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No stack trace in paddle, may be caused by external reasons.
Error Message Summary:
FatalError: Segmentation fault is detected by the operating system.
[TimeInfo: *** Aborted at 1732536447 (unix time) try "date -d @1732536447" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x0) received by PID 312 (TID 0x7f5cd301c700) from PID 0 ***]
--- Logging error ---
Traceback (most recent call last):
File "/usr/local/lib/python3.6/logging/init.py", line 989, in emit
stream.write(msg)
UnicodeEncodeError: 'ascii' codec can't encode character '\u2019' in position 576: ordinal not in range(128)
Call stack:
File "/usr/local/lib/python3.6/threading.py", line 884, in _bootstrap
self._bootstrap_inner()
File "/usr/local/lib/python3.6/threading.py", line 916, in _bootstrap_inner
self.run()
File "/usr/local/lib/python3.6/threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "/usr/local/lib/python3.6/concurrent/futures/thread.py", line 66, in _worker
work_item.run()
File "/usr/local/lib/python3.6/concurrent/futures/thread.py", line 55, in run
result = self.fn(*self.args, **self.kwargs)
File "/usr/local/lib/python3.6/site-packages/grpc/_server.py", line 553, in _unary_response_in_pool
argument, request_deserializer)
File "/usr/local/lib/python3.6/site-packages/grpc/_server.py", line 435, in _call_behavior
response_or_iterator = behavior(argument, context)
File "/usr/local/lib/python3.6/site-packages/paddle_serving_server/pipeline/pipeline_server.py", line 73, in inference
resp = self._dag_executor.call(request)
File "/usr/local/lib/python3.6/site-packages/paddle_serving_server/pipeline/dag.py", line 420, in call
resp_channeldata.error_info))
Message: "(data_id=1 log_id=0) Failed to predict: [det] failed to predict. (data_id=1 log_id=1) [det|0] Failed to process(batch: [1]): (External) CUSOLVER error(7). \n [Hint: 'CUSOLVER_STATUS_INTERNAL_ERROR'. An internal cuSolver operation failed. This error is usually caused by a cudaMemcpyAsync() failure.To correct: check that the hardware, an appropriate version of the driver, and the cuSolver library are correctly installed. Also, check that the memory passed as a parameter to the routine is not being deallocated prior to the routine\u2019s completion.] (at /paddle/paddle/phi/backends/gpu/gpu_context.cc:548)\n. Please check the input dict and checkout PipelineServingLogs/pipeline.log for more details."
Arguments: ()
The text was updated successfully, but these errors were encountered:
W1125 12:07:24.788084 312 gpu_context.cc:278] Please NOTE: device: 0, GPU Compute Capability: 8.6, Driver API Version: 12.2, Runtime API Version: 10.2
W1125 12:07:24.792352 312 gpu_context.cc:306] device: 0, cuDNN Version: 8.1.
C++ Traceback (most recent call last):
No stack trace in paddle, may be caused by external reasons.
Error Message Summary:
FatalError:
Segmentation fault
is detected by the operating system.[TimeInfo: *** Aborted at 1732536447 (unix time) try "date -d @1732536447" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x0) received by PID 312 (TID 0x7f5cd301c700) from PID 0 ***]
--- Logging error ---
Traceback (most recent call last):
File "/usr/local/lib/python3.6/logging/init.py", line 989, in emit
stream.write(msg)
UnicodeEncodeError: 'ascii' codec can't encode character '\u2019' in position 576: ordinal not in range(128)
Call stack:
File "/usr/local/lib/python3.6/threading.py", line 884, in _bootstrap
self._bootstrap_inner()
File "/usr/local/lib/python3.6/threading.py", line 916, in _bootstrap_inner
self.run()
File "/usr/local/lib/python3.6/threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "/usr/local/lib/python3.6/concurrent/futures/thread.py", line 66, in _worker
work_item.run()
File "/usr/local/lib/python3.6/concurrent/futures/thread.py", line 55, in run
result = self.fn(*self.args, **self.kwargs)
File "/usr/local/lib/python3.6/site-packages/grpc/_server.py", line 553, in _unary_response_in_pool
argument, request_deserializer)
File "/usr/local/lib/python3.6/site-packages/grpc/_server.py", line 435, in _call_behavior
response_or_iterator = behavior(argument, context)
File "/usr/local/lib/python3.6/site-packages/paddle_serving_server/pipeline/pipeline_server.py", line 73, in inference
resp = self._dag_executor.call(request)
File "/usr/local/lib/python3.6/site-packages/paddle_serving_server/pipeline/dag.py", line 420, in call
resp_channeldata.error_info))
Message: "(data_id=1 log_id=0) Failed to predict: [det] failed to predict. (data_id=1 log_id=1) [det|0] Failed to process(batch: [1]): (External) CUSOLVER error(7). \n [Hint: 'CUSOLVER_STATUS_INTERNAL_ERROR'. An internal cuSolver operation failed. This error is usually caused by a cudaMemcpyAsync() failure.To correct: check that the hardware, an appropriate version of the driver, and the cuSolver library are correctly installed. Also, check that the memory passed as a parameter to the routine is not being deallocated prior to the routine\u2019s completion.] (at /paddle/paddle/phi/backends/gpu/gpu_context.cc:548)\n. Please check the input dict and checkout PipelineServingLogs/pipeline.log for more details."
Arguments: ()
The text was updated successfully, but these errors were encountered: