tensorflow::ops::Fill

#include <array_ops.h>

Creates a tensor filled with a scalar value.

Summary

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.

Arguments:

  • scope: A Scope object
  • dims: 1-D. Represents the shape of the output tensor.
  • value: 0-D (scalar). Value to fill the returned tensor.

(numpy) Equivalent to np.full

Returns:

Constructors and Destructors

Fill(const ::tensorflow::Scope & scope, ::tensorflow::Input dims, ::tensorflow::Input value)

Public attributes

output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

output

::tensorflow::Output output

Public functions

Fill

 Fill(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input dims,
  ::tensorflow::Input value
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const