tf.raw_ops.RequantizationRangePerChannel

Computes requantization range per channel.

Compat aliases for migration

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`.

Args