tensorflow:: ops:: FakeQuantWithMinMaxVars
#include <array_ops.h>
Fake-quantize the 'inputs' tensor of type float via global float scalars.
Summary
Fake-quantize the inputs
tensor of type float via global float scalars min
and max
to outputs
tensor of same shape as inputs
.
Attributes
[min; max]
define the clamping range for theinputs
data.inputs
values are quantized into the quantization range ([0; 2^num_bits - 1]
whennarrow_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
andmax_adj = max - min
. - If
min < max < 0
:min_adj = min - max
andmax_adj = 0
. - If
min <= 0 <= max
:scale = (max - min) / (2^num_bits - 1)
,min_adj = scale * round(min / scale)
andmax_adj = max + min_adj - min
.
This operation has a gradient and thus allows for training min
and max
values.
Args:
- 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 attributes |
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operation
|
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outputs
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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 )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
NarrowRange
Attrs NarrowRange( bool x )
NumBits
Attrs NumBits( int64 x )