}

	sig.params = NewTuple(params...)
	sig.results = NewTuple(results...)
	sig.variadic = variadic
}

// collectParams declares the parameters of list in scope and returns the corresponding
// variable list.
func (check *Checker) collectParams(scope *Scope, list []*syntax.Field, variadicOk bool, scopePos syntax.Pos) (params []*Var, variadic bool) {
	if list == nil {
		return
	}

	var named, anonymous bool

	}

	sig.params = NewTuple(params...)
	sig.results = NewTuple(results...)
	sig.variadic = variadic
}

// collectParams declares the parameters of list in scope and returns the corresponding
// variable list.
func (check *Checker) collectParams(scope *Scope, list *ast.FieldList, variadicOk bool, scopePos token.Pos) (params []*Var, variadic bool) {
	if list == nil {
		return
	}

	var named, anonymous bool

  }];

  let arguments = (ins
    TFTensorType:$max_iterations,
    Variadic<TFTensorType>:$tensor_list_or_flow_in,
    Variadic<TFTensorType>:$invariant_args,
    FlatSymbolRefAttr:$body_fn,
    I32Attr:$num_tensor_list_or_flow_in
  );

  let results = (outs
     Variadic<TFTensorType>:$result
  );

        (MHLO_CompositeOp:$composite
          (variadic $inputs),
          ConstantStrAttr<StrAttr, "aten.gelu.default">, $attrs, $_, $_),
        (TFL_GeluOp $inputs, ConstBoolAttrFalse),
        [(IsStrCompositeAttribute<"approximate", "none"> $attrs)]>;

def LegalizeCompositeApproximateAtenGELU : Pat<
        (MHLO_CompositeOp:$composite
          (variadic $inputs),

  }];

  let arguments = (ins
    TF_Tensor:$max_iterations,
    Variadic<TF_Tensor>:$tensor_list_or_flow_in,
    Variadic<TF_Tensor>:$invariant_args,
    FlatSymbolRefAttr:$body_fn,
    I32Attr:$num_tensor_list_or_flow_in
  );

  let results = (outs
     Variadic<TF_Tensor>:$result
  );

      input fallback tensors.

    results: the converted corert tensorhandles.
  }];

  let arguments = (ins
    Variadic<TFTensorType>:$args,
    StrAttr:$device
  );

  let results = (outs
    Variadic<CoreRT_TensorHandleType>:$results
  );

  let assemblyFormat = "operands attr-dict `:` `(` type($args) `)` `->` `(` type($results) `)`";
}

    StrAttr:$device,
    FlatSymbolRefAttr:$func,
    Variadic<AnyType>);

  let results = (outs
    Variadic<AnyType>:$results
  );
}

def TfDevice_ParallelExecuteOp : TfDevice_Op<"parallel_execute",
    [SingleBlockImplicitTerminator<"ReturnOp">]> {
  let description = [{
    ParallelExecute op concurrently executes variadic number of regions. Regions

    TF_StrTensor:$names,
    Variadic<TF_StrTensor>:$sparse_keys,
    Variadic<TF_StrTensor>:$dense_keys,
    Variadic<TensorOf<[TF_Float32, TF_Int64, TF_Str]>>:$dense_defaults,

    TF_ShapeAttrArray:$dense_shapes
  );

  let results = (outs
    Variadic<TF_Int64Tensor>:$sparse_indices,                           // len(sparse_types)

    element of `args` is a key to a loaded array corresponding to a variable.
  }];

  let arguments = (ins
    Variadic<TF_Tensor> : $args,
    I64Attr : $program_id,
    I32ArrayAttr : $variable_arg_indices
  );

  let results = (outs Variadic<TF_Tensor> : $results);

  TF_DerivedOperandTypeListAttr Tin = TF_DerivedOperandTypeListAttr<0>;

// A derived attribute that returns the element type of `idx`-th ODS-declared
// operand. If the `idx`-th operand is a variadic operand, then this attribute
// just returns the element type of its first tensor, which is only meaningful
// when the variadic operand has at least one tensor and the tensors all have
// the same element type.
class TF_DerivedOperandTypeAttr<int idx> : DerivedTypeAttr<