loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: loaded library: loaded library: loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220430 02:52:46.143086 5237 rpc_client.cpp:190] LoadServer 10.7.5.234 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batch_size ...................................... 512 batch_size_per_proc ............................. 64 data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord data_part_name_suffix_length .................... 5 data_part_num ................................... 256 dataset_format .................................. ofrecord ddp ............................................. True deep_dropout_rate ............................... 0.5 deep_embedding_vec_size ......................... 16 deep_vocab_size ................................. 2322444 eval_after_training ............................. False eval_batchs ..................................... 20 eval_interval ................................... 0 execution_mode .................................. eager hidden_size ..................................... 1024 hidden_units_num ................................ 2 learning_rate ................................... 0.001 loss_print_every_n_iter ......................... 100 max_iter ........................................ 1100 model_load_dir .................................. model_save_dir .................................. ./checkpoint num_deep_sparse_fields .......................... 26 num_dense_fields ................................ 13 num_wide_sparse_fields .......................... 2 save_initial_model .............................. False save_model_after_each_eval ...................... False test_name ....................................... noname_test wide_vocab_size ................................. 2322444 -------------------- end of arguments --------------------- [rank:0] iter: 100/1100, loss: 0.5362141132354736, latency(ms): 57.2907837107777596 | 2022-04-30 02:53:03.496 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:53:03.629, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 83 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/04/30 02:53:03.638, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.646, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:53:03.654, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 30410 MiB, 2100 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:53:03.659, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/04/30 02:53:03.660, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/04/30 02:53:03.661, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:53:03.662, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/04/30 02:53:03.665, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30338 MiB, 2172 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:53:03.668, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.667, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/04/30 02:53:03.668, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.669, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.670, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.670, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/04/30 02:53:03.674, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.674, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/04/30 02:53:03.677, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/04/30 02:53:03.678, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.680, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/04/30 02:53:03.680, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 56 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.682, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/04/30 02:53:03.682, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.685, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/04/30 02:53:03.686, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/04/30 02:53:03.689, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/04/30 02:53:03.690, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/04/30 02:53:03.690, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/04/30 02:53:03.691, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/04/30 02:53:03.692, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/04/30 02:53:03.693, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/04/30 02:53:03.696, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/04/30 02:53:03.697, Tesla V100-SXM2-32GB, 470.57.02, 20 %, 18 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/04/30 02:53:03.699, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/04/30 02:53:03.700, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/04/30 02:53:03.700, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/04/30 02:53:03.702, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/04/30 02:53:03.703, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/04/30 02:53:03.706, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/04/30 02:53:03.707, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/04/30 02:53:03.709, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.710, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/04/30 02:53:03.711, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.713, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.714, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/04/30 02:53:03.716, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.718, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/04/30 02:53:03.720, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.720, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.721, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.723, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.724, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.727, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.728, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 22 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/04/30 02:53:03.730, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/04/30 02:53:03.730, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.731, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/04/30 02:53:03.733, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/04/30 02:53:03.734, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.736, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/04/30 02:53:03.738, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/04/30 02:53:03.744, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/04/30 02:53:03.747, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/04/30 02:53:03.751, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB [rank:0] iter: 200/1100, loss: 0.4883257746696472, latency(ms): 8.9686704799532890 | 2022-04-30 02:53:04.393 [rank:0] iter: 300/1100, loss: 0.4911911785602570, latency(ms): 6.0662240162491798 | 2022-04-30 02:53:05.000 [rank:0] iter: 400/1100, loss: 0.4905536174774170, latency(ms): 6.9857319816946983 | 2022-04-30 02:53:05.698 [rank:0] iter: 500/1100, loss: 0.4957937598228455, latency(ms): 6.1218835413455963 | 2022-04-30 02:53:06.310 [rank:0] iter: 600/1100, loss: 0.4795171022415161, latency(ms): 6.2141684815287590 | 2022-04-30 02:53:06.932 [rank:0] iter: 700/1100, loss: 0.4714640080928802, latency(ms): 6.5210672467947006 | 2022-04-30 02:53:07.584 [rank:0] iter: 800/1100, loss: 0.4819052815437317, latency(ms): 6.1013115942478180 | 2022-04-30 02:53:08.194 [rank:0] iter: 900/1100, loss: 0.4850961565971375, latency(ms): 6.1067743599414825 | 2022-04-30 02:53:08.805 [rank:0] iter: 1000/1100, loss: 0.4806149005889893, latency(ms): 6.2889255955815315 | 2022-04-30 02:53:09.434 [rank:0] iter: 1100/1100, loss: 0.4740336537361145, latency(ms): 6.1068228632211685 | 2022-04-30 02:53:10.044