def mkMadd():
x = dataflow.Variable('xd', valid='xv', signed=True)
y = dataflow.Variable('yd', valid='yv', signed=True)
vreset = dataflow.Variable('vreset_data', valid='vreset', width=1)
xy = x * y
z = dataflow.Iadd(xy, signed=True, initval=0, reset=vreset)
z.output('zd', valid='zv')
df = dataflow.Dataflow(z)
m = df.to_module('madd')
return m
def mkMain():
# input variiable
x = dataflow.Variable('xdata', valid='xvalid', ready='xready')
# dataflow definition
z = dataflow.Iadd(x, initval=0)
# set output attribute
z.output('zdata', valid='zvalid', ready='zready')
df = dataflow.Dataflow(z)
m = df.to_module('main')
#df.draw_graph()
return m
def mkMain():
# input variiable
x = dataflow.Variable('xdata', valid='xvalid', ready='xready')
y = dataflow.Variable('ydata', valid='yvalid', ready='yready')
reset = dataflow.Variable('resetdata',
valid='resetvalid',
ready='resetready',
width=1)
# dataflow definition
v = x * y
z = dataflow.Iadd(v, initval=0, reset=reset)
# set output attribute
z.output('zdata', valid='zvalid', ready='zready')
df = dataflow.Dataflow(z)
m = df.to_module('main')
#df.draw_graph()
return m