Computes requantization range per channel.
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Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.RequantizationRangePerChannel(
input, input_min, input_max, clip_value_max, name=None
)
Args | |
---|---|
input
|
A Tensor . Must be one of the following types: qint8 , quint8 , qint32 , qint16 , quint16 .
The original input tensor.
|
input_
|
A Tensor of type float32 .
The minimum value of the input tensor
|
input_
|
A Tensor of type float32 .
The maximum value of the input tensor.
|
clip_
|
A float .
The maximum value of the output that needs to be clipped.
Example: set this to 6 for Relu6.
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A tuple of Tensor objects (output_min, output_max).
|
|
output_
|
A Tensor of type float32 .
|
output_
|
A Tensor of type float32 .
|