tf.raw_ops.RequantizePerChannel

Requantizes input with min and max values known per channel.

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Compat aliases for migration

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tf.compat.v1.raw_ops.RequantizePerChannel

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.