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tf.raw_ops.RequantizationRangePerChannel

Computes requantization range per channel.

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.

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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