tf.raw_ops.RequantizationRangePerChannel

Computes requantization range per channel.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.RequantizationRangePerChannel

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.