| /art/runtime/ |
| thread_pool.h | 113 ThreadPool(const char* name, size_t num_threads, bool create_peers = false);
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| /external/eigen/Eigen/src/Core/products/ |
| Parallelizer.h | 134 #pragma omp parallel num_threads(threads)
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| /external/mesa3d/src/gallium/drivers/llvmpipe/ |
| lp_setup_context.h | 89 unsigned num_threads; member in struct:lp_setup_context
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| /external/pdfium/third_party/libopenjpeg20/ |
| opj_codec.h | 165 OPJ_BOOL(*opj_set_threads)(void * p_codec, OPJ_UINT32 num_threads);
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| backend.h | 53 BackendOptions& set_intra_op_parallelism_threads(int num_threads);
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| /external/tensorflow/tensorflow/core/framework/ |
| device_base.h | 110 int num_threads = 0; member in struct:tensorflow::DeviceBase::CpuWorkerThreads
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| /external/tensorflow/tensorflow/core/kernels/data/ |
| parallel_interleave_dataset_op.cc | 132 int64 num_threads() const { function in class:tensorflow::__anon39748::ParallelInterleaveDatasetOp::Dataset
189 workers_(dataset()->num_threads()) {}
351 worker_threads_.reserve(dataset()->num_threads());
352 for (int64 i = 0; i < dataset()->num_threads(); ++i) {
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| /external/tensorflow/tensorflow/core/kernels/ |
| nth_element_op.cc | 119 Shard(worker_threads.num_threads, worker_threads.workers, num_rows,
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| sparse_matmul_op.cc | 844 bool transpose_left, int num_threads,
1233 int num_threads = std::min(thread_pool->num_threads, 16); local
1356 int num_threads = thread_pool->num_threads; local
1430 const int num_threads = thread_pool->num_threads; local
1528 const int num_threads = thread_pool->num_threads; local
[all...] |
| diag_op.cc | 142 Shard(worker_threads.num_threads, worker_threads.workers, size, 5 * size,
162 Shard(worker_threads.num_threads, worker_threads.workers, size, 5,
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| reduction_gpu_kernels.cu.h | 176 template <typename T, typename outT, int num_threads, typename Op>
196 typedef cub::BlockReduce<value_type, num_threads> BlockReduce;
205 max(min(num_elems - bid * blockDim.x, num_threads), 0);
455 const int num_threads = 256; local
456 BlockReduceKernel<IN_T, OUT_T, num_threads>
457 <<<num_blocks, num_threads, 0, cu_stream>>>(in, out, in_size, op, init);
460 const int num_threads = 256; local
461 const int num_blocks = std::min(32, Eigen::divup(in_size, num_threads));
476 BlockReduceKernel<IN_T, T*, num_threads>
477 <<<num_blocks, num_threads, 0, cu_stream>>>
[all...] |
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/x86_64-linux/include/c++/4.8/parallel/ |
| search.h | 117 # pragma omp parallel num_threads(__num_threads)
|
| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/c++/4.8.3/parallel/ |
| search.h | 117 # pragma omp parallel num_threads(__num_threads)
|
| /cts/hostsidetests/theme/ |
| generate_images.py | 86 def execute_parallel(tasks, setup, q, num_threads):
89 for i in range(num_threads):
|
| /external/libvpx/libvpx/test/ |
| vp9_thread_test.cc | 157 // Decodes |filename| with |num_threads|. Returns the md5 of the decoded frames.
158 string DecodeFile(const string &filename, int num_threads) {
163 cfg.threads = num_threads;
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| /external/mesa3d/src/gallium/drivers/softpipe/ |
| sp_compute.c | 111 int g_w, int g_h, int g_d, int num_threads,
119 for (i = 0; i < num_threads; i++) {
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| estimators_test.py | 58 input_pipeline.NumpyReader(features), shuffle_seed=2, num_threads=1,
61 input_pipeline.NumpyReader(features), shuffle_seed=3, num_threads=1,
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| input_pipeline.py | 627 jitter=True, num_threads=2, shuffle_seed=None):
660 num_threads: Use this number of threads for queues. Setting a value of 1
665 `num_threads=1`, provides deterministic behavior.
677 if num_threads is None:
680 self._num_threads = num_threads
[all...] |
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| feeding_queue_runner_test.py | 70 q = enqueue_data(array, capacity=128, num_threads=8, shuffle=True)
119 q = enqueue_data(df, capacity=128, num_threads=8, shuffle=True)
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| bucket_ops_test.py | 109 num_threads=10,
142 # Must resort the output because num_threads > 1 leads to
159 num_threads=1,
201 num_threads=10,
249 # Must resort the output because num_threads > 1 leads to
266 # Must resort the output because num_threads > 1 leads to
282 num_threads=10,
362 num_threads=10))
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| /external/tensorflow/tensorflow/core/platform/ |
| file_system.cc | 46 int num_threads = std::min(kNumThreads, last - first);
47 thread::ThreadPool threads(Env::Default(), "ForEach", num_threads);
|
| /external/tensorflow/tensorflow/python/estimator/inputs/queues/ |
| feeding_queue_runner_test.py | 73 q = ff._enqueue_data(array, capacity=128, num_threads=8, shuffle=True)
122 q = ff._enqueue_data(df, capacity=128, num_threads=8, shuffle=True)
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| feeding_functions.py | 346 num_threads=1,
368 num_threads: number of threads used for reading and enqueueing.
423 if num_threads > 1 and num_epochs is not None:
425 "enqueue_data was called with num_epochs and num_threads > 1. "
430 if shuffle and num_threads > 1 and num_epochs is not None:
432 "enqueue_data was called with shuffle=True, num_threads > 1, and "
437 if not shuffle and num_threads > 1:
439 "enqueue_data was called with shuffle=False and num_threads > 1. "
468 for i in range(num_threads):
|
| /external/tensorflow/tensorflow/core/common_runtime/ |
| direct_session.cc | 81 const int32 num_threads = NumInterOpThreadsFromSessionOptions(options); local
82 VLOG(1) << "Direct session inter op parallelism threads: " << num_threads;
83 return new thread::ThreadPool(options.env, "Compute", num_threads);
90 int32 num_threads = thread_pool_options.num_threads(); local
91 if (num_threads == 0) {
92 num_threads = NumInterOpThreadsFromSessionOptions(options);
98 << pool_number << ": " << num_threads; local
100 options.env, strings::StrCat("Compute", pool_number), num_threads);
113 mvalue->first = thread_pool_options.num_threads();
[all...] |
| /external/opencv/cv/src/ |
| cvtemplmatch.cpp | 52 int k, num_threads = 0; local
134 num_threads = cvGetNumThreads();
136 for( k = 0; k < num_threads; k++ )
151 for( k = 0; k < num_threads; k++ )
193 #pragma omp parallel for num_threads(num_threads) schedule(dynamic)
299 for( k = 0; k < num_threads; k++ )
|
