torch-mlir/include/npcomp/Dialect/Torch/IR/GeneratedAtenOps.td

//===-------------------------------------------------------*- tablegen -*-===//
//
// This file is licensed under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
// Operation summaries and descriptions were systematically derived from public
// API docstrings and are licensed accordingly:
//   https://github.com/pytorch/pytorch/blob/master/LICENSE
//===----------------------------------------------------------------------===//
//
// This file is automatically generated.  Please do not edit.
// Generated via:
//   python -m torch_mlir_utils.codegen.torch_ods_gen
//
//===----------------------------------------------------------------------===//

def Torch_AtenTanhOp : Torch_Op<"aten.tanh", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::tanh : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenTanh_Op : Torch_Op<"aten.tanh_", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::tanh_ : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenReluOp : Torch_Op<"aten.relu", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::relu : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenRelu_Op : Torch_Op<"aten.relu_", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::relu_ : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenSinOp : Torch_Op<"aten.sin", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::sin : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenSin_Op : Torch_Op<"aten.sin_", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::sin_ : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenExpOp : Torch_Op<"aten.exp", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::exp : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenExp_Op : Torch_Op<"aten.exp_", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::exp_ : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenCosOp : Torch_Op<"aten.cos", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::cos : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenCos_Op : Torch_Op<"aten.cos_", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::cos_ : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenNegOp : Torch_Op<"aten.neg", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::neg : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenNeg_Op : Torch_Op<"aten.neg_", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::neg_ : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenBitwiseNotOp : Torch_Op<"aten.bitwise_not", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::bitwise_not : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenBitwiseNot_Op : Torch_Op<"aten.bitwise_not_", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::bitwise_not_ : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenAddTensorOp : Torch_Op<"aten.add.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::add.Tensor : (Tensor, Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenAdd_TensorOp : Torch_Op<"aten.add_.Tensor", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::add_.Tensor : (Tensor, Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenSubTensorOp : Torch_Op<"aten.sub.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::sub.Tensor : (Tensor, Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenSub_TensorOp : Torch_Op<"aten.sub_.Tensor", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::sub_.Tensor : (Tensor, Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenMulTensorOp : Torch_Op<"aten.mul.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::mul.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenMul_TensorOp : Torch_Op<"aten.mul_.Tensor", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::mul_.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenDivTensorOp : Torch_Op<"aten.div.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::div.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenDiv_TensorOp : Torch_Op<"aten.div_.Tensor", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::div_.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenLerpTensorOp : Torch_Op<"aten.lerp.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::lerp.Tensor : (Tensor, Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$end,
    AnyTorchTensorType:$weight
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $end `,` $weight attr-dict `:` type($self) `,` type($end) `,` type($weight) `->` type($result)";
}

def Torch_AtenLerp_TensorOp : Torch_Op<"aten.lerp_.Tensor", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::lerp_.Tensor : (Tensor, Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$end,
    AnyTorchTensorType:$weight
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $end `,` $weight attr-dict `:` type($self) `,` type($end) `,` type($weight) `->` type($result)";
}

def Torch_AtenEqTensorOp : Torch_Op<"aten.eq.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::eq.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenEq_TensorOp : Torch_Op<"aten.eq_.Tensor", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::eq_.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenNeTensorOp : Torch_Op<"aten.ne.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::ne.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenNe_TensorOp : Torch_Op<"aten.ne_.Tensor", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::ne_.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenAddScalarOp : Torch_Op<"aten.add.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::add.Scalar : (Tensor, Scalar, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenAdd_ScalarOp : Torch_Op<"aten.add_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::add_.Scalar : (Tensor, Scalar, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenSubScalarOp : Torch_Op<"aten.sub.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::sub.Scalar : (Tensor, Scalar, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenSub_ScalarOp : Torch_Op<"aten.sub_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::sub_.Scalar : (Tensor, Scalar, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other,
    AnyTorchScalarType:$alpha
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $alpha attr-dict `:` type($self) `,` type($other) `,` type($alpha) `->` type($result)";
}

def Torch_AtenMulScalarOp : Torch_Op<"aten.mul.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::mul.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenMul_ScalarOp : Torch_Op<"aten.mul_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::mul_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenDivScalarOp : Torch_Op<"aten.div.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::div.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenDiv_ScalarOp : Torch_Op<"aten.div_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::div_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenNeScalarOp : Torch_Op<"aten.ne.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::ne.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenNe_ScalarOp : Torch_Op<"aten.ne_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::ne_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenEqScalarOp : Torch_Op<"aten.eq.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::eq.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenEq_ScalarOp : Torch_Op<"aten.eq_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::eq_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenGtScalarOp : Torch_Op<"aten.gt.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::gt.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenGt_ScalarOp : Torch_Op<"aten.gt_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::gt_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenGeScalarOp : Torch_Op<"aten.ge.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::ge.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenGe_ScalarOp : Torch_Op<"aten.ge_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::ge_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenFmodScalarOp : Torch_Op<"aten.fmod.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::fmod.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenFmod_ScalarOp : Torch_Op<"aten.fmod_.Scalar", [
    IsTrailingUnderscoreInplaceVariant,
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::fmod_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenLinearOp : Torch_Op<"aten.linear", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::linear : (Tensor, Tensor, Tensor?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$input,
    AnyTorchTensorType:$weight,
    AnyTorchOptionalTensorType:$bias
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$input `,` $weight `,` $bias attr-dict `:` type($input) `,` type($weight) `,` type($bias) `->` type($result)";
}

def Torch_AtenMmOp : Torch_Op<"aten.mm", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::mm : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$mat2
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $mat2 attr-dict `:` type($self) `,` type($mat2) `->` type($result)";
}

def Torch_AtenConv2dOp : Torch_Op<"aten.conv2d", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::conv2d : (Tensor, Tensor, Tensor?, int[], int[], int[], int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$input,
    AnyTorchTensorType:$weight,
    AnyTorchOptionalTensorType:$bias,
    TorchIntListType:$stride,
    TorchIntListType:$padding,
    TorchIntListType:$dilation,
    Torch_IntType:$groups
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$input `,` $weight `,` $bias `,` $stride `,` $padding `,` $dilation `,` $groups attr-dict `:` type($input) `,` type($weight) `,` type($bias) `,` type($stride) `,` type($padding) `,` type($dilation) `,` type($groups) `->` type($result)";
}

def Torch_AtenBatchNormOp : Torch_Op<"aten.batch_norm", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::batch_norm : (Tensor, Tensor?, Tensor?, Tensor?, Tensor?, bool, float, float, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$input,
    AnyTorchOptionalTensorType:$weight,
    AnyTorchOptionalTensorType:$bias,
    AnyTorchOptionalTensorType:$running_mean,
    AnyTorchOptionalTensorType:$running_var,
    Torch_BoolType:$training,
    Torch_FloatType:$momentum,
    Torch_FloatType:$eps,
    Torch_BoolType:$cudnn_enabled
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$input `,` $weight `,` $bias `,` $running_mean `,` $running_var `,` $training `,` $momentum `,` $eps `,` $cudnn_enabled attr-dict `:` type($input) `,` type($weight) `,` type($bias) `,` type($running_mean) `,` type($running_var) `,` type($training) `,` type($momentum) `,` type($eps) `,` type($cudnn_enabled) `->` type($result)";
}

def Torch_AtenMaxPool2dOp : Torch_Op<"aten.max_pool2d", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::max_pool2d : (Tensor, int[], int[], int[], int[], bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$kernel_size,
    TorchIntListType:$stride,
    TorchIntListType:$padding,
    TorchIntListType:$dilation,
    Torch_BoolType:$ceil_mode
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $kernel_size `,` $stride `,` $padding `,` $dilation `,` $ceil_mode attr-dict `:` type($self) `,` type($kernel_size) `,` type($stride) `,` type($padding) `,` type($dilation) `,` type($ceil_mode) `->` type($result)";
}

def Torch_AtenAdaptiveAvgPool2dOp : Torch_Op<"aten.adaptive_avg_pool2d", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::adaptive_avg_pool2d : (Tensor, int[]) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$output_size
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $output_size attr-dict `:` type($self) `,` type($output_size) `->` type($result)";
}

def Torch_AtenTopkOp : Torch_Op<"aten.topk", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::topk : (Tensor, int, int, bool, bool) -> (Tensor, Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$k,
    Torch_IntType:$dim,
    Torch_BoolType:$largest,
    Torch_BoolType:$sorted
  );
  let results = (outs
    AnyTorchTensorType:$values,
    AnyTorchTensorType:$indices
  );
  let assemblyFormat = "$self `,` $k `,` $dim `,` $largest `,` $sorted attr-dict `:` type($self) `,` type($k) `,` type($dim) `,` type($largest) `,` type($sorted) `->` type($values) `,` type($indices)";
}

def Torch_AtenTransposeIntOp : Torch_Op<"aten.transpose.int", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::transpose.int : (Tensor, int, int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim0,
    Torch_IntType:$dim1
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim0 `,` $dim1 attr-dict `:` type($self) `,` type($dim0) `,` type($dim1) `->` type($result)";
}

def Torch_AtenBmmOp : Torch_Op<"aten.bmm", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::bmm : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$mat2
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $mat2 attr-dict `:` type($self) `,` type($mat2) `->` type($result)";
}

def Torch_AtenCumsumOp : Torch_Op<"aten.cumsum", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::cumsum : (Tensor, int, int?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim,
    TorchOptionalIntType:$dtype
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $dtype attr-dict `:` type($self) `,` type($dim) `,` type($dtype) `->` type($result)";
}

def Torch_AtenFloorDivideScalarOp : Torch_Op<"aten.floor_divide.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::floor_divide.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenLogsumexpOp : Torch_Op<"aten.logsumexp", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::logsumexp : (Tensor, int[], bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$dim,
    Torch_BoolType:$keepdim
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $keepdim attr-dict `:` type($self) `,` type($dim) `,` type($keepdim) `->` type($result)";
}

def Torch_AtenMeanDimOp : Torch_Op<"aten.mean.dim", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::mean.dim : (Tensor, int[], bool, int?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$dim,
    Torch_BoolType:$keepdim,
    TorchOptionalIntType:$dtype
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $keepdim `,` $dtype attr-dict `:` type($self) `,` type($dim) `,` type($keepdim) `,` type($dtype) `->` type($result)";
}

def Torch_Aten__And__TensorOp : Torch_Op<"aten.__and__.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::__and__.Tensor : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenUnsqueezeOp : Torch_Op<"aten.unsqueeze", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::unsqueeze : (Tensor, int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim attr-dict `:` type($self) `,` type($dim) `->` type($result)";
}

def Torch_AtenFlattenUsingIntsOp : Torch_Op<"aten.flatten.using_ints", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::flatten.using_ints : (Tensor, int, int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$start_dim,
    Torch_IntType:$end_dim
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $start_dim `,` $end_dim attr-dict `:` type($self) `,` type($start_dim) `,` type($end_dim) `->` type($result)";
}

def Torch_AtenDimOp : Torch_Op<"aten.dim", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::dim : (Tensor) -> (int)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenSizeOp : Torch_Op<"aten.size", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::size : (Tensor) -> (int[])`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    TorchIntListType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
  let hasCanonicalizer = 1;
}

def Torch_AtenFill_ScalarOp : Torch_Op<"aten.fill_.Scalar", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::fill_.Scalar : (Tensor, Scalar) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchScalarType:$value
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $value attr-dict `:` type($self) `,` type($value) `->` type($result)";
}

def Torch_AtenBoolTensorOp : Torch_Op<"aten.Bool.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::Bool.Tensor : (Tensor) -> (bool)`";
  let arguments = (ins
    AnyTorchTensorType:$a
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
}

def Torch_AtenOnesOp : Torch_Op<"aten.ones", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::ones : (int[], int?, int?, Device?, bool?) -> (Tensor)`";
  let arguments = (ins
    TorchIntListType:$size,
    TorchOptionalIntType:$dtype,
    TorchOptionalIntType:$layout,
    TorchOptionalDeviceType:$device,
    TorchOptionalBoolType:$pin_memory
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$size `,` $dtype `,` $layout `,` $device `,` $pin_memory attr-dict `:` type($size) `,` type($dtype) `,` type($layout) `,` type($device) `,` type($pin_memory) `->` type($result)";
}

def Torch_AtenZerosOp : Torch_Op<"aten.zeros", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::zeros : (int[], int?, int?, Device?, bool?) -> (Tensor)`";
  let arguments = (ins
    TorchIntListType:$size,
    TorchOptionalIntType:$dtype,
    TorchOptionalIntType:$layout,
    TorchOptionalDeviceType:$device,
    TorchOptionalBoolType:$pin_memory
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$size `,` $dtype `,` $layout `,` $device `,` $pin_memory attr-dict `:` type($size) `,` type($dtype) `,` type($layout) `,` type($device) `,` type($pin_memory) `->` type($result)";
}

def Torch_AtenTensorOp : Torch_Op<"aten.tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::tensor : (t[], int?, Device?, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchListType:$data,
    TorchOptionalIntType:$dtype,
    TorchOptionalDeviceType:$device,
    Torch_BoolType:$requires_grad
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$data `,` $dtype `,` $device `,` $requires_grad attr-dict `:` type($data) `,` type($dtype) `,` type($device) `,` type($requires_grad) `->` type($result)";
}

def Torch_AtenTensorBoolOp : Torch_Op<"aten.tensor.bool", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::tensor.bool : (bool, int?, Device?, bool) -> (Tensor)`";
  let arguments = (ins
    Torch_BoolType:$t,
    TorchOptionalIntType:$dtype,
    TorchOptionalDeviceType:$device,
    Torch_BoolType:$requires_grad
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$t `,` $dtype `,` $device `,` $requires_grad attr-dict `:` type($t) `,` type($dtype) `,` type($device) `,` type($requires_grad) `->` type($result)";
}

def Torch_AtenTensorIntOp : Torch_Op<"aten.tensor.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::tensor.int : (int, int?, Device?, bool) -> (Tensor)`";
  let arguments = (ins
    Torch_IntType:$t,
    TorchOptionalIntType:$dtype,
    TorchOptionalDeviceType:$device,
    Torch_BoolType:$requires_grad
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$t `,` $dtype `,` $device `,` $requires_grad attr-dict `:` type($t) `,` type($dtype) `,` type($device) `,` type($requires_grad) `->` type($result)";
}

def Torch_Aten_ShapeAsTensorOp : Torch_Op<"aten._shape_as_tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::_shape_as_tensor : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenAllOp : Torch_Op<"aten.all", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::all : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenAnyOp : Torch_Op<"aten.any", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::any : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenAnyDimOp : Torch_Op<"aten.any.dim", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::any.dim : (Tensor, int, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim,
    Torch_BoolType:$keepdim
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $keepdim attr-dict `:` type($self) `,` type($dim) `,` type($keepdim) `->` type($result)";
}

def Torch_AtenArangeOp : Torch_Op<"aten.arange", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::arange : (Scalar, int?, int?, Device?, bool?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchScalarType:$end,
    TorchOptionalIntType:$dtype,
    TorchOptionalIntType:$layout,
    TorchOptionalDeviceType:$device,
    TorchOptionalBoolType:$pin_memory
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$end `,` $dtype `,` $layout `,` $device `,` $pin_memory attr-dict `:` type($end) `,` type($dtype) `,` type($layout) `,` type($device) `,` type($pin_memory) `->` type($result)";
}

def Torch_AtenArangeStartOp : Torch_Op<"aten.arange.start", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::arange.start : (Scalar, Scalar, int?, int?, Device?, bool?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchScalarType:$start,
    AnyTorchScalarType:$end,
    TorchOptionalIntType:$dtype,
    TorchOptionalIntType:$layout,
    TorchOptionalDeviceType:$device,
    TorchOptionalBoolType:$pin_memory
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$start `,` $end `,` $dtype `,` $layout `,` $device `,` $pin_memory attr-dict `:` type($start) `,` type($end) `,` type($dtype) `,` type($layout) `,` type($device) `,` type($pin_memory) `->` type($result)";
}

def Torch_AtenContiguousOp : Torch_Op<"aten.contiguous", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::contiguous : (Tensor, int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$memory_format
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $memory_format attr-dict `:` type($self) `,` type($memory_format) `->` type($result)";
}

def Torch_AtenCopy_Op : Torch_Op<"aten.copy_", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::copy_ : (Tensor, Tensor, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$src,
    Torch_BoolType:$non_blocking
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $src `,` $non_blocking attr-dict `:` type($self) `,` type($src) `,` type($non_blocking) `->` type($result)";
}

def Torch_AtenDetachOp : Torch_Op<"aten.detach", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::detach : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenEmbeddingOp : Torch_Op<"aten.embedding", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::embedding : (Tensor, Tensor, int, bool, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$weight,
    AnyTorchTensorType:$indices,
    Torch_IntType:$padding_idx,
    Torch_BoolType:$scale_grad_by_freq,
    Torch_BoolType:$sparse
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$weight `,` $indices `,` $padding_idx `,` $scale_grad_by_freq `,` $sparse attr-dict `:` type($weight) `,` type($indices) `,` type($padding_idx) `,` type($scale_grad_by_freq) `,` type($sparse) `->` type($result)";
}

def Torch_AtenEmptyMemoryFormatOp : Torch_Op<"aten.empty.memory_format", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::empty.memory_format : (int[], int?, int?, Device?, bool?, int?) -> (Tensor)`";
  let arguments = (ins
    TorchIntListType:$size,
    TorchOptionalIntType:$dtype,
    TorchOptionalIntType:$layout,
    TorchOptionalDeviceType:$device,
    TorchOptionalBoolType:$pin_memory,
    TorchOptionalIntType:$memory_format
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$size `,` $dtype `,` $layout `,` $device `,` $pin_memory `,` $memory_format attr-dict `:` type($size) `,` type($dtype) `,` type($layout) `,` type($device) `,` type($pin_memory) `,` type($memory_format) `->` type($result)";
}

def Torch_AtenExpandOp : Torch_Op<"aten.expand", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::expand : (Tensor, int[], bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$size,
    Torch_BoolType:$implicit
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $size `,` $implicit attr-dict `:` type($self) `,` type($size) `,` type($implicit) `->` type($result)";
}

def Torch_AtenIndexTensorOp : Torch_Op<"aten.index.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::index.Tensor : (Tensor, Tensor?[]) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchOptionalTensorListType:$indices
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $indices attr-dict `:` type($self) `,` type($indices) `->` type($result)";
}

def Torch_AtenIndexPut_Op : Torch_Op<"aten.index_put_", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::index_put_ : (Tensor, Tensor?[], Tensor, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchOptionalTensorListType:$indices,
    AnyTorchTensorType:$values,
    Torch_BoolType:$accumulate
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $indices `,` $values `,` $accumulate attr-dict `:` type($self) `,` type($indices) `,` type($values) `,` type($accumulate) `->` type($result)";
}

def Torch_AtenIndexSelectOp : Torch_Op<"aten.index_select", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::index_select : (Tensor, int, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim,
    AnyTorchTensorType:$index
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $index attr-dict `:` type($self) `,` type($dim) `,` type($index) `->` type($result)";
}

def Torch_AtenItemOp : Torch_Op<"aten.item", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::item : (Tensor) -> (Scalar)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchScalarType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenMaskedSelectOp : Torch_Op<"aten.masked_select", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::masked_select : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$mask
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $mask attr-dict `:` type($self) `,` type($mask) `->` type($result)";
}

def Torch_AtenNumelOp : Torch_Op<"aten.numel", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::numel : (Tensor) -> (int)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenRepeatOp : Torch_Op<"aten.repeat", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::repeat : (Tensor, int[]) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$repeats
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $repeats attr-dict `:` type($self) `,` type($repeats) `->` type($result)";
}

def Torch_AtenResize_Op : Torch_Op<"aten.resize_", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::resize_ : (Tensor, int[], int?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$size,
    TorchOptionalIntType:$memory_format
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $size `,` $memory_format attr-dict `:` type($self) `,` type($size) `,` type($memory_format) `->` type($result)";
}

def Torch_AtenSelectIntOp : Torch_Op<"aten.select.int", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::select.int : (Tensor, int, int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim,
    Torch_IntType:$index
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $index attr-dict `:` type($self) `,` type($dim) `,` type($index) `->` type($result)";
}

def Torch_AtenSizeIntOp : Torch_Op<"aten.size.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::size.int : (Tensor, int) -> (int)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$self `,` $dim attr-dict `:` type($self) `,` type($dim) `->` type($result)";
}

def Torch_AtenStackOp : Torch_Op<"aten.stack", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::stack : (Tensor[], int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorListType:$tensors,
    Torch_IntType:$dim
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$tensors `,` $dim attr-dict `:` type($tensors) `,` type($dim) `->` type($result)";
}

def Torch_AtenSumDimIntListOp : Torch_Op<"aten.sum.dim_IntList", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::sum.dim_IntList : (Tensor, int[], bool, int?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$dim,
    Torch_BoolType:$keepdim,
    TorchOptionalIntType:$dtype
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $keepdim `,` $dtype attr-dict `:` type($self) `,` type($dim) `,` type($keepdim) `,` type($dtype) `->` type($result)";
}

def Torch_AtenToDtypeOp : Torch_Op<"aten.to.dtype", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::to.dtype : (Tensor, int, bool, bool, int?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dtype,
    Torch_BoolType:$non_blocking,
    Torch_BoolType:$copy,
    TorchOptionalIntType:$memory_format
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dtype `,` $non_blocking `,` $copy `,` $memory_format attr-dict `:` type($self) `,` type($dtype) `,` type($non_blocking) `,` type($copy) `,` type($memory_format) `->` type($result)";
}

def Torch_AtenToOtherOp : Torch_Op<"aten.to.other", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::to.other : (Tensor, Tensor, bool, bool, int?) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other,
    Torch_BoolType:$non_blocking,
    Torch_BoolType:$copy,
    TorchOptionalIntType:$memory_format
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other `,` $non_blocking `,` $copy `,` $memory_format attr-dict `:` type($self) `,` type($other) `,` type($non_blocking) `,` type($copy) `,` type($memory_format) `->` type($result)";
}

def Torch_AtenToPrimDeviceOp : Torch_Op<"aten.to.prim_Device", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::to.prim_Device : (Tensor, Device?, int?, bool, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchOptionalDeviceType:$device,
    TorchOptionalIntType:$dtype,
    Torch_BoolType:$non_blocking,
    Torch_BoolType:$copy
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $device `,` $dtype `,` $non_blocking `,` $copy attr-dict `:` type($self) `,` type($device) `,` type($dtype) `,` type($non_blocking) `,` type($copy) `->` type($result)";
}

def Torch_AtenTypeAsOp : Torch_Op<"aten.type_as", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::type_as : (Tensor, Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    AnyTorchTensorType:$other
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $other attr-dict `:` type($self) `,` type($other) `->` type($result)";
}

def Torch_AtenViewOp : Torch_Op<"aten.view", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::view : (Tensor, int[]) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    TorchIntListType:$size
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $size attr-dict `:` type($self) `,` type($size) `->` type($result)";
}

def Torch_AtenSliceTensorOp : Torch_Op<"aten.slice.Tensor", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::slice.Tensor : (Tensor, int, int?, int?, int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim,
    TorchOptionalIntType:$start,
    TorchOptionalIntType:$end,
    Torch_IntType:$step
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $start `,` $end `,` $step attr-dict `:` type($self) `,` type($dim) `,` type($start) `,` type($end) `,` type($step) `->` type($result)";
}

def Torch_AtenLenTensorOp : Torch_Op<"aten.len.Tensor", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::len.Tensor : (Tensor) -> (int)`";
  let arguments = (ins
    AnyTorchTensorType:$t
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$t attr-dict `:` type($t) `->` type($result)";
}

def Torch_AtenCpuOp : Torch_Op<"aten.cpu", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::cpu : (Tensor) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenGatherOp : Torch_Op<"aten.gather", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::gather : (Tensor, int, Tensor, bool) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorType:$self,
    Torch_IntType:$dim,
    AnyTorchTensorType:$index,
    Torch_BoolType:$sparse_grad
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$self `,` $dim `,` $index `,` $sparse_grad attr-dict `:` type($self) `,` type($dim) `,` type($index) `,` type($sparse_grad) `->` type($result)";
}

def Torch_AtenIntImplicitOp : Torch_Op<"aten.IntImplicit", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::IntImplicit : (Tensor) -> (int)`";
  let arguments = (ins
    AnyTorchTensorType:$a
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
}

def Torch_Aten__Contains__StrOp : Torch_Op<"aten.__contains__.str", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::__contains__.str : (Dict(str, t), str) -> (bool)`";
  let arguments = (ins
    Torch_DictType:$dict,
    Torch_StringType:$key
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$dict `,` $key attr-dict `:` type($dict) `,` type($key) `->` type($result)";
}

def Torch_Aten__Getitem__DictStrOp : Torch_Op<"aten.__getitem__.Dict_str", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::__getitem__.Dict_str : (Dict(str, t), str) -> (t)`";
  let arguments = (ins
    Torch_DictType:$self,
    Torch_StringType:$key
  );
  let results = (outs
    AnyTorchType:$result
  );
  let assemblyFormat = "$self `,` $key attr-dict `:` type($self) `,` type($key) `->` type($result)";
}

def Torch_Aten_SetItemStrOp : Torch_Op<"aten._set_item.str", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::_set_item.str : (Dict(str, t), str, t) -> ()`";
  let arguments = (ins
    Torch_DictType:$l,
    Torch_StringType:$idx,
    AnyTorchType:$v
  );
  let results = (outs
  );
  let assemblyFormat = "$l `,` $idx `,` $v attr-dict `:` type($l) `,` type($idx) `,` type($v)";
}

def Torch_AtenKeysStrOp : Torch_Op<"aten.keys.str", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::keys.str : (Dict(str, t)) -> (str[])`";
  let arguments = (ins
    Torch_DictType:$self
  );
  let results = (outs
    TorchStringListType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
}

def Torch_AtenGetDefaultStrOp : Torch_Op<"aten.get.default_str", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::get.default_str : (Dict(str, t), str, t) -> (t)`";
  let arguments = (ins
    Torch_DictType:$self,
    Torch_StringType:$key,
    AnyTorchType:$default_value
  );
  let results = (outs
    AnyTorchType:$result
  );
  let assemblyFormat = "$self `,` $key `,` $default_value attr-dict `:` type($self) `,` type($key) `,` type($default_value) `->` type($result)";
}

def Torch_AtenCatOp : Torch_Op<"aten.cat", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::cat : (Tensor[], int) -> (Tensor)`";
  let arguments = (ins
    AnyTorchTensorListType:$tensors,
    Torch_IntType:$dim
  );
  let results = (outs
    AnyTorchTensorType:$result
  );
  let assemblyFormat = "$tensors `,` $dim attr-dict `:` type($tensors) `,` type($dim) `->` type($result)";
}

def Torch_AtenAppendTOp : Torch_Op<"aten.append.t", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::append.t : (t[], t) -> (t[])`";
  let arguments = (ins
    AnyTorchListType:$self,
    AnyTorchType:$el
  );
  let results = (outs
    AnyTorchListType:$result
  );
  let assemblyFormat = "$self `,` $el attr-dict `:` type($self) `,` type($el) `->` type($result)";
}

def Torch_AtenAddTOp : Torch_Op<"aten.add.t", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::add.t : (t[], t[]) -> (t[])`";
  let arguments = (ins
    AnyTorchListType:$a,
    AnyTorchListType:$b
  );
  let results = (outs
    AnyTorchListType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenEqIntListOp : Torch_Op<"aten.eq.int_list", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::eq.int_list : (int[], int[]) -> (bool)`";
  let arguments = (ins
    TorchIntListType:$a,
    TorchIntListType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenListTOp : Torch_Op<"aten.list.t", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::list.t : (t[]) -> (t[])`";
  let arguments = (ins
    AnyTorchListType:$l
  );
  let results = (outs
    AnyTorchListType:$result
  );
  let assemblyFormat = "$l attr-dict `:` type($l) `->` type($result)";
}

def Torch_AtenSliceTOp : Torch_Op<"aten.slice.t", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::slice.t : (t[], int?, int?, int) -> (t[])`";
  let arguments = (ins
    AnyTorchListType:$l,
    TorchOptionalIntType:$start,
    TorchOptionalIntType:$end,
    Torch_IntType:$step
  );
  let results = (outs
    AnyTorchListType:$result
  );
  let assemblyFormat = "$l `,` $start `,` $end `,` $step attr-dict `:` type($l) `,` type($start) `,` type($end) `,` type($step) `->` type($result)";
}

def Torch_AtenAddStrOp : Torch_Op<"aten.add.str", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::add.str : (str, str) -> (str)`";
  let arguments = (ins
    Torch_StringType:$a,
    Torch_StringType:$b
  );
  let results = (outs
    Torch_StringType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenStrOp : Torch_Op<"aten.str", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::str : (t) -> (str)`";
  let arguments = (ins
    AnyTorchType:$elem
  );
  let results = (outs
    Torch_StringType:$result
  );
  let assemblyFormat = "$elem attr-dict `:` type($elem) `->` type($result)";
}

def Torch_AtenFormatOp : Torch_Op<"aten.format", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::format : (...) -> (str)`";
  let arguments = (ins
    Variadic<AnyTorchType>:$operands
  );
  let results = (outs
    Torch_StringType:$result
  );
  let assemblyFormat = "`(` $operands `)` attr-dict `:` type($operands) `->` type($result)";
}

def Torch_AtenJoinOp : Torch_Op<"aten.join", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::join : (str, str[]) -> (str)`";
  let arguments = (ins
    Torch_StringType:$self,
    TorchStringListType:$values
  );
  let results = (outs
    Torch_StringType:$result
  );
  let assemblyFormat = "$self `,` $values attr-dict `:` type($self) `,` type($values) `->` type($result)";
}

def Torch_AtenFloatScalarOp : Torch_Op<"aten.Float.Scalar", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::Float.Scalar : (Scalar) -> (float)`";
  let arguments = (ins
    AnyTorchScalarType:$a
  );
  let results = (outs
    Torch_FloatType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
}

def Torch_AtenFloatStrOp : Torch_Op<"aten.Float.str", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::Float.str : (str) -> (float)`";
  let arguments = (ins
    Torch_StringType:$a
  );
  let results = (outs
    Torch_FloatType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
}

def Torch_AtenIntFloatOp : Torch_Op<"aten.Int.float", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::Int.float : (float) -> (int)`";
  let arguments = (ins
    Torch_FloatType:$a
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
}

def Torch_AtenGtIntOp : Torch_Op<"aten.gt.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::gt.int : (int, int) -> (bool)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenGeIntOp : Torch_Op<"aten.ge.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::ge.int : (int, int) -> (bool)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenLtIntOp : Torch_Op<"aten.lt.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::lt.int : (int, int) -> (bool)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenLeIntOp : Torch_Op<"aten.le.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::le.int : (int, int) -> (bool)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenNeIntOp : Torch_Op<"aten.ne.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::ne.int : (int, int) -> (bool)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenEqIntOp : Torch_Op<"aten.eq.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::eq.int : (int, int) -> (bool)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenFloordivIntOp : Torch_Op<"aten.floordiv.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::floordiv.int : (int, int) -> (int)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenRemainderIntOp : Torch_Op<"aten.remainder.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::remainder.int : (int, int) -> (int)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenAddIntOp : Torch_Op<"aten.add.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::add.int : (int, int) -> (int)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenSubIntOp : Torch_Op<"aten.sub.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::sub.int : (int, int) -> (int)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenMulIntOp : Torch_Op<"aten.mul.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::mul.int : (int, int) -> (int)`";
  let arguments = (ins
    Torch_IntType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenLogIntOp : Torch_Op<"aten.log.int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::log.int : (int) -> (float)`";
  let arguments = (ins
    Torch_IntType:$a
  );
  let results = (outs
    Torch_FloatType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
}

def Torch_AtenAddFloatIntOp : Torch_Op<"aten.add.float_int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::add.float_int : (float, int) -> (float)`";
  let arguments = (ins
    Torch_FloatType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_FloatType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenMulFloatOp : Torch_Op<"aten.mul.float", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::mul.float : (float, float) -> (float)`";
  let arguments = (ins
    Torch_FloatType:$a,
    Torch_FloatType:$b
  );
  let results = (outs
    Torch_FloatType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_AtenNegFloatOp : Torch_Op<"aten.neg.float", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::neg.float : (float) -> (float)`";
  let arguments = (ins
    Torch_FloatType:$a
  );
  let results = (outs
    Torch_FloatType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
}

def Torch_AtenLtFloatIntOp : Torch_Op<"aten.lt.float_int", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::lt.float_int : (float, int) -> (bool)`";
  let arguments = (ins
    Torch_FloatType:$a,
    Torch_IntType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_Aten__And__BoolOp : Torch_Op<"aten.__and__.bool", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::__and__.bool : (bool, bool) -> (bool)`";
  let arguments = (ins
    Torch_BoolType:$a,
    Torch_BoolType:$b
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$a `,` $b attr-dict `:` type($a) `,` type($b) `->` type($result)";
}

def Torch_Aten__Is__Op : Torch_Op<"aten.__is__", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::__is__ : (t1, t2) -> (bool)`";
  let arguments = (ins
    AnyTorchType:$self,
    AnyTorchType:$obj
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$self `,` $obj attr-dict `:` type($self) `,` type($obj) `->` type($result)";
  let hasFolder = 1;
}

def Torch_Aten__Isnot__Op : Torch_Op<"aten.__isnot__", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::__isnot__ : (t1, t2) -> (bool)`";
  let arguments = (ins
    AnyTorchType:$self,
    AnyTorchType:$obj
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$self `,` $obj attr-dict `:` type($self) `,` type($obj) `->` type($result)";
  let hasFolder = 1;
}

def Torch_Aten__Not__Op : Torch_Op<"aten.__not__", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::__not__ : (bool) -> (bool)`";
  let arguments = (ins
    Torch_BoolType:$self
  );
  let results = (outs
    Torch_BoolType:$result
  );
  let assemblyFormat = "$self attr-dict `:` type($self) `->` type($result)";
  let hasFolder = 1;
}

def Torch_AtenLenTOp : Torch_Op<"aten.len.t", [
    AllowsTypeRefinement,
    HasValueSemantics
  ]> {
  let summary = "Generated op for `aten::len.t : (t[]) -> (int)`";
  let arguments = (ins
    AnyTorchListType:$a
  );
  let results = (outs
    Torch_IntType:$result
  );
  let assemblyFormat = "$a attr-dict `:` type($a) `->` type($result)";
  let hasFolder = 1;
  let hasCanonicalizer = 1;
}

def Torch_Aten__Getitem__TOp : Torch_Op<"aten.__getitem__.t", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::__getitem__.t : (t[], int) -> (t)`";
  let arguments = (ins
    AnyTorchListType:$list,
    Torch_IntType:$idx
  );
  let results = (outs
    AnyTorchType:$result
  );
  let assemblyFormat = "$list `,` $idx attr-dict `:` type($list) `,` type($idx) `->` type($result)";
  let hasCanonicalizer = 1;
}

def Torch_Aten_SetItemTOp : Torch_Op<"aten._set_item.t", [
    AllowsTypeRefinement
  ]> {
  let summary = "Generated op for `aten::_set_item.t : (t[], int, t) -> (t[])`";
  let arguments = (ins
    AnyTorchListType:$l,
    Torch_IntType:$idx,
    AnyTorchType:$el
  );
  let results = (outs
    AnyTorchListType:$result
  );
  let assemblyFormat = "$l `,` $idx `,` $el attr-dict `:` type($l) `,` type($idx) `,` type($el) `->` type($result)";
}