org.bytedeco.javacpp

Class tensorflow.SparseCross

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseCross

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Generates sparse cross from a list of sparse and dense tensors. The op takes two lists, one of 2D SparseTensor and one of 2D Tensor, each representing features of one feature column. It outputs a 2D SparseTensor with the batchwise crosses of these features. For example, if the inputs are inputs[0]: SparseTensor with shape = [2, 2] [0, 0]: "a" [1, 0]: "b" [1, 1]: "c" inputs[1]: SparseTensor with shape = [2, 1] [0, 0]: "d" [1, 0]: "e" inputs[2]: Tensor [["f"], ["g"]] then the output will be shape = [2, 2] [0, 0]: "a_X_d_X_f" [1, 0]: "b_X_e_X_g" [1, 1]: "c_X_e_X_g" if hashed_output=true then the output will be shape = [2, 2] [0, 0]: FingerprintCat64( Fingerprint64("f"), FingerprintCat64( Fingerprint64("d"), Fingerprint64("a"))) [1, 0]: FingerprintCat64( Fingerprint64("g"), FingerprintCat64( Fingerprint64("e"), Fingerprint64("b"))) [1, 1]: FingerprintCat64( Fingerprint64("g"), FingerprintCat64( Fingerprint64("e"), Fingerprint64("c"))) Arguments: * scope: A Scope object * indices: 2-D. Indices of each input SparseTensor. * values: 1-D. values of each SparseTensor. * shapes: 1-D. Shapes of each SparseTensor. * dense_inputs: 2-D. Columns represented by dense Tensor. * hashed_output: If true, returns the hash of the cross instead of the string. This will allow us avoiding string manipulations. * num_buckets: It is used if hashed_output is true. output = hashed_value%num_buckets if num_buckets > 0 else hashed_value. * hash_key: Specify the hash_key that will be used by the FingerprintCat64 function to combine the crosses fingerprints. Returns: * Output output_indices: 2-D. Indices of the concatenated SparseTensor. * Output output_values: 1-D. Non-empty values of the concatenated or hashed SparseTensor. * Output output_shape: 1-D. Shape of the concatenated SparseTensor.

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
SparseCross(Pointer p) Pointer cast constructor.
SparseCross(tensorflow.Scope scope, tensorflow.InputList indices, tensorflow.InputList values, tensorflow.InputList shapes, tensorflow.InputList dense_inputs, boolean hashed_output, long num_buckets, long hash_key, int out_type, int internal_type)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	operation()
tensorflow.SparseCross	operation(tensorflow.Operation operation)
tensorflow.Output	output_indices()
tensorflow.SparseCross	output_indices(tensorflow.Output output_indices)
tensorflow.Output	output_shape()
tensorflow.SparseCross	output_shape(tensorflow.Output output_shape)
tensorflow.Output	output_values()
tensorflow.SparseCross	output_values(tensorflow.Output output_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

SparseCross

public SparseCross(Pointer p)

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

SparseCross

public SparseCross(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.InputList indices,
                   @ByVal
                   tensorflow.InputList values,
                   @ByVal
                   tensorflow.InputList shapes,
                   @ByVal
                   tensorflow.InputList dense_inputs,
                   @Cast(value="bool")
                   boolean hashed_output,
                   @Cast(value="tensorflow::int64")
                   long num_buckets,
                   @Cast(value="tensorflow::int64")
                   long hash_key,
                   @Cast(value="tensorflow::DataType")
                   int out_type,
                   @Cast(value="tensorflow::DataType")
                   int internal_type)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseCross operation(tensorflow.Operation operation)

output_indices

@ByRef
public tensorflow.Output output_indices()

output_indices

public tensorflow.SparseCross output_indices(tensorflow.Output output_indices)

output_values

@ByRef
public tensorflow.Output output_values()

output_values

public tensorflow.SparseCross output_values(tensorflow.Output output_values)

output_shape

@ByRef
public tensorflow.Output output_shape()

output_shape

public tensorflow.SparseCross output_shape(tensorflow.Output output_shape)