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65d09031f2* add retinanet with resnet backbone * adds resnext to support loading retinanet pretrained on openimages * object detection post processing with numpy * data is downloaded and converted to coco format with fiftyone * data loading and mAP evaluation with pycocotools * remove fiftyone dep * * eval freq * fix model timing * del jit for last batch * faster accumulate |
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| .. | ||
| mlperf | ||
| yolo | ||
| __init__.py | ||
| benchmark_train_efficientnet.py | ||
| compile_efficientnet.py | ||
| compile_tensorflow.py | ||
| deep_deterministic_policy_gradient.py | ||
| efficientnet.py | ||
| hlb_cifar10.py | ||
| hlb_cifar10_torch.py | ||
| llama.py | ||
| mnist_gan.py | ||
| serious_mnist.py | ||
| stable_diffusion.py | ||
| train_efficientnet.py | ||
| train_resnet.py | ||
| transformer.py | ||
| vgg7.py | ||
| vit.py | ||
| yolov3.py | ||
| yolov8.py | ||