[ERROR]: convert to kmodel fail

[haoshuiwuxiang]

I used the docker image to run the train code ,and the train process is successful, but the kmode can't be made ,it report error.
The detail is list as :
2022-11-09 08:55:59,493 - [ERROR]: convert to kmodel fail
2022-11-09 08:55:59,493 - [ERROR]: failed: TrainFailReason.ERROR_INTERNAL, convert kmodel fail: output:
b''
error:
b"FailFast:\nCouldn't find a valid ICU package installed on the system. Set the configuration flag System.Globalization.Invariant to true if you want to run with no globalization support.\n\n at System.Environment.FailFast(System.String)\n at System.Globalization.GlobalizationMode.GetGlobalizationInvariantMode()\n at System.Globalization.GlobalizationMode..cctor()\n at System.Globalization.CultureData.CreateCultureWithInvariantData()\n at System.Globalization.CultureData.get_Invariant()\n at System.Globalization.CultureData.GetCultureData(System.String, Boolean)\n at System.Globalization.CultureInfo..ctor(System.String, Boolean)\n at System.Reflection.RuntimeAssembly.GetLocale()\n at System.Reflection.RuntimeAssembly.GetName(Boolean)\n at System.Reflection.Assembly.GetName()\n at System.Diagnostics.Tracing.EventPipeController.GetAppName()\n at System.Diagnostics.Tracing.EventPipeController..ctor()\n at System.Diagnostics.Tracing.EventPipeController.Initialize()\n at System.StartupHookProvider.ProcessStartupHooks()\n"

[alirezainallo]

hi
I think that have the same problem.
I do what this Doc say.
and i think that have problem in these two steps:
1)

2)

and try to train test_classifier_datasets for my first test, but don't return me .Kmodel file.
I use this command python3 train.py -t classifier -z datasets/test_classifier_datasets.zip train and return me this error:

2023-05-27 12:42:16,778 - [INFO]:  generate report image end
INFO:logger: generate report image end
2023-05-27 12:42:16,778 - [INFO]:  now generate kmodel
INFO:logger: now generate kmodel
2023-05-27 12:42:16,778 - [INFO]:  save model as .h5 file
INFO:logger: save model as .h5 file
2023-05-27 12:42:16,853 - [INFO]:  save model as .tflite file
INFO:logger: save model as .tflite file
2023-05-27 12:42:18.311221: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'inputs' with dtype float and shape [?,768]
	 [[{{node inputs}}]]
2023-05-27 12:42:19.756161: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'inputs' with dtype float and shape [?,768]
	 [[{{node inputs}}]]
WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 28). These functions will not be directly callable after loading.
2023-05-27 12:42:23.095415: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:364] Ignored output_format.
2023-05-27 12:42:23.095444: W tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc:367] Ignored drop_control_dependency.
2023-05-27 12:42:23.095762: I tensorflow/cc/saved_model/reader.cc:45] Reading SavedModel from: /tmp/tmpwxcqtttf
2023-05-27 12:42:23.103238: I tensorflow/cc/saved_model/reader.cc:89] Reading meta graph with tags { serve }
2023-05-27 12:42:23.103259: I tensorflow/cc/saved_model/reader.cc:130] Reading SavedModel debug info (if present) from: /tmp/tmpwxcqtttf
2023-05-27 12:42:23.127064: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:353] MLIR V1 optimization pass is not enabled
2023-05-27 12:42:23.135190: I tensorflow/cc/saved_model/loader.cc:231] Restoring SavedModel bundle.
2023-05-27 12:42:23.286738: I tensorflow/cc/saved_model/loader.cc:215] Running initialization op on SavedModel bundle at path: /tmp/tmpwxcqtttf
2023-05-27 12:42:23.337088: I tensorflow/cc/saved_model/loader.cc:314] SavedModel load for tags { serve }; Status: success: OK. Took 241326 microseconds.
2023-05-27 12:42:23.448409: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-05-27 12:42:23,699 - [ERROR]:  failed: TrainFailReason.ERROR_INTERNAL, node error:[Errno 13] Permission denied: '/home/alireza/Documents/maix_train/instance/../tools/ncc/ncc_v0.1/ncc'
ERROR:logger: failed: TrainFailReason.ERROR_INTERNAL, node error:[Errno 13] Permission denied: '/home/alireza/Documents/maix_train/instance/../tools/ncc/ncc_v0.1/ncc'

are you can solve the problem?