WIP feat(suggestion): Support One-shot NAS suggestion

cmd/suggestion/v1alpha3/darts/Dockerfile

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+FROM python:3
+
+ADD . /usr/src/app/github.com/kubeflow/katib
+WORKDIR /usr/src/app/github.com/kubeflow/katib/cmd/suggestion/v1alpha3/darts
+RUN pip install --no-cache-dir -r ./requirements.txt \
+    && curl -O https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh \
+    && sh Anaconda3-5.2.0-Linux-x86_64.sh -b \
+    && . ~/.bashrc \
+    && conda install -y pytorch-cpu torchvision-cpu -c pytorch
+ENV PYTHONPATH /usr/src/app/github.com/kubeflow/katib:/usr/src/app/github.com/kubeflow/katib/pkg/api/suggestion/v1alpha3/python:/usr/src/app/github.com/kubeflow/katib/cmd/suggestion/v1alpha3/darts/cnn
+
+ENTRYPOINT ["python", "service.py"]

cmd/suggestion/v1alpha3/darts/client.py

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+# sample client for GRPC getSuggestions
+import grpc
+import time
+from concurrent import futures
+
+from pkg.api.suggestion.v1alpha3.python import oneshot_pb2_grpc
+from pkg.api.suggestion.v1alpha3.python import oneshot_pb2
+
+ADDRESS = '127.0.0.1:6789'
+
+def main():
+    channel = grpc.insecure_channel(ADDRESS)
+    stub = oneshot_pb2_grpc.OneshotSuggestionStub(channel)
+    request = oneshot_pb2.GetOneshotSuggestionRequest()
+    reply = stub.GetSuggestions(request)
+    cnt = 0
+    for reply_item in reply:
+        cnt += 1
+        print(reply_item)
+    print(cnt) # how many chunks are received
+
+if __name__ == "__main__":
+    main()