org.bytedeco.javacpp

Class tensorflow.QuantizedBiasAdd

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.QuantizedBiasAdd

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Adds Tensor 'bias' to Tensor 'input' for Quantized types. Broadcasts the values of bias on dimensions 0..N-2 of 'input'. Arguments: * scope: A Scope object * bias: A 1D bias Tensor with size matching the last dimension of 'input'. * min_input: The float value that the lowest quantized input value represents. * max_input: The float value that the highest quantized input value represents. * min_bias: The float value that the lowest quantized bias value represents. * max_bias: The float value that the highest quantized bias value represents. Returns: * Output output * Output min_out: The float value that the lowest quantized output value represents. * Output max_out: The float value that the highest quantized output value represents.

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
QuantizedBiasAdd(Pointer p) Pointer cast constructor.
QuantizedBiasAdd(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Input bias, tensorflow.Input min_input, tensorflow.Input max_input, tensorflow.Input min_bias, tensorflow.Input max_bias, int out_type)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	max_out()
tensorflow.QuantizedBiasAdd	max_out(tensorflow.Output max_out)
tensorflow.Output	min_out()
tensorflow.QuantizedBiasAdd	min_out(tensorflow.Output min_out)
tensorflow.Operation	operation()
tensorflow.QuantizedBiasAdd	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.QuantizedBiasAdd	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

QuantizedBiasAdd

public QuantizedBiasAdd(Pointer p)

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

QuantizedBiasAdd

public QuantizedBiasAdd(@Const @ByRef
                        tensorflow.Scope scope,
                        @ByVal
                        tensorflow.Input input,
                        @ByVal
                        tensorflow.Input bias,
                        @ByVal
                        tensorflow.Input min_input,
                        @ByVal
                        tensorflow.Input max_input,
                        @ByVal
                        tensorflow.Input min_bias,
                        @ByVal
                        tensorflow.Input max_bias,
                        @Cast(value="tensorflow::DataType")
                        int out_type)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.QuantizedBiasAdd operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.QuantizedBiasAdd output(tensorflow.Output output)

min_out

@ByRef
public tensorflow.Output min_out()

min_out

public tensorflow.QuantizedBiasAdd min_out(tensorflow.Output min_out)

max_out

@ByRef
public tensorflow.Output max_out()

max_out

public tensorflow.QuantizedBiasAdd max_out(tensorflow.Output max_out)