| /external/skqp/dm/ |
| DM.cpp | 185 peak = sk_tools::getMaxResidentSetSizeMB(); local
189 info("\n%dMB RAM, %dMB peak, %s elapsed, %d queued, %d active:\n",
190 curr, peak, elapsed.c_str(), gPending - gRunning.count(), gRunning.count());
[all...] |
| /external/valgrind/massif/ |
| ms_main.c | 50 // it's clear where/why the peak is occurring. (Mattieu Castet) Also,
142 Detailed snapshots: [2, 11, 13, 19, 25, 32 (peak)]
209 // - Peak snapshot: When the memory usage peak is reached, it takes a
210 // snapshot. It keeps this, unless the peak is subsequently exceeded,
211 // in which case it will overwrite the peak snapshot.
261 // This is the total size from the current peak snapshot, or 0 if no peak
410 else if VG_DBL_CLO(arg, "--peak-inaccuracy", clo_peak_inaccuracy) {}
440 " --peak-inaccuracy=<m.n> maximum peak inaccuracy, as a percentage [1.0]\n
[all...] |
| /external/valgrind/massif/tests/ |
| ignoring.post.exp | 33 Detailed snapshots: [1 (peak), 3, 8, 26, 31, 36, 41, 46, 52, 62, 72, 82]
|
| long-time.post.exp | 33 Detailed snapshots: [1 (peak), 7, 28, 33, 38, 43, 48, 56, 66, 76, 86]
|
| culling1.stderr.exp | 439 Massif: peak snapshots: 0
|
| culling2.stderr.exp | [all...] |
| /external/freetype/src/truetype/ |
| ttgxvar.c | 498 FT_Short start, peak, end; local
502 FT_READ_SHORT( peak ) ||
507 axisCoords[j].peakCoord = FT_fdot14ToFixed( peak );
898 /* peak of 0 means ignore this axis */
[all...] |
| /external/tensorflow/tensorflow/core/common_runtime/ |
| executor.cc | 86 int64 peak = all.peak_bytes(); local
87 if (peak > 0) {
91 peak / 1048576.0));
[all...] |
| /system/bt/stack/hcic/ |
| hcicmds.cc | 590 uint32_t token_rate, uint32_t peak, uint32_t latency,
605 UINT32_TO_STREAM(pp, peak);
[all...] |
| /external/tensorflow/tensorflow/core/profiler/internal/ |
| tfprof_node.h | 572 int64 peak_bytes(int64 step) const { GRAPH_NODE_BYTES(peak); }
|
| /external/valgrind/coregrind/ |
| m_xtree.c | 885 header->detailed ? (header->peak ? "peak" : "detailed") : "empty";
[all...] |
| /external/libvpx/libvpx/vp9/encoder/ |
| vp9_encoder.c | 2331 const double peak = (double)((1 << cpi->oxcf.input_bit_depth) - 1); local
5501 const double peak = (double)((1 << cpi->oxcf.input_bit_depth) - 1); local
[all...] |
| /external/ImageMagick/www/api/ |
| morphology.php | 254 <dd> Peak:radius1,radius2 Find any peak larger than the pixels the fall between the two radii. The default ring of pixels is as per "Ring". Edges Find flat orthogonal edges of a binary shape Corners Find 90 degree corners of a binary shape Diagonals:type A special kernel to thin the 'outside' of diagonals LineEnds:type Find end points of lines (for pruning a skeletion) Two types of lines ends (default to both) can be searched for Type 0: All line ends Type 1: single kernel for 4-conneected line ends Type 2: single kernel for simple line ends LineJunctions Find three line junctions (within a skeletion) Type 0: all line junctions Type 1: Y Junction kernel Type 2: Diagonal T Junction kernel Type 3: Orthogonal T Junction kernel Type 4: Diagonal X Junction kernel Type 5: Orthogonal + Junction kernel Ridges:type Find single pixel ridges or thin lines Type 1: Fine single pixel thick lines and ridges Type 2: Find two pixel thick lines and ridges ConvexHull Octagonal Thickening Kernel, to generate convex hulls of 45 degrees Skeleton:type Traditional skeleton generating kernels. Type 1: Tradional Skeleton kernel (4 connected skeleton) Type 2: HIPR2 Skeleton kernel (8 connected skeleton) Type 3: Thinning skeleton based on a ressearch paper by Dan S. Bloomberg (Default Type) ThinSE:type A huge variety of Thinning Kernels designed to preserve conectivity. many other kernel sets use these kernels as source definitions. Type numbers are 41-49, 81-89, 481, and 482 which are based on the super and sub notations used in the source research paper. </dd>
[all...] |
| /external/libvpx/libvpx/ |
| vpxenc.c | [all...] |
| /external/python/cpython3/Lib/test/support/ |
| __init__.py | [all...] |
