| /prebuilts/clang/host/darwin-x86/clang-4479392/include/llvm/Analysis/ |
| BlockFrequencyInfoImpl.h | 207 ExitMap Exits; ///< Successor edges (and weights).
348 /// This class collates the successor edge weights for later processing.
354 WeightList Weights; ///< Individual successor weights.
355 uint64_t Total; ///< Sum of all weights.
374 /// This is linear in the size of \a Weights. For the vast majority of
375 /// cases, adjacent edge weights are combined by sorting WeightList and
376 /// combining adjacent weights. However, for very large edge lists an
455 /// This adjusts header mass distribution so it matches the weights of
723 /// - Normalize the distribution: scale weights down so that their su
[all...] |
| /prebuilts/clang/host/linux-x86/clang-4393122/include/llvm/Analysis/ |
| BlockFrequencyInfoImpl.h | 207 ExitMap Exits; ///< Successor edges (and weights).
348 /// This class collates the successor edge weights for later processing.
354 WeightList Weights; ///< Individual successor weights.
355 uint64_t Total; ///< Sum of all weights.
374 /// This is linear in the size of \a Weights. For the vast majority of
375 /// cases, adjacent edge weights are combined by sorting WeightList and
376 /// combining adjacent weights. However, for very large edge lists an
455 /// This adjusts header mass distribution so it matches the weights of
723 /// - Normalize the distribution: scale weights down so that their su
[all...] |
| /prebuilts/clang/host/linux-x86/clang-4479392/include/llvm/Analysis/ |
| BlockFrequencyInfoImpl.h | 207 ExitMap Exits; ///< Successor edges (and weights).
348 /// This class collates the successor edge weights for later processing.
354 WeightList Weights; ///< Individual successor weights.
355 uint64_t Total; ///< Sum of all weights.
374 /// This is linear in the size of \a Weights. For the vast majority of
375 /// cases, adjacent edge weights are combined by sorting WeightList and
376 /// combining adjacent weights. However, for very large edge lists an
455 /// This adjusts header mass distribution so it matches the weights of
723 /// - Normalize the distribution: scale weights down so that their su
[all...] |
| /external/fio/tools/hist/ |
| fiologparser_hist.py.1 | 92 See weights() method for details on how weights are computed for individual
|
| /external/gemmlowp/doc/ |
| public.md | 118 The rationale is that the LHS is typically the constant weights of a neural
119 network layer (e.g. the weights of a Convolutional layer implemented as a matrix
|
| /external/libopus/src/ |
| mlp_data.c | 10 static const float weights[450] = { variable
111 weights
|
| /external/ltp/utils/ffsb-6.0-rc2/ |
| ffsb_tg.c | 64 /* Sum up the weights for use later by tg_get_op() */
294 printf("\t op weights\n");
|
| /external/skia/src/core/ |
| SkPathPriv.h | 151 /** Returns the number of conic weights in the path */
156 /** Returns a raw pointer to the path conic weights. */
|
| /external/skia/src/gpu/effects/ |
| GrBicubicEffect.cpp | 51 * Filter weights come from Don Mitchell & Arun Netravali's 'Reconstruction Filters in Computer
64 * source of the specific weights below.
|
| /external/skqp/src/gpu/effects/ |
| GrBicubicEffect.cpp | 51 * Filter weights come from Don Mitchell & Arun Netravali's 'Reconstruction Filters in Computer
64 * source of the specific weights below.
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/training/functions/ |
| gbdt_batch.py | 552 # Get the weights for each example for quantiles calculation,
553 weights = self._get_weights(hessian_shape, squeezed_hessians)
733 empty_gradients, empty_hessians, weights, is_active,
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| target_column_test.py | 156 weight_column_name="weights")
159 features = {"weights": constant_op.constant([2.0, 10.0])}
|
| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.keras.-model.pbtxt | 110 name: "weights"
255 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
|
| tensorflow.keras.-sequential.pbtxt | 119 name: "weights"
280 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
|
| tensorflow.keras.models.-model.pbtxt | 110 name: "weights"
255 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
|
| tensorflow.keras.models.-sequential.pbtxt | 119 name: "weights"
280 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
|
| /external/trappy/tests/ |
| test_thermal.py | 112 weights = zip(self.actor_order, [1024, 256, 512])
115 gov.plot_weighted_input_power(weights, ax=ax)
|
| /frameworks/ml/nn/common/include/ |
| Operations.h | 154 const float* weights, const Shape& weightsShape,
159 const uint8_t* weights, const Shape& weightsShape,
|
| /prebuilts/misc/darwin-x86_64/freetype/include/freetype2/ |
| ftcffdrv.h | 84 * be the more critical direction anyway; the weights and spacing of
92 * 2) Aligment in the vertical direction: Weights and spacing along the
|
| /external/autotest/client/site_tests/firmware_TouchMTB/ |
| firmware_log.py | 624 weight. The purpose is to merge the weights of split validators, e.g.
625 Linearity(*)Validator, so that their weights are not counted multiple
638 the relative weights defined by segment_weights.
727 _, weights = zip(*sorted(self.ext_validator_weights[fw].items()))
728 weighted_average[fw] = np.average(scores, weights=weights)
|
| /external/autotest/client/site_tests/power_Consumption/ |
| power_Consumption.py | 522 # Calculate a weighted power draw and battery life time. The weights
526 weights = {'vid400p_h264_system_pwr_avg':0.1,
530 weights[idle_name] = 1 - sum(weights.values())
532 if set(weights).issubset(set(keyvals)):
533 p = sum(w * keyvals[k] for (k, w) in weights.items())
|
| /external/icu/android_icu4j/src/main/java/android/icu/impl/coll/ |
| CollationFastLatinBuilder.java | 293 // We support non-common secondary and case weights only together with short primaries.
299 // No below-common tertiary weights.
312 // We support non-common secondary and case weights
318 // No below-common tertiary weights.
321 // No quaternary weights.
419 // Note: At least one of the p/s/t weights changes from one unique CE to the next.
|
| /external/icu/icu4c/source/i18n/ |
| collationfastlatinbuilder.cpp | 308 // We support non-common secondary and case weights only together with short primaries.
314 // No below-common tertiary weights.
327 // We support non-common secondary and case weights
333 // No below-common tertiary weights.
336 // No quaternary weights.
449 // Note: At least one of the p/s/t weights changes from one unique CE to the next.
|
| /external/icu/icu4j/main/classes/collate/src/com/ibm/icu/impl/coll/ |
| CollationFastLatinBuilder.java | 292 // We support non-common secondary and case weights only together with short primaries.
298 // No below-common tertiary weights.
311 // We support non-common secondary and case weights
317 // No below-common tertiary weights.
320 // No quaternary weights.
418 // Note: At least one of the p/s/t weights changes from one unique CE to the next.
|
| /external/swiftshader/third_party/PowerVR_SDK/Tools/ |
| PVRTBoneBatch.cpp | 396 const int nOffsetWeight, // Offset in bytes to the vertex bone-weights
397 EPVRTDataType eTypeWeight, // Data type of the vertex bone-weights
418 @Input nOffsetWeight Offset in bytes to the vertex bone-weights
419 @Input eTypeWeight Data type of the vertex bone-weights
659 @Input nOffsetWeight Offset in bytes to the vertex bone-weights
660 @Input eTypeWeight Data type of the vertex bone-weights
|
