Graph Composer start up error

Please provide complete information as applicable to your setup.

• RTX A6000(GPU)
• DeepStream Version 6.3
• TensorRT Version 8.5
• NVIDIA GPU Driver Version 525.125.06(valid for GPU only)
• Issue Type( questions )

I am trying to work with the graph composer on the new DS 6.3. When I startup the composer, I receive the following errors:

2023-08-21 01:25:27  [Error] [omni.exp.graph.composer.registry_window] Failed to get repo list: <AioRpcError of RPC that terminated with:
2023-08-21 01:25:27  [Error] [omni.exp.graph.composer.registry_window] 	status = StatusCode.UNAVAILABLE
2023-08-21 01:25:27  [Error] [omni.exp.graph.composer.registry_window] 	details = "failed to connect to all addresses"
2023-08-21 01:25:27  [Error] [omni.exp.graph.composer.registry_window] 	debug_error_string = "{"created":"@1692581127.726655544","description":"Failed to pick subchannel","file":"src/core/ext/filters/client_channel/client_channel.cc","file_line":3260,"referenced_errors":[{"created":"@1692581127.726654421","description":"failed to connect to all addresses","file":"src/core/lib/transport/error_utils.cc","file_line":167,"grpc_status":14}]}"
2023-08-21 01:25:27  [Error] [omni.exp.graph.composer.registry_window] >
2023-08-21 01:25:28  [Error] [omni.exp.graph.composer.node_registry_model] Registry Model update failed

How to solve this problem?

1 Like

I am experiencing the same problem. It effects both local install as well as docker image.

Solution can be found at the link below. TLDR, first run “gxf_server” in a terminal then start up composer and you will be able to use the program.

Please follow the instruction Application Workflow — DeepStream 6.3 Release documentation

I successfully started Graph Composer according to the above document, but encountered another issue. If I close the gxf_server terminal and then open another terminal to start gxf_ server, it will prompt that this service has been started and the Composer cannot run normally.

I found that restarting the computer can solve this problem. Is there a more convenient way?

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