mirror of https://github.com/llvm/torch-mlir
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
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# -*- Python -*-
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# This file is licensed under a pytorch-style license
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# See frontends/pytorch/LICENSE for license information.
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import typing
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import torch
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import torch_mlir
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# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
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mb = torch_mlir.ModuleBuilder()
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class Submodule(torch.nn.Module):
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def __init__(self, n):
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super().__init__()
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self.n = n
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def forward(self):
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return self.n
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class TestModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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self.s1 = Submodule(1)
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self.s2 = Submodule(2)
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# CHECK-LABEL: func private @{{.*}}TestModule.forward
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def forward(self, b: bool):
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# Modules with the same class can be selected between.
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# CHECK: %[[MOD:.*]] = scf.if
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s = self.s1 if b else self.s2
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# CHECK: %[[N:.*]] = torch.prim.CallMethod %[[MOD]]["forward"] ()
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# CHECK: return %[[N]]
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return s.forward()
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test_module = TestModule()
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recursivescriptmodule = torch.jit.script(test_module)
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# TODO: Automatically handle unpacking Python class RecursiveScriptModule into the underlying ScriptModule.
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mb.import_module(recursivescriptmodule._c)
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mb.module.operation.print()
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