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* feat: add mlperf bert model * feat: switch to nn.Embedding * clean+fix: fix formatting * feat: add simple downloader * feat: metrics * feat: don't actually need exact match * feat: doing a run * feat: set eps on the layernorms * clean+fix: cleaner impl + hopefully fixed * feat: move dataset initialization into iterate * feat: move tokenizer out of iterate * clean+fix: cleaner + working * clean: cleanup * fix: fix metrics * feat: need to use original bert gelu + download vocab * feat: make directory if it doesn't exist yet * feat: jit go brrr
27 lines
310 B
Plaintext
27 lines
310 B
Plaintext
__pycache__
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.venv/
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.vscode
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notebooks
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.*.swp
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.*.swo
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*.pyc
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*.so
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build
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dist
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*.egg-info
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/env
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a.out
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boxes.jpg
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weights/*
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pandecode.dump
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vertex.bin
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recognize*
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.idea
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disassemblers/applegpu
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disassemblers/cuda_ioctl_sniffer
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*.prof
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datasets/cifar-10-python.tar.gz
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datasets/librispeech/
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datasets/imagenet/
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datasets/squad/
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