/******************************************************************************/ /*! * \file timlCNNLinearWriteToFile.c */ /* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/ * * 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. * * Neither the name of Texas Instruments Incorporated nor the names of * its contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * 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 * OWNER 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. * ******************************************************************************/ /******************************************************************************* * * INCLUDES * ******************************************************************************/ #include "../api/timl.h" /******************************************************************************/ /*! * \ingroup cnn * \brief Write the linear layer to file(s) * \param[in,out] fp1 FILE ptr to the level 1 text file * \param[in,out] fp2 FILE ptr to the level 2 bin file * \param[in,out] fp3 FILE ptr to the level 3 bin file * \param[in] layer Layer ptr * \param[in] level Write level * \param[in] name CNN name * \param[in] floatFormat Format string for floats * \param[in] intFormat Format string for ints * \return Error code */ /******************************************************************************/ int timlCNNLinearWriteToFile(FILE *fp1, FILE *fp2, FILE *fp3, timlCNNLayer *layer, timlUtilParamsLevel level, const char* name, const char *floatFormat, const char *intFormat) { int err; err = 0; fprintf(fp1, "%s.layer(%d).linearParams.dim = %d;\n", name, layer->id + 1, layer->linearParams.dim); fprintf(fp1, "%s.layer(%d).linearParams.prevDim = %d;\n", name, layer->id + 1, layer->linearParams.prevDim); fprintf(fp1, "%s.layer(%d).linearParams.weightDecayFactor = ", name, layer->id + 1); fprintf(fp1, floatFormat, layer->linearParams.weightDecayFactor); fprintf(fp1, ";\n"); fprintf(fp1, "%s.layer(%d).linearParams.weightInit.type = %d;\n", name, layer->id + 1, layer->linearParams.weightInit.type); fprintf(fp1, "%s.layer(%d).linearParams.weightLearningFactor =", name, layer->id + 1); fprintf(fp1, floatFormat, layer->linearParams.weightLearningFactor); fprintf(fp1, ";\n"); fprintf(fp1, "%s.layer(%d).linearParams.biasInit.type = %d;\n", name, layer->id + 1, layer->linearParams.biasInit.type); fprintf(fp1, "%s.layer(%d).linearParams.biasLearningFactor =", name, layer->id + 1); fprintf(fp1, floatFormat, layer->linearParams.biasLearningFactor); fprintf(fp1, ";\n"); if (fp2 != NULL) { timlUtilFwrite(layer->linearParams.weight, sizeof(float), layer->linearParams.dim*layer->linearParams.prevDim, fp2); timlUtilFwrite(layer->linearParams.bias, sizeof(float), layer->linearParams.dim, fp2); } if (fp3 != NULL) { timlUtilFwrite(layer->featureMap, sizeof(float), layer->maxBatchSize*layer->row*layer->col*layer->channel, fp3); if (layer->allocatorLevel == Util_AllocatorLevel1) { timlUtilFwrite(layer->delta, sizeof(float), layer->maxBatchSize*layer->row*layer->col*layer->channel, fp3); timlUtilFwrite(layer->linearParams.weightInc, sizeof(float), layer->linearParams.dim*layer->linearParams.prevDim, fp3); timlUtilFwrite(layer->linearParams.weightGradAccum, sizeof(float), layer->linearParams.dim*layer->linearParams.prevDim, fp3); timlUtilFwrite(layer->linearParams.biasInc, sizeof(float), layer->linearParams.dim, fp3); timlUtilFwrite(layer->linearParams.biasGradAccum, sizeof(float), layer->linearParams.dim, fp3); } } return err; }