TFRT kerenl change to cuda shared memory from 0.1 to 0

Author: hephaex

python-tensorflow/Dockerfile.1.15-py36-cuda10.0

@@ -40,7 +40,7 @@ LABEL ai.backend.kernelspec="1" \
       ai.backend.resource.min.cpu="1" \
       ai.backend.resource.min.mem="1g" \
       ai.backend.resource.min.cuda.device=1 \
-      ai.backend.resource.min.cuda.shares=0.1 \
+      ai.backend.resource.min.cuda.shares=0 \
       ai.backend.runtime-type="python" \
       ai.backend.runtime-path="/usr/bin/python3" \
       ai.backend.service-ports="jupyter:http:8080,jupyterlab:http:8090,ipython:pty:3000,tensorboard:http:6006"

python-tensorflow/Dockerfile.2.1-py36-cuda10.1

@@ -99,7 +99,7 @@ LABEL ai.backend.kernelspec="1" \
       ai.backend.resource.min.cpu="1" \
       ai.backend.resource.min.mem="1g" \
       ai.backend.resource.min.cuda.device=1 \
-      ai.backend.resource.min.cuda.shares=0.1 \
+      ai.backend.resource.min.cuda.shares=0 \
       ai.backend.runtime-type="python" \
       ai.backend.runtime-path="/usr/bin/python3" \
       ai.backend.service-ports="ipython:pty:3000,tensorboard:http:6006,jupyter:http:8080,jupyterlab:http:8090"