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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/41154 Test Plan: Imported from OSS Reviewed By: ailzhang Differential Revision: D22445213 Pulled By: suo fbshipit-source-id: 200545715c5ef13beb1437f49e01efb21498ddb7
71 lines
2.5 KiB
Python
71 lines
2.5 KiB
Python
import contextlib
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import torch
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@contextlib.contextmanager
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def optimized_execution(should_optimize):
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"""
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A context manager that controls whether the JIT's executor will run
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optimizations before executing a function.
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"""
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stored_flag = torch._C._get_graph_executor_optimize()
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torch._C._set_graph_executor_optimize(should_optimize)
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try:
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yield
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finally:
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torch._C._set_graph_executor_optimize(stored_flag)
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@contextlib.contextmanager
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def fuser(name):
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"""
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A context manager that facilitates switching between
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backend fusers.
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Valid names:
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* ``fuser0`` - enables only legacy fuser
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* ``fuser1`` - enables only NNC
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* ``fuser2`` - enables only nvFuser
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"""
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old_cpu_fuse = torch._C._jit_can_fuse_on_cpu()
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old_gpu_fuse = torch._C._jit_can_fuse_on_gpu()
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old_texpr_fuser_state = torch._C._jit_texpr_fuser_enabled()
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old_nvfuser_state = torch._C._jit_nvfuser_enabled()
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if name == 'fuser0': # legacy fuser
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torch._C._jit_override_can_fuse_on_cpu(True)
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torch._C._jit_override_can_fuse_on_gpu(True)
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torch._C._jit_set_texpr_fuser_enabled(False)
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torch._C._jit_set_nvfuser_enabled(False)
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elif name == 'fuser1': # NNC
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old_profiling_executor = torch._C._jit_set_profiling_executor(True)
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old_profiling_mode = torch._C._jit_set_profiling_mode(True)
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torch._C._jit_override_can_fuse_on_cpu(False)
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torch._C._jit_override_can_fuse_on_gpu(False)
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torch._C._jit_set_texpr_fuser_enabled(True)
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torch._C._jit_set_nvfuser_enabled(False)
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elif name == 'fuser2': # nvFuser
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torch._C._jit_override_can_fuse_on_cpu(False)
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torch._C._jit_override_can_fuse_on_gpu(False)
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torch._C._jit_set_texpr_fuser_enabled(False)
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torch._C._jit_set_nvfuser_enabled(True)
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else:
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raise Exception("unrecognized fuser option")
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try:
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yield
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finally:
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if name == 'fuser1': # NNC
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torch._C._jit_set_profiling_executor(old_profiling_executor)
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torch._C._jit_set_profiling_mode(old_profiling_mode)
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# recover the previous values
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torch._C._jit_override_can_fuse_on_cpu(old_cpu_fuse)
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torch._C._jit_override_can_fuse_on_gpu(old_gpu_fuse)
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torch._C._jit_set_texpr_fuser_enabled(old_texpr_fuser_state)
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torch._C._jit_set_nvfuser_enabled(old_nvfuser_state)
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last_executed_optimized_graph = torch._C._last_executed_optimized_graph
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def _graph_for(self, *args, **kwargs):
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self(*args, **kwargs)
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return last_executed_optimized_graph()
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