tf.raw_ops.QuantizeAndDequantizeV3
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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.
|
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Last updated 2024-04-26 UTC.
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