/external/lz4/tests/ |
H A D | datagencli.c | 80 double proba = (double)COMPRESSIBILITY_DEFAULT / 100; local 130 proba=0.0; 133 proba *= 10; 134 proba += *argument - '0'; 137 if (proba>100.) proba=100.; 138 proba /= 100.; 166 if (proba!=COMPRESSIBILITY_DEFAULT) DISPLAYLEVEL(3, "Compressibility : %i%%\n", (U32)(proba*100)); 168 RDG_genOut(size, proba, litProb [all...] |
H A D | frametest.c | 124 static void FUZ_fillCompressibleNoiseBuffer(void* buffer, size_t bufferSize, double proba, U32* seed) argument 128 U32 P32 = (U32)(32768 * proba); 751 int proba = FUZ_COMPRESSIBILITY_DEFAULT; local 845 proba=0; 847 proba *= 10; 848 proba += *argument - '0'; 851 if (proba<0) proba=0; 852 if (proba>100) proba [all...] |
H A D | fuzzer.c | 122 static void FUZ_fillCompressibleNoiseBuffer(void* buffer, size_t bufferSize, double proba, U32* seed) argument 126 U32 const P32 = (U32)(32768 * proba); 992 int proba = FUZ_COMPRESSIBILITY_DEFAULT; local 1080 proba=0; 1082 proba *= 10; 1083 proba += *argument - '0'; 1086 if (proba<0) proba=0; 1087 if (proba>100) proba [all...] |
/external/webp/src/enc/ |
H A D | cost_enc.h | 44 // Record proba context used. 58 // Cost of coding one event with probability 'proba'. 59 static WEBP_INLINE int VP8BitCost(int bit, uint8_t proba) { argument 60 return !bit ? VP8EntropyCost[proba] : VP8EntropyCost[255 - proba]; 65 void VP8CalculateLevelCosts(VP8EncProba* const proba);
|
H A D | frame_enc.c | 92 // Reset the statistics about: number of skips, token proba, level cost,... 95 VP8EncProba* const proba = &enc->proba_; local 96 VP8CalculateLevelCosts(proba); 97 proba->nb_skip_ = 0; 111 VP8EncProba* const proba = &enc->proba_; local 113 const int nb_events = proba->nb_skip_; 115 proba->skip_proba_ = CalcSkipProba(nb_events, nb_mbs); 116 proba->use_skip_proba_ = (proba->skip_proba_ < SKIP_PROBA_THRESHOLD); 118 if (proba 134 BranchCost(int nb, int total, int proba) argument 139 VP8EncProba* const proba = &enc->proba_; local 143 FinalizeTokenProbas(VP8EncProba* const proba) argument 766 VP8EncProba* const proba = &enc->proba_; local [all...] |
H A D | cost_enc.c | 60 void VP8CalculateLevelCosts(VP8EncProba* const proba) { argument 63 if (!proba->dirty_) return; // nothing to do. 69 const uint8_t* const p = proba->coeffs_[ctype][band][ctx]; 70 uint16_t* const table = proba->level_cost_[ctype][band][ctx]; 84 proba->remapped_costs_[ctype][n][ctx] = 85 proba->level_cost_[ctype][VP8EncBands[n]][ctx]; 89 proba->dirty_ = 0;
|
H A D | token_enc.c | 34 // bit #14: flags for constant proba or idx 35 // bits #0..13: slot or constant proba 104 uint32_t bit, uint32_t proba) { 105 assert(proba < 256); 109 b->tokens_[slot] = (bit << 15) | FIXED_PROBA_BIT | proba; 213 VP8PutBit(bw, bit, token & 0xffu); // constant proba 103 AddConstantToken(VP8TBuffer* const b, uint32_t bit, uint32_t proba) argument
|
H A D | syntax_enc.c | 190 const VP8EncProba* const proba = &enc->proba_; local 208 if (VP8PutBitUniform(bw, (proba->segments_[s] != 255u))) { 209 VP8PutBits(bw, proba->segments_[s], 8); 284 VP8PutBitUniform(bw, 0); // no proba update
|
/external/webp/src/dec/ |
H A D | tree_dec.c | 284 void VP8ResetProba(VP8Proba* const proba) { argument 285 memset(proba->segments_, 255u, sizeof(proba->segments_)); 286 // proba->bands_[][] is initialized later 511 VP8Proba* const proba = &dec->proba_; local 519 proba->bands_[t][b].probas_[c][p] = v; 524 proba->bands_ptr_[t][b] = &proba->bands_[t][kBands[b]];
|
H A D | vp8i_dec.h | 275 void VP8ResetProba(VP8Proba* const proba);
|
H A D | vp8_dec.c | 161 VP8SegmentHeader* hdr, VP8Proba* proba) { 180 proba->segments_[s] = VP8Get(br) ? VP8GetValue(br, 8) : 255u; 160 ParseSegmentHeader(VP8BitReader* br, VP8SegmentHeader* hdr, VP8Proba* proba) argument
|
/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
H A D | target_column.py | 163 def logits_to_predictions(self, logits, proba=False): 271 def logits_to_predictions(self, logits, proba=False): 280 predictions = self.logits_to_predictions(logits, proba=False) 301 def logits_to_predictions(self, logits, proba=False): 305 if proba: 354 class_predictions = self.logits_to_predictions(logits, proba=False) 359 predictions = self.logits_to_predictions(logits, proba=True) 386 def logits_to_predictions(self, logits, proba=False): 387 if proba:
|
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
H A D | quantized_distribution_test.py | 336 proba = qdist.log_prob(x) 337 grads = gradients_impl.gradients(proba, [mu, sigma]) 340 self._assert_all_finite(proba.eval()) 355 proba = qdist.prob(x) 356 self._assert_all_finite(proba.eval()) 358 grads = gradients_impl.gradients(proba, [mu, sigma])
|
/external/tensorflow/tensorflow/python/keras/_impl/keras/wrappers/ |
H A D | scikit_learn_test.py | 67 proba = clf.predict_proba(x_test, batch_size=BATCH_SIZE) 68 assert proba.shape == (TEST_SAMPLES, NUM_CLASSES) 69 assert np.allclose(np.sum(proba, axis=1), np.ones(TEST_SAMPLES))
|
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
H A D | rnn_common.py | 281 flattened_activations, proba=True) 295 flattened_activations, proba=False)
|
H A D | dynamic_rnn_estimator.py | 291 last_activations, proba=True) 297 last_activations, proba=False)
|
H A D | dynamic_rnn_estimator_test.py | 77 def logits_to_predictions(self, flattened_activations, proba=False):
|
/external/tensorflow/tensorflow/python/keras/_impl/keras/ |
H A D | models.py | 1044 proba = self.predict(x, batch_size=batch_size, verbose=verbose) 1045 if proba.shape[-1] > 1: 1046 return proba.argmax(axis=-1) 1048 return (proba > 0.5).astype('int32')
|
/external/libvpx/libvpx/vp8/encoder/ |
H A D | bitstream.c | 195 const unsigned char *proba = b->prob; local 202 split = 1 + (((range - 1) * proba[i >> 1]) >> 8);
|