61 lines
2.2 KiB
C++
61 lines
2.2 KiB
C++
// #include <torch/torch.h>
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// int main()
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// {
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// torch::Tensor t = torch::rand({ 5, 5 });
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// // Print original tensor
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// std::cout << t << std::endl;
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// // New value
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// torch::Tensor new_val = torch::tensor(10.0f);
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// // Indices for the cell you want to update
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// auto index_i = torch::tensor({ 2 });
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// auto index_j = torch::tensor({ 3 });
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// // Update cell
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// t.index_put_({ index_i, index_j }, new_val);
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// // Print updated tensor
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// std::cout << t << std::endl;
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// }
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#include <torch/torch.h>
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int main()
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{
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//torch::Tensor t = torch::rand({ 5, 4, 3 }); // 3D tensor for this example
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//int i = 3, j = 1, k = 2; // Indices for the cell you want to update
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// Print original tensor
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torch::Tensor t = torch::tensor({ {1, 2, 3}, {4, 5, 6} }); // 3D tensor for this example
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std::cout << t << std::endl;
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std::cout << "sum(0)" << std::endl;
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std::cout << t.sum(0) << std::endl;
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std::cout << "sum(1)" << std::endl;
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std::cout << t.sum(1) << std::endl;
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std::cout << "Normalized" << std::endl;
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std::cout << t / t.sum(0) << std::endl;
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// New value
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// torch::Tensor new_val = torch::tensor(10.0f);
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// // Indices for the cell you want to update
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// std::vector<torch::Tensor> indices;
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// indices.push_back(torch::tensor(i)); // Replace i with your index for the 1st dimension
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// indices.push_back(torch::tensor(j)); // Replace j with your index for the 2nd dimension
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// indices.push_back(torch::tensor(k)); // Replace k with your index for the 3rd dimension
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// //torch::ArrayRef<at::indexing::TensorIndex> indices_ref(indices);
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// // Update cell
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// //torch::Tensor result = torch::stack(indices);
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// //torch::List<c10::optional<torch::Tensor>> indices_list = { torch::tensor(i), torch::tensor(j), torch::tensor(k) };
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// torch::List<c10::optional<torch::Tensor>> indices_list;
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// indices_list.push_back(torch::tensor(i));
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// indices_list.push_back(torch::tensor(j));
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// indices_list.push_back(torch::tensor(k));
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// //t.index_put_({ torch::tensor(i), torch::tensor(j), torch::tensor(k) }, new_val);
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// t.index_put_(indices_list, new_val);
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// // Print updated tensor
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// std::cout << t << std::endl;
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}
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