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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.

NVIDIA AI Enterprise Supported
LayerLabelCreated
500e2a71ca36e504ad10a0fcf5b2e4345ba56c97105c692e9cf1e1e3976a45dbRUN
/bin/sh
01/02/2020 6:35 PM UTC
acb65b6474e2110bf8159ae652f6cb31124c086d2012017b0ac077202662ed19RUN
printf "#!/bin/bash\njupyter lab --no-browser --allow-root --ip=0.0.0.0" >> start-jupyter.sh &&
  chmod +x start-jupyter.sh
01/02/2020 6:35 PM UTC
998eaa3d8c0c1472481c01f3c3a65b6e49c630022f798397dd6a79e84ccfc169RUN
mv examples/ /workspace/nemo_examples &&
  rm -rf /workspace/nemo
01/02/2020 6:35 PM UTC
cf7ea0d18179c665aa2dbd1b680c9495b5503521906c3ab36e525e5e4bb6dcfeWORKDIR
/workspace/nemo
01/02/2020 6:34 PM UTC
1e54c83931b995ff722bdf2ab3d06f6a8b7e16208c96d316ffa027fc3c489746RUN
cd nemo &&
  pip install . &&
  cd ../collections/nemo_asr &&
  pip install . &&
  cd ../nemo_nlp &&
  pip install . &&
  cd ../nemo_simple_gan &&
  pip install . &&
  cd ../nemo_tts &&
  pip install .
01/02/2020 6:34 PM UTC
69b7a27ae8427ef7919be6af76a281f3e4418f31718b3bcf1aa32540beca8524COPY
dir:bd5d0adc28f5127bd0193eac1ea9433f2281da7a24bfe029cbd9f9c41fc98040 in .
01/02/2020 6:34 PM UTC
e304d5e297765823a48d9e0d6b7a0d69ce5b2a813fdf4084fe3dfb634e5b84dbRUN
pip install --disable-pip-version-check -U -r requirements.txt
12/07/2019 12:08 AM UTC
e104fdcfef3eec641e570e986a4657d478a74443c0ea3e9b62d7b358074f84c3COPY
file:133daf3065d6e3ce2917f4aa30f7a36dc743a7331f787c4c87306ccc50d4af78 in .
12/07/2019 12:07 AM UTC
2d79cd585a1a84bafa6077258883d53cbbd1a0bf16519d565f625f7cd469b714WORKDIR
/workspace/nemo
12/07/2019 12:07 AM UTC
280f92b4cedcb355897cc04ba185f5561d0a9615ac06e5a33cd96cd040d6eb0dRUN
git clone https://github.com/onnx/onnx-tensorrt.git &&
  cd onnx-tensorrt &&
  git submodule update --init --recursive &&
  patch -f < ../onnx-trt.patch &&
  mkdir build &&
  cd build &&
  cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr -DGPU_ARCHS="60 70 75" &&
  make -j16 &&
  make install &&
  mv -f /usr/lib/libnvonnx* /usr/lib/x86_64-linux-gnu/ &&
  ldconfig
12/07/2019 12:07 AM UTC
...

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