DaisyChainAI
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DaisyChain-Train

distributed-training

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DaisyChain-Train / daisychain

956 kB

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Quazim0t0's picture

Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September

99509b7 verified 3 days ago

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Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 3 days ago
verified
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 3 days ago
__init__.py

595 Bytes
Old-hardware training through emulated GPU logic 3 months ago
cluster.py

8.13 kB
Old-hardware training through emulated GPU logic 3 months ago
example_task.py

920 Bytes
Old-hardware training through emulated GPU logic 3 months ago
spikewhale_panel.py

11.3 kB
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 3 days ago
spikewhale_task.py

5.88 kB
Refuse NaN/Inf at every int8 quantize; requant rounds half-up (retrained); bounded units; README for September 3 days ago
task.py

1.26 kB
Old-hardware training through emulated GPU logic 3 months ago
train.py

3.28 kB
Old-hardware training through emulated GPU logic 3 months ago
verified_task.py

1.34 kB
Old-hardware training through emulated GPU logic 3 months ago