| /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/native/ |
| sparse_weight_vector.cpp | 38 for (Witer_const iter = w_.begin();
39 iter != w_.end();
52 for (Witer_const iter = w1.w_.begin();
53 iter != w1.w_.end();
55 w_[iter->first] += ((multiplier * iter->second) / w1.normalizer_
66 for (Witer_const iter = w1.w_.begin();
67 iter != w1.w_.end();
69 w_[iter->first] += ((multiplier * iter->second * iter->second) /
81 for (Witer_const iter = w1.w_.begin();
82 iter != w1.w_.end()
[all...] |
| sparse_weight_vector.h | 52 w_ = other.w_;
101 GetValue(w_, fname, &val);
106 w_[fname] = val;
109 w_[fname] += val;
112 w_[fname] *= val;
116 w_.clear();
117 w_.insert(vec.w_.begin(), vec.w_.end())
167 Wmap w_; member in class:learning_stochastic_linear::SparseWeightVector
[all...] |
| /external/valgrind/unittest/ |
| thread_wrappers_win.h | 198 :w_(worker), arg_(arg), name_(name), t_(NULL) {}
200 :w_(reinterpret_cast<worker_t>(worker)), arg_(arg), name_(name), t_(NULL) {}
202 :w_(reinterpret_cast<worker_t>(worker)), arg_(arg), name_(name), t_(NULL) {}
223 my_thread->w_(my_thread->arg_);
228 worker_t w_; member in class:MyThread
|
| thread_wrappers_pthread.h | 339 :w_(worker), arg_(arg), name_(name) {}
341 :w_(reinterpret_cast<worker_t>(worker)), arg_(arg), name_(name) {}
343 :w_(reinterpret_cast<worker_t>(worker)), arg_(arg), name_(name) {}
345 ~MyThread(){ w_ = NULL; arg_ = NULL;}
354 my_thread->w_(my_thread->arg_);
357 worker_t w_; member in class:MyThread
|
| /external/ceres-solver/internal/ceres/ |
| parameter_block_ordering_test.cc | 69 problem_.AddParameterBlock(w_, 6);
76 z_, x_, w_);
80 double x_[3], y_[4], z_[5], w_[6]; member in class:ceres::internal::SchurOrderingTest
128 problem_.SetParameterBlockConstant(w_);
|
| /external/regex-re2/re2/ |
| prog.h | 26 w_[i] = 0;
29 return w_[k >> WordLog] & (1<<(k & 31));
32 w_[k >> WordLog] |= 1<<(k & 31);
35 w_[k >> WordLog] &= ~(1<<(k & 31));
38 return w_[i];
44 uint32 w_[Words]; member in class:re2::Bitmap
|
| /external/valgrind/main/drd/tests/ |
| tsan_thread_wrappers_pthread.h | 347 :w_(worker), arg_(arg), name_(name) {}
349 :w_(reinterpret_cast<worker_t>(worker)), arg_(arg), name_(name) {}
351 :w_(reinterpret_cast<worker_t>(worker)), arg_(arg), name_(name) {}
353 ~MyThread(){ w_ = NULL; arg_ = NULL;}
362 my_thread->w_(my_thread->arg_);
365 worker_t w_; member in class:MyThread
|
| /frameworks/ml/bordeaux/learning/stochastic_linear_ranker/jni/ |
| jni_stochastic_linear_ranker.cpp | 54 SparseWeightVector<string>::Wmap w_ = sample->GetMap(); local
56 for ( SparseWeightVector<string>::Witer_const iter = w_.begin();
57 iter != w_.end(); ++iter) {
|
| /external/v8/tools/gcmole/ |
| gcmole.lua | 53 local flag = arg[i]:match "^%-%-([%w_-]+)$"
55 local no, real_flag = flag:match "^(no)([%w_-]+)$"
|
| /external/v8/src/ |
| gdb-jit.cc | 77 Slot(Writer* w, uintptr_t offset) : w_(w), offset_(offset) { }
80 return w_->RawSlotAt<T>(offset_);
84 *w_->RawSlotAt<T>(offset_) = value;
88 return Slot<T>(w_, offset_ + sizeof(T) * i);
92 Writer* w_; member in class:v8::internal::BASE_EMBEDDED::Slot
[all...] |
