diff --git a/ema_pytorch/ema_pytorch.py b/ema_pytorch/ema_pytorch.py
index 8ff96ec..d0eb2ec 100644
--- a/ema_pytorch/ema_pytorch.py
+++ b/ema_pytorch/ema_pytorch.py
@@ -66,8 +66,8 @@ def __init__(
 
         self.ema_model.requires_grad_(False)
 
-        self.parameter_names = {name for name, param in self.ema_model.named_parameters() if is_float_dtype(param)}
-        self.buffer_names = {name for name, buffer in self.ema_model.named_buffers() if is_float_dtype(buffer)}
+        self.parameter_names = {name for name, param in self.ema_model.named_parameters() if is_float_dtype(param.dtype)}
+        self.buffer_names = {name for name, buffer in self.ema_model.named_buffers() if is_float_dtype(buffer.dtype)}
 
         self.update_every = update_every
         self.update_after_step = update_after_step
@@ -101,10 +101,10 @@ def get_buffers_iter(self, model):
             yield name, buffer
 
     def copy_params_from_model_to_ema(self):
-        for ma_params, current_params in zip(self.get_params_iter(self.ema_model), self.get_params_iter(self.online_model)):
+        for (_, ma_params), (_, current_params) in zip(self.get_params_iter(self.ema_model), self.get_params_iter(self.online_model)):
             ma_params.data.copy_(current_params.data)
 
-        for ma_buffers, current_buffers in zip(self.get_buffers_iter(self.ema_model), self.get_buffers_iter(self.online_model)):
+        for (_, ma_buffers), (_, current_buffers) in zip(self.get_buffers_iter(self.ema_model), self.get_buffers_iter(self.online_model)):
             ma_buffers.data.copy_(current_buffers.data)
 
     def get_current_decay(self):
diff --git a/setup.py b/setup.py
index cbb4eee..ebcc7a1 100644
--- a/setup.py
+++ b/setup.py
@@ -3,7 +3,7 @@
 setup(
   name = 'ema-pytorch',
   packages = find_packages(exclude=[]),
-  version = '0.1.0',
+  version = '0.1.1',
   license='MIT',
   description = 'Easy way to keep track of exponential moving average version of your pytorch module',
   author = 'Phil Wang',