Searched refs:valid_size (Results 1 – 6 of 6) sorted by relevance
| /external/tensorflow/tensorflow/examples/tutorials/word2vec/ |
| D | word2vec_basic.py | 156 valid_size = 16 # Random set of words to evaluate similarity on.
158 valid_examples = np.random.choice(valid_window, valid_size, replace=False)
273 for i in xrange(valid_size):
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| /external/skia/src/core/ |
| D | SkFont.cpp | 27 static inline SkScalar valid_size(SkScalar size) { in valid_size() function
33 , fSize(valid_size(size)) in SkFont()
98 fSize = valid_size(size); in setSize()
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| /external/skqp/src/core/ |
| D | SkFont.cpp | 27 static inline SkScalar valid_size(SkScalar size) { in valid_size() function
33 , fSize(valid_size(size)) in SkFont()
98 fSize = valid_size(size); in setSize()
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| /external/tensorflow/tensorflow/examples/udacity/ |
| D | 1_notmnist.ipynb | 553 "def merge_datasets(pickle_files, train_size, valid_size=0):\n",
555 " valid_dataset, valid_labels = make_arrays(valid_size, image_size)\n",
557 " vsize_per_class = valid_size // num_classes\n",
589 "valid_size = 10000\n",
593 " train_datasets, train_size, valid_size)\n",
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| D | 6_lstm.ipynb | 235 "valid_size = 1000\n",
236 "valid_text = text[:valid_size]\n",
237 "train_text = text[valid_size:]\n",
240 "print(valid_size, valid_text[:64])"
696 " for _ in range(valid_size):\n",
701 " valid_logprob / valid_size)))"
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| D | 5_word2vec.ipynb | 418 "valid_size = 16 # Random set of words to evaluate similarity on.\n",
420 "valid_examples = np.array(random.sample(range(valid_window), valid_size))\n",
530 " for i in range(valid_size):\n",
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