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ada8404f2d
Summary: The premise of this approach is that a small subset of neural networks are well represented by a data flow graph. The README contains more information. The name is subject to change, but I thought it was a cute reference to fire. suo let me know if you'd prefer this in a different spot. Since it lowers a JIT'd module directly I assumed the JIT folder would be appropriate. There is no exposed Python interface yet (but is mocked up in `test_accelerant.py`) Pull Request resolved: https://github.com/pytorch/pytorch/pull/42753 Reviewed By: zou3519 Differential Revision: D23043771 Pulled By: bwasti fbshipit-source-id: 5353731e3aae31c08b5b49820815da98113eb551
10 lines
175 B
C++
10 lines
175 B
C++
#include <torch/csrc/jit/python/pybind_utils.h>
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namespace torch {
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namespace jit {
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void initStaticRuntimeBindings(PyObject* module);
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} // namespace jit
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} // namespace torch
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