diff --git a/test/backend/test_schedule.py b/test/backend/test_schedule.py
index 5693018899..804b4718c9 100644
--- a/test/backend/test_schedule.py
+++ b/test/backend/test_schedule.py
@@ -4,8 +4,6 @@
 
 import unittest
 import numpy as np
-from typing import cast
-from hypothesis import assume, given, strategies as strat
 
 from tinygrad import nn, dtypes, Device, Tensor, Variable
 from tinygrad.uop.ops import UOp, Ops, UPat
@@ -87,25 +85,6 @@ class TestSchedule(unittest.TestCase):
     x = Tensor.arange(768).reshape(3, 256).float()
     np.testing.assert_allclose((x.sum(axis=1) + x.sum(axis=1).sum()).numpy(), x.numpy().sum(axis=1) + x.numpy().sum(axis=1).sum())
 
-  @unittest.skip("disabling subbuffer manually isn't supported anymore")
-  def test_bitcast_disable_subbufer(self):
-    x = cast(UOp, Tensor.empty(1, dtype=dtypes.float32).realize().uop)
-    a = x.alu(Ops.EXP2).cast(dtypes.int32, True, allow_buffer_view=False)
-    b = x.cast(dtypes.int32, True, allow_buffer_view=False)
-    b = a.alu(Ops.ADD, b)
-    check_schedule(b, 1)
-
-  @given(strat.sampled_from(dtypes.all), strat.sampled_from(dtypes.all))
-  @unittest.skip("kernel count depends on input")
-  def test_cast_padded_const(self, dt1, dt2):
-    assume(dt1 in supported_dtypes and dt2 in supported_dtypes)
-    a = Tensor(1, dtype=dt1).reshape(1, 1).pad(((1, 1), None))
-    casted_view = a.cast(dt2)
-    run_linear(*check_schedule(casted_view, 0))
-    realized_const_view = casted_view.contiguous()
-    run_linear(*check_schedule(realized_const_view, 1))
-    np.testing.assert_equal(realized_const_view.numpy(), [[0], [1], [0]])
-
   def test_fuse_assign_contiguous(self):
     x = Tensor.zeros(4, 4, dtype=dtypes.int).contiguous().realize()
     a = Tensor.arange(8).reshape(4, 2)