tensorflow::ops::QuantizedConcat

#include <array_ops.h>

Concatenates quantized tensors along one dimension.

Summary

Arguments:

  • scope: A Scope object
  • concat_dim: 0-D. The dimension along which to concatenate. Must be in the range [0, rank(values)).
  • values: The N Tensors to concatenate. Their ranks and types must match, and their sizes must match in all dimensions except concat_dim.
  • input_mins: The minimum scalar values for each of the input tensors.
  • input_maxes: The maximum scalar values for each of the input tensors.

Returns:

  • Output output: A Tensor with the concatenation of values stacked along the concat_dim dimension. This tensor's shape matches that of values except in concat_dim where it has the sum of the sizes.
  • Output output_min: The float value that the minimum quantized output value represents.
  • Output output_max: The float value that the maximum quantized output value represents.

Constructors and Destructors

QuantizedConcat(const ::tensorflow::Scope & scope, ::tensorflow::Input concat_dim, ::tensorflow::InputList values, ::tensorflow::InputList input_mins, ::tensorflow::InputList input_maxes)

Public attributes

output
output_max
output_min

Public attributes

output

::tensorflow::Output output

output_max

::tensorflow::Output output_max

output_min

::tensorflow::Output output_min

Public functions

QuantizedConcat

 QuantizedConcat(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input concat_dim,
  ::tensorflow::InputList values,
  ::tensorflow::InputList input_mins,
  ::tensorflow::InputList input_maxes
)