tf.raw_ops.Fill | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.Fill
Stay organized with collections Save and categorize content based on your preferences.
Creates a tensor filled with a scalar value.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.raw_ops.Fill(
dims, value, name=None
)
This operation creates a tensor of shape dims
and fills it with value
.
For example:
# Output tensor has shape [2, 3].
fill([2, 3], 9) ==> [[9, 9, 9]
[9, 9, 9]]
tf.fill differs from tf.constant in a few ways:
- tf.fill only supports scalar contents, whereas tf.constant supports Tensor values.
- tf.fill creates an Op in the computation graph that constructs the actual Tensor value at runtime. This is in contrast to tf.constant which embeds the entire Tensor into the graph with a
Const
node. - Because tf.fill evaluates at graph runtime, it supports dynamic shapes based on other runtime Tensors, unlike tf.constant.
Args | |
---|---|
dims | A Tensor. Must be one of the following types: int32, int64. 1-D. Represents the shape of the output tensor. |
value | A Tensor. 0-D (scalar). Value to fill the returned tensor. |
name | A name for the operation (optional). |
Returns |
---|
A Tensor. Has the same type as value. |
numpy compatibility
Equivalent to np.full
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 2024-04-26 UTC.