W3cubDocs

/TensorFlow 1.15

tf.quantization.quantize_and_dequantize

View source on GitHub

Quantizes then dequantizes a tensor.

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.
input_max If range_given=True, the maximum input value that needs to be represented in the quantized representation.
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.
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.
Returns
A Tensor. Each element is the result of quantizing and dequantizing the corresponding element of input.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/quantization/quantize_and_dequantize