@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class SparseConcat extends Pointer
SparseTensor
along the specified dimension.
Concatenation is with respect to the dense versions of these sparse tensors.
It is assumed that each input is a SparseTensor
whose elements are ordered
along increasing dimension number.
All inputs' shapes must match, except for the concat dimension. The
indices
, values
, and shapes
lists must have the same length.
The output shape is identical to the inputs', except along the concat
dimension, where it is the sum of the inputs' sizes along that dimension.
The output elements will be resorted to preserve the sort order along
increasing dimension number.
This op runs in O(M log M)
time, where M
is the total number of non-empty
values across all inputs. This is due to the need for an internal sort in
order to concatenate efficiently across an arbitrary dimension.
For example, if concat_dim = 1
and the inputs are
sp_inputs[0]: shape = [2, 3]
[0, 2]: "a"
[1, 0]: "b"
[1, 1]: "c"
sp_inputs[1]: shape = [2, 4]
[0, 1]: "d"
[0, 2]: "e"
then the output will be
shape = [2, 7]
[0, 2]: "a"
[0, 4]: "d"
[0, 5]: "e"
[1, 0]: "b"
[1, 1]: "c"
Graphically this is equivalent to doing
[ a] concat [ d e ] = [ a d e ]
[b c ] [ ] [b c ]
Arguments:
* scope: A Scope object
* indices: 2-D. Indices of each input SparseTensor
.
* values: 1-D. Non-empty values of each SparseTensor
.
* shapes: 1-D. Shapes of each SparseTensor
.
* concat_dim: Dimension to concatenate along. Must be in range [-rank, rank),
where rank is the number of dimensions in each input SparseTensor
.
Returns:
* Output
output_indices: 2-D. Indices of the concatenated SparseTensor
.
* Output
output_values: 1-D. Non-empty values of the concatenated SparseTensor
.
* Output
output_shape: 1-D. Shape of the concatenated SparseTensor
.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
SparseConcat(Pointer p)
Pointer cast constructor.
|
SparseConcat(Scope scope,
InputList indices,
InputList values,
InputList shapes,
long concat_dim) |
Modifier and Type | Method and Description |
---|---|
Operation |
operation() |
SparseConcat |
operation(Operation setter) |
Output |
output_indices() |
SparseConcat |
output_indices(Output setter) |
Output |
output_shape() |
SparseConcat |
output_shape(Output setter) |
Output |
output_values() |
SparseConcat |
output_values(Output setter) |
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public SparseConcat(Pointer p)
Pointer(Pointer)
.public SparseConcat operation(Operation setter)
public SparseConcat output_indices(Output setter)
public SparseConcat output_values(Output setter)
public SparseConcat output_shape(Output setter)
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