tensorflow::ops::FakeQuantWithMinMaxVarsPerChannelGradient

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.

Summary

Args:

• 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 16, 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

Operation operation

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 )