Failed to interpolate MODIS Chlorophyll-a Data

[hidayatmn378]

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

• operating system: Ubuntu 16.04.7 LTS
• Python version 3.7.12
• Tensorflow version 1.15.0
• DINCAE version v1.1.0 (Latest)

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" ;
}`

[jsihunh]

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.

[hidayatmn378]

Thank you for your help. Now it works...