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].

Optional attributes (see Attrs):

• num_bits: The bitwidth of the quantization; between 2 and 8, inclusive.
• narrow_range: Whether to quantize into 2^num_bits - 1 distinct values.

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)).

Public attributes

::tensorflow::Output backprop_wrt_max

::tensorflow::Output backprop_wrt_min

::tensorflow::Output backprops_wrt_input

Public functions

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

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

Public static functions

Attrs NarrowRange(
  bool x
)

Attrs NumBits(
  int64 x
)