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Fix(Components/pytorch): Add single docker file for cpu and gpu #5863

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Jun 26, 2021
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26 changes: 26 additions & 0 deletions samples/contrib/pytorch-samples/Dockerfile
Original file line number Diff line number Diff line change
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# Copyright (c) Facebook, Inc. and its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

ARG BASE_IMAGE=pytorch/pytorch:latest

FROM ${BASE_IMAGE}

COPY . .

RUN pip install --no-cache-dir -r requirements.txt

RUN pip install --no-cache-dir pytorch-kfp-components

ENV PYTHONPATH /workspace

ENTRYPOINT /bin/bash
63 changes: 0 additions & 63 deletions samples/contrib/pytorch-samples/Dockerfile-cpu

This file was deleted.

64 changes: 0 additions & 64 deletions samples/contrib/pytorch-samples/Dockerfile-gpu

This file was deleted.

4 changes: 2 additions & 2 deletions samples/contrib/pytorch-samples/README.md
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Expand Up @@ -37,13 +37,13 @@ Ex: `pipelines/samples/contrib/pytorch-samples/iris`

### Build and push the docker image
```
docker build -t image_name:tag -f Dockerfile-cpu .
docker build -t image_name:tag .
```

to run the example in gpu, run the following commands for building docker image

```
docker build -t image_name:tag -f Dockerfile-gpu .
docker build --build-arg BASE_IMAGE=pytorch/pytorch:1.8.1-cuda10.2-cudnn7-runtime -t image_name:tag .
```

push the docker image
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5 changes: 5 additions & 0 deletions samples/contrib/pytorch-samples/common/tensorboard/Dockerfile
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FROM gcr.io/deeplearning-platform-release/tf2-cpu.2-2:latest

RUN pip install --user --no-cache-dir boto3

RUN pip install --user --no-cache-dir torch-tb-profiler