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/external/tensorflow/tensorflow/python/data/experimental/benchmarks/
Dmap_and_batch_benchmark.py68 def compute_num_iters(map_num_calls, inter_op, element_size, batch_size): argument
72 inter_op))
91 def make_name(label, map_num_calls, inter_op, element_size, batch_size, argument
106 inter_op,
112 for (map_num_calls, inter_op, element_size, batch_size, batch_num_calls,
114 num_iters = compute_num_iters(map_num_calls, inter_op, element_size,
118 name = make_name(label, map_num_calls, inter_op, element_size, batch_size,
122 inter_op_parallelism_threads=inter_op, use_per_session_threads=True)
134 (map_num_calls, inter_op, element_size, batch_size,
/external/openthread/script/
Dtest62 INTER_OP="${INTER_OP:-0}"
63 readonly INTER_OP
237 if [[ ${THREAD_VERSION} != "1.1" && ${INTER_OP} == "1" ]]; then
289 if [[ ${INTER_OP} == "1" ]]; then
308 if [[ ${INTER_OP} == "1" ]]; then
513INTER_OP 1 to build 1.1 together. Only works when THREAD_VERSION is 1.4. The default is 0.
546 # Test Thread 1.4 with real time, use 'INTER_OP=1' when the case needs both versions.
548 INTER_OP=1 VIRTUAL_TIME=0 $0 clean build cert tests/scripts/thread-cert/v1_2_router_5_1_1.py
549 INTER_OP=1 VIRTUAL_TIME=0 $0 clean build cert_suite tests/scripts/thread-cert/v1_2_*
/external/tensorflow/tensorflow/core/common_runtime/
Dprocess_util.cc126 const int32_t inter_op = options.config.inter_op_parallelism_threads(); in NumInterOpThreadsFromSessionOptions() local
127 if (inter_op > 0) return inter_op; in NumInterOpThreadsFromSessionOptions()
134 // Setting inter_op conservatively to avoid thread oversubscription that in NumInterOpThreadsFromSessionOptions()
Ddirect_session_test.cc2015 // Runs session to compute <node>:0 using inter_op thread pool <pool>. in TestSessionInterOpThreadsImpl()
2084 // as they are in inter_op pool #2. in TestSessionInterOpThreadsImpl()
/external/openthread/.github/workflows/
Dotbr.yml55 INTER_OP: 1
175 INTER_OP: 1
Dsimulation-1.4.yml58 INTER_OP: 1
131 INTER_OP: 1
359 INTER_OP: 1
/external/ot-br-posix/.github/workflows/
Dborder_router.yml142 INTER_OP: 0
/external/tensorflow/tensorflow/python/distribute/
Dmulti_worker_test_base.py134 # The cluster may hang if workers don't have enough inter_op threads. See