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attnserver.run_attnserver.slurm.sh.343188.out.log

@@ -124805,3 +124805,16 @@ batch tensor after cp: labels torch.Size([1, 16384])
 batch tensor after cp: loss_mask torch.Size([1, 16384])
 batch tensor after cp: attention_mask torch.Size([1, 1, 16384, 131072])
 batch tensor after cp: position_ids torch.Size([1, 16384])
+batch tensor: tokens torch.Size([1, 131072])
+batch tensor: labels torch.Size([1, 131072])
+batch tensor: loss_mask torch.Size([1, 131072])
+batch tensor: attention_mask torch.Size([1, 1, 131072, 131072])
+batch tensor: position_ids torch.Size([1, 131072])
+batch tensor after cp: tokens torch.Size([1, 16384])
+batch tensor after cp: labels torch.Size([1, 16384])
+batch tensor after cp: loss_mask torch.Size([1, 16384])
+batch tensor after cp: attention_mask torch.Size([1, 1, 16384, 131072])
+batch tensor after cp: position_ids torch.Size([1, 16384])
+Start exporting trace 8
+Done exporting trace 8
+ [2025-06-21 21:18:21] iteration        9/      10 | consumed samples:            9 | elapsed time per iteration (ms): 128291.4 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 16777216.0 | number of skipped iterations:   1 | number of nan iterations:   0 |

attnserver.run_attnserver.slurm.sh.343195.out.log

@@ -67730,3 +67730,36 @@ batch tensor after cp: labels torch.Size([1, 32768])
 batch tensor after cp: loss_mask torch.Size([1, 32768])
 batch tensor after cp: attention_mask torch.Size([1, 1, 32768, 131072])
 batch tensor after cp: position_ids torch.Size([1, 32768])
+batch tensor: tokens torch.Size([1, 131072])
+batch tensor: labels torch.Size([1, 131072])
+batch tensor: loss_mask torch.Size([1, 131072])
+batch tensor: attention_mask torch.Size([1, 1, 131072, 131072])
+batch tensor: position_ids torch.Size([1, 131072])
+batch tensor after cp: tokens torch.Size([1, 32768])
+batch tensor after cp: labels torch.Size([1, 32768])
+batch tensor after cp: loss_mask torch.Size([1, 32768])
+batch tensor after cp: attention_mask torch.Size([1, 1, 32768, 131072])
+batch tensor after cp: position_ids torch.Size([1, 32768])
+batch tensor: tokens torch.Size([1, 131072])
+batch tensor: labels torch.Size([1, 131072])
+batch tensor: loss_mask torch.Size([1, 131072])
+batch tensor: attention_mask torch.Size([1, 1, 131072, 131072])
+batch tensor: position_ids torch.Size([1, 131072])
+batch tensor after cp: tokens torch.Size([1, 32768])
+batch tensor after cp: labels torch.Size([1, 32768])
+batch tensor after cp: loss_mask torch.Size([1, 32768])
+batch tensor after cp: attention_mask torch.Size([1, 1, 32768, 131072])
+batch tensor after cp: position_ids torch.Size([1, 32768])
+batch tensor: tokens torch.Size([1, 131072])
+batch tensor: labels torch.Size([1, 131072])
+batch tensor: loss_mask torch.Size([1, 131072])
+batch tensor: attention_mask torch.Size([1, 1, 131072, 131072])
+batch tensor: position_ids torch.Size([1, 131072])
+batch tensor after cp: tokens torch.Size([1, 32768])
+batch tensor after cp: labels torch.Size([1, 32768])
+batch tensor after cp: loss_mask torch.Size([1, 32768])
+batch tensor after cp: attention_mask torch.Size([1, 1, 32768, 131072])
+batch tensor after cp: position_ids torch.Size([1, 32768])
+Start exporting trace 6
+Done exporting trace 6
+ [2025-06-21 21:18:27] iteration        7/      10 | consumed samples:            7 | elapsed time per iteration (ms): 152588.3 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 67108864.0 | number of skipped iterations:   1 | number of nan iterations:   0 |

attnserver.run_attnserver.slurm.sh.343196.out.log

@@ -50443,3 +50443,676 @@ batch tensor after cp: labels torch.Size([2, 24576])
 batch tensor after cp: loss_mask torch.Size([2, 24576])
 batch tensor after cp: attention_mask torch.Size([2, 1, 24576, 98304])
 batch tensor after cp: position_ids torch.Size([2, 24576])
+Start exporting trace 0
+Done exporting trace 0
+Number of parameters in transformer block in billions:  0.35
+Number of parameters in embedding layers in billions: 0.21
+Total number of parameters in billions: 0.56
+Number of parameters in most loaded shard in billions: 0.0703
+Theoretical memory footprints: weight and optimizer=1206.09 MB
+[Rank 18] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34412.0 | max reserved: 34412.0
+[Rank 19] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34412.0 | max reserved: 34412.0
+[Rank 17] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34412.0 | max reserved: 34412.0
+ [2025-06-21 21:17:42] iteration        1/      10 | consumed samples:            1 | elapsed time per iteration (ms): 52208.9 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 4294967296.0 | number of skipped iterations:   1 | number of nan iterations:   0 |
+[Rank 26] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 29] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 28] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0[Rank 27] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+
+[Rank 1] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34328.0 | max reserved: 34328.0
+[Rank 10] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0[Rank 15] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+
+[Rank 11] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 14] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 12] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 13] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 21] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34412.0 | max reserved: 34412.0
+[Rank 20] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34412.0 | max reserved: 34412.0
+[Rank 30] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 25] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 31] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 24] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 33968.0 | max reserved: 33968.0
+[Rank 2] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34328.0 | max reserved: 34328.0
+[Rank 9] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34352.0 | max reserved: 34352.0
+[Rank 22] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34412.0 | max reserved: 34412.0
+[Rank 6] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34328.0 | max reserved: 34328.0
+[Rank 3] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34328.0 | max reserved: 34328.0
+[Rank 8] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 33968.0 | max reserved: 33968.0
+[Rank 23] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34412.0 | max reserved: 34412.0
+[Rank 5] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34328.0 | max reserved: 34328.0
+[Rank 16] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34028.0 | max reserved: 34028.0
+[Rank 4] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34328.0 | max reserved: 34328.0
+[Rank 0] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 33944.0 | max reserved: 33944.0
+[Rank 7] (after 1 iterations) memory (MB) | allocated: 26294.28955078125 | max allocated: 32799.96435546875 | reserved: 34328.0 | max reserved: 34328.0
+batch tensor: tokens torch.Size([2, 98304])
+batch tensor: labels torch.Size([2, 98304])
+batch tensor: loss_mask torch.Size([2, 98304])
+batch tensor: attention_mask torch.Size([2, 1, 98304, 98304])
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+Start exporting trace 1
+Done exporting trace 1
+ [2025-06-21 21:18:15] iteration        2/      10 | consumed samples:            2 | elapsed time per iteration (ms): 33071.3 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 2147483648.0 | number of skipped iterations:   1 | number of nan iterations:   0 |
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attnserver.run_attnserver.slurm.sh.343202.err.log

@@ -6746,3 +6746,39 @@ W0621 21:13:47.545000 3922086 site-packages/torch/distributed/run.py:766] ******
   warnings.warn(
 /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
   warnings.warn(
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/./pretrain_gpt_profile.py", line 554, in <module>
+[rank0]:     pretrain(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/training.py", line 879, in pretrain
+[rank0]:     save_checkpoint(
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/training/checkpointing.py", line 469, in save_checkpoint
+[rank0]:     async_save_request = dist_checkpointing.save(state_dict, checkpoint_name, save_strategy,
+[rank0]:                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/serialization.py", line 404, in save
+[rank0]:     sharded_strategy.save(sharded_state_dict, checkpoint_dir)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/fully_parallel.py", line 95, in save
+[rank0]:     return self.base_strategy.save(sharded_state_dict, checkpoint_dir)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/base.py", line 228, in save
+[rank0]:     async_calls.maybe_finalize_async_calls(blocking=True)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/async_utils.py", line 545, in maybe_finalize_async_calls
+[rank0]:     finalize_fn()
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/torch.py", line 800, in finalize_fn
+[rank0]:     save_state_dict_async_finalize(*save_state_dict_ret)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/state_dict_saver.py", line 243, in save_state_dict_async_finalize
+[rank0]:     storage_writer.finish(global_metadata, all_results)
+[rank0]:   File "/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/dist_checkpointing/strategies/filesystem_async.py", line 483, in finish
+[rank0]:     super().finish(metadata, results)
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/filesystem.py", line 697, in finish
+[rank0]:     with self.fs.create_stream(tmp_path, "wb") as metadata_file:
+[rank0]:          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/contextlib.py", line 137, in __enter__
+[rank0]:     return next(self.gen)
+[rank0]:            ^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/checkpoint/filesystem.py", line 476, in create_stream
+[rank0]:     with path.open(mode) as stream:
+[rank0]:          ^^^^^^^^^^^^^^^
+[rank0]:   File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/pathlib.py", line 1013, in open
+[rank0]:     return io.open(self, mode, buffering, encoding, errors, newline)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]: FileNotFoundError: [Errno 2] No such file or directory: 'gpt-checkpoint/iter_0000010/.metadata.tmp'

attnserver.run_attnserver.slurm.sh.343202.out.log

@@ -29045,3 +29045,879 @@ batch tensor after cp: position_ids torch.Size([2, 65536])
 Start exporting trace 6
 Done exporting trace 6
  [2025-06-21 21:17:21] iteration        7/      10 | consumed samples:            7 | elapsed time per iteration (ms): 21813.8 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 67108864.0 | number of skipped iterations:   1 | number of nan iterations:   0 |
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+Start exporting trace 7
+Done exporting trace 7
+ [2025-06-21 21:17:42] iteration        8/      10 | consumed samples:            8 | elapsed time per iteration (ms): 21609.9 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 33554432.0 | number of skipped iterations:   1 | number of nan iterations:   0 |
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+Start exporting trace 8
+Done exporting trace 8
+ [2025-06-21 21:18:04] iteration        9/      10 | consumed samples:            9 | elapsed time per iteration (ms): 21669.2 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 16777216.0 | number of skipped iterations:   1 | number of nan iterations:   0 |
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+Start exporting trace 9
+Done exporting trace 9
+ [2025-06-21 21:18:25] iteration       10/      10 | consumed samples:           10 | elapsed time per iteration (ms): 20595.4 | learning rate: 0.000000E+00 | global batch size:     1 | loss scale: 8388608.0 | number of skipped iterations:   1 | number of nan iterations:   0 |
+[after training is done] datetime: 2025-06-21 21:18:25 
+saving checkpoint at iteration      10 to gpt-checkpoint in torch_dist format
+DEBUG:megatron.training.checkpointing:rank: 3, takes 0.030599117279052734 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 6, takes 0.030607223510742188 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 4, takes 0.030637502670288086 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 1, takes 0.03064894676208496 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 5, takes 0.030666351318359375 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 7, takes 0.0306704044342041 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 2, takes 0.030683279037475586 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 9, takes 0.03452897071838379 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 0, takes 0.03490161895751953 to prepare state dict for ckpt 
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+DEBUG:megatron.training.checkpointing:rank: 8, takes 0.03490424156188965 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 10, takes 0.034996986389160156 to prepare state dict for ckpt 
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+DEBUG:megatron.training.checkpointing:rank: 14, takes 0.03571033477783203 to prepare state dict for ckpt 
+DEBUG:megatron.training.checkpointing:rank: 11, takes 0.039114952087402344 to prepare state dict for ckpt 
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
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+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(209748992), 0), (np.int64(211812352), 1)]
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(1073741824), 0), (np.int64(958776320), 1)]
+DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(1073741824), 0), (np.int64(958776320), 1)]
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.1365416049957275
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.136698961257935
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.170587062835693
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.143614768981934
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.143584966659546
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.137044191360474
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.145409822463989
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.137248277664185
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.146100997924805
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.13724946975708
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.144410133361816
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.137635231018066
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.143915176391602
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.137681245803833
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 5.144082069396973
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+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 10, starting state dict save
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+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 13, starting state dict save
+DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 0.015091419219970703
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+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 12, starting state dict save
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata
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+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata
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+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata
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+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata
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+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results...
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+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
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+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
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+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.45s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.46s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.46s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.47s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.46s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750540711.0828059, rank: 9, write(sync,parallel): 0.4452991485595703
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750540711.082717, rank: 1, write(sync,parallel): 0.4134373664855957
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.48s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750540711.085831, rank: 2, write(sync,parallel): 0.43056535720825195
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+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.47s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.49s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750540711.0925114, rank: 6, write(sync,parallel): 0.4342350959777832
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.48s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results...
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 147456, before: 2005639168, after: 2005786624
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.51s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.51s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.50s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.50s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.51s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 427352064, before: 1740451840, after: 2167803904
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 542007296, before: 1740451840, after: 2282459136
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully
+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750540711.8749943, rank: 8, write(sync,parallel): 0.9843263626098633
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 1.06s from forking
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+DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750540712.876399, rank: 0, write(sync,parallel): 1.8495192527770996
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 1.96s from forking
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9502618, 6, gather: 1.8163981437683105
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9504297, 2, gather: 1.8253560066223145
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9503453, 5, gather: 1.883301019668579
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9502494, 9, gather: 1.8324296474456787
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9504378, 4, gather: 1.8708419799804688
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9503853, 13, gather: 1.881472110748291
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9503906, 12, gather: 1.858473300933838
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.950525, 3, gather: 1.8542518615722656
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.950411, 11, gather: 1.872950792312622
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9504201, 10, gather: 1.82920241355896
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.950467, 7, gather: 1.85914945602417
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9505475, 14, gather: 1.8659534454345703
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9507422, 8, gather: 1.0384495258331299
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9511492, 1, gather: 1.8232641220092773
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9507585, 15, gather: 1.8799049854278564
+DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750540712.9546258, 0, gather: 0.007202863693237305
+DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.0099s

attnserver.run_attnserver.slurm.sh.343203.err.log

@@ -560,3 +560,138 @@ W0621 21:17:15.874000 755570 site-packages/torch/distributed/run.py:766]
 W0621 21:17:15.874000 755570 site-packages/torch/distributed/run.py:766] *****************************************
 W0621 21:17:15.874000 755570 site-packages/torch/distributed/run.py:766] 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. 
 W0621 21:17:15.874000 755570 site-packages/torch/distributed/run.py:766] *****************************************
+[rank8]:[W621 21:17:39.807640759 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 21:17:40.128637473 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank2]:[W621 21:17:40.469786999 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 21:17:40.491472929 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 21:17:40.156252974 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 21:17:40.496091577 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 21:17:40.159377300 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 21:17:40.498655977 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 21:17:40.165476282 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 21:17:40.507136515 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 21:17:40.169105437 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 21:17:40.511296861 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 21:17:40.514242174 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 21:17:40.514556635 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 21:17:40.175710494 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 21:17:40.178955361 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+[rank0]:[W621 21:18:12.746685017 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank7]:[W621 21:18:12.753953917 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank2]:[W621 21:18:12.850162563 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank1]:[W621 21:18:12.853369691 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank4]:[W621 21:18:12.898370089 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank3]:[W621 21:18:12.927309566 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank6]:[W621 21:18:12.939298933 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank5]:[W621 21:18:12.964087544 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank13]:[W621 21:18:13.968139063 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank11]:[W621 21:18:13.066932158 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank15]:[W621 21:18:13.187760979 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank10]:[W621 21:18:13.188025094 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank14]:[W621 21:18:13.206550379 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank9]:[W621 21:18:13.255674863 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank8]:[W621 21:18:13.347988832 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
+[rank12]:[W621 21:18:13.423960392 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
++ set +x
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=12288
++ PROF_CTX_LENGTH=12288
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L12288*tp8.cp2.bs4.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L12288*tp8.cp2.bs4.json' ']'
++ echo 'Running ctx_length=12288, TP_SIZE=8, CP_SIZE=2, BATCH_SIZE=4'
++ srun bash ./attnserver.sh
++ which python3
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 2 --node_rank 0 --rdzv_id 343203 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-274:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 8 --context-parallel-size 2 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 12288 --max-position-embeddings 12288 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 2 --node_rank 1 --rdzv_id 343203 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-274:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 8 --context-parallel-size 2 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 12288 --max-position-embeddings 12288 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 21:18:19.188000 1036067 site-packages/torch/distributed/run.py:766] 
+W0621 21:18:19.188000 1036067 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 21:18:19.188000 1036067 site-packages/torch/distributed/run.py:766] 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. 
+W0621 21:18:19.188000 1036067 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 21:18:19.257000 758676 site-packages/torch/distributed/run.py:766] 
+W0621 21:18:19.257000 758676 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 21:18:19.257000 758676 site-packages/torch/distributed/run.py:766] 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. 
+W0621 21:18:19.257000 758676 site-packages/torch/distributed/run.py:766] *****************************************

attnserver.run_attnserver.slurm.sh.343204.err.log

@@ -5100,3 +5100,262 @@ W0621 21:17:21.418000 720494 site-packages/torch/distributed/elastic/multiproces
 W0621 21:17:21.421000 720494 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 720572 closing signal SIGTERM
 W0621 21:17:21.436000 720494 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 720573 closing signal SIGTERM
 W0621 21:17:21.439000 720494 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 720574 closing signal SIGTERM
+E0621 21:17:22.819000 720494 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 720567) of binary: /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+./pretrain_gpt_profile.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2025-06-21_21:17:21
+  host      : fs-mbz-gpu-600
+  rank      : 0 (local_rank: 0)
+  exitcode  : 1 (pid: 720567)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
+W0621 21:17:23.048000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702341 closing signal SIGTERM
+W0621 21:17:23.051000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702342 closing signal SIGTERM
+W0621 21:17:23.052000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702343 closing signal SIGTERM
+W0621 21:17:23.056000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702344 closing signal SIGTERM
+W0621 21:17:23.071000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702345 closing signal SIGTERM
+W0621 21:17:23.078000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702346 closing signal SIGTERM
+W0621 21:17:23.080000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702347 closing signal SIGTERM
+W0621 21:17:23.084000 1702270 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 1702348 closing signal SIGTERM
++ set +x
+[W621 21:17:23.868715535 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[fs-mbz-gpu-717]:48024, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x1507e6d785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x1507cfc5aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x1507cfc5c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x1507cfc5db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x1507cfc57ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x1507cfc57ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x1507cfc58f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x1507def8b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x1507de6fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #17: <unknown function> + 0x94ac3 (0x1507e7e50ac3 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #18: <unknown function> + 0x126850 (0x1507e7ee2850 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 21:17:23.980000 1702270 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1341] The node 'fs-mbz-gpu-717_1702270_0' has failed to send a keep-alive heartbeat to the rendezvous '343204' due to an error of type RendezvousConnectionError.
+[W621 21:17:24.735056148 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[fs-mbz-gpu-717]:48024, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x1507e6d785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x1507cfc5aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x1507cfc5c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x1507cfc5db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x1507cfc57ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x1507cfc57ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x1507cfc58f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x1507def8b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x1507de6fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x1507e7de5d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x1507e7de5e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 21:17:24.850000 1702270 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1702270_0' has failed to shutdown the rendezvous '343204' due to an error of type RendezvousConnectionError.
+[W621 21:17:24.749979375 TCPStore.cpp:106] [c10d] sendBytes failed on SocketImpl(fd=3, addr=[fs-mbz-gpu-717]:48024, remote=[fs-mbz-gpu-600]:29500): Broken pipe
+Exception raised from sendBytes at /pytorch/torch/csrc/distributed/c10d/Utils.hpp:653 (most recent call first):
+frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x98 (0x1507e6d785e8 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libc10.so)
+frame #1: <unknown function> + 0x5ba8afe (0x1507cfc5aafe in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #2: <unknown function> + 0x5baa358 (0x1507cfc5c358 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #3: <unknown function> + 0x5babb3e (0x1507cfc5db3e in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #4: c10d::TCPStore::doWait(c10::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x1a6 (0x1507cfc57ac6 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #5: c10d::TCPStore::doGet(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x33 (0x1507cfc57ea3 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #6: c10d::TCPStore::get(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xab (0x1507cfc58f8b in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so)
+frame #7: <unknown function> + 0xc0f526 (0x1507def8b526 in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+frame #8: <unknown function> + 0x37f17d (0x1507de6fb17d in /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/lib/libtorch_python.so)
+<omitting python frames>
+frame #26: <unknown function> + 0x29d90 (0x1507e7de5d90 in /lib/x86_64-linux-gnu/libc.so.6)
+frame #27: __libc_start_main + 0x80 (0x1507e7de5e40 in /lib/x86_64-linux-gnu/libc.so.6)
+
+W0621 21:17:24.862000 1702270 site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1292] The node 'fs-mbz-gpu-717_1702270_0' has failed to shutdown the rendezvous '343204' due to an error of type RendezvousConnectionError.
+Traceback (most recent call last):
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 117, in _call_store
+    return getattr(self._store, store_op)(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+torch.distributed.DistNetworkError: failed to recv, got 0 bytes
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 207, in <module>
+    main()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/typing_extensions.py", line 3253, in wrapper
+    return arg(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 203, in main
+    launch(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py", line 188, in launch
+    run(args)
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 261, in launch_agent
+    result = agent.run()
+             ^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/metrics/api.py", line 138, in wrapper
+    result = f(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/agent/server/api.py", line 711, in run
+    result = self._invoke_run(role)
+             ^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/agent/server/api.py", line 906, in _invoke_run
+    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
+                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1263, in num_nodes_waiting
+    self._state_holder.sync()
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 437, in sync
+    get_response = self._backend.get_state()
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 75, in get_state
+    base64_state: bytes = self._call_store("get", self._key)
+                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 119, in _call_store
+    raise RendezvousConnectionError(
+torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
++ set +x
++ for ctx_length in 1024 2048 4096 8192 12288 16384 24576 32768 40960 49152 65536 81920 98304 131072
++ export PROF_CTX_LENGTH=8192
++ PROF_CTX_LENGTH=8192
++ name='/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L8192*tp8.cp2.bs8.json'
++ '[' -f '/mnt/sharefs/users/hao.zhang/junda/megatron-prof-data--unstable-v5/mytrace.L8192*tp8.cp2.bs8.json' ']'
++ echo 'Running ctx_length=8192, TP_SIZE=8, CP_SIZE=2, BATCH_SIZE=8'
++ srun bash ./attnserver.sh
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 2 --node_rank 1 --rdzv_id 343204 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 8 --context-parallel-size 2 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 8192 --max-position-embeddings 8192 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
++ which python3
++ python3 -m torch.distributed.launch --nproc_per_node 8 --nnodes 2 --node_rank 0 --rdzv_id 343204 --rdzv_backend c10d --rdzv_endpoint fs-mbz-gpu-600:29500 ./pretrain_gpt_profile.py --tensor-model-parallel-size 8 --context-parallel-size 2 --num-layers 2 --hidden-size 4096 --num-attention-heads 64 --group-query-attention --num-query-groups 16 --seq-length 8192 --max-position-embeddings 8192 --micro-batch-size 1 --global-batch-size 1 --lr 0.0005 --train-iters 10 --lr-decay-iters 150000 --lr-decay-style cosine --lr-warmup-iters 2 --weight-decay .1 --adam-beta2 .999 --fp16 --log-interval 1 --save-interval 16 --eval-interval 16 --eval-iters 1 --vocab-file vocab.json --merge-file merges.txt --save gpt-checkpoint --load gpt-checkpoint --logging-level 0 --mock-data --tensorboard-dir tensorboard-logs/
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 21:17:28.005000 1704865 site-packages/torch/distributed/run.py:766] 
+W0621 21:17:28.005000 1704865 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 21:17:28.005000 1704865 site-packages/torch/distributed/run.py:766] 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. 
+W0621 21:17:28.005000 1704865 site-packages/torch/distributed/run.py:766] *****************************************
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/torch/distributed/launch.py:207: FutureWarning: The module torch.distributed.launch is deprecated
+and will be removed in future. Use torchrun.
+Note that --use-env is set by default in torchrun.
+If your script expects `--local-rank` argument to be set, please
+change it to read from `os.environ['LOCAL_RANK']` instead. See 
+https://pytorch.org/docs/stable/distributed.html#launch-utility for 
+further instructions
+
+  main()
+W0621 21:17:28.010000 723166 site-packages/torch/distributed/run.py:766] 
+W0621 21:17:28.010000 723166 site-packages/torch/distributed/run.py:766] *****************************************
+W0621 21:17:28.010000 723166 site-packages/torch/distributed/run.py:766] 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. 
+W0621 21:17:28.010000 723166 site-packages/torch/distributed/run.py:766] *****************************************
+[rank2]:[W621 21:17:50.503583304 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 2]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank10]:[W621 21:17:50.098178415 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 10]  using GPU 2 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank11]:[W621 21:17:50.225173888 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 11]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank8]:[W621 21:17:50.295557738 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 8]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank3]:[W621 21:17:50.640182182 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 3]  using GPU 3 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank14]:[W621 21:17:50.442314027 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 14]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank6]:[W621 21:17:50.858109613 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 6]  using GPU 6 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank0]:[W621 21:17:50.890359594 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 0]  using GPU 0 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank1]:[W621 21:17:50.896970478 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 1]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank9]:[W621 21:17:50.487824039 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 9]  using GPU 1 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank15]:[W621 21:17:50.493958030 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 15]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank7]:[W621 21:17:50.904497461 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 7]  using GPU 7 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank12]:[W621 21:17:50.498492911 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 12]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank4]:[W621 21:17:50.904650488 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 4]  using GPU 4 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank5]:[W621 21:17:50.909090567 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 5]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+[rank13]:[W621 21:17:50.501167640 ProcessGroupNCCL.cpp:4715] [PG ID 0 PG GUID 0 Rank 13]  using GPU 5 as device used by this process is currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. You can pecify device_id in init_process_group() to force use of a particular device.
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/models/gpt/gpt_layer_specs.py:94: UserWarning: The fp8 argument in "get_gpt_layer_with_transformer_engine_spec" has been deprecated and will be removed soon. Please update your code accordingly.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(
+/mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/lib/python3.12/site-packages/transformer_engine/pytorch/cpu_offload.py:595: DeprecationWarning: Offloading weights is deprecated. Using offload_weights=True does not have any effect.
+  warnings.warn(