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01ae45a43c* feat: initial rnn-t * feat: working with BS>1 * feat: add lstm test * feat: test passing hidden * clean: cleanup * feat: specify start * feat: way faster lstm & model * fix: default batch size * feat: optimization * fix: fix metrics * fix: fix feature splicing * feat: cleaner stacktime * clean: remove unused import * clean: remove extra prints * fix: fix tests and happy llvm * feat: have the librispeech dataset in its own dir * clean: unused variable * feat: no longer need numpy for the embedding + slightly more memory efficient lstm * fix: forgot to remove something that broke tests * feat: use relative paths * feat: even faster * feat: remove pointless transposes in StackTime * fix: correct forward * feat: switch to soundfile for loading and fix some leaks * feat: add comment about initial dataset setup * feat: jit more things * feat: default batch size back to 1 larger than 1 is broken again :( and even in the reference implementation it gives worse results |
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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 | ||