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Removing v1alpha2 version (#136)
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.travis.yml

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@@ -13,7 +13,6 @@ install:
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- gometalinter --install
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script:
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- go build -o pytorch-operator.v2 github.com/kubeflow/pytorch-operator/cmd/pytorch-operator.v2
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- go build -o pytorch-operator.v1beta1 github.com/kubeflow/pytorch-operator/cmd/pytorch-operator.v1beta1
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- gometalinter --config=linter_config.json ./pkg/...
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# We customize the build step because by default

Dockerfile

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FROM debian:jessie
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COPY pytorch-operator.v2 /pytorch-operator.v2
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COPY pytorch-operator.v1beta1 /pytorch-operator.v1beta1
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ENTRYPOINT ["/pytorch-operator", "-alsologtostderr"]

build_image.sh

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mkdir -p ${GOPATH}/src/github.com/kubeflow
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ln -s ${CONTEXT_DIR} ${GO_DIR}
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cd ${GO_DIR}
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echo "Build pytorch operator v1alpha2 binary"
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go build github.com/kubeflow/pytorch-operator/cmd/pytorch-operator.v2
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echo "Build pytorch operator v1beta1 binary"
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go build github.com/kubeflow/pytorch-operator/cmd/pytorch-operator.v1beta1
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cmd/pytorch-operator.v2/app/options/options.go

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cmd/pytorch-operator.v2/app/server.go

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cmd/pytorch-operator.v2/main.go

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examples/mnist/README.md

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@@ -4,7 +4,7 @@ This folder contains an example where mnist is trained. This example is also use
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The python script used to train mnist with pytorch takes in several arguments that can be used
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to switch the distributed backends. The manifests to launch the distributed training of this mnist
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file using the pytorch operator are under the respective version folders: [v1alpha2](./v1alpha2) and [v1beta1](./v1beta1).
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file using the pytorch operator are under the respective version folders: [v1beta1](./v1beta1).
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Each folder contains manifests with example usage of the different backends.
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**Build Image**

examples/mnist/v1alpha2/pytorch_job_mnist_gloo.yaml

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examples/mnist/v1alpha2/pytorch_job_mnist_nccl.yaml

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