def min_parallel(v, length):
srcs = [v.prev(i) for i in range(length)]
while len(srcs) > 1:
next_srcs = []
while srcs:
a = srcs.pop(0)
b = srcs.pop(0) if srcs else None
if b is None:
next_srcs.append(a)
else:
next_srcs.append(dataflow.Mux(a < b, a, b))
srcs = next_srcs
return srcs[0]
def mkMain():
# input variiable
x = dataflow.Variable('xdata', valid='xvalid', ready='xready')
y = dataflow.Variable('ydata', valid='yvalid', ready='yready')
# dataflow definition
z = dataflow.Mux(x < y, x, y)
# set output attribute
z.output('zdata', valid='zvalid', ready='zready')
df = dataflow.Dataflow(z)
m = df.to_module('main')
return m
def mkMain():
# input variiable
x = dataflow.Variable('xdata', valid='xvalid', ready='xready')
y = dataflow.Variable('ydata', valid='yvalid', ready='yready')
# Mux with constant condition: only true_value is selected
z = dataflow.Mux(1, x + y, x - y)
# set output attribute
z.output('zdata', valid='zvalid', ready='zready')
df = dataflow.Dataflow(z)
m = df.to_module('main')
return m
def min_serial(v, length):
ret = v
for i in range(1, length):
prev = v.prev(i)
ret = dataflow.Mux(ret < prev, ret, prev)
return ret
def mux(cond, x, y):
if dataflow.is_dataflow_object(cond, x, y):
return dataflow.Mux(cond, x, y)
return x if cond else y
