mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-19 21:32:23 +00:00
* Initial implementation of generating calibration dynamic range table * Initialize validation support for Quantization * Initialize validation support for Quantization (cont.) * Improve validation support for Quantization * Improve validation support for Quantization * Rewrite/Refine for calibration and validation * Rewrite/Refine for calibration and validation (cont.) * Refine code * Refine code * Add data reader for BERT * Add flatbuffers to serialize calibration table * Refine code and add BERT evaluation * Refine the code * minor modification * Add preprocess/postprocess of vision team yolov3 and refine the code * Update annotation * Make bbox cooridates more accurate * Fix bug * Add support of batch processing * Batch processing for model zoo yolov3 * Add batch inference for evaluation * Refine the code * Add README * Add comments * Refine the code for PR * Remove batch support checking in data_reader and refine the code * Refine the code for PR * Refine the code for PR review Co-authored-by: Olivia Jain <oljain@microsoft.com> |
||
|---|---|---|
| .. | ||
| featurizer_ops | ||
| quantization | ||
| tensorrt/perf | ||
| transformers | ||
| __init__.py | ||
| onnxruntime_test.py | ||
| symbolic_shape_infer.py | ||