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https://github.com/saymrwulf/pytorch.git
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3a8d7463bd
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21523 ghimport-source-id: 698b3cbd6b21c09b9ff8bf8011980df8e35c33b0 Test Plan: Imported from OSS Differential Revision: D15819368 Pulled By: izdeby fbshipit-source-id: f6b3bba7b3ca8ee677bd80a231dbb3920c07d61c
46 lines
1.7 KiB
C++
46 lines
1.7 KiB
C++
#include <torch/csrc/python_headers.h>
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#include <stdarg.h>
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#include <string>
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#include <torch/csrc/cuda/THCP.h>
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#include <torch/csrc/cuda/override_macros.h>
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#define THC_GENERIC_FILE "torch/csrc/generic/utils.cpp"
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#include <THC/THCGenerateAllTypes.h>
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#define THC_GENERIC_FILE "torch/csrc/generic/utils.cpp"
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#include <THC/THCGenerateBoolType.h>
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#define THC_GENERIC_FILE "torch/csrc/generic/utils.cpp"
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#include <THC/THCGenerateBFloat16Type.h>
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#ifdef USE_CUDA
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// NB: It's a list of *optional* CUDAStream; when nullopt, that means to use
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// whatever the current stream of the device the input is associated with was.
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std::vector<c10::optional<at::cuda::CUDAStream>> THPUtils_PySequence_to_CUDAStreamList(PyObject *obj) {
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if (!PySequence_Check(obj)) {
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throw std::runtime_error("Expected a sequence in THPUtils_PySequence_to_CUDAStreamList");
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}
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THPObjectPtr seq = THPObjectPtr(PySequence_Fast(obj, nullptr));
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if (seq.get() == nullptr) {
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throw std::runtime_error("expected PySequence, but got " + std::string(THPUtils_typename(obj)));
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}
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std::vector<c10::optional<at::cuda::CUDAStream>> streams;
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Py_ssize_t length = PySequence_Fast_GET_SIZE(seq.get());
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for (Py_ssize_t i = 0; i < length; i++) {
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PyObject *stream = PySequence_Fast_GET_ITEM(seq.get(), i);
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if (PyObject_IsInstance(stream, THCPStreamClass)) {
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// Spicy hot reinterpret cast!!
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streams.emplace_back( at::cuda::CUDAStream::unpack((reinterpret_cast<THCPStream*>(stream))->cdata) );
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} else if (stream == Py_None) {
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streams.emplace_back();
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} else {
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std::runtime_error("Unknown data type found in stream list. Need torch.cuda.Stream or None");
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}
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}
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return streams;
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}
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#endif
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