Searched refs:augment (Results 1 - 10 of 10) sorted by relevance
| /external/libxkbcommon/xkbcommon/src/xkbcomp/ |
| H A D | keywords.c | 148 char stringpool_str7[sizeof("augment")];
196 "augment",
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| /external/valgrind/coregrind/ |
| H A D | m_commandline.c | 160 Bool augment = True; local
192 augment = False;
213 if (augment) {
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| /external/tensorflow/tensorflow/examples/how_tos/reading_data/ |
| H A D | fully_connected_reader.py | 68 def augment(image, label): function
116 dataset = dataset.map(augment)
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| /external/libdrm/ |
| H A D | xf86drmMode.c | 1518 int drmModeAtomicMerge(drmModeAtomicReqPtr base, drmModeAtomicReqPtr augment) argument
1523 if (!augment || augment->cursor == 0)
1526 if (base->cursor + augment->cursor >= base->size_items) {
1530 base->size_items = base->cursor + augment->cursor;
1540 memcpy(&base->items[base->cursor], augment->items,
1541 augment->cursor * sizeof(*augment->items));
1542 base->cursor += augment->cursor;
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| H A D | xf86drmMode.h | 525 drmModeAtomicReqPtr augment);
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/preprocessing/ |
| H A D | image_test.py | 86 generator.fit(images, augment=True)
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| H A D | image.py | 668 """Randomly augment a single image tensor.
767 def fit(self, x, augment=False, rounds=1, seed=None):
778 augment: Whether to fit on randomly augmented samples
779 rounds: If `augment`,
804 if augment:
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| /external/python/cpython2/Parser/ |
| H A D | spark.py | 109 self.augment(start)
160 self.augment(start)
205 def augment(self, start): member in class:GenericParser
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| /external/annotation-tools/annotation-file-utilities/ |
| H A D | annotation-file-format.tex | 1387 % It would be easy to use an XML format to augment the one proposed here, but
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| H A D | annotation-file-utilities.jar | META-INF/ META-INF/MANIFEST.MF annotations/ annotations/el/ annotations/field/ annotations/io/ annotations/io/classfile/ ... |
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