I am training a model with LightGBM where I am getting the following error that happens without a pattern (sometimes the training finish without any error on the same exact input data).
[LightGBM] [Fatal] Unknown token a-05 in data file
[LightGBM] [Warning] Unknown token a-05 in data file
terminate called after throwing an instance of 'std::runtime_error'
what(): Unknown token a-05 in data file
Aborted (core dumped)
My best guess is that this error has something to do with the physical memory.
Related
The export is failing due to below error
ORA-31693: Table data object "x"."x_t" failed to load/unload and is being skipped due to error:
ORA-31643: unable to close dump file ""
Anyone has knowledge regarding this issue, please help out
I was doing some groupby parallel computation with dask using pyarrow to load parquet files from s3. However, the same piece of code may run or fail (with different error messages) with random chances. Same issue happened when using fastparquet:
File "pyarrow/_parquet.pyx", line 1036, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 80, in pyarrow.lib.check_status
pyarrow.lib.ArrowIOError: Arrow error: IOError: [SSL: DECRYPTION_FAILED_OR_BAD_RECORD_MAC] decryption failed or bad record mac (_ssl.c:2309). Detail: Python exception: ssl.SSLError
or failing with different error:
File "pyarrow/_parquet.pyx", line 1036, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 80, in pyarrow.lib.check_status
pyarrow.lib.ArrowIOError: Arrow error: IOError: [SSL: WRONG_VERSION_NUMBER] wrong version number (_ssl.c:2309). Detail: Python exception: ssl.SSLError
The dask scheduler I was using is processes. It works fine with threads but will be extremely slow. Is this behavior expected for dask?
I am trying to import a model that was trained and saved using H2O 3.22.0.2.
The error is as follows:
INFO ERROR: Server error water.exceptions.H2OIllegalArgumentException:
Error: Illegal argument: dir of function: importModel: /home/centos/models/model_20190202_1204/DeepLearning_model_python_1549126947138_1
Request: POST /99/Models.bin/
data: {'dir': '/home/centos/models/model_20190202_1204/DeepLearning_model_python_1549126947138_1'}
The version running in the server is h2o==3.22.0.2.
I have run a prediction using this model file locally with no issues.
Could anyone provide any clues as to what might be going on? Thanks.
UPDATE:
I am attempting to load the model using h2o.load_model(model_path)
I'm following the Adapting Default Acoustic model tutorial and have hit a error running mllr_solve.
INFO: main.c(382): -- 1. Read input mean, (var) and accumulation.
ERROR: "pio.c", line 434: fread() failed; retrying...
: No error
ERROR: "swap.c", line 79: error while reading bo_magic
ERROR: "s3io.c", line 177: Error reading byte order magic number
ERROR: "s3io.c", line 265: Error reading header for en-us-8khz\means
FATAL: "main.c", line 392: Couldn't read en-us-8khz\means
I compiled sphinxtrain and sphinxbase using Visual Studio 2017 using 'Release\Win32'.
Is there anyway to change the means/variances files or change s3io.c?
This issue is most likely caused by runtime incompatibility between sphinxbase and sphinxtrain. Time to blame Windows designers, not software
https://cmusphinx.github.io/wiki/faq/#q-pocketsphinx-crashes-on-windows-in-_lock_file
I am running whck performance tests on our camera, the test that currently fails is:
Webcam Performance System Test - WNCameraRequirements
the test iterates thourgh the camera media types and records a etl file as expected, its stops and closes the camera but then the test fails due to the parsing of the etl file, the logs:
Start Operation: parseEtl average 250 endGuid
{B8197C10-845F-40ca-82AB-9341E98CFC2B} endId 215 max 275 name Time to
switch Preview MediaTypes scenario DiffEventSeries skip 1 startGuid
{B8197C10-845F-40ca-82AB-9341E98CFC2B} startId 243
Parsing Etl: previewIterateMediaTypes_7-20_10-22-58.etl
Warning: CoCreateInstance(CLSID_EtwFilter, NULL, CLSCTX_ALL, IID_IEtwFilter,
(void**)spEtwFilter.ReleaseAndGetAddressOf()) failed with
REGDB_E_CLASSNOTREG (0x80040154)
Warning:
* File: testsrc\multimediatest\common\helpers\capture\videocaptureperf\videocaptureperf.cpp
Ln: 260
Warning: DiffEventSeries( etlFileName, pszStartEventGuid,
startId, pszEndEventGuid, endId, &min, &max, &ave, skip,
m_spLog.Get()) failed with REGDB_E_CLASSNOTREG (0x80040154)
Warning:
* File: testsrc\multimediatest\common\helpers\capture\captureengine\captureengineautomation.cpp
Ln: 2109
Error: parseEtl Failed with error REGDB_E_CLASSNOTREG
(0x80040154)
I tried searcing for a missing dll for ETW but I found nothing related. seems like theres a bug in the whck test while trying to parse the generated etl file... is this Error seems familier to anyone??
thanks!
I used the wrong whql tests platform version (needed x64), and I needed to regsvr32 etwpatterns.dll. that being said, this test is filtered out by microsoft (whql filters) so we eventually ignored it.