/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;
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/device/google/marlin/ |
preloads_copy.sh | 27 # Parallelize by copying subfolders and files in the background
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/external/tensorflow/tensorflow/compiler/tf2xla/ |
xla_gpu_backend.cc | 22 // TODO(b/31361304): The GPU backend does not parallelize PRNG ops, leading to
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/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.
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/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.
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/external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/ |
parallel_for.cc | 25 // Parallelize work over the batch.
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/external/tensorflow/tensorflow/core/grappler/optimizers/ |
auto_parallel.h | 26 // Automatically parallelize a graph by splitting in the batch dimension.
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/external/turbine/java/com/google/turbine/main/ |
Main.java | 78 // TODO(cushon): parallelize 97 // TODO(cushon): parallelize
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/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,
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/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,
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template-params.xml | 77 The RenderScript runtime will parallelize work across all processors available on a device, such as multi-core CPUs,
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/external/llvm/lib/Support/ |
DeltaAlgorithm.cpp | 72 // FIXME: Parallelize.
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/external/swiftshader/third_party/LLVM/lib/Support/ |
DeltaAlgorithm.cpp | 72 // FIXME: Parallelize.
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/external/tensorflow/tensorflow/contrib/boosted_trees/lib/models/ |
multiple_additive_trees.cc | 74 // TODO(salehay): parallelize this for low latency in serving path where
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/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`
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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
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/external/e2fsprogs/misc/ |
base_device.c | 65 * on one disk, since we don't know how to parallelize them.
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/external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
cpu_parallelization_preparation.cc | 50 // Skip parameters and constants, there is nothing to parallelize.
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/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.
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cholesky_op.cc | 147 // TODO(rmlarsen): Parallelize over batches if it turns out to be
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concat_lib_cpu.h | 48 // with standard POD, so we parallelize differently.
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/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
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/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
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/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
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/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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