with open(osp.join(self.raw_dir, f'{split}.pt'), 'rb') as f: graphs = torch.load(f) graphs = fs.torch_load(osp.join(self.raw_dir, f'{split}.pt')) data_list = [] for graph in tqdm(graphs, desc=f'Processing {split} dataset'): Expand Down 3 changes: 2 additions & 1...
importosimportnumpyasnpimporthickleashklimporttorchfromtorch.utils.dataimportDatasetfromtqdmimporttqdmtqdm.pandas()fromtransformersimportAutoModel,pipelinefromtransformersimportAutoTokenizerfromtorch.multiprocessingimportPool,Process,set_start_method,get_contextset_start_method("spawn",force=True)pipe=Nonemodel_name...
random.choice([action_ for action_, value_ in enumerate(values_) if value_ == np.max(values_)]) # play for several episodes for episode in tqdm(range(episodes)): # for each episode, use a randomly initialized state and action initial_state = [bool(np.random.choice([0, 1])), np...
pytorch-metric-learning < v0.9.90 doesn't have a version requirement, but was tested with torch >= 1.2 Other dependencies: numpy, scikit-learn, tqdm, torchvision Pip pip install pytorch-metric-learning Other installation options To get the latest dev version: pip install pytorch-metric-learni...
# you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software ...
'tqdm', 'youtokentome' ], classifiers=[ 'Development Status :: 4 - Beta', 7 changes: 5 additions & 2 deletions 7 train_dalle.py Original file line numberDiff line numberDiff line change @@ -21,7 +21,7 @@ from dalle_pytorch import distributed_utils from dalle_pytorch import OpenAI...
- tqdm: 4.64.1 - traitlets: 5.14.1 - trio: 0.24.0 - trio-websocket: 0.11.1 - typeguard: 4.1.5 - typer: 0.9.0 - types-python-dateutil: 2.8.19.20240106 - typing-extensions: 4.9.0 - typing-inspect: 0.9.0 - tzdata: 2024.1 - universal-pathlib: 0.0.23 - uri-template: 1.3.0 - ur...
UI: With tqdm installed alongside Nuitka, experimental progress bars are enabled. Do not use `` --show-progress`` or --verbose as these might have to disable it. Plugins: Added APIs for final processing of the result and onefile post processing. Onefile: On Windows, the Python process term...
"from tqdm.auto import tqdm\n", "import wandb\n", "import yaml\n", "import os\n", "import hashlib\n", "import glob\n", "\n", "import logging\n", "\n", "from transformers import (\n", " AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig,\n", " pipeline, TrainingArgume...
progress_bar = tqdm(range(len(dataloader))) progress_bar.set_description(f'loss: {0:>7f}') finish_step_num = epoch * len(dataloader) model.train() for step, batch_data in enumerate(dataloader, start=1): batch_data = batch_data.to(args.device) outputs = model(**batch_data) loss...