NVIDIA
NVIDIA
NeMo Framework Megatron Backend
Container
NVIDIA
NVIDIA
NeMo Framework Megatron Backend

NVIDIA NeMo™ framework Megatron backend supports pre-training, post-training, and reinforcement learning of LLMs and multi-modal generative AI models with state-of-the-art data processing, model training techniques, and flexible deployment options.

LayerLabelCreated
0892d827554fa8f5f8b6eee27f4549270df441ee7da20a99a3b72dff411efc85CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
03/10/2024 7:52 PM UTC
365b9af34a75131a71dc220c7fa75fed2441fd954bc62b2ad4adf43c97180036ARG
NVIDIA_BUILD_REF
03/10/2024 7:52 PM UTC
20e84313bdc0acc3002d3326df0743b38fc4165c3097166d7e1dc24c08309bc9LABEL
com.nvidia.build.id=80741402
03/10/2024 7:52 PM UTC
9d5fa88f3e97007d9c75802ea16e303290684c4198cb76449466bb9b6542b896ENV
NVIDIA_BUILD_ID=80741402
03/10/2024 7:52 PM UTC
8d376d65304e6f74447ce4858d6e2b1deeba13adab84d00fee7f4d811c22e6d4ARG
NVIDIA_BUILD_ID
03/10/2024 7:52 PM UTC
ed2434e886c1e0a1b68069e551cd4c12ecb4637bbb66aeecd41ae6e3bba96226RUN
chmod -R a+w /workspace
03/10/2024 7:52 PM UTC
2f0310c9786120fa66b59c9b308329b3008bc1d2d78b1cd7291c8b637d52434cWORKDIR
/workspace
03/10/2024 7:52 PM UTC
c72ad6a774a084330795b74e54f9e37555f047abada962da1573e6babd96ed80RUN
TCNN_CUDA_ARCHITECTURES="52,60,61,70,75,80,86,89,90" pip install --no-cache-dir git+https://github.com/NVlabs/tiny-cuda-nn@6f018a9cd1b369bcb247e1d539968db8e48b2b3f#subdirectory=bindings/torch
03/10/2024 7:52 PM UTC
75505cbd271015a4d65b70477f0f19c99f9fee0f46b2b86eca54e4223752f92cRUN
cd /tmp &&
  git clone https://github.com/ashawkey/stable-dreamfusion.git &&
  cd stable-dreamfusion &&
  git checkout 5550b91862a3af7842bb04875b7f1211e5095a63 &&
  find . -type f -name 'setup.py' -exec sed -i 's/c++14/c++17/g' {} + &&
  pip install --no-cache-dir ./raymarching &&
  pip install --no-cache-dir ./shencoder &&
  pip install --no-cache-dir ./freqencoder &&
  TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX" pip install --no-cache-dir ./gridencoder &&
  cd /opt &&
  rm -rf /tmp/stable-dreamfusion
03/10/2024 7:05 PM UTC
058424c703fd62e1f21dc366267d005e076f116bb1cbcc88893e9cb8d9292420RUN
pip install --no-cache-dir tritonclient==2.38.0 kornia==0.6 Pillow==9.3.0 webdataset==0.2.48 git+https://github.com/openai/CLIP.git@main#egg=clip -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers --src /opt accelerate seaborn datasets prefetch_generator diffusers==0.19.3 torchdiffeq torchsde jiwer editdistance pyannote.core pyannote.metrics addict yapf basicsr open_clip_torch torch-ema trimesh PyMCubes xatlas imageio pymeshlab nerfacc==0.5.3 einops_exts git+https://github.com/NVlabs/nvdiffrast.git@c5caf7bdb8a2448acc491a9faa47753972edd380
03/10/2024 6:39 PM UTC
...

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.