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 .
|