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include/worker.cuh

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+/* 
+ * Copyright (c) 2011, Alex Krizhevsky (akrizhevsky@gmail.com)
+ * All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without modification,
+ * are permitted provided that the following conditions are met:
+ *
+ * - Redistributions of source code must retain the above copyright notice,
+ *   this list of conditions and the following disclaimer.
+ * 
+ * - Redistributions in binary form must reproduce the above copyright notice,
+ *   this list of conditions and the following disclaimer in the documentation
+ *   and/or other materials provided with the distribution.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+ * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
+ * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
+ * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+#ifndef WORKER_CUH
+#define	WORKER_CUH
+
+#include "convnet.cuh"
+#include "cost.cuh"
+#include "data.cuh"
+
+class ConvNet;
+class Cost;
+
+class WorkResult {
+public:
+    enum RESULTS {BATCH_DONE, SYNC_DONE};
+protected:
+    WorkResult::RESULTS _resultType;
+    Cost* _results;
+public:
+    WorkResult(WorkResult::RESULTS resultType, Cost& results);
+    WorkResult(WorkResult::RESULTS resultType);
+    virtual ~WorkResult();
+    Cost& getResults() const;
+    WorkResult::RESULTS getResultType() const;
+};
+
+class Worker {
+protected:
+    ConvNet* _convNet;
+public:
+    Worker(ConvNet& convNet);
+    virtual void run() = 0;
+};
+
+class DataWorker : public Worker {
+protected:
+    CPUData* _data;
+    DataProvider* _dp;
+public:
+    DataWorker(ConvNet& convNet, CPUData& data);
+    virtual ~DataWorker();
+};
+
+class TrainingWorker : public DataWorker {
+protected:
+    bool _test;
+    double _progress;
+public:
+    TrainingWorker(ConvNet& convNet, CPUData& data, double progress, bool test);
+    void run();
+};
+
+class SyncWorker : public Worker {
+public:
+    SyncWorker(ConvNet& convNet);
+    void run();
+};
+
+class GradCheckWorker : public DataWorker {
+public:
+    GradCheckWorker(ConvNet& convNet, CPUData& data);
+    void run();
+};
+
+class MultiviewTestWorker : public DataWorker {
+protected:
+    int _numViews;
+    Matrix* _cpuProbs;
+    std::string _logregName;
+public:
+    MultiviewTestWorker(ConvNet& convNet, CPUData& data, int numViews, Matrix& cpuProbs, const char* softmaxName);
+    MultiviewTestWorker(ConvNet& convNet, CPUData& data, int numViews);
+    ~MultiviewTestWorker();
+    virtual void run();
+};
+
+class FeatureWorker : public DataWorker {
+protected:
+    MatrixV *_ftrs;
+    stringv *_layerNames;
+public:
+    FeatureWorker(ConvNet& convNet, CPUData& data, MatrixV& ftrs, stringv& layerNames);
+    ~FeatureWorker();
+    void run();
+};
+
+class DataGradWorker : public DataWorker {
+protected:
+    Matrix* _dataGrads;
+    int _dataLayerIdx, _softmaxLayerIdx;
+public:
+    DataGradWorker(ConvNet& convNet, CPUData& data, Matrix& dataGrads, int dataLayerIdx, int softmaxLayerIdx);
+    ~DataGradWorker();
+    void run();
+};
+
+#endif	/* WORKER_CUH */
+