Data type issue in "micrograd/micrograd /nn.py: class Neuron(Module)/__call__(self, x)"

source code in micrograd/micrograd /nn.py: class Neuron(Module)/__call__(self, x) is:

class Neuron(Module):

def __init__(self, nin, nonlin=True):
self.w = [Value(random.uniform(-1,1)) for _ in range(nin)]
self.b = Value(0)
self.nonlin = nonlin

def __call__(self, x):
act = sum((wi*xi for wi,xi in zip(self.w, x)), self.b)
return act.relu() if self.nonlin else act

when you ran it, it occurred:

Cell In[14], line 21, in Neuron.__call__(self, x)
19 def __call__(self, x):
20 act = sum(wi*xi for wi,xi in zip(self.w, x)), self.b
---> 21 return act.relu() if self.nonlin else act

AttributeError: 'tuple' object has no attribute 'relu'

so it should be changed as ：

class Neuron(Module):

def __init__(self, nin, nonlin=True):
self.w = [Value(random.uniform(-1,1)) for _ in range(nin)]
self.b = Value(0)
self.nonlin = nonlin

def __call__(self, x):
act = sum(wi*xi for wi,xi in zip(self.w, x)) + self.b
return act.relu() if self.nonlin else act

Open micrograd/micrograd/nn.py and inspect Neuron.__call__(self, x), focusing on how act is computed before relu() is called. Correct the tuple-producing expression so the method returns a Value-compatible activation, then verify that the reported AttributeError no longer occurs when the neuron is run.

Written by the indexing model from the issue text.