tensorflow::ops::FakeQuantWithMinMaxVarsPerChannelGradient

#include <array_ops.h>

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

Summary

Arguments:

  • scope: A Scope object
  • gradients: Backpropagated gradients above the FakeQuantWithMinMaxVars operation, shape one of: [d], [b, d], [b, h, w, d].
  • inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation, shape same as gradients. min, max: Quantization interval, floats of shape [d].

Returns:

  • Output backprops_wrt_input: Backpropagated gradients w.r.t. inputs, shape same as inputs: gradients * (inputs >= min && inputs <= max).
  • Output backprop_wrt_min: Backpropagated gradients w.r.t. min parameter, shape [d]: sum_per_d(gradients * (inputs < min)).
  • Output backprop_wrt_max: Backpropagated gradients w.r.t. max parameter, shape [d]: sum_per_d(gradients * (inputs > max)).

Constructors and Destructors

FakeQuantWithMinMaxVarsPerChannelGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max)

Public attributes

backprop_wrt_max
backprop_wrt_min
backprops_wrt_input

Public attributes

backprop_wrt_max

::tensorflow::Output backprop_wrt_max

backprop_wrt_min

::tensorflow::Output backprop_wrt_min

backprops_wrt_input

::tensorflow::Output backprops_wrt_input

Public functions

FakeQuantWithMinMaxVarsPerChannelGradient

 FakeQuantWithMinMaxVarsPerChannelGradient(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input gradients,
  ::tensorflow::Input inputs,
  ::tensorflow::Input min,
  ::tensorflow::Input max
)