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https://github.com/zebrajr/pytorch.git
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5fb1142702
Summary: Implement compressed sparse row format. Derived from the GCS implementation at https://github.com/pytorch/pytorch/pull/44190 Pull Request resolved: https://github.com/pytorch/pytorch/pull/50937 Reviewed By: mrshenli Differential Revision: D27439865 Pulled By: ezyang fbshipit-source-id: 3ba3dcb9679505b980ff6a5f513e913bbae2fb1d
47 lines
1.6 KiB
C++
47 lines
1.6 KiB
C++
#include <ATen/Layout.h>
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#include <c10/core/ScalarType.h>
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#include <torch/csrc/DynamicTypes.h>
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#include <torch/csrc/Exceptions.h>
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#include <torch/csrc/Layout.h>
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#include <torch/csrc/python_headers.h>
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#include <torch/csrc/utils/object_ptr.h>
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#include <torch/csrc/utils/tensor_layouts.h>
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namespace torch { namespace utils {
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void initializeLayouts() {
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auto torch_module = THPObjectPtr(PyImport_ImportModule("torch"));
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if (!torch_module) throw python_error();
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PyObject* strided_layout = THPLayout_New(at::Layout::Strided, "torch.strided");
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Py_INCREF(strided_layout);
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if (PyModule_AddObject(torch_module, "strided", strided_layout) != 0) {
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throw python_error();
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}
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registerLayoutObject((THPLayout*)strided_layout, at::Layout::Strided);
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PyObject* sparse_coo_layout = THPLayout_New(at::Layout::Sparse, "torch.sparse_coo");
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Py_INCREF(sparse_coo_layout);
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if (PyModule_AddObject(torch_module, "sparse_coo", sparse_coo_layout) != 0) {
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throw python_error();
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}
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registerLayoutObject((THPLayout*)sparse_coo_layout, at::Layout::Sparse);
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PyObject* sparse_csr_layout =
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THPLayout_New(at::Layout::SparseCsr, "torch.sparse_csr");
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Py_INCREF(sparse_csr_layout);
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if (PyModule_AddObject(torch_module, "sparse_csr", sparse_csr_layout) != 0) {
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throw python_error();
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}
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registerLayoutObject((THPLayout*)sparse_csr_layout, at::Layout::SparseCsr);
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PyObject* mkldnn_layout = THPLayout_New(at::Layout::Mkldnn, "torch._mkldnn");
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Py_INCREF(mkldnn_layout);
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if (PyModule_AddObject(torch_module, "_mkldnn", mkldnn_layout) != 0) {
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throw python_error();
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}
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registerLayoutObject((THPLayout*)mkldnn_layout, at::Layout::Mkldnn);
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}
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}} // namespace torch::utils
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