# -*- 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() # Interesting test case, where a function calls a method. # CHECK-LABEL: func private @__torch__.TestModule.forward # CHECK-SAME: (%[[ARG0:.*]]: !torch.nn.Module<"__torch__.TestModule">, %[[ARG1:.*]]: !torch.tensor) -> !basicpy.NoneType { # CHECK: %[[F:.*]] = constant @__torch__.calls_method : (!torch.nn.Module<"__torch__.TestModule">, !torch.tensor) -> !basicpy.NoneType # CHECK: %[[RET:.*]] = call_indirect %[[F]](%[[ARG0]], %[[ARG1]]) : (!torch.nn.Module<"__torch__.TestModule">, !torch.tensor) -> !basicpy.NoneType # CHECK: return %[[RET]] : !basicpy.NoneType # CHECK: } # CHECK-LABEL: func private @__torch__.TestModule.method # CHECK-SAME: (%[[ARG0:.*]]: !torch.nn.Module<"__torch__.TestModule">, %[[ARG1:.*]]: !torch.tensor) -> !basicpy.NoneType { # CHECK: %[[RET:.*]] = basicpy.singleton : !basicpy.NoneType # CHECK: return %[[RET]] : !basicpy.NoneType # CHECK: } # CHECK-LABEL: func private @__torch__.calls_method # CHECK-SAME: (%[[ARG0:.*]]: !torch.nn.Module<"__torch__.TestModule">, %[[ARG1:.*]]: !torch.tensor) -> !basicpy.NoneType { # CHECK: %[[RET:.*]] = torch.prim.CallMethod %[[ARG0]]["method"] (%[[ARG1]]) : !torch.nn.Module<"__torch__.TestModule">, (!torch.tensor) -> !basicpy.NoneType # CHECK: return %[[RET]] : !basicpy.NoneType # CHECK: } def calls_method(c: 'TestModule', x): return c.method(x) class TestModule(torch.nn.Module): def __init__(self): super().__init__() def forward(self, x): return calls_method(self, x) @torch.jit.export # Needed so that scripting sees it. def method(self, x): return 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()