blob: 4c7ecc074e46c95a1d7d4f64f5d222144e17af02 [file] [log] [blame]
/*
* Copyright (C) 2019 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.
*/
#include "Elu.h"
#include "OperationsValidationUtils.h"
namespace android::nn {
namespace elu {
Result<Version> validate(const IOperationValidationContext* context) {
NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);
NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);
auto inputType = context->getInputType(kInputTensor);
auto minSupportedVersion = kVersionFeatureLevel1;
if (inputType == OperandType::TENSOR_FLOAT16 || inputType == OperandType::TENSOR_FLOAT32) {
minSupportedVersion = kVersionFeatureLevel4;
} else {
NN_RET_CHECK_FAIL() << "Unsupported tensor type for operation ELU";
}
auto scalarType =
inputType == OperandType::TENSOR_FLOAT16 ? OperandType::FLOAT16 : OperandType::FLOAT32;
NN_RET_CHECK(validateInputTypes(context, {inputType, scalarType}));
NN_RET_CHECK(validateOutputTypes(context, {inputType}));
return minSupportedVersion;
}
} // namespace elu
NN_DEFINE_VALIDATION_FUNCTION(ELU, elu::validate);
} // namespace android::nn