Write matrix size estimate when running model_maker

src/scripts/model_maker.py

@@ -418,13 +418,16 @@ def load_model(model_file):
             write_obj(sconf, gconf, max_rad)
         try:
             max_gpu_ram = int(model['system_settings']['max_gpu_ram'])
+            matrix_dim = 2 * gconf['nsph'] * gconf['li'] * (gconf['li'] + 2)
+            matrix_size_bytes = 16 * matrix_dim * matrix_dim
+            matrix_size_Gb = float(matrix_size_bytes) / 1024.0 / 1024.0 / 1024.0
+            print("INFO: estimated matrix size is {0:.3g} Gb.".format(matrix_size_Gb))
             if (max_gpu_ram > 0):
                 max_gpu_ram_bytes = max_gpu_ram * 1024 * 1024 * 1024
-                matrix_dim = 2 * gconf['nsph'] * gconf['li'] * (gconf['li'] + 2)
-                matrix_size_bytes = 16 * matrix_dim * matrix_dim
                 if (matrix_size_bytes < max_gpu_ram_bytes):
                     max_gpu_processes = int(max_gpu_ram_bytes / matrix_size_bytes)
                     print("INFO: system supports up to %d simultaneous processes on GPU."%max_gpu_processes)
+                    print("INFO: only %d GPU processes allowed, if using refinement."%(max_gpu_processes / 3))
                 else:
                     print("WARNING: estimated matrix size is larger than available GPU memory!")
             else: