Tidy memory info printing for OpenCL

gprMax/model_build_run.py

@@ -346,12 +346,12 @@ class ModelBuildRun:
         self.write_output_data()
 
         # Print information about memory usage and solving time for a model
-        # Add a string on GPU memory usage if applicable
-        mem_str = (
-            f" host + ~{humanize.naturalsize(solver.memused)} GPU"
-            if config.sim_config.general["solver"] == "cuda"
-            else ""
-        )
+        # Add a string on device (GPU) memory usage if applicable
+        mem_str = ""
+        if config.sim_config.general["solver"] == "cuda":
+            mem_str = f" host + ~{humanize.naturalsize(solver.memused)} device"
+        elif config.sim_config.general["solver"] == "opencl":
+            mem_str = f" host + unknown for device"      
 
         logger.info(f"\nMemory used (estimated): " + f"~{humanize.naturalsize(self.p.memory_full_info().uss)}{mem_str}")
         logger.info(

gprMax/updates.py

@@ -1308,7 +1308,7 @@ class OpenCLUpdates:
         self.event_marker1.wait()
 
     def calculate_memory_used(self, iteration):
-        """Calculates memory used on last iteration.
+        """Calculates memory used on last iteration. 
 
         Args:
             iteration: int for iteration number.
@@ -1316,9 +1316,8 @@ class OpenCLUpdates:
         Returns:
             Memory (RAM) used on compute device.
         """
-        # if iteration == self.grid.iterations - 1:
-        #     return self.drv.mem_get_info()[1] - self.drv.mem_get_info()[0]
-        logger.debug("Look at memory estimate for pyopencl")
+        # No clear way to determine memory used from PyOpenCL unlike PyCUDA.
+        pass
 
     def calculate_solve_time(self):
         """Calculates solving time for model."""