| Name | batch-iter JSON |
| Version |
0.1
JSON |
| download |
| home_page | None |
| Summary | Utilities for efficiently iterating over mini-batches of PyTorch tensors |
| upload_time | 2024-09-08 11:40:45 |
| maintainer | None |
| docs_url | None |
| author | Alex Shtoff |
| requires_python | None |
| license | None |
| keywords |
python
pytorch
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
This package allows eliminating the over-head incurred by the DataLoader class when iterating over in-memory tensors for training small models. Allows iterating over (shuffled) samples, or groups of samples, such as what is required for learning-to-rank.
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