Simulation: automatic fast simulation if no conversion required. close …

…#267

pyha/common/core.py

@@ -22,6 +22,9 @@ class PyhaFunc:
     """ All functions of a Pyha class will be wrapped in this object, calls to original function are done with 'profiler hack' in
     order to save the local variables. """
 
+    # if true, just call the function.. 10 x faster (but VHDL generation not supported)
+    bypass = False
+
     class TraceManager:
         """ Enables nested functions calls, thanks to ref counting """
         last_call_locals = {}
@@ -140,6 +143,9 @@ def update_output_types(self, ret):
                 self.output_types[i] = v
 
     def __call__(self, *args, **kwargs):
+        if PyhaFunc.bypass:
+            return self.func(*args, **kwargs)
+
         self.update_input_types(args, kwargs)
         self.calls += 1
 

pyha/simulation/simulation_interface.py

@@ -14,6 +14,7 @@
 from pyha import Hardware
 from pyha.common.complex import default_complex
 from pyha.common.context_managers import RegisterBehaviour, SimulationRunning, SimPath, AutoResize
+from pyha.common.core import PyhaFunc
 from pyha.common.fixed_point import Sfix, default_sfix
 from pyha.common.stream import packetize, Stream, unpacketize
 from pyha.common.util import get_iterable, np_to_py
@@ -51,7 +52,7 @@ def is_list(x):
         for i, arg in enumerate(args):
             arg = get_iterable(arg)
 
-            if  to_types is not None and not is_list(arg[0]):
+            if to_types is not None and not is_list(arg[0]):
                 args[i] = convert_arg(None, arg, i)
             elif any(isinstance(x, float) for x in arg):
                 args[i] = convert_arg(default_sfix, arg, i)
@@ -221,6 +222,13 @@ def types_from_pyha_to_python(pyha_types):
     if 'MODEL_PYHA' in simulations:
         model_pyha = deepcopy(model)  # used for MODEL_PYHA (need to copy before SimulationRunning starts)
 
+    # Speed up simulation if VHDL conversion is not required!
+    if 'RTL' not in simulations and 'GATE' not in simulations:
+        PyhaFunc.bypass = True
+        logger.info(f'Enabled fast simulation')
+    else:
+        PyhaFunc.bypass = False
+
     with SimulationRunning.enable():
         if 'MODEL' in simulations:
             logger.info(f'Running "MODEL" simulation...')