torch-mlir/frontends/pytorch/test/ivalue_import/tuple.py

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# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
import typing
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()
class TestModule(torch.nn.Module):
def __init__(self):
super().__init__()
self.t = (1, 2)
# CHECK: torch.class_type @[[CLASSTYPE:.*]] {
# TODO: Don't lose element type.
# CHECK: }
# CHECK: %[[N1:.*]] = basicpy.numeric_constant 1 : i64
# CHECK: %[[N2:.*]] = basicpy.numeric_constant 2 : i64
# CHECK: %[[TUPLE:.*]] = torch.prim.TupleConstruct %[[N1]], %[[N2]] : i64, i64
# CHECK: torch.nn_module {
# CHECK: torch.slot "t", %[[TUPLE]] : !torch.tuple<i64, i64>
# CHECK: } : !torch.nn.Module<"[[CLASSTYPE]]">
test_module = TestModule()
recursivescriptmodule = torch.jit.script(test_module)
# TODO: Automatically handle unpacking Python class RecursiveScriptModule into the underlying ScriptModule.
mb.import_module(recursivescriptmodule._c)
mb.module.operation.print()