mirror of https://github.com/llvm/torch-mlir
53 lines
1.7 KiB
Python
53 lines
1.7 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 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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class TestModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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self.s0 = Submodule(0)
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self.s1 = Submodule(1)
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# CHECK: %[[T:.*]] = basicpy.bool_constant true
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# CHECK: %[[T1:.*]] = basicpy.bool_constant true
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# CHECK: %[[N0:.*]] = basicpy.numeric_constant 0 : i64
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# CHECK: %[[S0:.*]] = torch.nn_module {
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# CHECK: torch.attr "training", %[[T1]] : !basicpy.BoolType
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# CHECK: torch.attr "n", %[[N0]] : i64
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# CHECK: }
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# CHECK: %[[T2:.*]] = basicpy.bool_constant true
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# CHECK: %[[N1:.*]] = basicpy.numeric_constant 1 : i64
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# CHECK: %[[S1:.*]] = torch.nn_module {
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# CHECK: torch.attr "training", %[[T2]] : !basicpy.BoolType
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# CHECK: torch.attr "n", %[[N1]] : i64
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# CHECK: }
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# CHECK: %[[ROOT:.*]] = torch.nn_module {
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# CHECK: torch.attr "training", %[[T]] : !basicpy.BoolType
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# CHECK: torch.attr "s0", %[[S0]] : !torch.nn.Module
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# CHECK: torch.attr "s1", %[[S1]] : !torch.nn.Module
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# CHECK: }
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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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