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, whereastf.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 totf.constant
which embeds the entire Tensor into the graph with aConst
node.- Because
tf.fill
evaluates at graph runtime, it supports dynamic shapes based on other runtime Tensors, unliketf.constant
.
Args:
- 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:
Output
: The output tensor.
Constructors and Destructors |
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Fill(const ::tensorflow::Scope & scope, ::tensorflow::Input dims, ::tensorflow::Input value)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public attributes
operation
Operation operation
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