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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).
Arguments:
- 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:
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
AdjointA
Attrs AdjointA(
bool x
)
AdjointB
Attrs AdjointB(
bool x
)
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Last updated 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::SparseTensorDenseMatMul Class Reference\n\ntensorflow::ops::SparseTensorDenseMatMul\n========================================\n\n`#include \u003csparse_ops.h\u003e`\n\n[Multiply](/versions/r1.15/api_docs/cc/class/tensorflow/ops/multiply#classtensorflow_1_1ops_1_1_multiply) SparseTensor (of rank 2) \"A\" by dense matrix \"B\".\n\nSummary\n-------\n\nNo validity checking is performed on the indices of A. However, the following input format is recommended for optimal behavior:\n\nif adjoint_a == false: A should be sorted in lexicographically increasing order. Use [SparseReorder](/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-reorder#classtensorflow_1_1ops_1_1_sparse_reorder) 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).\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- a_indices: 2-D. The `indices` of the `SparseTensor`, size `[nnz, 2]` Matrix.\n- a_values: 1-D. The `values` of the `SparseTensor`, size `[nnz]` Vector.\n- a_shape: 1-D. The `shape` of the `SparseTensor`, size `[2]` Vector.\n- b: 2-D. A dense Matrix.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-tensor-dense-mat-mul/attrs#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs)):\n\n- 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).\n- 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).\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The product tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseTensorDenseMatMul](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1adf1f689b8b8d0d72c059efbea5fb9cac)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_values, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` b)` ||\n| [SparseTensorDenseMatMul](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1a3643c83b6940a54319e70b0bc094f948)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_indices, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_values, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` b, const `[SparseTensorDenseMatMul::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-tensor-dense-mat-mul/attrs#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1a5213c7ac11f10109585773e8fe2cd041) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [product](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1a8895f99af9af5585d8bd937b817bb0ae) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1a3c65317b9c1886136c7de4e03ec51641)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1ac394c138be85d3c36ae20b40f867d72c)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1a888b8f4b59aea6d4ff0bdeeba2ad5338)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [AdjointA](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1a972ac5b3a5538d477e96e8d1d857ccca)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-tensor-dense-mat-mul/attrs#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs) |\n| [AdjointB](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1ac3e772adcb84c991bdd702ba2f6f7b98)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-tensor-dense-mat-mul/attrs#structtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::SparseTensorDenseMatMul::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/sparse-tensor-dense-mat-mul/attrs) | Optional attribute setters for [SparseTensorDenseMatMul](/versions/r1.15/api_docs/cc/class/tensorflow/ops/sparse-tensor-dense-mat-mul#classtensorflow_1_1ops_1_1_sparse_tensor_dense_mat_mul). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### product\n\n```text\n::tensorflow::Output product\n``` \n\nPublic functions\n----------------\n\n### SparseTensorDenseMatMul\n\n```gdscript\n SparseTensorDenseMatMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input a_indices,\n ::tensorflow::Input a_values,\n ::tensorflow::Input a_shape,\n ::tensorflow::Input b\n)\n``` \n\n### SparseTensorDenseMatMul\n\n```gdscript\n SparseTensorDenseMatMul(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input a_indices,\n ::tensorflow::Input a_values,\n ::tensorflow::Input a_shape,\n ::tensorflow::Input b,\n const SparseTensorDenseMatMul::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### AdjointA\n\n```text\nAttrs AdjointA(\n bool x\n)\n``` \n\n### AdjointB\n\n```text\nAttrs AdjointB(\n bool x\n)\n```"]]
