ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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[Feature Request] 2024-05-09 07:05:28.107324198 [E:onnxruntime:Default, cann_call.cc:139 CannCall] CANNGRAPH failure -1: GRAPH_FAILED ; NPU=0 ; hostname=d5624f2a4431 ; expr=ge::aclgrphParseONNXFromMem(string_model.data(), string_model.size(), parser_params, graph); 2024-05-09 07:05:28.108008819 [E:onnxruntime:, sequential_executor.cc:516 ExecuteKernel] Non-zero status code returned while running main_graph_12023255667024707207_0 node. Name:'CANNExecutionProvider_main_graph_12023255667024707207_0_0' Status Message: CANN Graph error executing ge::aclgrphParseONNXFromMem(string_model.data(), string_model.size(), parser_params, graph) #20617
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unmannedsupz opened 4 months ago
edgchen1
commented
4 months ago
Describe the feature request
2024-05-09 07:05:28.107324198 [E:onnxruntime:Default, cann_call.cc:139 CannCall] CANNGRAPH failure -1: GRAPH_FAILED ; NPU=0 ; hostname=d5624f2a4431 ; expr=ge::aclgrphParseONNXFromMem(string_model.data(), string_model.size(), parser_params, graph); 2024-05-09 07:05:28.108008819 [E:onnxruntime:, sequential_executor.cc:516 ExecuteKernel] Non-zero status code returned while running main_graph_12023255667024707207_0 node. Name:'CANNExecutionProvider_main_graph_12023255667024707207_0_0' Status Message: CANN Graph error executing ge::aclgrphParseONNXFromMem(string_model.data(), string_model.size(), parser_params, graph)
Describe scenario use case
2024-05-09 07:05:28.107324198 [E:onnxruntime:Default, cann_call.cc:139 CannCall] CANNGRAPH failure -1: GRAPH_FAILED ; NPU=0 ; hostname=d5624f2a4431 ; expr=ge::aclgrphParseONNXFromMem(string_model.data(), string_model.size(), parser_params, graph); 2024-05-09 07:05:28.108008819 [E:onnxruntime:, sequential_executor.cc:516 ExecuteKernel] Non-zero status code returned while running main_graph_12023255667024707207_0 node. Name:'CANNExecutionProvider_main_graph_12023255667024707207_0_0' Status Message: CANN Graph error executing ge::aclgrphParseONNXFromMem(string_model.data(), string_model.size(), parser_params, graph)