tf.raw_ops.RequantizePerChannel
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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.
|
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Last updated 2024-04-26 UTC.
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