org.bytedeco.javacpp

Class tensorflow.Requantize

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Requantize

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.Requantize
extends Pointer

Convert the quantized 'input' tensor into a lower-precision 'output', using the output range specified with 'requested_output_min' and 'requested_output_max'. [input_min, input_max] are scalar floats that specify the range for the float interpretation of the 'input' data. For example, if input_min is -1.0f and input_max is 1.0f, and we are dealing with quint16 quantized data, then a 0 value in the 16-bit data should be interpreted as -1.0f, and a 65535 means 1.0f. Arguments: * scope: A Scope object * input_min: The float value that the minimum quantized input value represents. * input_max: The float value that the maximum quantized input value represents. * requested_output_min: The float value that the minimum quantized output value represents. * requested_output_max: The float value that the maximum quantized output value represents. * out_type: The type of the output. Should be a lower bit depth than Tinput. Returns: * Output output * Output output_min: The requested_output_min value is copied into this output. * Output output_max: The requested_output_max value is copied into this output.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
Requantize(Pointer p) Pointer cast constructor.
Requantize(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input input_min, tensorflow.Input input_max, tensorflow.Input requested_output_min, tensorflow.Input requested_output_max, int out_type)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	operation()
tensorflow.Requantize	operation(tensorflow.Operation operation)
tensorflow.Output	output_max()
tensorflow.Requantize	output_max(tensorflow.Output output_max)
tensorflow.Output	output_min()
tensorflow.Requantize	output_min(tensorflow.Output output_min)
tensorflow.Output	output()
tensorflow.Requantize	output(tensorflow.Output output)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Requantize

public Requantize(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Requantize

public Requantize(@Const @ByRef
                  tensorflow.Scope scope,
                  @ByVal
                  tensorflow.Input input,
                  @ByVal
                  tensorflow.Input input_min,
                  @ByVal
                  tensorflow.Input input_max,
                  @ByVal
                  tensorflow.Input requested_output_min,
                  @ByVal
                  tensorflow.Input requested_output_max,
                  @Cast(value="tensorflow::DataType")
                  int out_type)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.Requantize operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.Requantize output(tensorflow.Output output)

output_min

@ByRef
public tensorflow.Output output_min()

output_min

public tensorflow.Requantize output_min(tensorflow.Output output_min)

output_max

@ByRef
public tensorflow.Output output_max()

output_max

public tensorflow.Requantize output_max(tensorflow.Output output_max)