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 ------------------------ 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 ............................................. False 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 .................................. graph 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: 0.0672395303845406, latency(ms): 177.4118613079190254 | 2022-04-21 16:43:03.502 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 16:43:03.674, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 4 %, 32510 MiB, 30429 MiB, 2081 MiB 2022/04/21 16:43:03.681, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 16:43:03.687, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.690, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 4 %, 32510 MiB, 30429 MiB, 2081 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] 2022/04/21 16:43:03.697, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 16:43:03.700, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB 2022/04/21 16:43:03.702, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30429 MiB, 2081 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 16:43:03.704, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30429 MiB, 2081 MiB 2022/04/21 16:43:03.705, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 16:43:03.706, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30429 MiB, 2081 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 16:43:03.708, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.711, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB 2022/04/21 16:43:03.711, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30429 MiB, 2081 MiB 2022/04/21 16:43:03.712, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB 2022/04/21 16:43:03.713, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 2 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.714, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30429 MiB, 2081 MiB 2022/04/21 16:43:03.715, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB 2022/04/21 16:43:03.716, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB 2022/04/21 16:43:03.716, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30429 MiB, 2081 MiB 2022/04/21 16:43:03.720, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.722, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB 2022/04/21 16:43:03.723, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.723, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.726, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB 2022/04/21 16:43:03.726, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.727, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB 2022/04/21 16:43:03.728, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 3 %, 32510 MiB, 30449 MiB, 2061 MiB 2022/04/21 16:43:03.732, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB 2022/04/21 16:43:03.733, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.734, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB 2022/04/21 16:43:03.735, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 1 %, 32510 MiB, 30481 MiB, 2029 MiB 2022/04/21 16:43:03.737, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.737, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB 2022/04/21 16:43:03.738, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 2 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.739, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30601 MiB, 1909 MiB 2022/04/21 16:43:03.743, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB 2022/04/21 16:43:03.744, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB 2022/04/21 16:43:03.745, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB 2022/04/21 16:43:03.748, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB 2022/04/21 16:43:03.749, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB 2022/04/21 16:43:03.750, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.750, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30553 MiB, 1957 MiB 2022/04/21 16:43:03.754, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 2 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.755, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB 2022/04/21 16:43:03.756, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.759, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB 2022/04/21 16:43:03.759, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.760, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 1 %, 32510 MiB, 30481 MiB, 2029 MiB 2022/04/21 16:43:03.761, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30569 MiB, 1941 MiB 2022/04/21 16:43:03.764, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.766, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.767, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.770, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.770, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.771, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB 2022/04/21 16:43:03.775, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 1 %, 32510 MiB, 30481 MiB, 2029 MiB 2022/04/21 16:43:03.776, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.777, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30481 MiB, 2029 MiB 2022/04/21 16:43:03.780, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.780, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30481 MiB, 2029 MiB 2022/04/21 16:43:03.781, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30321 MiB, 2189 MiB 2022/04/21 16:43:03.791, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30481 MiB, 2029 MiB 2022/04/21 16:43:03.794, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30481 MiB, 2029 MiB 2022/04/21 16:43:03.795, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30481 MiB, 2029 MiB [rank:0] iter: 200/1100, loss: 0.0614077299833298, latency(ms): 7.0202097296714783 | 2022-04-21 16:43:04.204 [rank:0] iter: 300/1100, loss: 0.0619121976196766, latency(ms): 3.5145398229360580 | 2022-04-21 16:43:04.556 [rank:0] iter: 400/1100, loss: 0.0618270300328732, latency(ms): 3.5285125672817230 | 2022-04-21 16:43:04.909 [rank:0] iter: 500/1100, loss: 0.0624949932098389, latency(ms): 3.4252184629440308 | 2022-04-21 16:43:05.251 [rank:0] iter: 600/1100, loss: 0.0604690685868263, latency(ms): 3.5246199369430542 | 2022-04-21 16:43:05.604 [rank:0] iter: 700/1100, loss: 0.0590441972017288, latency(ms): 3.3139906078577042 | 2022-04-21 16:43:05.935 [rank:0] iter: 800/1100, loss: 0.0605245940387249, latency(ms): 3.1120609492063522 | 2022-04-21 16:43:06.246 [rank:0] iter: 900/1100, loss: 0.0609730966389179, latency(ms): 3.2652787119150162 | 2022-04-21 16:43:06.573 [rank:0] iter: 1000/1100, loss: 0.0594798810780048, latency(ms): 3.3190119639039040 | 2022-04-21 16:43:06.905 [rank:0] iter: 1100/1100, loss: 0.0598588362336159, latency(ms): 3.1980285048484802 | 2022-04-21 16:43:07.224