75 lines
2.5 KiB
C++
75 lines
2.5 KiB
C++
/*
|
|
* Copyright (C) 2018 The Android Open Source Project
|
|
*
|
|
* Licensed 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.
|
|
*/
|
|
|
|
#define LOG_TAG "Operations"
|
|
|
|
#include "Neg.h"
|
|
|
|
#include <cmath>
|
|
|
|
#include "OperationResolver.h"
|
|
#include "OperationsExecutionUtils.h"
|
|
#include "Tracing.h"
|
|
|
|
namespace android {
|
|
namespace nn {
|
|
namespace neg {
|
|
namespace {
|
|
|
|
template <typename T>
|
|
inline bool compute(const T* input, const Shape& shape, T* output) {
|
|
const auto size = getNumberOfElements(shape);
|
|
for (uint32_t i = 0; i < size; ++i) {
|
|
output[i] = -input[i];
|
|
}
|
|
return true;
|
|
}
|
|
|
|
} // namespace
|
|
|
|
bool prepare(IOperationExecutionContext* context) {
|
|
Shape input = context->getInputShape(kInputTensor);
|
|
Shape output = context->getOutputShape(kOutputTensor);
|
|
NN_RET_CHECK(SetShape(input, &output));
|
|
return context->setOutputShape(kOutputTensor, output);
|
|
}
|
|
|
|
bool execute(IOperationExecutionContext* context) {
|
|
switch (context->getInputType(kInputTensor)) {
|
|
case OperandType::TENSOR_FLOAT16:
|
|
return compute(context->getInputBuffer<_Float16>(kInputTensor),
|
|
context->getInputShape(kInputTensor),
|
|
context->getOutputBuffer<_Float16>(kOutputTensor));
|
|
case OperandType::TENSOR_FLOAT32:
|
|
return compute(context->getInputBuffer<float>(kInputTensor),
|
|
context->getInputShape(kInputTensor),
|
|
context->getOutputBuffer<float>(kOutputTensor));
|
|
case OperandType::TENSOR_INT32:
|
|
return compute(context->getInputBuffer<int32_t>(kInputTensor),
|
|
context->getInputShape(kInputTensor),
|
|
context->getOutputBuffer<int32_t>(kOutputTensor));
|
|
default:
|
|
NN_RET_CHECK_FAIL() << "Unsupported tensor type for operation " << kOperationName;
|
|
}
|
|
}
|
|
|
|
} // namespace neg
|
|
|
|
NN_REGISTER_OPERATION_DEFAULT_VALIDATION(NEG, neg::prepare, neg::execute);
|
|
|
|
} // namespace nn
|
|
} // namespace android
|