NVIDIA
NVIDIA
NeMo Framework Megatron Backend
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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
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=
    04/01/2024 7:22 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    04/01/2024 7:22 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=82611821
    04/01/2024 7:22 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=82611821
    04/01/2024 7:22 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    04/01/2024 7:22 PM UTC
    sha256:51608a2bc20e2d07f38952642039c34da187817379a5feb21ef15e9e1fcc9137RUN
    chmod -R a+w /workspace
    04/01/2024 7:22 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1WORKDIR
    /workspace
    04/01/2024 7:22 PM UTC
    sha256:cd117190a3623db77d63ab127c950f43045273bf3f224df1c0f27c676a71109cRUN
    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
    04/01/2024 7:22 PM UTC
    sha256:dfc402b3a7d6c1f6fbee77de6935bec54c42a7f84824d3cff420eea3365bd44bRUN
    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
    04/01/2024 6:35 PM UTC
    sha256:fd1bcf5376ef05643e86d89db65ad941ddec9410548a1673d058530cc1f61334RUN
    pip install --no-cache-dir git+https://github.com/NVlabs/nvdiffrast.git@c5caf7bdb8a2448acc491a9faa47753972edd380
    04/01/2024 6:08 PM UTC
    ...

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