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        "description": "# torch-utils [![Build Status](https://travis-ci.com/FebruaryBreeze/torch-utils.svg?branch=master)](https://travis-ci.com/FebruaryBreeze/torch-utils) [![codecov](https://codecov.io/gh/FebruaryBreeze/torch-utils/branch/master/graph/badge.svg)](https://codecov.io/gh/FebruaryBreeze/torch-utils) [![PyPI version](https://badge.fury.io/py/torch-utils.svg)](https://pypi.org/project/torch-utils/)\n\nCommon Utils for PyTorch.\n\n## Installation\n\nNeed Python 3.6+.\n\n```bash\npip install torch-utils\n```\n\n## Usage\n\n1. Accuracy\n\n```python\nimport torch_utils\n\n# ...\n\ntop_1, top_5 = torch_utils.accuracy(output=..., target=..., top_k=(1, 5))\n```\n\n2. Meter\n\n```python\nimport torch_utils\n\nloss_meter = torch_utils.AverageMeter(name='Meter', length=10)\nloss_meter.update(val=...)\n\nprint(loss_meter.avg, loss_meter.val)\nprint(loss_meter)\n#> Test 0.00 (0.00)\n\nprogress_meter = torch_utils.ProgressMeter(total_steps=100, total_epochs=10)\nprogress_meter.update(step=10)\nassert progress_meter.step == 10\nassert progress_meter.ratio == 0.1\nassert progress_meter.epoch == 1\nprint(progress_meter)\n#> Step 10/100=10.0% (1/10)\n```",
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