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NCCPtreeDepth-98-08-distributedTraining-32-grayscale.log
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Starting the distributed training at Fri 9 Aug 19:16:15 BST 2024
Command running in screen session distributed_NCCP1-MEGAtrain_0_20240809-191637 on ray13
Command running in screen session distributed_NCCP1-MEGAtrain_1_20240809-191637 on ray10
Command running in screen session distributed_NCCP1-MEGAtrain_2_20240809-191637 on ray17
Command running in screen session distributed_NCCP1-MEGAtrain_3_20240809-191637 on ray18
Learning rate is now 1e-5 nto 1e-4
Distributed training completed at Fri 9 Aug 19:16:47 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)
/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)
24 19:17:15 gluefactory INFO] Starting experiment NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain
/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)
[08/09/2024 19:17:21 gluefactory INFO] Starting experiment NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain
/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)
[08/09/2024 19:17:45 gluefactory INFO] Starting experiment NCCPsp+lg_08-08-distributedMEGA-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/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/log.txt
[08/09/2024 19:28:45 gluefactory INFO] Restoring from previous training of NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain
[08/09/2024 19:28:45 gluefactory INFO] Restoring from checkpoint checkpoint_5_25000.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")
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:1660: 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.
best_cp = torch.load(str(best_cp), map_location="cpu")
[08/09/2024 19:29:12 gluefactory INFO] Training in distributed mode with 4 GPUs
[08/09/2024 19:29:13 gluefactory INFO] Using device cuda:0
[08/09/2024 19:29:13 gluefactory.datasets.base_dataset INFO] Creating dataset TreeDepth
[08/09/2024 19:29:13 gluefactory.datasets.treedepth INFO] Initialized TreeDepth dataset with configuration: {'name': 'treedepth', 'num_workers': 1, 'train_batch_size': '???', 'val_batch_size': '???', 'test_batch_size': '???', 'shuffle_training': False, 'batch_size': 8, 'num_threads': 1, 'seed': 0, 'prefetch_factor': 2, 'data_dir': 'syntheticForestData/', 'depth_subpath': 'depthData/', 'image_subpath': 'imageData/', 'info_dir': 'fileLists', 'train_split': 'train_scenes_clean.txt', 'train_num_per_scene': 300, 'val_split': 'valid_scenes_clean.txt', 'val_num_per_scene': None, 'val_pairs': 'valid_pairs.txt', 'test_split': 'test_scenes_clean.txt', 'test_num_per_scene': None, 'test_pairs': None, 'views': 2, 'min_overlap': 0.1, 'max_overlap': 0.7, 'num_overlap_bins': 3, 'sort_by_overlap': False, 'triplet_enforce_overlap': False, 'read_depth': True, 'read_image': True, 'grayscale': False, 'preprocessing': {'resize': None, 'edge_divisible_by': None, 'side': 'long', 'interpolation': 'bilinear', 'align_corners': None, 'antialias': True, 'square_pad': False, 'add_padding_mask': False}, 'p_rotate': 0.0, 'reseed': False, 'load_features': {'do': False, 'path': 'exports/closed-treedepth-rgb-undist-depthr_SP-k2048-nms3/{scene}.h5', 'data_keys': None, 'device': None, 'trainable': False, 'add_data_path': True, 'collate': False, 'scale': ['keypoints', 'lines', 'orig_lines'], 'padding_fn': 'pad_local_features', 'padding_length': 2048, 'numeric_type': 'float32'}}
[08/09/2024 19:29:17 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 0.
[08/09/2024 19:29:19 gluefactory.datasets.treedepth INFO] Sampling new items for val with seed 0.
[08/09/2024 19:29:19 gluefactory INFO] Training loader has 1159 batches
[08/09/2024 19:29:19 gluefactory INFO] Validation loader has 718 batches
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/models/matchers/lightglue.py:24: 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/depth_matcher.py:40: 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)
[08/09/2024 19:29:27 gluefactory INFO] Parameters with scaled learning rate:
{}
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:1889: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
scaler = GradScaler(enabled=args.mixed_precision is not None)
[08/09/2024 19:29:27 gluefactory INFO] Training with mixed_precision=None
[08/09/2024 19:29:27 gluefactory INFO] Starting training with configuration:
data:
name: treedepth
train_split: train_scenes_clean.txt
train_num_per_scene: 300
val_split: valid_scenes_clean.txt
val_pairs: valid_pairs.txt
min_overlap: 0.1
max_overlap: 0.7
num_overlap_bins: 3
read_depth: true
read_image: true
batch_size: 32
num_workers: 4
load_features:
do: false
path: exports/closed-treedepth-rgb-undist-depthr_SP-k2048-nms3/{scene}.h5
padding_length: 2048
padding_fn: pad_local_features
model:
name: two_view_pipeline
extractor:
name: gluefactory_nonfree.superpoint
max_num_keypoints: 512
force_num_keypoints: true
detection_threshold: 0.0
nms_radius: 3
trainable: false
ground_truth:
name: matchers.depth_matcher
th_positive: 3
th_negative: 5
th_epi: 3
matcher:
name: matchers.lightglue
filter_threshold: 0.1
flash: true
checkpointed: true
allow_no_extract: true
train:
seed: 42
epochs: 50
optimizer: adam
opt_regexp: null
optimizer_options: {}
lr: 1.0e-05
lr_schedule:
type: exp
start: 10
exp_div_10: 45
on_epoch: true
factor: 1.0
options: {}
lr_scaling:
- - 100
- - dampingnet.const
eval_every_iter: 500
save_every_iter: 5000
log_every_iter: 250
log_grad_every_iter: null
test_every_epoch: 1
keep_last_checkpoints: 50
load_experiment: pretrain_lightglue
median_metrics: []
recall_metrics: {}
pr_metrics: {}
best_key: loss/total
dataset_callback_fn: sample_new_items
dataset_callback_on_val: false
clip_grad: null
pr_curves: {}
plot:
- 5
- gluefactory.visualization.visualize_batch.make_match_figures
submodules: []
benchmarks:
treeEval1:
data:
preprocessing:
side: long
resize: 1600
eval:
estimator: poselib
ransac_th: 0.5
finnEval:
data:
preprocessing:
side: long
resize: 1600
eval:
estimator: poselib
ransac_th: 0.5
image_mode: null
[08/09/2024 19:29:27 gluefactory INFO] Starting epoch 6
[08/09/2024 19:29:27 gluefactory INFO] lr changed from 1e-05 to 1e-05
[08/09/2024 19:29:27 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 48.
the best key used for loading is based on loss/total
the rank is 1 and world size is 4
cuda:0
23 initpy data sets path gluefactory.datasets.treedepth
205 tools.py utils the classes are [('TreeDepth', <class 'gluefactory.datasets.treedepth.TreeDepth'>)]
136 in treedepth
conf keys: dict_keys(['name', 'num_workers', 'train_batch_size', 'val_batch_size', 'test_batch_size', 'shuffle_training', 'batch_size', 'num_threads', 'seed', 'prefetch_factor', 'data_dir', 'depth_subpath', 'image_subpath', 'info_dir', 'train_split', 'train_num_per_scene', 'val_split', 'val_num_per_scene', 'val_pairs', 'test_split', 'test_num_per_scene', 'test_pairs', 'views', 'min_overlap', 'max_overlap', 'num_overlap_bins', 'sort_by_overlap', 'triplet_enforce_overlap', 'read_depth', 'read_image', 'grayscale', 'preprocessing', 'p_rotate', 'reseed', 'load_features'])
Loaded training dataset: treedepth
calling get_data_loader on dataset object - dataset.get_data_loader('train', distributed=args.distributed, shuffle=False)
scene_lists_path: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/gluefactory/datasets/tartanSceneLists(Full)
root and info /vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/data/syntheticForestData fileLists
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
scene_lists_path: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/gluefactory/datasets/tartanSceneLists(Full)
root and info /vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/data/syntheticForestData fileLists
!!!!!sample_new_items: num_per_scene: None
did a random shuffle!!!
205 tools.py utils the classes are [('TwoViewPipeline', <class 'gluefactory.models.two_view_pipeline.TwoViewPipeline'>)]
205 tools.py utils the classes are [('SuperPoint', <class 'gluefactory_nonfree.superpoint.SuperPoint'>)]
ModuleNotFoundError: matchers.lightglue
205 tools.py utils the classes are []
ModuleNotFoundError: matchers.depth_matcher
205 tools.py utils the classes are [('DepthMatcher', <class 'gluefactory.models.matchers.depth_matcher.DepthMatcher'>)]
93 base_model.py DepthMatcher is trainable
93 base_model.py TwoViewPipeline is trainable
conf.model.name two_view_pipeline
replaced!! the weights using two_view_pipeline
args distibuted
device ids are [device(type='cuda', index=0)]
after mpodel weight sub in
WARNING: args restore used, using loaded optimizer and scheduler - line 494 train.py
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2098: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with autocast(enabled=args.mixed_precision is not None, dtype=mp_dtype):
ray10:3086599:3086599 [0] NCCL INFO cudaDriverVersion 12020
ray10:3086599:3086599 [0] NCCL INFO NCCL_SOCKET_IFNAME set by environment to eno1
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/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py:600: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants.
return fn(*args, **kwargs)
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
[08/09/2024 19:29:53 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_6_0_20240809_192952.pkl
[08/09/2024 19:29:53 gluefactory INFO] [E 6 | it 0] loss {total 1.843E-01, last 1.440E-01, assignment_nll 1.440E-01, nll_pos 2.028E-01, nll_neg 8.525E-02, num_matchable 4.216E+01, num_unmatchable 7.270E+01, confidence 3.373E-02, row_norm 2.175E-01}
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2098: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with autocast(enabled=args.mixed_precision is not None, dtype=mp_dtype):
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py:600: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants.
return fn(*args, **kwargs)
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
[08/09/2024 19:45:42 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_6_250_20240809_194542.pkl
[08/09/2024 19:45:42 gluefactory INFO] [E 6 | it 250] loss {total 8.902E-02, last 7.424E-02, assignment_nll 7.424E-02, nll_pos 7.654E-02, nll_neg 7.194E-02, num_matchable 5.444E+01, num_unmatchable 6.323E+01, confidence 1.450E-02, row_norm 2.274E-01}
[08/09/2024 19:56:53 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_6_500_20240809_195653.pkl
[08/09/2024 19:56:53 gluefactory INFO] [E 6 | it 500] loss {total 1.028E-01, last 8.519E-02, assignment_nll 8.519E-02, nll_pos 1.004E-01, nll_neg 7.001E-02, num_matchable 4.925E+01, num_unmatchable 6.664E+01, confidence 1.619E-02, row_norm 2.301E-01}
Current iteraiton: 0
Data logged to training DataFrame: {'epoch': 6, 'iteration': 0, 'total': 0.1843186318874359, 'last': 0.14401023089885712, 'assignment_nll': 0.14401023089885712, 'nll_pos': 0.20276573300361633, 'nll_neg': 0.08525470644235611, 'num_matchable': 42.15625, 'num_unmatchable': 72.703125, 'confidence': 0.03372655063867569, 'row_norm': 0.21749147772789001}
Current iteraiton: 250
Data logged to training DataFrame: {'epoch': 6, 'iteration': 250, 'total': 0.08901616185903549, 'last': 0.07423949986696243, 'assignment_nll': 0.07423949986696243, 'nll_pos': 0.07654254138469696, 'nll_neg': 0.0719364583492279, 'num_matchable': 54.4375, 'num_unmatchable': 63.234375, 'confidence': 0.014497515745460987, 'row_norm': 0.227373406291008}
Current iteraiton: 500
Data logged to training DataFrame: {'epoch': 6, 'iteration': 500, 'total': 0.10283076763153076, 'last': 0.0851932018995285, 'assignment_nll': 0.0851932018995285, 'nll_pos': 0.10038112103939056, 'nll_neg': 0.07000527530908585, 'num_matchable': 49.25, 'num_unmatchable': 66.640625, 'confidence': 0.016189316287636757, 'row_norm': 0.23014815151691437}
line 813in train.py doing validation
da/home/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)
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2295: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
results_df = pd.concat([results_df, new_entry], ignore_index=True)
[08/09/2024 20:04:47 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_200446.pkl
[08/09/2024 20:04:47 gluefactory INFO] [Validation] {match_recall 9.297E-01, match_precision 8.376E-01, accuracy 9.156E-01, average_precision 7.815E-01, loss/total 4.698E-01, loss/last 4.698E-01, loss/assignment_nll 4.698E-01, loss/nll_pos 6.334E-01, loss/nll_neg 3.062E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.859E-01}
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2098: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with autocast(enabled=args.mixed_precision is not None, dtype=mp_dtype):
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py:600: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants.
return fn(*args, **kwargs)
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2295: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
results_df = pd.concat([results_df, new_entry], ignore_index=True)
[08/09/2024 20:05:44 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_200544.pkl
[08/09/2024 20:05:44 gluefactory INFO] [Validation] {match_recall 9.297E-01, match_precision 8.376E-01, accuracy 9.156E-01, average_precision 7.815E-01, loss/total 4.698E-01, loss/last 4.698E-01, loss/assignment_nll 4.698E-01, loss/nll_pos 6.334E-01, loss/nll_neg 3.062E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.859E-01}
/vol/bitbucket/tp4618/SuperGlueThesis/external/glue-factory/gluefactory/train.py:2098: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
with autocast(enabled=args.mixed_precision is not None, dtype=mp_dtype):
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py:600: UserWarning: torch.utils.checkpoint: the use_reentrant parameter should be passed explicitly. In version 2.4 we will raise an exception if use_reentrant is not passed. use_reentrant=False is recommended, but if you need to preserve the current default behavior, you can pass use_reentrant=True. Refer to docs for more details on the differences between the two variants.
return fn(*args, **kwargs)
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
[08/09/2024 20:08:26 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_6_30000.tar
[08/09/2024 20:16:32 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_6_750_20240809_201632.pkl
[08/09/2024 20:16:32 gluefactory INFO] [E 6 | it 750] loss {total 1.068E-01, last 8.237E-02, assignment_nll 8.237E-02, nll_pos 1.099E-01, nll_neg 5.488E-02, num_matchable 5.825E+01, num_unmatchable 5.934E+01, confidence 2.212E-02, row_norm 2.302E-01}
[08/09/2024 20:26:40 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_6_1000_20240809_202640.pkl
[08/09/2024 20:26:40 gluefactory INFO] [E 6 | it 1000] loss {total 8.278E-02, last 6.719E-02, assignment_nll 6.719E-02, nll_pos 7.801E-02, nll_neg 5.636E-02, num_matchable 5.788E+01, num_unmatchable 6.062E+01, confidence 1.445E-02, row_norm 2.325E-01}
Data logged to validation: {'epoch': 6, 'iteration': 500, 'match_recall': 0.9296829144713771, 'match_precision': 0.8375946334845513, 'accuracy': 0.9156475094552655, 'average_precision': 0.7814942173426159, 'loss/total': 0.4697766312738744, 'loss/last': 0.4697766312738744, 'loss/assignment_nll': 0.4697766312738744, 'loss/nll_pos': 0.6333724322011662, 'loss/nll_neg': 0.3061808315303683, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8859125114068752}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4697766312738744
best_eval 0.3751751895254082
Current iteraiton: 750
Data logged to training DataFrame: {'epoch': 6, 'iteration': 750, 'total': 0.15700224041938782, 'last': 0.1338863968849182, 'assignment_nll': 0.1338863968849182, 'nll_pos': 0.1941155642271042, 'nll_neg': 0.07365720719099045, 'num_matchable': 50.5625, 'num_unmatchable': 64.484375, 'confidence': 0.019117986783385277, 'row_norm': 0.22271829843521118}
Current iteraiton: 1000
Data logged to training DataFrame: {'epoch': 6, 'iteration': 1000, 'total': 0.07028284668922424, 'last': 0.054834745824337006, 'assignment_nll': 0.054834745824337006, 'nll_pos': 0.06311417371034622, 'nll_neg': 0.04655531793832779, 'num_matchable': 64.65625, 'num_unmatchable': 53.3125, 'confidence': 0.013579299673438072, 'row_norm': 0.23317106068134308}
line 813in train.py doing validation
/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)
[08/09/2024 20:33:47 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_203347.pkl
[08/09/2024 20:33:47 gluefactory INFO] [Validation] {match_recall 9.336E-01, match_precision 8.273E-01, accuracy 9.117E-01, average_precision 7.754E-01, loss/total 4.716E-01, loss/last 4.716E-01, loss/assignment_nll 4.716E-01, loss/nll_pos 5.995E-01, loss/nll_neg 3.437E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.849E-01}
[08/09/2024 20:34:55 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_203455.pkl
[08/09/2024 20:34:55 gluefactory INFO] [Validation] {match_recall 9.336E-01, match_precision 8.273E-01, accuracy 9.117E-01, average_precision 7.754E-01, loss/total 4.716E-01, loss/last 4.716E-01, loss/assignment_nll 4.716E-01, loss/nll_pos 5.995E-01, loss/nll_neg 3.437E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.849E-01}
[08/09/2024 20:36:03 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_203603.pkl
[08/09/2024 20:36:03 gluefactory INFO] [Validation] {match_recall 9.336E-01, match_precision 8.273E-01, accuracy 9.117E-01, average_precision 7.754E-01, loss/total 4.716E-01, loss/last 4.716E-01, loss/assignment_nll 4.716E-01, loss/nll_pos 5.995E-01, loss/nll_neg 3.437E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.849E-01}
Data logged to validation: {'epoch': 6, 'iteration': 1000, 'match_recall': 0.9336038716994096, 'match_precision': 0.827318204155367, 'accuracy': 0.9116526430907566, 'average_precision': 0.7753725592683002, 'loss/total': 0.4715919979773332, 'loss/last': 0.4715919979773332, 'loss/assignment_nll': 0.4715919979773332, 'loss/nll_pos': 0.5994617067978357, 'loss/nll_neg': 0.3437222896760349, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.88490173384703}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4715919979773332
best_eval 0.3751751895254082
line 813in train.py doing validation
/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)
[08/09/2024 20:49:23 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_204923.pkl
[08/09/2024 20:49:23 gluefactory INFO] [Validation] {match_recall 9.220E-01, match_precision 8.540E-01, accuracy 9.216E-01, average_precision 7.900E-01, loss/total 4.806E-01, loss/last 4.806E-01, loss/assignment_nll 4.806E-01, loss/nll_pos 7.191E-01, loss/nll_neg 2.422E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 9.029E-01}
[08/09/2024 20:49:29 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_6_32448.tar
[08/09/2024 20:49:31 gluefactory INFO] Starting epoch 7
[08/09/2024 20:49:31 gluefactory INFO] lr changed from 1e-05 to 1e-05
[08/09/2024 20:49:31 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 49.
Data logged to validation: {'epoch': 6, 'iteration': 1158, 'match_recall': 0.9220068296904348, 'match_precision': 0.8539838783832377, 'accuracy': 0.9215504240906612, 'average_precision': 0.7900017052992712, 'loss/total': 0.4806339254362658, 'loss/last': 0.4806339254362658, 'loss/assignment_nll': 0.4806339254362658, 'loss/nll_pos': 0.7190769125152549, 'loss/nll_neg': 0.24219093697619354, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.9029083586736008}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4806339254362658
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 20:50:18 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_205018.pkl
[08/09/2024 20:50:18 gluefactory INFO] [Validation] {match_recall 9.220E-01, match_precision 8.540E-01, accuracy 9.216E-01, average_precision 7.900E-01, loss/total 4.806E-01, loss/last 4.806E-01, loss/assignment_nll 4.806E-01, loss/nll_pos 7.191E-01, loss/nll_neg 2.422E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 9.029E-01}
[08/09/2024 20:50:24 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_6_32448.tar
[08/09/2024 20:50:26 gluefactory INFO] Starting epoch 7
[08/09/2024 20:50:26 gluefactory INFO] lr changed from 1e-05 to 1e-05
[08/09/2024 20:50:26 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 49.
Data logged to validation: {'epoch': 6, 'iteration': 1158, 'match_recall': 0.9220068296904348, 'match_precision': 0.8539838783832377, 'accuracy': 0.9215504240906612, 'average_precision': 0.7900017052992712, 'loss/total': 0.4806339254362658, 'loss/last': 0.4806339254362658, 'loss/assignment_nll': 0.4806339254362658, 'loss/nll_pos': 0.7190769125152549, 'loss/nll_neg': 0.24219093697619354, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.9029083586736008}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4806339254362658
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 20:52:45 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_7_0_20240809_205245.pkl
[08/09/2024 20:52:45 gluefactory INFO] [E 7 | it 0] loss {total 8.208E-02, last 6.373E-02, assignment_nll 6.373E-02, nll_pos 8.920E-02, nll_neg 3.826E-02, num_matchable 6.500E+01, num_unmatchable 5.495E+01, confidence 1.755E-02, row_norm 2.344E-01}
yscale-32-pretrain_intermediate_7_0_20240809_205245.pkl
[08/09/2024 20:52:45 gluefactory INFO] [E 7 | it 0] loss {total 7.916E-02, last 6.121E-02, assignment_nll 6.121E-02, nll_pos 8.371E-02, nll_neg 3.871E-02, num_matchable 6.125E+01, num_unmatchable 5.756E+01, confidence 1.806E-02, row_norm 2.360E-01}
[08/09/2024 21:01:15 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_7_250_20240809_210115.pkl
[08/09/2024 21:01:15 gluefactory INFO] [E 7 | it 250] loss {total 1.217E-01, last 1.032E-01, assignment_nll 1.032E-01, nll_pos 1.503E-01, nll_neg 5.597E-02, num_matchable 5.350E+01, num_unmatchable 6.370E+01, confidence 1.701E-02, row_norm 2.274E-01}
[08/09/2024 21:09:04 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_7_500_20240809_210904.pkl
[08/09/2024 21:09:04 gluefactory INFO] [E 7 | it 500] loss {total 8.908E-02, last 6.870E-02, assignment_nll 6.870E-02, nll_pos 7.253E-02, nll_neg 6.486E-02, num_matchable 5.297E+01, num_unmatchable 6.153E+01, confidence 1.928E-02, row_norm 2.266E-01}
Current iteraiton: 0
Data logged to training DataFrame: {'epoch': 7, 'iteration': 0, 'total': 0.07916203141212463, 'last': 0.061211686581373215, 'assignment_nll': 0.061211686581373215, 'nll_pos': 0.08371071517467499, 'nll_neg': 0.038712650537490845, 'num_matchable': 61.25, 'num_unmatchable': 57.5625, 'confidence': 0.018063124269247055, 'row_norm': 0.23597168922424316}
Current iteraiton: 250
Data logged to training DataFrame: {'epoch': 7, 'iteration': 250, 'total': 0.12174932658672333, 'last': 0.10315003246068954, 'assignment_nll': 0.10315003246068954, 'nll_pos': 0.15032729506492615, 'nll_neg': 0.05597277358174324, 'num_matchable': 53.5, 'num_unmatchable': 63.703125, 'confidence': 0.017010021954774857, 'row_norm': 0.22739902138710022}
Current iteraiton: 500
Data logged to training DataFrame: {'epoch': 7, 'iteration': 500, 'total': 0.08907850831747055, 'last': 0.06869761645793915, 'assignment_nll': 0.06869761645793915, 'nll_pos': 0.07253309339284897, 'nll_neg': 0.06486214697360992, 'num_matchable': 52.96875, 'num_unmatchable': 61.53125, 'confidence': 0.019280266016721725, 'row_norm': 0.22658994793891907}
line 813in train.py doing validation
/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)
/vo/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)
[08/09/2024 21:16:26 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_211626.pkl
[08/09/2024 21:16:26 gluefactory INFO] [Validation] {match_recall 9.298E-01, match_precision 8.380E-01, accuracy 9.160E-01, average_precision 7.820E-01, loss/total 4.668E-01, loss/last 4.668E-01, loss/assignment_nll 4.668E-01, loss/nll_pos 6.380E-01, loss/nll_neg 2.957E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.872E-01}
[08/09/2024 21:23:42 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_7_35000.tar
[08/09/2024 21:27:12 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_7_750_20240809_212712.pkl
[08/09/2024 21:27:12 gluefactory INFO] [E 7 | it 750] loss {total 4.707E-01, last 3.668E-01, assignment_nll 3.668E-01, nll_pos 4.849E-01, nll_neg 2.486E-01, num_matchable 2.287E+02, num_unmatchable 2.380E+02, confidence 9.496E-02, row_norm 9.075E-01}
[08/09/2024 21:34:40 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_7_1000_20240809_213440.pkl
[08/09/2024 21:34:40 gluefactory INFO] [E 7 | it 1000] loss {total 5.257E-01, last 4.471E-01, assignment_nll 4.471E-01, nll_pos 6.372E-01, nll_neg 2.570E-01, num_matchable 2.166E+02, num_unmatchable 2.493E+02, confidence 6.894E-02, row_norm 9.083E-01}
Data logged to validation: {'epoch': 7, 'iteration': 500, 'match_recall': 0.9297786717630845, 'match_precision': 0.8380161998994674, 'accuracy': 0.9160374579944677, 'average_precision': 0.7819627014602103, 'loss/total': 0.46683339817183356, 'loss/last': 0.46683339817183356, 'loss/assignment_nll': 0.46683339817183356, 'loss/nll_pos': 0.6380121005536787, 'loss/nll_neg': 0.2956546968907014, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8872337923232687}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.46683339817183356
best_eval 0.3751751895254082
Current iteraiton: 750
Data logged to training DataFrame: {'epoch': 7, 'iteration': 750, 'total': 0.4706689715385437, 'last': 0.36676540970802307, 'assignment_nll': 0.36676540970802307, 'nll_pos': 0.4848954677581787, 'nll_neg': 0.24863533675670624, 'num_matchable': 228.65625, 'num_unmatchable': 238.015625, 'confidence': 0.09495888650417328, 'row_norm': 0.907455325126648}
Current iteraiton: 1000
Data logged to training DataFrame: {'epoch': 7, 'iteration': 1000, 'total': 0.525659441947937, 'last': 0.44711834192276, 'assignment_nll': 0.44711834192276, 'nll_pos': 0.6371972560882568, 'nll_neg': 0.2570394277572632, 'num_matcnum_matchable': 42.78125, 'num_unmatchable': 72.4375, 'confidence': 0.017461858689785004, 'row_norm': 0.21952465176582336}
line 813in train.py doing validation
/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)
[08/09/2024 21:42:36 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_214236.pkl
[08/09/2024 21:42:36 gluefactory INFO] [Validation] {match_recall 9.306E-01, match_precision 8.351E-01, accuracy 9.148E-01, average_precision 7.801E-01, loss/total 4.728E-01, loss/last 4.728E-01, loss/assignment_nll 4.728E-01, loss/nll_pos 6.237E-01, loss/nll_neg 3.219E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.866E-01}
[08/09/2024 21:42:48 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_214248.pkl
[08/09/2024 21:42:48 gluefactory INFO] [Validation] {match_recall 9.306E-01, match_precision 8.351E-01, accuracy 9.148E-01, average_precision 7.801E-01, loss/total 4.728E-01, loss/last 4.728E-01, loss/assignment_nll 4.728E-01, loss/nll_pos 6.237E-01, loss/nll_neg 3.219E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.866E-01}
[08/09/2024 21:44:06 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_214406.pkl
[08/09/2024 21:44:06 gluefactory INFO] [Validation] {match_recall 9.306E-01, match_precision 8.351E-01, accuracy 9.148E-01, average_precision 7.801E-01, loss/total 4.728E-01, loss/last 4.728E-01, loss/assignment_nll 4.728E-01, loss/nll_pos 6.237E-01, loss/nll_neg 3.219E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.866E-01}
Data logged to validation: {'epoch': 7, 'iteration': 1000, 'match_recall': 0.9305661048623327, 'match_precision': 0.8351357577985172, 'accuracy': 0.9148251948456315, 'average_precision': 0.780092352275649, 'loss/total': 0.4727813525482337, 'loss/last': 0.4727813525482337, 'loss/assignment_nll': 0.4727813525482337, 'loss/nll_pos': 0.6236766098683719, 'loss/nll_neg': 0.32188609738798507, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.886606463198047}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4727813525482337
best_eval 0.3751751895254082
line 813in train.py doing validation
/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)
[08/09/2024 21:56:04 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_215604.pkl
[08/09/2024 21:56:04 gluefactory INFO] [Validation] {match_recall 9.217E-01, match_precision 8.541E-01, accuracy 9.215E-01, average_precision 7.899E-01, loss/total 4.812E-01, loss/last 4.812E-01, loss/assignment_nll 4.812E-01, loss/nll_pos 7.147E-01, loss/nll_neg 2.477E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 9.042E-01}
[08/09/2024 21:56:11 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_7_37084.tar
[08/09/2024 21:56:12 gluefactory INFO] Starting epoch 8
[08/09/2024 21:56:12 gluefactory INFO] lr changed from 1e-05 to 1e-05
[08/09/2024 21:56:12 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 50.
Data logged to validation: {'epoch': 7, 'iteration': 1158, 'match_recall': 0.9217187468183166, 'match_precision': 0.8541394280224311, 'accuracy': 0.9215254568472141, 'average_precision': 0.789879149551591, 'loss/total': 0.4812216402761612, 'loss/last': 0.4812216402761612, 'loss/assignment_nll': 0.4812216402761612, 'loss/nll_pos': 0.7147279704073995, 'loss/nll_neg': 0.24771531289670526, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.9041702459082787}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4812216402761612
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 21:56:20 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_215620.pkl
[08/09/2024 21:56:20 gluefactory INFO] [Validation] {match_recall 9.217E-01, match_precision 8.541E-01, accuracy 9.215E-01, average_precision 7.899E-01, loss/total 4.812E-01, loss/last 4.812E-01, loss/assignment_nll 4.812E-01, loss/nll_pos 7.147E-01, loss/nll_neg 2.477E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 9.042E-01}
[08/09/2024 21:56:26 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_7_37084.tar
[08/09/2024 21:56:28 gluefactory INFO] Starting epoch 8
[08/09/2024 21:56:28 gluefactory INFO] lr changed from 1e-05 to 1e-05
[08/09/2024 21:56:28 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 50.
Data logged to validation: {'epoch': 7, 'iteration': 1158, 'match_recall': 0.9217187468183166, 'match_precision': 0.8541394280224311, 'accuracy': 0.9215254568472141, 'average_precision': 0.789879149551591, 'loss/total': 0.4812216402761612, 'loss/last': 0.4812216402761612, 'loss/assignment_nll': 0.4812216402761612, 'loss/nll_pos': 0.7147279704073995, 'loss/nll_neg': 0.24771531289670526, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.9041702459082787}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4812216402761612
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/homes/tp4618/Documents/bitbucket/miniconda3/envs/redoGlue/lib/python3.12/site-packages/kornia/feature/lightglue.py:44: FutureWarning: `torch.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)
[08/09/2024 21:58:43 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_8_0_20240809_215843.pkl
[08/09/2024 21:58:43 gluefactory INFO] [E 8 | it 0] loss {total 4.249E-01, last 3.461E-01, assignment_nll 3.461E-01, nll_pos 4.814E-01, nll_neg 2.108E-01, num_matchable 2.325E+02, num_unmatchable 2.382E+02, confidence 7.450E-02, row_norm 9.257E-01}
dMEGA-grayscale-32-pretrain_intermediate_8_0_20240809_215843.pkl
[08/09/2024 21:58:43 gluefactory INFO] [E 8 | it 0] loss {total 1.131E-01, last 8.975E-02, assignment_nll 8.975E-02, nll_pos 1.174E-01, nll_neg 6.207E-02, num_matchable 5.575E+01, num_unmatchable 5.955E+01, confidence 2.234E-02, row_norm 2.297E-01}
from 1e-05 to 1e-05
[08/09/2024 21:58:10 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 50.
Data logged to validation: {'epoch': 7, 'iteration': 1158, 'match_recall': 0.9217187468183166, 'match_precision': 0.8541394280224311, 'accuracy': 0.9215254568472141, 'average_precision': 0.789879149551591, 'loss/total': 0.4812216402761612, 'loss/last': 0.4812216402761612, 'loss/assignment_nll': 0.4812216402761612, 'loss/nll_pos': 0.7147279704073995, 'loss/nll_neg': 0.24771531289670526, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.9041702459082787}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4812216402761612
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 21:58:43 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_8_0_20240809_215843.pkl
[08/09/2024 21:58:43 gluefactory INFO] [E 8 | it 0] loss {total 9.062E-02, last 7.316E-02, assignment_nll 7.316E-02, nll_pos 9.582E-02, nll_neg 5.051E-02, num_matchable 6.128E+01, num_unmatchable 5.694E+01, confidence 1.596E-02, row_norm 2.301E-01}
yscale-32-pretrain_intermediate_8_0_20240809_215843.pkl
[08/09/2024 21:58:43 gluefactory INFO] [E 8 | it 0] loss {total 6.752E-02, last 4.855E-02, assignment_nll 4.855E-02, nll_pos 5.758E-02, nll_neg 3.952E-02, num_matchable 6.303E+01, num_unmatchable 5.739E+01, confidence 1.709E-02, row_norm 2.375E-01}
[08/09/2024 22:05:54 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_8_250_20240809_220554.pkl
[08/09/2024 22:05:54 gluefactory INFO] [E 8 | it 250] loss {total 1.644E-01, last 1.293E-01, assignment_nll 1.293E-01, nll_pos 1.577E-01, nll_neg 1.009E-01, num_matchable 4.819E+01, num_unmatchable 6.620E+01, confidence 3.006E-02, row_norm 2.166E-01}
[08/09/2024 22:11:58 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_8_500_20240809_221158.pkl
[08/09/2024 22:11:58 gluefactory INFO] [E 8 | it 500] loss {total 1.322E-01, last 1.099E-01, assignment_nll 1.099E-01, nll_pos 1.722E-01, nll_neg 4.762E-02, num_matchable 5.359E+01, num_unmatchable 6.453E+01, confidence 1.862E-02, row_norm 2.240E-01}
Current iteraiton: 0
Data logged to training DataFrame: {'epoch': 8, 'iteration': 0, 'total': 0.11312931776046753, 'last': 0.08974574506282806, 'assignment_nll': 0.08974574506282806, 'nll_pos': 0.11741775274276733, 'nll_neg': 0.062073737382888794, 'num_matchable': 55.75, 'num_unmatchable': 59.546875, 'confidence': 0.022341500967741013, 'row_norm': 0.22968223690986633}
Current iteraiton: 250
Data logged to training DataFrame: {'epoch': 8, 'iteration': 250, 'total': 0.1465097963809967, 'last': 0.11739113926887512, 'assignment_nll': 0.11739113926887512, 'nll_pos': 0.1638350486755371, 'nll_neg': 0.07094722986221313, 'num_matchable': 52.3125, 'num_unmatchable': 64.25, 'confidence': 0.023468859493732452, 'row_norm': 0.2191818505525589}
Current iteraiton: 500
Data logged to training DataFrame: {'epoch': 8, 'iteration': 500, 'total': 0.13219380378723145, 'last': 0.10991323739290237, 'assignment_nll': 0.10991323739290237, 'nll_pos': 0.17220276594161987, 'nll_neg': 0.04762369766831398, 'num_matchable': 53.59375, 'num_unmatchable': 64.53125, 'confidence': 0.01861853525042534, 'row_norm': 0.22402164340019226}
line 813in train.py doing validation
/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)
[08/09/2024 22:19:29 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_221929.pkl
[08/09/2024 22:19:29 gluefactory INFO] [Validation] {match_recall 9.240E-01, match_precision 8.437E-01, accuracy 9.173E-01, average_precision 7.826E-01, loss/total 4.988E-01, loss/last 4.988E-01, loss/assignment_nll 4.988E-01, loss/nll_pos 6.959E-01, loss/nll_neg 3.018E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.873E-01}
[08/09/2024 22:20:05 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_222005.pkl
[08/09/2024 22:20:05 gluefactory INFO] [Validation] {match_recall 9.240E-01, match_precision 8.437E-01, accuracy 9.173E-01, average_precision 7.826E-01, loss/total 4.988E-01, loss/last 4.988E-01, loss/assignment_nll 4.988E-01, loss/nll_pos 6.959E-01, loss/nll_neg 3.018E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.873E-01}
[08/09/2024 22:20:18 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_222018.pkl
[08/09/2024 22:20:18 gluefactory INFO] [Validation] {match_recall 9.240E-01, match_precision 8.437E-01, accuracy 9.173E-01, average_precision 7.826E-01, loss/total 4.988E-01, loss/last 4.988E-01, loss/assignment_nll 4.988E-01, loss/nll_pos 6.959E-01, loss/nll_neg 3.018E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.873E-01}
[08/09/2024 22:21:32 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_222132.pkl
[08/09/2024 22:21:32 gluefactory INFO] [Validation] {match_recall 9.240E-01, match_precision 8.437E-01, accuracy 9.173E-01, average_precision 7.826E-01, loss/total 4.988E-01, loss/last 4.988E-01, loss/assignment_nll 4.988E-01, loss/nll_pos 6.959E-01, loss/nll_neg 3.018E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.873E-01}
[08/09/2024 22:26:48 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_8_40000.tar
[08/09/2024 22:27:20 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_8_750_20240809_222720.pkl
[08/09/2024 22:27:20 gluefactory INFO] [E 8 | it 750] loss {total 1.270E-01, last 1.083E-01, assignment_nll 1.083E-01, nll_pos 1.452E-01, nll_neg 7.139E-02, num_matchable 4.897E+01, num_unmatchable 6.767E+01, confidence 1.651E-02, row_norm 2.219E-01}
[08/09/2024 22:34:01 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_8_1000_20240809_223401.pkl
[08/09/2024 22:34:01 gluefactory INFO] [E 8 | it 1000] loss {total 7.600E-02, last 5.918E-02, assignment_nll 5.918E-02, nll_pos 7.917E-02, nll_neg 3.920E-02, num_matchable 7.353E+01, num_unmatchable 4.684E+01, confidence 1.449E-02, row_norm 2.337E-01}
Data logged to validation: {'epoch': 8, 'iteration': 500, 'match_recall': 0.9240418801324293, 'match_precision': 0.8436842596904741, 'accuracy': 0.917312284504495, 'average_precision': 0.7825659005899462, 'loss/total': 0.4988355109500553, 'loss/last': 0.4988355109500553, 'loss/assignment_nll': 0.4988355109500553, 'loss/nll_pos': 0.6958557604705, 'loss/nll_neg': 0.30181526296645506, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8873073900618205}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4988355109500553
best_eval 0.3751751895254082
Current iteraiton: 750
Data logged to training DataFrame: {'epoch': 8, 'iteration': 750, 'total': 0.11690742522478104, 'last': 0.0953001007437706, 'assignment_nll': 0.0953001007437706, 'nll_pos': 0.11647377163171768, 'nll_neg': 0.07412642985582352, 'num_matchable': 61.0, 'num_unmatchable': 54.875, 'confidence': 0.019640687853097916, 'row_norm': 0.22288620471954346}
Current iteraiton: 1000
Data logged to training DataFrame: {'epoch': 8, 'iteration': 1000, 'total': 0.07600249350070953, 'last': 0.059183284640312195, 'assignment_nll': 0.059183284640312195, 'nll_pos': 0.07916814088821411, 'nll_neg': 0.03919843211770058, 'num_matchable': 73.53125, 'num_unmatchable': 46.84375, 'confidence': 0.014490637928247452, 'row_norm': 0.23373189568519592}
line 813in train.py doing validation
/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//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)
[08/09/2024 22:41:22 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_224122.pkl
[08/09/2024 22:41:22 gluefactory INFO] [Validation] {match_recall 9.317E-01, match_precision 8.274E-01, accuracy 9.113E-01, average_precision 7.741E-01, loss/total 4.845E-01, loss/last 4.845E-01, loss/assignment_nll 4.845E-01, loss/nll_pos 6.081E-01, loss/nll_neg 3.609E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.784E-01}
[08/09/2024 22:41:57 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_224157.pkl
[08/09/2024 22:41:57 gluefactory INFO] [Validation] {match_recall 9.317E-01, match_precision 8.274E-01, accuracy 9.113E-01, average_precision 7.741E-01, loss/total 4.845E-01, loss/last 4.845E-01, loss/assignment_nll 4.845E-01, loss/nll_pos 6.081E-01, loss/nll_neg 3.609E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.784E-01}
[08/09/2024 22:42:12 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_224212.pkl
[08/09/2024 22:42:12 gluefactory INFO] [Validation] {match_recall 9.317E-01, match_precision 8.274E-01, accuracy 9.113E-01, average_precision 7.741E-01, loss/total 4.845E-01, loss/last 4.845E-01, loss/assignment_nll 4.845E-01, loss/nll_pos 6.081E-01, loss/nll_neg 3.609E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.784E-01}
[08/09/2024 22:43:40 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_224340.pkl
[08/09/2024 22:43:40 gluefactory INFO] [Validation] {match_recall 9.317E-01, match_precision 8.274E-01, accuracy 9.113E-01, average_precision 7.741E-01, loss/total 4.845E-01, loss/last 4.845E-01, loss/assignment_nll 4.845E-01, loss/nll_pos 6.081E-01, loss/nll_neg 3.609E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.784E-01}
Data logged to validation: {'epoch': 8, 'iteration': 1000, 'match_recall': 0.931700432965149, 'match_precision': 0.8274297585055388, 'accuracy': 0.911286209435413, 'average_precision': 0.774050399276853, 'loss/total': 0.4845188751660988, 'loss/last': 0.4845188751660988, 'loss/assignment_nll': 0.4845188751660988, 'loss/nll_pos': 0.6081329623996589, 'loss/nll_neg': 0.36090478971860135, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8783711072459869}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4845188751660988
best_eval 0.3751751895254082
line 813in train.py doing validation
/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)
/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)
[08/09/2024 22:54:39 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_225439.pkl
[08/09/2024 22:54:39 gluefactory INFO] [Validation] {match_recall 9.204E-01, match_precision 8.521E-01, accuracy 9.203E-01, average_precision 7.870E-01, loss/total 4.962E-01, loss/last 4.962E-01, loss/assignment_nll 4.962E-01, loss/nll_pos 7.330E-01, loss/nll_neg 2.594E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.999E-01}
[08/09/2024 22:54:45 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_8_41720.tar
[08/09/2024 22:54:47 gluefactory INFO] Starting epoch 9
[08/09/2024 22:54:47 gluefactory INFO] lr changed from 1e-05 to 1e-05
[08/09/2024 22:54:47 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 51.
Data logged to validation: {'epoch': 8, 'iteration': 1158, 'match_recall': 0.9204102165607625, 'match_precision': 0.8521219216157335, 'accuracy': 0.9202768434215506, 'average_precision': 0.7869595545094188, 'loss/total': 0.49619899977790355, 'loss/last': 0.49619899977790355, 'loss/assignment_nll': 0.49619899977790355, 'loss/nll_pos': 0.7329751700474411, 'loss/nll_neg': 0.2594228316267193, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.899888030535668}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.49619899977790355
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 22:55:13 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_225513[08/09/2024 22:55:23 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_225523.pkl
[08/09/2024 22:55:23 gluefactory INFO] [Validation] {match_recall 9.204E-01, match_precision 8.521E-01, accuracy 9.203E-01, average_precision 7.870E-01, loss/total 4.962E-01, loss/last 4.962E-01, loss/assignment_nll 4.962E-01, loss/nll_pos 7.330E-01, loss/nll_neg 2.594E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.999E-01}
[08/09/2024 22:55:29 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_8_41720.tar
[08/09/2024 22:55:31 gluefactory INFO] Starting epoch 9
[08/09/2024 22:55:31 gluefactory INFO] lr changed from 1e-05 to 1e-05
[08/09/2024 22:55:31 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 51.
Data logged to validation: {'epoch': 8, 'iteration': 1158, 'match_recall': 0.9204102165607625, 'match_precision': 0.8521219216157335, 'accuracy': 0.9202768434215506, 'average_precision': 0.7869595545094188, 'loss/total': 0.49619899977790355, 'loss/last': 0.49619899977790355, 'loss/assignment_nll': 0.49619899977790355, 'loss/nll_pos': 0.7329751700474411, 'loss/nll_neg': 0.2594228316267193, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.899888030535668}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROMightglue.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)
[08/09/2024 22:57:42 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_9_0_20240809_225742.pkl
[08/09/2024 22:57:42 gluefactory INFO] [E 9 | it 0] loss {total 4.946E-01, last 4.084E-01, assignment_nll 4.084E-01, nll_pos 5.948E-01, nll_neg 2.219E-01, num_matchable 2.069E+02, num_unmatchable 2.609E+02, confidence 8.626E-02, row_norm 9.157E-01}
yscale-32-pretrain_intermediate_9_0_20240809_225742.pkl
[08/09/2024 22:57:42 gluefactory INFO] [E 9 | it 0] loss {total 1.336E-01, last 1.174E-01, assignment_nll 1.174E-01, nll_pos 1.764E-01, nll_neg 5.849E-02, num_matchable 4.700E+01, num_unmatchable 6.988E+01, confidence 1.838E-02, row_norm 2.262E-01}
[08/09/2024 23:03:18 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_9_250_20240809_230318.pkl
[08/09/2024 23:03:18 gluefactory INFO] [E 9 | it 250] loss {total 1.190E-01, last 9.902E-02, assignment_nll 9.902E-02, nll_pos 1.080E-01, nll_neg 9.003E-02, num_matchable 5.116E+01, num_unmatchable 6.692E+01, confidence 1.765E-02, row_norm 2.244E-01}
[08/09/2024 23:10:07 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_9_500_20240809_231007.pkl
[08/09/2024 23:10:07 gluefactory INFO] [E 9 | it 500] loss {total 8.477E-02, last 6.098E-02, assignment_nll 6.098E-02, nll_pos 7.618E-02, nll_neg 4.578E-02, num_matchable 6.694E+01, num_unmatchable 5.027E+01, confidence 2.283E-02, row_norm 2.309E-01}
Current iteraiton: 0
Data logged to training DataFrame: {'epoch': 9, 'iteration': 0, 'total': 0.13364548981189728, 'last': 0.11742163449525833, 'assignment_nll': 0.11742163449525833, 'nll_pos': 0.17635425925254822, 'nll_neg': 0.05848901346325874, 'num_matchable': 47.0, 'num_unmatchable': 69.875, 'confidence': 0.018378514796495438, 'row_norm': 0.22623330354690552}
Current iteraiton: 250
Data logged to training DataFrame: {'epoch': 9, 'iteration': 250, 'total': 0.11897161602973938, 'last': 0.0990249514579773, 'assignment_nll': 0.0990249514579773, 'nll_pos': 0.10801747441291809, 'nll_neg': 0.0900324136018753, 'num_matchable': 51.15625, 'num_unmatchable': 66.921875, 'confidence': 0.017645400017499924, 'row_norm': 0.2244008630514145}
Current iteraiton: 500
Data logged to training DataFrame: {'epoch': 9, 'iteration': 500, 'total': 0.08477471768856049, 'last': 0.06098214164376259, 'assignment_nll': 0.06098214164376259, 'nll_pos': 0.07618293166160583, 'nll_neg': 0.04578135535120964, 'num_matchable': 66.9375, 'num_unmatchable': 50.265625, 'confidence': 0.02283046767115593, 'row_norm': 0.23092541098594666}
line 813in train.py doing validation
/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//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)
[08/09/2024 23:17:47 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_231746.pkl
[08/09/2024 23:17:47 gluefactory INFO] [Validation] {match_recall 9.259E-01, match_precision 8.439E-01, accuracy 9.180E-01, average_precision 7.843E-01, loss/total 4.814E-01, loss/last 4.814E-01, loss/assignment_nll 4.814E-01, loss/nll_pos 6.835E-01, loss/nll_neg 2.794E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.886E-01}
[08/09/2024 23:18:18 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_231818.pkl
[08/09/2024 23:18:18 gluefactory INFO] [Validation] {match_recall 9.259E-01, match_precision 8.439E-01, accuracy 9.180E-01, average_precision 7.843E-01, loss/total 4.814E-01, loss/last 4.814E-01, loss/assignment_nll 4.814E-01, loss/nll_pos 6.835E-01, loss/nll_neg 2.794E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.886E-01}
[08/09/2024 23:19:46 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_231946.pkl
[08/09/2024 23:19:46 gluefactory INFO] [Validation] {match_recall 9.259E-01, match_precision 8.439E-01, accuracy 9.180E-01, average_precision 7.843E-01, loss/total 4.814E-01, loss/last 4.814E-01, loss/assignment_nll 4.814E-01, loss/nll_pos 6.835E-01, loss/nll_neg 2.794E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.886E-01}
[08/09/2024 23:28:33 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_9_750_20240809_232833.pkl
[08/09/2024 23:28:33 gluefactory INFO] [E 9 | it 750] loss {total 2.154E-01, last 1.934E-01, assignment_nll 1.934E-01, nll_pos 3.197E-01, nll_neg 6.702E-02, num_matchable 4.722E+01, num_unmatchable 6.989E+01, confidence 2.025E-02, row_norm 2.205E-01}
[08/09/2024 23:30:08 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_9_45000.tar
[08/09/2024 23:34:53 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_9_1000_20240809_233453.pkl
[08/09/2024 23:34:53 gluefactory INFO] [E 9 | it 1000] loss {total 1.071E-01, last 9.020E-02, assignment_nll 9.020E-02, nll_pos 1.171E-01, nll_neg 6.333E-02, num_matchable 5.569E+01, num_unmatchable 6.136E+01, confidence 1.667E-02, row_norm 2.286E-01}
Data logged to validation: {'epoch': 9, 'iteration': 500, 'match_recall': 0.9259293900134256, 'match_precision': 0.8439122074572467, 'accuracy': 0.9180012923084485, 'average_precision': 0.7843064412007349, 'loss/total': 0.48142094877954145, 'loss/last': 0.48142094877954145, 'loss/assignment_nll': 0.48142094877954145, 'loss/nll_pos': 0.6834629498500027, 'loss/nll_neg': 0.2793789473975577, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8885854750975499}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.48142094877954145
best_eval 0.3751751895254082
Current iteraiton: 750
Data logged to training DataFrame: {'epoch': 9, 'iteration': 750, 'total': 0.2153947502374649, 'last': 0.19337166845798492, 'assignment_nll': 0.19337166845798492, 'nll_pos': 0.31972745060920715, 'nll_neg': 0.0670158863067627, 'num_matchable': 47.21875, 'num_unmatchable': 69.890625, 'confidence': 0.020249510183930397, 'row_norm': 0.2205362617969513}
Current iteraiton: 1000
Data logged to training DataFrame: {'epoch': 9, 'iteration': 1000, 'total': 0.10709567368030548, 'last': 0.09019797295331955, 'assignment_nll': 0.09019797295331955, 'nll_pos': 0.11706908047199249, 'nll_neg': 0.0633268728852272, 'num_matchable': 55.6875, 'num_unmatchable': 61.359375, 'confidence': 0.016665102913975716, 'row_norm': 0.22863063216209412}
line 813in train.py doing validation
/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./vol/bitbu/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)
[08/09/2024 23:42:17 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_234217.pkl
[08/09/2024 23:42:17 gluefactory INFO] [Validation] {match_recall 9.354E-01, match_precision 8.201E-01, accuracy 9.084E-01, average_precision 7.704E-01, loss/total 4.741E-01, loss/last 4.741E-01, loss/assignment_nll 4.741E-01, loss/nll_pos 5.736E-01, loss/nll_neg 3.745E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.783E-01}
[08/09/2024 23:43:06 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_234306.pkl
[08/09/2024 23:43:06 gluefactory INFO] [Validation] {match_recall 9.354E-01, match_precision 8.201E-01, accuracy 9.084E-01, average_precision 7.704E-01, loss/total 4.741E-01, loss/last 4.741E-01, loss/assignment_nll 4.741E-01, loss/nll_pos 5.736E-01, loss/nll_neg 3.745E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.783E-01}
[08/09/2024 23:44:50 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_234450.pkl
[08/09/2024 23:44:50 gluefactory INFO] [Validation] {match_recall 9.354E-01, match_precision 8.201E-01, accuracy 9.084E-01, average_precision 7.704E-01, loss/total 4.741E-01, loss/last 4.741E-01, loss/assignment_nll 4.741E-01, loss/nll_pos 5.736E-01, loss/nll_neg 3.745E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.783E-01}
Data logged to validation: {'epoch': 9, 'iteration': 1000, 'match_recall': 0.9354128656487016, 'match_precision': 0.8200840150437704, 'accuracy': 0.9084209098217795, 'average_precision': 0.7703863178396059, 'loss/total': 0.4740748974089008, 'loss/last': 0.4740748974089008, 'loss/assignment_nll': 0.4740748974089008, 'loss/nll_pos': 0.5736470074396101, 'loss/nll_neg': 0.3745027822899902, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.878311019824357}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4740748974089008
best_eval 0.3751751895254082
line 813in train.py doing validation
/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)
[08/09/2024 23:56:13 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_235613.pkl
[08/09/2024 23:56:13 gluefactory INFO] [Validation] {match_recall 9.250E-01, match_precision 8.461E-01, accuracy 9.187E-01, average_precision 7.854E-01, loss/total 4.792E-01, loss/last 4.792E-01, loss/assignment_nll 4.792E-01, loss/nll_pos 6.833E-01, loss/nll_neg 2.750E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.937E-01}
[08/09/2024 23:56:20 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_9_46356.tar
[08/09/2024 23:56:21 gluefactory INFO] Starting epoch 10
[08/09/2024 23:56:21 gluefactory INFO] lr changed from 1e-05 to 9.501185073181438e-06
[08/09/2024 23:56:21 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 52.
Data logged to validation: {'epoch': 9, 'iteration': 1158, 'match_recall': 0.9249819368020167, 'match_precision': 0.8460746019974819, 'accuracy': 0.9187493777441231, 'average_precision': 0.7854231214689461, 'loss/total': 0.4791637563954662, 'loss/last': 0.4791637563954662, 'loss/assignment_nll': 0.4791637563954662, 'loss/nll_pos': 0.6833365229987102, 'loss/nll_neg': 0.27499098925224996, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8936804262603202}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4791637563954662
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 23:56:50 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_235650.pkl
[08/09/2024 23:56:50 gluefactory INFO] [Validation] {match_recall 9.250E-01, match_precision 8.461E-01, accuracy 9.187E-01, average_precision 7.854E-01, loss/total 4.792E-01, loss/last 4.792E-01, loss/assignment_nll 4.792E-01, loss/nll_pos 6.833E-01, loss/nll_neg 2.750E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.937E-01}
[08/09/2024 23:56:57 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_9_46356.tar
[08/09/2024 23:56:58 gluefactory INFO] Starting epoch 10
[08/09/2024 23:56:58 gluefactory INFO] lr changed from 1e-05 to 9.501185073181438e-06
[08/09/2024 23:56:58 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 52.
Data logged to validation: {'epoch': 9, 'iteration': 1158, 'match_recall': 0.9249819368020167, 'match_precision': 0.8460746019974819, 'accuracy': 0.9187493777441231, 'average_precision': 0.7854231214689461, 'loss/total': 0.4791637563954662, 'loss/last': 0.4791637563954662, 'loss/assignment_nll': 0.4791637563954662, 'loss/nll_pos': 0.6833365229987102, 'loss/nll_neg': 0.27499098925224996, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8936804262603202}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4791637563954662
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 23:58:35 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240809_235835.pkl
[08/09/2024 23:58:35 gluefactory INFO] [Validation] {match_recall 9.250E-01, match_precision 8.461E-01, accuracy 9.187E-01, average_precision 7.854E-01, loss/total 4.792E-01, loss/last 4.792E-01, loss/assignment_nll 4.792E-01, loss/nll_pos 6.833E-01, loss/nll_neg 2.750E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.937E-01}
[08/09/2024 23:58:42 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_9_46356.tar
[08/09/2024 23:58:43 gluefactory INFO] Starting epoch 10
[08/09/2024 23:58:43 gluefactory INFO] lr changed from 1e-05 to 9.501185073181438e-06
[08/09/2024 23:58:43 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 52.
Data logged to validation: {'epoch': 9, 'iteration': 1158, 'match_recall': 0.9249819368020167, 'match_precision': 0.8460746019974819, 'accuracy': 0.9187493777441231, 'average_precision': 0.7854231214689461, 'loss/total': 0.4791637563954662, 'loss/last': 0.4791637563954662, 'loss/assignment_nll': 0.4791637563954662, 'loss/nll_pos': 0.6833365229987102, 'loss/nll_neg': 0.27499098925224996, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8936804262603202}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4791637563954662
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/09/2024 23:59:19 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_10_0_20240809_235919.pkl
[08/09/2024 23:59:19 gluefactory INFO] [E 10 | it 0] loss {total 3.716E-01, last 3.020E-01, assignment_nll 3.020E-01, nll_pos 4.125E-01, nll_neg 1.915E-01, num_matchable 2.446E+02, num_unmatchable 2.282E+02, confidence 6.249E-02, row_norm 9.274E-01}
cale-32-pretrain_intermediate_10_0_20240809_235919.pkl
[08/09/2024 23:59:19 gluefactory INFO] [E 10 | it 0] loss {total 1.124E-01, last 9.330E-02, assignment_nll 9.330E-02, nll_pos 1.258E-01, nll_neg 6.083E-02, num_matchable 4.766E+01, num_unmatchable 6.905E+01, confidence 1.706E-02, row_norm 2.273E-01}
[08/10/2024 00:08:05 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_10_250_20240810_000805.pkl
[08/10/2024 00:08:05 gluefactory INFO] [E 10 | it 250] loss {total 1.340E-01, last 1.128E-01, assignment_nll 1.128E-01, nll_pos 1.481E-01, nll_neg 7.761E-02, num_matchable 5.200E+01, num_unmatchable 6.336E+01, confidence 1.770E-02, row_norm 2.275E-01}
[08/10/2024 00:14:34 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_10_500_20240810_001434.pkl
[08/10/2024 00:14:34 gluefactory INFO] [E 10 | it 500] loss {total 1.144E-01, last 9.516E-02, assignment_nll 9.516E-02, nll_pos 9.494E-02, nll_neg 9.539E-02, num_matchable 5.159E+01, num_unmatchable 6.472E+01, confidence 2.073E-02, row_norm 2.246E-01}
Current iteraiton: 0
Data logged to training DataFrame: {'epoch': 10, 'iteration': 0, 'total': 0.11239279806613922, 'last': 0.09330130368471146, 'assignment_nll': 0.09330130368471146, 'nll_pos': 0.12577369809150696, 'nll_neg': 0.060828905552625656, 'num_matchable': 47.65625, 'num_unmatchable': 69.046875, 'confidence': 0.017058154568076134, 'row_norm': 0.22727862000465ent iteraiton: 250
Data logged to training DataFrame: {'epoch': 10, 'iteration': 250, 'total': 0.10036887973546982, 'last': 0.07865916937589645, 'assignment_nll': 0.07865916937589645, 'nll_pos': 0.08570624887943268, 'nll_neg': 0.07161208987236023, 'num_matchable': 61.09375, 'num_unmatchable': 53.546875, 'confidence': 0.020032187923789024, 'row_norm': 0.22456470131874084}
Current iteraiton: 500
Data logged to training DataFrame: {'epoch': 10, 'iteration': 500, 'total': 0.1503661870956421, 'last': 0.12792852520942688, 'assignment_nll': 0.12792852520942688, 'nll_pos': 0.1691165268421173, 'nll_neg': 0.08674052357673645, 'num_matchable': 52.15625, 'num_unmatchable': 65.03125, 'confidence': 0.020673910155892372, 'row_norm': 0.21747301518917084}
line 813in train.py doing validation
/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)
[08/10/2024 00:21:42 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_002142.pkl
[08/10/2024 00:21:42 gluefactory INFO] [Validation] {match_recall 9.337E-01, match_precision 8.246E-01, accuracy 9.105E-01, average_precision 7.732E-01, loss/total 4.755E-01, loss/last 4.755E-01, loss/assignment_nll 4.755E-01, loss/nll_pos 5.927E-01, loss/nll_neg 3.584E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.802E-01}
[08/10/2024 00:22:45 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_002245.pkl
[08/10/2024 00:22:45 gluefactory INFO] [Validation] {match_recall 9.337E-01, match_precision 8.246E-01, accuracy 9.105E-01, average_precision 7.732E-01, loss/total 4.755E-01, loss/last 4.755E-01, loss/assignment_nll 4.755E-01, loss/nll_pos 5.927E-01, loss/nll_neg 3.584E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.802E-01}
[08/10/2024 00:24:35 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_002435.pkl
[08/10/2024 00:24:35 gluefactory INFO] [Validation] {match_recall 9.337E-01, match_precision 8.246E-01, accuracy 9.105E-01, average_precision 7.732E-01, loss/total 4.755E-01, loss/last 4.755E-01, loss/assignment_nll 4.755E-01, loss/nll_pos 5.927E-01, loss/nll_neg 3.584E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.802E-01}
[08/10/2024 00:31:10 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_10_750_20240810_003110.pkl
[08/10/2024 00:31:10 gluefactory INFO] [E 10 | it 750] loss {total 7.793E-02, last 6.456E-02, assignment_nll 6.456E-02, nll_pos 7.965E-02, nll_neg 4.947E-02, num_matchable 6.228E+01, num_unmatchable 5.762E+01, confidence 1.179E-02, row_norm 2.342E-01}
[08/10/2024 00:35:30 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_10_50000.tar
[08/10/2024 00:38:04 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_10_1000_20240810_003804.pkl
[08/10/2024 00:38:04 gluefactory INFO] [E 10 | it 1000] loss {total 1.139E-01, last 9.394E-02, assignment_nll 9.394E-02, nll_pos 9.161E-02, nll_neg 9.628E-02, num_matchable 6.034E+01, num_unmatchable 5.758E+01, confidence 2.202E-02, row_norm 2.248E-01}
Data logged to validation: {'epoch': 10, 'iteration': 500, 'match_recall': 0.9336748526486786, 'match_precision': 0.8246064967394706, 'accuracy': 0.9104934105474359, 'average_precision': 0.7732350612351288, 'loss/total': 0.47554395745024863, 'loss/last': 0.47554395745024863, 'loss/assignment_nll': 0.47554395745024863, 'loss/nll_pos': 0.5926690258007847, 'loss/nll_neg': 0.35841888515376047, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8801883740707557}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.47554395745024863
best_eval 0.3751751895254082
Current iteraiton: 750
Data logged to training DataFrame: {'epoch': 10, 'iteration': 750, 'total': 0.0880737230181694, 'last': 0.07168276607990265, 'assignment_nll': 0.07168276607990265, 'nll_pos': 0.08398792147636414, 'nll_neg': 0.05937761813402176, 'num_matchable': 65.9375, 'num_unmatchable': 52.515625, 'confidence': 0.01534299273043871, 'row_norm': 0.2284098118543625}
Current iteraiton: 1000
Data logged to training DataFrame: {'epoch': 10, 'iteration': 1000, 'total': 0.11385180801153183, 'last': 0.09394435584545135, 'assignment_nll': 0.09394435584545135, 'nll_pos': 0.09160671383142471, 'nll_neg': 0.096281997859478, 'num_matchable': 60.34375, 'num_unmatchable': 57.578125, 'confidence': 0.022020649164915085, 'row_norm': 0.22480806708335876}
line 813in train.py doing validation
/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)
[08/10/2024 00:46:03 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_004603.pkl
[08/10/2024 00:46:03 gluefactory INFO] [Validation] {match_recall 9.343E-01, match_precision 8.240E-01, accuracy 9.102E-01, average_precision 7.730E-01, loss/total 4.728E-01, loss/last 4.728E-01, loss/assignment_nll 4.728E-01, loss/nll_pos 5.836E-01, loss/nll_neg 3.621E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.796E-01}
[08/10/2024 00:46:53 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_004653.pkl
[08/10/2024 00:46:53 gluefactory INFO] [Validation] {match_recall 9.343E-01, match_precision 8.240E-01, accuracy 9.102E-01, average_precision 7.730E-01, loss/total 4.728E-01, loss/last 4.728E-01, loss/assignment_nll 4.728E-01, loss/nll_pos 5.836E-01, loss/nll_neg 3.621E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.796E-01}
[08/10/2024 00:47:42 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_004742.pkl
[08/10/2024 00:47:42 gluefactory INFO] [Validation] {match_recall 9.343E-01, match_precision 8.240E-01, accuracy 9.102E-01, average_precision 7.730E-01, loss/total 4.728E-01, loss/last 4.728E-01, loss/assignment_nll 4.728E-01, loss/nll_pos 5.836E-01, loss/nll_neg 3.621E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.796E-01}
Data logged to validation: {'epoch': 10, 'iteration': 1000, 'match_recall': 0.9342829011873917, 'match_precision': 0.8239732051144909, 'accuracy': 0.9101903677817421, 'average_precision': 0.7730132213452967, 'loss/total': 0.47284262398394145, 'loss/last': 0.47284262398394145, 'loss/assignment_nll': 0.47284262398394145, 'loss/nll_pos': 0.5835786958397058, 'loss/nll_neg': 0.3621065505705644, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8796247764746902}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.47284262398394145
best_eval 0.3751751895254082
line 813in train.py doing validation
/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)
[08/10/2024 00:58:58 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_005858.pkl
[08/10/2024 00:58:58 gluefactory INFO] [Validation] {match_recall 9.317E-01, match_precision 8.319E-01, accuracy 9.137E-01, average_precision 7.782E-01, loss/total 4.680E-01, loss/last 4.680E-01, loss/assignment_nll 4.680E-01, loss/nll_pos 6.149E-01, loss/nll_neg 3.211E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.871E-01}
[08/10/2024 00:59:04 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_10_50992.tar
[08/10/2024 00:59:06 gluefactory INFO] Starting epoch 11
[08/10/2024 00:59:06 gluefactory INFO] lr changed from 9.501185073181438e-06 to 9.027251779484575e-06
[08/10/2024 00:59:06 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 53.
Data logged to validation: {'epoch': 10, 'iteration': 1158, 'match_recall': 0.931688207616374, 'match_precision': 0.8318820277988288, 'accuracy': 0.9136598069493364, 'average_precision': 0.7781946630843425, 'loss/total': 0.46800295880862647, 'loss/last': 0.46800295880862647, 'loss/assignment_nll': 0.46800295880862647, 'loss/nll_pos': 0.6149258747956479, 'loss/nll_neg': 0.32108004273853236, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8870878472976153}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.46800295880862647
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/10/2024 00:59:30 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_005930.pkl
[08/10/2024 00:59:30 gluefactory INFO] [Validation] {match_recall 9.317E-01, match_precision 8.319E-01, accuracy 9.137E-01, average_precision 7.782E-01, loss/total 4.680E-01, loss/last 4.680E-01, loss/assignment_nll 4.680E-01, loss/nll_pos 6.149E-01, loss/nll_neg 3.211E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.871E-01}
[08/10/2024 00:59:36 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_10_50992.tar
[08/10/2024 00:59:38 gluefactory INFO] Starting epoch 11
[08/10/2024 00:59:38 gluefactory INFO] lr changed from 9.501185073181438e-06 to 9.027251779484575e-06
[08/10/2024 00:59:38 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 53.
Data logged to validation: {'epoch': 10, 'iteration': 1158, 'match_recall': 0.931688207616374, 'match_precision': 0.8318820277988288, 'accuracy': 0.9136598069493364, 'average_precision': 0.7781946630843425, 'loss/total': 0.46800295880862647, 'loss/last': 0.46800295880862647, 'loss/assignment_nll': 0.46800295880862647, 'loss/nll_pos': 0.6149258747956479, 'loss/nll_neg': 0.32108004273853236, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8870878472976153}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.46800295880862647
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
/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)
[08/10/2024 01:01:25 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_010125.pkl
[08/10/2024 01:01:25 gluefactory INFO] [Validation] {match_recall 9.317E-01, match_precision 8.319E-01, accuracy 9.137E-01, average_precision 7.782E-01, loss/total 4.680E-01, loss/last 4.680E-01, loss/assignment_nll 4.680E-01, loss/nll_pos 6.149E-01, loss/nll_neg 3.211E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.871E-01}
[08/10/2024 01:01:31 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_10_50992.tar
[08/10/2024 01:01:33 gluefactory INFO] Starting epoch 11
[08/10/2024 01:01:33 gluefactory INFO] lr changed from 9.501185073181438e-06 to 9.027251779484575e-06
[08/10/2024 01:01:33 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 53.
Data logged to validation: {'epoch': 10, 'iteration': 1158, 'match_recall': 0.931688207616374, 'match_precision': 0.8318820277988288, 'accuracy': 0.9136598069493364, 'average_precision': 0.7781946630843425, 'loss/total': 0.46800295880862647, 'loss/last': 0.46800295880862647, 'loss/assignment_nll': 0.46800295880862647, 'loss/nll_pos': 0.6149258747956479, 'loss/nll_neg': 0.32108004273853236, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8870878472976153}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.46800295880862647
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/10/2024 01:02:08 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_11_0_20240810_010208.pkl
[08/10/2024 01:02:08 gluefactory INFO] [E 11 | it 0] loss {total 9.370E-02, last 7.567E-02, assignment_nll 7.567E-02, nll_pos 8.736E-02, nll_neg 6.399E-02, num_matchable 5.831E+01, num_unmatchable 5.808E+01, confidence 1.590E-02, row_norm 2.252E-01}
cale-32-pretrain_intermediate_11_0_20240810_010208.pkl
[08/10/2024 01:02:08 gluefactory INFO] [E 11 | it 0] loss {total 1.288E-01, last 1.091E-01, assignment_nll 1.091E-01, nll_pos 1.453E-01, nll_neg 7.295E-02, num_matchable 5.253E+01, num_unmatchable 6.211E+01, confidence 1.759E-02, row_norm 2.232E-01}
[08/10/2024 01:07:39 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_11_250_20240810_010739.pkl
[08/10/2024 01:07:39 gluefactory INFO] [E 11 | it 250] loss {total 4.075E-01, last 3.228E-01, assignment_nll 3.228E-01, nll_pos 4.589E-01, nll_neg 1.867E-01, num_matchable 2.254E+02, num_unmatchable 2.460E+02, confidence 8.114E-02, row_norm 9.315E-01}
[08/10/2024 01:09:14 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_11_250_20240810_010739.pkl
[08/10/2024 01:09:14 gluefactory INFO] [E 11 | it 250] loss {total 1.115E-01, last 9.166E-02, assignment_nll 9.166E-02, nll_pos 1.390E-01, nll_neg 4.432E-02, num_matchable 5.384E+01, num_unmatchable 6.472E+01, confidence 1.950E-02, row_norm 2.325E-01}
[08/10/2024 01:19:11 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_11_500_20240810_011911.pkl
[08/10/2024 01:19:11 gluefactory INFO] [E 11 | it 500] loss {total 1.420E-01, last 1.196E-01, assignment_nll 1.196E-01, nll_pos 1.634E-01, nll_neg 7.590E-02, num_matchable 5.431E+01, num_unmatchable 6.106E+01, confidence 1.931E-02, row_norm 2.226E-01}
Current iteraiton: 0
Data logged to training DataFrame: {'epoch': 11, 'iteration': 0, 'total': 0.128795325756073, 'last': 0.10913816094398499, 'assignment_nll': 0.10913816094398499, 'nll_pos': 0.1453266441822052, 'nll_neg': 0.07294967770576477, 'num_matchable': 52.53125, 'num_unmatchable': 62.109375, 'confidence': 0.017592020332813263, 'row_norm': 0.22323061525821686}
Current iteraiton: 250
Data logged to training DataFrame: {'epoch': 11, 'iteration': 250, 'total': 0.11153864115476608, 'last': 0.09165534377098083, 'assignment_nll': 0.09165534377098083, 'nll_pos': 0.13899338245391846, 'nll_neg': 0.04431731998920441, 'num_matchable': 53.84375,num_unmatchable': 62.875, 'confidence': 0.019511651247739792, 'row_norm': 0.2342076301574707}
Current iteraiton: 500
Data logged to training DataFrame: {'epoch': 11, 'iteration': 500, 'total': 0.1250966489315033, 'last': 0.10673817992210388, 'assignment_nll': 0.10673817992210388, 'nll_pos': 0.15534177422523499, 'nll_neg': 0.05813458561897278, 'num_matchable': 48.84375, 'num_unmatchable': 68.75, 'confidence': 0.016636956483125687, 'row_norm': 0.22687950730323792}
line 813in train.py doing validation
/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)
[08/10/2024 01:32:39 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_013138.pkl
[08/10/2024 01:32:39 gluefactory INFO] [Validation] {match_recall 9.308E-01, match_precision 8.354E-01, accuracy 9.152E-01, average_precision 7.806E-01, loss/total 4.662E-01, loss/last 4.662E-01, loss/assignment_nll 4.662E-01, loss/nll_pos 6.294E-01, loss/nll_neg 3.030E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.890E-01}
[08/10/2024 01:32:44 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_013228.pkl
[08/10/2024 01:32:44 gluefactory INFO] [Validation] {match_recall 9.308E-01, match_precision 8.354E-01, accuracy 9.152E-01, average_precision 7.806E-01, loss/total 4.662E-01, loss/last 4.662E-01, loss/assignment_nll 4.662E-01, loss/nll_pos 6.294E-01, loss/nll_neg 3.030E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.890E-01}
[08/10/2024 01:33:26 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_013326.pkl
[08/10/2024 01:33:26 gluefactory INFO] [Validation] {match_recall 9.308E-01, match_precision 8.354E-01, accuracy 9.152E-01, average_precision 7.806E-01, loss/total 4.662E-01, loss/last 4.662E-01, loss/assignment_nll 4.662E-01, loss/nll_pos 6.294E-01, loss/nll_neg 3.030E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.890E-01}
[08/10/2024 01:50:37 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_11_750_20240810_015037.pkl
[08/10/2024 01:50:37 gluefactory INFO] [E 11 | it 750] loss {total 8.481E-02, last 6.597E-02, assignment_nll 6.597E-02, nll_pos 9.259E-02, nll_neg 3.934E-02, num_matchable 5.925E+01, num_unmatchable 6.025E+01, confidence 1.662E-02, row_norm 2.327E-01}
[08/10/2024 01:58:31 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_11_1000_20240810_015831.pkl
[08/10/2024 01:58:31 gluefactory INFO] [E 11 | it 1000] loss {total 9.677E-02, last 7.968E-02, assignment_nll 7.968E-02, nll_pos 8.895E-02, nll_neg 7.042E-02, num_matchable 4.988E+01, num_unmatchable 6.741E+01, confidence 1.637E-02, row_norm 2.274E-01}
Data logged to validation: {'epoch': 11, 'iteration': 500, 'match_recall': 0.930760565576653, 'match_precision': 0.8353997357215616, 'accuracy': 0.9151939392089844, 'average_precision': 0.7805913272635031, 'loss/total': 0.46622027137969013, 'loss/last': 0.46622027137969013, 'loss/assignment_nll': 0.46622027137969013, 'loss/nll_pos': 0.6294410207130352, 'loss/nll_neg': 0.30299952256554924, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.888958728438055}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.46622027137969013
best_eval 0.3751751895254082
Current iteraiton: 750
Data logged to training DataFrame: {'epoch': 11, 'iteration': 750, 'total': 0.08969907462596893, 'last': 0.07090233266353607, 'assignment_nll': 0.07090233266353607, 'nll_pos': 0.08493897318840027, 'nll_neg': 0.05686568841338158, 'num_matchable': 61.875, 'num_unmatchable': 55.53125, 'confidence': 0.018078090623021126, 'row_norm': 0.23246851563453674}
Current iteraiton: 1000
Data logged to training DataFrame: {'epoch': 11, 'iteration': 1000, 'total': 0.09677018225193024, 'last': 0.079681396484375, 'assignment_nll': 0.079681396484375, 'nll_pos': 0.0889466404914856, 'nll_neg': 0.07041614502668381, 'num_matchable': 49.875, 'num_unmatchable': 67.40625, 'confidence': 0.016368025913834572, 'row_norm': 0.22737333178520203}
line 813in train.py doing validation
/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)
[08/10/2024 02:05:58 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_020558.pkl
[08/10/2024 02:05:58 gluefactory INFO] [Validation] {match_recall 9.337E-01, match_precision 8.265E-01, accuracy 9.115E-01, average_precision 7.750E-01, loss/total 4.658E-01, loss/last 4.658E-01, loss/assignment_nll 4.658E-01, loss/nll_pos 5.955E-01, loss/nll_neg 3.361E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.871E-01}
[08/10/2024 02:06:52 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_020652.pkl
[08/10/2024 02:06:52 gluefactory INFO] [Validation] {match_recall 9.337E-01, match_precision 8.265E-01, accuracy 9.115E-01, average_precision 7.750E-01, loss/total 4.658E-01, loss/last 4.658E-01, loss/assignment_nll 4.658E-01, loss/nll_pos 5.955E-01, loss/nll_neg 3.361E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.871E-01}
[08/10/2024 02:07:12 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_020712.pkl
[08/10/2024 02:07:12 gluefactory INFO] [Validation] {match_recall 9.337E-01, match_precision 8.265E-01, accuracy 9.115E-01, average_precision 7.750E-01, loss/total 4.658E-01, loss/last 4.658E-01, loss/assignment_nll 4.658E-01, loss/nll_pos 5.955E-01, loss/nll_neg 3.361E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.871E-01}
[08/10/2024 02:08:37 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_020837.pkl
[08/10/2024 02:08:37 gluefactory INFO] [Validation] {match_recall 9.337E-01, match_precision 8.265E-01, accuracy 9.115E-01, average_precision 7.750E-01, loss/total 4.658E-01, loss/last 4.658E-01, loss/assignment_nll 4.658E-01, loss/nll_pos 5.955E-01, loss/nll_neg 3.361E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.871E-01}
[08/10/2024 02:08:39 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_11_55000.tar
Data logged to validation: {'epoch': 11, 'iteration': 1000, 'match_recall': 0.9336673319547434, 'match_precision': 0.8265476538329174, 'accuracy': 0.911504790550325, 'average_precision': 0.7750301894410562, 'loss/total': 0.4658402679273891, 'loss/last': 0.4658402679273891, 'loss/assignment_nll': 0.4658402679273891, 'loss/nll_pos': 0.595543608827458, 'loss/nll_neg': 0.33613692792035144, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8870955884248953}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4658402679273891
best_eval 0.3751751895254082
line 813in train.py doing validation
/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)
[08/10/2024 02:19:38 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_021938.pkl
[08/10/2024 02:19:38 gluefactory INFO] [Validation] {match_recall 9.364E-01, match_precision 8.183E-01, accuracy 9.078E-01, average_precision 7.697E-01, loss/total 4.665E-01, loss/last 4.665E-01, loss/assignment_nll 4.665E-01, loss/nll_pos 5.633E-01, loss/nll_neg 3.697E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.798E-01}
[08/10/2024 02:19:44 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_11_55628.tar
[08/10/2024 02:19:46 gluefactory INFO] Starting epoch 12
[08/10/2024 02:19:46 gluefactory INFO] lr changed from 9.027251779484575e-06 to 8.576958985908942e-06
[08/10/2024 02:19:46 gluefactory.datasets.treedepth INFO] Sampling new items for train with seed 54.
Data logged to validation: {'epoch': 11, 'iteration': 1158, 'match_recall': 0.9364331620080131, 'match_precision': 0.81829086060308, 'accuracy': 0.907834545120545, 'average_precision': 0.7696987309937693, 'loss/total': 0.4664769763730544, 'loss/last': 0.4664769763730544, 'loss/assignment_nll': 0.4664769763730544, 'loss/nll_pos': 0.5632544166535035, 'loss/nll_neg': 0.369699534950356, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8797831209279103}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4664769763730544
best_eval 0.3751751895254082
591 train.py, conf.train.lr_schedule.on_epoch is: True
!!!!!sample_new_items: num_per_scene: 300
did a random shuffle!!!
/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)
[08/10/2024 02:22:13 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_12_0_20240810_022213.pkl
[08/10/2024 02:22:13 gluefactory INFO] [E 12 | it 0] loss {total 7.976E-02, last 6.373E-02, assignment_nll 6.373E-02, nll_pos 6.866E-02, nll_neg 5.880E-02, num_matchable 6.041E+01, num_unmatchable 5.870E+01, confidence 1.468E-02, row_norm 2.303E-01}
[08/10/2024 02:27:52 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_12_250_20240810_022752.pkl
[08/10/2024 02:27:52 gluefactory INFO] [E 12 | it 250] loss {total 9.343E-02, last 7.617E-02, assignment_nll 7.617E-02, nll_pos 7.698E-02, nll_neg 7.536E-02, num_matchable 5.609E+01, num_unmatchable 6.122E+01, confidence 1.696E-02, row_norm 2.296E-01}
[08/10/2024 02:33:27 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_12_500_20240810_023327.pkl
[08/10/2024 02:33:27 gluefactory INFO] [E 12 | it 500] loss {total 1.379E-01, last 1.164E-01, assignment_nll 1.164E-01, nll_pos 1.429E-01, nll_neg 8.988E-02, num_matchable 4.584E+01, num_unmatchable 6.883E+01, confidence 1.909E-02, row_norm 2.214E-01}
Current iteraiton: 0
Data logged to training DataFrame: {'epoch': 12, 'iteration': 0, 'total': 0.15943202376365662, 'last': 0.13785043358802795, 'assignment_nll': 0.13785043358802795, 'nll_pos': 0.16403421759605408, 'nll_neg': 0.11166663467884064, 'num_matchable': 45.125, 'num_unmatchable': 68.1875, 'confidence': 0.022199036553502083, 'row_norm': 0.21656988561153412}
Current iteraiton: 250
Data logged to training DataFrame: {'epoch': 12, 'iteration': 250, 'total': 0.09343278408050537, 'last': 0.07617159187793732, 'assignment_nll': 0.07617159187793732, 'nll_pos': 0.0769810825586319, 'nll_neg': 0.07536211609840393, 'num_matchable': 56.09375, 'num_unmatchable': 61.21875, 'confidence': 0.01695917546749115, 'row_norm': 0.22960615158081055}
Current iteraiton: 500
Data logged to training DataFrame: {'epoch': 12, 'iteration': 500, 'total': 0.13794642686843872, 'last': 0.11640235036611557, 'assignment_nll': 0.11640235036611557, 'nll_pos': 0.1429274082183838, 'nll_neg': 0.08987729251384735, 'num_matchable': 45.84375, 'num_unmatchable': 68.828125, 'confidence': 0.019088976085186005, 'row_norm': 0.2214047908782959}
line 813in train.py doing validation
/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/b/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)
[08/10/2024 02:41:04 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_024104.pkl
[08/10/2024 02:41:04 gluefactory INFO] [Validation] {match_recall 9.340E-01, match_precision 8.245E-01, accuracy 9.104E-01, average_precision 7.733E-01, loss/total 4.691E-01, loss/last 4.691E-01, loss/assignment_nll 4.691E-01, loss/nll_pos 5.945E-01, loss/nll_neg 3.437E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.866E-01}
[08/10/2024 02:41:41 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_024141.pkl
[08/10/2024 02:41:41 gluefactory INFO] [Validation] {match_recall 9.340E-01, match_precision 8.245E-01, accuracy 9.104E-01, average_precision 7.733E-01, loss/total 4.691E-01, loss/last 4.691E-01, loss/assignment_nll 4.691E-01, loss/nll_pos 5.945E-01, loss/nll_neg 3.437E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.866E-01}
[08/10/2024 02:41:53 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_024153.pkl
[08/10/2024 02:41:53 gluefactory INFO] [Validation] {match_recall 9.340E-01, match_precision 8.245E-01, accuracy 9.104E-01, average_precision 7.733E-01, loss/total 4.691E-01, loss/last 4.691E-01, loss/assignment_nll 4.691E-01, loss/nll_pos 5.945E-01, loss/nll_neg 3.437E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.866E-01}
[08/10/2024 02:43:03 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_024303.pkl
[08/10/2024 02:43:03 gluefactory INFO] [Validation] {match_recall 9.340E-01, match_precision 8.245E-01, accuracy 9.104E-01, average_precision 7.733E-01, loss/total 4.691E-01, loss/last 4.691E-01, loss/assignment_nll 4.691E-01, loss/nll_pos 5.945E-01, loss/nll_neg 3.437E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.866E-01}
[08/10/2024 02:48:20 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_12_750_20240810_024820.pkl
[08/10/2024 02:48:20 gluefactory INFO] [E 12 | it 750] loss {total 8.297E-02, last 6.601E-02, assignment_nll 6.601E-02, nll_pos 8.156E-02, nll_neg 5.046E-02, num_matchable 6.116E+01, num_unmatchable 5.952E+01, confidence 1.449E-02, row_norm 2.337E-01}
[08/10/2024 02:53:34 gluefactory INFO] \Training intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/train_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_intermediate_12_1000_20240810_025334.pkl
[08/10/2024 02:53:34 gluefactory INFO] [E 12 | it 1000] loss {total 1.660E-01, last 1.257E-01, assignment_nll 1.257E-01, nll_pos 1.438E-01, nll_neg 1.075E-01, num_matchable 4.997E+01, num_unmatchable 6.697E+01, confidence 3.369E-02, row_norm 2.124E-01}
Data logged to validation: {'epoch': 12, 'iteration': 500, 'match_recall': 0.9340391951986307, 'match_precision': 0.8244575955726544, 'accuracy': 0.9104373928146495, 'average_precision': 0.7733330562139638, 'loss/total': 0.4691278550059953, 'loss/last': 0.4691278550059953, 'loss/assignment_nll': 0.4691278550059953, 'loss/nll_pos': 0.594542253806616, 'loss/nll_neg': 0.3437134552708071, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8866347373985662}
comparing to see if it hte best experiment 875 train.py
key used was loss/total
FROM RESULTS [conf.train.best_key] 0.4691278550059953
best_eval 0.3751751895254082
Current iteraiton: 750
Data logged to training DataFrame: {'epoch': 12, 'iteration': 750, 'total': 0.08296699821949005, 'last': 0.06600868701934814, 'assignment_nll': 0.06600868701934814, 'nll_pos': 0.08155924081802368, 'nll_neg': 0.05045813322067261, 'num_matchable': 61.15625, 'num_unmatchable': 59.515625, 'confidence': 0.014485073275864124, 'row_norm': 0.2336840033531189}
Current iteraiton: 1000
Data logged to training DataFrame: {'epoch': 12, 'iteration': 1000, 'total': 0.1660180389881134, 'last': 0.12566697597503662, 'assignment_nll': 0.12566697597503662, 'nll_pos': 0.14381876587867737, 'nll_neg': 0.10751518607139587, 'num_matchable': 49.96875, 'num_unmatchable': 66.96875, 'confidence': 0.03369034826755524, 'row_norm': 0.21235255897045135}
line 813in train.py doing validation
/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)
[08/10/2024 03:01:04 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_030104.pkl
[08/10/2024 03:01:04 gluefactory INFO] [Validation] {match_recall 9.324E-01, match_precision 8.170E-01, accuracy 9.056E-01, average_precision 7.649E-01, loss/total 5.297E-01, loss/last 5.297E-01, loss/assignment_nll 5.297E-01, loss/nll_pos 6.078E-01, loss/nll_neg 4.516E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.500E-01}
[08/10/2024 03:01:36 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_030136.pkl
[08/10/2024 03:01:36 gluefactory INFO] [Validation] {match_recall 9.324E-01, match_precision 8.170E-01, accuracy 9.056E-01, average_precision 7.649E-01, loss/total 5.297E-01, loss/last 5.297E-01, loss/assignment_nll 5.297E-01, loss/nll_pos 6.078E-01, loss/nll_neg 4.516E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.500E-01}
[08/10/2024 03:02:11 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_030211.pkl
[08/10/2024 03:02:11 gluefactory INFO] [Validation] {match_recall 9.324E-01, match_precision 8.170E-01, accuracy 9.056E-01, average_precision 7.649E-01, loss/total 5.297E-01, loss/last 5.297E-01, loss/assignment_nll 5.297E-01, loss/nll_pos 6.078E-01, loss/nll_neg 4.516E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.500E-01}
[08/10/2024 03:03:22 gluefactory INFO] VALIDATION Intermediate DataFrame saved to: /homes/tp4618/Documents/bitbucket/SuperGlueThesis/external/glue-factory/outputs/training/NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain/validation_NCCPsp+lg_08-08-distributedMEGA-grayscale-32-pretrain_20240810_030322.pkl
[08/10/2024 03:03:22 gluefactory INFO] [Validation] {match_recall 9.324E-01, match_precision 8.170E-01, accuracy 9.056E-01, average_precision 7.649E-01, loss/total 5.297E-01, loss/last 5.297E-01, loss/assignment_nll 5.297E-01, loss/nll_pos 6.078E-01, loss/nll_neg 4.516E-01, loss/num_matchable 2.006E+02, loss/num_unmatchable 2.620E+02, loss/row_norm 8.500E-01}
[08/10/2024 03:06:01 gluefactory.utils.experiments INFO] Saving checkpoint checkpoint_12_60000.tar
Data logged to validation: {'epoch': 12, 'iteration': 1000, 'match_recall': 0.9323529763088825, 'match_precision': 0.8169778387305628, 'accuracy': 0.9055915462015398, 'average_precision': 0.7649499703782776, 'loss/total': 0.5297263394041759, 'loss/last': 0.5297263394041759, 'loss/assignment_nll': 0.5297263394041759, 'loss/nll_pos': 0.607824414033923, 'loss/nll_neg': 0.4516282620537987, 'loss/num_matchable': 200.56829268292682, 'loss/num_unmatchable': 261.95670731707315, 'loss/row_norm': 0.8499980403986542}
comparing to see if it hte best experiment 875 train.py