org.bytedeco.javacpp

Class tensorflow.TakeManySparseFromTensorsMap

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.TakeManySparseFromTensorsMap

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Read SparseTensors from a SparseTensorsMap and concatenate them. The input sparse_handles must be an int64 matrix of shape [N, 1] where N is the minibatch size and the rows correspond to the output handles of AddSparseToTensorsMap or AddManySparseToTensorsMap. The ranks of the original SparseTensor objects that went into the given input ops must all match. When the final SparseTensor is created, it has rank one higher than the ranks of the incoming SparseTensor objects (they have been concatenated along a new row dimension on the left). The output SparseTensor object's shape values for all dimensions but the first are the max across the input SparseTensor objects' shape values for the corresponding dimensions. Its first shape value is N, the minibatch size. The input SparseTensor objects' indices are assumed ordered in standard lexicographic order. If this is not the case, after this step run SparseReorder to restore index ordering. For example, if the handles represent an input, which is a [2, 3] matrix representing two original SparseTensor objects:

      index = [ 0]
              [10]
              [20]
      values = [1, 2, 3]
      shape = [50]
  

and

      index = [ 2]
              [10]
      values = [4, 5]
      shape = [30]
  

then the final SparseTensor will be:

      index = [0  0]
              [0 10]
              [0 20]
              [1  2]
              [1 10]
      values = [1, 2, 3, 4, 5]
      shape = [2 50]
  

Arguments: * scope: A Scope object * sparse_handles: 1-D, The N serialized SparseTensor objects. Shape: [N]. * dtype: The dtype of the SparseTensor objects stored in the SparseTensorsMap. Optional attributes (see Attrs): * container: The container name for the SparseTensorsMap read by this op. * shared_name: The shared name for the SparseTensorsMap read by this op. It should not be blank; rather the shared_name or unique Operation name of the Op that created the original SparseTensorsMap should be used. Returns: * Output sparse_indices: 2-D. The indices of the minibatch SparseTensor. * Output sparse_values: 1-D. The values of the minibatch SparseTensor. * Output sparse_shape: 1-D. The shape of the minibatch SparseTensor.

Nested Class Summary

Nested Classes

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

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
TakeManySparseFromTensorsMap(Pointer p) Pointer cast constructor.
TakeManySparseFromTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_handles, int dtype)
TakeManySparseFromTensorsMap(tensorflow.Scope scope, tensorflow.Input sparse_handles, int dtype, tensorflow.TakeManySparseFromTensorsMap.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.TakeManySparseFromTensorsMap.Attrs	Container(BytePointer x)
static tensorflow.TakeManySparseFromTensorsMap.Attrs	Container(String x)
tensorflow.Operation	operation()
tensorflow.TakeManySparseFromTensorsMap	operation(tensorflow.Operation operation)
static tensorflow.TakeManySparseFromTensorsMap.Attrs	SharedName(BytePointer x)
static tensorflow.TakeManySparseFromTensorsMap.Attrs	SharedName(String x)
tensorflow.Output	sparse_indices()
tensorflow.TakeManySparseFromTensorsMap	sparse_indices(tensorflow.Output sparse_indices)
tensorflow.Output	sparse_shape()
tensorflow.TakeManySparseFromTensorsMap	sparse_shape(tensorflow.Output sparse_shape)
tensorflow.Output	sparse_values()
tensorflow.TakeManySparseFromTensorsMap	sparse_values(tensorflow.Output sparse_values)

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

TakeManySparseFromTensorsMap

public TakeManySparseFromTensorsMap(Pointer p)

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

TakeManySparseFromTensorsMap

public TakeManySparseFromTensorsMap(@Const @ByRef
                                    tensorflow.Scope scope,
                                    @ByVal
                                    tensorflow.Input sparse_handles,
                                    @Cast(value="tensorflow::DataType")
                                    int dtype)

TakeManySparseFromTensorsMap

public TakeManySparseFromTensorsMap(@Const @ByRef
                                    tensorflow.Scope scope,
                                    @ByVal
                                    tensorflow.Input sparse_handles,
                                    @Cast(value="tensorflow::DataType")
                                    int dtype,
                                    @Const @ByRef
                                    tensorflow.TakeManySparseFromTensorsMap.Attrs attrs)

Method Detail

Container

@ByVal
public static tensorflow.TakeManySparseFromTensorsMap.Attrs Container(@tensorflow.StringPiece
                                                                              BytePointer x)

Container

@ByVal
public static tensorflow.TakeManySparseFromTensorsMap.Attrs Container(@tensorflow.StringPiece
                                                                              String x)

SharedName

@ByVal
public static tensorflow.TakeManySparseFromTensorsMap.Attrs SharedName(@tensorflow.StringPiece
                                                                               BytePointer x)

SharedName

@ByVal
public static tensorflow.TakeManySparseFromTensorsMap.Attrs SharedName(@tensorflow.StringPiece
                                                                               String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.TakeManySparseFromTensorsMap operation(tensorflow.Operation operation)

sparse_indices

@ByRef
public tensorflow.Output sparse_indices()

sparse_indices

public tensorflow.TakeManySparseFromTensorsMap sparse_indices(tensorflow.Output sparse_indices)

sparse_values

@ByRef
public tensorflow.Output sparse_values()

sparse_values

public tensorflow.TakeManySparseFromTensorsMap sparse_values(tensorflow.Output sparse_values)

sparse_shape

@ByRef
public tensorflow.Output sparse_shape()

sparse_shape

public tensorflow.TakeManySparseFromTensorsMap sparse_shape(tensorflow.Output sparse_shape)