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gist-ailab · Nov 11, 2024 · cd4622a · cd4622a
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commit cd4622a
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diff --git a/.gitignore b/.gitignore
@@ -13,4 +13,6 @@ results_polyformer_b
 weights
 
 *.pt
-*.png
+*.png
+*.pyc
+*/__pycache__/*
diff --git a/__pycache__/trainer.cpython-37.pyc b/__pycache__/trainer.cpython-37.pyc
diff --git a/bert/__pycache__/activations.cpython-37.pyc b/bert/__pycache__/activations.cpython-37.pyc
diff --git a/bert/__pycache__/configuration_bert.cpython-37.pyc b/bert/__pycache__/configuration_bert.cpython-37.pyc
diff --git a/bert/__pycache__/configuration_utils.cpython-37.pyc b/bert/__pycache__/configuration_utils.cpython-37.pyc
diff --git a/bert/__pycache__/file_utils.cpython-37.pyc b/bert/__pycache__/file_utils.cpython-37.pyc
diff --git a/bert/__pycache__/generation_utils.cpython-37.pyc b/bert/__pycache__/generation_utils.cpython-37.pyc
diff --git a/bert/__pycache__/modeling_bert.cpython-37.pyc b/bert/__pycache__/modeling_bert.cpython-37.pyc
diff --git a/bert/__pycache__/modeling_utils.cpython-37.pyc b/bert/__pycache__/modeling_utils.cpython-37.pyc
diff --git a/bert/__pycache__/tokenization_bert.cpython-37.pyc b/bert/__pycache__/tokenization_bert.cpython-37.pyc
diff --git a/bert/__pycache__/tokenization_utils.cpython-37.pyc b/bert/__pycache__/tokenization_utils.cpython-37.pyc
diff --git a/bert/__pycache__/tokenization_utils_base.cpython-37.pyc b/bert/__pycache__/tokenization_utils_base.cpython-37.pyc
diff --git a/criterions/__pycache__/__init__.cpython-37.pyc b/criterions/__pycache__/__init__.cpython-37.pyc
diff --git a/criterions/__pycache__/label_smoothed_cross_entropy.cpython-37.pyc b/criterions/__pycache__/label_smoothed_cross_entropy.cpython-37.pyc
diff --git a/data/__pycache__/__init__.cpython-37.pyc b/data/__pycache__/__init__.cpython-37.pyc
diff --git a/data/__pycache__/base_dataset.cpython-37.pyc b/data/__pycache__/base_dataset.cpython-37.pyc
diff --git a/data/__pycache__/data_utils.cpython-37.pyc b/data/__pycache__/data_utils.cpython-37.pyc
diff --git a/data/__pycache__/file_dataset.cpython-37.pyc b/data/__pycache__/file_dataset.cpython-37.pyc
diff --git a/data/__pycache__/poly_utils.cpython-37.pyc b/data/__pycache__/poly_utils.cpython-37.pyc
diff --git a/data/__pycache__/refcoco_dataset.cpython-37.pyc b/data/__pycache__/refcoco_dataset.cpython-37.pyc
diff --git a/data/__pycache__/refcoco_pretrain_dataset.cpython-37.pyc b/data/__pycache__/refcoco_pretrain_dataset.cpython-37.pyc
diff --git a/data/create_aihub_data.py b/data/create_aihub_data.py
@@ -70,8 +70,8 @@
         splits = ['train', 'val']
         splitBy = None
     elif dataset == 'aihub_manufact':
-        # splits = ['val', 'test']
-        splits = ['train', 'val', 'test']
+        splits = ['val', 'test']
+        # splits = ['train', 'val', 'test']
         splitBy = None
 
     save_dir = f'datasets/finetune/{dataset}_bbox_fix'
@@ -91,10 +91,10 @@
         writer = open(file_name, 'w')
         refer = REFER(data_root, dataset, splitBy)
 
-        if dataset == 'aihub_manufact' and split == 'val':
-            ref_ids = refer.getRefIds(split='validation')
-        else:
-            ref_ids = refer.getRefIds(split=split)
+        # if dataset == 'aihub_manufact' and split == 'val':
+        #     ref_ids = refer.getRefIds(split='validation')
+        # else:
+        ref_ids = refer.getRefIds(split=split)
 
         for this_ref_id in tqdm(ref_ids):
             this_img_id = refer.getImgIds(this_ref_id)

diff --git a/data/create_pretraining_aihub_data.py b/data/create_pretraining_aihub_data.py
@@ -7,22 +7,20 @@
 import glob
 
 
-img_path = 'refer/data/aihub_refcoco_format/indoor_80/images'
-# img_path = 'refer/data/aihub_refcoco_format/manufact_80/images'
+# img_path = 'refer/data/aihub_refcoco_format/indoor_80/images'
+img_path = 'refer/data/aihub_refcoco_format/manufact_80/images'
 
 # load annotation files
 # f = open("datasets/annotations/instances.json")
-# f = open("refer/data/aihub_refcoco_format/indoor_80/instances.json")
 f = open("refer/data/aihub_refcoco_format/manufact_80/instances_2.json")
-f = open("refer/data/aihub_refcoco_format/indoor_80/instances_2.json")
-# f = open("refer/data/aihub_refcoco_format/manufact_80/instances.json")
+# f = open("refer/data/aihub_refcoco_format/indoor_80/instances_2.json")
 print("Loading annotation file")
 data = json.load(f)
 f.close()
 
 # Define the directory containing your CSV files
-csv_dir = 'data/aihub_csv_error_csv/indoor'  # Replace with the actual directory path
-# csv_dir = 'data/aihub_csv_error_csv/manufact'  # Replace with the actual directory path
+# csv_dir = 'data/aihub_csv_error_csv/indoor'  # Replace with the actual directory path
+csv_dir = 'data/aihub_csv_error_csv/manufact'  # Replace with the actual directory path
 csv_files = glob.glob(f'{csv_dir}/*.csv')
 
 # Initialize an empty dictionary to store bounding box values from all CSV files
@@ -60,7 +58,7 @@
 print(len(data['annotations']))
 
 # ref_file = 'refer/data/aihub_refcoco_format/indoor_80/refs.p'
-ref_file = 'refer/data/aihub_refcoco_format/manufact_80/refs.p'
+ref_file = 'refer/data/aihub_refcoco_format/manufact_80/refs_2.p'
 ref_ann = pickle.load(open(ref_file, 'rb'))
 print(ref_ann[10])
 print(ref_ann[1])
@@ -190,7 +188,7 @@
 
     # ref_ann_i = next((d for d in ref_ann if d["ref_id"] == str(i)), None)
     # ref_ann_i = ref_ann[i]
-    if ref_ann_i['split'] == 'validation':
+    if ref_ann_i['split'] == 'val':
         # print("val!!")
         pass
     else:
@@ -205,10 +203,35 @@
     height, width = img_dict_i['height'], img_dict_i['width']
 
     try:
-        x, y, w, h = bbox
-        box_string = f'{x},{y},{x + w},{y + h}'
+        fn = img_dict_i['file_name']
+        img_id = fn.split(".")[0].split("_")[-1]
+
+        # Determine the appropriate prefix for file_name_key
+        prefix = fn.split(".")[0].split("_")[0] + "_"
+        file_name_key = f"{prefix}{img_id}"
+        # load box
+        if file_name_key in bbox_dict:
+            print('bbox dict')
+            # Update bbox value based on CSV data
+            x1, y1, x2, y2 = map(int, bbox_dict[file_name_key].split(','))
+            box_string = f'{x1},{y1},{x2},{y2}'
+        else:
+            # prefix = img_dict_i['file_name'].split('_')[0]
+            # print(prefix)
+            # box = refer.getRefBox(this_ref_id)  # x,y,w,h
+            # Fallback to the default logic if not in combined CSV data
+            if prefix == "real_":
+                x, y, w, h = bbox
+                box_string = f'{x},{y},{x + w},{y + h}'
+            elif prefix == "syn_":
+                x1, y1, x2, y2 = bbox
+                box_string = f'{x1},{y1},{x2},{y2}'
+            else:
+                print("Image must be either real or syn")
+                exit()
     except TypeError:
-        print(bbox)
+        # print(bbox)
+        print(ann_i)
         continue
 
     img_name = img_dict_i['file_name']
@@ -222,5 +245,5 @@
 writer.writelines(lines)
 writer.close()
 
-print("train_idx", train_idx)
+# print("train_idx", train_idx)
 print('val_idx', val_idx)
diff --git a/models/__pycache__/__init__.cpython-37.pyc b/models/__pycache__/__init__.cpython-37.pyc
diff --git a/models/polyformer/__pycache__/__init__.cpython-37.pyc b/models/polyformer/__pycache__/__init__.cpython-37.pyc
diff --git a/models/polyformer/__pycache__/polyformer.cpython-37.pyc b/models/polyformer/__pycache__/polyformer.cpython-37.pyc
diff --git a/models/polyformer/__pycache__/swin.cpython-37.pyc b/models/polyformer/__pycache__/swin.cpython-37.pyc
diff --git a/models/polyformer/__pycache__/unify_multihead_attention.cpython-37.pyc b/models/polyformer/__pycache__/unify_multihead_attention.cpython-37.pyc
diff --git a/models/polyformer/__pycache__/unify_transformer.cpython-37.pyc b/models/polyformer/__pycache__/unify_transformer.cpython-37.pyc
diff --git a/models/polyformer/__pycache__/unify_transformer_layer.cpython-37.pyc b/models/polyformer/__pycache__/unify_transformer_layer.cpython-37.pyc
diff --git a/polyformer_module/__pycache__/__init__.cpython-37.pyc b/polyformer_module/__pycache__/__init__.cpython-37.pyc
diff --git a/run_scripts/evaluation/evaluate_polyformer_b_aihub_manufact.sh b/run_scripts/evaluation/evaluate_polyformer_b_aihub_manufact.sh
@@ -17,8 +17,9 @@ model='polyformer_b'
 num_bins=64
 batch_size=16
 
-dataset='aihub_manufact'
-ckpt_path=../finetune/polyformer_b_aihub_manufact_checkpoints/100_5e-5_512/checkpoint_last.pt
+dataset='aihub_manufact_bbox_fix'
+# ckpt_path=../finetune/polyformer_b_aihub_manufact_checkpoints/100_5e-5_512/checkpoint_last.pt
+ckpt_path=../finetune/polyformer_b_aihub_manufact_80_uniq_checkpoints/100_5e-5_512/checkpoint_epoch_55.pt
 # dataset='refcocog'
 # ckpt_path=../../weights/polyformer_b_refcocog.pt
 
@@ -45,5 +46,6 @@ python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_p
     --num-bins=${num_bins} \
     --vis_dir=${vis_dir} \
     --result_dir=${result_dir} \
-    --model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}"
+    --model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"selected_cols\":\"${selected_cols}\"}" \
+    # --vis
 done
diff --git a/run_scripts/finetune/polyformer_b_aihub_manufact_80_bbox_fix_logs/100_5e-5_512.log b/run_scripts/finetune/polyformer_b_aihub_manufact_80_bbox_fix_logs/100_5e-5_512.log
@@ -2332,3 +2332,137 @@ slice_id 0 seek offset 0
 2024-11-08 10:32:42 - train.py[line:297] - INFO: Start iterating over samples
 2024-11-08 10:32:50 - progress_bar.py[line:274] - INFO: epoch 011:      1 / 391 loss=0.001, loss_v1=0, loss_v2=0, nll_loss=2.985, ntokens=16977.9, nsentences=985.6, sample_size=985.6, sample_size_v1=0, sample_size_v2=0, ppl=7.92, wps=347.2, ups=0.02, wpb=16977.9, bsz=985.6, num_updates=3910, lr=4.78723e-05, gnorm=0.008, clip=0, loss_scale=8192, train_wall=29, gb_free=13.3, wall=25183
 2024-11-08 10:33:43 - progress_bar.py[line:274] - INFO: epoch 011:     11 / 391 loss=0.001, loss_v1=0, loss_v2=0, nll_loss=2.874, ntokens=17466.2, nsentences=1024, sample_size=1024, sample_size_v1=0, sample_size_v2=0, ppl=7.33, wps=3300.5, ups=0.19, wpb=17466.2, bsz=1024, num_updates=3920, lr=4.78587e-05, gnorm=0.008, clip=0, loss_scale=8192, train_wall=30, gb_free=13.5, wall=25235
+2024-11-08 10:34:36 - progress_bar.py[line:274] - INFO: epoch 011:     21 / 391 loss=0.001, loss_v1=0, loss_v2=0, nll_loss=2.875, ntokens=17232.2, nsentences=1024, sample_size=1024, sample_size_v1=0, sample_size_v2=0, ppl=7.34, wps=3261.5, ups=0.19, wpb=17232.2, bsz=1024, num_updates=3930, lr=4.78451e-05, gnorm=0.011, clip=0, loss_scale=8192, train_wall=31, gb_free=13.6, wall=25288
+2024-11-08 10:35:31 - progress_bar.py[line:274] - INFO: epoch 011:     31 / 391 loss=0.001, loss_v1=0, loss_v2=0, nll_loss=2.849, ntokens=17421.6, nsentences=1024, sample_size=1024, sample_size_v1=0, sample_size_v2=0, ppl=7.2, wps=3152.5, ups=0.18, wpb=17421.6, bsz=1024, num_updates=3940, lr=4.78315e-05, gnorm=0.01, clip=0, loss_scale=8192, train_wall=49, gb_free=13.1, wall=25344
+2024-11-08 10:36:26 - progress_bar.py[line:274] - INFO: epoch 011:     41 / 391 loss=0.001, loss_v1=0, loss_v2=0, nll_loss=2.854, ntokens=17403.5, nsentences=1024, sample_size=1024, sample_size_v1=0, sample_size_v2=0, ppl=7.23, wps=3160.4, ups=0.18, wpb=17403.5, bsz=1024, num_updates=3950, lr=4.78179e-05, gnorm=0.008, clip=0, loss_scale=8192, train_wall=55, gb_free=13.3, wall=25399
+2024-11-08 10:37:22 - progress_bar.py[line:274] - INFO: epoch 011:     51 / 391 loss=0.001, loss_v1=0, loss_v2=0, nll_loss=2.836, ntokens=17456.1, nsentences=1024, sample_size=1024, sample_size_v1=0, sample_size_v2=0, ppl=7.14, wps=3151.8, ups=0.18, wpb=17456.1, bsz=1024, num_updates=3960, lr=4.78043e-05, gnorm=0.007, clip=0, loss_scale=8192, train_wall=55, gb_free=13.5, wall=25454
+Traceback (most recent call last):
+  File "../../train.py", line 543, in <module>
+    cli_main()
+  File "../../train.py", line 536, in cli_main
+Traceback (most recent call last):
+  File "../../train.py", line 543, in <module>
+    distributed_utils.call_main(cfg, main)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/distributed/utils.py", line 374, in call_main
+    distributed_main(cfg.distributed_training.device_id, main, cfg, kwargs)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/distributed/utils.py", line 348, in distributed_main
+    main(cfg, **kwargs)
+  File "../../train.py", line 190, in main
+    valid_losses, should_stop = train(cfg, trainer, task, epoch_itr)
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/contextlib.py", line 74, in inner
+    cli_main()    
+return func(*args, **kwds)  File "../../train.py", line 536, in cli_main
+
+  File "../../train.py", line 298, in train
+    for i, samples in enumerate(progress):
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/logging/progress_bar.py", line 261, in __iter__
+    distributed_utils.call_main(cfg, main)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/distributed/utils.py", line 374, in call_main
+    for i, obj in enumerate(self.iterable, start=self.n):
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 56, in __next__
+    x = next(self._itr)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 509, in _chunk_iterator
+    distributed_main(cfg.distributed_training.device_id, main, cfg, kwargs)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/distributed/utils.py", line 348, in distributed_main
+        for x in itr:main(cfg, **kwargs)
+
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 56, in __next__
+  File "../../train.py", line 190, in main
+    x = next(self._itr)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 637, in __next__
+    valid_losses, should_stop = train(cfg, trainer, task, epoch_itr)
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/contextlib.py", line 74, in inner
+    return func(*args, **kwds)
+  File "../../train.py", line 298, in train
+    raise item
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 567, in run
+    for i, samples in enumerate(progress):
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/logging/progress_bar.py", line 261, in __iter__
+    for i, obj in enumerate(self.iterable, start=self.n):
+      File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 56, in __next__
+for item in self._source:
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
+    x = next(self._itr)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 509, in _chunk_iterator
+    for x in itr:    
+data = self._next_data()  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 56, in __next__
+
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
+    x = next(self._itr)
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 637, in __next__
+    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
+    raise item
+  File "/home/ubuntu/src/fairseq/fairseq/fairseq/data/iterators.py", line 567, in run
+    data = [self.dataset[idx] for idx in possibly_batched_index]
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
+    data = [self.dataset[idx] for idx in possibly_batched_index]
+  File "/home/ubuntu/workspaces/AIHub-polygon-transformer/data/refcoco_dataset.py", line 82, in __getitem__
+    for item in self._source:
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
+    data = self.dataset[index]
+  File "/home/ubuntu/workspaces/AIHub-polygon-transformer/data/file_dataset.py", line 111, in __getitem__
+    column_l = [dtype(column_l[col_id]) for col_id, dtype in zip(self.selected_col_ids, self.dtypes)]
+  File "/home/ubuntu/workspaces/AIHub-polygon-transformer/data/file_dataset.py", line 111, in <listcomp>
+    column_l = [dtype(column_l[col_id]) for col_id, dtype in zip(self.selected_col_ids, self.dtypes)]
+    data = self._next_data()
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 671, in _next_data
+IndexError: list index out of range
+    data = self._dataset_fetcher.fetch(index)  # may raise StopIteration
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
+    data = [self.dataset[idx] for idx in possibly_batched_index]
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
+    data = [self.dataset[idx] for idx in possibly_batched_index]
+  File "/home/ubuntu/workspaces/AIHub-polygon-transformer/data/refcoco_dataset.py", line 82, in __getitem__
+    data = self.dataset[index]
+  File "/home/ubuntu/workspaces/AIHub-polygon-transformer/data/file_dataset.py", line 111, in __getitem__
+    column_l = [dtype(column_l[col_id]) for col_id, dtype in zip(self.selected_col_ids, self.dtypes)]
+  File "/home/ubuntu/workspaces/AIHub-polygon-transformer/data/file_dataset.py", line 111, in <listcomp>
+    column_l = [dtype(column_l[col_id]) for col_id, dtype in zip(self.selected_col_ids, self.dtypes)]
+IndexError: list index out of range
+WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1721037 closing signal SIGTERM
+WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1721039 closing signal SIGTERM
+WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1721040 closing signal SIGTERM
+WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1721041 closing signal SIGTERM
+WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1721043 closing signal SIGTERM
+WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1721044 closing signal SIGTERM
+ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 1 (pid: 1721038) of binary: /home/ubuntu/anaconda3/envs/polyformer/bin/python3
+Traceback (most recent call last):
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/runpy.py", line 193, in _run_module_as_main
+    "__main__", mod_spec)
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/runpy.py", line 85, in _run_code
+    exec(code, run_globals)
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/distributed/launch.py", line 195, in <module>
+    main()
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/distributed/launch.py", line 191, in main
+    launch(args)
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/distributed/launch.py", line 176, in launch
+    run(args)
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/distributed/run.py", line 756, in run
+    )(*cmd_args)
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+  File "/home/ubuntu/anaconda3/envs/polyformer/lib/python3.7/site-packages/torch/distributed/launcher/api.py", line 248, in launch_agent
+    failures=result.failures,
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+../../train.py FAILED
+------------------------------------------------------------
+Failures:
+[1]:
+  time      : 2024-11-08_10:38:04
+  host      : ip-172-31-11-84.us-west-2.compute.internal
+  rank      : 5 (local_rank: 5)
+  exitcode  : 1 (pid: 1721042)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2024-11-08_10:38:04
+  host      : ip-172-31-11-84.us-west-2.compute.internal
+  rank      : 1 (local_rank: 1)
+  exitcode  : 1 (pid: 1721038)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================
-Original file line number
+Diff line change
@@ Expand Up / @@ -13,4 +13,6 @@ results_polyformer_b @@
     weights
     *.pt
-    *.png
+    *.png
+    *.pyc
+    */__pycache__/*