Narkantak/mistral-7b-Labelled-QnAv2
Browse files- README.md +47 -29
- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
- runs/Apr01_06-53-57_e5cddbcf0d54/events.out.tfevents.1711954441.e5cddbcf0d54.34.0 +3 -0
- training_args.bin +1 -1
- wandb/debug-internal.log +0 -0
- wandb/debug.log +38 -38
- wandb/run-20240401_065413-yzd7dxs3/files/conda-environment.yaml +1070 -0
- wandb/run-20240401_065413-yzd7dxs3/files/config.yaml +724 -0
- wandb/run-20240401_065413-yzd7dxs3/files/output.log +89 -0
- wandb/run-20240401_065413-yzd7dxs3/files/requirements.txt +880 -0
- wandb/run-20240401_065413-yzd7dxs3/files/wandb-metadata.json +66 -0
- wandb/run-20240401_065413-yzd7dxs3/files/wandb-summary.json +1 -0
- wandb/run-20240401_065413-yzd7dxs3/logs/debug-internal.log +0 -0
- wandb/run-20240401_065413-yzd7dxs3/logs/debug.log +40 -0
- wandb/run-20240401_065413-yzd7dxs3/run-yzd7dxs3.wandb +0 -0
README.md
CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
|
21 |
## Model description
|
22 |
|
@@ -44,40 +44,58 @@ The following hyperparameters were used during training:
|
|
44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
- lr_scheduler_type: linear
|
46 |
- lr_scheduler_warmup_steps: 2
|
47 |
-
- num_epochs:
|
48 |
- mixed_precision_training: Native AMP
|
49 |
|
50 |
### Training results
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|
|
54 |
-
| 5.
|
55 |
-
| 2.
|
56 |
-
| 1.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
59 |
-
| 0.
|
60 |
-
| 0.
|
61 |
-
| 0.
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
-
| 0.
|
65 |
-
| 0.
|
66 |
-
| 0.
|
67 |
-
| 0.
|
68 |
-
| 0.
|
69 |
-
| 0.
|
70 |
-
| 0.
|
71 |
-
| 0.
|
72 |
-
| 0.
|
73 |
-
| 0.
|
74 |
-
| 0.
|
75 |
-
| 0.
|
76 |
-
| 0.
|
77 |
-
| 0.
|
78 |
-
| 0.
|
79 |
-
| 0.
|
80 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
81 |
|
82 |
|
83 |
### Framework versions
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.4531
|
20 |
|
21 |
## Model description
|
22 |
|
|
|
44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
- lr_scheduler_type: linear
|
46 |
- lr_scheduler_warmup_steps: 2
|
47 |
+
- num_epochs: 50
|
48 |
- mixed_precision_training: Native AMP
|
49 |
|
50 |
### Training results
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|
|
54 |
+
| 5.1986 | 0.89 | 6 | 3.6826 |
|
55 |
+
| 2.8565 | 1.93 | 13 | 2.2686 |
|
56 |
+
| 1.6562 | 2.96 | 20 | 1.1494 |
|
57 |
+
| 0.919 | 4.0 | 27 | 0.8274 |
|
58 |
+
| 0.8226 | 4.89 | 33 | 0.7219 |
|
59 |
+
| 0.6004 | 5.93 | 40 | 0.6329 |
|
60 |
+
| 0.5166 | 6.96 | 47 | 0.5777 |
|
61 |
+
| 0.4662 | 8.0 | 54 | 0.5476 |
|
62 |
+
| 0.497 | 8.89 | 60 | 0.5241 |
|
63 |
+
| 0.3909 | 9.93 | 67 | 0.5034 |
|
64 |
+
| 0.3628 | 10.96 | 74 | 0.4779 |
|
65 |
+
| 0.3381 | 12.0 | 81 | 0.4718 |
|
66 |
+
| 0.3768 | 12.89 | 87 | 0.4562 |
|
67 |
+
| 0.3121 | 13.93 | 94 | 0.4557 |
|
68 |
+
| 0.3022 | 14.96 | 101 | 0.4528 |
|
69 |
+
| 0.2995 | 16.0 | 108 | 0.4449 |
|
70 |
+
| 0.3423 | 16.89 | 114 | 0.4521 |
|
71 |
+
| 0.2929 | 17.93 | 121 | 0.4319 |
|
72 |
+
| 0.2899 | 18.96 | 128 | 0.4354 |
|
73 |
+
| 0.2873 | 20.0 | 135 | 0.4402 |
|
74 |
+
| 0.3325 | 20.89 | 141 | 0.4465 |
|
75 |
+
| 0.2828 | 21.93 | 148 | 0.4420 |
|
76 |
+
| 0.2813 | 22.96 | 155 | 0.4426 |
|
77 |
+
| 0.2817 | 24.0 | 162 | 0.4408 |
|
78 |
+
| 0.3255 | 24.89 | 168 | 0.4417 |
|
79 |
+
| 0.2793 | 25.93 | 175 | 0.4404 |
|
80 |
+
| 0.2772 | 26.96 | 182 | 0.4385 |
|
81 |
+
| 0.279 | 28.0 | 189 | 0.4409 |
|
82 |
+
| 0.3247 | 28.89 | 195 | 0.4429 |
|
83 |
+
| 0.2775 | 29.93 | 202 | 0.4421 |
|
84 |
+
| 0.2769 | 30.96 | 209 | 0.4409 |
|
85 |
+
| 0.2779 | 32.0 | 216 | 0.4423 |
|
86 |
+
| 0.322 | 32.89 | 222 | 0.4450 |
|
87 |
+
| 0.2767 | 33.93 | 229 | 0.4484 |
|
88 |
+
| 0.2771 | 34.96 | 236 | 0.4455 |
|
89 |
+
| 0.2761 | 36.0 | 243 | 0.4476 |
|
90 |
+
| 0.3212 | 36.89 | 249 | 0.4485 |
|
91 |
+
| 0.2751 | 37.93 | 256 | 0.4503 |
|
92 |
+
| 0.2766 | 38.96 | 263 | 0.4522 |
|
93 |
+
| 0.2768 | 40.0 | 270 | 0.4488 |
|
94 |
+
| 0.321 | 40.89 | 276 | 0.4498 |
|
95 |
+
| 0.2743 | 41.93 | 283 | 0.4518 |
|
96 |
+
| 0.2746 | 42.96 | 290 | 0.4527 |
|
97 |
+
| 0.2751 | 44.0 | 297 | 0.4532 |
|
98 |
+
| 0.2867 | 44.44 | 300 | 0.4531 |
|
99 |
|
100 |
|
101 |
### Framework versions
|
adapter_config.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"alpha_pattern": {},
|
3 |
"auto_mapping": null,
|
4 |
-
"base_model_name_or_path":
|
5 |
"bias": "none",
|
6 |
"fan_in_fan_out": false,
|
7 |
"inference_mode": true,
|
|
|
1 |
{
|
2 |
"alpha_pattern": {},
|
3 |
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": null,
|
5 |
"bias": "none",
|
6 |
"fan_in_fan_out": false,
|
7 |
"inference_mode": true,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f5cf3d53248b547264b821c9dd7dfd8c91324a24627c604948ecd8d54e85171a
|
3 |
+
size 8398144
|
runs/Apr01_06-53-57_e5cddbcf0d54/events.out.tfevents.1711954441.e5cddbcf0d54.34.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f0db05a3a3ac9859bd2abdba7831a1f6fb61bdd4ec529b7d7c75c1866867316b
|
3 |
+
size 27120
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4920
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1275110a846ce806cc22d527c35ea9e1824ff82afe6ebdb4216b869931436b5
|
3 |
size 4920
|
wandb/debug-internal.log
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
wandb/debug.log
CHANGED
@@ -1,40 +1,40 @@
|
|
1 |
-
2024-
|
2 |
-
2024-
|
3 |
-
2024-
|
4 |
-
2024-
|
5 |
-
2024-
|
6 |
-
2024-
|
7 |
-
2024-
|
8 |
-
2024-
|
9 |
-
2024-
|
10 |
-
2024-
|
11 |
-
2024-
|
12 |
-
2024-
|
13 |
-
2024-
|
14 |
config: {}
|
15 |
-
2024-
|
16 |
-
2024-
|
17 |
-
2024-
|
18 |
-
2024-
|
19 |
-
2024-
|
20 |
-
2024-
|
21 |
-
2024-
|
22 |
-
2024-
|
23 |
-
2024-
|
24 |
|
25 |
-
2024-
|
26 |
-
2024-
|
27 |
-
2024-
|
28 |
-
2024-
|
29 |
-
2024-
|
30 |
-
2024-
|
31 |
-
2024-
|
32 |
-
2024-
|
33 |
-
2024-
|
34 |
-
2024-
|
35 |
-
2024-
|
36 |
-
2024-
|
37 |
-
2024-
|
38 |
-
2024-
|
39 |
-
2024-
|
40 |
-
2024-
|
|
|
1 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
|
2 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
|
3 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
4 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
5 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
6 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
7 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
8 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
|
9 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240401_065413-yzd7dxs3/logs/debug.log
|
10 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240401_065413-yzd7dxs3/logs/debug-internal.log
|
11 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x78c2e1a431c0>
|
12 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
|
13 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
14 |
config: {}
|
15 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():616] starting backend
|
16 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():620] setting up manager
|
17 |
+
2024-04-01 06:54:13,063 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
18 |
+
2024-04-01 06:54:13,066 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
|
19 |
+
2024-04-01 06:54:13,078 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
|
20 |
+
2024-04-01 06:54:13,454 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
|
21 |
+
2024-04-01 06:54:13,458 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
|
22 |
+
2024-04-01 06:54:13,586 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
|
23 |
+
2024-04-01 06:54:13,675 INFO MainThread:34 [wandb_run.py:_on_init():2271] got version response upgrade_message: "wandb version 0.16.5 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
|
24 |
|
25 |
+
2024-04-01 06:54:13,675 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
|
26 |
+
2024-04-01 06:54:44,704 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
|
27 |
+
2024-04-01 06:54:44,705 INFO MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
|
28 |
+
2024-04-01 06:54:44,705 INFO MainThread:34 [wandb_run.py:_redirect():2161] Wrapping output streams.
|
29 |
+
2024-04-01 06:54:44,705 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
|
30 |
+
2024-04-01 06:54:44,707 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
|
31 |
+
2024-04-01 06:54:44,713 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'sliding_window': None, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'use_cache': False, 'rope_theta': 1000000.0, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, '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': ['MistralForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TheBloke/Mistral-7B-Instruct-v0.2-GPTQ', 'transformers_version': '4.38.2', 'model_type': 'mistral', 'pretraining_tp': 1, 'quantization_config': {'quant_method': 'QuantizationMethod.GPTQ', 'bits': 4, 'tokenizer': None, 'dataset': None, 'group_size': 128, 'damp_percent': 0.1, 'desc_act': True, 'sym': True, 'true_sequential': True, 'use_cuda_fp16': False, 'model_seqlen': None, 'block_name_to_quantize': None, 'module_name_preceding_first_block': None, 'batch_size': 1, 'pad_token_id': None, 'use_exllama': True, 'max_input_length': None, 'exllama_config': {'version': 'ExllamaVersion.ONE'}, 'cache_block_outputs': True, 'modules_in_block_to_quantize': None}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'epoch', 'prediction_loss_only': False, 'per_device_train_batch_size': 6, 'per_device_eval_batch_size': 6, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 0.0002, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 50, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 2, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr01_06-53-57_e5cddbcf0d54', 'logging_strategy': 'epoch', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'epoch', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': 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': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, '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}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', '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': False, '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, 'fp16_backend': 'auto', '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}
|
32 |
+
2024-04-01 08:30:55,358 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
33 |
+
2024-04-01 08:30:55,358 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
|
34 |
+
2024-04-01 08:52:13,855 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
|
35 |
+
2024-04-01 08:52:13,887 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
36 |
+
2024-04-01 08:52:13,888 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
|
37 |
+
2024-04-01 08:52:43,723 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
|
38 |
+
2024-04-01 08:52:43,725 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
39 |
+
2024-04-01 08:52:43,726 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
|
40 |
+
2024-04-01 08:52:46,758 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
|
wandb/run-20240401_065413-yzd7dxs3/files/conda-environment.yaml
ADDED
@@ -0,0 +1,1070 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
name: base
|
2 |
+
channels:
|
3 |
+
- pytorch
|
4 |
+
- file:///tmp/conda
|
5 |
+
- rapidsai
|
6 |
+
- nvidia
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aiohttp=3.9.1=py310h2372a71_0
|
13 |
+
- aiosignal=1.3.1=pyhd8ed1ab_0
|
14 |
+
- annotated-types=0.6.0=pyhd8ed1ab_0
|
15 |
+
- anyio=4.2.0=pyhd8ed1ab_0
|
16 |
+
- archspec=0.2.2=pyhd8ed1ab_0
|
17 |
+
- argon2-cffi=23.1.0=pyhd8ed1ab_0
|
18 |
+
- argon2-cffi-bindings=21.2.0=py310h2372a71_4
|
19 |
+
- arrow=1.3.0=pyhd8ed1ab_0
|
20 |
+
- arrow-cpp=11.0.0=ha770c72_9_cpu
|
21 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
22 |
+
- async-timeout=4.0.3=pyhd8ed1ab_0
|
23 |
+
- atk-1.0=2.38.0=hd4edc92_1
|
24 |
+
- attrs=23.2.0=pyh71513ae_0
|
25 |
+
- aws-c-auth=0.6.26=h987a71b_2
|
26 |
+
- aws-c-cal=0.5.21=h48707d8_2
|
27 |
+
- aws-c-common=0.8.14=h0b41bf4_0
|
28 |
+
- aws-c-compression=0.2.16=h03acc5a_5
|
29 |
+
- aws-c-event-stream=0.2.20=h00877a2_4
|
30 |
+
- aws-c-http=0.7.6=hf342b9f_0
|
31 |
+
- aws-c-io=0.13.19=h5b20300_3
|
32 |
+
- aws-c-mqtt=0.8.6=hc4349f7_12
|
33 |
+
- aws-c-s3=0.2.7=h909e904_1
|
34 |
+
- aws-c-sdkutils=0.1.9=h03acc5a_0
|
35 |
+
- aws-checksums=0.1.14=h03acc5a_5
|
36 |
+
- aws-crt-cpp=0.19.8=hf7fbfca_12
|
37 |
+
- aws-sdk-cpp=1.10.57=h17c43bd_8
|
38 |
+
- beautifulsoup4=4.12.2=pyha770c72_0
|
39 |
+
- bleach=6.1.0=pyhd8ed1ab_0
|
40 |
+
- boltons=23.1.1=pyhd8ed1ab_0
|
41 |
+
- brotli=1.0.9=h166bdaf_9
|
42 |
+
- brotli-bin=1.0.9=h166bdaf_9
|
43 |
+
- brotli-python=1.0.9=py310hd8f1fbe_9
|
44 |
+
- brotlipy=0.7.0=py310h7f8727e_1002
|
45 |
+
- bzip2=1.0.8=h7b6447c_0
|
46 |
+
- c-ares=1.25.0=hd590300_0
|
47 |
+
- ca-certificates=2024.2.2=hbcca054_0
|
48 |
+
- cached-property=1.5.2=hd8ed1ab_1
|
49 |
+
- cached_property=1.5.2=pyha770c72_1
|
50 |
+
- cairo=1.18.0=h3faef2a_0
|
51 |
+
- cartopy=0.22.0=py310hcc13569_1
|
52 |
+
- catalogue=2.0.10=py310hff52083_0
|
53 |
+
- certifi=2024.2.2=pyhd8ed1ab_0
|
54 |
+
- cffi=1.16.0=py310h2fee648_0
|
55 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
56 |
+
- click=8.1.7=unix_pyh707e725_0
|
57 |
+
- cloudpathlib=0.16.0=pyhd8ed1ab_0
|
58 |
+
- colorama=0.4.6=pyhd8ed1ab_0
|
59 |
+
- comm=0.2.1=pyhd8ed1ab_0
|
60 |
+
- conda=23.7.4=py310hff52083_0
|
61 |
+
- conda-libmamba-solver=23.7.0=pyhd8ed1ab_0
|
62 |
+
- conda-package-handling=2.2.0=pyh38be061_0
|
63 |
+
- conda-package-streaming=0.9.0=pyhd8ed1ab_0
|
64 |
+
- confection=0.1.4=py310h17c5347_0
|
65 |
+
- contourpy=1.2.0=py310hd41b1e2_0
|
66 |
+
- cryptography=41.0.7=py310hb8475ec_1
|
67 |
+
- cuda-cccl=12.4.99=0
|
68 |
+
- cuda-cudart=12.4.99=0
|
69 |
+
- cuda-cudart-dev=12.4.99=0
|
70 |
+
- cuda-nvcc-dev_linux-64=12.1.105=ha770c72_0
|
71 |
+
- cuda-nvcc-impl=12.1.105=hd3aeb46_0
|
72 |
+
- cuda-nvcc-tools=12.1.105=hd3aeb46_0
|
73 |
+
- cuda-nvrtc=12.1.105=hd3aeb46_0
|
74 |
+
- cuda-profiler-api=12.4.99=0
|
75 |
+
- cuda-python=12.4.0=py310h52dc4f0_0
|
76 |
+
- cuda-version=12.1=h1d6eff3_3
|
77 |
+
- cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
78 |
+
- cuml=23.08.00=cuda12_py310_230809_gd7162cdea_0
|
79 |
+
- cupy=13.0.0=py310h7aad9d2_3
|
80 |
+
- cupy-core=13.0.0=py310had4011e_3
|
81 |
+
- curl=8.6.0=hca28451_0
|
82 |
+
- cycler=0.12.1=pyhd8ed1ab_0
|
83 |
+
- cymem=2.0.8=py310hc6cd4ac_1
|
84 |
+
- cython-blis=0.7.10=py310h1f7b6fc_2
|
85 |
+
- cytoolz=0.12.3=py310h2372a71_0
|
86 |
+
- dask-cuda=23.08.00=py310_230809_gefbd6ca_0
|
87 |
+
- dask-cudf=23.08.00=cuda12_py310_230809_g8150d38e08_0
|
88 |
+
- debugpy=1.8.0=py310hc6cd4ac_1
|
89 |
+
- decorator=5.1.1=pyhd8ed1ab_0
|
90 |
+
- defusedxml=0.7.1=pyhd8ed1ab_0
|
91 |
+
- distributed=2023.7.1=pyhd8ed1ab_0
|
92 |
+
- distro=1.9.0=pyhd8ed1ab_0
|
93 |
+
- dlenv-tf-2-15-gpu=1.0.20240111=py310ha20f8e0_0
|
94 |
+
- dlpack=0.5=h9c3ff4c_0
|
95 |
+
- entrypoints=0.4=pyhd8ed1ab_0
|
96 |
+
- exceptiongroup=1.2.0=pyhd8ed1ab_2
|
97 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
98 |
+
- expat=2.6.2=h59595ed_0
|
99 |
+
- fastrlock=0.8.2=py310hc6cd4ac_2
|
100 |
+
- fftw=3.3.10=nompi_hc118613_108
|
101 |
+
- fmt=9.1.0=h924138e_0
|
102 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
103 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
104 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
105 |
+
- font-ttf-ubuntu=0.83=h77eed37_1
|
106 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
107 |
+
- fonts-conda-ecosystem=1=0
|
108 |
+
- fonts-conda-forge=1=0
|
109 |
+
- fqdn=1.5.1=pyhd8ed1ab_0
|
110 |
+
- freetype=2.12.1=h267a509_2
|
111 |
+
- fribidi=1.0.10=h36c2ea0_0
|
112 |
+
- frozenlist=1.4.1=py310h2372a71_0
|
113 |
+
- fsspec=2024.3.0=pyhca7485f_0
|
114 |
+
- gdk-pixbuf=2.42.10=h829c605_5
|
115 |
+
- geos=3.11.1=h27087fc_0
|
116 |
+
- gettext=0.21.1=h27087fc_0
|
117 |
+
- gflags=2.2.2=he1b5a44_1004
|
118 |
+
- ghostscript=10.03.0=h59595ed_0
|
119 |
+
- giflib=5.2.1=h0b41bf4_3
|
120 |
+
- glog=0.6.0=h6f12383_0
|
121 |
+
- gmock=1.14.0=ha770c72_1
|
122 |
+
- gmp=6.3.0=h59595ed_0
|
123 |
+
- google-api-core-grpc=2.11.1=hd8ed1ab_0
|
124 |
+
- google-auth=2.26.1=pyhca7485f_0
|
125 |
+
- google-cloud-core=2.4.1=pyhd8ed1ab_0
|
126 |
+
- google-cloud-datastore=2.19.0=pyhd8ed1ab_0
|
127 |
+
- googleapis-common-protos=1.62.0=pyhd8ed1ab_0
|
128 |
+
- graphite2=1.3.13=h58526e2_1001
|
129 |
+
- graphviz=9.0.0=h78e8752_1
|
130 |
+
- grpc-cpp=1.51.1=h27aab58_3
|
131 |
+
- gtest=1.14.0=h00ab1b0_1
|
132 |
+
- gtk2=2.24.33=h280cfa0_4
|
133 |
+
- gts=0.7.6=h977cf35_4
|
134 |
+
- harfbuzz=8.3.0=h3d44ed6_0
|
135 |
+
- icu=73.2=h59595ed_0
|
136 |
+
- idna=3.6=pyhd8ed1ab_0
|
137 |
+
- imagemagick=7.1.1_29=pl5321hb90aeea_0
|
138 |
+
- importlib_metadata=7.0.1=hd8ed1ab_0
|
139 |
+
- importlib_resources=6.1.1=pyhd8ed1ab_0
|
140 |
+
- intel-openmp=2023.1.0=hdb19cb5_46306
|
141 |
+
- ipykernel=6.28.0=pyhd33586a_0
|
142 |
+
- ipython=8.20.0=pyh707e725_0
|
143 |
+
- ipython_genutils=0.2.0=py_1
|
144 |
+
- isoduration=20.11.0=pyhd8ed1ab_0
|
145 |
+
- jbig=2.1=h7f98852_2003
|
146 |
+
- jedi=0.19.1=pyhd8ed1ab_0
|
147 |
+
- jinja2=3.1.2=pyhd8ed1ab_1
|
148 |
+
- joblib=1.3.2=pyhd8ed1ab_0
|
149 |
+
- jsonpatch=1.33=pyhd8ed1ab_0
|
150 |
+
- jsonpointer=2.4=py310hff52083_3
|
151 |
+
- jsonschema=4.20.0=pyhd8ed1ab_0
|
152 |
+
- jsonschema-specifications=2023.12.1=pyhd8ed1ab_0
|
153 |
+
- jsonschema-with-format-nongpl=4.20.0=pyhd8ed1ab_0
|
154 |
+
- jupyter_client=8.6.0=pyhd8ed1ab_0
|
155 |
+
- jupyter_core=5.7.1=py310hff52083_0
|
156 |
+
- jupyter_events=0.9.0=pyhd8ed1ab_0
|
157 |
+
- jupyter_server_terminals=0.5.1=pyhd8ed1ab_0
|
158 |
+
- jupyterlab_pygments=0.3.0=pyhd8ed1ab_0
|
159 |
+
- keyutils=1.6.1=h166bdaf_0
|
160 |
+
- kiwisolver=1.4.5=py310hd41b1e2_1
|
161 |
+
- krb5=1.21.2=h659d440_0
|
162 |
+
- langcodes=3.3.0=pyhd8ed1ab_0
|
163 |
+
- lcms2=2.16=hb7c19ff_0
|
164 |
+
- ld_impl_linux-64=2.40=h41732ed_0
|
165 |
+
- lerc=4.0.0=h27087fc_0
|
166 |
+
- libabseil=20230125.0=cxx17_hcb278e6_1
|
167 |
+
- libarchive=3.6.2=h039dbb9_1
|
168 |
+
- libarrow=11.0.0=h33598ff_9_cpu
|
169 |
+
- libblas=3.9.0=21_linux64_openblas
|
170 |
+
- libbrotlicommon=1.0.9=h166bdaf_9
|
171 |
+
- libbrotlidec=1.0.9=h166bdaf_9
|
172 |
+
- libbrotlienc=1.0.9=h166bdaf_9
|
173 |
+
- libcblas=3.9.0=21_linux64_openblas
|
174 |
+
- libcrc32c=1.1.2=h9c3ff4c_0
|
175 |
+
- libcublas=12.1.3.1=hd3aeb46_0
|
176 |
+
- libcublas-dev=12.1.3.1=0
|
177 |
+
- libcudf=23.08.00=cuda12_230809_g8150d38e08_0
|
178 |
+
- libcufft=11.0.2.54=hd3aeb46_0
|
179 |
+
- libcufile=1.9.0.20=0
|
180 |
+
- libcufile-dev=1.9.0.20=0
|
181 |
+
- libcuml=23.08.00=cuda12_230809_gd7162cdea_0
|
182 |
+
- libcumlprims=23.08.00=cuda12_230809_g71c0a86_0
|
183 |
+
- libcurand=10.3.2.106=hd3aeb46_0
|
184 |
+
- libcurand-dev=10.3.2.106=0
|
185 |
+
- libcurl=8.6.0=hca28451_0
|
186 |
+
- libcusolver=11.4.5.107=hd3aeb46_0
|
187 |
+
- libcusolver-dev=11.4.5.107=0
|
188 |
+
- libcusparse=12.1.0.106=hd3aeb46_0
|
189 |
+
- libcusparse-dev=12.1.0.106=0
|
190 |
+
- libdeflate=1.19=hd590300_0
|
191 |
+
- libedit=3.1.20191231=he28a2e2_2
|
192 |
+
- libev=4.33=hd590300_2
|
193 |
+
- libevent=2.1.10=h28343ad_4
|
194 |
+
- libexpat=2.6.2=h59595ed_0
|
195 |
+
- libffi=3.4.2=h7f98852_5
|
196 |
+
- libgcc-ng=13.2.0=h807b86a_3
|
197 |
+
- libgd=2.3.3=h119a65a_9
|
198 |
+
- libgfortran-ng=13.2.0=h69a702a_5
|
199 |
+
- libgfortran5=13.2.0=ha4646dd_5
|
200 |
+
- libglib=2.80.0=hf2295e7_0
|
201 |
+
- libgomp=13.2.0=h807b86a_3
|
202 |
+
- libgoogle-cloud=2.8.0=h3c06191_0
|
203 |
+
- libgrpc=1.51.1=hcf146ea_3
|
204 |
+
- libhwloc=2.9.3=default_h554bfaf_1009
|
205 |
+
- libiconv=1.17=hd590300_2
|
206 |
+
- libjpeg-turbo=3.0.0=hd590300_1
|
207 |
+
- libkvikio=23.08.00=cuda12_230809_g51a9036_0
|
208 |
+
- liblapack=3.9.0=21_linux64_openblas
|
209 |
+
- libllvm14=14.0.6=hcd5def8_4
|
210 |
+
- libmamba=1.5.0=h658169a_0
|
211 |
+
- libmambapy=1.5.0=py310h8aae740_0
|
212 |
+
- libnghttp2=1.58.0=h47da74e_1
|
213 |
+
- libnsl=2.0.1=hd590300_0
|
214 |
+
- libnuma=2.0.18=hd590300_0
|
215 |
+
- libnvjitlink=12.1.105=hd3aeb46_0
|
216 |
+
- libopenblas=0.3.26=pthreads_h413a1c8_0
|
217 |
+
- libpng=1.6.43=h2797004_0
|
218 |
+
- libprotobuf=3.21.12=hfc55251_2
|
219 |
+
- libraft=23.08.00=cuda12_230809_ge588d7b5_0
|
220 |
+
- libraft-headers=23.08.00=cuda12_230809_ge588d7b5_0
|
221 |
+
- libraft-headers-only=23.08.00=cuda12_230809_ge588d7b5_0
|
222 |
+
- librmm=23.08.00=cuda12_230809_gf3af0e8d_0
|
223 |
+
- librsvg=2.56.3=he3f83f7_1
|
224 |
+
- libsodium=1.0.18=h36c2ea0_1
|
225 |
+
- libsolv=0.7.27=hfc55251_0
|
226 |
+
- libsqlite=3.44.2=h2797004_0
|
227 |
+
- libssh2=1.11.0=h0841786_0
|
228 |
+
- libstdcxx-ng=13.2.0=h7e041cc_3
|
229 |
+
- libthrift=0.18.0=h5e4af38_0
|
230 |
+
- libtiff=4.6.0=ha9c0a0a_2
|
231 |
+
- libutf8proc=2.8.0=h166bdaf_0
|
232 |
+
- libuuid=2.38.1=h0b41bf4_0
|
233 |
+
- libuv=1.46.0=hd590300_0
|
234 |
+
- libwebp=1.3.2=h658648e_1
|
235 |
+
- libwebp-base=1.3.2=hd590300_0
|
236 |
+
- libxcb=1.15=h0b41bf4_0
|
237 |
+
- libxcrypt=4.4.36=hd590300_1
|
238 |
+
- libxml2=2.12.6=h232c23b_0
|
239 |
+
- libzlib=1.2.13=hd590300_5
|
240 |
+
- llvm-openmp=8.0.1=hc9558a2_0
|
241 |
+
- locket=1.0.0=pyhd8ed1ab_0
|
242 |
+
- lz4=4.3.3=py310h350c4a5_0
|
243 |
+
- lz4-c=1.9.4=hcb278e6_0
|
244 |
+
- lzo=2.10=h516909a_1000
|
245 |
+
- magma-cuda121=2.6.1=1
|
246 |
+
- mamba=1.5.0=py310h51d5547_0
|
247 |
+
- markdown-it-py=3.0.0=pyhd8ed1ab_0
|
248 |
+
- matplotlib-base=3.8.3=py310h62c0568_0
|
249 |
+
- matplotlib-inline=0.1.6=pyhd8ed1ab_0
|
250 |
+
- mdurl=0.1.2=pyhd8ed1ab_0
|
251 |
+
- menuinst=2.0.1=py310hff52083_0
|
252 |
+
- mkl=2023.1.0=h213fc3f_46344
|
253 |
+
- msgpack-python=1.0.7=py310hd41b1e2_0
|
254 |
+
- multidict=6.0.4=py310h2372a71_1
|
255 |
+
- munkres=1.1.4=pyh9f0ad1d_0
|
256 |
+
- murmurhash=1.0.10=py310hc6cd4ac_1
|
257 |
+
- nb_conda=2.2.1=unix_7
|
258 |
+
- nb_conda_kernels=2.3.1=pyhd8ed1ab_3
|
259 |
+
- nbclassic=1.0.0=pyhb4ecaf3_1
|
260 |
+
- nbconvert-pandoc=7.14.0=pyhd8ed1ab_0
|
261 |
+
- nbformat=5.9.2=pyhd8ed1ab_0
|
262 |
+
- nccl=2.20.5.1=h3a97aeb_0
|
263 |
+
- ncurses=6.4=h59595ed_2
|
264 |
+
- nest-asyncio=1.5.8=pyhd8ed1ab_0
|
265 |
+
- nodejs=20.9.0=hb753e55_0
|
266 |
+
- notebook-shim=0.2.3=pyhd8ed1ab_0
|
267 |
+
- numpy=1.26.4=py310hb13e2d6_0
|
268 |
+
- nvcomp=2.6.1=h10b603f_3
|
269 |
+
- nvtx=0.2.10=py310h2372a71_0
|
270 |
+
- openjpeg=2.5.2=h488ebb8_0
|
271 |
+
- openmp=8.0.1=0
|
272 |
+
- openssl=3.2.1=hd590300_0
|
273 |
+
- orc=1.8.2=hfdbbad2_2
|
274 |
+
- overrides=7.4.0=pyhd8ed1ab_0
|
275 |
+
- pandoc=3.1.3=h32600fe_0
|
276 |
+
- pandocfilters=1.5.0=pyhd8ed1ab_0
|
277 |
+
- pango=1.52.1=ha41ecd1_0
|
278 |
+
- parquet-cpp=1.5.1=2
|
279 |
+
- parso=0.8.3=pyhd8ed1ab_0
|
280 |
+
- partd=1.4.1=pyhd8ed1ab_0
|
281 |
+
- pathy=0.10.3=py310h06a4308_0
|
282 |
+
- pcre2=10.43=hcad00b1_0
|
283 |
+
- perl=5.32.1=7_hd590300_perl5
|
284 |
+
- pickleshare=0.7.5=py_1003
|
285 |
+
- pip=23.3.2=pyhd8ed1ab_0
|
286 |
+
- pixman=0.43.2=h59595ed_0
|
287 |
+
- pkg-config=0.29.2=h36c2ea0_1008
|
288 |
+
- pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1
|
289 |
+
- preshed=3.0.9=py310hc6cd4ac_1
|
290 |
+
- proj=9.3.1=h1d62c97_0
|
291 |
+
- prometheus_client=0.19.0=pyhd8ed1ab_0
|
292 |
+
- proto-plus=1.23.0=pyhd8ed1ab_0
|
293 |
+
- pthread-stubs=0.4=h36c2ea0_1001
|
294 |
+
- ptyprocess=0.7.0=pyhd3deb0d_0
|
295 |
+
- pure_eval=0.2.2=pyhd8ed1ab_0
|
296 |
+
- pyarrow=11.0.0=py310h633f555_9_cpu
|
297 |
+
- pyasn1=0.5.1=pyhd8ed1ab_0
|
298 |
+
- pyasn1-modules=0.3.0=pyhd8ed1ab_0
|
299 |
+
- pybind11-abi=4=hd8ed1ab_3
|
300 |
+
- pycosat=0.6.6=py310h2372a71_0
|
301 |
+
- pygments=2.17.2=pyhd8ed1ab_0
|
302 |
+
- pylibraft=23.08.00=cuda12_py310_230809_ge588d7b5_0
|
303 |
+
- pynvml=11.4.1=pyhd8ed1ab_0
|
304 |
+
- pyopenssl=23.3.0=pyhd8ed1ab_0
|
305 |
+
- pyproj=3.6.1=py310hd5c30f3_5
|
306 |
+
- pyshp=2.3.1=pyhd8ed1ab_0
|
307 |
+
- pysocks=1.7.1=py310h06a4308_0
|
308 |
+
- python=3.10.13=hd12c33a_1_cpython
|
309 |
+
- python-fastjsonschema=2.19.1=pyhd8ed1ab_0
|
310 |
+
- python-json-logger=2.0.7=pyhd8ed1ab_0
|
311 |
+
- python_abi=3.10=4_cp310
|
312 |
+
- pyu2f=0.1.5=pyhd8ed1ab_0
|
313 |
+
- pyyaml=6.0.1=py310h2372a71_1
|
314 |
+
- raft-dask=23.08.00=cuda12_py310_230809_ge588d7b5_0
|
315 |
+
- rdma-core=28.9=h59595ed_1
|
316 |
+
- re2=2023.02.02=hcb278e6_0
|
317 |
+
- readline=8.2=h8228510_1
|
318 |
+
- referencing=0.32.1=pyhd8ed1ab_0
|
319 |
+
- reproc=14.2.4.post0=hd590300_1
|
320 |
+
- reproc-cpp=14.2.4.post0=h59595ed_1
|
321 |
+
- requests=2.31.0=pyhd8ed1ab_0
|
322 |
+
- rfc3339-validator=0.1.4=pyhd8ed1ab_0
|
323 |
+
- rfc3986-validator=0.1.1=pyh9f0ad1d_0
|
324 |
+
- rmm=23.08.00=cuda12_py310_230809_gf3af0e8d_0
|
325 |
+
- rpds-py=0.16.2=py310hcb5633a_0
|
326 |
+
- rsa=4.9=pyhd8ed1ab_0
|
327 |
+
- ruamel.yaml=0.17.40=py310h2372a71_0
|
328 |
+
- ruamel.yaml.clib=0.2.7=py310h2372a71_2
|
329 |
+
- ruamel_yaml=0.15.100=py310h7f8727e_0
|
330 |
+
- s2n=1.3.41=h3358134_0
|
331 |
+
- send2trash=1.8.2=pyh41d4057_0
|
332 |
+
- setuptools=69.0.3=pyhd8ed1ab_0
|
333 |
+
- shellingham=1.5.4=pyhd8ed1ab_0
|
334 |
+
- smart_open=6.4.0=pyhd8ed1ab_0
|
335 |
+
- snappy=1.1.10=h9fff704_0
|
336 |
+
- sniffio=1.3.0=pyhd8ed1ab_0
|
337 |
+
- sortedcontainers=2.4.0=pyhd8ed1ab_0
|
338 |
+
- soupsieve=2.5=pyhd8ed1ab_1
|
339 |
+
- spacy=3.7.2=py310hcb52e73_0
|
340 |
+
- spacy-legacy=3.0.12=pyhd8ed1ab_0
|
341 |
+
- spacy-loggers=1.0.5=pyhd8ed1ab_0
|
342 |
+
- spdlog=1.11.0=h9b3ece8_1
|
343 |
+
- sqlite=3.38.2=hc218d9a_0
|
344 |
+
- srsly=2.4.8=py310hc6cd4ac_1
|
345 |
+
- stack_data=0.6.2=pyhd8ed1ab_0
|
346 |
+
- tblib=3.0.0=pyhd8ed1ab_0
|
347 |
+
- terminado=0.18.0=pyh0d859eb_0
|
348 |
+
- thinc=8.2.2=py310hcb52e73_0
|
349 |
+
- tinycss2=1.2.1=pyhd8ed1ab_0
|
350 |
+
- tk=8.6.13=noxft_h4845f30_101
|
351 |
+
- toolz=0.12.1=pyhd8ed1ab_0
|
352 |
+
- tornado=6.3.3=py310h2372a71_1
|
353 |
+
- tqdm=4.66.1=pyhd8ed1ab_0
|
354 |
+
- traitlets=5.9.0=pyhd8ed1ab_0
|
355 |
+
- treelite=3.2.0=py310h1be96d9_0
|
356 |
+
- truststore=0.8.0=pyhd8ed1ab_0
|
357 |
+
- typer=0.9.0=pyhd8ed1ab_0
|
358 |
+
- types-python-dateutil=2.8.19.20240106=pyhd8ed1ab_0
|
359 |
+
- typing-extensions=4.9.0=hd8ed1ab_0
|
360 |
+
- typing_extensions=4.9.0=pyha770c72_0
|
361 |
+
- typing_utils=0.1.0=pyhd8ed1ab_0
|
362 |
+
- ucx=1.14.1=h195a15c_5
|
363 |
+
- ucx-proc=1.0.0=gpu
|
364 |
+
- ucx-py=0.33.00=py310_230809_gea1eb8f_0
|
365 |
+
- unicodedata2=15.1.0=py310h2372a71_0
|
366 |
+
- uri-template=1.3.0=pyhd8ed1ab_0
|
367 |
+
- wasabi=1.1.2=py310hff52083_0
|
368 |
+
- wcwidth=0.2.13=pyhd8ed1ab_0
|
369 |
+
- weasel=0.3.4=pyhd8ed1ab_0
|
370 |
+
- webcolors=1.13=pyhd8ed1ab_0
|
371 |
+
- webencodings=0.5.1=pyhd8ed1ab_2
|
372 |
+
- websocket-client=1.7.0=pyhd8ed1ab_0
|
373 |
+
- wheel=0.42.0=pyhd8ed1ab_0
|
374 |
+
- xorg-kbproto=1.0.7=h7f98852_1002
|
375 |
+
- xorg-libice=1.1.1=hd590300_0
|
376 |
+
- xorg-libsm=1.2.4=h7391055_0
|
377 |
+
- xorg-libx11=1.8.7=h8ee46fc_0
|
378 |
+
- xorg-libxau=1.0.11=hd590300_0
|
379 |
+
- xorg-libxdmcp=1.1.3=h7f98852_0
|
380 |
+
- xorg-libxext=1.3.4=h0b41bf4_2
|
381 |
+
- xorg-libxrender=0.9.11=hd590300_0
|
382 |
+
- xorg-libxt=1.3.0=hd590300_1
|
383 |
+
- xorg-renderproto=0.11.1=h7f98852_1002
|
384 |
+
- xorg-xextproto=7.3.0=h0b41bf4_1003
|
385 |
+
- xorg-xproto=7.0.31=h7f98852_1007
|
386 |
+
- xyzservices=2023.10.1=pyhd8ed1ab_0
|
387 |
+
- xz=5.2.6=h166bdaf_0
|
388 |
+
- yaml=0.2.5=h7b6447c_0
|
389 |
+
- yaml-cpp=0.7.0=h59595ed_3
|
390 |
+
- zeromq=4.3.5=h59595ed_0
|
391 |
+
- zict=3.0.0=pyhd8ed1ab_0
|
392 |
+
- zipp=3.17.0=pyhd8ed1ab_0
|
393 |
+
- zlib=1.2.13=hd590300_5
|
394 |
+
- zstandard=0.22.0=py310h1275a96_0
|
395 |
+
- zstd=1.5.5=hfc55251_0
|
396 |
+
- pip:
|
397 |
+
- absl-py==1.4.0
|
398 |
+
- accelerate==0.28.0
|
399 |
+
- access==1.1.9
|
400 |
+
- affine==2.4.0
|
401 |
+
- aiobotocore==2.12.1
|
402 |
+
- aiofiles==22.1.0
|
403 |
+
- aiohttp-cors==0.7.0
|
404 |
+
- aioitertools==0.11.0
|
405 |
+
- aiorwlock==1.3.0
|
406 |
+
- aiosqlite==0.19.0
|
407 |
+
- albumentations==1.4.0
|
408 |
+
- alembic==1.13.1
|
409 |
+
- altair==5.2.0
|
410 |
+
- annoy==1.17.3
|
411 |
+
- apache-beam==2.46.0
|
412 |
+
- aplus==0.11.0
|
413 |
+
- appdirs==1.4.4
|
414 |
+
- array-record==0.5.0
|
415 |
+
- arviz==0.17.1
|
416 |
+
- astroid==3.0.3
|
417 |
+
- astropy==6.0.0
|
418 |
+
- astropy-iers-data==0.2024.3.18.0.29.47
|
419 |
+
- astunparse==1.6.3
|
420 |
+
- async-lru==2.0.4
|
421 |
+
- audioread==3.0.1
|
422 |
+
- auto-gptq==0.7.1
|
423 |
+
- autopep8==2.0.4
|
424 |
+
- babel==2.14.0
|
425 |
+
- backoff==2.2.1
|
426 |
+
- bayesian-optimization==1.4.3
|
427 |
+
- beatrix-jupyterlab==2023.128.151533
|
428 |
+
- bidict==0.23.1
|
429 |
+
- bitsandbytes==0.43.0
|
430 |
+
- blake3==0.2.1
|
431 |
+
- blessed==1.20.0
|
432 |
+
- blinker==1.7.0
|
433 |
+
- blosc2==2.5.1
|
434 |
+
- bokeh==3.3.4
|
435 |
+
- boruta==0.3
|
436 |
+
- boto3==1.26.100
|
437 |
+
- botocore==1.34.51
|
438 |
+
- bqplot==0.12.43
|
439 |
+
- branca==0.7.1
|
440 |
+
- brewer2mpl==1.4.1
|
441 |
+
- cachetools==4.2.4
|
442 |
+
- catalyst==22.4
|
443 |
+
- catboost==1.2.3
|
444 |
+
- category-encoders==2.6.3
|
445 |
+
- cesium==0.12.1
|
446 |
+
- chex==0.1.85
|
447 |
+
- cleverhans==4.0.0
|
448 |
+
- click-plugins==1.1.1
|
449 |
+
- cligj==0.7.2
|
450 |
+
- cloud-tpu-client==0.10
|
451 |
+
- cloud-tpu-profiler==2.4.0
|
452 |
+
- cloudpickle==2.2.1
|
453 |
+
- cmdstanpy==1.2.1
|
454 |
+
- cmudict==1.0.21
|
455 |
+
- colorcet==3.1.0
|
456 |
+
- coloredlogs==15.0.1
|
457 |
+
- colorful==0.5.6
|
458 |
+
- colorlog==6.8.2
|
459 |
+
- colorlover==0.3.0
|
460 |
+
- contextily==1.5.2
|
461 |
+
- convertdate==2.4.0
|
462 |
+
- crcmod==1.7
|
463 |
+
- cufflinks==0.17.3
|
464 |
+
- cvxcanon==0.1.2
|
465 |
+
- cython==3.0.8
|
466 |
+
- daal==2024.1.0
|
467 |
+
- daal4py==2024.1.0
|
468 |
+
- dacite==1.8.1
|
469 |
+
- dask==2024.3.1
|
470 |
+
- dask-expr==1.0.4
|
471 |
+
- dataclasses-json==0.6.4
|
472 |
+
- dataproc-jupyter-plugin==0.1.66
|
473 |
+
- datasets==2.1.0
|
474 |
+
- datashader==0.16.0
|
475 |
+
- datatile==1.0.3
|
476 |
+
- db-dtypes==1.2.0
|
477 |
+
- deap==1.4.1
|
478 |
+
- deepdiff==6.7.1
|
479 |
+
- deprecated==1.2.14
|
480 |
+
- deprecation==2.1.0
|
481 |
+
- descartes==1.1.0
|
482 |
+
- dill==0.3.8
|
483 |
+
- dipy==1.9.0
|
484 |
+
- distlib==0.3.8
|
485 |
+
- dm-tree==0.1.8
|
486 |
+
- docker==7.0.0
|
487 |
+
- docker-pycreds==0.4.0
|
488 |
+
- docopt==0.6.2
|
489 |
+
- docstring-parser==0.15
|
490 |
+
- docstring-to-markdown==0.15
|
491 |
+
- docutils==0.20.1
|
492 |
+
- earthengine-api==0.1.394
|
493 |
+
- easydict==1.13
|
494 |
+
- easyocr==1.7.1
|
495 |
+
- ecos==2.0.13
|
496 |
+
- eli5==0.13.0
|
497 |
+
- emoji==2.10.1
|
498 |
+
- en-core-web-lg==3.7.1
|
499 |
+
- en-core-web-sm==3.7.1
|
500 |
+
- ephem==4.1.5
|
501 |
+
- esda==2.5.1
|
502 |
+
- essentia==2.1b6.dev1110
|
503 |
+
- et-xmlfile==1.1.0
|
504 |
+
- etils==1.6.0
|
505 |
+
- explainable-ai-sdk==1.3.3
|
506 |
+
- farama-notifications==0.0.4
|
507 |
+
- fastai==2.7.14
|
508 |
+
- fastapi==0.108.0
|
509 |
+
- fastavro==1.9.3
|
510 |
+
- fastcore==1.5.29
|
511 |
+
- fastdownload==0.0.7
|
512 |
+
- fasteners==0.19
|
513 |
+
- fastprogress==1.0.3
|
514 |
+
- fasttext==0.9.2
|
515 |
+
- feather-format==0.4.1
|
516 |
+
- featuretools==1.30.0
|
517 |
+
- filelock==3.13.1
|
518 |
+
- fiona==1.9.6
|
519 |
+
- fitter==1.7.0
|
520 |
+
- flake8==7.0.0
|
521 |
+
- flashtext==2.7
|
522 |
+
- flask==3.0.2
|
523 |
+
- flatbuffers==23.5.26
|
524 |
+
- flax==0.8.2
|
525 |
+
- folium==0.16.0
|
526 |
+
- fonttools==4.47.0
|
527 |
+
- frozendict==2.4.0
|
528 |
+
- funcy==2.0
|
529 |
+
- fury==0.10.0
|
530 |
+
- future==1.0.0
|
531 |
+
- fuzzywuzzy==0.18.0
|
532 |
+
- gast==0.5.4
|
533 |
+
- gatspy==0.3
|
534 |
+
- gcsfs==2023.12.2.post1
|
535 |
+
- gekko==1.1.0
|
536 |
+
- gensim==4.3.2
|
537 |
+
- geographiclib==2.0
|
538 |
+
- geohash==1.0
|
539 |
+
- geojson==3.1.0
|
540 |
+
- geopandas==0.14.3
|
541 |
+
- geoplot==0.5.1
|
542 |
+
- geopy==2.4.1
|
543 |
+
- geoviews==1.11.1
|
544 |
+
- ggplot==0.11.5
|
545 |
+
- giddy==2.3.5
|
546 |
+
- gitdb==4.0.11
|
547 |
+
- gitpython==3.1.41
|
548 |
+
- google-ai-generativelanguage==0.4.0
|
549 |
+
- google-api-core==2.17.1
|
550 |
+
- google-api-python-client==2.122.0
|
551 |
+
- google-apitools==0.5.31
|
552 |
+
- google-auth-httplib2==0.1.1
|
553 |
+
- google-auth-oauthlib==1.2.0
|
554 |
+
- google-cloud-aiplatform==0.6.0a1
|
555 |
+
- google-cloud-artifact-registry==1.10.0
|
556 |
+
- google-cloud-automl==1.0.1
|
557 |
+
- google-cloud-bigquery==2.34.4
|
558 |
+
- google-cloud-bigtable==1.7.3
|
559 |
+
- google-cloud-dlp==3.14.0
|
560 |
+
- google-cloud-jupyter-config==0.0.5
|
561 |
+
- google-cloud-language==2.13.3
|
562 |
+
- google-cloud-monitoring==2.18.0
|
563 |
+
- google-cloud-pubsub==2.19.0
|
564 |
+
- google-cloud-pubsublite==1.9.0
|
565 |
+
- google-cloud-recommendations-ai==0.7.1
|
566 |
+
- google-cloud-resource-manager==1.11.0
|
567 |
+
- google-cloud-spanner==3.40.1
|
568 |
+
- google-cloud-storage==1.44.0
|
569 |
+
- google-cloud-translate==3.12.1
|
570 |
+
- google-cloud-videointelligence==2.13.3
|
571 |
+
- google-cloud-vision==2.8.0
|
572 |
+
- google-crc32c==1.5.0
|
573 |
+
- google-generativeai==0.4.1
|
574 |
+
- google-pasta==0.2.0
|
575 |
+
- google-resumable-media==2.7.0
|
576 |
+
- gplearn==0.4.2
|
577 |
+
- gpustat==1.0.0
|
578 |
+
- gpxpy==1.6.2
|
579 |
+
- greenlet==3.0.3
|
580 |
+
- grpc-google-iam-v1==0.12.7
|
581 |
+
- grpcio==1.60.0
|
582 |
+
- grpcio-status==1.48.2
|
583 |
+
- gviz-api==1.10.0
|
584 |
+
- gym==0.26.2
|
585 |
+
- gym-notices==0.0.8
|
586 |
+
- gymnasium==0.29.0
|
587 |
+
- h11==0.14.0
|
588 |
+
- h2o==3.46.0.1
|
589 |
+
- h5netcdf==1.3.0
|
590 |
+
- h5py==3.10.0
|
591 |
+
- haversine==2.8.1
|
592 |
+
- hdfs==2.7.3
|
593 |
+
- hep-ml==0.7.2
|
594 |
+
- hijri-converter==2.3.1
|
595 |
+
- hmmlearn==0.3.2
|
596 |
+
- holidays==0.24
|
597 |
+
- holoviews==1.18.3
|
598 |
+
- hpsklearn==0.1.0
|
599 |
+
- html5lib==1.1
|
600 |
+
- htmlmin==0.1.12
|
601 |
+
- httpcore==1.0.4
|
602 |
+
- httplib2==0.21.0
|
603 |
+
- httptools==0.6.1
|
604 |
+
- httpx==0.27.0
|
605 |
+
- huggingface-hub==0.21.4
|
606 |
+
- humanfriendly==10.0
|
607 |
+
- hunspell==0.5.5
|
608 |
+
- husl==4.0.3
|
609 |
+
- hydra-slayer==0.5.0
|
610 |
+
- hyperopt==0.2.7
|
611 |
+
- hypertools==0.8.0
|
612 |
+
- igraph==0.11.4
|
613 |
+
- imagecodecs==2024.1.1
|
614 |
+
- imagehash==4.3.1
|
615 |
+
- imageio==2.33.1
|
616 |
+
- imbalanced-learn==0.12.0
|
617 |
+
- imgaug==0.4.0
|
618 |
+
- importlib-metadata==6.11.0
|
619 |
+
- inequality==1.0.1
|
620 |
+
- iniconfig==2.0.0
|
621 |
+
- ipydatawidgets==4.3.5
|
622 |
+
- ipyleaflet==0.18.2
|
623 |
+
- ipympl==0.7.0
|
624 |
+
- ipython-genutils==0.2.0
|
625 |
+
- ipython-sql==0.5.0
|
626 |
+
- ipyvolume==0.6.3
|
627 |
+
- ipyvue==1.10.2
|
628 |
+
- ipyvuetify==1.9.2
|
629 |
+
- ipywebrtc==0.6.0
|
630 |
+
- ipywidgets==7.7.1
|
631 |
+
- isort==5.13.2
|
632 |
+
- isoweek==1.3.3
|
633 |
+
- itsdangerous==2.1.2
|
634 |
+
- janome==0.5.0
|
635 |
+
- jaraco-classes==3.3.0
|
636 |
+
- jax==0.4.23
|
637 |
+
- jax-jumpy==1.0.0
|
638 |
+
- jaxlib==0.4.23.dev20240116
|
639 |
+
- jeepney==0.8.0
|
640 |
+
- jieba==0.42.1
|
641 |
+
- jmespath==1.0.1
|
642 |
+
- json5==0.9.14
|
643 |
+
- jupyter-client==7.4.9
|
644 |
+
- jupyter-console==6.6.3
|
645 |
+
- jupyter-http-over-ws==0.0.8
|
646 |
+
- jupyter-lsp==1.5.1
|
647 |
+
- jupyter-server==2.13.0
|
648 |
+
- jupyter-server-fileid==0.9.1
|
649 |
+
- jupyter-server-mathjax==0.2.6
|
650 |
+
- jupyter-server-proxy==4.1.0
|
651 |
+
- jupyter-server-ydoc==0.8.0
|
652 |
+
- jupyter-ydoc==0.2.5
|
653 |
+
- jupyterlab==4.1.5
|
654 |
+
- jupyterlab-git==0.44.0
|
655 |
+
- jupyterlab-lsp==5.1.0
|
656 |
+
- jupyterlab-server==2.25.2
|
657 |
+
- jupyterlab-widgets==3.0.9
|
658 |
+
- jupytext==1.16.0
|
659 |
+
- kaggle==1.6.6
|
660 |
+
- kaggle-environments==1.14.3
|
661 |
+
- kagglehub==0.2.0
|
662 |
+
- keras==3.0.5
|
663 |
+
- keras-cv==0.8.2
|
664 |
+
- keras-nlp==0.8.2
|
665 |
+
- keras-tuner==1.4.6
|
666 |
+
- kernels-mixer==0.0.7
|
667 |
+
- keyring==24.3.0
|
668 |
+
- keyrings-google-artifactregistry-auth==1.1.2
|
669 |
+
- kfp==2.5.0
|
670 |
+
- kfp-pipeline-spec==0.2.2
|
671 |
+
- kfp-server-api==2.0.5
|
672 |
+
- kmapper==2.0.1
|
673 |
+
- kmodes==0.12.2
|
674 |
+
- korean-lunar-calendar==0.3.1
|
675 |
+
- kornia==0.7.2
|
676 |
+
- kornia-rs==0.1.2
|
677 |
+
- kt-legacy==1.0.5
|
678 |
+
- kubernetes==26.1.0
|
679 |
+
- langid==1.1.6
|
680 |
+
- lazy-loader==0.3
|
681 |
+
- learntools==0.3.4
|
682 |
+
- leven==1.0.4
|
683 |
+
- levenshtein==0.25.0
|
684 |
+
- libclang==16.0.6
|
685 |
+
- libpysal==4.9.2
|
686 |
+
- librosa==0.10.1
|
687 |
+
- lightgbm==4.2.0
|
688 |
+
- lightning-utilities==0.10.1
|
689 |
+
- lime==0.2.0.1
|
690 |
+
- line-profiler==4.1.2
|
691 |
+
- linkify-it-py==2.0.3
|
692 |
+
- llvmlite==0.41.1
|
693 |
+
- lml==0.1.0
|
694 |
+
- loguru==0.7.2
|
695 |
+
- lunarcalendar==0.0.9
|
696 |
+
- lxml==5.1.0
|
697 |
+
- mako==1.3.2
|
698 |
+
- mapclassify==2.6.1
|
699 |
+
- markdown==3.5.2
|
700 |
+
- markovify==0.9.4
|
701 |
+
- markupsafe==2.1.5
|
702 |
+
- marshmallow==3.21.1
|
703 |
+
- matplotlib==3.7.5
|
704 |
+
- matplotlib-venn==0.11.10
|
705 |
+
- mccabe==0.7.0
|
706 |
+
- mdit-py-plugins==0.4.0
|
707 |
+
- memory-profiler==0.61.0
|
708 |
+
- mercantile==1.2.1
|
709 |
+
- mgwr==2.2.1
|
710 |
+
- missingno==0.5.2
|
711 |
+
- mistune==0.8.4
|
712 |
+
- mizani==0.11.0
|
713 |
+
- ml-dtypes==0.2.0
|
714 |
+
- mlcrate==0.2.0
|
715 |
+
- mlens==0.2.3
|
716 |
+
- mlxtend==0.23.1
|
717 |
+
- mmh3==4.1.0
|
718 |
+
- mne==1.6.1
|
719 |
+
- mnist==0.2.2
|
720 |
+
- mock==5.1.0
|
721 |
+
- momepy==0.7.0
|
722 |
+
- more-itertools==10.2.0
|
723 |
+
- mpld3==0.5.10
|
724 |
+
- mpmath==1.3.0
|
725 |
+
- msgpack-numpy==0.4.8
|
726 |
+
- multimethod==1.10
|
727 |
+
- multipledispatch==1.0.0
|
728 |
+
- multiprocess==0.70.16
|
729 |
+
- mypy-extensions==1.0.0
|
730 |
+
- namex==0.0.7
|
731 |
+
- nbclient==0.5.13
|
732 |
+
- nbconvert==6.4.5
|
733 |
+
- nbdime==3.2.0
|
734 |
+
- ndindex==1.8
|
735 |
+
- networkx==3.2.1
|
736 |
+
- nibabel==5.2.1
|
737 |
+
- nilearn==0.10.3
|
738 |
+
- ninja==1.11.1.1
|
739 |
+
- nltk==3.2.4
|
740 |
+
- nose==1.3.7
|
741 |
+
- notebook==6.5.6
|
742 |
+
- notebook-executor==0.2
|
743 |
+
- numba==0.58.1
|
744 |
+
- numexpr==2.9.0
|
745 |
+
- nvidia-ml-py==11.495.46
|
746 |
+
- oauth2client==4.1.3
|
747 |
+
- oauthlib==3.2.2
|
748 |
+
- objsize==0.6.1
|
749 |
+
- odfpy==1.4.1
|
750 |
+
- olefile==0.47
|
751 |
+
- onnx==1.15.0
|
752 |
+
- opencensus==0.11.4
|
753 |
+
- opencensus-context==0.1.3
|
754 |
+
- opencv-contrib-python==4.9.0.80
|
755 |
+
- opencv-python==4.9.0.80
|
756 |
+
- opencv-python-headless==4.9.0.80
|
757 |
+
- openpyxl==3.1.2
|
758 |
+
- openslide-python==1.3.1
|
759 |
+
- opentelemetry-api==1.22.0
|
760 |
+
- opentelemetry-exporter-otlp==1.22.0
|
761 |
+
- opentelemetry-exporter-otlp-proto-common==1.22.0
|
762 |
+
- opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
763 |
+
- opentelemetry-exporter-otlp-proto-http==1.22.0
|
764 |
+
- opentelemetry-proto==1.22.0
|
765 |
+
- opentelemetry-sdk==1.22.0
|
766 |
+
- opentelemetry-semantic-conventions==0.43b0
|
767 |
+
- opt-einsum==3.3.0
|
768 |
+
- optax==0.2.1
|
769 |
+
- optimum==1.18.0
|
770 |
+
- optuna==3.6.0
|
771 |
+
- orbax-checkpoint==0.5.6
|
772 |
+
- ordered-set==4.1.0
|
773 |
+
- orjson==3.9.10
|
774 |
+
- ortools==9.4.1874
|
775 |
+
- osmnx==1.9.1
|
776 |
+
- packaging==21.3
|
777 |
+
- pandas==2.1.4
|
778 |
+
- pandas-datareader==0.10.0
|
779 |
+
- pandas-profiling==3.6.6
|
780 |
+
- pandas-summary==0.2.0
|
781 |
+
- pandasql==0.7.3
|
782 |
+
- panel==1.3.8
|
783 |
+
- papermill==2.5.0
|
784 |
+
- param==2.0.2
|
785 |
+
- path==16.10.0
|
786 |
+
- path-py==12.5.0
|
787 |
+
- pathos==0.3.2
|
788 |
+
- patsy==0.5.6
|
789 |
+
- pdf2image==1.17.0
|
790 |
+
- peft==0.10.0
|
791 |
+
- pettingzoo==1.24.0
|
792 |
+
- pexpect==4.9.0
|
793 |
+
- phik==0.12.4
|
794 |
+
- pillow==9.5.0
|
795 |
+
- platformdirs==4.2.0
|
796 |
+
- plotly==5.18.0
|
797 |
+
- plotly-express==0.4.1
|
798 |
+
- plotnine==0.13.2
|
799 |
+
- pluggy==1.4.0
|
800 |
+
- pointpats==2.4.0
|
801 |
+
- polars==0.20.15
|
802 |
+
- polyglot==16.7.4
|
803 |
+
- pooch==1.8.1
|
804 |
+
- pox==0.3.4
|
805 |
+
- ppca==0.0.4
|
806 |
+
- ppft==1.7.6.8
|
807 |
+
- preprocessing==0.1.13
|
808 |
+
- prettytable==3.9.0
|
809 |
+
- progressbar2==4.4.2
|
810 |
+
- promise==2.3
|
811 |
+
- prompt-toolkit==3.0.43
|
812 |
+
- pronouncing==0.2.0
|
813 |
+
- prophet==1.1.1
|
814 |
+
- protobuf==3.20.3
|
815 |
+
- psutil==5.9.3
|
816 |
+
- pudb==2024.1
|
817 |
+
- pulp==2.8.0
|
818 |
+
- py-cpuinfo==9.0.0
|
819 |
+
- py-spy==0.3.14
|
820 |
+
- py4j==0.10.9.7
|
821 |
+
- pyaml==23.12.0
|
822 |
+
- pyarabic==0.6.15
|
823 |
+
- pyastronomy==0.21.0
|
824 |
+
- pybind11==2.11.1
|
825 |
+
- pyclipper==1.3.0.post5
|
826 |
+
- pycodestyle==2.11.1
|
827 |
+
- pycparser==2.21
|
828 |
+
- pycryptodome==3.20.0
|
829 |
+
- pyct==0.5.0
|
830 |
+
- pycuda==2024.1
|
831 |
+
- pydantic==2.5.3
|
832 |
+
- pydantic-core==2.14.6
|
833 |
+
- pydegensac==0.1.2
|
834 |
+
- pydicom==2.4.4
|
835 |
+
- pydocstyle==6.3.0
|
836 |
+
- pydot==1.4.2
|
837 |
+
- pydub==0.25.1
|
838 |
+
- pyemd==1.0.0
|
839 |
+
- pyerfa==2.0.1.1
|
840 |
+
- pyexcel-io==0.6.6
|
841 |
+
- pyexcel-ods==0.6.0
|
842 |
+
- pyflakes==3.2.0
|
843 |
+
- pygltflib==1.16.2
|
844 |
+
- pyjwt==2.8.0
|
845 |
+
- pykalman==0.9.5
|
846 |
+
- pyldavis==3.4.1
|
847 |
+
- pylint==3.0.4
|
848 |
+
- pymc3==3.11.4
|
849 |
+
- pymeeus==0.5.12
|
850 |
+
- pymongo==3.13.0
|
851 |
+
- pympler==1.0.1
|
852 |
+
- pynndescent==0.5.11
|
853 |
+
- pynvrtc==9.2
|
854 |
+
- pyocr==0.8.5
|
855 |
+
- pyparsing==3.1.1
|
856 |
+
- pypdf==4.1.0
|
857 |
+
- pysal==24.1
|
858 |
+
- pytesseract==0.3.10
|
859 |
+
- pytest==8.1.1
|
860 |
+
- python-bidi==0.4.2
|
861 |
+
- python-dateutil==2.9.0.post0
|
862 |
+
- python-dotenv==1.0.0
|
863 |
+
- python-graphviz==0.20.2
|
864 |
+
- python-levenshtein==0.25.0
|
865 |
+
- python-louvain==0.16
|
866 |
+
- python-lsp-jsonrpc==1.1.2
|
867 |
+
- python-lsp-server==1.10.1
|
868 |
+
- python-slugify==8.0.4
|
869 |
+
- python-utils==3.8.2
|
870 |
+
- pythreejs==2.4.2
|
871 |
+
- pytoolconfig==1.3.1
|
872 |
+
- pytools==2023.1.1
|
873 |
+
- pytorch-ignite==0.4.13
|
874 |
+
- pytorch-lightning==2.2.1
|
875 |
+
- pytz==2023.3.post1
|
876 |
+
- pyupset==0.1.1.post7
|
877 |
+
- pyviz-comms==3.0.1
|
878 |
+
- pywavelets==1.5.0
|
879 |
+
- pyzmq==24.0.1
|
880 |
+
- qgrid==1.3.1
|
881 |
+
- qtconsole==5.5.1
|
882 |
+
- qtpy==2.4.1
|
883 |
+
- quantecon==0.7.2
|
884 |
+
- quantities==0.15.0
|
885 |
+
- qudida==0.0.4
|
886 |
+
- rapidfuzz==3.6.2
|
887 |
+
- rasterio==1.3.9
|
888 |
+
- rasterstats==0.19.0
|
889 |
+
- ray==2.9.0
|
890 |
+
- ray-cpp==2.9.0
|
891 |
+
- regex==2023.12.25
|
892 |
+
- requests-oauthlib==1.3.1
|
893 |
+
- requests-toolbelt==0.10.1
|
894 |
+
- responses==0.18.0
|
895 |
+
- retrying==1.3.4
|
896 |
+
- rgf-python==3.12.0
|
897 |
+
- rich==13.7.0
|
898 |
+
- rich-click==1.7.4
|
899 |
+
- rope==1.12.0
|
900 |
+
- rouge==1.0.1
|
901 |
+
- rtree==1.2.0
|
902 |
+
- s2sphere==0.2.5
|
903 |
+
- s3fs==2024.3.0
|
904 |
+
- s3transfer==0.6.2
|
905 |
+
- safetensors==0.4.2
|
906 |
+
- scattertext==0.1.19
|
907 |
+
- scikit-image==0.22.0
|
908 |
+
- scikit-learn==1.2.2
|
909 |
+
- scikit-learn-intelex==2024.1.0
|
910 |
+
- scikit-multilearn==0.2.0
|
911 |
+
- scikit-optimize==0.10.1
|
912 |
+
- scikit-plot==0.3.7
|
913 |
+
- scikit-surprise==1.1.3
|
914 |
+
- scipy==1.11.4
|
915 |
+
- seaborn==0.12.2
|
916 |
+
- secretstorage==3.3.3
|
917 |
+
- segment-anything==1.0
|
918 |
+
- segregation==2.5
|
919 |
+
- semver==3.0.2
|
920 |
+
- sentencepiece==0.2.0
|
921 |
+
- sentry-sdk==1.42.0
|
922 |
+
- setproctitle==1.3.3
|
923 |
+
- setuptools-git==1.2
|
924 |
+
- setuptools-scm==8.0.4
|
925 |
+
- shap==0.44.1
|
926 |
+
- shapely==2.0.3
|
927 |
+
- shimmy==1.3.0
|
928 |
+
- simpervisor==1.0.0
|
929 |
+
- simpleitk==2.3.1
|
930 |
+
- simplejson==3.19.2
|
931 |
+
- six==1.16.0
|
932 |
+
- sklearn-pandas==2.2.0
|
933 |
+
- slicer==0.0.7
|
934 |
+
- smmap==5.0.1
|
935 |
+
- snowballstemmer==2.2.0
|
936 |
+
- snuggs==1.4.7
|
937 |
+
- soundfile==0.12.1
|
938 |
+
- soxr==0.3.7
|
939 |
+
- spaghetti==1.7.5.post1
|
940 |
+
- spectral==0.23.1
|
941 |
+
- spglm==1.1.0
|
942 |
+
- sphinx-rtd-theme==0.2.4
|
943 |
+
- spint==1.0.7
|
944 |
+
- splot==1.1.5.post1
|
945 |
+
- spopt==0.6.0
|
946 |
+
- spreg==1.4.2
|
947 |
+
- spvcm==0.3.0
|
948 |
+
- sqlalchemy==2.0.25
|
949 |
+
- sqlparse==0.4.4
|
950 |
+
- squarify==0.4.3
|
951 |
+
- stable-baselines3==2.1.0
|
952 |
+
- stack-data==0.6.3
|
953 |
+
- stanio==0.3.0
|
954 |
+
- starlette==0.32.0.post1
|
955 |
+
- statsmodels==0.14.1
|
956 |
+
- stemming==1.0.1
|
957 |
+
- stop-words==2018.7.23
|
958 |
+
- stopit==1.1.2
|
959 |
+
- stumpy==1.12.0
|
960 |
+
- sympy==1.12
|
961 |
+
- tables==3.9.2
|
962 |
+
- tabulate==0.9.0
|
963 |
+
- tangled-up-in-unicode==0.2.0
|
964 |
+
- tbb==2021.11.0
|
965 |
+
- tenacity==8.2.3
|
966 |
+
- tensorboard==2.15.1
|
967 |
+
- tensorboard-data-server==0.7.2
|
968 |
+
- tensorboard-plugin-profile==2.15.0
|
969 |
+
- tensorboardx==2.6.2.2
|
970 |
+
- tensorflow==2.15.0
|
971 |
+
- tensorflow-cloud==0.1.16
|
972 |
+
- tensorflow-datasets==4.9.4
|
973 |
+
- tensorflow-decision-forests==1.8.1
|
974 |
+
- tensorflow-estimator==2.15.0
|
975 |
+
- tensorflow-hub==0.16.1
|
976 |
+
- tensorflow-io==0.35.0
|
977 |
+
- tensorflow-io-gcs-filesystem==0.35.0
|
978 |
+
- tensorflow-metadata==0.14.0
|
979 |
+
- tensorflow-probability==0.23.0
|
980 |
+
- tensorflow-serving-api==2.14.1
|
981 |
+
- tensorflow-text==2.15.0
|
982 |
+
- tensorflow-transform==0.14.0
|
983 |
+
- tensorpack==0.11
|
984 |
+
- tensorstore==0.1.56
|
985 |
+
- termcolor==2.4.0
|
986 |
+
- testpath==0.6.0
|
987 |
+
- text-unidecode==1.3
|
988 |
+
- textblob==0.18.0.post0
|
989 |
+
- texttable==1.7.0
|
990 |
+
- tf-keras==2.15.1
|
991 |
+
- tfp-nightly==0.24.0.dev0
|
992 |
+
- theano==1.0.5
|
993 |
+
- theano-pymc==1.1.2
|
994 |
+
- threadpoolctl==3.2.0
|
995 |
+
- tifffile==2023.12.9
|
996 |
+
- timm==0.9.16
|
997 |
+
- tobler==0.11.2
|
998 |
+
- tokenizers==0.15.2
|
999 |
+
- toml==0.10.2
|
1000 |
+
- tomli==2.0.1
|
1001 |
+
- tomlkit==0.12.4
|
1002 |
+
- torch==2.1.2
|
1003 |
+
- torchaudio==2.1.2
|
1004 |
+
- torchdata==0.7.1
|
1005 |
+
- torchinfo==1.8.0
|
1006 |
+
- torchmetrics==1.3.2
|
1007 |
+
- torchtext==0.16.2
|
1008 |
+
- torchvision==0.16.2
|
1009 |
+
- tpot==0.12.1
|
1010 |
+
- traceml==1.0.8
|
1011 |
+
- traittypes==0.2.1
|
1012 |
+
- transformers==4.38.2
|
1013 |
+
- treelite-runtime==3.2.0
|
1014 |
+
- trueskill==0.4.5
|
1015 |
+
- trx-python==0.2.9
|
1016 |
+
- tsfresh==0.20.2
|
1017 |
+
- typeguard==4.1.5
|
1018 |
+
- typing-inspect==0.9.0
|
1019 |
+
- tzdata==2023.4
|
1020 |
+
- uc-micro-py==1.0.3
|
1021 |
+
- ujson==5.9.0
|
1022 |
+
- umap-learn==0.5.5
|
1023 |
+
- unidecode==1.3.8
|
1024 |
+
- update-checker==0.18.0
|
1025 |
+
- uritemplate==3.0.1
|
1026 |
+
- urllib3==1.26.18
|
1027 |
+
- urwid==2.6.9
|
1028 |
+
- urwid-readline==0.14
|
1029 |
+
- uvicorn==0.25.0
|
1030 |
+
- uvloop==0.19.0
|
1031 |
+
- vaex==4.17.0
|
1032 |
+
- vaex-astro==0.9.3
|
1033 |
+
- vaex-core==4.17.1
|
1034 |
+
- vaex-hdf5==0.14.1
|
1035 |
+
- vaex-jupyter==0.8.2
|
1036 |
+
- vaex-ml==0.18.3
|
1037 |
+
- vaex-server==0.9.0
|
1038 |
+
- vaex-viz==0.5.4
|
1039 |
+
- vec-noise==1.1.4
|
1040 |
+
- vecstack==0.4.0
|
1041 |
+
- virtualenv==20.21.0
|
1042 |
+
- visions==0.7.5
|
1043 |
+
- vowpalwabbit==9.9.0
|
1044 |
+
- vtk==9.3.0
|
1045 |
+
- wand==0.6.13
|
1046 |
+
- wandb==0.16.4
|
1047 |
+
- watchfiles==0.21.0
|
1048 |
+
- wavio==0.0.8
|
1049 |
+
- websockets==12.0
|
1050 |
+
- werkzeug==3.0.1
|
1051 |
+
- wfdb==4.1.2
|
1052 |
+
- whatthepatch==1.0.5
|
1053 |
+
- widgetsnbextension==3.6.6
|
1054 |
+
- witwidget==1.8.1
|
1055 |
+
- woodwork==0.29.0
|
1056 |
+
- wordcloud==1.9.3
|
1057 |
+
- wordsegment==1.3.1
|
1058 |
+
- wrapt==1.14.1
|
1059 |
+
- xarray==2024.2.0
|
1060 |
+
- xarray-einstats==0.7.0
|
1061 |
+
- xgboost==2.0.3
|
1062 |
+
- xvfbwrapper==0.2.9
|
1063 |
+
- xxhash==3.4.1
|
1064 |
+
- y-py==0.6.2
|
1065 |
+
- yapf==0.40.2
|
1066 |
+
- yarl==1.9.4
|
1067 |
+
- ydata-profiling==4.6.4
|
1068 |
+
- yellowbrick==1.5
|
1069 |
+
- ypy-websocket==0.8.4
|
1070 |
+
prefix: /opt/conda
|
wandb/run-20240401_065413-yzd7dxs3/files/config.yaml
ADDED
@@ -0,0 +1,724 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wandb_version: 1
|
2 |
+
|
3 |
+
_wandb:
|
4 |
+
desc: null
|
5 |
+
value:
|
6 |
+
python_version: 3.10.13
|
7 |
+
cli_version: 0.16.4
|
8 |
+
framework: huggingface
|
9 |
+
huggingface_version: 4.38.2
|
10 |
+
is_jupyter_run: true
|
11 |
+
is_kaggle_kernel: true
|
12 |
+
start_time: 1711954453.0
|
13 |
+
t:
|
14 |
+
1:
|
15 |
+
- 1
|
16 |
+
- 2
|
17 |
+
- 3
|
18 |
+
- 5
|
19 |
+
- 11
|
20 |
+
- 12
|
21 |
+
- 49
|
22 |
+
- 51
|
23 |
+
- 53
|
24 |
+
- 55
|
25 |
+
- 71
|
26 |
+
- 98
|
27 |
+
- 99
|
28 |
+
- 105
|
29 |
+
2:
|
30 |
+
- 1
|
31 |
+
- 2
|
32 |
+
- 3
|
33 |
+
- 5
|
34 |
+
- 11
|
35 |
+
- 12
|
36 |
+
- 49
|
37 |
+
- 51
|
38 |
+
- 53
|
39 |
+
- 55
|
40 |
+
- 71
|
41 |
+
- 98
|
42 |
+
- 99
|
43 |
+
- 105
|
44 |
+
3:
|
45 |
+
- 7
|
46 |
+
- 23
|
47 |
+
4: 3.10.13
|
48 |
+
5: 0.16.4
|
49 |
+
6: 4.38.2
|
50 |
+
8:
|
51 |
+
- 1
|
52 |
+
- 2
|
53 |
+
- 5
|
54 |
+
9:
|
55 |
+
1: transformers_trainer
|
56 |
+
13: linux-x86_64
|
57 |
+
m:
|
58 |
+
- 1: train/global_step
|
59 |
+
6:
|
60 |
+
- 3
|
61 |
+
- 1: train/loss
|
62 |
+
5: 1
|
63 |
+
6:
|
64 |
+
- 1
|
65 |
+
- 1: train/grad_norm
|
66 |
+
5: 1
|
67 |
+
6:
|
68 |
+
- 1
|
69 |
+
- 1: train/learning_rate
|
70 |
+
5: 1
|
71 |
+
6:
|
72 |
+
- 1
|
73 |
+
- 1: train/epoch
|
74 |
+
5: 1
|
75 |
+
6:
|
76 |
+
- 1
|
77 |
+
- 1: eval/loss
|
78 |
+
5: 1
|
79 |
+
6:
|
80 |
+
- 1
|
81 |
+
- 1: eval/runtime
|
82 |
+
5: 1
|
83 |
+
6:
|
84 |
+
- 1
|
85 |
+
- 1: eval/samples_per_second
|
86 |
+
5: 1
|
87 |
+
6:
|
88 |
+
- 1
|
89 |
+
- 1: eval/steps_per_second
|
90 |
+
5: 1
|
91 |
+
6:
|
92 |
+
- 1
|
93 |
+
- 1: train/train_runtime
|
94 |
+
5: 1
|
95 |
+
6:
|
96 |
+
- 1
|
97 |
+
- 1: train/train_samples_per_second
|
98 |
+
5: 1
|
99 |
+
6:
|
100 |
+
- 1
|
101 |
+
- 1: train/train_steps_per_second
|
102 |
+
5: 1
|
103 |
+
6:
|
104 |
+
- 1
|
105 |
+
- 1: train/total_flos
|
106 |
+
5: 1
|
107 |
+
6:
|
108 |
+
- 1
|
109 |
+
- 1: train/train_loss
|
110 |
+
5: 1
|
111 |
+
6:
|
112 |
+
- 1
|
113 |
+
vocab_size:
|
114 |
+
desc: null
|
115 |
+
value: 32000
|
116 |
+
max_position_embeddings:
|
117 |
+
desc: null
|
118 |
+
value: 32768
|
119 |
+
hidden_size:
|
120 |
+
desc: null
|
121 |
+
value: 4096
|
122 |
+
intermediate_size:
|
123 |
+
desc: null
|
124 |
+
value: 14336
|
125 |
+
num_hidden_layers:
|
126 |
+
desc: null
|
127 |
+
value: 32
|
128 |
+
num_attention_heads:
|
129 |
+
desc: null
|
130 |
+
value: 32
|
131 |
+
sliding_window:
|
132 |
+
desc: null
|
133 |
+
value: null
|
134 |
+
num_key_value_heads:
|
135 |
+
desc: null
|
136 |
+
value: 8
|
137 |
+
hidden_act:
|
138 |
+
desc: null
|
139 |
+
value: silu
|
140 |
+
initializer_range:
|
141 |
+
desc: null
|
142 |
+
value: 0.02
|
143 |
+
rms_norm_eps:
|
144 |
+
desc: null
|
145 |
+
value: 1.0e-05
|
146 |
+
use_cache:
|
147 |
+
desc: null
|
148 |
+
value: false
|
149 |
+
rope_theta:
|
150 |
+
desc: null
|
151 |
+
value: 1000000.0
|
152 |
+
attention_dropout:
|
153 |
+
desc: null
|
154 |
+
value: 0.0
|
155 |
+
return_dict:
|
156 |
+
desc: null
|
157 |
+
value: true
|
158 |
+
output_hidden_states:
|
159 |
+
desc: null
|
160 |
+
value: false
|
161 |
+
output_attentions:
|
162 |
+
desc: null
|
163 |
+
value: false
|
164 |
+
torchscript:
|
165 |
+
desc: null
|
166 |
+
value: false
|
167 |
+
torch_dtype:
|
168 |
+
desc: null
|
169 |
+
value: bfloat16
|
170 |
+
use_bfloat16:
|
171 |
+
desc: null
|
172 |
+
value: false
|
173 |
+
tf_legacy_loss:
|
174 |
+
desc: null
|
175 |
+
value: false
|
176 |
+
pruned_heads:
|
177 |
+
desc: null
|
178 |
+
value: {}
|
179 |
+
tie_word_embeddings:
|
180 |
+
desc: null
|
181 |
+
value: false
|
182 |
+
chunk_size_feed_forward:
|
183 |
+
desc: null
|
184 |
+
value: 0
|
185 |
+
is_encoder_decoder:
|
186 |
+
desc: null
|
187 |
+
value: false
|
188 |
+
is_decoder:
|
189 |
+
desc: null
|
190 |
+
value: false
|
191 |
+
cross_attention_hidden_size:
|
192 |
+
desc: null
|
193 |
+
value: null
|
194 |
+
add_cross_attention:
|
195 |
+
desc: null
|
196 |
+
value: false
|
197 |
+
tie_encoder_decoder:
|
198 |
+
desc: null
|
199 |
+
value: false
|
200 |
+
max_length:
|
201 |
+
desc: null
|
202 |
+
value: 20
|
203 |
+
min_length:
|
204 |
+
desc: null
|
205 |
+
value: 0
|
206 |
+
do_sample:
|
207 |
+
desc: null
|
208 |
+
value: false
|
209 |
+
early_stopping:
|
210 |
+
desc: null
|
211 |
+
value: false
|
212 |
+
num_beams:
|
213 |
+
desc: null
|
214 |
+
value: 1
|
215 |
+
num_beam_groups:
|
216 |
+
desc: null
|
217 |
+
value: 1
|
218 |
+
diversity_penalty:
|
219 |
+
desc: null
|
220 |
+
value: 0.0
|
221 |
+
temperature:
|
222 |
+
desc: null
|
223 |
+
value: 1.0
|
224 |
+
top_k:
|
225 |
+
desc: null
|
226 |
+
value: 50
|
227 |
+
top_p:
|
228 |
+
desc: null
|
229 |
+
value: 1.0
|
230 |
+
typical_p:
|
231 |
+
desc: null
|
232 |
+
value: 1.0
|
233 |
+
repetition_penalty:
|
234 |
+
desc: null
|
235 |
+
value: 1.0
|
236 |
+
length_penalty:
|
237 |
+
desc: null
|
238 |
+
value: 1.0
|
239 |
+
no_repeat_ngram_size:
|
240 |
+
desc: null
|
241 |
+
value: 0
|
242 |
+
encoder_no_repeat_ngram_size:
|
243 |
+
desc: null
|
244 |
+
value: 0
|
245 |
+
bad_words_ids:
|
246 |
+
desc: null
|
247 |
+
value: null
|
248 |
+
num_return_sequences:
|
249 |
+
desc: null
|
250 |
+
value: 1
|
251 |
+
output_scores:
|
252 |
+
desc: null
|
253 |
+
value: false
|
254 |
+
return_dict_in_generate:
|
255 |
+
desc: null
|
256 |
+
value: false
|
257 |
+
forced_bos_token_id:
|
258 |
+
desc: null
|
259 |
+
value: null
|
260 |
+
forced_eos_token_id:
|
261 |
+
desc: null
|
262 |
+
value: null
|
263 |
+
remove_invalid_values:
|
264 |
+
desc: null
|
265 |
+
value: false
|
266 |
+
exponential_decay_length_penalty:
|
267 |
+
desc: null
|
268 |
+
value: null
|
269 |
+
suppress_tokens:
|
270 |
+
desc: null
|
271 |
+
value: null
|
272 |
+
begin_suppress_tokens:
|
273 |
+
desc: null
|
274 |
+
value: null
|
275 |
+
architectures:
|
276 |
+
desc: null
|
277 |
+
value:
|
278 |
+
- MistralForCausalLM
|
279 |
+
finetuning_task:
|
280 |
+
desc: null
|
281 |
+
value: null
|
282 |
+
id2label:
|
283 |
+
desc: null
|
284 |
+
value:
|
285 |
+
'0': LABEL_0
|
286 |
+
'1': LABEL_1
|
287 |
+
label2id:
|
288 |
+
desc: null
|
289 |
+
value:
|
290 |
+
LABEL_0: 0
|
291 |
+
LABEL_1: 1
|
292 |
+
tokenizer_class:
|
293 |
+
desc: null
|
294 |
+
value: null
|
295 |
+
prefix:
|
296 |
+
desc: null
|
297 |
+
value: null
|
298 |
+
bos_token_id:
|
299 |
+
desc: null
|
300 |
+
value: 1
|
301 |
+
pad_token_id:
|
302 |
+
desc: null
|
303 |
+
value: 0
|
304 |
+
eos_token_id:
|
305 |
+
desc: null
|
306 |
+
value: 2
|
307 |
+
sep_token_id:
|
308 |
+
desc: null
|
309 |
+
value: null
|
310 |
+
decoder_start_token_id:
|
311 |
+
desc: null
|
312 |
+
value: null
|
313 |
+
task_specific_params:
|
314 |
+
desc: null
|
315 |
+
value: null
|
316 |
+
problem_type:
|
317 |
+
desc: null
|
318 |
+
value: null
|
319 |
+
_name_or_path:
|
320 |
+
desc: null
|
321 |
+
value: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
|
322 |
+
transformers_version:
|
323 |
+
desc: null
|
324 |
+
value: 4.38.2
|
325 |
+
model_type:
|
326 |
+
desc: null
|
327 |
+
value: mistral
|
328 |
+
pretraining_tp:
|
329 |
+
desc: null
|
330 |
+
value: 1
|
331 |
+
quantization_config:
|
332 |
+
desc: null
|
333 |
+
value:
|
334 |
+
quant_method: QuantizationMethod.GPTQ
|
335 |
+
bits: 4
|
336 |
+
tokenizer: null
|
337 |
+
dataset: null
|
338 |
+
group_size: 128
|
339 |
+
damp_percent: 0.1
|
340 |
+
desc_act: true
|
341 |
+
sym: true
|
342 |
+
true_sequential: true
|
343 |
+
use_cuda_fp16: false
|
344 |
+
model_seqlen: null
|
345 |
+
block_name_to_quantize: null
|
346 |
+
module_name_preceding_first_block: null
|
347 |
+
batch_size: 1
|
348 |
+
pad_token_id: null
|
349 |
+
use_exllama: true
|
350 |
+
max_input_length: null
|
351 |
+
exllama_config:
|
352 |
+
version: ExllamaVersion.ONE
|
353 |
+
cache_block_outputs: true
|
354 |
+
modules_in_block_to_quantize: null
|
355 |
+
output_dir:
|
356 |
+
desc: null
|
357 |
+
value: /kaggle/working/
|
358 |
+
overwrite_output_dir:
|
359 |
+
desc: null
|
360 |
+
value: false
|
361 |
+
do_train:
|
362 |
+
desc: null
|
363 |
+
value: false
|
364 |
+
do_eval:
|
365 |
+
desc: null
|
366 |
+
value: true
|
367 |
+
do_predict:
|
368 |
+
desc: null
|
369 |
+
value: false
|
370 |
+
evaluation_strategy:
|
371 |
+
desc: null
|
372 |
+
value: epoch
|
373 |
+
prediction_loss_only:
|
374 |
+
desc: null
|
375 |
+
value: false
|
376 |
+
per_device_train_batch_size:
|
377 |
+
desc: null
|
378 |
+
value: 6
|
379 |
+
per_device_eval_batch_size:
|
380 |
+
desc: null
|
381 |
+
value: 6
|
382 |
+
per_gpu_train_batch_size:
|
383 |
+
desc: null
|
384 |
+
value: null
|
385 |
+
per_gpu_eval_batch_size:
|
386 |
+
desc: null
|
387 |
+
value: null
|
388 |
+
gradient_accumulation_steps:
|
389 |
+
desc: null
|
390 |
+
value: 4
|
391 |
+
eval_accumulation_steps:
|
392 |
+
desc: null
|
393 |
+
value: null
|
394 |
+
eval_delay:
|
395 |
+
desc: null
|
396 |
+
value: 0
|
397 |
+
learning_rate:
|
398 |
+
desc: null
|
399 |
+
value: 0.0002
|
400 |
+
weight_decay:
|
401 |
+
desc: null
|
402 |
+
value: 0.01
|
403 |
+
adam_beta1:
|
404 |
+
desc: null
|
405 |
+
value: 0.9
|
406 |
+
adam_beta2:
|
407 |
+
desc: null
|
408 |
+
value: 0.999
|
409 |
+
adam_epsilon:
|
410 |
+
desc: null
|
411 |
+
value: 1.0e-08
|
412 |
+
max_grad_norm:
|
413 |
+
desc: null
|
414 |
+
value: 1.0
|
415 |
+
num_train_epochs:
|
416 |
+
desc: null
|
417 |
+
value: 50
|
418 |
+
max_steps:
|
419 |
+
desc: null
|
420 |
+
value: -1
|
421 |
+
lr_scheduler_type:
|
422 |
+
desc: null
|
423 |
+
value: linear
|
424 |
+
lr_scheduler_kwargs:
|
425 |
+
desc: null
|
426 |
+
value: {}
|
427 |
+
warmup_ratio:
|
428 |
+
desc: null
|
429 |
+
value: 0.0
|
430 |
+
warmup_steps:
|
431 |
+
desc: null
|
432 |
+
value: 2
|
433 |
+
log_level:
|
434 |
+
desc: null
|
435 |
+
value: passive
|
436 |
+
log_level_replica:
|
437 |
+
desc: null
|
438 |
+
value: warning
|
439 |
+
log_on_each_node:
|
440 |
+
desc: null
|
441 |
+
value: true
|
442 |
+
logging_dir:
|
443 |
+
desc: null
|
444 |
+
value: /kaggle/working/runs/Apr01_06-53-57_e5cddbcf0d54
|
445 |
+
logging_strategy:
|
446 |
+
desc: null
|
447 |
+
value: epoch
|
448 |
+
logging_first_step:
|
449 |
+
desc: null
|
450 |
+
value: false
|
451 |
+
logging_steps:
|
452 |
+
desc: null
|
453 |
+
value: 500
|
454 |
+
logging_nan_inf_filter:
|
455 |
+
desc: null
|
456 |
+
value: true
|
457 |
+
save_strategy:
|
458 |
+
desc: null
|
459 |
+
value: epoch
|
460 |
+
save_steps:
|
461 |
+
desc: null
|
462 |
+
value: 500
|
463 |
+
save_total_limit:
|
464 |
+
desc: null
|
465 |
+
value: null
|
466 |
+
save_safetensors:
|
467 |
+
desc: null
|
468 |
+
value: true
|
469 |
+
save_on_each_node:
|
470 |
+
desc: null
|
471 |
+
value: false
|
472 |
+
save_only_model:
|
473 |
+
desc: null
|
474 |
+
value: false
|
475 |
+
no_cuda:
|
476 |
+
desc: null
|
477 |
+
value: false
|
478 |
+
use_cpu:
|
479 |
+
desc: null
|
480 |
+
value: false
|
481 |
+
use_mps_device:
|
482 |
+
desc: null
|
483 |
+
value: false
|
484 |
+
seed:
|
485 |
+
desc: null
|
486 |
+
value: 42
|
487 |
+
data_seed:
|
488 |
+
desc: null
|
489 |
+
value: null
|
490 |
+
jit_mode_eval:
|
491 |
+
desc: null
|
492 |
+
value: false
|
493 |
+
use_ipex:
|
494 |
+
desc: null
|
495 |
+
value: false
|
496 |
+
bf16:
|
497 |
+
desc: null
|
498 |
+
value: false
|
499 |
+
fp16:
|
500 |
+
desc: null
|
501 |
+
value: true
|
502 |
+
fp16_opt_level:
|
503 |
+
desc: null
|
504 |
+
value: O1
|
505 |
+
half_precision_backend:
|
506 |
+
desc: null
|
507 |
+
value: auto
|
508 |
+
bf16_full_eval:
|
509 |
+
desc: null
|
510 |
+
value: false
|
511 |
+
fp16_full_eval:
|
512 |
+
desc: null
|
513 |
+
value: false
|
514 |
+
tf32:
|
515 |
+
desc: null
|
516 |
+
value: null
|
517 |
+
local_rank:
|
518 |
+
desc: null
|
519 |
+
value: 0
|
520 |
+
ddp_backend:
|
521 |
+
desc: null
|
522 |
+
value: null
|
523 |
+
tpu_num_cores:
|
524 |
+
desc: null
|
525 |
+
value: null
|
526 |
+
tpu_metrics_debug:
|
527 |
+
desc: null
|
528 |
+
value: false
|
529 |
+
debug:
|
530 |
+
desc: null
|
531 |
+
value: []
|
532 |
+
dataloader_drop_last:
|
533 |
+
desc: null
|
534 |
+
value: false
|
535 |
+
eval_steps:
|
536 |
+
desc: null
|
537 |
+
value: null
|
538 |
+
dataloader_num_workers:
|
539 |
+
desc: null
|
540 |
+
value: 0
|
541 |
+
dataloader_prefetch_factor:
|
542 |
+
desc: null
|
543 |
+
value: null
|
544 |
+
past_index:
|
545 |
+
desc: null
|
546 |
+
value: -1
|
547 |
+
run_name:
|
548 |
+
desc: null
|
549 |
+
value: /kaggle/working/
|
550 |
+
disable_tqdm:
|
551 |
+
desc: null
|
552 |
+
value: false
|
553 |
+
remove_unused_columns:
|
554 |
+
desc: null
|
555 |
+
value: true
|
556 |
+
label_names:
|
557 |
+
desc: null
|
558 |
+
value: null
|
559 |
+
load_best_model_at_end:
|
560 |
+
desc: null
|
561 |
+
value: true
|
562 |
+
metric_for_best_model:
|
563 |
+
desc: null
|
564 |
+
value: loss
|
565 |
+
greater_is_better:
|
566 |
+
desc: null
|
567 |
+
value: false
|
568 |
+
ignore_data_skip:
|
569 |
+
desc: null
|
570 |
+
value: false
|
571 |
+
fsdp:
|
572 |
+
desc: null
|
573 |
+
value: []
|
574 |
+
fsdp_min_num_params:
|
575 |
+
desc: null
|
576 |
+
value: 0
|
577 |
+
fsdp_config:
|
578 |
+
desc: null
|
579 |
+
value:
|
580 |
+
min_num_params: 0
|
581 |
+
xla: false
|
582 |
+
xla_fsdp_v2: false
|
583 |
+
xla_fsdp_grad_ckpt: false
|
584 |
+
fsdp_transformer_layer_cls_to_wrap:
|
585 |
+
desc: null
|
586 |
+
value: null
|
587 |
+
accelerator_config:
|
588 |
+
desc: null
|
589 |
+
value:
|
590 |
+
split_batches: false
|
591 |
+
dispatch_batches: null
|
592 |
+
even_batches: true
|
593 |
+
use_seedable_sampler: true
|
594 |
+
deepspeed:
|
595 |
+
desc: null
|
596 |
+
value: null
|
597 |
+
label_smoothing_factor:
|
598 |
+
desc: null
|
599 |
+
value: 0.0
|
600 |
+
optim:
|
601 |
+
desc: null
|
602 |
+
value: paged_adamw_8bit
|
603 |
+
optim_args:
|
604 |
+
desc: null
|
605 |
+
value: null
|
606 |
+
adafactor:
|
607 |
+
desc: null
|
608 |
+
value: false
|
609 |
+
group_by_length:
|
610 |
+
desc: null
|
611 |
+
value: false
|
612 |
+
length_column_name:
|
613 |
+
desc: null
|
614 |
+
value: length
|
615 |
+
report_to:
|
616 |
+
desc: null
|
617 |
+
value:
|
618 |
+
- tensorboard
|
619 |
+
- wandb
|
620 |
+
ddp_find_unused_parameters:
|
621 |
+
desc: null
|
622 |
+
value: null
|
623 |
+
ddp_bucket_cap_mb:
|
624 |
+
desc: null
|
625 |
+
value: null
|
626 |
+
ddp_broadcast_buffers:
|
627 |
+
desc: null
|
628 |
+
value: null
|
629 |
+
dataloader_pin_memory:
|
630 |
+
desc: null
|
631 |
+
value: true
|
632 |
+
dataloader_persistent_workers:
|
633 |
+
desc: null
|
634 |
+
value: false
|
635 |
+
skip_memory_metrics:
|
636 |
+
desc: null
|
637 |
+
value: true
|
638 |
+
use_legacy_prediction_loop:
|
639 |
+
desc: null
|
640 |
+
value: false
|
641 |
+
push_to_hub:
|
642 |
+
desc: null
|
643 |
+
value: false
|
644 |
+
resume_from_checkpoint:
|
645 |
+
desc: null
|
646 |
+
value: null
|
647 |
+
hub_model_id:
|
648 |
+
desc: null
|
649 |
+
value: null
|
650 |
+
hub_strategy:
|
651 |
+
desc: null
|
652 |
+
value: every_save
|
653 |
+
hub_token:
|
654 |
+
desc: null
|
655 |
+
value: <HUB_TOKEN>
|
656 |
+
hub_private_repo:
|
657 |
+
desc: null
|
658 |
+
value: false
|
659 |
+
hub_always_push:
|
660 |
+
desc: null
|
661 |
+
value: false
|
662 |
+
gradient_checkpointing:
|
663 |
+
desc: null
|
664 |
+
value: false
|
665 |
+
gradient_checkpointing_kwargs:
|
666 |
+
desc: null
|
667 |
+
value: null
|
668 |
+
include_inputs_for_metrics:
|
669 |
+
desc: null
|
670 |
+
value: false
|
671 |
+
fp16_backend:
|
672 |
+
desc: null
|
673 |
+
value: auto
|
674 |
+
push_to_hub_model_id:
|
675 |
+
desc: null
|
676 |
+
value: null
|
677 |
+
push_to_hub_organization:
|
678 |
+
desc: null
|
679 |
+
value: null
|
680 |
+
push_to_hub_token:
|
681 |
+
desc: null
|
682 |
+
value: <PUSH_TO_HUB_TOKEN>
|
683 |
+
mp_parameters:
|
684 |
+
desc: null
|
685 |
+
value: ''
|
686 |
+
auto_find_batch_size:
|
687 |
+
desc: null
|
688 |
+
value: false
|
689 |
+
full_determinism:
|
690 |
+
desc: null
|
691 |
+
value: false
|
692 |
+
torchdynamo:
|
693 |
+
desc: null
|
694 |
+
value: null
|
695 |
+
ray_scope:
|
696 |
+
desc: null
|
697 |
+
value: last
|
698 |
+
ddp_timeout:
|
699 |
+
desc: null
|
700 |
+
value: 1800
|
701 |
+
torch_compile:
|
702 |
+
desc: null
|
703 |
+
value: false
|
704 |
+
torch_compile_backend:
|
705 |
+
desc: null
|
706 |
+
value: null
|
707 |
+
torch_compile_mode:
|
708 |
+
desc: null
|
709 |
+
value: null
|
710 |
+
dispatch_batches:
|
711 |
+
desc: null
|
712 |
+
value: null
|
713 |
+
split_batches:
|
714 |
+
desc: null
|
715 |
+
value: null
|
716 |
+
include_tokens_per_second:
|
717 |
+
desc: null
|
718 |
+
value: false
|
719 |
+
include_num_input_tokens_seen:
|
720 |
+
desc: null
|
721 |
+
value: false
|
722 |
+
neftune_noise_alpha:
|
723 |
+
desc: null
|
724 |
+
value: null
|
wandb/run-20240401_065413-yzd7dxs3/files/output.log
ADDED
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
2 |
+
warnings.warn(
|
3 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
4 |
+
warnings.warn(
|
5 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
6 |
+
warnings.warn(
|
7 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
8 |
+
warnings.warn(
|
9 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
10 |
+
warnings.warn(
|
11 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
12 |
+
warnings.warn(
|
13 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
14 |
+
warnings.warn(
|
15 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
16 |
+
warnings.warn(
|
17 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
18 |
+
warnings.warn(
|
19 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
20 |
+
warnings.warn(
|
21 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
22 |
+
warnings.warn(
|
23 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
24 |
+
warnings.warn(
|
25 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
26 |
+
warnings.warn(
|
27 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
28 |
+
warnings.warn(
|
29 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
30 |
+
warnings.warn(
|
31 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
32 |
+
warnings.warn(
|
33 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
34 |
+
warnings.warn(
|
35 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
36 |
+
warnings.warn(
|
37 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
38 |
+
warnings.warn(
|
39 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
40 |
+
warnings.warn(
|
41 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
42 |
+
warnings.warn(
|
43 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
44 |
+
warnings.warn(
|
45 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
46 |
+
warnings.warn(
|
47 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
48 |
+
warnings.warn(
|
49 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
50 |
+
warnings.warn(
|
51 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
52 |
+
warnings.warn(
|
53 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
54 |
+
warnings.warn(
|
55 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
56 |
+
warnings.warn(
|
57 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
58 |
+
warnings.warn(
|
59 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
60 |
+
warnings.warn(
|
61 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
62 |
+
warnings.warn(
|
63 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
64 |
+
warnings.warn(
|
65 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
66 |
+
warnings.warn(
|
67 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
68 |
+
warnings.warn(
|
69 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
70 |
+
warnings.warn(
|
71 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
72 |
+
warnings.warn(
|
73 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
74 |
+
warnings.warn(
|
75 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
76 |
+
warnings.warn(
|
77 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
78 |
+
warnings.warn(
|
79 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
80 |
+
warnings.warn(
|
81 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
82 |
+
warnings.warn(
|
83 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
84 |
+
warnings.warn(
|
85 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
86 |
+
warnings.warn(
|
87 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
88 |
+
warnings.warn(
|
89 |
+
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
|
wandb/run-20240401_065413-yzd7dxs3/files/requirements.txt
ADDED
@@ -0,0 +1,880 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Babel==2.14.0
|
2 |
+
Boruta==0.3
|
3 |
+
Brotli==1.0.9
|
4 |
+
CVXcanon==0.1.2
|
5 |
+
Cartopy==0.22.0
|
6 |
+
Cython==3.0.8
|
7 |
+
Deprecated==1.2.14
|
8 |
+
Farama-Notifications==0.0.4
|
9 |
+
Flask==3.0.2
|
10 |
+
Geohash==1.0
|
11 |
+
GitPython==3.1.41
|
12 |
+
ImageHash==4.3.1
|
13 |
+
Janome==0.5.0
|
14 |
+
Jinja2==3.1.2
|
15 |
+
Levenshtein==0.25.0
|
16 |
+
LunarCalendar==0.0.9
|
17 |
+
Mako==1.3.2
|
18 |
+
Markdown==3.5.2
|
19 |
+
MarkupSafe==2.1.3
|
20 |
+
MarkupSafe==2.1.5
|
21 |
+
Pillow==9.5.0
|
22 |
+
PuLP==2.8.0
|
23 |
+
PyArabic==0.6.15
|
24 |
+
PyAstronomy==0.21.0
|
25 |
+
PyJWT==2.8.0
|
26 |
+
PyMeeus==0.5.12
|
27 |
+
PySocks==1.7.1
|
28 |
+
PyUpSet==0.1.1.post7
|
29 |
+
PyWavelets==1.5.0
|
30 |
+
PyYAML==6.0.1
|
31 |
+
Pygments==2.17.2
|
32 |
+
Pympler==1.0.1
|
33 |
+
QtPy==2.4.1
|
34 |
+
Rtree==1.2.0
|
35 |
+
SQLAlchemy==2.0.25
|
36 |
+
SecretStorage==3.3.3
|
37 |
+
Send2Trash==1.8.2
|
38 |
+
Shapely==1.8.5.post1
|
39 |
+
Shimmy==1.3.0
|
40 |
+
SimpleITK==2.3.1
|
41 |
+
TPOT==0.12.1
|
42 |
+
Theano-PyMC==1.1.2
|
43 |
+
Theano==1.0.5
|
44 |
+
Unidecode==1.3.8
|
45 |
+
Wand==0.6.13
|
46 |
+
Werkzeug==3.0.1
|
47 |
+
absl-py==1.4.0
|
48 |
+
accelerate==0.28.0
|
49 |
+
access==1.1.9
|
50 |
+
affine==2.4.0
|
51 |
+
aiobotocore==2.12.1
|
52 |
+
aiofiles==22.1.0
|
53 |
+
aiohttp-cors==0.7.0
|
54 |
+
aiohttp==3.9.1
|
55 |
+
aioitertools==0.11.0
|
56 |
+
aiorwlock==1.3.0
|
57 |
+
aiosignal==1.3.1
|
58 |
+
aiosqlite==0.19.0
|
59 |
+
albumentations==1.4.0
|
60 |
+
alembic==1.13.1
|
61 |
+
altair==5.2.0
|
62 |
+
annotated-types==0.6.0
|
63 |
+
annoy==1.17.3
|
64 |
+
anyio==4.2.0
|
65 |
+
apache-beam==2.46.0
|
66 |
+
aplus==0.11.0
|
67 |
+
appdirs==1.4.4
|
68 |
+
archspec==0.2.2
|
69 |
+
argon2-cffi-bindings==21.2.0
|
70 |
+
argon2-cffi==23.1.0
|
71 |
+
array-record==0.5.0
|
72 |
+
arrow==1.3.0
|
73 |
+
arviz==0.17.1
|
74 |
+
astroid==3.0.3
|
75 |
+
astropy-iers-data==0.2024.3.18.0.29.47
|
76 |
+
astropy==6.0.0
|
77 |
+
asttokens==2.4.1
|
78 |
+
astunparse==1.6.3
|
79 |
+
async-lru==2.0.4
|
80 |
+
async-timeout==4.0.3
|
81 |
+
attrs==23.2.0
|
82 |
+
audioread==3.0.1
|
83 |
+
auto_gptq==0.7.1
|
84 |
+
autopep8==2.0.4
|
85 |
+
backoff==2.2.1
|
86 |
+
bayesian-optimization==1.4.3
|
87 |
+
beatrix_jupyterlab==2023.128.151533
|
88 |
+
beautifulsoup4==4.12.2
|
89 |
+
bidict==0.23.1
|
90 |
+
bitsandbytes==0.43.0
|
91 |
+
blake3==0.2.1
|
92 |
+
bleach==6.1.0
|
93 |
+
blessed==1.20.0
|
94 |
+
blinker==1.7.0
|
95 |
+
blis==0.7.10
|
96 |
+
blosc2==2.5.1
|
97 |
+
bokeh==3.3.4
|
98 |
+
boltons==23.1.1
|
99 |
+
boto3==1.26.100
|
100 |
+
botocore==1.34.51
|
101 |
+
bq_helper==0.4.1
|
102 |
+
bqplot==0.12.43
|
103 |
+
branca==0.7.1
|
104 |
+
brewer2mpl==1.4.1
|
105 |
+
brotlipy==0.7.0
|
106 |
+
cached-property==1.5.2
|
107 |
+
cachetools==4.2.4
|
108 |
+
cachetools==5.3.2
|
109 |
+
catalogue==2.0.10
|
110 |
+
catalyst==22.4
|
111 |
+
catboost==1.2.3
|
112 |
+
category-encoders==2.6.3
|
113 |
+
certifi==2024.2.2
|
114 |
+
cesium==0.12.1
|
115 |
+
cffi==1.16.0
|
116 |
+
charset-normalizer==3.3.2
|
117 |
+
chex==0.1.85
|
118 |
+
cleverhans==4.0.0
|
119 |
+
click-plugins==1.1.1
|
120 |
+
click==8.1.7
|
121 |
+
cligj==0.7.2
|
122 |
+
cloud-tpu-client==0.10
|
123 |
+
cloud-tpu-profiler==2.4.0
|
124 |
+
cloudpathlib==0.16.0
|
125 |
+
cloudpickle==2.2.1
|
126 |
+
cloudpickle==3.0.0
|
127 |
+
cmdstanpy==1.2.1
|
128 |
+
cmudict==1.0.21
|
129 |
+
colorama==0.4.6
|
130 |
+
colorcet==3.1.0
|
131 |
+
coloredlogs==15.0.1
|
132 |
+
colorful==0.5.6
|
133 |
+
colorlog==6.8.2
|
134 |
+
colorlover==0.3.0
|
135 |
+
comm==0.2.1
|
136 |
+
conda-libmamba-solver==23.7.0
|
137 |
+
conda-package-handling==2.2.0
|
138 |
+
conda==23.7.4
|
139 |
+
conda_package_streaming==0.9.0
|
140 |
+
confection==0.1.4
|
141 |
+
contextily==1.5.2
|
142 |
+
contourpy==1.2.0
|
143 |
+
convertdate==2.4.0
|
144 |
+
crcmod==1.7
|
145 |
+
cryptography==41.0.7
|
146 |
+
cuda-python==12.4.0
|
147 |
+
cudf==23.8.0
|
148 |
+
cufflinks==0.17.3
|
149 |
+
cuml==23.8.0
|
150 |
+
cupy==13.0.0
|
151 |
+
cycler==0.12.1
|
152 |
+
cymem==2.0.8
|
153 |
+
cytoolz==0.12.3
|
154 |
+
daal4py==2024.1.0
|
155 |
+
daal==2024.1.0
|
156 |
+
dacite==1.8.1
|
157 |
+
dask-cuda==23.8.0
|
158 |
+
dask-cudf==23.8.0
|
159 |
+
dask-expr==1.0.4
|
160 |
+
dask==2024.3.1
|
161 |
+
dataclasses-json==0.6.4
|
162 |
+
dataproc_jupyter_plugin==0.1.66
|
163 |
+
datasets==2.1.0
|
164 |
+
datashader==0.16.0
|
165 |
+
datatile==1.0.3
|
166 |
+
db-dtypes==1.2.0
|
167 |
+
deap==1.4.1
|
168 |
+
debugpy==1.8.0
|
169 |
+
decorator==5.1.1
|
170 |
+
deepdiff==6.7.1
|
171 |
+
defusedxml==0.7.1
|
172 |
+
deprecation==2.1.0
|
173 |
+
descartes==1.1.0
|
174 |
+
dill==0.3.8
|
175 |
+
dipy==1.9.0
|
176 |
+
distlib==0.3.8
|
177 |
+
distributed==2023.7.1
|
178 |
+
distro==1.9.0
|
179 |
+
dm-tree==0.1.8
|
180 |
+
docker-pycreds==0.4.0
|
181 |
+
docker==7.0.0
|
182 |
+
docopt==0.6.2
|
183 |
+
docstring-parser==0.15
|
184 |
+
docstring-to-markdown==0.15
|
185 |
+
docutils==0.20.1
|
186 |
+
earthengine-api==0.1.394
|
187 |
+
easydict==1.13
|
188 |
+
easyocr==1.7.1
|
189 |
+
ecos==2.0.13
|
190 |
+
eli5==0.13.0
|
191 |
+
emoji==2.10.1
|
192 |
+
en-core-web-lg==3.7.1
|
193 |
+
en-core-web-sm==3.7.1
|
194 |
+
entrypoints==0.4
|
195 |
+
ephem==4.1.5
|
196 |
+
esda==2.5.1
|
197 |
+
essentia==2.1b6.dev1110
|
198 |
+
et-xmlfile==1.1.0
|
199 |
+
etils==1.6.0
|
200 |
+
exceptiongroup==1.2.0
|
201 |
+
executing==2.0.1
|
202 |
+
explainable-ai-sdk==1.3.3
|
203 |
+
fastai==2.7.14
|
204 |
+
fastapi==0.108.0
|
205 |
+
fastavro==1.9.3
|
206 |
+
fastcore==1.5.29
|
207 |
+
fastdownload==0.0.7
|
208 |
+
fasteners==0.19
|
209 |
+
fastjsonschema==2.19.1
|
210 |
+
fastprogress==1.0.3
|
211 |
+
fastrlock==0.8.2
|
212 |
+
fasttext==0.9.2
|
213 |
+
feather-format==0.4.1
|
214 |
+
featuretools==1.30.0
|
215 |
+
filelock==3.13.1
|
216 |
+
fiona==1.9.6
|
217 |
+
fitter==1.7.0
|
218 |
+
flake8==7.0.0
|
219 |
+
flashtext==2.7
|
220 |
+
flatbuffers==23.5.26
|
221 |
+
flax==0.8.2
|
222 |
+
folium==0.16.0
|
223 |
+
fonttools==4.47.0
|
224 |
+
fonttools==4.49.0
|
225 |
+
fqdn==1.5.1
|
226 |
+
frozendict==2.4.0
|
227 |
+
frozenlist==1.4.1
|
228 |
+
fsspec==2024.3.0
|
229 |
+
funcy==2.0
|
230 |
+
fury==0.10.0
|
231 |
+
future==1.0.0
|
232 |
+
fuzzywuzzy==0.18.0
|
233 |
+
gast==0.5.4
|
234 |
+
gatspy==0.3
|
235 |
+
gcsfs==2023.12.2.post1
|
236 |
+
gekko==1.1.0
|
237 |
+
gensim==4.3.2
|
238 |
+
geographiclib==2.0
|
239 |
+
geojson==3.1.0
|
240 |
+
geopandas==0.14.3
|
241 |
+
geoplot==0.5.1
|
242 |
+
geopy==2.4.1
|
243 |
+
geoviews==1.11.1
|
244 |
+
ggplot==0.11.5
|
245 |
+
giddy==2.3.5
|
246 |
+
gitdb==4.0.11
|
247 |
+
google-ai-generativelanguage==0.4.0
|
248 |
+
google-api-core==2.11.1
|
249 |
+
google-api-core==2.17.1
|
250 |
+
google-api-python-client==2.122.0
|
251 |
+
google-apitools==0.5.31
|
252 |
+
google-auth-httplib2==0.1.1
|
253 |
+
google-auth-oauthlib==1.2.0
|
254 |
+
google-auth==2.26.1
|
255 |
+
google-cloud-aiplatform==0.6.0a1
|
256 |
+
google-cloud-artifact-registry==1.10.0
|
257 |
+
google-cloud-automl==1.0.1
|
258 |
+
google-cloud-bigquery==2.34.4
|
259 |
+
google-cloud-bigtable==1.7.3
|
260 |
+
google-cloud-core==2.4.1
|
261 |
+
google-cloud-datastore==2.19.0
|
262 |
+
google-cloud-dlp==3.14.0
|
263 |
+
google-cloud-jupyter-config==0.0.5
|
264 |
+
google-cloud-language==2.13.3
|
265 |
+
google-cloud-monitoring==2.18.0
|
266 |
+
google-cloud-pubsub==2.19.0
|
267 |
+
google-cloud-pubsublite==1.9.0
|
268 |
+
google-cloud-recommendations-ai==0.7.1
|
269 |
+
google-cloud-resource-manager==1.11.0
|
270 |
+
google-cloud-spanner==3.40.1
|
271 |
+
google-cloud-storage==1.44.0
|
272 |
+
google-cloud-translate==3.12.1
|
273 |
+
google-cloud-videointelligence==2.13.3
|
274 |
+
google-cloud-vision==2.8.0
|
275 |
+
google-crc32c==1.5.0
|
276 |
+
google-generativeai==0.4.1
|
277 |
+
google-pasta==0.2.0
|
278 |
+
google-resumable-media==2.7.0
|
279 |
+
googleapis-common-protos==1.62.0
|
280 |
+
gplearn==0.4.2
|
281 |
+
gpustat==1.0.0
|
282 |
+
gpxpy==1.6.2
|
283 |
+
graphviz==0.20.2
|
284 |
+
greenlet==3.0.3
|
285 |
+
grpc-google-iam-v1==0.12.7
|
286 |
+
grpcio-status==1.48.1
|
287 |
+
grpcio-status==1.48.2
|
288 |
+
grpcio==1.51.1
|
289 |
+
grpcio==1.60.0
|
290 |
+
gviz-api==1.10.0
|
291 |
+
gym-notices==0.0.8
|
292 |
+
gym==0.26.2
|
293 |
+
gymnasium==0.29.0
|
294 |
+
h11==0.14.0
|
295 |
+
h2o==3.46.0.1
|
296 |
+
h5netcdf==1.3.0
|
297 |
+
h5py==3.10.0
|
298 |
+
haversine==2.8.1
|
299 |
+
hdfs==2.7.3
|
300 |
+
hep-ml==0.7.2
|
301 |
+
hijri-converter==2.3.1
|
302 |
+
hmmlearn==0.3.2
|
303 |
+
holidays==0.24
|
304 |
+
holoviews==1.18.3
|
305 |
+
hpsklearn==0.1.0
|
306 |
+
html5lib==1.1
|
307 |
+
htmlmin==0.1.12
|
308 |
+
httpcore==1.0.4
|
309 |
+
httplib2==0.21.0
|
310 |
+
httptools==0.6.1
|
311 |
+
httpx==0.27.0
|
312 |
+
huggingface-hub==0.21.4
|
313 |
+
humanfriendly==10.0
|
314 |
+
hunspell==0.5.5
|
315 |
+
husl==4.0.3
|
316 |
+
hydra-slayer==0.5.0
|
317 |
+
hyperopt==0.2.7
|
318 |
+
hypertools==0.8.0
|
319 |
+
idna==3.6
|
320 |
+
igraph==0.11.4
|
321 |
+
imagecodecs==2024.1.1
|
322 |
+
imageio==2.33.1
|
323 |
+
imbalanced-learn==0.12.0
|
324 |
+
imgaug==0.4.0
|
325 |
+
importlib-metadata==6.11.0
|
326 |
+
importlib-metadata==7.0.1
|
327 |
+
importlib-resources==6.1.1
|
328 |
+
inequality==1.0.1
|
329 |
+
iniconfig==2.0.0
|
330 |
+
ipydatawidgets==4.3.5
|
331 |
+
ipykernel==6.28.0
|
332 |
+
ipyleaflet==0.18.2
|
333 |
+
ipympl==0.7.0
|
334 |
+
ipython-genutils==0.2.0
|
335 |
+
ipython-genutils==0.2.0
|
336 |
+
ipython-sql==0.5.0
|
337 |
+
ipython==8.20.0
|
338 |
+
ipyvolume==0.6.3
|
339 |
+
ipyvue==1.10.2
|
340 |
+
ipyvuetify==1.9.2
|
341 |
+
ipywebrtc==0.6.0
|
342 |
+
ipywidgets==7.7.1
|
343 |
+
isoduration==20.11.0
|
344 |
+
isort==5.13.2
|
345 |
+
isoweek==1.3.3
|
346 |
+
itsdangerous==2.1.2
|
347 |
+
jaraco.classes==3.3.0
|
348 |
+
jax-jumpy==1.0.0
|
349 |
+
jax==0.4.23
|
350 |
+
jaxlib==0.4.23.dev20240116
|
351 |
+
jedi==0.19.1
|
352 |
+
jeepney==0.8.0
|
353 |
+
jieba==0.42.1
|
354 |
+
jmespath==1.0.1
|
355 |
+
joblib==1.3.2
|
356 |
+
json5==0.9.14
|
357 |
+
jsonpatch==1.33
|
358 |
+
jsonpointer==2.4
|
359 |
+
jsonschema-specifications==2023.12.1
|
360 |
+
jsonschema==4.20.0
|
361 |
+
jupyter-console==6.6.3
|
362 |
+
jupyter-events==0.9.0
|
363 |
+
jupyter-http-over-ws==0.0.8
|
364 |
+
jupyter-lsp==1.5.1
|
365 |
+
jupyter-server-mathjax==0.2.6
|
366 |
+
jupyter-ydoc==0.2.5
|
367 |
+
jupyter_client==7.4.9
|
368 |
+
jupyter_client==8.6.0
|
369 |
+
jupyter_core==5.7.1
|
370 |
+
jupyter_server==2.13.0
|
371 |
+
jupyter_server_fileid==0.9.1
|
372 |
+
jupyter_server_proxy==4.1.0
|
373 |
+
jupyter_server_terminals==0.5.1
|
374 |
+
jupyter_server_ydoc==0.8.0
|
375 |
+
jupyterlab-lsp==5.1.0
|
376 |
+
jupyterlab-widgets==3.0.9
|
377 |
+
jupyterlab==4.1.5
|
378 |
+
jupyterlab_git==0.44.0
|
379 |
+
jupyterlab_pygments==0.3.0
|
380 |
+
jupyterlab_server==2.25.2
|
381 |
+
jupytext==1.16.0
|
382 |
+
kaggle-environments==1.14.3
|
383 |
+
kaggle==1.6.6
|
384 |
+
kagglehub==0.2.0
|
385 |
+
keras-cv==0.8.2
|
386 |
+
keras-nlp==0.8.2
|
387 |
+
keras-tuner==1.4.6
|
388 |
+
keras==3.0.5
|
389 |
+
kernels-mixer==0.0.7
|
390 |
+
keyring==24.3.0
|
391 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
392 |
+
kfp-pipeline-spec==0.2.2
|
393 |
+
kfp-server-api==2.0.5
|
394 |
+
kfp==2.5.0
|
395 |
+
kiwisolver==1.4.5
|
396 |
+
kmapper==2.0.1
|
397 |
+
kmodes==0.12.2
|
398 |
+
korean-lunar-calendar==0.3.1
|
399 |
+
kornia==0.7.2
|
400 |
+
kornia_rs==0.1.2
|
401 |
+
kt-legacy==1.0.5
|
402 |
+
kubernetes==26.1.0
|
403 |
+
langcodes==3.3.0
|
404 |
+
langid==1.1.6
|
405 |
+
lazy_loader==0.3
|
406 |
+
learntools==0.3.4
|
407 |
+
leven==1.0.4
|
408 |
+
libclang==16.0.6
|
409 |
+
libmambapy==1.5.0
|
410 |
+
libpysal==4.9.2
|
411 |
+
librosa==0.10.1
|
412 |
+
lightgbm==4.2.0
|
413 |
+
lightning-utilities==0.10.1
|
414 |
+
lime==0.2.0.1
|
415 |
+
line-profiler==4.1.2
|
416 |
+
linkify-it-py==2.0.3
|
417 |
+
llvmlite==0.41.1
|
418 |
+
llvmlite==0.42.0
|
419 |
+
lml==0.1.0
|
420 |
+
locket==1.0.0
|
421 |
+
loguru==0.7.2
|
422 |
+
lxml==5.1.0
|
423 |
+
lz4==4.3.3
|
424 |
+
mamba==1.5.0
|
425 |
+
mapclassify==2.6.1
|
426 |
+
markdown-it-py==3.0.0
|
427 |
+
markovify==0.9.4
|
428 |
+
marshmallow==3.21.1
|
429 |
+
matplotlib-inline==0.1.6
|
430 |
+
matplotlib-venn==0.11.10
|
431 |
+
matplotlib==3.7.5
|
432 |
+
matplotlib==3.8.3
|
433 |
+
mccabe==0.7.0
|
434 |
+
mdit-py-plugins==0.4.0
|
435 |
+
mdurl==0.1.2
|
436 |
+
memory-profiler==0.61.0
|
437 |
+
menuinst==2.0.1
|
438 |
+
mercantile==1.2.1
|
439 |
+
mgwr==2.2.1
|
440 |
+
missingno==0.5.2
|
441 |
+
mistune==0.8.4
|
442 |
+
mizani==0.11.0
|
443 |
+
ml-dtypes==0.2.0
|
444 |
+
mlcrate==0.2.0
|
445 |
+
mlens==0.2.3
|
446 |
+
mlxtend==0.23.1
|
447 |
+
mmh3==4.1.0
|
448 |
+
mne==1.6.1
|
449 |
+
mnist==0.2.2
|
450 |
+
mock==5.1.0
|
451 |
+
momepy==0.7.0
|
452 |
+
more-itertools==10.2.0
|
453 |
+
mpld3==0.5.10
|
454 |
+
mpmath==1.3.0
|
455 |
+
msgpack-numpy==0.4.8
|
456 |
+
msgpack==1.0.7
|
457 |
+
multidict==6.0.4
|
458 |
+
multimethod==1.10
|
459 |
+
multipledispatch==1.0.0
|
460 |
+
multiprocess==0.70.16
|
461 |
+
munkres==1.1.4
|
462 |
+
murmurhash==1.0.10
|
463 |
+
mypy-extensions==1.0.0
|
464 |
+
namex==0.0.7
|
465 |
+
nb-conda-kernels==2.3.1
|
466 |
+
nb_conda==2.2.1
|
467 |
+
nbclassic==1.0.0
|
468 |
+
nbclient==0.5.13
|
469 |
+
nbconvert==6.4.5
|
470 |
+
nbdime==3.2.0
|
471 |
+
nbformat==5.9.2
|
472 |
+
ndindex==1.8
|
473 |
+
nest-asyncio==1.5.8
|
474 |
+
networkx==3.2.1
|
475 |
+
nibabel==5.2.1
|
476 |
+
nilearn==0.10.3
|
477 |
+
ninja==1.11.1.1
|
478 |
+
nltk==3.2.4
|
479 |
+
nose==1.3.7
|
480 |
+
notebook==6.5.4
|
481 |
+
notebook==6.5.6
|
482 |
+
notebook_executor==0.2
|
483 |
+
notebook_shim==0.2.3
|
484 |
+
numba==0.58.1
|
485 |
+
numba==0.59.0
|
486 |
+
numexpr==2.9.0
|
487 |
+
numpy==1.26.4
|
488 |
+
nvidia-ml-py==11.495.46
|
489 |
+
nvtx==0.2.10
|
490 |
+
oauth2client==4.1.3
|
491 |
+
oauthlib==3.2.2
|
492 |
+
objsize==0.6.1
|
493 |
+
odfpy==1.4.1
|
494 |
+
olefile==0.47
|
495 |
+
onnx==1.15.0
|
496 |
+
opencensus-context==0.1.3
|
497 |
+
opencensus==0.11.4
|
498 |
+
opencv-contrib-python==4.9.0.80
|
499 |
+
opencv-python-headless==4.9.0.80
|
500 |
+
opencv-python==4.9.0.80
|
501 |
+
openpyxl==3.1.2
|
502 |
+
openslide-python==1.3.1
|
503 |
+
opentelemetry-api==1.22.0
|
504 |
+
opentelemetry-exporter-otlp-proto-common==1.22.0
|
505 |
+
opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
506 |
+
opentelemetry-exporter-otlp-proto-http==1.22.0
|
507 |
+
opentelemetry-exporter-otlp==1.22.0
|
508 |
+
opentelemetry-proto==1.22.0
|
509 |
+
opentelemetry-sdk==1.22.0
|
510 |
+
opentelemetry-semantic-conventions==0.43b0
|
511 |
+
opt-einsum==3.3.0
|
512 |
+
optax==0.2.1
|
513 |
+
optimum==1.18.0
|
514 |
+
optuna==3.6.0
|
515 |
+
orbax-checkpoint==0.5.6
|
516 |
+
ordered-set==4.1.0
|
517 |
+
orjson==3.9.10
|
518 |
+
ortools==9.4.1874
|
519 |
+
osmnx==1.9.1
|
520 |
+
overrides==7.4.0
|
521 |
+
packaging==21.3
|
522 |
+
pandas-datareader==0.10.0
|
523 |
+
pandas-profiling==3.6.6
|
524 |
+
pandas-summary==0.2.0
|
525 |
+
pandas==2.1.4
|
526 |
+
pandas==2.2.1
|
527 |
+
pandasql==0.7.3
|
528 |
+
pandocfilters==1.5.0
|
529 |
+
panel==1.3.8
|
530 |
+
papermill==2.5.0
|
531 |
+
param==2.0.2
|
532 |
+
parso==0.8.3
|
533 |
+
partd==1.4.1
|
534 |
+
path.py==12.5.0
|
535 |
+
path==16.10.0
|
536 |
+
pathos==0.3.2
|
537 |
+
pathy==0.10.3
|
538 |
+
patsy==0.5.6
|
539 |
+
pdf2image==1.17.0
|
540 |
+
peft==0.10.0
|
541 |
+
pettingzoo==1.24.0
|
542 |
+
pexpect==4.8.0
|
543 |
+
pexpect==4.9.0
|
544 |
+
phik==0.12.4
|
545 |
+
pickleshare==0.7.5
|
546 |
+
pip==23.3.2
|
547 |
+
pkgutil_resolve_name==1.3.10
|
548 |
+
platformdirs==4.2.0
|
549 |
+
plotly-express==0.4.1
|
550 |
+
plotly==5.18.0
|
551 |
+
plotnine==0.13.2
|
552 |
+
pluggy==1.4.0
|
553 |
+
pointpats==2.4.0
|
554 |
+
polars==0.20.15
|
555 |
+
polyglot==16.7.4
|
556 |
+
pooch==1.8.1
|
557 |
+
pox==0.3.4
|
558 |
+
ppca==0.0.4
|
559 |
+
ppft==1.7.6.8
|
560 |
+
preprocessing==0.1.13
|
561 |
+
preshed==3.0.9
|
562 |
+
prettytable==3.9.0
|
563 |
+
progressbar2==4.4.2
|
564 |
+
prometheus-client==0.19.0
|
565 |
+
promise==2.3
|
566 |
+
prompt-toolkit==3.0.42
|
567 |
+
prompt-toolkit==3.0.43
|
568 |
+
pronouncing==0.2.0
|
569 |
+
prophet==1.1.1
|
570 |
+
proto-plus==1.23.0
|
571 |
+
protobuf==3.20.3
|
572 |
+
protobuf==4.21.12
|
573 |
+
psutil==5.9.3
|
574 |
+
psutil==5.9.7
|
575 |
+
ptyprocess==0.7.0
|
576 |
+
pudb==2024.1
|
577 |
+
pure-eval==0.2.2
|
578 |
+
py-cpuinfo==9.0.0
|
579 |
+
py-spy==0.3.14
|
580 |
+
py4j==0.10.9.7
|
581 |
+
pyLDAvis==3.4.1
|
582 |
+
pyOpenSSL==23.3.0
|
583 |
+
pyaml==23.12.0
|
584 |
+
pyarrow==11.0.0
|
585 |
+
pyasn1-modules==0.3.0
|
586 |
+
pyasn1==0.5.1
|
587 |
+
pybind11==2.11.1
|
588 |
+
pyclipper==1.3.0.post5
|
589 |
+
pycodestyle==2.11.1
|
590 |
+
pycosat==0.6.6
|
591 |
+
pycparser==2.21
|
592 |
+
pycryptodome==3.20.0
|
593 |
+
pyct==0.5.0
|
594 |
+
pycuda==2024.1
|
595 |
+
pydantic==2.5.3
|
596 |
+
pydantic==2.6.4
|
597 |
+
pydantic_core==2.14.6
|
598 |
+
pydantic_core==2.16.3
|
599 |
+
pydegensac==0.1.2
|
600 |
+
pydicom==2.4.4
|
601 |
+
pydocstyle==6.3.0
|
602 |
+
pydot==1.4.2
|
603 |
+
pydub==0.25.1
|
604 |
+
pyemd==1.0.0
|
605 |
+
pyerfa==2.0.1.1
|
606 |
+
pyexcel-io==0.6.6
|
607 |
+
pyexcel-ods==0.6.0
|
608 |
+
pyflakes==3.2.0
|
609 |
+
pygltflib==1.16.2
|
610 |
+
pykalman==0.9.5
|
611 |
+
pylibraft==23.8.0
|
612 |
+
pylint==3.0.4
|
613 |
+
pymc3==3.11.4
|
614 |
+
pymongo==3.13.0
|
615 |
+
pynndescent==0.5.11
|
616 |
+
pynvml==11.4.1
|
617 |
+
pynvrtc==9.2
|
618 |
+
pyocr==0.8.5
|
619 |
+
pyparsing==3.1.1
|
620 |
+
pyparsing==3.1.2
|
621 |
+
pypdf==4.1.0
|
622 |
+
pyproj==3.6.1
|
623 |
+
pysal==24.1
|
624 |
+
pyshp==2.3.1
|
625 |
+
pytesseract==0.3.10
|
626 |
+
pytest==8.1.1
|
627 |
+
python-Levenshtein==0.25.0
|
628 |
+
python-bidi==0.4.2
|
629 |
+
python-dateutil==2.9.0.post0
|
630 |
+
python-dotenv==1.0.0
|
631 |
+
python-json-logger==2.0.7
|
632 |
+
python-louvain==0.16
|
633 |
+
python-lsp-jsonrpc==1.1.2
|
634 |
+
python-lsp-server==1.10.1
|
635 |
+
python-slugify==8.0.4
|
636 |
+
python-utils==3.8.2
|
637 |
+
pythreejs==2.4.2
|
638 |
+
pytoolconfig==1.3.1
|
639 |
+
pytools==2023.1.1
|
640 |
+
pytorch-ignite==0.4.13
|
641 |
+
pytorch-lightning==2.2.1
|
642 |
+
pytz==2023.3.post1
|
643 |
+
pytz==2024.1
|
644 |
+
pyu2f==0.1.5
|
645 |
+
pyviz_comms==3.0.1
|
646 |
+
pyzmq==24.0.1
|
647 |
+
pyzmq==25.1.2
|
648 |
+
qgrid==1.3.1
|
649 |
+
qtconsole==5.5.1
|
650 |
+
quantecon==0.7.2
|
651 |
+
quantities==0.15.0
|
652 |
+
qudida==0.0.4
|
653 |
+
raft-dask==23.8.0
|
654 |
+
rapidfuzz==3.6.2
|
655 |
+
rasterio==1.3.9
|
656 |
+
rasterstats==0.19.0
|
657 |
+
ray-cpp==2.9.0
|
658 |
+
ray==2.9.0
|
659 |
+
referencing==0.32.1
|
660 |
+
regex==2023.12.25
|
661 |
+
requests-oauthlib==1.3.1
|
662 |
+
requests-toolbelt==0.10.1
|
663 |
+
requests==2.31.0
|
664 |
+
responses==0.18.0
|
665 |
+
retrying==1.3.3
|
666 |
+
retrying==1.3.4
|
667 |
+
rfc3339-validator==0.1.4
|
668 |
+
rfc3986-validator==0.1.1
|
669 |
+
rgf-python==3.12.0
|
670 |
+
rich-click==1.7.4
|
671 |
+
rich==13.7.0
|
672 |
+
rich==13.7.1
|
673 |
+
rmm==23.8.0
|
674 |
+
rope==1.12.0
|
675 |
+
rouge==1.0.1
|
676 |
+
rpds-py==0.16.2
|
677 |
+
rsa==4.9
|
678 |
+
ruamel-yaml-conda==0.15.100
|
679 |
+
ruamel.yaml.clib==0.2.7
|
680 |
+
ruamel.yaml==0.17.40
|
681 |
+
s2sphere==0.2.5
|
682 |
+
s3fs==2024.3.0
|
683 |
+
s3transfer==0.6.2
|
684 |
+
safetensors==0.4.2
|
685 |
+
scattertext==0.1.19
|
686 |
+
scikit-image==0.22.0
|
687 |
+
scikit-learn-intelex==2024.1.0
|
688 |
+
scikit-learn==1.2.2
|
689 |
+
scikit-multilearn==0.2.0
|
690 |
+
scikit-optimize==0.10.1
|
691 |
+
scikit-plot==0.3.7
|
692 |
+
scikit-surprise==1.1.3
|
693 |
+
scipy==1.11.4
|
694 |
+
scipy==1.12.0
|
695 |
+
seaborn==0.12.2
|
696 |
+
segment_anything==1.0
|
697 |
+
segregation==2.5
|
698 |
+
semver==3.0.2
|
699 |
+
sentencepiece==0.2.0
|
700 |
+
sentry-sdk==1.42.0
|
701 |
+
setproctitle==1.3.3
|
702 |
+
setuptools-git==1.2
|
703 |
+
setuptools-scm==8.0.4
|
704 |
+
setuptools==69.0.3
|
705 |
+
shap==0.44.1
|
706 |
+
shapely==2.0.3
|
707 |
+
shellingham==1.5.4
|
708 |
+
simpervisor==1.0.0
|
709 |
+
simplejson==3.19.2
|
710 |
+
six==1.16.0
|
711 |
+
sklearn-pandas==2.2.0
|
712 |
+
slicer==0.0.7
|
713 |
+
smart-open==6.4.0
|
714 |
+
smmap==5.0.1
|
715 |
+
sniffio==1.3.0
|
716 |
+
snowballstemmer==2.2.0
|
717 |
+
snuggs==1.4.7
|
718 |
+
sortedcontainers==2.4.0
|
719 |
+
soundfile==0.12.1
|
720 |
+
soupsieve==2.5
|
721 |
+
soxr==0.3.7
|
722 |
+
spacy-legacy==3.0.12
|
723 |
+
spacy-loggers==1.0.5
|
724 |
+
spacy==3.7.2
|
725 |
+
spaghetti==1.7.5.post1
|
726 |
+
spectral==0.23.1
|
727 |
+
spglm==1.1.0
|
728 |
+
sphinx-rtd-theme==0.2.4
|
729 |
+
spint==1.0.7
|
730 |
+
splot==1.1.5.post1
|
731 |
+
spopt==0.6.0
|
732 |
+
spreg==1.4.2
|
733 |
+
spvcm==0.3.0
|
734 |
+
sqlparse==0.4.4
|
735 |
+
squarify==0.4.3
|
736 |
+
srsly==2.4.8
|
737 |
+
stable-baselines3==2.1.0
|
738 |
+
stack-data==0.6.2
|
739 |
+
stack-data==0.6.3
|
740 |
+
stanio==0.3.0
|
741 |
+
starlette==0.32.0.post1
|
742 |
+
statsmodels==0.14.1
|
743 |
+
stemming==1.0.1
|
744 |
+
stop-words==2018.7.23
|
745 |
+
stopit==1.1.2
|
746 |
+
stumpy==1.12.0
|
747 |
+
sympy==1.12
|
748 |
+
tables==3.9.2
|
749 |
+
tabulate==0.9.0
|
750 |
+
tangled-up-in-unicode==0.2.0
|
751 |
+
tbb==2021.11.0
|
752 |
+
tblib==3.0.0
|
753 |
+
tenacity==8.2.3
|
754 |
+
tensorboard-data-server==0.7.2
|
755 |
+
tensorboard-plugin-profile==2.15.0
|
756 |
+
tensorboard==2.15.1
|
757 |
+
tensorboardX==2.6.2.2
|
758 |
+
tensorflow-cloud==0.1.16
|
759 |
+
tensorflow-datasets==4.9.4
|
760 |
+
tensorflow-decision-forests==1.8.1
|
761 |
+
tensorflow-estimator==2.15.0
|
762 |
+
tensorflow-hub==0.16.1
|
763 |
+
tensorflow-io-gcs-filesystem==0.35.0
|
764 |
+
tensorflow-io==0.35.0
|
765 |
+
tensorflow-metadata==0.14.0
|
766 |
+
tensorflow-probability==0.23.0
|
767 |
+
tensorflow-serving-api==2.14.1
|
768 |
+
tensorflow-text==2.15.0
|
769 |
+
tensorflow-transform==0.14.0
|
770 |
+
tensorflow==2.15.0
|
771 |
+
tensorpack==0.11
|
772 |
+
tensorstore==0.1.56
|
773 |
+
termcolor==2.4.0
|
774 |
+
terminado==0.18.0
|
775 |
+
testpath==0.6.0
|
776 |
+
text-unidecode==1.3
|
777 |
+
textblob==0.18.0.post0
|
778 |
+
texttable==1.7.0
|
779 |
+
tf_keras==2.15.1
|
780 |
+
tfp-nightly==0.24.0.dev0
|
781 |
+
thinc==8.2.2
|
782 |
+
threadpoolctl==3.2.0
|
783 |
+
tifffile==2023.12.9
|
784 |
+
timm==0.9.16
|
785 |
+
tinycss2==1.2.1
|
786 |
+
tobler==0.11.2
|
787 |
+
tokenizers==0.15.2
|
788 |
+
toml==0.10.2
|
789 |
+
tomli==2.0.1
|
790 |
+
tomlkit==0.12.4
|
791 |
+
toolz==0.12.1
|
792 |
+
torch==2.1.2
|
793 |
+
torchaudio==2.1.2
|
794 |
+
torchdata==0.7.1
|
795 |
+
torchinfo==1.8.0
|
796 |
+
torchmetrics==1.3.2
|
797 |
+
torchtext==0.16.2
|
798 |
+
torchvision==0.16.2
|
799 |
+
tornado==6.3.3
|
800 |
+
tqdm==4.66.1
|
801 |
+
traceml==1.0.8
|
802 |
+
traitlets==5.9.0
|
803 |
+
traittypes==0.2.1
|
804 |
+
transformers==4.38.2
|
805 |
+
treelite-runtime==3.2.0
|
806 |
+
treelite==3.2.0
|
807 |
+
trueskill==0.4.5
|
808 |
+
truststore==0.8.0
|
809 |
+
trx-python==0.2.9
|
810 |
+
tsfresh==0.20.2
|
811 |
+
typeguard==4.1.5
|
812 |
+
typer==0.9.0
|
813 |
+
types-python-dateutil==2.8.19.20240106
|
814 |
+
typing-inspect==0.9.0
|
815 |
+
typing-utils==0.1.0
|
816 |
+
typing_extensions==4.9.0
|
817 |
+
tzdata==2023.4
|
818 |
+
uc-micro-py==1.0.3
|
819 |
+
ucx-py==0.33.0
|
820 |
+
ujson==5.9.0
|
821 |
+
umap-learn==0.5.5
|
822 |
+
unicodedata2==15.1.0
|
823 |
+
update-checker==0.18.0
|
824 |
+
uri-template==1.3.0
|
825 |
+
uritemplate==3.0.1
|
826 |
+
urllib3==1.26.18
|
827 |
+
urllib3==2.1.0
|
828 |
+
urwid==2.6.9
|
829 |
+
urwid_readline==0.14
|
830 |
+
uvicorn==0.25.0
|
831 |
+
uvloop==0.19.0
|
832 |
+
vaex-astro==0.9.3
|
833 |
+
vaex-core==4.17.1
|
834 |
+
vaex-hdf5==0.14.1
|
835 |
+
vaex-jupyter==0.8.2
|
836 |
+
vaex-ml==0.18.3
|
837 |
+
vaex-server==0.9.0
|
838 |
+
vaex-viz==0.5.4
|
839 |
+
vaex==4.17.0
|
840 |
+
vec_noise==1.1.4
|
841 |
+
vecstack==0.4.0
|
842 |
+
virtualenv==20.21.0
|
843 |
+
visions==0.7.5
|
844 |
+
vowpalwabbit==9.9.0
|
845 |
+
vtk==9.3.0
|
846 |
+
wandb==0.16.4
|
847 |
+
wasabi==1.1.2
|
848 |
+
watchfiles==0.21.0
|
849 |
+
wavio==0.0.8
|
850 |
+
wcwidth==0.2.13
|
851 |
+
weasel==0.3.4
|
852 |
+
webcolors==1.13
|
853 |
+
webencodings==0.5.1
|
854 |
+
websocket-client==1.7.0
|
855 |
+
websockets==12.0
|
856 |
+
wfdb==4.1.2
|
857 |
+
whatthepatch==1.0.5
|
858 |
+
wheel==0.42.0
|
859 |
+
widgetsnbextension==3.6.6
|
860 |
+
witwidget==1.8.1
|
861 |
+
woodwork==0.29.0
|
862 |
+
wordcloud==1.9.3
|
863 |
+
wordsegment==1.3.1
|
864 |
+
wrapt==1.14.1
|
865 |
+
xarray-einstats==0.7.0
|
866 |
+
xarray==2024.2.0
|
867 |
+
xgboost==2.0.3
|
868 |
+
xvfbwrapper==0.2.9
|
869 |
+
xxhash==3.4.1
|
870 |
+
xyzservices==2023.10.1
|
871 |
+
y-py==0.6.2
|
872 |
+
yapf==0.40.2
|
873 |
+
yarl==1.9.3
|
874 |
+
yarl==1.9.4
|
875 |
+
ydata-profiling==4.6.4
|
876 |
+
yellowbrick==1.5
|
877 |
+
ypy-websocket==0.8.4
|
878 |
+
zict==3.0.0
|
879 |
+
zipp==3.17.0
|
880 |
+
zstandard==0.22.0
|
wandb/run-20240401_065413-yzd7dxs3/files/wandb-metadata.json
ADDED
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"os": "Linux-5.15.133+-x86_64-with-glibc2.31",
|
3 |
+
"python": "3.10.13",
|
4 |
+
"heartbeatAt": "2024-04-01T06:54:13.708576",
|
5 |
+
"startedAt": "2024-04-01T06:54:13.058429",
|
6 |
+
"docker": null,
|
7 |
+
"cuda": null,
|
8 |
+
"args": [],
|
9 |
+
"state": "running",
|
10 |
+
"program": "kaggle.ipynb",
|
11 |
+
"codePathLocal": null,
|
12 |
+
"root": "/kaggle/working",
|
13 |
+
"host": "e5cddbcf0d54",
|
14 |
+
"username": "root",
|
15 |
+
"executable": "/opt/conda/bin/python3.10",
|
16 |
+
"cpu_count": 2,
|
17 |
+
"cpu_count_logical": 4,
|
18 |
+
"cpu_freq": {
|
19 |
+
"current": 2000.196,
|
20 |
+
"min": 0.0,
|
21 |
+
"max": 0.0
|
22 |
+
},
|
23 |
+
"cpu_freq_per_core": [
|
24 |
+
{
|
25 |
+
"current": 2000.196,
|
26 |
+
"min": 0.0,
|
27 |
+
"max": 0.0
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"current": 2000.196,
|
31 |
+
"min": 0.0,
|
32 |
+
"max": 0.0
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"current": 2000.196,
|
36 |
+
"min": 0.0,
|
37 |
+
"max": 0.0
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"current": 2000.196,
|
41 |
+
"min": 0.0,
|
42 |
+
"max": 0.0
|
43 |
+
}
|
44 |
+
],
|
45 |
+
"disk": {
|
46 |
+
"/": {
|
47 |
+
"total": 8062.387607574463,
|
48 |
+
"used": 5524.092014312744
|
49 |
+
}
|
50 |
+
},
|
51 |
+
"gpu": "Tesla T4",
|
52 |
+
"gpu_count": 2,
|
53 |
+
"gpu_devices": [
|
54 |
+
{
|
55 |
+
"name": "Tesla T4",
|
56 |
+
"memory_total": 16106127360
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"name": "Tesla T4",
|
60 |
+
"memory_total": 16106127360
|
61 |
+
}
|
62 |
+
],
|
63 |
+
"memory": {
|
64 |
+
"total": 31.35755157470703
|
65 |
+
}
|
66 |
+
}
|
wandb/run-20240401_065413-yzd7dxs3/files/wandb-summary.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"train/loss": 0.2867, "train/grad_norm": 0.43647414445877075, "train/learning_rate": 0.0, "train/epoch": 44.44, "train/global_step": 300, "_timestamp": 1711960255.3542602, "_runtime": 5802.288031101227, "_step": 90, "eval/loss": 0.45313912630081177, "eval/runtime": 12.0119, "eval/samples_per_second": 3.33, "eval/steps_per_second": 0.583, "train/train_runtime": 5813.6526, "train/train_samples_per_second": 1.376, "train/train_steps_per_second": 0.052, "train/total_flos": 938930945605632.0, "train/train_loss": 0.533906111518542}
|
wandb/run-20240401_065413-yzd7dxs3/logs/debug-internal.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
wandb/run-20240401_065413-yzd7dxs3/logs/debug.log
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.4
|
2 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
|
3 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
4 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
5 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
6 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
7 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
|
8 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
|
9 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240401_065413-yzd7dxs3/logs/debug.log
|
10 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240401_065413-yzd7dxs3/logs/debug-internal.log
|
11 |
+
2024-04-01 06:54:13,060 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x78c2e1a431c0>
|
12 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
|
13 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
|
14 |
+
config: {}
|
15 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():616] starting backend
|
16 |
+
2024-04-01 06:54:13,061 INFO MainThread:34 [wandb_init.py:init():620] setting up manager
|
17 |
+
2024-04-01 06:54:13,063 INFO MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
18 |
+
2024-04-01 06:54:13,066 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
|
19 |
+
2024-04-01 06:54:13,078 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
|
20 |
+
2024-04-01 06:54:13,454 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
|
21 |
+
2024-04-01 06:54:13,458 INFO MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
|
22 |
+
2024-04-01 06:54:13,586 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
|
23 |
+
2024-04-01 06:54:13,675 INFO MainThread:34 [wandb_run.py:_on_init():2271] got version response upgrade_message: "wandb version 0.16.5 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
|
24 |
+
|
25 |
+
2024-04-01 06:54:13,675 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
|
26 |
+
2024-04-01 06:54:44,704 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
|
27 |
+
2024-04-01 06:54:44,705 INFO MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
|
28 |
+
2024-04-01 06:54:44,705 INFO MainThread:34 [wandb_run.py:_redirect():2161] Wrapping output streams.
|
29 |
+
2024-04-01 06:54:44,705 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
|
30 |
+
2024-04-01 06:54:44,707 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
|
31 |
+
2024-04-01 06:54:44,713 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'sliding_window': None, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'use_cache': False, 'rope_theta': 1000000.0, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, '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': ['MistralForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'TheBloke/Mistral-7B-Instruct-v0.2-GPTQ', 'transformers_version': '4.38.2', 'model_type': 'mistral', 'pretraining_tp': 1, 'quantization_config': {'quant_method': 'QuantizationMethod.GPTQ', 'bits': 4, 'tokenizer': None, 'dataset': None, 'group_size': 128, 'damp_percent': 0.1, 'desc_act': True, 'sym': True, 'true_sequential': True, 'use_cuda_fp16': False, 'model_seqlen': None, 'block_name_to_quantize': None, 'module_name_preceding_first_block': None, 'batch_size': 1, 'pad_token_id': None, 'use_exllama': True, 'max_input_length': None, 'exllama_config': {'version': 'ExllamaVersion.ONE'}, 'cache_block_outputs': True, 'modules_in_block_to_quantize': None}, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'epoch', 'prediction_loss_only': False, 'per_device_train_batch_size': 6, 'per_device_eval_batch_size': 6, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 4, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 0.0002, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 50, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 2, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Apr01_06-53-57_e5cddbcf0d54', 'logging_strategy': 'epoch', 'logging_first_step': False, 'logging_steps': 500, 'logging_nan_inf_filter': True, 'save_strategy': 'epoch', 'save_steps': 500, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': 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': None, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, '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}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_8bit', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', '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': False, '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, 'fp16_backend': 'auto', '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}
|
32 |
+
2024-04-01 08:30:55,358 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
33 |
+
2024-04-01 08:30:55,358 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
|
34 |
+
2024-04-01 08:52:13,855 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
|
35 |
+
2024-04-01 08:52:13,887 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
36 |
+
2024-04-01 08:52:13,888 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
|
37 |
+
2024-04-01 08:52:43,723 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
|
38 |
+
2024-04-01 08:52:43,725 INFO MainThread:34 [jupyter.py:save_ipynb():373] not saving jupyter notebook
|
39 |
+
2024-04-01 08:52:43,726 INFO MainThread:34 [wandb_init.py:_pause_backend():437] pausing backend
|
40 |
+
2024-04-01 08:52:46,758 INFO MainThread:34 [wandb_init.py:_resume_backend():442] resuming backend
|
wandb/run-20240401_065413-yzd7dxs3/run-yzd7dxs3.wandb
ADDED
Binary file (219 kB). View file
|
|