diff --git a/tinygrad/nn/state.py b/tinygrad/nn/state.py
index 3a29735056..0ddd673caa 100644
--- a/tinygrad/nn/state.py
+++ b/tinygrad/nn/state.py
@@ -167,7 +167,8 @@ def torch_load(fn:str) -> Dict[str, Tensor]:
     def __setstate__(self, state): self.tensor = state[0]
 
   deserialized_objects: Dict[str, Any] = {}
-  intercept = {"HalfStorage": dtypes.float16, "FloatStorage": dtypes.float32, "BFloat16Storage": dtypes.bfloat16, "IntStorage": dtypes.int32,
+  intercept = {"HalfStorage": dtypes.float16, "FloatStorage": dtypes.float32, "BFloat16Storage": dtypes.bfloat16,
+               "IntStorage": dtypes.int32, "BoolStorage": dtypes.bool,
                "LongStorage": dtypes.int64, "_rebuild_tensor_v2": _rebuild_tensor_v2, "FloatTensor": None, "Parameter": Parameter}
   whitelist = {"torch", "collections", "numpy", "_codecs"}  # NOTE: this is not for security, only speed
   class Dummy: pass
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index cffff7340f..ce79c630e6 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -2173,7 +2173,7 @@ class Tensor:
     ```
     """
     return self*self
-  def clip(self, min_=None, max_=None):
+  def clamp(self, min_=None, max_=None):
     """
     Clips (clamps) the values in the tensor between `min_` and `max_` element-wise.
     If `min_` is `None`, there is no lower bound. If `max_` is None, there is no upper bound.
@@ -2185,6 +2185,11 @@ class Tensor:
     if min_ is None and max_ is None: raise RuntimeError("at least one of 'min_' or 'max_' must not be None")
     ret = self.maximum(min_) if min_ is not None else self
     return ret.minimum(max_) if max_ is not None else ret
+  def clip(self, min_=None, max_=None):
+    """
+    Alias for `Tensor.clamp`.
+    """
+    return self.clamp(min_, max_)
   def sign(self):
     """
     Returns the sign of the tensor element-wise.