Training in progress, step 10
Browse files- model.safetensors +1 -1
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- wandb/run-20241127_184106-b3av6kjn/files/config.yaml +653 -0
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- wandb/run-20241127_184106-b3av6kjn/files/wandb-summary.json +1 -0
- wandb/run-20241127_184106-b3av6kjn/logs/debug-core.log +7 -0
- wandb/run-20241127_184106-b3av6kjn/logs/debug-internal.log +17 -0
- wandb/run-20241127_184106-b3av6kjn/logs/debug.log +13 -0
- wandb/run-20241127_184106-b3av6kjn/run-b3av6kjn.wandb +0 -0
- wandb/run-20241127_184914-lig8s4o3/files/output.log +8 -0
- wandb/run-20241127_184914-lig8s4o3/files/requirements.txt +791 -0
- wandb/run-20241127_184914-lig8s4o3/files/wandb-metadata.json +37 -0
- wandb/run-20241127_184914-lig8s4o3/logs/debug-core.log +7 -0
- wandb/run-20241127_184914-lig8s4o3/logs/debug-internal.log +16 -0
- wandb/run-20241127_184914-lig8s4o3/logs/debug.log +42 -0
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config: {'batch_size': 4, 'learning_rate': 0.0003, 'num_epochs': 10}
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2024-11-27 18:49:18,647 INFO MainThread:2090 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, 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2024-11-27 18:49:18,653 INFO MainThread:2090 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7f507463aad0>>
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2024-11-27 18:49:18,653 INFO MainThread:2090 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
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wandb/run-20241127_184106-b3av6kjn/files/output.log
CHANGED
@@ -6,3 +6,10 @@
|
|
6 |
self.scaler = torch.cuda.amp.GradScaler(**kwargs)
|
7 |
max_steps is given, it will override any value given in num_train_epochs
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8 |
[34m[1mwandb[0m: [33mWARNING[0m The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
|
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|
6 |
self.scaler = torch.cuda.amp.GradScaler(**kwargs)
|
7 |
max_steps is given, it will override any value given in num_train_epochs
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8 |
[34m[1mwandb[0m: [33mWARNING[0m The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
|
9 |
+
/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1568: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
|
10 |
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warnings.warn(
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11 |
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/tmp/ipykernel_1986/2368586458.py:28: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
|
12 |
+
trainer = Trainer(
|
13 |
+
/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py:494: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
|
14 |
+
self.scaler = torch.cuda.amp.GradScaler(**kwargs)
|
15 |
+
max_steps is given, it will override any value given in num_train_epochs
|
wandb/run-20241127_184106-b3av6kjn/files/wandb-summary.json
ADDED
@@ -0,0 +1 @@
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1 |
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wandb/run-20241127_184106-b3av6kjn/logs/debug-core.log
CHANGED
@@ -5,3 +5,10 @@
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|
5 |
{"time":"2024-11-27T18:41:06.874677222Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:41:07.005615036Z","level":"INFO","msg":"handleInformInit: received","streamId":"b3av6kjn","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:41:07.108964635Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"b3av6kjn","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:41:06.874677222Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:41:07.005615036Z","level":"INFO","msg":"handleInformInit: received","streamId":"b3av6kjn","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:41:07.108964635Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"b3av6kjn","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:46:59.940406578Z","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:46:59.94059889Z","level":"INFO","msg":"connection: Close: initiating connection closure","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:46:59.941846038Z","level":"INFO","msg":"connection: Close: connection successfully closed","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:46:59.940634315Z","level":"INFO","msg":"server is shutting down"}
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{"time":"2024-11-27T18:47:00.514632054Z","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:47:00.514671793Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"127.0.0.1:42940"}
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{"time":"2024-11-27T18:47:00.514696726Z","level":"INFO","msg":"server is closed"}
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wandb/run-20241127_184106-b3av6kjn/logs/debug-internal.log
CHANGED
@@ -15,3 +15,20 @@
|
|
15 |
{"time":"2024-11-27T18:41:10.596026715Z","level":"INFO","msg":"Pausing system monitor"}
|
16 |
{"time":"2024-11-27T18:41:10.864229971Z","level":"INFO","msg":"Resuming system monitor"}
|
17 |
{"time":"2024-11-27T18:46:20.059842369Z","level":"INFO","msg":"Pausing system monitor"}
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|
15 |
{"time":"2024-11-27T18:41:10.596026715Z","level":"INFO","msg":"Pausing system monitor"}
|
16 |
{"time":"2024-11-27T18:41:10.864229971Z","level":"INFO","msg":"Resuming system monitor"}
|
17 |
{"time":"2024-11-27T18:46:20.059842369Z","level":"INFO","msg":"Pausing system monitor"}
|
18 |
+
{"time":"2024-11-27T18:46:25.045944442Z","level":"INFO","msg":"Resuming system monitor"}
|
19 |
+
{"time":"2024-11-27T18:46:25.048772709Z","level":"INFO","msg":"Pausing system monitor"}
|
20 |
+
{"time":"2024-11-27T18:46:25.369840673Z","level":"INFO","msg":"Resuming system monitor"}
|
21 |
+
{"time":"2024-11-27T18:46:25.551999838Z","level":"INFO","msg":"Pausing system monitor"}
|
22 |
+
{"time":"2024-11-27T18:46:25.956088136Z","level":"INFO","msg":"Resuming system monitor"}
|
23 |
+
{"time":"2024-11-27T18:46:28.327308539Z","level":"INFO","msg":"Pausing system monitor"}
|
24 |
+
{"time":"2024-11-27T18:46:59.940516874Z","level":"INFO","msg":"stream: closing","id":"b3av6kjn"}
|
25 |
+
{"time":"2024-11-27T18:46:59.940566248Z","level":"INFO","msg":"Stopping system monitor"}
|
26 |
+
{"time":"2024-11-27T18:46:59.941409519Z","level":"INFO","msg":"Stopped system monitor"}
|
27 |
+
{"time":"2024-11-27T18:47:00.163412552Z","level":"WARN","msg":"No job ingredients found, not creating job artifact"}
|
28 |
+
{"time":"2024-11-27T18:47:00.163440799Z","level":"WARN","msg":"No source type found, not creating job artifact"}
|
29 |
+
{"time":"2024-11-27T18:47:00.163450516Z","level":"INFO","msg":"sender: sendDefer: no job artifact to save"}
|
30 |
+
{"time":"2024-11-27T18:47:00.404989002Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
31 |
+
{"time":"2024-11-27T18:47:00.51432732Z","level":"INFO","msg":"handler: closed","stream_id":"b3av6kjn"}
|
32 |
+
{"time":"2024-11-27T18:47:00.514390088Z","level":"INFO","msg":"sender: closed","stream_id":"b3av6kjn"}
|
33 |
+
{"time":"2024-11-27T18:47:00.514385813Z","level":"INFO","msg":"writer: Close: closed","stream_id":"b3av6kjn"}
|
34 |
+
{"time":"2024-11-27T18:47:00.514498408Z","level":"INFO","msg":"stream: closed","id":"b3av6kjn"}
|
wandb/run-20241127_184106-b3av6kjn/logs/debug.log
CHANGED
@@ -42,3 +42,16 @@ config: {'batch_size': 4, 'learning_rate': 0.0003, 'num_epochs': 10}
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|
42 |
2024-11-27 18:41:11,258 INFO MainThread:1986 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
|
43 |
2024-11-27 18:46:20,059 INFO MainThread:1986 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
44 |
2024-11-27 18:46:20,059 INFO MainThread:1986 [wandb_init.py:_pause_backend():444] pausing backend
|
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42 |
2024-11-27 18:41:11,258 INFO MainThread:1986 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
|
43 |
2024-11-27 18:46:20,059 INFO MainThread:1986 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
44 |
2024-11-27 18:46:20,059 INFO MainThread:1986 [wandb_init.py:_pause_backend():444] pausing backend
|
45 |
+
2024-11-27 18:46:25,045 INFO MainThread:1986 [wandb_init.py:_resume_backend():449] resuming backend
|
46 |
+
2024-11-27 18:46:25,048 INFO MainThread:1986 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
47 |
+
2024-11-27 18:46:25,048 INFO MainThread:1986 [wandb_init.py:_pause_backend():444] pausing backend
|
48 |
+
2024-11-27 18:46:25,369 INFO MainThread:1986 [wandb_init.py:_resume_backend():449] resuming backend
|
49 |
+
2024-11-27 18:46:25,551 INFO MainThread:1986 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
50 |
+
2024-11-27 18:46:25,551 INFO MainThread:1986 [wandb_init.py:_pause_backend():444] pausing backend
|
51 |
+
2024-11-27 18:46:25,955 INFO MainThread:1986 [wandb_init.py:_resume_backend():449] resuming backend
|
52 |
+
2024-11-27 18:46:26,472 INFO MainThread:1986 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': None, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': False, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 250, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './runs/Nov27_18-46-25_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
|
53 |
+
2024-11-27 18:46:26,477 INFO MainThread:1986 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7caab878e680>>
|
54 |
+
2024-11-27 18:46:26,478 INFO MainThread:1986 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
|
55 |
+
2024-11-27 18:46:28,326 INFO MainThread:1986 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
56 |
+
2024-11-27 18:46:28,326 INFO MainThread:1986 [wandb_init.py:_pause_backend():444] pausing backend
|
57 |
+
2024-11-27 18:46:59,941 WARNING MsgRouterThr:1986 [router.py:message_loop():75] message_loop has been closed
|
wandb/run-20241127_184106-b3av6kjn/run-b3av6kjn.wandb
CHANGED
Binary files a/wandb/run-20241127_184106-b3av6kjn/run-b3av6kjn.wandb and b/wandb/run-20241127_184106-b3av6kjn/run-b3av6kjn.wandb differ
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|
wandb/run-20241127_184914-lig8s4o3/files/output.log
ADDED
@@ -0,0 +1,8 @@
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1 |
+
/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1568: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
|
2 |
+
warnings.warn(
|
3 |
+
/tmp/ipykernel_2090/2368586458.py:28: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
|
4 |
+
trainer = Trainer(
|
5 |
+
/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py:494: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
|
6 |
+
self.scaler = torch.cuda.amp.GradScaler(**kwargs)
|
7 |
+
max_steps is given, it will override any value given in num_train_epochs
|
8 |
+
[34m[1mwandb[0m: [33mWARNING[0m The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
|
wandb/run-20241127_184914-lig8s4o3/files/requirements.txt
ADDED
@@ -0,0 +1,791 @@
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|
|
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|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
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|
1 |
+
brotlipy==0.7.0
|
2 |
+
PySocks==1.7.1
|
3 |
+
conda-content-trust==0+unknown
|
4 |
+
six==1.16.0
|
5 |
+
ruamel-yaml-conda==0.15.100
|
6 |
+
evaluate==0.4.3
|
7 |
+
wandb==0.18.7
|
8 |
+
simsimd==6.2.1
|
9 |
+
transformers==4.46.3
|
10 |
+
datasets==3.1.0
|
11 |
+
timm==1.0.11
|
12 |
+
torchmetrics==1.6.0
|
13 |
+
pycocotools==2.0.8
|
14 |
+
stringzilla==3.10.10
|
15 |
+
matplotlib==3.9.2
|
16 |
+
albumentations==1.4.21
|
17 |
+
albucore==0.0.20
|
18 |
+
jupyter-lsp==1.5.1
|
19 |
+
packaging==21.3
|
20 |
+
jupyter_server==2.12.5
|
21 |
+
Wand==0.6.13
|
22 |
+
pytesseract==0.3.13
|
23 |
+
pypdf==5.0.1
|
24 |
+
pdf2image==1.17.0
|
25 |
+
kaggle-environments==1.14.15
|
26 |
+
safetensors==0.4.5
|
27 |
+
py-cpuinfo==9.0.0
|
28 |
+
qgrid==1.3.1
|
29 |
+
woodwork==0.31.0
|
30 |
+
gcsfs==2024.6.1
|
31 |
+
google-auth-httplib2==0.2.0
|
32 |
+
onnx==1.17.0
|
33 |
+
pytorch-ignite==0.5.1
|
34 |
+
MarkupSafe==2.1.5
|
35 |
+
sentry-sdk==2.15.0
|
36 |
+
torchinfo==1.8.0
|
37 |
+
ndindex==1.9.2
|
38 |
+
learntools==0.3.4
|
39 |
+
s3fs==2024.6.1
|
40 |
+
eval_type_backport==0.2.0
|
41 |
+
aiobotocore==2.15.1
|
42 |
+
featuretools==1.31.0
|
43 |
+
plotly-express==0.4.1
|
44 |
+
aiohttp==3.9.5
|
45 |
+
easyocr==1.7.2
|
46 |
+
slicer==0.0.7
|
47 |
+
pyemd==1.0.0
|
48 |
+
tsfresh==0.20.3
|
49 |
+
vec_noise==1.1.4
|
50 |
+
pandasql==0.7.3
|
51 |
+
setproctitle==1.3.3
|
52 |
+
multiprocess==0.70.16
|
53 |
+
opencv-python-headless==4.10.0.84
|
54 |
+
gymnasium==0.29.0
|
55 |
+
openpyxl==3.1.5
|
56 |
+
cesium==0.12.3
|
57 |
+
shap==0.44.1
|
58 |
+
watchdog==5.0.3
|
59 |
+
google-api-python-client==2.147.0
|
60 |
+
ghapi==1.0.6
|
61 |
+
jieba==0.42.1
|
62 |
+
alembic==1.13.3
|
63 |
+
docker-pycreds==0.4.0
|
64 |
+
scipy==1.14.1
|
65 |
+
blinker==1.8.2
|
66 |
+
nbdev==2.3.31
|
67 |
+
bqplot==0.12.43
|
68 |
+
pydub==0.25.1
|
69 |
+
python-bidi==0.6.0
|
70 |
+
pycryptodome==3.20.0
|
71 |
+
tables==3.10.1
|
72 |
+
ninja==1.11.1.1
|
73 |
+
tokenizers==0.20.0
|
74 |
+
pydegensac==0.1.2
|
75 |
+
pyclipper==1.3.0.post5
|
76 |
+
blosc2==2.7.1
|
77 |
+
PyArabic==0.6.15
|
78 |
+
fastai==2.7.17
|
79 |
+
gym-notices==0.0.8
|
80 |
+
itsdangerous==2.2.0
|
81 |
+
numpy==1.26.4
|
82 |
+
Werkzeug==3.0.4
|
83 |
+
traittypes==0.2.1
|
84 |
+
optuna==4.0.0
|
85 |
+
Pympler==1.1
|
86 |
+
scikit-learn==1.2.2
|
87 |
+
numba==0.60.0
|
88 |
+
pytorch-lightning==2.4.0
|
89 |
+
colorlog==6.8.2
|
90 |
+
gym==0.26.2
|
91 |
+
execnb==0.1.6
|
92 |
+
llvmlite==0.43.0
|
93 |
+
llvmlite==0.43.0
|
94 |
+
earthengine-api==1.1.2
|
95 |
+
pettingzoo==1.24.0
|
96 |
+
segment_anything==1.0
|
97 |
+
aioitertools==0.12.0
|
98 |
+
rgf-python==3.12.0
|
99 |
+
Flask==3.0.3
|
100 |
+
stable-baselines3==2.1.0
|
101 |
+
lightning-utilities==0.11.7
|
102 |
+
huggingface-hub==0.25.1
|
103 |
+
et-xmlfile==1.1.0
|
104 |
+
accelerate==0.34.2
|
105 |
+
Shapely==1.8.5.post1
|
106 |
+
shapely==2.0.6
|
107 |
+
Shimmy==1.3.0
|
108 |
+
stumpy==1.13.0
|
109 |
+
Rtree==1.3.0
|
110 |
+
fsspec==2024.6.1
|
111 |
+
fsspec==2024.9.0
|
112 |
+
fastcore==1.7.10
|
113 |
+
fastdownload==0.0.7
|
114 |
+
gatspy==0.3
|
115 |
+
botocore==1.35.23
|
116 |
+
dill==0.3.8
|
117 |
+
google-cloud-bigquery==2.34.4
|
118 |
+
google-cloud-videointelligence==2.13.5
|
119 |
+
google-api-core==2.11.1
|
120 |
+
google-api-core==2.20.0
|
121 |
+
google-cloud-aiplatform==0.6.0a1
|
122 |
+
google-cloud-monitoring==2.21.0
|
123 |
+
google-auth==2.30.0
|
124 |
+
google-cloud-automl==1.0.1
|
125 |
+
google-cloud-storage==1.44.0
|
126 |
+
googleapis-common-protos==1.63.1
|
127 |
+
google-cloud-translate==3.12.1
|
128 |
+
google-cloud-core==2.4.1
|
129 |
+
google-generativeai==0.8.2
|
130 |
+
google-cloud-vision==2.8.0
|
131 |
+
google-cloud-datastore==2.20.1
|
132 |
+
google-cloud-artifact-registry==1.11.3
|
133 |
+
google-cloud-language==2.14.0
|
134 |
+
en-core-web-sm==3.7.1
|
135 |
+
en-core-web-lg==3.7.1
|
136 |
+
docstring-to-markdown==0.15
|
137 |
+
jupyterlab-lsp==5.1.0
|
138 |
+
traceml==1.0.8
|
139 |
+
qtconsole==5.6.0
|
140 |
+
ipywidgets==7.7.1
|
141 |
+
pytoolconfig==1.3.1
|
142 |
+
rope==1.13.0
|
143 |
+
async-lru==2.0.4
|
144 |
+
datatile==1.0.3
|
145 |
+
pydocstyle==6.3.0
|
146 |
+
QtPy==2.4.1
|
147 |
+
isort==5.13.2
|
148 |
+
tomlkit==0.13.2
|
149 |
+
olefile==0.47
|
150 |
+
mccabe==0.7.0
|
151 |
+
pylint==3.3.1
|
152 |
+
jupyter-console==6.6.3
|
153 |
+
astroid==3.3.4
|
154 |
+
yapf==0.40.2
|
155 |
+
jupyterlab==4.2.5
|
156 |
+
flake8==7.1.1
|
157 |
+
whatthepatch==1.0.6
|
158 |
+
pyflakes==3.2.0
|
159 |
+
pandas-summary==0.2.0
|
160 |
+
nbconvert==6.4.5
|
161 |
+
testpath==0.6.0
|
162 |
+
nbclient==0.5.13
|
163 |
+
python-lsp-server==1.12.0
|
164 |
+
kornia==0.7.3
|
165 |
+
snowballstemmer==2.2.0
|
166 |
+
python-lsp-jsonrpc==1.1.2
|
167 |
+
autopep8==2.0.4
|
168 |
+
pycodestyle==2.12.1
|
169 |
+
isoweek==1.3.3
|
170 |
+
widgetsnbextension==3.6.9
|
171 |
+
kornia_rs==0.1.5
|
172 |
+
mistune==0.8.4
|
173 |
+
openslide-python==1.3.1
|
174 |
+
html5lib==1.1
|
175 |
+
ppft==1.7.6.9
|
176 |
+
pathos==0.3.3
|
177 |
+
pox==0.3.5
|
178 |
+
pandas-datareader==0.10.0
|
179 |
+
category-encoders==2.6.4
|
180 |
+
mlcrate==0.2.0
|
181 |
+
Janome==0.5.0
|
182 |
+
annoy==1.17.3
|
183 |
+
yellowbrick==1.5
|
184 |
+
emoji==2.13.2
|
185 |
+
librosa==0.10.2.post1
|
186 |
+
soxr==0.5.0.post1
|
187 |
+
memory-profiler==0.61.0
|
188 |
+
sentencepiece==0.2.0
|
189 |
+
audioread==3.0.1
|
190 |
+
cufflinks==0.17.3
|
191 |
+
soundfile==0.12.1
|
192 |
+
lime==0.2.0.1
|
193 |
+
colorlover==0.3.0
|
194 |
+
CVXcanon==0.1.2
|
195 |
+
sklearn-pandas==2.2.0
|
196 |
+
scikit-multilearn==0.2.0
|
197 |
+
path==17.0.0
|
198 |
+
odfpy==1.4.1
|
199 |
+
mpld3==0.5.10
|
200 |
+
kaggle==1.6.17
|
201 |
+
narwhals==1.9.0
|
202 |
+
fury==0.11.0
|
203 |
+
xarray-einstats==0.8.0
|
204 |
+
scikit-surprise==1.1.4
|
205 |
+
ydata-profiling==4.10.0
|
206 |
+
panel==1.5.1
|
207 |
+
plotnine==0.13.6
|
208 |
+
py4j==0.10.9.7
|
209 |
+
fuzzywuzzy==0.18.0
|
210 |
+
fastprogress==1.0.3
|
211 |
+
update-checker==0.18.0
|
212 |
+
missingno==0.5.2
|
213 |
+
catboost==1.2.7
|
214 |
+
pyexcel-io==0.6.6
|
215 |
+
stopit==1.1.2
|
216 |
+
arviz==0.20.0
|
217 |
+
branca==0.8.0
|
218 |
+
mizani==0.11.4
|
219 |
+
nltk==3.2.4
|
220 |
+
semver==3.0.2
|
221 |
+
SimpleITK==2.4.0
|
222 |
+
TPOT==0.12.1
|
223 |
+
nibabel==5.2.1
|
224 |
+
folium==0.17.0
|
225 |
+
gpxpy==1.6.2
|
226 |
+
bayesian-optimization==1.5.1
|
227 |
+
hyperopt==0.2.7
|
228 |
+
python-louvain==0.16
|
229 |
+
orderly-set==5.2.2
|
230 |
+
typing-inspect==0.9.0
|
231 |
+
ecos==2.0.14
|
232 |
+
lxml==5.3.0
|
233 |
+
trx-python==0.3
|
234 |
+
iniconfig==2.0.0
|
235 |
+
leven==1.0.4
|
236 |
+
path.py==12.5.0
|
237 |
+
pymc3==3.11.4
|
238 |
+
wavio==0.0.9
|
239 |
+
lml==0.1.0
|
240 |
+
deap==1.4.1
|
241 |
+
marshmallow==3.22.0
|
242 |
+
pygltflib==1.16.2
|
243 |
+
numexpr==2.10.1
|
244 |
+
pyLDAvis==3.4.1
|
245 |
+
python-slugify==8.0.4
|
246 |
+
pydantic==2.9.2
|
247 |
+
langid==1.1.6
|
248 |
+
setuptools-scm==8.1.0
|
249 |
+
geojson==3.1.0
|
250 |
+
scikit-plot==0.3.7
|
251 |
+
holidays==0.57
|
252 |
+
nose==1.3.7
|
253 |
+
pytest==8.3.3
|
254 |
+
google-ai-generativelanguage==0.6.10
|
255 |
+
text-unidecode==1.3
|
256 |
+
Theano-PyMC==1.1.2
|
257 |
+
dipy==1.9.0
|
258 |
+
h5netcdf==1.3.0
|
259 |
+
funcy==2.0
|
260 |
+
holoviews==1.19.1
|
261 |
+
stanio==0.5.1
|
262 |
+
squarify==0.4.4
|
263 |
+
mlxtend==0.23.1
|
264 |
+
future==1.0.0
|
265 |
+
dataclasses-json==0.6.7
|
266 |
+
prophet==1.1.5
|
267 |
+
imgaug==0.4.0
|
268 |
+
nilearn==0.10.4
|
269 |
+
deepdiff==8.0.1
|
270 |
+
eli5==0.13.0
|
271 |
+
pyviz_comms==3.0.3
|
272 |
+
pydicom==3.0.1
|
273 |
+
mypy-extensions==1.0.0
|
274 |
+
haversine==2.8.1
|
275 |
+
sphinx-rtd-theme==0.2.4
|
276 |
+
altair==5.4.1
|
277 |
+
cmdstanpy==1.2.4
|
278 |
+
pyexcel-ods==0.6.0
|
279 |
+
preprocessing==0.1.13
|
280 |
+
matplotlib-venn==1.1.1
|
281 |
+
pyaml==24.9.0
|
282 |
+
scikit-optimize==0.10.2
|
283 |
+
vtk==9.3.1
|
284 |
+
xvfbwrapper==0.2.9
|
285 |
+
urwid_readline==0.15.1
|
286 |
+
scikit-learn-intelex==2024.7.0
|
287 |
+
Boruta==0.4.3
|
288 |
+
pybind11==2.13.6
|
289 |
+
line_profiler==4.1.3
|
290 |
+
datashader==0.16.3
|
291 |
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fasttext==0.9.3
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292 |
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s3transfer==0.6.2
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293 |
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param==2.1.1
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294 |
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pudb==2024.1.2
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295 |
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jmespath==1.0.1
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296 |
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xarray==2024.9.0
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297 |
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colorcet==3.1.0
|
298 |
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urwid==2.6.15
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299 |
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boto3==1.26.100
|
300 |
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imbalanced-learn==0.12.3
|
301 |
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daal4py==2024.7.0
|
302 |
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daal==2024.7.0
|
303 |
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libpysal==4.9.2
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304 |
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pyct==0.5.0
|
305 |
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tbb==2021.13.1
|
306 |
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gensim==4.3.3
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307 |
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textblob==0.18.0.post0
|
308 |
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xgboost==2.0.3
|
309 |
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opencv-python==4.10.0.84
|
310 |
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Theano==1.0.5
|
311 |
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hep-ml==0.7.2
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312 |
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opencv-contrib-python==4.10.0.84
|
313 |
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kagglehub==0.3.1
|
314 |
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keras-core==0.1.7
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315 |
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keras-nlp==0.15.1
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316 |
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tensorflow_decision_forests==1.9.1
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317 |
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wurlitzer==3.1.1
|
318 |
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tensorflow-text==2.16.1
|
319 |
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ydf==0.8.0
|
320 |
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keras-cv==0.9.0
|
321 |
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h2o==3.46.0.5
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322 |
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polars==1.9.0
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323 |
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pooch==1.8.2
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324 |
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igraph==0.11.6
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325 |
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optax==0.2.2
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326 |
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orbax-checkpoint==0.6.4
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327 |
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flax==0.8.4
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328 |
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chex==0.1.86
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329 |
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tensorstore==0.1.66
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330 |
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dask-expr==1.1.15
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331 |
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python-dateutil==2.9.0.post0
|
332 |
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geographiclib==2.0
|
333 |
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PyUpSet==0.1.1.post7
|
334 |
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pandas==2.2.3
|
335 |
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pandas==2.2.2
|
336 |
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cloudpickle==3.0.0
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337 |
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ipympl==0.7.0
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338 |
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PyYAML==6.0.2
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339 |
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texttable==1.7.0
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340 |
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geopy==2.4.1
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341 |
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dask==2024.9.1
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342 |
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mne==1.8.0
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343 |
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pynvrtc==9.2
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344 |
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pycuda==2024.1.2
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345 |
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pytools==2024.1.14
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346 |
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Mako==1.3.5
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347 |
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jaxlib==0.4.26.dev20240620
|
348 |
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jax==0.4.26
|
349 |
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lightgbm==4.2.0
|
350 |
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torchaudio==2.4.0
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351 |
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torch==2.4.0
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352 |
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mpmath==1.3.0
|
353 |
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sympy==1.13.3
|
354 |
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torchvision==0.19.0
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355 |
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pynvml==11.4.1
|
356 |
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annotated-types==0.7.0
|
357 |
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srsly==2.4.8
|
358 |
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catalogue==2.0.10
|
359 |
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partd==1.4.2
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360 |
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langcodes==3.4.1
|
361 |
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preshed==3.0.9
|
362 |
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pytz==2024.2
|
363 |
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pytz==2024.1
|
364 |
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pynvjitlink-cu12==0.3.0
|
365 |
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spacy-legacy==3.0.12
|
366 |
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spacy==3.7.6
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367 |
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murmurhash==1.0.10
|
368 |
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thinc==8.2.5
|
369 |
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language_data==1.2.0
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370 |
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blis==0.7.10
|
371 |
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pydantic_core==2.23.4
|
372 |
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grpcio==1.62.2
|
373 |
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grpcio==1.64.1
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374 |
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raft-dask==24.8.1
|
375 |
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msgpack==1.1.0
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376 |
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msgpack==1.0.8
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377 |
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distributed==2024.7.1
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378 |
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wrapt==1.16.0
|
379 |
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pylibraft==24.8.1
|
380 |
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cymem==2.0.8
|
381 |
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nvtx==0.2.10
|
382 |
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spacy-loggers==1.0.5
|
383 |
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wasabi==1.1.2
|
384 |
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pyarrow==16.1.0
|
385 |
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cupy==13.3.0
|
386 |
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zict==3.0.0
|
387 |
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bokeh==3.5.2
|
388 |
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dask-cudf==24.8.3
|
389 |
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treelite==4.3.0
|
390 |
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xyzservices==2024.9.0
|
391 |
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cuml==24.8.0
|
392 |
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shellingham==1.5.4
|
393 |
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proto-plus==1.23.0
|
394 |
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locket==1.0.0
|
395 |
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tzdata==2024.2
|
396 |
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tzdata==2024.1
|
397 |
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typer-slim==0.12.5
|
398 |
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pyarrow-hotfix==0.6
|
399 |
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toolz==0.12.1
|
400 |
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rapids-dask-dependency==24.8.0a0
|
401 |
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rmm==24.8.2
|
402 |
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markdown-it-py==3.0.0
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403 |
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fastrlock==0.8.2
|
404 |
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mdurl==0.1.2
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405 |
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weasel==0.4.1
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406 |
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rich==13.9.1
|
407 |
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rich==13.7.1
|
408 |
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cudf==24.8.3
|
409 |
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confection==0.1.4
|
410 |
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tblib==3.0.0
|
411 |
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joblib==1.4.2
|
412 |
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cuda-python==12.6.0
|
413 |
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typer==0.12.5
|
414 |
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typer==0.12.3
|
415 |
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marisa-trie==1.1.0
|
416 |
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distributed-ucxx==0.39.1
|
417 |
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cloudpathlib==0.19.0
|
418 |
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ucx-py==0.39.2
|
419 |
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cytoolz==0.12.3
|
420 |
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smart_open==7.0.4
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421 |
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click==8.1.7
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422 |
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dask-cuda==24.8.2
|
423 |
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protobuf==4.25.3
|
424 |
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protobuf==3.20.3
|
425 |
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ucxx==0.39.1
|
426 |
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sortedcontainers==2.4.0
|
427 |
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lz4==4.3.3
|
428 |
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pyparsing==3.1.4
|
429 |
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pyparsing==3.1.2
|
430 |
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zstandard==0.23.0
|
431 |
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unicodedata2==15.1.0
|
432 |
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fonttools==4.54.1
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433 |
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fonttools==4.53.0
|
434 |
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pyshp==2.3.1
|
435 |
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pillow==10.4.0
|
436 |
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pillow==10.3.0
|
437 |
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cycler==0.12.1
|
438 |
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conda==24.9.0
|
439 |
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certifi==2024.8.30
|
440 |
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pyproj==3.7.0
|
441 |
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pyproj==3.6.1
|
442 |
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libmambapy==1.5.10
|
443 |
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Cartopy==0.23.0
|
444 |
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contourpy==1.3.0
|
445 |
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contourpy==1.2.1
|
446 |
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munkres==1.1.4
|
447 |
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kiwisolver==1.4.7
|
448 |
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kiwisolver==1.4.5
|
449 |
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mamba==1.5.10
|
450 |
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conda-libmamba-solver==23.12.0
|
451 |
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graphviz==0.20.3
|
452 |
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pycparser==2.22
|
453 |
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nbdime==3.2.0
|
454 |
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astunparse==1.6.3
|
455 |
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fastapi-cli==0.0.4
|
456 |
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jsonschema-specifications==2023.12.1
|
457 |
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pandocfilters==1.5.0
|
458 |
+
opentelemetry-exporter-otlp==1.25.0
|
459 |
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libclang==18.1.1
|
460 |
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h11==0.14.0
|
461 |
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grpc-google-iam-v1==0.12.7
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462 |
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rpds-py==0.18.1
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463 |
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jupyterlab_pygments==0.3.0
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464 |
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tensorflow-hub==0.16.1
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465 |
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cryptography==42.0.8
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466 |
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requests-oauthlib==2.0.0
|
467 |
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pydata-google-auth==1.8.2
|
468 |
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overrides==7.7.0
|
469 |
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ipython-genutils==0.2.0
|
470 |
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y-py==0.6.2
|
471 |
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opentelemetry-proto==1.25.0
|
472 |
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greenlet==3.0.3
|
473 |
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nvidia-ml-py==11.495.46
|
474 |
+
tensorflow==2.16.1
|
475 |
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PyJWT==2.8.0
|
476 |
+
time-machine==2.14.1
|
477 |
+
Cython==3.0.10
|
478 |
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tensorflow-probability==0.24.0
|
479 |
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click-plugins==1.1.1
|
480 |
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google-cloud-pubsub==2.21.3
|
481 |
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jupyter_core==5.7.2
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482 |
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webcolors==24.6.0
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483 |
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jupyterlab_server==2.27.2
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484 |
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grpcio-status==1.48.0
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485 |
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grpcio-status==1.48.2
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486 |
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fqdn==1.5.1
|
487 |
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jeepney==0.8.0
|
488 |
+
google-cloud-recommendations-ai==0.7.1
|
489 |
+
httptools==0.6.1
|
490 |
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ipython-sql==0.5.0
|
491 |
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toml==0.10.2
|
492 |
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ipykernel==6.29.4
|
493 |
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tensorboardX==2.6.2.2
|
494 |
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objsize==0.6.1
|
495 |
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patsy==0.5.6
|
496 |
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immutabledict==4.2.0
|
497 |
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Jinja2==3.1.4
|
498 |
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requests-toolbelt==0.10.1
|
499 |
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statsmodels==0.14.2
|
500 |
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tenacity==8.3.0
|
501 |
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platformdirs==3.11.0
|
502 |
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platformdirs==4.2.2
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503 |
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google-cloud-iam==2.15.0
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504 |
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typeguard==4.3.0
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505 |
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jupyter_server_terminals==0.5.3
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506 |
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httpcore==1.0.5
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507 |
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ipython==8.21.0
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508 |
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ipython==8.25.0
|
509 |
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google-cloud-resource-manager==1.12.3
|
510 |
+
tensorflow-estimator==2.15.0
|
511 |
+
idna==3.7
|
512 |
+
pandas-profiling==3.6.6
|
513 |
+
tensorflow-cloud==0.1.16
|
514 |
+
distlib==0.3.8
|
515 |
+
lazy_loader==0.4
|
516 |
+
termcolor==2.4.0
|
517 |
+
tensorflow-datasets==4.9.6
|
518 |
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importlib_resources==6.4.0
|
519 |
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opentelemetry-exporter-otlp-proto-grpc==1.25.0
|
520 |
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jupyter-ydoc==0.2.5
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521 |
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aiofiles==22.1.0
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522 |
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wordcloud==1.9.3
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523 |
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opencensus==0.11.4
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524 |
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jupyterlab_git==0.44.0
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525 |
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truststore==0.8.0
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526 |
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linkify-it-py==2.0.3
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527 |
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isoduration==20.11.0
|
528 |
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google-cloud-bigquery-connection==1.15.3
|
529 |
+
setuptools==70.0.0
|
530 |
+
opentelemetry-semantic-conventions==0.46b0
|
531 |
+
cffi==1.16.0
|
532 |
+
pure-eval==0.2.2
|
533 |
+
webencodings==0.5.1
|
534 |
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orjson==3.10.4
|
535 |
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wheel==0.43.0
|
536 |
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multidict==6.0.5
|
537 |
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starlette==0.37.2
|
538 |
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ml-dtypes==0.3.2
|
539 |
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Deprecated==1.2.14
|
540 |
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ImageHash==4.3.1
|
541 |
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parso==0.8.4
|
542 |
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psutil==5.9.3
|
543 |
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psutil==5.9.8
|
544 |
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stack-data==0.6.2
|
545 |
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stack-data==0.6.3
|
546 |
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virtualenv==20.21.0
|
547 |
+
entrypoints==0.4
|
548 |
+
opentelemetry-api==1.25.0
|
549 |
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GitPython==3.1.43
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550 |
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oauthlib==3.2.2
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551 |
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jupyter_server_fileid==0.9.2
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552 |
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smmap==5.0.1
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553 |
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tensorflow-serving-api==2.16.1
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554 |
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kernels-mixer==0.0.13
|
555 |
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jedi==0.19.1
|
556 |
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argon2-cffi-bindings==21.2.0
|
557 |
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namex==0.0.8
|
558 |
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textual==0.67.1
|
559 |
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h5py==3.11.0
|
560 |
+
pip==24.0
|
561 |
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argon2-cffi==23.1.0
|
562 |
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attrs==23.2.0
|
563 |
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uri-template==1.3.0
|
564 |
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multimethod==1.11.2
|
565 |
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zipp==3.19.2
|
566 |
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menuinst==2.1.1
|
567 |
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pydot==1.4.2
|
568 |
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defusedxml==0.7.1
|
569 |
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decorator==5.1.1
|
570 |
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fastjsonschema==2.19.1
|
571 |
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asttokens==2.4.1
|
572 |
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uvloop==0.19.0
|
573 |
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Markdown==3.6
|
574 |
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google-pasta==0.2.0
|
575 |
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tensorboard_plugin_profile==2.15.1
|
576 |
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parsy==2.1
|
577 |
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google-cloud-jupyter-config==0.0.10
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578 |
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absl-py==1.4.0
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579 |
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prometheus_client==0.20.0
|
580 |
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opt-einsum==3.3.0
|
581 |
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charset-normalizer==3.3.2
|
582 |
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kfp-server-api==2.0.5
|
583 |
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ray-cpp==2.24.0
|
584 |
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kfp-pipeline-spec==0.2.2
|
585 |
+
appdirs==1.4.4
|
586 |
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google-resumable-media==2.7.1
|
587 |
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pluggy==1.5.0
|
588 |
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fiona==1.9.6
|
589 |
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simpervisor==1.0.0
|
590 |
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pkgutil_resolve_name==1.3.10
|
591 |
+
sqlparse==0.5.0
|
592 |
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filelock==3.15.1
|
593 |
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papermill==2.6.0
|
594 |
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blessed==1.20.0
|
595 |
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executing==2.0.1
|
596 |
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watchfiles==0.22.0
|
597 |
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colorful==0.5.6
|
598 |
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wcwidth==0.2.13
|
599 |
+
async-timeout==4.0.3
|
600 |
+
debugpy==1.8.1
|
601 |
+
pexpect==4.9.0
|
602 |
+
ptyprocess==0.7.0
|
603 |
+
google-cloud-bigtable==1.7.3
|
604 |
+
keras==3.3.3
|
605 |
+
archspec==0.2.3
|
606 |
+
nbformat==5.10.4
|
607 |
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pins==0.8.6
|
608 |
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gast==0.5.4
|
609 |
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opencensus-context==0.1.3
|
610 |
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nest-asyncio==1.6.0
|
611 |
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ypy-websocket==0.8.4
|
612 |
+
notebook==6.5.7
|
613 |
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exceptiongroup==1.2.0
|
614 |
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ansicolors==1.1.8
|
615 |
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multipledispatch==1.0.0
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616 |
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hdfs==2.7.3
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617 |
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jupyterlab_widgets==3.0.11
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618 |
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Babel==2.15.0
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619 |
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simple_parsing==0.1.5
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620 |
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dacite==1.8.1
|
621 |
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cligj==0.7.2
|
622 |
+
fastavro==1.9.4
|
623 |
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tifffile==2024.5.22
|
624 |
+
python-json-logger==2.0.7
|
625 |
+
cachetools==5.3.3
|
626 |
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cachetools==4.2.4
|
627 |
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tornado==6.4.1
|
628 |
+
tangled-up-in-unicode==0.2.0
|
629 |
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anyio==4.4.0
|
630 |
+
docstring_parser==0.16
|
631 |
+
pickleshare==0.7.5
|
632 |
+
sqlglot==19.9.0
|
633 |
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bigframes==0.22.0
|
634 |
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bleach==6.1.0
|
635 |
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keyrings.google-artifactregistry-auth==1.1.2
|
636 |
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tinycss2==1.3.0
|
637 |
+
cached-property==1.5.2
|
638 |
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pymongo==3.13.0
|
639 |
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atpublic==4.1.0
|
640 |
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cloud-tpu-client==0.10
|
641 |
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tensorflow-metadata==0.14.0
|
642 |
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urllib3==1.26.18
|
643 |
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urllib3==2.2.1
|
644 |
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pyu2f==0.1.5
|
645 |
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mdit-py-plugins==0.4.1
|
646 |
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terminado==0.18.1
|
647 |
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Brotli==1.1.0
|
648 |
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grpc-interceptor==0.15.4
|
649 |
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uvicorn==0.30.1
|
650 |
+
tensorflow-io-gcs-filesystem==0.37.0
|
651 |
+
nb_conda==2.2.1
|
652 |
+
httplib2==0.21.0
|
653 |
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gpustat==1.0.0
|
654 |
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yarl==1.9.4
|
655 |
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importlib-metadata==7.0.0
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656 |
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httpx==0.27.0
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657 |
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distro==1.9.0
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658 |
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PyWavelets==1.6.0
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659 |
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jupyter_server_ydoc==0.8.0
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660 |
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pyasn1==0.6.0
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661 |
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phik==0.12.4
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662 |
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cloud-tpu-profiler==2.4.0
|
663 |
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email_validator==2.1.1
|
664 |
+
keras-tuner==1.4.7
|
665 |
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array_record==0.5.1
|
666 |
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fasteners==0.19
|
667 |
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colorama==0.4.6
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668 |
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matplotlib-inline==0.1.7
|
669 |
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nb_conda_kernels==2.5.1
|
670 |
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beautifulsoup4==4.12.3
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671 |
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apache-beam==2.46.0
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672 |
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tabulate==0.9.0
|
673 |
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tomli==2.0.1
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674 |
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notebook_shim==0.2.4
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675 |
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kfp==2.5.0
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676 |
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jupyter-http-over-ws==0.0.8
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677 |
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jsonpatch==1.33
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678 |
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threadpoolctl==3.5.0
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679 |
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ujson==5.10.0
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680 |
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tensorboard==2.16.2
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681 |
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aiosqlite==0.20.0
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682 |
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jaraco.classes==3.4.0
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683 |
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soupsieve==2.5
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684 |
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visions==0.7.5
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685 |
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scikit-image==0.23.2
|
686 |
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gitdb==4.0.11
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687 |
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pendulum==3.0.0
|
688 |
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memray==1.12.0
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689 |
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notebook_executor==0.2
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690 |
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google-crc32c==1.5.0
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691 |
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frozendict==2.4.4
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692 |
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geopandas==0.14.4
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693 |
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jax-jumpy==1.0.0
|
694 |
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optree==0.11.0
|
695 |
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pyzmq==26.0.3
|
696 |
+
opentelemetry-exporter-otlp-proto-common==1.25.0
|
697 |
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uc-micro-py==1.0.3
|
698 |
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xxhash==3.4.1
|
699 |
+
pyasn1_modules==0.4.0
|
700 |
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uritemplate==3.0.1
|
701 |
+
more-itertools==10.3.0
|
702 |
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prettytable==3.10.0
|
703 |
+
promise==2.3
|
704 |
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pycosat==0.6.6
|
705 |
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google-auth-oauthlib==1.2.0
|
706 |
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traitlets==5.14.3
|
707 |
+
conda_package_streaming==0.10.0
|
708 |
+
ruamel.yaml==0.18.6
|
709 |
+
google-cloud-spanner==3.47.0
|
710 |
+
rfc3986-validator==0.1.1
|
711 |
+
Send2Trash==1.8.3
|
712 |
+
prompt_toolkit==3.0.47
|
713 |
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sniffio==1.3.1
|
714 |
+
keyring==25.2.1
|
715 |
+
referencing==0.35.1
|
716 |
+
google-cloud-dlp==3.18.0
|
717 |
+
conda-package-handling==2.3.0
|
718 |
+
websockets==12.0
|
719 |
+
flatbuffers==24.3.25
|
720 |
+
jupyter-server-mathjax==0.2.6
|
721 |
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comm==0.2.2
|
722 |
+
opentelemetry-exporter-otlp-proto-http==1.25.0
|
723 |
+
websocket-client==1.8.0
|
724 |
+
requests==2.32.3
|
725 |
+
retrying==1.3.3
|
726 |
+
retrying==1.3.4
|
727 |
+
google-cloud-pubsublite==1.10.0
|
728 |
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explainable-ai-sdk==1.3.3
|
729 |
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jsonpointer==2.4
|
730 |
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typing_extensions==4.12.2
|
731 |
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backports.tarfile==1.2.0
|
732 |
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dnspython==2.6.1
|
733 |
+
Farama-Notifications==0.0.4
|
734 |
+
opentelemetry-sdk==1.25.0
|
735 |
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docopt==0.6.2
|
736 |
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ibis-framework==7.1.0
|
737 |
+
jaraco.functools==4.0.1
|
738 |
+
gviz-api==1.10.0
|
739 |
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frozenlist==1.4.1
|
740 |
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google-apitools==0.5.31
|
741 |
+
python-multipart==0.0.9
|
742 |
+
SQLAlchemy==2.0.30
|
743 |
+
kubernetes==26.1.0
|
744 |
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witwidget==1.8.1
|
745 |
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docker==7.1.0
|
746 |
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bidict==0.23.1
|
747 |
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jupyter-events==0.10.0
|
748 |
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beatrix_jupyterlab==2024.66.154055
|
749 |
+
imageio==2.34.1
|
750 |
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arrow==1.3.0
|
751 |
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nbclassic==1.1.0
|
752 |
+
tqdm==4.66.4
|
753 |
+
networkx==3.3
|
754 |
+
python-dotenv==1.0.1
|
755 |
+
tf_keras==2.16.0
|
756 |
+
oauth2client==4.1.3
|
757 |
+
kt-legacy==1.0.5
|
758 |
+
fastapi==0.111.0
|
759 |
+
db-dtypes==1.2.0
|
760 |
+
SecretStorage==3.3.3
|
761 |
+
seaborn==0.12.2
|
762 |
+
rfc3339-validator==0.1.4
|
763 |
+
tensorflow-io==0.37.0
|
764 |
+
typing-utils==0.1.0
|
765 |
+
jupytext==1.16.2
|
766 |
+
jsonschema==4.22.0
|
767 |
+
humanize==4.9.0
|
768 |
+
google-cloud-functions==1.16.3
|
769 |
+
jaraco.context==5.3.0
|
770 |
+
htmlmin==0.1.12
|
771 |
+
tensorflow-transform==0.14.0
|
772 |
+
jupyter_server_proxy==4.2.0
|
773 |
+
crcmod==1.7
|
774 |
+
boltons==24.0.0
|
775 |
+
ruamel.yaml.clib==0.2.8
|
776 |
+
jupyter_client==7.4.9
|
777 |
+
json5==0.9.25
|
778 |
+
tensorboard-data-server==0.7.2
|
779 |
+
aiosignal==1.3.1
|
780 |
+
types-python-dateutil==2.9.0.20240316
|
781 |
+
etils==1.7.0
|
782 |
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plotly==5.22.0
|
783 |
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regex==2024.5.15
|
784 |
+
dataproc_jupyter_plugin==0.1.79
|
785 |
+
pyOpenSSL==24.0.0
|
786 |
+
py-spy==0.3.14
|
787 |
+
dm-tree==0.1.8
|
788 |
+
ray==2.24.0
|
789 |
+
Pygments==2.18.0
|
790 |
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rsa==4.9
|
791 |
+
bq_helper==0.4.1
|
wandb/run-20241127_184914-lig8s4o3/files/wandb-metadata.json
ADDED
@@ -0,0 +1,37 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"os": "Linux-6.6.56+-x86_64-with-glibc2.35",
|
3 |
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|
4 |
+
"startedAt": "2024-11-27T18:49:14.421527Z",
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5 |
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"program": "kaggle.ipynb",
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6 |
+
"email": "[email protected]",
|
7 |
+
"root": "/kaggle/working",
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8 |
+
"host": "f5b68522d064",
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9 |
+
"username": "root",
|
10 |
+
"executable": "/opt/conda/bin/python3.10",
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11 |
+
"cpu_count": 2,
|
12 |
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"cpu_count_logical": 4,
|
13 |
+
"gpu": "Tesla P100-PCIE-16GB",
|
14 |
+
"gpu_count": 1,
|
15 |
+
"disk": {
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16 |
+
"/": {
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17 |
+
"total": "8656922775552",
|
18 |
+
"used": "6372786524160"
|
19 |
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}
|
20 |
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},
|
21 |
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"memory": {
|
22 |
+
"total": "33662345216"
|
23 |
+
},
|
24 |
+
"cpu": {
|
25 |
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"count": 2,
|
26 |
+
"countLogical": 4
|
27 |
+
},
|
28 |
+
"gpu_nvidia": [
|
29 |
+
{
|
30 |
+
"name": "Tesla P100-PCIE-16GB",
|
31 |
+
"memoryTotal": "17179869184",
|
32 |
+
"cudaCores": 3584,
|
33 |
+
"architecture": "Pascal"
|
34 |
+
}
|
35 |
+
],
|
36 |
+
"cudaVersion": "12.6"
|
37 |
+
}
|
wandb/run-20241127_184914-lig8s4o3/logs/debug-core.log
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"time":"2024-11-27T18:49:14.085017787Z","level":"INFO","msg":"started logging, with flags","port-filename":"/tmp/tmpz8pp5m4x/port-2090.txt","pid":2090,"debug":false,"disable-analytics":false}
|
2 |
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{"time":"2024-11-27T18:49:14.085061409Z","level":"INFO","msg":"FeatureState","shutdownOnParentExitEnabled":false}
|
3 |
+
{"time":"2024-11-27T18:49:14.090284062Z","level":"INFO","msg":"Will exit if parent process dies.","ppid":2090}
|
4 |
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{"time":"2024-11-27T18:49:14.090224801Z","level":"INFO","msg":"server is running","addr":{"IP":"127.0.0.1","Port":33757,"Zone":""}}
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5 |
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{"time":"2024-11-27T18:49:14.277241846Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:50102"}
|
6 |
+
{"time":"2024-11-27T18:49:14.4236435Z","level":"INFO","msg":"handleInformInit: received","streamId":"lig8s4o3","id":"127.0.0.1:50102"}
|
7 |
+
{"time":"2024-11-27T18:49:14.52717192Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"lig8s4o3","id":"127.0.0.1:50102"}
|
wandb/run-20241127_184914-lig8s4o3/logs/debug-internal.log
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"time":"2024-11-27T18:49:14.423820992Z","level":"INFO","msg":"using version","core version":"0.18.7"}
|
2 |
+
{"time":"2024-11-27T18:49:14.423845654Z","level":"INFO","msg":"created symlink","path":"/kaggle/working/wandb/run-20241127_184914-lig8s4o3/logs/debug-core.log"}
|
3 |
+
{"time":"2024-11-27T18:49:14.527132732Z","level":"INFO","msg":"created new stream","id":"lig8s4o3"}
|
4 |
+
{"time":"2024-11-27T18:49:14.527165937Z","level":"INFO","msg":"stream: started","id":"lig8s4o3"}
|
5 |
+
{"time":"2024-11-27T18:49:14.527203552Z","level":"INFO","msg":"writer: Do: started","stream_id":"lig8s4o3"}
|
6 |
+
{"time":"2024-11-27T18:49:14.527212524Z","level":"INFO","msg":"handler: started","stream_id":"lig8s4o3"}
|
7 |
+
{"time":"2024-11-27T18:49:14.527250309Z","level":"INFO","msg":"sender: started","stream_id":"lig8s4o3"}
|
8 |
+
{"time":"2024-11-27T18:49:16.008654965Z","level":"INFO","msg":"Starting system monitor"}
|
9 |
+
{"time":"2024-11-27T18:49:16.637945267Z","level":"INFO","msg":"Pausing system monitor"}
|
10 |
+
{"time":"2024-11-27T18:49:16.638015431Z","level":"INFO","msg":"Resuming system monitor"}
|
11 |
+
{"time":"2024-11-27T18:49:16.638022617Z","level":"INFO","msg":"Pausing system monitor"}
|
12 |
+
{"time":"2024-11-27T18:49:16.638027426Z","level":"INFO","msg":"Resuming system monitor"}
|
13 |
+
{"time":"2024-11-27T18:49:16.638031951Z","level":"INFO","msg":"Pausing system monitor"}
|
14 |
+
{"time":"2024-11-27T18:49:16.641816205Z","level":"INFO","msg":"Resuming system monitor"}
|
15 |
+
{"time":"2024-11-27T18:49:17.996060396Z","level":"INFO","msg":"Pausing system monitor"}
|
16 |
+
{"time":"2024-11-27T18:49:18.259742288Z","level":"INFO","msg":"Resuming system monitor"}
|
wandb/run-20241127_184914-lig8s4o3/logs/debug.log
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Current SDK version is 0.18.7
|
2 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Configure stats pid to 2090
|
3 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Loading settings from /root/.config/wandb/settings
|
4 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Loading settings from /kaggle/working/wandb/settings
|
5 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Loading settings from environment variables: {}
|
6 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': None, '_disable_service': None}
|
7 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
8 |
+
2024-11-27 18:49:14,418 INFO MainThread:2090 [wandb_setup.py:_flush():79] Applying login settings: {}
|
9 |
+
2024-11-27 18:49:14,419 INFO MainThread:2090 [wandb_init.py:_log_setup():533] Logging user logs to /kaggle/working/wandb/run-20241127_184914-lig8s4o3/logs/debug.log
|
10 |
+
2024-11-27 18:49:14,419 INFO MainThread:2090 [wandb_init.py:_log_setup():534] Logging internal logs to /kaggle/working/wandb/run-20241127_184914-lig8s4o3/logs/debug-internal.log
|
11 |
+
2024-11-27 18:49:14,419 INFO MainThread:2090 [wandb_init.py:_jupyter_setup():479] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7f50757af550>
|
12 |
+
2024-11-27 18:49:14,419 INFO MainThread:2090 [wandb_init.py:init():619] calling init triggers
|
13 |
+
2024-11-27 18:49:14,419 INFO MainThread:2090 [wandb_init.py:init():626] wandb.init called with sweep_config: {}
|
14 |
+
config: {'batch_size': 4, 'learning_rate': 0.0003, 'num_epochs': 10}
|
15 |
+
2024-11-27 18:49:14,419 INFO MainThread:2090 [wandb_init.py:init():669] starting backend
|
16 |
+
2024-11-27 18:49:14,419 INFO MainThread:2090 [wandb_init.py:init():673] sending inform_init request
|
17 |
+
2024-11-27 18:49:14,420 INFO MainThread:2090 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
18 |
+
2024-11-27 18:49:14,421 INFO MainThread:2090 [wandb_init.py:init():686] backend started and connected
|
19 |
+
2024-11-27 18:49:14,433 INFO MainThread:2090 [wandb_run.py:_label_probe_notebook():1339] probe notebook
|
20 |
+
2024-11-27 18:49:15,672 INFO MainThread:2090 [wandb_init.py:init():781] updated telemetry
|
21 |
+
2024-11-27 18:49:15,675 INFO MainThread:2090 [wandb_init.py:init():814] communicating run to backend with 90.0 second timeout
|
22 |
+
2024-11-27 18:49:16,004 INFO MainThread:2090 [wandb_init.py:init():867] starting run threads in backend
|
23 |
+
2024-11-27 18:49:16,599 INFO MainThread:2090 [wandb_run.py:_console_start():2456] atexit reg
|
24 |
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2024-11-27 18:49:16,599 INFO MainThread:2090 [wandb_run.py:_redirect():2305] redirect: wrap_raw
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25 |
+
2024-11-27 18:49:16,599 INFO MainThread:2090 [wandb_run.py:_redirect():2370] Wrapping output streams.
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26 |
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2024-11-27 18:49:16,600 INFO MainThread:2090 [wandb_run.py:_redirect():2395] Redirects installed.
|
27 |
+
2024-11-27 18:49:16,604 INFO MainThread:2090 [wandb_init.py:init():911] run started, returning control to user process
|
28 |
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2024-11-27 18:49:16,605 INFO MainThread:2090 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
29 |
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2024-11-27 18:49:16,605 INFO MainThread:2090 [wandb_init.py:_pause_backend():444] pausing backend
|
30 |
+
2024-11-27 18:49:16,615 INFO MainThread:2090 [wandb_init.py:_resume_backend():449] resuming backend
|
31 |
+
2024-11-27 18:49:16,617 INFO MainThread:2090 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
32 |
+
2024-11-27 18:49:16,617 INFO MainThread:2090 [wandb_init.py:_pause_backend():444] pausing backend
|
33 |
+
2024-11-27 18:49:16,623 INFO MainThread:2090 [wandb_init.py:_resume_backend():449] resuming backend
|
34 |
+
2024-11-27 18:49:16,635 INFO MainThread:2090 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
35 |
+
2024-11-27 18:49:16,635 INFO MainThread:2090 [wandb_init.py:_pause_backend():444] pausing backend
|
36 |
+
2024-11-27 18:49:16,641 INFO MainThread:2090 [wandb_init.py:_resume_backend():449] resuming backend
|
37 |
+
2024-11-27 18:49:17,995 INFO MainThread:2090 [jupyter.py:save_ipynb():387] not saving jupyter notebook
|
38 |
+
2024-11-27 18:49:17,995 INFO MainThread:2090 [wandb_init.py:_pause_backend():444] pausing backend
|
39 |
+
2024-11-27 18:49:18,259 INFO MainThread:2090 [wandb_init.py:_resume_backend():449] resuming backend
|
40 |
+
2024-11-27 18:49:18,647 INFO MainThread:2090 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': None, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': True, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 400, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './runs/Nov27_18-49-17_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
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2024-11-27 18:49:18,653 INFO MainThread:2090 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7f507463aad0>>
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2024-11-27 18:49:18,653 INFO MainThread:2090 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
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wandb/run-20241127_184914-lig8s4o3/run-lig8s4o3.wandb
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