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* Code refactor * Modify code to tackle OOM when calibrating on larget dataset * Fix mismatch issue when setting keepdims on ReduceMin/ReduceMax * Add COCO val 2017 annotation * Fix mismatch issue when setting keepdims on ReduceMin/ReduceMax * Fix bug of "No module named:onnxruntime.quantization.CalTableFlatBuffers" * Check and install flatbuffers module * Add script to donwload coco dataset image and refactor example * Fix bug of "No module named:onnxruntime.quantization.CalTableFlatBuffers" * Add CalTableFaltBuffers as module * Remove annotation, user can download by themselves. * Uncommet code * Add back instances_val2017.json * Make sure flatbuffers installed when ORT is installed * Refactor code to call coco api * Enable FP16 for example |
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| .. | ||
| featurizer_ops | ||
| quantization | ||
| tensorrt/perf | ||
| transformers | ||
| __init__.py | ||
| onnxruntime_test.py | ||
| symbolic_shape_infer.py | ||