diff --git a/tinygrad/helpers.py b/tinygrad/helpers.py
index ef862c28e5..122e0ec602 100644
--- a/tinygrad/helpers.py
+++ b/tinygrad/helpers.py
@@ -40,3 +40,4 @@ from enum import Enum
 UnaryOps = Enum("UnaryOps", ["RELU", "EXP", "LOG", "NEG", "SIGN"])
 BinaryOps = Enum("BinaryOps", ["ADD", "SUB", "MUL", "DIV", "POW", "A", "CMPEQ"])
 ReduceOps = Enum("ReduceOps", ["SUM", "MAX"])
+MovementOps = Enum("MovementOps", ["RESHAPE", "PERMUTE", "SLICE"])
diff --git a/tinygrad/llops/ops_cpu.py b/tinygrad/llops/ops_cpu.py
index 3a891dad60..d4e71f7841 100644
--- a/tinygrad/llops/ops_cpu.py
+++ b/tinygrad/llops/ops_cpu.py
@@ -48,9 +48,10 @@ def reduce_op(op, inp, ret):
     else: raise Exception(f"{op} isn't supported")
   return ret
 
-def reshape(x, shape):
-  assert np.prod(x.shape) == np.prod(shape)
-  return x.reshape(shape)
+def reshape(x, ret):
+  assert np.prod(x.shape) == np.prod(ret.shape)
+  ret[:] = x.reshape(ret.shape)
+  return ret
 
 def perm_axis(x, order, ret):
   ret[:] = x.permute(order)
diff --git a/tinygrad/mlops.py b/tinygrad/mlops.py
index f96cbc48d2..a289fd303d 100644
--- a/tinygrad/mlops.py
+++ b/tinygrad/mlops.py
@@ -126,11 +126,11 @@ class Reshape(Function):
   def forward(ctx, x, shape):
     ctx.save_for_backward(x.shape)
     shape = tuple(-np.prod(x.shape) // np.prod(shape) if s == -1 else s for s in shape)
-    return ctx.op.reshape(x, shape) # NOTE: this is not a copy
+    return ctx.op.reshape(x, ctx.buffer(shape))
 
   def backward(ctx, grad_output):
     in_shape, = ctx.saved_tensors
-    return ctx.op.reshape(grad_output, in_shape)
+    return ctx.op.reshape(grad_output, ctx.buffer(in_shape))
 
 class Permute(Function):
   def forward(ctx, x, order=(1,0)):