op.h

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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
 
// Acknowledgement: Most operator APIs originate from Halide.
#ifndef TVM_TIR_OP_H_
#define TVM_TIR_OP_H_
 
#include <tvm/ir/expr.h>
#include <tvm/ir/op.h>
#include <tvm/ir/type.h>
#include <tvm/tirx/builtin.h>
#include <tvm/tirx/expr.h>
#include <tvm/tirx/stmt.h>
 
#include <algorithm>
#include <limits>
#include <type_traits>
 
namespace tvm {
 
#define TVM_TIR_REGISTER_OP(OpName) \
  TVM_REGISTER_OP("tirx." OpName).set_attr<TScriptPrinterName>("TScriptPrinterName", OpName)
 
// Most common operators can be overloaded by argument type(PrimExpr).
// So we put them under the root namespace.
//
// We put more developer oriented APIs -- make_const and is_const under tirx
// as they are more specific to the tirx namespace.
 
TVM_DLL Type GetType(const PrimExpr& expr);
 
TVM_DLL Type GetTypeFromRuntimeDataType(const DataType& dtype);
 
TVM_DLL runtime::DataType GetRuntimeDataType(const Type& type);
 
TVM_DLL PrimExpr ret(PrimExpr value, Span span = Span());
 
TVM_DLL PrimExpr thread_return(Span span = Span());
 
TVM_DLL PrimExpr continue_loop(Span span = Span());
 
TVM_DLL PrimExpr break_loop(Span span = Span());
 
TVM_DLL PrimExpr max_value(const DataType& dtype, Span span = Span());
 
TVM_DLL PrimExpr min_value(const DataType& dtype, Span span = Span());
 
TVM_DLL PrimExpr infinity(const DataType& dtype, Span span = Span());
 
TVM_DLL PrimExpr cast(const DataType& t, PrimExpr value, Span span = Span());
TVM_DLL PrimExpr reinterpret(const DataType& t, PrimExpr value, Span span = Span());
TVM_DLL PrimExpr add(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr sub(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr neg(PrimExpr a, Span span = Span());
TVM_DLL PrimExpr mul(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr left_shift(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr right_shift(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr greater(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr greater_equal(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr less(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr less_equal(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr equal(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr not_equal(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr logical_and(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr logical_or(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr logical_not(PrimExpr a, Span span = Span());
TVM_DLL PrimExpr div(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr truncdiv(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr truncmod(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr indexdiv(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr shapediv(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr indexmod(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr floordiv(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr logaddexp(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr ceildiv(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr floormod(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr max(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr min(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr bitwise_and(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr bitwise_or(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr bitwise_xor(PrimExpr a, PrimExpr b, Span span = Span());
TVM_DLL PrimExpr bitwise_neg(PrimExpr a, Span span = Span());
TVM_DLL PrimExpr if_then_else(PrimExpr cond, PrimExpr true_value, PrimExpr false_value,
                              Span span = Span());
TVM_DLL PrimExpr likely(PrimExpr cond, Span span = Span());
TVM_DLL PrimExpr pow(PrimExpr x, PrimExpr y, Span span = Span());
TVM_DLL PrimExpr abs(PrimExpr x, Span span = Span());
TVM_DLL PrimExpr isnan(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr isfinite(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr isinf(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr sum(PrimExpr source, ffi::Array<tirx::IterVar> axis,
                     ffi::Array<PrimExpr> init = {}, Span span = Span());
 
TVM_DLL PrimExpr all(PrimExpr source, ffi::Array<tirx::IterVar> axis,
                     ffi::Array<PrimExpr> init = {}, Span span = Span());
 
TVM_DLL PrimExpr any(PrimExpr source, ffi::Array<tirx::IterVar> axis,
                     ffi::Array<PrimExpr> init = {}, Span span = Span());
 
TVM_DLL PrimExpr max(PrimExpr source, ffi::Array<tirx::IterVar> axis,
                     ffi::Array<PrimExpr> init = {}, Span span = Span());
 
TVM_DLL PrimExpr min(PrimExpr source, ffi::Array<tirx::IterVar> axis,
                     ffi::Array<PrimExpr> init = {}, Span span = Span());
 
TVM_DLL PrimExpr prod(PrimExpr source, ffi::Array<tirx::IterVar> axis,
                      ffi::Array<PrimExpr> init = {}, Span span = Span());
 
TVM_DLL PrimExpr floor(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr ceil(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr round(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr nearbyint(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr trunc(PrimExpr x, Span span = Span());
 
TVM_DLL PrimExpr LargeUIntImm(DataType dtype, int64_t low, int64_t high, Span span = Span());
 
TVM_DLL PrimExpr q_multiply_shift(PrimExpr x, PrimExpr y, PrimExpr q, PrimExpr s,
                                  Span span = Span());
 
TVM_DLL PrimExpr fast_erf_float_expr(PrimExpr arg, int bits);
 
inline void CheckMathUnaryOpInputDType(const char* op_name, DataType dtype) {
  TVM_FFI_CHECK(dtype.is_float() || dtype.is_bfloat16(), TypeError)
      << "tirx." << op_name << " only supports floating-point inputs, but got " << dtype;
}
 
// Intrinsic operators
#define TVM_DECLARE_INTRIN_UNARY_WITH_CHECK(OpName, CheckInputDType)     \
  inline PrimExpr OpName(PrimExpr x, Span span = Span()) {               \
    static const Op& op = Op::Get("tirx." #OpName);                      \
    CheckInputDType(#OpName, x.dtype());                                 \
    if (x.dtype().is_bfloat16()) {                                       \
      DataType bf16_dtype = x.dtype();                                   \
      DataType fp32_dtype(kDLFloat, 32, bf16_dtype.lanes());             \
      PrimExpr x_fp32 = tirx::Cast(fp32_dtype, {x}, span);               \
      PrimExpr result_fp32 = tirx::Call(fp32_dtype, op, {x_fp32}, span); \
      return tirx::Cast(bf16_dtype, {result_fp32}, span);                \
    } else {                                                             \
      return tirx::Call(x.dtype(), op, {x}, span);                       \
    }                                                                    \
  }
 
#define TVM_DECLARE_INTRIN_UNARY(OpName) \
  TVM_DECLARE_INTRIN_UNARY_WITH_CHECK(OpName, [](const char*, DataType) {})
 
#define TVM_DECLARE_FLOAT_INTRIN_UNARY(OpName) \
  TVM_DECLARE_INTRIN_UNARY_WITH_CHECK(OpName, CheckMathUnaryOpInputDType)
 
TVM_DECLARE_INTRIN_UNARY(exp);
TVM_DECLARE_INTRIN_UNARY(exp2);
TVM_DECLARE_INTRIN_UNARY(exp10);
TVM_DECLARE_INTRIN_UNARY(erf);
TVM_DECLARE_FLOAT_INTRIN_UNARY(tanh);
TVM_DECLARE_INTRIN_UNARY(sigmoid);
TVM_DECLARE_INTRIN_UNARY(sqrt);
TVM_DECLARE_INTRIN_UNARY(rsqrt);
TVM_DECLARE_INTRIN_UNARY(log);
TVM_DECLARE_INTRIN_UNARY(log2);
TVM_DECLARE_INTRIN_UNARY(log10);
TVM_DECLARE_INTRIN_UNARY(log1p);
TVM_DECLARE_INTRIN_UNARY(popcount);
TVM_DECLARE_FLOAT_INTRIN_UNARY(tan);
TVM_DECLARE_FLOAT_INTRIN_UNARY(cos);
TVM_DECLARE_FLOAT_INTRIN_UNARY(cosh);
TVM_DECLARE_FLOAT_INTRIN_UNARY(sin);
TVM_DECLARE_FLOAT_INTRIN_UNARY(sinh);
TVM_DECLARE_FLOAT_INTRIN_UNARY(asin);
TVM_DECLARE_FLOAT_INTRIN_UNARY(acos);
TVM_DECLARE_FLOAT_INTRIN_UNARY(atan);
TVM_DECLARE_FLOAT_INTRIN_UNARY(acosh);
TVM_DECLARE_FLOAT_INTRIN_UNARY(asinh);
TVM_DECLARE_FLOAT_INTRIN_UNARY(atanh);
TVM_DECLARE_INTRIN_UNARY(clz);
 
#define TVM_DECLARE_INTRIN_BINARY(OpName)                              \
  inline PrimExpr OpName(PrimExpr x, PrimExpr y, Span span = Span()) { \
    static const Op& op = Op::Get("tirx." #OpName);                    \
    return tirx::Call(x.dtype(), op, {x, y}, span);                    \
  }
 
TVM_DECLARE_INTRIN_BINARY(atan2);
TVM_DECLARE_INTRIN_BINARY(nextafter);
TVM_DECLARE_INTRIN_BINARY(copysign);
TVM_DECLARE_INTRIN_BINARY(hypot);
TVM_DECLARE_INTRIN_BINARY(ldexp);
 
namespace tirx {
 
inline bool IsPointerType(const Type& type, const DataType& element_type) {
  if (!type.defined()) return false;
  if (const auto* ptr_type = type.as<PointerTypeNode>()) {
    if (const auto* prim_type = ptr_type->element_type.as<PrimTypeNode>()) {
      return prim_type->dtype == element_type;
    }
  }
  return false;
}
 
template <typename ValueType,
          typename = typename std::enable_if<std::is_pod<ValueType>::value>::type>
inline PrimExpr make_const(DataType t, ValueType value, Span span = Span());
inline PrimExpr make_zero(DataType t, Span span = Span());
inline PrimExpr const_true(int lanes = 1, Span span = Span()) {
  return make_const(DataType::Bool(lanes), 1);
}
inline PrimExpr const_false(int lanes = 1, Span span = Span()) {
  return make_const(DataType::Bool(lanes), 0);
}
inline const int64_t* as_const_int(const PrimExpr& x) {
  if (!x.defined()) return nullptr;
  if (const tirx::IntImmNode* op = x.as<tirx::IntImmNode>()) {
    return &(op->value);
  }
 
  return nullptr;
}
 
inline bool is_const_int(const PrimExpr& x, int64_t value);
 
inline bool is_no_op(const tirx::Stmt& stmt);
 
inline bool is_one(const PrimExpr& x) { return is_const_int(x, 1); }
 
inline bool is_zero(const PrimExpr& x) { return is_const_int(x, 0); }
 
inline bool is_const_int(const PrimExpr& x);
 
inline bool is_const_number(const PrimExpr& x);
 
template <typename FReduce>
inline PrimExpr foldl(FReduce freduce, PrimExpr init_value, const ffi::Array<PrimExpr>& values,
                      Span span = Span()) {
  for (PrimExpr val : values) {
    init_value = freduce(init_value, val, span);
  }
  return init_value;
}
 
TVM_DLL bool is_const_power_of_two_integer(const PrimExpr& x, int* shift);
 
// Implementation details after this
inline bool is_const_int(const PrimExpr& x) { return as_const_int(x); }
 
inline bool is_const_number(const PrimExpr& x) {
  if (x.as<tirx::IntImmNode>()) {
    return true;
  } else if (x.as<tirx::FloatImmNode>()) {
    return true;
  } else if (const auto* op = x.as<tirx::BroadcastNode>()) {
    return (op->value->IsInstance<tirx::IntImmNode>() ||
            op->value->IsInstance<tirx::FloatImmNode>());
  }
  return false;
}
 
inline bool is_positive_const(const PrimExpr& a) {
  const int64_t* as_int = as_const_int(a);
  return as_int && (*as_int > 0);
}
 
inline bool is_negative_const(const PrimExpr& a) {
  const int64_t* as_int = as_const_int(a);
  return as_int && (*as_int < 0);
}
 
inline bool is_const_int(const PrimExpr& x, int64_t value) {
  const int64_t* as_int = as_const_int(x);
  return as_int && (*as_int == value);
}
 
inline bool is_no_op(const tirx::Stmt& stmt) {
  if (!stmt.defined()) return true;
  if (const auto* op = stmt.as<tirx::EvaluateNode>()) {
    return is_const_int(op->value);
  }
  if (const auto* op = stmt.as<tirx::SeqStmtNode>()) {
    return op->seq.size() == 0;
  }
  return false;
}
 
template <typename ValueType>
inline PrimExpr MakeConstScalar(DataType t, ValueType value, Span span = Span()) {
  if (t.is_int() || t.is_bool()) return IntImm(t, static_cast<int64_t>(value), span);
  if (t.is_uint()) {
    // Use IntImm if it is a small integer
    uint64_t uval = static_cast<uint64_t>(value);
    if (value < static_cast<ValueType>(0)) {
      TVM_FFI_THROW(InternalError) << "cannot make uint from negative value " << value;
    } else if (uval <= static_cast<uint64_t>(std::numeric_limits<int64_t>::max())) {
      return IntImm(t, static_cast<int64_t>(value), span);
    } else {
      uint64_t mask = (static_cast<uint64_t>(1) << 32U) - 1U;
      uint64_t low = uval & mask;
      uint64_t high = uval >> 32U;
      return LargeUIntImm(t, static_cast<int64_t>(low), static_cast<int64_t>(high), span);
    }
  }
  if (t.is_float() || t.is_bfloat16() || t.is_float8() || t.is_float6() || t.is_float4())
    return FloatImm(t, static_cast<double>(value), span);
  // For now, we store const scalar values of custom datatypes within doubles; later, during the
  // datatypes lowering pass, we will lower the value to its true representation in the format
  // specified by the datatype.
  // TODO(gus) when do we need to start worrying about doubles not being precise enough?
  if (static_cast<uint8_t>(t.code()) >= static_cast<uint8_t>(DataType::kCustomBegin)) {
    return FloatImm(t, static_cast<double>(value), span);
  }
  TVM_FFI_THROW(InternalError) << "cannot make const for type " << t;
  throw;
}
 
template <>
inline PrimExpr MakeConstScalar(DataType t, bool value, Span span) {
  return MakeConstScalar(t, static_cast<int>(value), span);
}
 
template <typename ValueType, typename>
inline PrimExpr make_const(DataType t, ValueType value, Span span) {
  if (t.is_scalar()) {
    return MakeConstScalar(t, value, span);
  } else {
    if (t.is_fixed_length_vector()) {
      return tirx::Broadcast(MakeConstScalar(t.element_of(), value, span), t.lanes(), span);
    } else {
      PrimExpr lanes =
          tirx::Mul(tirx::Call(DataType::Int(32), tirx::builtin::vscale(), {}), t.vscale_factor());
      return tirx::Broadcast(MakeConstScalar(t.element_of(), value, span), lanes, span);
    }
  }
}
 
inline PrimExpr make_zero(DataType t, Span span) {
  if (t.is_handle()) {
    return reinterpret(t, make_const(DataType::UInt(64), 0, span));
  }
  return make_const(t, 0, span);
}
 
}  // namespace tirx
 
// additional const expression overloading
#define TVM_DEFINE_ASSIGN_OP_OVERLOAD(Name, OpFunc) \
  inline PrimExpr Name(PrimExpr& a, PrimExpr b) {   \
    a = OpFunc(a, b);                               \
    return a;                                       \
  }
 
#define TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(Name)                                   \
  inline PrimExpr Name(const PrimExpr& a, float b) { return Name(a, PrimExpr(b)); } \
  inline PrimExpr Name(float a, const PrimExpr& b) { return Name(PrimExpr(a), b); } \
  inline PrimExpr Name(int a, const PrimExpr& b) {                                  \
    return Name(tirx::make_const(b.dtype(), a), b);                                 \
  }                                                                                 \
  inline PrimExpr Name(const PrimExpr& a, int b) {                                  \
    return Name(a, tirx::make_const(a.dtype(), b));                                 \
  }                                                                                 \
  inline PrimExpr Name(const PrimExpr& a, double b) {                               \
    return Name(a, tirx::make_const(DataType::Float(64), b));                       \
  }
 
#define TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(Name)                 \
  inline PrimExpr Name(const PrimExpr& a, float b, Span span = Span()) {  \
    return Name(a, PrimExpr(b), span);                                    \
  }                                                                       \
  inline PrimExpr Name(float a, const PrimExpr& b, Span span = Span()) {  \
    return Name(PrimExpr(a), b, span);                                    \
  }                                                                       \
  inline PrimExpr Name(int a, const PrimExpr& b, Span span = Span()) {    \
    return Name(tirx::make_const(b.dtype(), a), b, span);                 \
  }                                                                       \
  inline PrimExpr Name(const PrimExpr& a, int b, Span span = Span()) {    \
    return Name(a, tirx::make_const(a.dtype(), b), span);                 \
  }                                                                       \
  inline PrimExpr Name(const PrimExpr& a, double b, Span span = Span()) { \
    return Name(a, tirx::make_const(DataType::Float(64), b), span);       \
  }
 
#define TVM_DEFINE_LOGICAL_OP_CONST_VAL_OVERLOAD(Name)                             \
  inline PrimExpr Name(const PrimExpr& a, bool b) { return Name(a, PrimExpr(b)); } \
  inline PrimExpr Name(bool a, const PrimExpr& b) { return Name(PrimExpr(a), b); }
 
#define TVM_DEFINE_LOGICAL_OP_CONST_VAL_OVERLOAD_SPANNED(Name)          \
  inline PrimExpr Name(const PrimExpr& a, bool b, Span span = Span()) { \
    return Name(a, PrimExpr(b), span);                                  \
  }                                                                     \
  inline PrimExpr Name(bool a, const PrimExpr& b, Span span = Span()) { \
    return Name(PrimExpr(a), b, span);                                  \
  }
 
#define TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD(Name)  \
  inline PrimExpr Name(const PrimExpr& a, int b) {  \
    return Name(a, tirx::make_const(a.dtype(), b)); \
  }                                                 \
  inline PrimExpr Name(int a, const PrimExpr& b) { return Name(tirx::make_const(b.dtype(), a), b); }
 
#define TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(Name)             \
  inline PrimExpr Name(const PrimExpr& a, int b, Span span = Span()) { \
    return Name(a, tirx::make_const(a.dtype(), b), span);              \
  }                                                                    \
  inline PrimExpr Name(int a, const PrimExpr& b, Span span = Span()) { \
    return Name(tirx::make_const(b.dtype(), a), b, span);              \
  }
 
TVM_DEFINE_ASSIGN_OP_OVERLOAD(operator+=, operator+);
TVM_DEFINE_ASSIGN_OP_OVERLOAD(operator-=, operator-);
TVM_DEFINE_ASSIGN_OP_OVERLOAD(operator*=, operator*);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(operator+);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(operator-);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(operator*);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(operator>);  // NOLINT(*)
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(operator>=);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(operator<);  // NOLINT(*)
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD(operator<=);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(max);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(min);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(div);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(add);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(sub);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(mul);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(greater);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(greater_equal);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(less);
TVM_DEFINE_BINOP_CONST_VAL_OVERLOAD_SPANNED(less_equal);
// integer related ops
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(indexdiv);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(indexmod);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(truncdiv);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(truncmod);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(floordiv);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(logaddexp);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(floormod);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(right_shift);  // NOLINT(*)
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(left_shift);   // NOLINT(*)
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(bitwise_and);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(bitwise_or);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD_SPANNED(bitwise_xor);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD(operator>>);  // NOLINT(*)
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD(operator<<);  // NOLINT(*)
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD(operator&);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD(operator|);
TVM_DEFINE_INT_OP_CONST_VAL_OVERLOAD(operator^);
// logical ops
TVM_DEFINE_LOGICAL_OP_CONST_VAL_OVERLOAD(operator&&);
TVM_DEFINE_LOGICAL_OP_CONST_VAL_OVERLOAD(operator||);
TVM_DEFINE_LOGICAL_OP_CONST_VAL_OVERLOAD_SPANNED(logical_and);
TVM_DEFINE_LOGICAL_OP_CONST_VAL_OVERLOAD_SPANNED(logical_or);
 
template <typename TA>
inline void DivAmbiguityError(const TA& a) {
  constexpr bool div_ambiguity = !std::is_class<TA>::value;
  static_assert(div_ambiguity,
                "TVM supports multiple types of integer divisions, "
                "please call div, indexdiv/indexmod, "
                "floordiv/floormod or truncdiv/truncmod directly "
                "to avoid ambiguity in the code. "
                "Checkout these functions in tirx/op.h.");
}
 
// The following code are not intended to be used in the codebase.
// Instead, they generate clear compiler errors that ask developers
// to use the specific division function.
// The second template argument is necessary to make sure the
// code compiles lazily by the compiler during invocation.
template <typename TB>
inline PrimExpr operator/(const PrimExpr& a, const TB& b) {
  DivAmbiguityError(a);
  return a;
}
 
template <typename TB>
inline PrimExpr operator/=(const PrimExpr& a, const TB& b) {
  DivAmbiguityError(a);
  return a;
}
 
template <typename TB>
inline PrimExpr operator%(const PrimExpr& a, const TB& b) {
  DivAmbiguityError(a);
  return a;
}
}  // namespace tvm
#endif  // TVM_TIR_OP_H_