// TFL arithmetic count interface.

def TFL_ArithmeticCount : OpInterface<"TflArithmeticCountOpInterface"> {
  let description = [{
    Interface for TFLite ops to calculate arithmetic count (Multiply-Add Count).
  }];

  let methods = [
    StaticInterfaceMethod<
      [{Returns an integer representing the op's arithmetic count (Multiply-Add

LogicalResult VerifyTypeRangesAreCompatible(Operation *op,
                                            TypeRangeWithDesc range0,
                                            TypeRangeWithDesc range1);

// Fold Arithmetic Op if one of the operands is a constant known to be an
// Identity (e.g. X+0, X*1, etc...). For commutative operations fold if
// known identity value is either lhs or rhs.
template <
    typename OpT,

	return checkptrBase(ptr) != checkptrBase(end)
}

func checkptrArithmetic(p unsafe.Pointer, originals []unsafe.Pointer) {
	if 0 < uintptr(p) && uintptr(p) < minLegalPointer {
		throw("checkptr: pointer arithmetic computed bad pointer value")
	}

	// Check that if the computed pointer p points into a heap
	// object, then one of the original pointers must have pointed
	// into the same object.
	base := checkptrBase(p)

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package codegen

// This file contains codegen tests related to arithmetic
// simplifications and optimizations on float types.
// For codegen tests on integer types, see arithmetic.go.

// --------------------- //
//    Strength-reduce    //
// --------------------- //

func Mul2(f float64) float64 {
	// 386/sse2:"ADDSD",-"MULSD"

				return true
			}
		}
	}

	// "(3) Conversion of a Pointer to a uintptr and back, with arithmetic."
	return isSafeArith(info, x)
}

// isSafeArith reports whether x is a pointer arithmetic expression that is safe
// to convert to unsafe.Pointer.
func isSafeArith(info *types.Info, x ast.Expr) bool {
	switch x := astutil.Unparen(x).(type) {

// representing the contents of the converted model. When extended_return
// flag is set to true returns a dictionary that contains string representation
// of the converted model and some statistics like arithmetic ops count.
// `debug_info_str` contains the `GraphDebugInfo` proto. When
// `enable_mlir_converter` is True, use MLIR-based conversion instead of
// TOCO conversion.
PyObject* Convert(PyObject* model_flags_proto_txt_raw,

#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/Pass/Pass.h"  // from @llvm-project

namespace mlir {
namespace odml {

// Creates a pass which unfuses MHLO batch norm inference op into arithmetic
// ops.
std::unique_ptr<Pass> createUnfuseBatchNormPass();

// Creates a pass which constant folds broadcast_in_dim op conditionally.
std::unique_ptr<Pass> createFoldBroadcastPass();

      representing the contents of the converted model. When extended_return
      flag is set to true returns a dictionary that contains string representation
      of the converted model and some statistics like arithmetic ops count.
      `debug_info_str` contains the `GraphDebugInfo` proto. When
      `enable_mlir_converter` is True, tuse MLIR-based conversion instead of
      TOCO conversion.
    )pbdoc");
  m.def(

}

func program(n int, out string) []byte {
	var g gen

	g.p(`// Code generated by: go test -run=Hilbert -H=%d -out=%q. DO NOT EDIT.

// +`+`build ignore

// This program tests arbitrary precision constant arithmetic
// by generating the constant elements of a Hilbert matrix H,
// its inverse I, and the product P = H*I. The product should
// be the identity matrix.
package main

func main() {
	if !ok {
		printProduct()

  // Zero point computation.
  // In float, solve the affine equation for any known pair
  // (real value, corresponding quantized value), of which, two such pairs
  // are known: (rmin, qmin), (rmax, qmax).
  // The arithmetic error on the zero point computed from either pair will be
  // roughly machine_epsilon * (sum of absolute values of terms).
  // Use the variant that adds the smaller error.