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76129c7cdf
Test Plan: revert-hammer
Differential Revision:
D26993790 (90dfdef226)
Original commit changeset: a992eaee1b8c
fbshipit-source-id: 6ddb4aedd6154d7d89847aa5a34181158d06a309
47 lines
1.8 KiB
C++
47 lines
1.8 KiB
C++
#include <torch/csrc/python_headers.h>
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#include <pybind11/chrono.h>
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#include <torch/csrc/jit/python/pybind_utils.h>
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#include <torch/csrc/utils/pybind.h>
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#include <ATen/cuda/CUDAGraph.h>
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// Cargo culted partially from csrc/distributed/c10d/init.cpp
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// and partially from csrc/cuda/Stream.cpp.
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// THCPStream_init is also declared at global scope.
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// Because THCPGraph_init is forward declared in the only consumer (csrc/Module.cpp)
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// I don't think we need a Graph.h.
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template <typename T>
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using shared_ptr_class_ = py::class_<T, std::shared_ptr<T>>;
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void THCPGraph_init(PyObject *module) {
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// Pybind11 patch notes say "py::module_" is more up-to-date syntax,
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// but CI linter and some builds prefer "module".
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auto torch_C_m = py::handle(module).cast<py::module>();
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shared_ptr_class_<::at::cuda::CUDAGraph>(module, "_CudaGraphBase")
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.def(py::init<>())
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.def("capture_begin",
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&::at::cuda::CUDAGraph::capture_begin,
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py::call_guard<py::gil_scoped_release>(),
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R"(``capture_begin`` begins Cuda graph capture on the current stream.)")
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.def("capture_end",
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&::at::cuda::CUDAGraph::capture_end,
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py::call_guard<py::gil_scoped_release>(),
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R"(``capture_end`` ends Cuda graph capture on the current stream.
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After ``capture_end``, ``replay`` may be called on this instance.)")
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.def("replay",
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&::at::cuda::CUDAGraph::replay,
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py::call_guard<py::gil_scoped_release>(),
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R"(``replay`` replays the Cuda graph captured by this instance.)")
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// reset is called in __del__ on the Python side
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// (see class Graph in torch/cuda/streams.py for reasons and caveats)
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.def("reset",
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&::at::cuda::CUDAGraph::reset,
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py::call_guard<py::gil_scoped_release>(),
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R"(``reset`` deletes the graph currently held by this instance.)");
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}
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