diff --git a/tinygrad/engine/schedule.py b/tinygrad/engine/schedule.py
index 8f54e700d000..44adb7538b01 100644
--- a/tinygrad/engine/schedule.py
+++ b/tinygrad/engine/schedule.py
@@ -67,25 +67,23 @@ def to_uop(buf:LazyBuffer, ctx:ScheduleContext, buffers:Dict[UOp, Buffer], cache
     buf.buffer.dtype = dtype
     buf.buffer.options = None
   # base is a VIEW of (BUFFER, (optional) op)
-  if buf.is_realized:
-    # TODO: this is the same underlying Buffer in all schedules
-    buf_uop = UOp.new_buffer(buf.device, buf.size, dtype)
-    op = None
+  # TODO: this is the same underlying Buffer in all schedules, delete_lazy fixes this
+  if buf.is_realized: ret = UOp.new_buffer(buf.device, buf.size, dtype).view(buf.st)
   # ASSIGN uses the target buffer, otherwise we create a new buffer
   else:
     src = tuple(to_uop(x, ctx, buffers, cache) for x in buf.srcs)
     buf_uop = src[0].base.buf_uop if buf.op is Ops.ASSIGN else UOp.new_buffer(buf.device, buf.size, dtype)
     op = UOp(buf.op, dtype if buf.op in GroupOp.Meta else dtype.base, src, buf.arg)
-  cache[buf] = ret = UOp(Ops.VIEW, dtype.base, (buf_uop,) if op is None else (buf_uop, op.contiguous() if buf.forced_realize else op), buf.st)
-  # keep track of ops outside the big graph
-  buffers[buf_uop] = buf.buffer
-  if op is not None:
+    ret = UOp(Ops.VIEW, dtype.base, (buf_uop, op.alu(Ops.CONTIGUOUS) if buf.forced_realize else op), buf.st)
+    # keep track of scheduled ops
     buf.buffer.ref(1)
     ctx.lazybufs[buf_uop] = buf
     ctx.allbufs[buf_uop] = ret
     if op.op is Ops.ASSIGN: ctx.assigns.add(buf_uop)
     for x in op.src:
       if is_scheduled(x.base): ctx.children.setdefault(x.base.buf_uop, {})[buf_uop] = None
+  cache[buf] = ret
+  buffers[ret.buf_uop] = buf.buffer
   return ret
 
 # **** AST graph rewrite
@@ -425,7 +423,7 @@ def append_op(ctx:ScheduleContext, b:UOp, to_store:UOp) -> UOp:
   # everything else is a VIEW of BUFFER that either realizes or fuses
   (UPatScheduled(), lambda ctx,b,to_store,base: append_realize(ctx, b, to_store, base) if b in ctx.realizes else append_op(ctx, b, to_store)),
   # just load realized buffers
-  (UPatRealized(), lambda ctx,b,base: UOp(Ops.PRELOAD if b in ctx.assigns else Ops.LOAD, base.dtype, (b, base.st.to_uop()))),
+  (UPatRealized(), lambda ctx,b,base: UOp(Ops.PRELOAD if b in ctx.assigns else Ops.LOAD, b.dtype.base, (b, base.st.to_uop()))),
 ])
 
 @track_rewrites(named=True)
diff --git a/tinygrad/ops.py b/tinygrad/ops.py
index 1effd76f8745..aacc7b7f66ac 100644
--- a/tinygrad/ops.py
+++ b/tinygrad/ops.py
@@ -356,11 +356,11 @@ def is_unrealized_unmasked_const(self): return self.is_unrealized_const() and al
   @property
   def base(self) -> UOp: return self.src[0] if self.op is Ops.VIEW and len(self.src) == 1 and self.src[0].op is not Ops.BUFFER else self
   def view(self, new_st:ShapeTracker) -> UOp:
-    assert self.st is not None and self.base.st is not None, f"must have shape {self}"
+    if self.st is None: return UOp(Ops.VIEW, self.dtype, (self,), new_st)
     ret = UOp(Ops.VIEW, self.dtype, (self.base,), new_st)
     # instant folding rules
     if self.st.size == 0 or (new_st.views[-1].mask is not None and any((x[1]-x[0]) == 0 for x in new_st.views[-1].mask)): return ret.const_like(0)
-    if new_st.contiguous and self.base.st.shape == new_st.shape: return self.base
+    if new_st.contiguous and self.base.shape == new_st.shape: return self.base
     return ret
   def reshape(self, arg:Tuple[sint, ...]): return self.view(unwrap(self.st).reshape(arg))
   def pad(self, arg:Tuple[Tuple[sint, sint], ...]): return self.view(unwrap(self.st).pad(arg))