61 lines
1.8 KiB
61 lines
1.8 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "PaddleAPI.h"
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#include "paddle/parameter/Parameter.h"
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#include "paddle/utils/Common.h"
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#include "paddle/utils/Flags.h"
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#include "paddle/utils/PythonUtil.h"
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#include "paddle/utils/Util.h"
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#include <algorithm>
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#include <iostream>
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#include <iterator>
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void initPaddle(int argc, char** argv) {
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paddle::initMain(argc, argv);
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paddle::initPython(argc, argv);
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feenableexcept(FE_INVALID | FE_DIVBYZERO | FE_OVERFLOW);
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}
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FloatArray::FloatArray(const float* b, const size_t l)
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: buf(b), length(l), needFree(false) {}
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IntArray::IntArray(const int* b, const size_t l, bool f)
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: buf(b), length(l), needFree(f) {}
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IntWithFloatArray::IntWithFloatArray(const float* v,
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const int* i,
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size_t l,
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bool f)
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: valBuf(v), idxBuf(i), length(l), needFree(f) {}
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bool isUsingGpu() { return FLAGS_use_gpu; }
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void setUseGpu(bool useGpu) { FLAGS_use_gpu = useGpu; }
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bool isGpuVersion() {
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#ifdef PADDLE_ONLY_CPU
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return false;
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#else
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return true;
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#endif
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}
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int getTrainerCount() { return FLAGS_trainer_count; }
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static_assert(NUM_PARAMETER_TYPES == paddle::NUM_PARAMETER_TYPES,
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"The Parameter Type should be same in core/api and core/common");
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