diff --git a/README.md b/README.md
index 806d3b466a..218a7cc4ab 100644
--- a/README.md
+++ b/README.md
@@ -122,7 +122,7 @@ mlops are mid level ops, there's 13 of them. They understand memory allocation a
 Relu, Log, Exp                  # unary ops
 Sum, Max                        # reduce ops (with axis argument)
 Add, Sub, Mul, Pow              # binary ops (with broadcasting)
-Reshape, Transpose, Slice       # movement ops
+Reshape, Permute, Slice         # movement ops
 Conv2D(NCHW)                    # processing op (Matmul is also Conv2D)
 ```
 
diff --git a/tinygrad/mlops.py b/tinygrad/mlops.py
index b692e134d6..f96cbc48d2 100644
--- a/tinygrad/mlops.py
+++ b/tinygrad/mlops.py
@@ -132,7 +132,7 @@ class Reshape(Function):
     in_shape, = ctx.saved_tensors
     return ctx.op.reshape(grad_output, in_shape)
 
-class Transpose(Function):
+class Permute(Function):
   def forward(ctx, x, order=(1,0)):
     ctx.save_for_backward(order)
     ret = ctx.buffer([x.shape[i] for i in order])
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 4d8cd82aa3..97b39f49fd 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -257,6 +257,9 @@ class Tensor:
 
   dot = matmul
 
+  def transpose(self, order=(1,0)):
+    return self.permute(order=order)
+
   def _canonicalize_reduce_axis(self, axis):
     if axis is None: axis = range(len(self.shape))
     if isinstance(axis, int): axis = [axis]