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텐서플로우:: 작전:: SparseTensorDenseAdd
#include <sparse_ops.h>
SparseTensor
와 Dense Tensor
합산하여 Dense Tensor
생성합니다.
요약
이 작업에서는 a_indices
표준 사전순으로 정렬할 필요가 없습니다.
인수:
- 범위: 범위 개체
- a_indices: 2-D.
[nnz, ndims]
형태의 SparseTensor
indices
. - a_values: 1-D.
[nnz]
형태의 SparseTensor
values
. - a_shape: 1-D.
[ndims]
모양을 갖는 SparseTensor
의 shape
. - b:
ndims
-D 텐서 . 모양이 a_shape
.
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
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최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::SparseTensorDenseAdd Class Reference\n\ntensorflow::ops::SparseTensorDenseAdd\n=====================================\n\n`#include \u003csparse_ops.h\u003e`\n\nAdds up a `SparseTensor` and a dense [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor), producing a dense [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor).\n\nSummary\n-------\n\nThis Op does not require `a_indices` be sorted in standard lexicographic order.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- a_indices: 2-D. The `indices` of the `SparseTensor`, with shape `[nnz, ndims]`.\n- a_values: 1-D. The `values` of the `SparseTensor`, with shape `[nnz]`.\n- a_shape: 1-D. The `shape` of the `SparseTensor`, with shape `[ndims]`.\n- b: `ndims`-D [Tensor](/versions/r2.2/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor). With shape `a_shape`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseTensorDenseAdd](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_add_1a38c64871414d5de93d943d6971794d45)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_indices, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_values, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` a_shape, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` b)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_add_1a1459d5b89685305fc2681d3f306dd73b) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_add_1a6978070283c292c128c808e0b999f6ee) | `::`[tensorflow::Output](/versions/r2.2/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_add_1ac51ac5fcff835a3664c01c66cbbff941)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_add_1a7d18748b94a687fabc17564c822da90d)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_tensor_dense_add_1a1b17ec100ab821b17c835af61c1eceb2)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### SparseTensorDenseAdd\n\n```gdscript\n SparseTensorDenseAdd(\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### 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```"]]