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  /external/junit/src/main/java/org/junit/experimental/
ParallelComputer.java 32 private static Runner parallelize(Runner runner) { method in class:ParallelComputer
58 return this.classes ? parallelize(suite) : suite;
65 return methods ? parallelize(runner) : runner;
  /device/google/marlin/
preloads_copy.sh 27 # Parallelize by copying subfolders and files in the background
  /external/tensorflow/tensorflow/compiler/tf2xla/
xla_gpu_backend.cc 22 // TODO(b/31361304): The GPU backend does not parallelize PRNG ops, leading to
  /external/tensorflow/tensorflow/compiler/xla/service/gpu/
parallel_loop_emitter.h 33 // `thread_count` is the number of threads to parallelize the loop on.
63 // The thread and block dimension to parallelize the loop on.
  /external/tensorflow/tensorflow/contrib/boosted_trees/lib/learner/common/partitioners/
example_partitioner.cc 50 // Parallelize partitioning over the batch.
83 // Parallelize partitioning over the batch.
  /external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/
parallel_for.cc 25 // Parallelize work over the batch.
  /external/tensorflow/tensorflow/core/grappler/optimizers/
auto_parallel.h 26 // Automatically parallelize a graph by splitting in the batch dimension.
  /external/turbine/java/com/google/turbine/main/
Main.java 78 // TODO(cushon): parallelize
97 // TODO(cushon): parallelize
  /developers/build/prebuilts/gradle/BasicRenderScript/
README.md 16 The RenderScript runtime will parallelize work across all processors available on a device, such as multi-core CPUs,
  /developers/samples/android/renderScript/BasicRenderScript/
README.md 16 The RenderScript runtime will parallelize work across all processors available on a device, such as multi-core CPUs,
template-params.xml 77 The RenderScript runtime will parallelize work across all processors available on a device, such as multi-core CPUs,
  /external/llvm/lib/Support/
DeltaAlgorithm.cpp 72 // FIXME: Parallelize.
  /external/swiftshader/third_party/LLVM/lib/Support/
DeltaAlgorithm.cpp 72 // FIXME: Parallelize.
  /external/tensorflow/tensorflow/contrib/boosted_trees/lib/models/
multiple_additive_trees.cc 74 // TODO(salehay): parallelize this for low latency in serving path where
  /external/tensorflow/tensorflow/docs_src/performance/
datasets_performance.md 130 ### Parallelize Data Transformation
184 ### Parallelize Data Extraction
209 transformation to parallelize the execution of and interleave the contents of
312 * Parallelize the `map` transformation by setting the `num_parallel_calls`
performance_models.md 39 ### Parallelize I/O Reads
41 `data_flow_ops.RecordInput` is used to parallelize reading from disk. Given a
51 ### Parallelize Image Processing
76 ### Parallelize CPU-to-GPU Data Transfer
  /external/e2fsprogs/misc/
base_device.c 65 * on one disk, since we don't know how to parallelize them.
  /external/tensorflow/tensorflow/compiler/xla/service/cpu/
cpu_parallelization_preparation.cc 50 // Skip parameters and constants, there is nothing to parallelize.
  /external/tensorflow/tensorflow/core/kernels/
batch_matmul_op_impl.h 217 // Parallelize over inner dims.
218 // For large matrix products it is counter-productive to parallelize
224 // Parallelize over outer dims. For small matrices and large batches, it
225 // is counter-productive to parallelize the inner matrix multiplies.
cholesky_op.cc 147 // TODO(rmlarsen): Parallelize over batches if it turns out to be
concat_lib_cpu.h 48 // with standard POD, so we parallelize differently.
  /prebuilts/clang/host/darwin-x86/clang-4579689/include/lld/Common/
Threads.h 54 // although it would be very hard to parallelize it. You want to first
  /prebuilts/clang/host/darwin-x86/clang-4630689/include/lld/Common/
Threads.h 54 // although it would be very hard to parallelize it. You want to first
  /prebuilts/clang/host/darwin-x86/clang-4639204/include/lld/Common/
Threads.h 54 // although it would be very hard to parallelize it. You want to first
  /prebuilts/clang/host/darwin-x86/clang-4691093/include/lld/Common/
Threads.h 54 // although it would be very hard to parallelize it. You want to first

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