AttrType &max_value) const {
    Value min = tf_op.getMin(), max = tf_op.getMax();
    if (!matchPattern(min, m_Constant(&min_value))) {
      return false;
    }
    if (!matchPattern(max, m_Constant(&max_value))) {
      return false;
    }
    return true;  // Successfully matched and fetched.
  }
};

                                         /*AddNull=*/false);
  new llvm::GlobalVariable(
      *module, protobuf_array_initializer->getType(),
      /*isConstant=*/true, llvm::GlobalValue::ExternalLinkage,
      protobuf_array_initializer, AsStringRef(*protobuf_array_symbol_name));
}

static string CreateCPPShimExpression(
    absl::string_view qualified_cpp_protobuf_name,

        return (access & Opcodes.ACC_PRIVATE) == 0;
    }

    private static boolean isAccessibleConstant(int access, Object value) {
        return isConstant(access) && isAccessible(access) && value != null;
    }

    private static boolean isConstant(int access) {
        return (access & Opcodes.ACC_FINAL) != 0 && (access & Opcodes.ACC_STATIC) != 0;
    }

    public String getDependencyToAllReason() {

// routine uses the constant op's attribute to get the actual shape.
RankedTensorType GetRankedTensorTypeForOperand(Value operand) {
  DenseElementsAttr attr;
  if (matchPattern(operand, m_Constant(&attr))) {
    return mlir::dyn_cast<RankedTensorType>(attr.getType());
  }
  return mlir::dyn_cast<RankedTensorType>(operand.getType());
}

                                   DenseIntElementsAttr& replica_groups,
                                   Operation* op) {
  DenseIntElementsAttr group_assignment;
  if (!matchPattern(group_assignment_value, m_Constant(&group_assignment))) {
    return op->emitOpError() << "expects constant group_assignment";
  }
  replica_groups = mlir::cast<DenseIntElementsAttr>(

  const bool kIsNarrowRange = true;
  const bool kIsSigned = true;
  const int kBitWidth = 8;

  DenseFPElementsAttr attr;
  if (!matchPattern(op->getResult(0), m_Constant(&attr))) return nullptr;

  QuantizedType quant_type = mlir::dyn_cast<quant::QuantizedType>(
      quant::GetUniformQuantizedTypeForWeight(
          attr, /*symmetric=*/kIsNarrowRange && kIsSigned, kBitWidth, kIsSigned,

  auto input_type = mlir::dyn_cast<RankedTensorType>(input.getType());
  if (!input_type) return success();
  int64_t rank = input_type.getRank();

  DenseIntElementsAttr dims_attr;
  if (!matchPattern(dims, m_Constant(&dims_attr))) return success();
  for (const auto &dim_pair : llvm::enumerate(dims_attr)) {
    int64_t cur_dim = dim_pair.value().getSExtValue();
    if (cur_dim < -rank || cur_dim >= rank)
      return emitError(loc)

    DenseIntElementsAttr value_attr;
    if (!matchPattern(value, m_Constant(&value_attr)) ||
        !value_attr.isSplat()) {
      return false;
    }
    splat_value = value_attr.getSplatValue<T>();
    return true;
  }

  DenseFPElementsAttr value_attr;
  if (!matchPattern(value, m_Constant(&value_attr)) || !value_attr.isSplat()) {
    return false;
  }

    for (auto op : constant_ops) {
      ShapedType shaped_type =
          RankedTensorType::get({1}, StringType::get(context));

      DenseStringElementsAttr attr;
      if (!matchPattern(op.getOperation(), m_Constant(&attr))) {
        continue;
      }

      ArrayRef<StringRef> values = attr.getRawStringData();
      if (values.size() != 1 || values[0] != "%FILE_PLACEHOLDER") {
        continue;
      }

  Value packed_value = PackOperand(builder, module->getLoc(), value, pack_dim);
  DenseIntElementsAttr packed_value_attr;
  ASSERT_TRUE(matchPattern(packed_value, m_Constant(&packed_value_attr)));

  ShapedType packed_shape_type =
      mlir::dyn_cast<ShapedType>(packed_value.getType());
  llvm::SmallVector<int64_t> packed_shape(packed_shape_type.getShape().begin(),