org.bytedeco.javacpp

Class tensorflow.ParseExample

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.ParseExample

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Transforms a vector of brain.Example protos (as strings) into typed tensors. Arguments: * scope: A Scope object * serialized: A vector containing a batch of binary serialized Example protos. * names: A vector containing the names of the serialized protos. May contain, for example, table key (descriptive) names for the corresponding serialized protos. These are purely useful for debugging purposes, and the presence of values here has no effect on the output. May also be an empty vector if no names are available. If non-empty, this vector must be the same length as "serialized". * sparse_keys: A list of Nsparse string Tensors (scalars). The keys expected in the Examples' features associated with sparse values. * dense_keys: A list of Ndense string Tensors (scalars). The keys expected in the Examples' features associated with dense values. * dense_defaults: A list of Ndense Tensors (some may be empty). 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. * sparse_types: A list of Nsparse types; the data types of data in each Feature given in sparse_keys. Currently the ParseExample supports DT_FLOAT (FloatList), DT_INT64 (Int64List), and DT_STRING (BytesList). * dense_shapes: A list of Ndense shapes; the shapes of data in each Feature given in 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 (|serialized|, D0, D1, ..., DN): The dense outputs are just the inputs row-stacked by batch. This works for dense_shapes[j] = (-1, D1, ..., DN). In this case the shape of the output Tensor dense_values[j] will be (|serialized|, M, D1, .., DN), where M is the maximum number of blocks of elements of length D1 * .... * DN, across all minibatch entries in the input. Any minibatch entry with less than M blocks of elements of length D1 * ... * DN will be padded with the corresponding default_value scalar element along the second dimension. 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
ParseExample(Pointer p) Pointer cast constructor.
ParseExample(tensorflow.Scope scope, tensorflow.Input serialized, tensorflow.Input names, tensorflow.InputList sparse_keys, tensorflow.InputList dense_keys, tensorflow.InputList dense_defaults, tensorflow.DataTypeVector sparse_types, tensorflow.PartialTensorShape dense_shapes)

Method Summary

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

ParseExample

public ParseExample(Pointer p)

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

ParseExample

public ParseExample(@Const @ByRef
                    tensorflow.Scope scope,
                    @ByVal
                    tensorflow.Input serialized,
                    @ByVal
                    tensorflow.Input names,
                    @ByVal
                    tensorflow.InputList sparse_keys,
                    @ByVal
                    tensorflow.InputList dense_keys,
                    @ByVal
                    tensorflow.InputList dense_defaults,
                    @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.ParseExample operation(tensorflow.Operation operation)

sparse_indices

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

sparse_indices

public tensorflow.ParseExample sparse_indices(tensorflow.OutputVector sparse_indices)

sparse_values

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

sparse_values

public tensorflow.ParseExample sparse_values(tensorflow.OutputVector sparse_values)

sparse_shapes

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

sparse_shapes

public tensorflow.ParseExample sparse_shapes(tensorflow.OutputVector sparse_shapes)

dense_values

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

dense_values

public tensorflow.ParseExample dense_values(tensorflow.OutputVector dense_values)