Comments (1)
Hi! thanks for your contribution!, great first issue!
from litdata.
Related Issues (20)
- TPU support HOT 5
- Issue with StreamingDataset when not using all GPUs on host. HOT 6
- Assert when deserializing `no_header_numpy` or `no_header_tensor`. HOT 4
- `litdata.optimize` accidentally deletes files from the local filesystem HOT 2
- GCSFuse mount + Vertex AI custom training jobs support HOT 1
- Compression using the optimize function from litdata HOT 5
- Dataset not created when using `map()` on data structure without file paths inside
- Question: is there a plan to support streaming from GCS? HOT 6
- ValueError: buffer size must be a multiple of element size
- Dataloading is not working when used in litgpt's debug pretraining example HOT 4
- Please add s3 path support to optimize (read and write to s3) HOT 5
- optimize function on multiple machine writing to local pathes
- StreamingDataset support for older PyTorch versions HOT 1
- Progress bar missing with `litdata.StreamingDataset` and wrong number of steps in an epoch HOT 4
- Slow Dataset Preprocessing due to CPU affinity (?) issues HOT 3
- Time per sample grows as processed samples grows HOT 4
- Optimizing dictionary data structures fails when using a partially initialized function HOT 2
- Cache directory resolution issues in Google Colab HOT 1
- Stream selected channels
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from litdata.