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Deep learning

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

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transformers
patrickvonplaten
patrickvonplaten commented Mar 21, 2022

This issue is part of our Doc Test Sprint. If you're interested in helping out come join us on Discord and talk with other contributors!

Docstring examples are often the first point of contact when trying out a new library! So far we haven't done a very good job at ensuring that all docstring examples work correctly in 🤗 Transformers - but we're now very

seemethere
seemethere commented Mar 16, 2022

🚀 The feature, motivation and pitch

After the revert of pytorch/pytorch@7cf9b94 we've identified a need to add a lint that checks file names to ensure that they're compatible with Windows machines.

Observed error: (from example commit)

Error: error: invalid path 'test/test_ops_gradients.py '

A simple check on chang

module: bootcamp good first issue module: ci triaged

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Nov 4, 2021
  • Python
architkulkarni
architkulkarni commented Mar 24, 2022

Here's the reproduction:

import os
import tempfile
from pathlib import Path
from ray._private.runtime_env.packaging import _zip_directory
from zipfile import ZipFile

with tempfile.TemporaryDirectory() as tmp_dir:
    # Prepare test directory
    path = Path(tmp_dir)
    subdir = path / "subdir"
    subdir.mkdir(parents=True)
    file1 = subdir / "file1.txt"
    with file
bug good first issue P2
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