load to gpu seems to work but the values are different than from python?

test_read.py

@@ -1,5 +1,6 @@
 import numpy as np
 from netCDF4 import Dataset
+from math import prod
 
 # Load the NetCDF file
 file_path = 'data/MERRA2_400.inst6_3d_ana_Np.20120101.nc4'
@@ -10,8 +11,8 @@ print(ncfile.variables.keys())
 
 U = ncfile.variables['T'][:] 
 
-# Check the shape of the variable (it should be 3D)
-print("Shape of U:", U.shape)
+# Check the shape of the variable
+print(f"Shape of U: {U.shape} and total length is {prod(U.shape)}")
 
 # Compute the mean of the variable across all axes (for all elements in U)
 U_mean = np.mean(U)
@@ -19,5 +20,11 @@ U_mean = np.mean(U)
 # Print the mean
 print("Mean of U:", U_mean)
 
+print(f"{U[0,0,0,1]=}")
+is_masked = np.ma.isMaskedArray(U)
+print(f"Is U a masked array? {is_masked}")
+masked_count = np.ma.count_masked(U)
+print("Number of masked values in U:", masked_count)
+
 # Close the NetCDF file
 ncfile.close()