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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/RequantizePerChannel