def apply(self): # Apply schedule
#print 'apply schedule:'
#print str(self)
halide.inline_all(self.root_func)
scope = halide.all_vars(self.root_func)
#print 'scope', scope.keys()
new_vars = self.new_vars()
#print 'new_vars', new_vars
for varname in new_vars:
scope[varname] = instantiate_var(varname)
print 'scope:', scope
def callback(f, parent):
name = f.name()
if name in self.d:
s = str(self.d[name])
s = s.replace(name + '.', '__func.')
scope['__func'] = f
exec s in scope
halide.visit_funcs(self.root_func, callback)
def apply(self): # Apply schedule
#print 'apply schedule:'
#print str(self)
halide.inline_all(self.root_func)
scope = halide.all_vars(self.root_func)
#print 'scope', scope.keys()
new_vars = self.new_vars()
#print 'new_vars', new_vars
for varname in new_vars:
scope[varname] = instantiate_var(varname)
print 'scope:', scope
def callback(f, parent):
name = f.name()
if name in self.d:
s = str(self.d[name])
s = s.replace(name + '.', '__func.')
scope['__func'] = f
exec s in scope
halide.visit_funcs(self.root_func, callback)
def apply(self, constraints, verbose=False): # Apply schedule
#verbose = True
#print 'apply schedule:'
#print str(self)
#halide.inline_all(self.root_func)
scope = halide.all_vars(self.root_func)
#print 'scope', scope.keys()
new_vars = self.new_vars()
if verbose:
print 'apply, new_vars', new_vars
for varname in new_vars:
scope[varname] = instantiate_var(varname)
if verbose:
print 'apply, scope:', scope
def callback(f, parent):
name = f.name()
if verbose:
print 'apply, name', name, constraints
if name in constraints.exclude_names:
if verbose:
print ' constrained, skipping'
return
if name in self.d:
s = str(self.d[name])
f.reset()
s = s.replace(name + '.', '__func.')
scope['__func'] = f
#print 'apply', s
#print scope, s
if verbose:
print ' exec', s
exec s in scope
else:
if verbose:
print ' not in d, reset'
f.reset()
halide.visit_funcs(self.root_func, callback)
def apply(self, constraints, verbose=False): # Apply schedule
#verbose = True
#print 'apply schedule:'
#print str(self)
#halide.inline_all(self.root_func)
scope = halide.all_vars(self.root_func)
#print 'scope', scope.keys()
new_vars = self.new_vars()
if verbose:
print 'apply, new_vars', new_vars
for varname in new_vars:
scope[varname] = instantiate_var(varname)
if verbose:
print 'apply, scope:', scope
def callback(f, parent):
name = f.name()
if verbose:
print 'apply, name', name, constraints
if name in constraints.exclude_names:
if verbose:
print ' constrained, skipping'
return
if name in self.d:
s = str(self.d[name])
f.reset()
s = s.replace(name + '.', '__func.')
scope['__func'] = f
#print 'apply', s
#print scope, s
if verbose:
print ' exec', s
exec s in scope
else:
if verbose:
print ' not in d, reset'
f.reset()
halide.visit_funcs(self.root_func, callback)
def test_schedules(verbose=False, test_random=False):
#random_module.seed(int(sys.argv[1]) if len(sys.argv)>1 else 0)
halide.exit_on_signal()
f = halide.Func('f')
x = halide.Var('x')
y = halide.Var('y')
c = halide.Var('c')
g = halide.Func('g')
v = halide.Var('v')
input = halide.UniformImage(halide.UInt(16), 3)
int_t = halide.Int(32)
f[x, y, c] = input[
halide.clamp(x, halide.cast(int_t, 0
), halide.cast(int_t,
input.width() - 1)),
halide.clamp(y, halide.cast(int_t, 0
), halide.cast(int_t,
input.height() - 1)),
halide.clamp(c, halide.cast(int_t, 0), halide.cast(int_t, 2))]
#g[v] = f[v,v]
g[x, y, c] = f[x, y, c] + 1
assert sorted(halide.all_vars(g).keys()) == sorted(['x', 'y',
'c']) #, 'v'])
if verbose:
print halide.func_varlist(f)
print 'caller_vars(f) =', caller_vars(g, f)
print 'caller_vars(g) =', caller_vars(g, g)
# validL = list(valid_schedules(g, f, 4))
# validL = [repr(_x) for _x in validL]
#
# for L in sorted(validL):
# print repr(L)
T0 = time.time()
if not test_random:
random = True #False
nvalid_determ = 0
for L in schedules_func(g, f, 0, 3):
nvalid_determ += 1
if verbose:
print L
nvalid_random = 0
for i in range(100):
for L in schedules_func(
g, f, 0, DEFAULT_MAX_DEPTH, random=True
): #sorted([repr(_x) for _x in valid_schedules(g, f, 3)]):
if verbose and 0:
print L #repr(L)
nvalid_random += 1
s = []
for i in range(400):
d = random_schedule(g, 0, DEFAULT_MAX_DEPTH)
si = str(d)
s.append(si)
if verbose:
print 'Schedule:', si
d.apply()
evaluate = d.test((36, 36, 3), input)
print 'evaluate'
evaluate()
if test_random:
print 'Success'
sys.exit()
T1 = time.time()
s = '\n'.join(s)
assert 'f.chunk(_c0)' in s
assert 'f.root().vectorize' in s
assert 'f.root().unroll' in s
assert 'f.root().split' in s
assert 'f.root().tile' in s
assert 'f.root().parallel' in s
assert 'f.root().transpose' in s
assert nvalid_random == 100
if verbose:
print 'generated in %.3f secs' % (T1 - T0)
print 'random_schedule: OK'
def test_schedules(verbose=False, test_random=False):
#random_module.seed(int(sys.argv[1]) if len(sys.argv)>1 else 0)
halide.exit_on_signal()
f = halide.Func('f')
x = halide.Var('x')
y = halide.Var('y')
c = halide.Var('c')
g = halide.Func('g')
v = halide.Var('v')
input = halide.UniformImage(halide.UInt(16), 3)
int_t = halide.Int(32)
f[x,y,c] = input[halide.clamp(x,halide.cast(int_t,0),halide.cast(int_t,input.width()-1)),
halide.clamp(y,halide.cast(int_t,0),halide.cast(int_t,input.height()-1)),
halide.clamp(c,halide.cast(int_t,0),halide.cast(int_t,2))]
#g[v] = f[v,v]
g[x,y,c] = f[x,y,c]+1
assert sorted(halide.all_vars(g).keys()) == sorted(['x', 'y', 'c']) #, 'v'])
if verbose:
print halide.func_varlist(f)
print 'caller_vars(f) =', caller_vars(g, f)
print 'caller_vars(g) =', caller_vars(g, g)
# validL = list(valid_schedules(g, f, 4))
# validL = [repr(_x) for _x in validL]
#
# for L in sorted(validL):
# print repr(L)
T0 = time.time()
if not test_random:
random = True #False
nvalid_determ = 0
for L in schedules_func(g, f, 0, 3):
nvalid_determ += 1
if verbose:
print L
nvalid_random = 0
for i in range(100):
for L in schedules_func(g, f, 0, DEFAULT_MAX_DEPTH, random=True): #sorted([repr(_x) for _x in valid_schedules(g, f, 3)]):
if verbose and 0:
print L#repr(L)
nvalid_random += 1
s = []
for i in range(400):
d = random_schedule(g, 0, DEFAULT_MAX_DEPTH)
si = str(d)
s.append(si)
if verbose:
print 'Schedule:', si
d.apply()
evaluate = d.test((36, 36, 3), input)
print 'evaluate'
evaluate()
if test_random:
print 'Success'
sys.exit()
T1 = time.time()
s = '\n'.join(s)
assert 'f.chunk(_c0)' in s
assert 'f.root().vectorize' in s
assert 'f.root().unroll' in s
assert 'f.root().split' in s
assert 'f.root().tile' in s
assert 'f.root().parallel' in s
assert 'f.root().transpose' in s
assert nvalid_random == 100
if verbose:
print 'generated in %.3f secs' % (T1-T0)
print 'random_schedule: OK'