org.bytedeco.javacpp

Class tensorflow.QuantizedMatMul

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.QuantizedMatMul

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Perform a quantized matrix multiplication of a by the matrix b. The inputs must be two-dimensional matrices and the inner dimension of a (after being transposed if transpose_a is non-zero) must match the outer dimension of b (after being transposed if transposed_b is non-zero). Arguments: * scope: A Scope object * a: Must be a two-dimensional tensor. * b: Must be a two-dimensional tensor. * min_a: The float value that the lowest quantized a value represents. * max_a: The float value that the highest quantized a value represents. * min_b: The float value that the lowest quantized b value represents. * max_b: The float value that the highest quantized b value represents. Optional attributes (see Attrs): * transpose_a: If true, a is transposed before multiplication. * transpose_b: If true, b is transposed before multiplication. * Tactivation: The type of output produced by activation function following this operation. Returns: * Output out * 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

Modifier and Type	Class and Description
static class	tensorflow.QuantizedMatMul.Attrs Optional attribute setters for QuantizedMatMul

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
QuantizedMatMul(Pointer p) Pointer cast constructor.
QuantizedMatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b, tensorflow.Input min_a, tensorflow.Input max_a, tensorflow.Input min_b, tensorflow.Input max_b)
QuantizedMatMul(tensorflow.Scope scope, tensorflow.Input a, tensorflow.Input b, tensorflow.Input min_a, tensorflow.Input max_a, tensorflow.Input min_b, tensorflow.Input max_b, tensorflow.QuantizedMatMul.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	max_out()
tensorflow.QuantizedMatMul	max_out(tensorflow.Output max_out)
tensorflow.Output	min_out()
tensorflow.QuantizedMatMul	min_out(tensorflow.Output min_out)
tensorflow.Operation	operation()
tensorflow.QuantizedMatMul	operation(tensorflow.Operation operation)
tensorflow.Output	out()
tensorflow.QuantizedMatMul	out(tensorflow.Output out)
static tensorflow.QuantizedMatMul.Attrs	Tactivation(int x)
static tensorflow.QuantizedMatMul.Attrs	Toutput(int x)
static tensorflow.QuantizedMatMul.Attrs	TransposeA(boolean x)
static tensorflow.QuantizedMatMul.Attrs	TransposeB(boolean x)

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

QuantizedMatMul

public QuantizedMatMul(Pointer p)

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

QuantizedMatMul

public QuantizedMatMul(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input a,
                       @ByVal
                       tensorflow.Input b,
                       @ByVal
                       tensorflow.Input min_a,
                       @ByVal
                       tensorflow.Input max_a,
                       @ByVal
                       tensorflow.Input min_b,
                       @ByVal
                       tensorflow.Input max_b)

QuantizedMatMul

public QuantizedMatMul(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input a,
                       @ByVal
                       tensorflow.Input b,
                       @ByVal
                       tensorflow.Input min_a,
                       @ByVal
                       tensorflow.Input max_a,
                       @ByVal
                       tensorflow.Input min_b,
                       @ByVal
                       tensorflow.Input max_b,
                       @Const @ByRef
                       tensorflow.QuantizedMatMul.Attrs attrs)

Method Detail

Toutput

@ByVal
public static tensorflow.QuantizedMatMul.Attrs Toutput(@Cast(value="tensorflow::DataType")
                                                               int x)

TransposeA

@ByVal
public static tensorflow.QuantizedMatMul.Attrs TransposeA(@Cast(value="bool")
                                                                  boolean x)

TransposeB

@ByVal
public static tensorflow.QuantizedMatMul.Attrs TransposeB(@Cast(value="bool")
                                                                  boolean x)

Tactivation

@ByVal
public static tensorflow.QuantizedMatMul.Attrs Tactivation(@Cast(value="tensorflow::DataType")
                                                                   int x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.QuantizedMatMul operation(tensorflow.Operation operation)

out

@ByRef
public tensorflow.Output out()

out

public tensorflow.QuantizedMatMul out(tensorflow.Output out)

min_out

@ByRef
public tensorflow.Output min_out()

min_out

public tensorflow.QuantizedMatMul min_out(tensorflow.Output min_out)

max_out

@ByRef
public tensorflow.Output max_out()

max_out

public tensorflow.QuantizedMatMul max_out(tensorflow.Output max_out)