github/tinygrad
1
1
Fork 0
mirror of https://github.com/tinygrad/tinygrad.git synced 2026-01-08 22:48:25 -05:00
Code Issues Packages Projects Releases Wiki Activity

fix test warnings (#13114)

Browse Source 
* fix test warnings

* precommit passes

* ignore std_mean warning
This commit is contained in:
George Hotz
2025-11-05 15:06:29 -08:00
committed by GitHub
parent bcfe42937f
commit 4027eef264
3 changed files with 18 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
.pre-commit-config.yaml
View File

@@ -28,7 +28,7 @@ repos:
pass_filenames: false
- id: tests
name: subset of tests
entry: env OMP_NUM_THREADS=1 PYTHONPATH="." python3 -m pytest -n=8 test/test_ops.py test/test_dtype.py test/test_schedule.py test/test_assign.py
entry: env OMP_NUM_THREADS=1 PYTHONPATH="." python3 -m pytest -n=6 test/test_ops.py test/test_dtype.py test/test_schedule.py test/test_assign.py
language: system
always_run: true
pass_filenames: false

5
pytest.ini
View File

@@ -1,5 +1,8 @@
[pytest]
norecursedirs = extra
norecursedirs =
extra
.hypothesis
.git
timeout = 300
timeout_method = thread
timeout_func_only = true

21
test/test_ops.py
View File

@@ -1551,6 +1551,8 @@ class TestOps(unittest.TestCase):
lambda x: Tensor.stack(*x.std_mean(axis=(1,2))))
def test_std_mean_loaded_nan(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore", message="std_mean\\(\\): degrees of freedom is <= 0")
helper_test_op([(1,0,3,0,5)], lambda x: torch.stack(torch.std_mean(x, axis=(1,3))),
lambda x: Tensor.stack(*x.std_mean(axis=(1,3))))
def test_softmax(self):
@@ -2820,13 +2822,13 @@ class TestOps(unittest.TestCase):
@slow_test
def test_slice_fancy_indexing_list_indices(self):
a,b,c,d,e,i,j,k,o,p = self._get_index_randoms()
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[[0]]], lambda x: x[[[0]]])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[0],b,c,d,:], lambda x: x[[0],j,k,o,:])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[((0,),)])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[(0,),b,c,d,:], lambda x: x[(0,),j,k,o,:])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[[[0]]],b,c,d,[[1]]], lambda x: x[[[[0]]],j,k,o,[[1]]])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[1,0,-1],b,c,d,:], lambda x: x[[1,0,-1],j,k,o,:])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[a,b,c,[1,2,3],...], lambda x: x[i,j,k,[1,2,3],...])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[(1,0,-1),b,c,d,:], lambda x: x[(1,0,-1),j,k,o,:])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[a,b,c,(1,2,3),...], lambda x: x[i,j,k,(1,2,3),...])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[a,b,c,[[1],[2],[3]],...], lambda x: x[i,j,k,[[1],[2],[3]],...])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[a,[2,1,0],c,[-2,1,0],e], lambda x: x[i,[2,1,0],k,[-2,1,0],p])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[a,(2,1,0),c,(-2,1,0),e], lambda x: x[i,(2,1,0),k,(-2,1,0),p])
@slow_test
def test_slice_fancy_indexing_tuple_indices(self):
@@ -2841,11 +2843,10 @@ class TestOps(unittest.TestCase):
@slow_test
def test_slice_fancy_indexing_list_with_tensors(self):
a,b,c,d,e,i,j,k,o,p = self._get_index_randoms()
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[a]], lambda x: x[[i]])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[a,1]], lambda x: x[[i,1]])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[a,[1,1]]], lambda x: x[[i,[1,1]]])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[a,(1,1)]], lambda x: x[[i,(1,1)]])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[[a,b,c,d,e]], lambda x: x[[i,j,k,o,p]])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[(a,)], lambda x: x[(i,)])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[(a,1)], lambda x: x[(i,1)])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[(a,(1,1))], lambda x: x[(i,(1,1))])
helper_test_op([(2,5,6,5,3,4)], lambda x: x[(a,b,c,d,e)], lambda x: x[(i,j,k,o,p)])
def test_slice_fancy_indexing_errors(self):
a = Tensor.ones(10,11,12)