tf.quantization.quantize_and_dequantize
Quantizes then dequantizes a tensor. (deprecated)
tf.quantization.quantize_and_dequantize(
input,
input_min,
input_max,
signed_input=True,
num_bits=8,
range_given=False,
round_mode='HALF_TO_EVEN',
name=None,
narrow_range=False,
axis=None
)
| Args | |
|---|---|
input | A Tensor to quantize and dequantize. |
input_min | If range_given=True, the minimum input value, that needs to be represented in the quantized representation. If axis is specified, this should be a vector of minimum values for each slice along axis. |
input_max | If range_given=True, the maximum input value that needs to be represented in the quantized representation. If axis is specified, this should be a vector of maximum values for each slice along axis. |
signed_input | True if the quantization is signed or unsigned. |
num_bits | The bitwidth of the quantization. |
range_given | If true use input_min and input_max for the range of the input, otherwise determine min and max from the input Tensor. |
round_mode | Rounding mode when rounding from float values to quantized ones. one of ['HALF_TO_EVEN', 'HALF_UP'] |
name | Optional name for the operation. |
narrow_range | 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. |
axis | Integer. If specified, refers to a dimension of the input tensor, such that quantization will be per slice along that dimension. |
| Returns | |
|---|---|
A Tensor. Each element is the result of quantizing and dequantizing the corresponding element of input. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/quantization/quantize_and_dequantize
