tensorflow:: ops:: RandomUniform
#include <random_ops.h>
Outputs random values from a uniform distribution.
Summary
The generated values follow a uniform distribution in the range [0, 1)
. The lower bound 0 is included in the range, while the upper bound 1 is excluded.
Arguments:
- scope: A Scope object
- shape: The shape of the output tensor.
- dtype: The type of the output.
Optional attributes (see Attrs
):
- seed: If either
seed
orseed2
are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. - seed2: A second seed to avoid seed collision.
Returns:
Output
: A tensor of the specified shape filled with uniform random values.
Constructors and Destructors |
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RandomUniform(const ::tensorflow::Scope & scope, ::tensorflow::Input shape, DataType dtype)
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RandomUniform(const ::tensorflow::Scope & scope, ::tensorflow::Input shape, DataType dtype, const RandomUniform::Attrs & attrs)
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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 static functions |
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Seed(int64 x)
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Seed2(int64 x)
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Structs |
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tensorflow:: |
Optional attribute setters for RandomUniform. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
RandomUniform
RandomUniform( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, DataType dtype )
RandomUniform
RandomUniform( const ::tensorflow::Scope & scope, ::tensorflow::Input shape, DataType dtype, const RandomUniform::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Seed
Attrs Seed( int64 x )
Seed2
Attrs Seed2( int64 x )