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Searched refs:ParallelExecute (Results 1 – 4 of 4) sorted by relevance

/external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/
Dtf_device_ops.td133 ParallelExecute op concurrently executes variadic number of regions. Regions
136 ParallelExecute ops can be used instead. As so, regions within
137 ParallelExecute op must not have control/data dependencies.
139 While explicit dependencies between regions are disallowed, ParallelExecute
141 communication via send/recvs). In this case, users of ParallelExecute op
143 correctness. Regions in ParallelExecute may include Resource ops.
146 the users of the ParallelExecute op must provide mechanism (via send/recvs
149 ops before/after ParallelExecute ops are guaranteed. That is, execution of
150 regions inside ParallelExecute op is blocked until all inputs to all regions
151 are materialized and ops following ParallelExecute op are blocked until all
/external/autotest/utils/
Dparallel.py11 class ParallelExecute(object): class
Dunittest_suite.py245 pe = parallel.ParallelExecute(functions, **dargs)
/external/tensorflow/tensorflow/core/kernels/
Dscatter_functor.h140 Index ParallelExecute(OpKernelContext* c, const Device& d,
228 return ParallelExecute(c, d, params, updates, indices);