Lines Matching +full:up +full:- +full:samples

5  * This source code is licensed under both the BSD-style license (found in the
8 * You may select, at your option, one of the above-listed licenses.
21 /*-*************************************
37 /*-*************************************
48 static const size_t g_maxMemory = (sizeof(size_t) == 4) ? (2 GB - 64 MB) : ((size_t)(512 MB) << siz…
54 /*-*************************************
68 /*-*************************************
93 If error returns -1.
98 return (fileSize == UTIL_FILESIZE_UNKNOWN) ? -1 : (S64)fileSize; in DiB_getFileSize()
105 * load samples from files listed in fileNamesTable into buffer.
106 * works even if buffer is too small to load all samples.
109 * @return : nb of samples effectively loaded into `buffer`
130 if (fileSize <= 0) /* skip if zero-size or file error */ in DiB_loadFiles()
149 /* If file-chunking is enabled, load the rest of the file as more samples */ in DiB_loadFiles()
152 size_t const chunkSize = MIN((size_t)(fileSize-fileDataLoaded), targetChunkSize); in DiB_loadFiles()
170 DISPLAYLEVEL(4, "Loaded %d KB total training data, %d nb samples \n", in DiB_loadFiles()
176 #define DiB_rotl32(x,r) ((x << r) | (x >> (32 - r)))
190 * shuffle a table of file names in a semi-random way
197 for (i = nbFiles - 1; i > 0; --i) { in DiB_shuffle()
206 /*-********************************************************
220 requiredMem -= step; in DiB_findMaxMem()
263 * provides the amount of data to be loaded and the resulting nb of samples.
277 // TODO: is there a minimum sample size? What if the file is 1-byte? in DiB_fileStats()
283 /* the case where we are breaking up files in sample chunks */ in DiB_fileStats()
286 // TODO: is there a minimum sample size? Can we have a 1-byte sample? in DiB_fileStats()
287 fs.nbSamples += (int)((fileSize + chunkSize-1) / chunkSize); in DiB_fileStats()
304 …DISPLAYLEVEL(4, "Found training data %d files, %d KB, %d samples\n", nbFiles, (int)(fs.totalSizeTo… in DiB_fileStats()
314 size_t* sampleSizes; /* vector of sample sizes. Each sample can be up to SAMPLESIZE_MAX */ in DiB_trainFromFiles()
315 int nbSamplesLoaded; /* nb of samples effectively loaded in srcBuffer */ in DiB_trainFromFiles()
316 size_t loadedSize; /* total data loaded in srcBuffer for all samples */ in DiB_trainFromFiles()
317 void* srcBuffer /* contiguous buffer with training data/samples */; in DiB_trainFromFiles()
321 int const displayLevel = params ? params->zParams.notificationLevel : in DiB_trainFromFiles()
322 coverParams ? coverParams->zParams.notificationLevel : in DiB_trainFromFiles()
323 fastCoverParams ? fastCoverParams->zParams.notificationLevel : 0; in DiB_trainFromFiles()
326 The purpose of the shuffle is to pick random samples when the sample in DiB_trainFromFiles()
331 /* Figure out how much sample data to load with how many samples */ in DiB_trainFromFiles()
357 DISPLAYLEVEL(2, "! Note that dictionary is only useful for small samples. \n"); in DiB_trainFromFiles()
361 DISPLAYLEVEL(2, "! Warning : nb of samples too low for proper processing ! \n"); in DiB_trainFromFiles()
363 …LAYLEVEL(2, "! Alternatively, split files into fixed-size blocks representative of samples, with in DiB_trainFromFiles()
364 EXM_THROW(14, "nb of samples too low"); /* we now clearly forbid this case */ in DiB_trainFromFiles()
367 … DISPLAYLEVEL(2, "! Warning : data size of samples too small for target dictionary size \n"); in DiB_trainFromFiles()
368 DISPLAYLEVEL(2, "! Samples should be about 100x larger than target dictionary size \n"); in DiB_trainFromFiles()
373 DISPLAYLEVEL(1, "Training samples set too large (%u MB); training on %u MB only...\n", in DiB_trainFromFiles()
394 unsigned splitPercentage = (unsigned)(coverParams->splitPoint * 100); in DiB_trainFromFiles()
395 … DISPLAYLEVEL(2, "k=%u\nd=%u\nsteps=%u\nsplit=%u\n", coverParams->k, coverParams->d, in DiB_trainFromFiles()
396 coverParams->steps, splitPercentage); in DiB_trainFromFiles()
409 unsigned splitPercentage = (unsigned)(fastCoverParams->splitPoint * 100); in DiB_trainFromFiles()
410 … DISPLAYLEVEL(2, "k=%u\nd=%u\nf=%u\nsteps=%u\nsplit=%u\naccel=%u\n", fastCoverParams->k, in DiB_trainFromFiles()
411 … fastCoverParams->d, fastCoverParams->f, fastCoverParams->steps, splitPercentage, in DiB_trainFromFiles()
412 fastCoverParams->accel); in DiB_trainFromFiles()
429 /* clean up */ in DiB_trainFromFiles()