@@ -15,7 +15,8 @@ We've made several modifications to the code:
...
@@ -15,7 +15,8 @@ We've made several modifications to the code:
* In `dataset.py`:
* In `dataset.py`:
* Speed up data loading - On first data will is loaded from CSVs and then pickled. On subsequent runs the pickle is loaded. This is much faster than the original implementation, but still very slow.
* Speed up data loading - On first data will is loaded from CSVs and then pickled. On subsequent runs the pickle is loaded. This is much faster than the original implementation, but still very slow.
* Added progress indication during data load process
* Added progress indication during data load process
* Removed some irrelevant content from this README
The sample command lines provided [below](#running-the-sample) focus on **post-training quantization**. We did integrate the capability to run quantization-aware training into `ncf.py`. We'll add examples for this at a later time.
