tensorflow::ops::FakeQuantWithMinMaxVars
#include <array_ops.h>
Fake-quantize the 'inputs' tensor of type float via global float scalars min
Summary
and max to 'outputs' tensor of same shape as inputs.
[min; max] define the clamping range for the inputs data. inputs values are quantized into the quantization range ([0; 2^num_bits - 1] when narrow_range is false and [1; 2^num_bits - 1] when it is true) and then de-quantized and output as floats in [min; max] interval. num_bits is the bitwidth of the quantization; between 2 and 16, inclusive.
Before quantization, min and max values are adjusted with the following logic. It is suggested to have min <= 0 <= max. If 0 is not in the range of values, the behavior can be unexpected: If 0 < min < max: min_adj = 0 and max_adj = max - min. If min < max < 0: min_adj = min - max and max_adj = 0. If min <= 0 <= max: scale = (max - min) / (2^num_bits - 1), min_adj = scale * round(min / scale) and max_adj = max + min_adj - min.
This operation has a gradient and thus allows for training min and max values.
Arguments:
- scope: A Scope object
Returns:
Output: The outputs tensor.
Constructors and Destructors |
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FakeQuantWithMinMaxVars(const ::tensorflow::Scope & scope, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max)
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FakeQuantWithMinMaxVars(const ::tensorflow::Scope & scope, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max, const FakeQuantWithMinMaxVars::Attrs & attrs)
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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NarrowRange(bool x)
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NumBits(int64 x)
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Structs |
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tensorflow:: |
Optional attribute setters for FakeQuantWithMinMaxVars. |
Public attributes
operation
Operation operation
outputs
::tensorflow::Output outputs
Public functions
FakeQuantWithMinMaxVars
FakeQuantWithMinMaxVars( const ::tensorflow::Scope & scope, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max )
FakeQuantWithMinMaxVars
FakeQuantWithMinMaxVars( const ::tensorflow::Scope & scope, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max, const FakeQuantWithMinMaxVars::Attrs & attrs )