1 /*
2 * Copyright (C) 2019 The Android Open Source Project
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #define LOG_TAG "Operations"
18
19 #include "Elu.h"
20
21 #include <algorithm>
22 #include <cmath>
23 #include <vector>
24
25 #include "IndexedShapeWrapper.h"
26 #include "OperationResolver.h"
27 #include "OperationsExecutionUtils.h"
28 #include "Tracing.h"
29
30 namespace android {
31 namespace nn {
32 namespace elu {
33 namespace {
34
35 template <typename T>
eluFloat(const T * inputData,const Shape & inputShape,const T alpha,T * outputData,const Shape &)36 bool eluFloat(const T* inputData, const Shape& inputShape, const T alpha, T* outputData,
37 const Shape& /*outputShape*/) {
38 NNTRACE_COMP("ELU");
39 int numElements = getNumberOfElements(inputShape);
40 for (int i = 0; i < numElements; ++i) {
41 float x = static_cast<float>(inputData[i]);
42 outputData[i] = static_cast<T>(std::max(0.f, x) + std::min(0.f, alpha * (std::exp(x) - 1)));
43 }
44 return true;
45 }
46
47 } // namespace
48
prepare(IOperationExecutionContext * context)49 bool prepare(IOperationExecutionContext* context) {
50 Shape inputShape = context->getInputShape(kInputTensor);
51 return context->setOutputShape(kOutputTensor, inputShape);
52 }
53
execute(IOperationExecutionContext * context)54 bool execute(IOperationExecutionContext* context) {
55 // Bypass execution in the case of zero-sized input.
56 if (getNumberOfElements(context->getOutputShape(kOutputTensor)) == 0) return true;
57 switch (context->getInputType(kInputTensor)) {
58 case OperandType::TENSOR_FLOAT16:
59 return eluFloat(context->getInputBuffer<_Float16>(kInputTensor),
60 context->getInputShape(kInputTensor),
61 context->getInputValue<_Float16>(kAlphaScalar),
62 context->getOutputBuffer<_Float16>(kOutputTensor),
63 context->getOutputShape(kOutputTensor));
64 case OperandType::TENSOR_FLOAT32:
65 return eluFloat(context->getInputBuffer<float>(kInputTensor),
66 context->getInputShape(kInputTensor),
67 context->getInputValue<float>(kAlphaScalar),
68 context->getOutputBuffer<float>(kOutputTensor),
69 context->getOutputShape(kOutputTensor));
70 default:
71 NN_RET_CHECK_FAIL() << "Unsupported tensor type for operation ELU";
72 }
73 }
74
75 } // namespace elu
76
77 NN_REGISTER_OPERATION_DEFAULT_VALIDATION(ELU, elu::prepare, elu::execute);
78
79 } // namespace nn
80 } // namespace android
81