tensorflow::ops::SparseBincount

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.

Arguments:

• 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).

Public attributes

Operation operation

::tensorflow::Output output

 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
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Attrs BinaryOutput(
  bool x
)