milvus/internal/core/src/exec/expression/LogicalUnaryExpr.cpp
zhagnlu a602171d06
enhance: Refactor runtime and expr framework (#28166)
#28165

Signed-off-by: luzhang <luzhang@zilliz.com>
Co-authored-by: luzhang <luzhang@zilliz.com>
2023-12-18 12:04:42 +08:00

45 lines
1.6 KiB
C++

// Licensed to the LF AI & Data foundation 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.
#include "LogicalUnaryExpr.h"
#include "simd/hook.h"
namespace milvus {
namespace exec {
void
PhyLogicalUnaryExpr::Eval(EvalCtx& context, VectorPtr& result) {
AssertInfo(inputs_.size() == 1,
fmt::format("logical unary expr must has one input, but now {}",
inputs_.size()));
inputs_[0]->Eval(context, result);
if (expr_->op_type_ == milvus::expr::LogicalUnaryExpr::OpType::LogicalNot) {
auto flat_vec = GetColumnVector(result);
bool* data = static_cast<bool*>(flat_vec->GetRawData());
#if defined(USE_DYNAMIC_SIMD)
milvus::simd::invert_bool(data, flat_vec->size());
#else
for (int i = 0; i < flat_vec->size(); ++i) {
data[i] = !data[i];
}
#endif
}
}
} //namespace exec
} // namespace milvus