transformers/examples/pytorch/benchmarking
Roy Hvaara 35a7052b61
[NumPy] Remove references to deprecated NumPy type aliases (#21022)
[NumPy] Remove references to deprecated NumPy type aliases.

This change replaces references to a number of deprecated NumPy type aliases (np.bool, np.int, np.float, np.complex, np.object, np.str) with their recommended replacement (bool, int, float, complex, object, str).

NumPy 1.24 drops the deprecated aliases, so we must remove uses before updating NumPy.

Co-authored-by: Peter Hawkins <phawkins@google.com>

Co-authored-by: Peter Hawkins <phawkins@google.com>
2023-01-05 13:02:10 -05:00
..
plot_csv_file.py [NumPy] Remove references to deprecated NumPy type aliases (#21022) 2023-01-05 13:02:10 -05:00
README.md Examples reorg (#11350) 2021-04-21 11:11:20 -04:00
requirements.txt Examples reorg (#11350) 2021-04-21 11:11:20 -04:00
run_benchmark.py Examples reorg (#11350) 2021-04-21 11:11:20 -04:00

🤗 Benchmark results

Here, you can find a list of the different benchmark results created by the community.

If you would like to list benchmark results on your favorite models of the model hub here, please open a Pull Request and add it below.

Benchmark description Results Environment info Author
PyTorch Benchmark on inference for bert-base-cased memory env Partick von Platen
PyTorch Benchmark on inference for bert-base-cased time env Partick von Platen