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tf.raw_ops.RequantizePerChannel

Requantizes input with min and max values known per channel.

tf.raw_ops.RequantizePerChannel(
    input,
    input_min,
    input_max,
    requested_output_min,
    requested_output_max,
    out_type=tf.dtypes.quint8,
    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.
requested_output_min A Tensor of type float32. The minimum value of the output tensor requested.
requested_output_max A Tensor of type float32. The maximum value of the output tensor requested.
out_type An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.quint8. The quantized type of output tensor that needs to be converted.
name A name for the operation (optional).
Returns
A tuple of Tensor objects (output, output_min, output_max).
output A Tensor of type out_type.
output_min A Tensor of type float32.
output_max A Tensor of type float32.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/RequantizePerChannel