tensorflow:: ops:: Dequantize:: Attrs
#include <array_ops.h>
Optional attribute setters for Dequantize.
Summary
Public attributes |
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axis_ = -1
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int64
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dtype_ = DT_FLOAT
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DataType
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mode_ = "MIN_COMBINED"
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StringPiece
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narrow_range_ = false
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bool
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Public functions |
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Axis(int64 x)
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TF_MUST_USE_RESULT Attrs
Defaults to -1.
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Dtype(DataType x)
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TF_MUST_USE_RESULT Attrs
Type of the output tensor.
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Mode(StringPiece x)
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TF_MUST_USE_RESULT Attrs
Defaults to "MIN_COMBINED".
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NarrowRange(bool x)
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TF_MUST_USE_RESULT Attrs
Defaults to false.
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Public attributes
axis_
int64 tensorflow::ops::Dequantize::Attrs::axis_ = -1
dtype_
DataType tensorflow::ops::Dequantize::Attrs::dtype_ = DT_FLOAT
mode_
StringPiece tensorflow::ops::Dequantize::Attrs::mode_ = "MIN_COMBINED"
narrow_range_
bool tensorflow::ops::Dequantize::Attrs::narrow_range_ = false
Public functions
Dtype
TF_MUST_USE_RESULT Attrs tensorflow::ops::Dequantize::Attrs::Dtype( DataType x )
Type of the output tensor.
Currently Dequantize supports float and bfloat16. If 'dtype' is 'bfloat16', it only supports 'MIN_COMBINED' mode.
Defaults to DT_FLOAT
Mode
TF_MUST_USE_RESULT Attrs tensorflow::ops::Dequantize::Attrs::Mode( StringPiece x )
Defaults to "MIN_COMBINED".
NarrowRange
TF_MUST_USE_RESULT Attrs tensorflow::ops::Dequantize::Attrs::NarrowRange( bool x )
Defaults to false.