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: loaded library: 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/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 W20220515 01:59:51.211277 5240 rpc_client.cpp:190] LoadServer 10.7.54.16 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: 0.5338135361671448, latency(ms): 56.8119639158248901 | 2022-05-15 02:00:08.530 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/15 02:00:08.640, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 74 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/05/15 02:00:08.646, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 79 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/05/15 02:00:08.651, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.657, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.664, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 51 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.670, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 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] 2022/05/15 02:00:08.675, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 73 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.677, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 74 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/05/15 02:00:08.679, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 74 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/05/15 02:00:08.681, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/05/15 02:00:08.681, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 74 %, 32510 MiB, 30338 MiB, 2172 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/15 02:00:08.685, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/15 02:00:08.687, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/05/15 02:00:08.689, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/15 02:00:08.692, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.691, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/15 02:00:08.693, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 73 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.693, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/05/15 02:00:08.695, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.697, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/05/15 02:00:08.698, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.699, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/05/15 02:00:08.699, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB 2022/05/15 02:00:08.700, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.701, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/05/15 02:00:08.703, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.706, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/05/15 02:00:08.706, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 51 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.707, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.708, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB 2022/05/15 02:00:08.709, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 51 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.710, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.711, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 51 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.714, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.714, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/05/15 02:00:08.715, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.716, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB 2022/05/15 02:00:08.720, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/05/15 02:00:08.720, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.722, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/05/15 02:00:08.725, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.725, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.726, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 51 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.727, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 29 %, 32510 MiB, 30410 MiB, 2100 MiB 2022/05/15 02:00:08.728, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.729, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 51 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.730, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.734, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.734, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/05/15 02:00:08.735, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/05/15 02:00:08.736, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB 2022/05/15 02:00:08.738, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/05/15 02:00:08.739, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/05/15 02:00:08.741, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/05/15 02:00:08.744, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/05/15 02:00:08.745, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.746, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 3 %, 32510 MiB, 30350 MiB, 2160 MiB 2022/05/15 02:00:08.748, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.753, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.754, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/05/15 02:00:08.755, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB 2022/05/15 02:00:08.757, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/05/15 02:00:08.761, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB 2022/05/15 02:00:08.763, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 20 %, 32510 MiB, 30374 MiB, 2136 MiB [rank:0] iter: 200/1100, loss: 0.4903278350830078, latency(ms): 8.6618044599890709 | 2022-05-15 02:00:09.396 [rank:0] iter: 300/1100, loss: 0.4964613318443298, latency(ms): 6.2148328498005867 | 2022-05-15 02:00:10.017 [rank:0] iter: 400/1100, loss: 0.4958885312080383, latency(ms): 6.5468683838844299 | 2022-05-15 02:00:10.672 [rank:0] iter: 500/1100, loss: 0.4882822930812836, latency(ms): 6.3851330429315567 | 2022-05-15 02:00:11.310 [rank:0] iter: 600/1100, loss: 0.4860765337944031, latency(ms): 6.3628926128149033 | 2022-05-15 02:00:11.947 [rank:0] iter: 700/1100, loss: 0.4715723693370819, latency(ms): 6.6261183843016624 | 2022-05-15 02:00:12.609 [rank:0] iter: 800/1100, loss: 0.4794699847698212, latency(ms): 6.2984294071793556 | 2022-05-15 02:00:13.239 [rank:0] iter: 900/1100, loss: 0.4818547368049622, latency(ms): 6.4917862787842751 | 2022-05-15 02:00:13.888 [rank:0] iter: 1000/1100, loss: 0.4790855646133423, latency(ms): 6.4326425269246101 | 2022-05-15 02:00:14.532 [rank:0] iter: 1100/1100, loss: 0.4786323606967926, latency(ms): 6.1621787026524544 | 2022-05-15 02:00:15.148