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treeDepth-19-07-distributedTraining-32-grayscale.log
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Starting the distributed training at Thu 8 Aug 21:22:14 BST 2024
Command running in screen session distributed_train_0_20240808-212214 on gpu22
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2220: SyntaxWarning: invalid escape sequence '\T'
logger.info(f"\Training intermediate DataFrame saved to: {intermediate_full_path}\n")
/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 21:22:29 gluefactory INFO] Starting experiment sp+lg_08-08-distributed-grayscale-32-pretrain
usage: train.py [-h] [--conf CONF] [--mixed_precision {float16,bfloat16}]
[--compile {default,reduce-overhead,max-autotune}] [--overfit]
[--restore] [--distributed] [--profile] [--print_arch]
[--detect_anomaly] [--log_it] [--no_eval_0] [--run_benchmarks]
experiment [dotlist ...]
train.py: error: unrecognized arguments: --master gpu22 --rank 2 --world_size 4
Command running in screen session distributed_train_1_20240808-212214 on gpu16
usage: train.py [-h] [--conf CONF] [--mixed_precision {float16,bfloat16}]
[--compile {default,reduce-overhead,max-autotune}] [--overfit]
[--restore] [--distributed] [--profile] [--print_arch]
[--detect_anomaly] [--log_it] [--no_eval_0] [--run_benchmarks]
experiment [dotlist ...]
train.py: error: unrecognized arguments: --master gpu22 --rank 1 --world_size 4
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2220: SyntaxWarning: invalid escape sequence '\T'
logger.info(f"\Training intermediate DataFrame saved to: {intermediate_full_path}\n")
/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_/vol/bitbucket/tp4618/SuperGlue/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(argtbucket/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 21:22:37 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)
/sp+lg_08-08-distributed-grayscale-32-pretrain/log.txt
[08/08/2024 21:22:47 gluefactory INFO] Restoring from previous training of sp+lg_08-08-distributed-grayscale-32-pretrain
[08/08/2024 21:22:47 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")
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 1653, in training
init_cp = torch.load(str(init_cp), map_location="cpu")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 1065, in load
with _open_file_like(f, 'rb') as opened_file:
^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 468, in _open_file_like
return _open_file(name_or_buffer, mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 449, in __init__
super().__init__(open(name, mode))
^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/outputs/training/sp+lg_08-08-distributed-grayscale-32-pretrain/checkpoint_best.tar'
usage: train.py [-h] [--conf CONF] [--mixed_precision {float16,bfloat16}]
[--compile {default,reduce-overhead,max-autotune}] [--overfit]
[--restore] [--distributed] [--profile] [--print_arch]
[--detect_anomaly] [--log_it] [--no_eval_0] [--run_benchmarks]
experiment [dotlist ...]
train.py: error: unrecognized arguments: --master gpu22 --rank 0 --world_size 4
/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 21:22:53 gluefactory INFO] Restoring from previous training of sp+lg_08-08-distributed-grayscale-32-pretrain
[08/08/2024 21:22:53 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")
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 1653, in training
init_cp = torch.load(str(init_cp), map_location="cpu")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 1065, in load
with _open_file_like(f, 'rb') as opened_file:
^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 468, in _open_file_like
return _open_file(name_or_buffer, mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 449, in __init__
super().__init__(open(name, mode))
^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/outputs/training/sp+lg_08-08-distributed-grayscale-32-pretrain/checkpoint_best.tar'
/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 21:23:01 gluefactory INFO] Restoring from previous training of sp+lg_08-08-distributed-grayscale-32-pretrain
[08/08/2024 21:23:01 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")
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 1653, in training
init_cp = torch.load(str(init_cp), map_location="cpu")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 1065, in load
with _open_file_like(f, 'rb') as opened_file:
^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 468, in _open_file_like
return _open_file(name_or_buffer, mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/serialization.py", line 449, in __init__
super().__init__(open(name, mode))
^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/outputs/training/sp+lg_08-08-distributed-grayscale-32-pretrain/checkpoint_best.tar'