54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
# Owner(s): ["oncall: jit"]
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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.common_utils import raise_on_run_directly
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from torch.testing._internal.jit_utils import JitTestCase
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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(
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r"%x"
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).run(graph)
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FileCheck().check(r"%y").check_not(r"%y").check("FunctionalGraph").check(
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r"%y"
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).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(
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graph
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)
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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(
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"FunctionalGraph"
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).run(graph)
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if __name__ == "__main__":
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raise_on_run_directly("test/test_jit.py")
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