tf.raw_ops.QuantizeAndDequantizeV3
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Quantizes then dequantizes a tensor.
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tf.compat.v1.raw_ops.QuantizeAndDequantizeV3
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
.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2024-01-23 UTC.
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