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tensorflow:: ops:: SparseBincount

#include <math_ops.h>

Counts the number of occurrences of each value in an integer array.

Summary

Outputs a vector with length size and the same dtype as weights . If weights are empty, then index i stores the number of times the value i is counted in arr . If weights are non-empty, then index i stores the sum of the value in weights at each index where the corresponding value in arr is i .

Values in arr outside of the range [0, size) are ignored.

Args:

  • scope: A Scope object
  • indices: 2D int64 Tensor .
  • values: 1D int Tensor .
  • dense_shape: 1D int64 Tensor .
  • size: non-negative int scalar Tensor .
  • weights: is an int32, int64, float32, or float64 Tensor with the same shape as input , or a length-0 Tensor , in which case it acts as all weights equal to 1.

Optional attributes (see Attrs ):

  • binary_output: bool; Whether the kernel should count the appearance or number of occurrences.

Returns:

  • Output : 1D Tensor with length equal to size or 2D Tensor with [batch_size, size ]. The counts or summed weights for each value in the range [0, size).

Constructors and Destructors

SparseBincount (const :: tensorflow::Scope & scope, :: tensorflow::Input indices, :: tensorflow::Input values, :: tensorflow::Input dense_shape, :: tensorflow::Input size, :: tensorflow::Input weights)
SparseBincount (const :: tensorflow::Scope & scope, :: tensorflow::Input indices, :: tensorflow::Input values, :: tensorflow::Input dense_shape, :: tensorflow::Input size, :: tensorflow::Input weights, const SparseBincount::Attrs & attrs)

Public attributes

operation
output

Public functions

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

Public static functions

BinaryOutput (bool x)

Structs

tensorflow:: ops:: SparseBincount:: Attrs

Optional attribute setters for SparseBincount .

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

SparseBincount

 SparseBincount(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input indices,
  ::tensorflow::Input values,
  ::tensorflow::Input dense_shape,
  ::tensorflow::Input size,
  ::tensorflow::Input weights
)

SparseBincount

 SparseBincount(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input indices,
  ::tensorflow::Input values,
  ::tensorflow::Input dense_shape,
  ::tensorflow::Input size,
  ::tensorflow::Input weights,
  const SparseBincount::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

BinaryOutput

Attrs BinaryOutput(
  bool x
)