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torch-mlir/test/Dialect/ATen/canonicalize.mlir

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Add recognition/folder/lowering for aten::__is__, aten::ne.int, and aten::dim Interestingly, TorchScript has its own op (`torch::jit::Operator`) registry separate from the dispatcher (it is a superset of the dispatcher). This is where the "prim" ops and some "aten" ops (that should probably be renamed to "prim") live. In particular, `aten::__is__` is in that latter category of "aten but really prim". This registry is also the source of truth for what the TorchScript interpreter calls into when it executes. The bulk of the "not part of the dispatcher" ops live in https://github.com/pytorch/pytorch/blob/09feb5f579d40b550559360870907963e20c6954/torch/csrc/jit/runtime/register_prim_ops.cpp#L82 And the registry itself lives in: https://github.com/pytorch/pytorch/blob/09feb5f579d40b550559360870907963e20c6954/torch/csrc/jit/runtime/operator.cpp#L196 This fold further reduces the IR of ResNet by folding away some more not-taken branches. These not-taken branches in ResNet require first-class handling of the list type which we don't yet have on any backend.
2021-04-28 06:15:50 +08:00
// RUN: npcomp-opt %s -canonicalize | FileCheck %s
// CHECK-LABEL: func @aten.__is__
// CHECK: %[[FALSE:.*]] = basicpy.bool_constant false
// CHECK: return %[[FALSE]] : !basicpy.BoolType
func @aten.__is__(%arg0: !basicpy.ListType, %arg1: !basicpy.NoneType) -> !basicpy.BoolType{
%0 = "aten.__is__"(%arg0, %arg1) : (!basicpy.ListType, !basicpy.NoneType) -> !basicpy.BoolType
return %0 : !basicpy.BoolType
}