Update blocklist (#106)

* Updated blocklist

* Further update blocklist

Author: abhudev

test/test_mps.py

@@ -8688,7 +8688,6 @@ class TestConsistency(TestCase):
 
         # These were moved from ALLOWLIST to BLOCK as they are not working
         # locally
-        'tile': ['torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'],
         '__radd__': ['torch.bool', 'torch.uint8'],
         '__rmul__': ['torch.uint8'],
         'neg': ['torch.uint8'],
@@ -8699,39 +8698,23 @@ class TestConsistency(TestCase):
 
         # Functions that are flaky
         # These are detected as "ok" by the expect case but actually fail to run sometimes
-        'H': None,
-        'T': None,
-        'as_strided': None,
-        'broadcast_tensors': None,
         'broadcast': None,
-        'broadcast_to': None,
-        'diagonal': None,
         'divfloor_rounding': None,
         'divno_rounding_mode': None,
         'divtrunc_rounding': None,
-        'dsplit': None,
-        'hsplit': None,
         'empty': None,
-        'expand_as': None,
-        'expand': None,
         'ge': None,
         'ne': None,
         'le': None,
         'lt': None,
         'gt': None,
-        'transpose': None,
         'splitlist_args': None,
-        'select': None,
-        'reshape': None,
         'reshape_as': None,
-        'permute': None,
         'norm': None,
         'nn.functional.pixel_unshuffle': None,
         'nn.functional.pixel_shuffle': None,
         'nn.functional.cross_entropy': None,
         'nn.functional.one_hot': None,
-        'narrow': None,
-        'movedim': None,
         'minreduction_with_dim': None,
         'minreduction_no_dim': None,
         'minbinary': None,
@@ -8742,8 +8725,6 @@ class TestConsistency(TestCase):
         'maxbinary': None,
         'maximum': None,
         'minimum': None,
-        'mT': None,
-        'mH': None,
         'outer': None,
         'softmaxwith_dtype': None,
         'rounddecimals_neg_3': None,
@@ -8759,8 +8740,8 @@ class TestConsistency(TestCase):
         'mul': None,
         'cartesian_prod': None,
         'bool': None,
+        'nonzero': None,
         'inner': None,
-        'dstack': None,
         'take_along_dim': None,
 
         # New block list ops that need investigation
@@ -8793,11 +8774,9 @@ class TestConsistency(TestCase):
         'clamp_max': ['torch.bool', 'torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'clamp_min': ['torch.bool', 'torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'constant_pad_nd': ['torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
-        'corrcoef': ['torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'cos': ['torch.bool'], 
         'cosh': ['torch.bool'], 
         'count_nonzero': ['torch.bool', 'torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
-        'cov': ['torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'diff': ['torch.bool', 'torch.uint8'], 
         'eig': ['torch.float32'], 
         'empty_like': ['torch.bool', 'torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
@@ -8812,9 +8791,8 @@ class TestConsistency(TestCase):
         'fft.rfft2': ['torch.bool', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'fft.rfft': ['torch.bool', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'fft.rfftn': ['torch.bool', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
-        'float': ['torch.bool', 'torch.float16', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
+        'float': ['torch.int64'],
         'gather': ['torch.bool', 'torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
-        'gradient': ['torch.float16', 'torch.float32', 'torch.int16', 'torch.int32'], 
         'half': ['torch.bool', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'index_put': ['torch.bool', 'torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'index_select': ['torch.uint8'], 
@@ -8854,7 +8832,6 @@ class TestConsistency(TestCase):
         'nn.functional.normalize': ['torch.float32'], 
         'nn.functional.pad': ['torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64'], 
         'nn.functional.pairwise_distance': ['torch.uint8'], 
-        'nn.functional.softsign': ['torch.int32'], 
         'nn.functional.triplet_margin_loss': ['torch.uint8'], 
         'nn.functional.triplet_margin_with_distance_loss': ['torch.uint8'], 
         'nn.functional.upsample_nearest': ['torch.float32'], 
@@ -8880,17 +8857,9 @@ class TestConsistency(TestCase):
         'tanh': ['torch.bool'], 
         'tensor_split': ['torch.bool', 'torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
         'topk': ['torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
-        'trapz': ['torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'], 
-        'true_divide': ['torch.int32', 'torch.int64'],
+        'trapz': ['torch.float16', 'torch.float32', 'torch.int16', 'torch.int32', 'torch.int64', 'torch.uint8'],
         'nn.functional.local_response_norm': ['torch.int64'],
-        'flip': ['torch.bool'],
-        'fliplr': ['torch.bool'],
-        'flipud': ['torch.bool'],
         'index_select': ['torch.bool'],
-        'repeat': ['torch.bool'],
-        'rot90': ['torch.bool'],
-        'tile': ['torch.bool'],
-        'split': ['torch.float32'],
     }
 
     # Those ops worked on MacOS12, but broken on MacOS13