@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.DeserializeManySparse extends Pointer
SparseTensors from a serialized minibatch.
The input serialized_sparse must be a string matrix of shape [N x 3] where
N is the minibatch size and the rows correspond to packed outputs of
SerializeSparse. The ranks of the original SparseTensor objects
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).
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 serialized input is a [2 x 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 deserialized 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
* serialized_sparse: 2-D, The N serialized SparseTensor objects.
Must have 3 columns.
* dtype: The dtype of the serialized SparseTensor objects.
Returns:
* Output sparse_indices
* Output sparse_values
* Output sparse_shapePointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
DeserializeManySparse(Pointer p)
Pointer cast constructor.
|
DeserializeManySparse(tensorflow.Scope scope,
tensorflow.Input serialized_sparse,
int dtype) |
| Modifier and Type | Method and Description |
|---|---|
tensorflow.Operation |
operation() |
tensorflow.DeserializeManySparse |
operation(tensorflow.Operation operation) |
tensorflow.Output |
sparse_indices() |
tensorflow.DeserializeManySparse |
sparse_indices(tensorflow.Output sparse_indices) |
tensorflow.Output |
sparse_shape() |
tensorflow.DeserializeManySparse |
sparse_shape(tensorflow.Output sparse_shape) |
tensorflow.Output |
sparse_values() |
tensorflow.DeserializeManySparse |
sparse_values(tensorflow.Output sparse_values) |
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, zeropublic DeserializeManySparse(Pointer p)
Pointer.Pointer(Pointer).public DeserializeManySparse(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input serialized_sparse, @Cast(value="tensorflow::DataType") int dtype)
@ByRef public tensorflow.Operation operation()
public tensorflow.DeserializeManySparse operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output sparse_indices()
public tensorflow.DeserializeManySparse sparse_indices(tensorflow.Output sparse_indices)
@ByRef public tensorflow.Output sparse_values()
public tensorflow.DeserializeManySparse sparse_values(tensorflow.Output sparse_values)
@ByRef public tensorflow.Output sparse_shape()
public tensorflow.DeserializeManySparse sparse_shape(tensorflow.Output sparse_shape)
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