move more to null/unit tests (#14658)

* move more to null tests

* move test_gc

* no test fusion op

.github/workflows/test.yml

@@ -739,7 +739,7 @@ jobs:
           DEBUG=5 FORWARD_ONLY=1 python3 test/test_ops.py TestOps.test_add
       - name: Run pytest (cuda)
         # skip multitensor because it's slow
-        run: python -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit --ignore=test/null --ignore test/test_gc.py --ignore test/test_multitensor.py --durations=20
+        run: python -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit --ignore=test/null --ignore test/test_multitensor.py --durations=20
       - name: Run TestOps.test_add with PMA
         run: VIZ=-1 PMA=1 DEBUG=5 python3 test/test_ops.py TestOps.test_add
       - name: Run process replay tests

test/null/test_gc.py

@@ -72,7 +72,6 @@ class TestGC(unittest.TestCase):
     ys = y.schedule()
     del x
     run_schedule(ys)
-    np.testing.assert_equal(y.numpy(), np.full((256,), 2))
     self.assertEqual(bufs_allocated()-init, 1)
     del y
     self.assertEqual(bufs_allocated()-init, 0)

test/test_fusion_op.py

@@ -1,68 +0,0 @@
-import unittest
-import time
-import numpy as np
-from tinygrad import Tensor, dtypes
-from tinygrad.engine.realize import run_schedule
-
-class TestFusionOp(unittest.TestCase):
-  def test_contiguous_add(self):
-    def test(contig=False):
-      bt = Tensor(np.arange(16), dtype=dtypes.float32).reshape(4,4)
-      x = bt.permute(1,0)
-      if contig: x = x.contiguous()
-      return (x.permute(1,0) + bt).data()
-    assert test() == test(True)
-
-  def test_expand_fuse(self):
-    bt = Tensor(np.ones((10, 1)), dtype=dtypes.float32)
-    out = (bt*2).expand(10,10).sum(1)
-    sched = out.schedule()
-    run_schedule(sched)
-    outd = out.tolist()
-    assert all(x == 20.0 for x in outd)
-
-  def test_recursive_add(self):
-    st = time.perf_counter()
-    a = Tensor([1,2,3,4])
-    for _ in range(24): a = a + a
-    sched = a.schedule()
-    sched[-1].lower()
-    self.assertLess(time.perf_counter()-st, 2.0)
-    assert len(sched[-1].prg.p.src.splitlines()) < 250
-
-  def test_recursive_add_cmp(self):
-    st = time.perf_counter()
-    a = Tensor([1,2,3,4])
-    for _ in range(24): a = a + a
-    sched1 = a.schedule()
-    b = Tensor([1,2,3,4])
-    for _ in range(24): b = b + b
-    sched2 = b.schedule()
-    c = Tensor([1,2,3,4])
-    for _ in range(23): c = c + c
-    sched3 = c.schedule()
-    self.assertEqual(sched1[-1].ast, sched2[-1].ast)
-    with self.assertRaises(AssertionError): self.assertEqual(sched1[-1].ast, sched3[-1].ast)
-    self.assertLess(time.perf_counter()-st, 2.0)
-
-  def test_recursive_pad(self):
-    st = time.perf_counter()
-    val = 1.0
-    a = Tensor(val)
-    for _ in range(24): a = Tensor.stack(a, a)[0]
-    sched = a.schedule()
-    self.assertEqual(len(sched), 0)
-    self.assertLess(time.perf_counter()-st, 2.0)
-
-  def test_recursive_reshape(self):
-    st = time.perf_counter()
-    a = Tensor.empty(32, 32).realize()
-    b = Tensor.empty(16, 2).realize()
-    r = a.sum(1)
-    for _ in range(24): r = r.reshape(16, 2) + b
-    sched = r.schedule()
-    self.assertEqual(len(sched), 1)
-    self.assertLess(time.perf_counter()-st, 2.0)
-
-if __name__ == '__main__':
-  unittest.main(verbosity=2)