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. |
© 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/r2.3/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV3