def args_from_vector(self, vector):
new_args = []
idx = 0
for arg in escape(self.init_args):
if arg.ndim:
new_args.append(vector[idx: idx + arg.size].reshape(*arg.shape))
else:
new_args.append(vector[idx: idx + arg.size][0])
idx += arg.size
return new_args
def args_from_vector(self, vector):
new_args = []
idx = 0
for arg in escape(self.init_args):
# new_args.append(vector[idx: idx + arg.size].reshape(*arg.shape))
# avoid using arg.size or prod(arg.shape) because Theano's prod
# doesn't support R-op
new_args.append(
vector[idx: idx + safesize(arg)].reshape(arg.shape))
idx += safesize(arg)
return new_args
def f():
x = np.arange(10.0)
y = {escape(xi): xi + 10 for xi in escape(x)}
return y[5]
def f():
x = np.arange(10.0)
y = [xi + 10 for xi in escape(x)]
return y
def f():
l1 = {escape(i): i for i in range(3)}
l2 = [l1[escape(i)] for i in range(3)]
return l2
