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CI: Add confs for test with nrUE using CUDA
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committed by
Raymond Knopp
parent
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commit
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192
ci-scripts/xml_files/container_sa_b200_nrue_cuda_jetson.xml
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192
ci-scripts/xml_files/container_sa_b200_nrue_cuda_jetson.xml
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<!-- SPDX-License-Identifier: LicenseRef-CSSL-1.0 -->
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<testCaseList>
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<htmlTabRef>JETSON-5G-NRUE-CUDA</htmlTabRef>
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<htmlTabName>30 MHz TDD SA JETSON with CUDA</htmlTabName>
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<htmlTabIcon>tasks</htmlTabIcon>
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<testCase>
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<class>DeployCoreNetwork</class>
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<desc>Initialize 5G Core</desc>
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<cn_id>oc-cn5g-00104</cn_id>
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</testCase>
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<testCase>
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<class>Pull_Local_Registry</class>
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<desc>Pull Images from Local Registry</desc>
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<node>jetson2-oai</node>
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<images>oai-nr-ue</images>
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<tag_prefix>armv8_cuda_</tag_prefix>
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</testCase>
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<testCase>
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<class>Pull_Local_Registry</class>
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<desc>Pull Images from Local Registry</desc>
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<node>gracehopper1-oai</node>
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<images>oai-gnb-aerial</images>
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<tag_prefix>arm_</tag_prefix>
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</testCase>
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<testCase>
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<class>Create_Workspace</class>
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<desc>Create new Workspace</desc>
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<node>jetson2-oai</node>
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</testCase>
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<testCase>
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<class>Create_Workspace</class>
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<desc>Create new Workspace</desc>
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<node>gracehopper1-oai</node>
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</testCase>
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<testCase>
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<class>Custom_Script</class>
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<desc>Configure 30 MHz bandwidth on WNC RU</desc>
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<node>gracehopper1-oai</node>
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<script>scripts/set-wnc-bandwidth.sh</script>
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<args>30</args>
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</testCase>
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<testCase>
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<class>Deploy_Object</class>
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<desc>Deploy PNF/Nvidia CUBB in a container</desc>
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<node>gracehopper1-oai</node>
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<yaml_path>ci-scripts/yaml_files/sa_gnb_aerial_30MHz</yaml_path>
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<services>nv-cubb</services>
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</testCase>
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<testCase>
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<class>Deploy_Object</class>
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<desc>Deploy VNF in a container</desc>
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<node>gracehopper1-oai</node>
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<yaml_path>ci-scripts/yaml_files/sa_gnb_aerial_30MHz</yaml_path>
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<services>oai-gnb-aerial</services>
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</testCase>
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<testCase>
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<class>Deploy_Object</class>
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<desc>Deploy nrUE (TDD/Band78/40MHz/N310) in a container</desc>
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<yaml_path>ci-scripts/yaml_files/sa_b200_jetson_cuda_nrue</yaml_path>
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<node>jetson2-oai</node>
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<num_attempts>3</num_attempts>
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</testCase>
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<testCase>
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<class>Attach_UE</class>
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<desc>Attach OAIUE</desc>
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<id>oai_ue_jetson2</id>
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</testCase>
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<testCase>
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<class>Custom_Command</class>
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<desc>Configure IP route</desc>
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<node>jetson2-oai</node>
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<command>sudo ip route add 172.21.6.105 via 13.1.1.100 dev oaitun_ue1</command>
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</testCase>
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<testCase>
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<class>Ping</class>
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<desc>Ping: 20pings in 20sec</desc>
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<id>oai_ue_jetson2</id>
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<svr_id>oc-cn5g-00104</svr_id>
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<ping_args>-c 20</ping_args>
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<ping_packetloss_threshold>1</ping_packetloss_threshold>
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<ping_rttavg_threshold>25</ping_rttavg_threshold>
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</testCase>
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<testCase>
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<class>Iperf</class>
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<desc>iperf (UL/10Mbps/UDP)(30 sec)</desc>
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<iperf_args>-u -b 10M -t 30 -i 1</iperf_args>
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<id>oai_ue_jetson2</id>
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<svr_id>oc-cn5g-00104</svr_id>
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<iperf_packetloss_threshold>25</iperf_packetloss_threshold>
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<iperf_bitrate_threshold>80</iperf_bitrate_threshold>
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</testCase>
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<testCase>
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<class>Iperf</class>
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<desc>iperf (DL/10Mbps/UDP)(30 sec)</desc>
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<iperf_args>-u -b 10M -t 30 -i 1 -R</iperf_args>
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<id>oai_ue_jetson2</id>
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<svr_id>oc-cn5g-00104</svr_id>
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<iperf_packetloss_threshold>25</iperf_packetloss_threshold>
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<iperf_bitrate_threshold>80</iperf_bitrate_threshold>
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</testCase>
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<testCase>
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<class>Iperf</class>
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<desc>iperf (UL/30Mbps/UDP)(30 sec)</desc>
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<may_fail>true</may_fail>
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<iperf_args>-u -b 30M -t 30 -i 1</iperf_args>
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<id>oai_ue_jetson2</id>
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<svr_id>oc-cn5g-00104</svr_id>
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<iperf_packetloss_threshold>25</iperf_packetloss_threshold>
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<iperf_bitrate_threshold>80</iperf_bitrate_threshold>
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</testCase>
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<testCase>
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<class>Iperf</class>
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<desc>iperf (DL/30Mbps/UDP)(30 sec)</desc>
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<may_fail>true</may_fail>
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<iperf_args>-u -b 30M -t 30 -i 1 -R</iperf_args>
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<id>oai_ue_jetson2</id>
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<svr_id>oc-cn5g-00104</svr_id>
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<iperf_packetloss_threshold>25</iperf_packetloss_threshold>
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<iperf_bitrate_threshold>80</iperf_bitrate_threshold>
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</testCase>
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<testCase>
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<class>Undeploy_Object</class>
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<always_exec>true</always_exec>
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<desc>Undeploy nr UE</desc>
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<node>jetson2-oai</node>
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<yaml_path>ci-scripts/yaml_files/sa_b200_jetson_cuda_nrue</yaml_path>
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<analysis>
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<services>oai-nr-ue</services>
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</analysis>
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</testCase>
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<testCase>
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<class>Undeploy_Object</class>
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<always_exec>true</always_exec>
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<desc>Undeploy gNB</desc>
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<node>gracehopper1-oai</node>
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<yaml_path>ci-scripts/yaml_files/sa_gnb_aerial_30MHz</yaml_path>
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<analysis>
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<services>oai-gnb-aerial=RetxCheck=20,100,100,100 oai-gnb-aerial=EndsWithBye</services>
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</analysis>
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</testCase>
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<testCase>
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<class>Custom_Script</class>
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<always_exec>true</always_exec>
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<desc>Configure 100 MHz bandwidth on WNC RU</desc>
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<node>gracehopper1-oai</node>
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<script>scripts/set-wnc-bandwidth.sh</script>
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<args>100</args>
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</testCase>
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<testCase>
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<class>Clean_Test_Server_Images</class>
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<always_exec>true</always_exec>
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<desc>Clean Test Images on Test Server</desc>
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<node>gracehopper1-oai</node>
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<images>oai-gnb-aerial</images>
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</testCase>
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<testCase>
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<class>Clean_Test_Server_Images</class>
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<always_exec>true</always_exec>
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<desc>Clean Test Images on Test Server</desc>
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<node>jetson2-oai</node>
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<images>oai-nr-ue</images>
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</testCase>
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<testCase>
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<class>UndeployCoreNetwork</class>
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<always_exec>true</always_exec>
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<desc>Terminate 5G Core</desc>
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<cn_id>oc-cn5g-00104</cn_id>
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</testCase>
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</testCaseList>
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@@ -0,0 +1,40 @@
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# SPDX-License-Identifier: MIT
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services:
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oai-nr-ue:
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image: ${REGISTRY-oaisoftwarealliance/}${NRUE_IMG:-oai-nr-ue}:${TAG:-develop}
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network_mode: host
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runtime: nvidia
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container_name: oai-nr-ue
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cap_drop:
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- ALL
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cap_add:
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- NET_ADMIN # for interface bringup
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- NET_RAW # for ping
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- SYS_NICE # for performance
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- IPC_LOCK # for memory locking
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devices:
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- /dev/net/tun:/dev/net/tun
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- /dev/bus/usb/:/dev/bus/usb/
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ulimits:
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core: -1 # for core dumps
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environment:
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TZ: Europe/Paris
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USE_B2XX: 'yes'
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USE_ADDITIONAL_OPTIONS: --usrp-args type=b200 -C 3350010000 -r 78 --numerology 1 --band 78 --ssb 345 --ue-fo-compensation --uicc0.imsi 001040000000001 --uicc0.pdu_sessions.[0].dnn oai.ipv4 --thread-pool 5,6,7,8,9 --ue-txgain 15 --ue-rxgain 90 --loader.ldpc.shlibversion _cuda -A 60
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cpuset: "3-11"
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volumes:
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- ../../conf_files/ue.sa.conf:/opt/oai-nr-ue/etc/nr-ue.conf
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healthcheck:
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test: /bin/bash -c "pgrep nr-uesoftmodem"
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interval: 10s
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timeout: 5s
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retries: 5
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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