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tensorflow::ops::SparseTensorDenseMatMul

#include <sparse_ops.h>

Multiply SparseTensor (of rank 2) "A" by dense matrix "B".

Summary

No validity checking is performed on the indices of A. However, the following input format is recommended for optimal behavior:

if adjoint_a == false: A should be sorted in lexicographically increasing order. Use SparseReorder if you're not sure. if adjoint_a == true: A should be sorted in order of increasing dimension 1 (i.e., "column major" order instead of "row major" order).

Args:

  • scope: A Scope object
  • a_indices: 2-D. The indices of the SparseTensor, size [nnz, 2] Matrix.
  • a_values: 1-D. The values of the SparseTensor, size [nnz] Vector.
  • a_shape: 1-D. The shape of the SparseTensor, size [2] Vector.
  • b: 2-D. A dense Matrix.

Optional attributes (see Attrs):

  • adjoint_a: Use the adjoint of A in the matrix multiply. If A is complex, this is transpose(conj(A)). Otherwise it's transpose(A).
  • adjoint_b: Use the adjoint of B in the matrix multiply. If B is complex, this is transpose(conj(B)). Otherwise it's transpose(B).

Returns:

Constructors and Destructors
SparseTensorDenseMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a_indices, ::tensorflow::Input a_values, ::tensorflow::Input a_shape, ::tensorflow::Input b)
SparseTensorDenseMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a_indices, ::tensorflow::Input a_values, ::tensorflow::Input a_shape, ::tensorflow::Input b, const SparseTensorDenseMatMul::Attrs & attrs)
Public attributes
operation
product
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Public static functions
AdjointA(bool x)
AdjointB(bool x)
Structs
tensorflow::ops::SparseTensorDenseMatMul::Attrs

Optional attribute setters for SparseTensorDenseMatMul.

Public attributes

operation

Operation operation

product

::tensorflow::Output product

Public functions

SparseTensorDenseMatMul

 SparseTensorDenseMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a_indices,
  ::tensorflow::Input a_values,
  ::tensorflow::Input a_shape,
  ::tensorflow::Input b
)

SparseTensorDenseMatMul

 SparseTensorDenseMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a_indices,
  ::tensorflow::Input a_values,
  ::tensorflow::Input a_shape,
  ::tensorflow::Input b,
  const SparseTensorDenseMatMul::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

Public static functions

AdjointA

Attrs AdjointA(
  bool x
)

AdjointB

Attrs AdjointB(
  bool x
)

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/cc/class/tensorflow/ops/sparse-tensor-dense-mat-mul