Merge pull request #10 from TheMrGhostman/master

fixing adam

tinygrad/optim.py

@@ -27,8 +27,8 @@ class Adam(Optimizer):
     self.v = [np.zeros_like(t.data) for t in self.params]
 
   def step(self):
+    self.t += 1
     for i,t in enumerate(self.params):
-      self.t += 1
       self.m[i] = self.b1 * self.m[i] + (1 - self.b1) * t.grad
       self.v[i] = self.b2 * self.v[i] + (1 - self.b2) * np.square(t.grad)
       mhat = self.m[i] / (1. - self.b1**self.t)