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Author SHA1 Message Date
Oleksii Kuchaiev 6c186149a8 update to 21.04-py3
Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com>
2021-05-04 16:45:53 -07:00
4 changed files with 9 additions and 9 deletions

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@ -14,7 +14,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
ARG BASE_IMAGE=nvcr.io/nvidia/pytorch:21.03-py3
ARG BASE_IMAGE=nvcr.io/nvidia/pytorch:21.04-py3
# build an image that includes only the nemo dependencies, ensures that dependencies
@ -74,7 +74,7 @@ COPY . .
# start building the final container
FROM nemo-deps as nemo
ARG NEMO_VERSION=1.0.0rc1
ARG NEMO_VERSION=1.0.0
# Check that NEMO_VERSION is set. Build will fail without this. Expose NEMO and base container
# version information as runtime environment variable for introspection purposes

2
Jenkinsfile vendored
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@ -1,7 +1,7 @@
pipeline {
agent {
docker {
image 'nvcr.io/nvidia/pytorch:21.03-py3'
image 'nvcr.io/nvidia/pytorch:21.04-py3'
args '--device=/dev/nvidia0 --gpus all --user 0:128 -v /home/TestData:/home/TestData -v $HOME/.cache/torch:/root/.cache/torch --shm-size=8g'
}
}

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@ -50,7 +50,7 @@ Requirements
------------
1) Python 3.6, 3.7 or 3.8
2) Pytorch 1.8.0 or above
2) Pytorch 1.8.1 or above
3) NVIDIA GPU for training
Documentation
@ -137,13 +137,13 @@ It has all requirements and NeMo 1.0.0rc1 already installed.
stack=67108864 --device=/dev/snd nvcr.io/nvidia/nemo:1.0.0rc1
If you chose to work with main branch, we recommend using NVIDIA's PyTorch container version 21.03-py3 and then installing from GitHub.
If you chose to work with main branch, we recommend using NVIDIA's PyTorch container version 21.04-py3 and then installing from GitHub.
.. code-block:: bash
docker run --gpus all -it --rm -v <nemo_github_folder>:/NeMo --shm-size=8g \
-p 8888:8888 -p 6006:6006 --ulimit memlock=-1 --ulimit \
stack=67108864 --device=/dev/snd nvcr.io/nvidia/pytorch:21.03-py3
stack=67108864 --device=/dev/snd nvcr.io/nvidia/pytorch:21.04-py3
Examples
--------

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@ -34,7 +34,7 @@ Before you begin using NeMo, it's assumed you meet the following prerequisites.
#. You have Python version 3.6, 3.7 or 3.8.
#. You have Pytorch version 1.7.1.
#. You have Pytorch version 1.8.1 or above
#. You have access to a Volta, Turing, or an NVIDIA Ampere architecture-based A100 GPU for training.
@ -142,13 +142,13 @@ The container includes all the dependencies and NeMo 1.0.0b3 already installed.
stack=67108864 --device=/dev/snd nvcr.io/nvidia/nemo:1.0.0rc1
If you chose to work with the ``main`` branch, we recommend using `NVIDIA's PyTorch container version 20.11-py3 <https://ngc.nvidia.com/containers/nvidia:pytorch/tags>`_, then install from GitHub.
If you chose to work with the ``main`` branch, we recommend using `NVIDIA's PyTorch container version 21.04-py3 <https://ngc.nvidia.com/containers/nvidia:pytorch/tags>`_, then install from GitHub.
.. code-block:: bash
docker run --gpus all -it --rm -v <nemo_github_folder>:/NeMo --shm-size=8g \
-p 8888:8888 -p 6006:6006 --ulimit memlock=-1 --ulimit \
stack=67108864 --device=/dev/snd nvcr.io/nvidia/pytorch:20.11-py3
stack=67108864 --device=/dev/snd nvcr.io/nvidia/pytorch:21.04-py3
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