RequantizePerChannel

public final class RequantizePerChannel

Requantizes input with min and max values known per channel.

String OP_NAME The name of this op, as known by TensorFlow core engine

static <U extends TType> RequantizePerChannel<U>	create(Scope scope, Operand<? extends TType> input, Operand<TFloat32> inputMin, Operand<TFloat32> inputMax, Operand<TFloat32> requestedOutputMin, Operand<TFloat32> requestedOutputMax, Class<U> outType) Factory method to create a class wrapping a new RequantizePerChannel operation.
Output<U>	output() Output tensor.
Output<TFloat32>	outputMax() The maximum value of the final output tensor.
Output<TFloat32>	outputMin() The minimum value of the final output tensor

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

The name of this op, as known by TensorFlow core engine

Constant Value: "RequantizePerChannel"

Factory method to create a class wrapping a new RequantizePerChannel operation.

scope	current scope
input	The original input tensor.
inputMin	The minimum value of the input tensor
inputMax	The maximum value of the input tensor.
requestedOutputMin	The minimum value of the output tensor requested.
requestedOutputMax	The maximum value of the output tensor requested.
outType	The quantized type of output tensor that needs to be converted.

Output tensor.

The maximum value of the final output tensor.

The minimum value of the final output tensor