tf.raw_ops.RequantizationRangePerChannel
Computes requantization range per channel.
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_min |
A Tensor of type float32. The minimum value of the input tensor |
input_max |
A Tensor of type float32. The maximum value of the input tensor. |
clip_value_max |
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_min |
A Tensor of type float32. |
output_max |
A Tensor of type float32. |
© 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/RequantizationRangePerChannel