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6161730174
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/41502 Test Plan: Imported from OSS Reviewed By: Krovatkin Differential Revision: D22629270 Pulled By: eellison fbshipit-source-id: fcec6ae4ff8f108164539d67427ef3d72fa07494
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
import os
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import sys
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import torch
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from torch.testing import FileCheck
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# Make the helper files in test/ importable
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pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
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sys.path.append(pytorch_test_dir)
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from torch.testing._internal.jit_utils import JitTestCase
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if __name__ == '__main__':
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raise RuntimeError("This test file is not meant to be run directly, use:\n\n"
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"\tpython test/test_jit.py TESTNAME\n\n"
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"instead.")
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class TestFunctionalBlocks(JitTestCase):
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def test_subgraph_creation(self):
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def fn(x, y, z):
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x = x + 1
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y = y + 1
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z = z + 1
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z.add_(2)
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z = z * z
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y = y * z
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if y < 2:
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y = y + 5
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return x + y + z
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graph = torch.jit.script(fn).graph
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self.run_pass('create_functional_graphs', graph)
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# all uses of x and y should be sunk
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FileCheck().check(r"%x").check_not(r"%x").check("FunctionalGraph").check(r"%x").run(graph)
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FileCheck().check(r"%y").check_not(r"%y").check("FunctionalGraph").check(r"%y").run(graph)
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# Don't allow any outputs which escape scope, so there is one final addition in the graph
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FileCheck().check("Tensor = prim::Functional").check_next("aten::add").run(graph)
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# z + 1, z.add_(2) considered non functional, z = z * z should be considered functional
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FileCheck().check("add").check("add_").check_not("mul").check("FunctionalGraph").run(graph)
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