mirror of https://github.com/llvm/torch-mlir
34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
# -*- 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 TestModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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self.t = (1, 2)
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# CHECK: torch.class_type @[[CLASSTYPE:.*]] {
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# TODO: Don't lose element type.
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# CHECK: }
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# CHECK: %[[N1:.*]] = basicpy.numeric_constant 1 : i64
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# CHECK: %[[N2:.*]] = basicpy.numeric_constant 2 : i64
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# CHECK: %[[TUPLE:.*]] = basicpy.build_tuple %[[N1]], %[[N2]] : (i64, i64) -> !basicpy.TupleType
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# CHECK: torch.nn_module {
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# CHECK: torch.slot "t", %[[TUPLE]] : !basicpy.TupleType
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# CHECK: } : !torch.nn.Module<"[[CLASSTYPE]]">
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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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