# tensorflow::ops::QuantizeAndDequantizeV2::Attrs Struct Reference # tensorflow::ops::QuantizeAndDequantizeV2::Attrs `#include ` Optional attribute setters for [QuantizeAndDequantizeV2](https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/quantize-and-dequantize-v2#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v2). ## Summary | ### Public attributes || |---|---| | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a315bdca31eedd36ca93926e243fa1936 = -1` | `int64` | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1adf347e0c1f8214c14d7694ae285cc9d0 = false` | `bool` | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a11159f89f2414130b6a3ad313b27716c = 8` | `int64` | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a865cf4c82b9089b872eb9b918531f2db = false` | `bool` | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a6dfc7a75f4a69171c6497bb1edfa0d05 = "HALF_TO_EVEN"` | `StringPiece` | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a790cd895eec69aba604ac8e9cb7f8a9f = true` | `bool` | | ### Public functions || |---|---| | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a763f00e13bdab9fb43c917bbc70cf634(int64 x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs` If specified, this axis is treated as a channel or slice axis, and a separate quantization range is used for each channel or slice along this axis. | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1afaceca0792d45c8137aeb043c8cfda94(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs` If True, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater. | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a76057cdbc84759b92af376d7af6e5542(int64 x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs` The bitwidth of the quantization. | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1a6fa06a82baf6f5d343626b0ff362f28b(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs` Whether the range is given or should be determined from the `input` tensor. | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1abbc6241855f1eb74e6c30f9bb38a9bea(StringPiece x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs` The 'round_mode' attribute controls which rounding tie-breaking algorithm is used when rounding float values to their quantized equivalents. | | `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs_1acc49af3428f348e5f27485c3d72e5598(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v2/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v2_1_1_attrs` Whether the quantization is signed or unsigned. | ## Public attributes ### axis_ ``` int64 tensorflow::ops::QuantizeAndDequantizeV2::Attrs::axis_ = -1 ``` ### narrow_range_ ``` bool tensorflow::ops::QuantizeAndDequantizeV2::Attrs::narrow_range_ = false ``` ### num_bits_ ``` int64 tensorflow::ops::QuantizeAndDequantizeV2::Attrs::num_bits_ = 8 ``` ### range_given_ ``` bool tensorflow::ops::QuantizeAndDequantizeV2::Attrs::range_given_ = false ``` ### round_mode_ ``` StringPiece tensorflow::ops::QuantizeAndDequantizeV2::Attrs::round_mode_ = "HALF_TO_EVEN" ``` ### signed_input_ ``` bool tensorflow::ops::QuantizeAndDequantizeV2::Attrs::signed_input_ = true ``` ## Public functions ### Axis ``` TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeAndDequantizeV2::Attrs::Axis( int64 x ) ``` If specified, this axis is treated as a channel or slice axis, and a separate quantization range is used for each channel or slice along this axis. Defaults to -1 ### NarrowRange ``` TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeAndDequantizeV2::Attrs::NarrowRange( bool x ) ``` If True, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater. i.e. for 8 bit quantization, the minimum value is -127 instead of -128. Defaults to false ### NumBits ``` TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeAndDequantizeV2::Attrs::NumBits( int64 x ) ``` The bitwidth of the quantization. Defaults to 8 ### RangeGiven ``` TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeAndDequantizeV2::Attrs::RangeGiven( bool x ) ``` Whether the range is given or should be determined from the `input` tensor. Defaults to false ### RoundMode ``` TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeAndDequantizeV2::Attrs::RoundMode( StringPiece x ) ``` The 'round_mode' attribute controls which rounding tie-breaking algorithm is used when rounding float values to their quantized equivalents. The following rounding modes are currently supported: - HALF_TO_EVEN: this is the default round_mode. - HALF_UP: round towards positive. In this mode 7.5 rounds up to 8 and -7.5 rounds up to -7.
Defaults to "HALF_TO_EVEN" ### SignedInput ``` TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizeAndDequantizeV2::Attrs::SignedInput( bool x ) ``` Whether the quantization is signed or unsigned. (actually this parameter should have been called **`signed_output`**) Defaults to true