1).\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.ones`](https://www.tensorflow.org/api_docs/python/tf/ones)\n\n\u003cbr /\u003e\n\n tf.ones(\n shape,\n dtype=../tf/dtypes#float32,\n name=None,\n layout=None\n )\n\n### Used in the notebooks\n\n| Used in the guide | Used in the tutorials |\n|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [Validating correctness \\& numerical equivalence](https://www.tensorflow.org/guide/migrate/validate_correctness) - [Use TF1.x models in TF2 workflows](https://www.tensorflow.org/guide/migrate/model_mapping) - [Better performance with tf.function](https://www.tensorflow.org/guide/function) - [Extension types](https://www.tensorflow.org/guide/extension_type) - [Ragged tensors](https://www.tensorflow.org/guide/ragged_tensor) | - [Multilevel Modeling Primer in TensorFlow Probability](https://www.tensorflow.org/probability/examples/Multilevel_Modeling_Primer) - [Learnable Distributions Zoo](https://www.tensorflow.org/probability/examples/Learnable_Distributions_Zoo) - [Probabilistic PCA](https://www.tensorflow.org/probability/examples/Probabilistic_PCA) - [Policies](https://www.tensorflow.org/agents/tutorials/3_policies_tutorial) - [Bayesian Switchpoint Analysis](https://www.tensorflow.org/probability/examples/Bayesian_Switchpoint_Analysis) |\n\nSee also [`tf.ones_like`](../tf/ones_like), [`tf.zeros`](../tf/zeros), [`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 one. \n\n tf.ones([3, 4], tf.int32)\n \u003ctf.Tensor: shape=(3, 4), dtype=int32, numpy=\n array([[1, 1, 1, 1],\n [1, 1, 1, 1],\n [1, 1, 1, 1]], 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` | Optional DType of an element in the resulting `Tensor`. Default is [`tf.float32`](../tf#float32). |\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 one (1). ||\n\n\u003cbr /\u003e"]]
View source on GitHub