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treeDepth-08-08-distributedTraining-32-grayscale.log
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Starting the distributed training at Thu 8 Aug 22:36:06 BST 2024
Command running in screen session distributed_train_0_20240808-223606 on ray01
Command running in screen session distributed_train_1_20240808-223606 on ray10
Command running in screen session distributed_train_2_20240808-223606 on gpu03
Command running in screen session distributed_train_3_20240808-223606 on gpu22
Log file path is /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/treeDepth-08-08-distributedTraining-32-grayscale.log
Learning rate is now 1e-5 nto 1e-4
Distributed training completed at Thu 8 Aug 22:36:14 BST 2024
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/models/matchers/loadedLightGlue.py:25: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
[08/08/2024 22:36:31 gluefactory INFO] Starting experiment sp+lg_08-08-distributed-grayscale-32-pretrain
ghtGlue.py:25: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
[08/08/2024 22:36:28 gluefactory INFO] Starting experiment sp+lg_08-08-distributed-grayscale-32-pretrain
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/models/matchers/loadedLightGlue.py:25: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
outputs saved to /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/sp+lg_08-08-distributed-grayscale-32-pretrain/log.txt
[08/08/2024 22:36:45 gluefactory INFO] Restoring from previous training of sp+lg_08-08-distributed-grayscale-32-pretrain
[08/08/2024 22:36:45 gluefactory INFO] Restoring from checkpoint checkpoint_best.tar
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:1653: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
init_cp = torch.load(str(init_cp), map_location="cpu")
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/models/matchers/loadedLightGlue.py:25: Futur. In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
best_cp = torch.load(str(best_cp), map_location="cpu")
[08/08/2024 22:36:54 gluefactory INFO] Training in distributed mode with 4 GPUs
[E808 23:06:53.478743540 socket.cpp:957] [c10d] The client socket has timed out after 1800s while trying to connect to (gpu22.doc.ic.ac.uk, 12344).
the best key used for loading is based on loss/total
the rank is 3 and world size is 4
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 2577, in <module>
torch.multiprocessing.spawn(
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 282, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method="spawn")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 238, in start_processes
while not context.join():
^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 189, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
fn(i, *args)
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 2486, in main_worker
training(rank, conf, output_dir, args, results_df, train_df)
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 1753, in training
torch.distributed.init_process_group(
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 79, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 93, in wrapper
func_return = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 1361, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 258, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout, use_libuv)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 185, in _create_c10d_store
return TCPStore(
^^^^^^^^^
torch.distributed.DistNetworkError: The client socket has timed out after 1800s while trying to connect to (gpu22.doc.ic.ac.uk, 12344).
[E808 23:06:59.810242829 socket.cpp:957] [c10d] The client socket has timed out after 1800s while trying to connect to (gpu22.doc.ic.ac.uk, 12344).
the best key used for loading is based on loss/total
the rank is 1 and world size is 4
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 2577, in <module>
torch.multiprocessing.spawn(
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 282, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method="spawn")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 238, in start_processes
while not context.join():
^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 189, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
fn(i, *args)
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 2486, in main_worker
training(rank, conf, output_dir, args, results_df, train_df)
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 1753, in training
torch.distributed.init_process_group(
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 79, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 93, in wrapper
func_return = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 1361, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 258, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout, use_libuv)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 185, in _create_c10d_store
return TCPStore(
^^^^^^^^^
torch.distributed.DistNetworkError: The client socket has timed out after 1800s while trying to connect to (gpu22.doc.ic.ac.uk, 12344).
[E808 23:07:04.472584301 socket.cpp:957] [c10d] The client socket has timed out after 1800s while trying to connect to (gpu22.doc.ic.ac.uk, 12344).
the best key used for loading is based on loss/total
the rank is 0 and world size is 4
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 2577, in <module>
torch.multiprocessing.spawn(
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 282, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method="spawn")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 238, in start_processes
while not context.join():
^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 189, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
fn(i, *args)
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 2486, in main_worker
training(rank, conf, output_dir, args, results_df, train_df)
File "/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py", line 1753, in training
torch.distributed.init_process_group(
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 79, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 93, in wrapper
func_return = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 1361, in init_process_group
store, rank, world_size = next(rendezvous_iterator)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 258, in _env_rendezvous_handler
store = _create_c10d_store(master_addr, master_port, rank, world_size, timeout, use_libuv)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/distributed/rendezvous.py", line 185, in _create_c10d_store
return TCPStore(
^^^^^^^^^
torch.distributed.DistNetworkError: The client socket has timed out after 1800s while trying to connect to (gpu22.doc.ic.ac.uk, 12344).