org.bytedeco.javacpp

Class tensorflow.ParseSingleExample

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ParseSingleExample

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Transforms a tf.Example proto (as a string) into typed tensors. Arguments: * scope: A Scope object * serialized: A vector containing a batch of binary serialized Example protos. * dense_defaults: A list of Tensors (some may be empty), whose length matches the length of dense_keys. dense_defaults[j] provides default values when the example's feature_map lacks dense_key[j]. If an empty Tensor is provided for dense_defaults[j], then the Feature dense_keys[j] is required. The input type is inferred from dense_defaults[j], even when it's empty. If dense_defaults[j] is not empty, and dense_shapes[j] is fully defined, then the shape of dense_defaults[j] must match that of dense_shapes[j]. If dense_shapes[j] has an undefined major dimension (variable strides dense feature), dense_defaults[j] must contain a single element: the padding element. * num_sparse: The number of sparse features to be parsed from the example. This must match the lengths of sparse_keys and sparse_types. * sparse_keys: A list of num_sparse strings. The keys expected in the Examples' features associated with sparse values. * dense_keys: The keys expected in the Examples' features associated with dense values. * sparse_types: A list of num_sparse types; the data types of data in each Feature given in sparse_keys. Currently the ParseSingleExample op supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList). * dense_shapes: The shapes of data in each Feature given in dense_keys. The length of this list must match the length of dense_keys. The number of elements in the Feature corresponding to dense_key[j] must always equal dense_shapes[j].NumEntries(). If dense_shapes[j] == (D0, D1, ..., DN) then the shape of output Tensor dense_values[j] will be (D0, D1, ..., DN): In the case dense_shapes[j] = (-1, D1, ..., DN), the shape of the output Tensor dense_values[j] will be (M, D1, .., DN), where M is the number of blocks of elements of length D1 * .... * DN, in the input. Returns: * OutputList sparse_indices * OutputList sparse_values * OutputList sparse_shapes * OutputList dense_values

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
ParseSingleExample(Pointer p) Pointer cast constructor.
ParseSingleExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.InputList dense_defaults, long num_sparse, tensorflow.StringVector sparse_keys, tensorflow.StringVector dense_keys, tensorflow.DataTypeVector sparse_types, tensorflow.PartialTensorShape dense_shapes)

Method Summary

Modifier and Type	Method and Description
tensorflow.OutputVector	dense_values()
tensorflow.ParseSingleExample	dense_values(tensorflow.OutputVector dense_values)
tensorflow.Operation	operation()
tensorflow.ParseSingleExample	operation(tensorflow.Operation operation)
tensorflow.OutputVector	sparse_indices()
tensorflow.ParseSingleExample	sparse_indices(tensorflow.OutputVector sparse_indices)
tensorflow.OutputVector	sparse_shapes()
tensorflow.ParseSingleExample	sparse_shapes(tensorflow.OutputVector sparse_shapes)
tensorflow.OutputVector	sparse_values()
tensorflow.ParseSingleExample	sparse_values(tensorflow.OutputVector 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

ParseSingleExample

public ParseSingleExample(Pointer p)

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

ParseSingleExample

public ParseSingleExample(@Const @ByRef
                          tensorflow.Scope scope,
                          @ByVal
                          tensorflow.Input serialized,
                          @ByVal
                          tensorflow.InputList dense_defaults,
                          @Cast(value="tensorflow::int64")
                          long num_sparse,
                          @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                          tensorflow.StringVector sparse_keys,
                          @Cast(value="const tensorflow::gtl::ArraySlice<tensorflow::string>*") @ByRef
                          tensorflow.StringVector dense_keys,
                          @Cast(value="const tensorflow::DataTypeSlice*") @ByRef
                          tensorflow.DataTypeVector sparse_types,
                          @tensorflow.ArraySlice
                          tensorflow.PartialTensorShape dense_shapes)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.ParseSingleExample operation(tensorflow.Operation operation)

sparse_indices

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector sparse_indices()

sparse_indices

public tensorflow.ParseSingleExample sparse_indices(tensorflow.OutputVector sparse_indices)

sparse_values

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector sparse_values()

sparse_values

public tensorflow.ParseSingleExample sparse_values(tensorflow.OutputVector sparse_values)

sparse_shapes

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector sparse_shapes()

sparse_shapes

public tensorflow.ParseSingleExample sparse_shapes(tensorflow.OutputVector sparse_shapes)

dense_values

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector dense_values()

dense_values

public tensorflow.ParseSingleExample dense_values(tensorflow.OutputVector dense_values)