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tf.raw_ops.QuantizeAndDequantizeV3

Quantizes then dequantizes a tensor.

tf.raw_ops.QuantizeAndDequantizeV3(
    input,
    input_min,
    input_max,
    num_bits,
    signed_input=True,
    range_given=True,
    narrow_range=False,
    axis=-1,
    name=None
)

This is almost identical to QuantizeAndDequantizeV2, except that num_bits is a tensor, so its value can change during training.

Args
input A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
input_min A Tensor. Must have the same type as input.
input_max A Tensor. Must have the same type as input.
num_bits A Tensor of type int32.
signed_input An optional bool. Defaults to True.
range_given An optional bool. Defaults to True.
narrow_range An optional bool. Defaults to False.
axis An optional int. Defaults to -1.
name A name for the operation (optional).
Returns
A Tensor. Has the same type as 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/versions/r2.9/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV3