Closed hidayatmn378 closed 1 year ago
Hello, your error was come from shortage of GPU capacity. i recommend to reduce your study area because your data dimension( lat(459 pixels) and lon(445 pixels)) was too large as input data in deep learning model.
Thank you for your help. Now it works...
Describe the bug
A description of what the bug is.
To Reproduce
Please provide a minimal code example which reproduces the behavior (bug, performance regression, ...).
Environment
Full output
In case of an error, please paste the full error message and stack trace. The file output attached record_modis_chl_3d.txt
Input file
Run the shell command
ncdump -h myfile.nc
and paste the output here. `netcdf input_file_python { dimensions: lon = 445 ; lat = 459 ; time = UNLIMITED ; // (3 currently) variables: float lon(lon) ; float lat(lat) ; float time(time) ; time:units = "days since 2021-01-01 00:00:00" ; float chl(time, lat, lon) ; chl:_FillValue = -9999.f ; int mask(lat, lon) ; mask:comment = "one means the data location is valid (e.g. sea for SST), zero the location is invalid (e.g. land for SST)" ;// global attributes: :_NCProperties = "version=2,netcdf=4.8.1,hdf5=1.12.2" ; }`