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Author:
ByteDance-Seed
License:
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTI...
Summary:
VeOmni: Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework
Latest version:
0.1.12
Required dependencies:
blobfile
|
datasets
|
einops
|
matplotlib
|
packaging
|
psutil
|
setuptools
|
tiktoken
|
timm
|
torchdata
|
wandb
Optional dependencies:
apache-tvm-ffi
|
av
|
create-block-mask-cuda
|
cuda-python
|
debugpy
|
decorator
|
diffusers
|
expecttest
|
flash-attn
|
flash-attn-3
|
flash-attn-4
|
flash-attn-cute
|
flash-linear-attention
|
flash-mla
|
flash-qla
|
ftfy
|
gram-newton-schulz
|
hf-transfer
|
librosa
|
liger-kernel
|
magi-attention
|
magi-to-hstu-cuda
|
megatron-energon
|
nvidia-cudnn-frontend
|
nvidia-cusparselt-cu13
|
nvidia-cutlass-dsl
|
nvidia-nccl-cu13
|
peft
|
pre-commit
|
pytest
|
quack-kernels
|
ruff
|
scipy
|
soundfile
|
tile-kernels
|
tilelang
|
torch
|
torch-c-dlpack-ext
|
torch-npu
|
torchaudio
|
torchcodec
|
torchvision
|
veomni
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