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tensorflow::ops::FakeQuantWithMinMaxVarsGradient

#include <array_ops.h>

Compute gradients for a FakeQuantWithMinMaxVars operation.

Summary

Arguments:

Returns:

  • Output backprops_wrt_input: Backpropagated gradients w.r.t. inputs: gradients * (inputs >= min && inputs <= max).
  • Output backprop_wrt_min: Backpropagated gradients w.r.t. min parameter: sum(gradients * (inputs < min)).
  • Output backprop_wrt_max: Backpropagated gradients w.r.t. max parameter: sum(gradients * (inputs > max)).
Constructors and Destructors
FakeQuantWithMinMaxVarsGradient(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

FakeQuantWithMinMaxVarsGradient

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

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-vars-gradient.html