mirror of
https://github.com/openharmony/neural_network_runtime.git
synced 2026-07-18 09:44:29 -04:00
7f4a0afc68
* add neural network runtime
73 lines
1.9 KiB
C++
73 lines
1.9 KiB
C++
/*
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* Copyright (c) 2022 Huawei Device Co., Ltd.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "mindir_types.h"
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#include "validation.h"
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namespace OHOS {
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namespace NeuralNetworkRuntime {
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namespace Validation {
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bool ValidateTensorDataType(OH_NN_DataType dataType)
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{
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if (dataType >= OH_NN_UNKNOWN && dataType <= OH_NN_FLOAT64) {
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return true;
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}
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return false;
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}
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bool ValidatePerformanceMode(OH_NN_PerformanceMode performanceMode)
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{
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if ((performanceMode >= OH_NN_PERFORMANCE_NONE) && (performanceMode <= OH_NN_PERFORMANCE_EXTREME)) {
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return true;
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}
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return false;
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}
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bool ValidatePriority(OH_NN_Priority priority)
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{
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if ((priority >= OH_NN_PRIORITY_NONE) && (priority <= OH_NN_PRIORITY_HIGH)) {
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return true;
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}
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return false;
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}
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bool ValidateFuseType(OH_NN_FuseType fuseType)
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{
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if ((fuseType >= OH_NN_FUSED_NONE) && (fuseType <= OH_NN_FUSED_RELU6)) {
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return true;
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}
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return false;
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}
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bool ValidatePadMode(int8_t padMode)
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{
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if ((padMode >= mindspore::lite::PAD_MODE_PAD) && (padMode <= mindspore::lite::PAD_MODE_VALID)) {
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return true;
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}
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return false;
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}
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bool ValidateTensorType(OH_NN_TensorType nnTensorType)
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{
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if ((nnTensorType >= OH_NN_TENSOR) && (nnTensorType <= OH_NN_UNSQUEEZE_AXIS)) {
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return true;
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}
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return false;
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}
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} // namespace Validation
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} // namespace NeuralNetworkRuntime
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} // namespace OHOS
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