org.bytedeco.javacpp

Class tensorflow.Svd

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Svd

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Computes the singular value decompositions of one or more matrices. Computes the SVD of each inner matrix in input such that input[..., :, :] = u[..., :, :] * diag(s[..., :, :]) * transpose(v[..., :, :])

 python
  # a is a tensor containing a batch of matrices.
  # s is a tensor of singular values for each matrix.
  # u is the tensor containing of left singular vectors for each matrix.
  # v is the tensor containing of right singular vectors for each matrix.
  s, u, v = svd(a)
  s, _, _ = svd(a, compute_uv=False)
  

Arguments: * scope: A Scope object * input: A tensor of shape [..., M, N] whose inner-most 2 dimensions form matrices of size [M, N]. Let P be the minimum of M and N. Optional attributes (see Attrs): * compute_uv: If true, left and right singular vectors will be computed and returned in u and v, respectively. If false, u and v are not set and should never referenced. * full_matrices: If true, compute full-sized u and v. If false (the default), compute only the leading P singular vectors. Ignored if compute_uv is False. Returns: * Output s: Singular values. Shape is [..., P]. * Output u: Left singular vectors. If full_matrices is False then shape is [..., M, P]; if full_matrices is True then shape is [..., M, M]. Undefined if compute_uv is False. * Output v: Left singular vectors. If full_matrices is False then shape is [..., N, P]. If full_matrices is True then shape is [..., N, N]. Undefined if compute_uv is false.

Nested Class Summary

Nested Classes

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

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
Svd(Pointer p) Pointer cast constructor.
Svd(tensorflow.Scope scope, tensorflow.Input input)
Svd(tensorflow.Scope scope, tensorflow.Input input, tensorflow.Svd.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.Svd.Attrs	ComputeUv(boolean x)
static tensorflow.Svd.Attrs	FullMatrices(boolean x)
tensorflow.Operation	operation()
tensorflow.Svd	operation(tensorflow.Operation operation)
tensorflow.Output	s()
tensorflow.Svd	s(tensorflow.Output s)
tensorflow.Output	u()
tensorflow.Svd	u(tensorflow.Output u)
tensorflow.Output	v()
tensorflow.Svd	v(tensorflow.Output v)

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

Svd

public Svd(Pointer p)

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

Svd

public Svd(@Const @ByRef
           tensorflow.Scope scope,
           @ByVal
           tensorflow.Input input)

Svd

public Svd(@Const @ByRef
           tensorflow.Scope scope,
           @ByVal
           tensorflow.Input input,
           @Const @ByRef
           tensorflow.Svd.Attrs attrs)

Method Detail

ComputeUv

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

FullMatrices

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.Svd operation(tensorflow.Operation operation)

s

@ByRef
public tensorflow.Output s()

s

public tensorflow.Svd s(tensorflow.Output s)

u

@ByRef
public tensorflow.Output u()

u

public tensorflow.Svd u(tensorflow.Output u)

v

@ByRef
public tensorflow.Output v()

v

public tensorflow.Svd v(tensorflow.Output v)