Fix cumsum for MPS in newer torch

The prior fix assumed that testing int16 was enough to determine if a fix is needed, but a recent fix for cumsum has int16 working but not bool.

1 files changed, 7 insertions, 4 deletions

diff --git a/modules/devices.py b/modules/devices.py
index caeb0276..ac3ae0c9 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -139,8 +139,10 @@ orig_Tensor_cumsum = torch.Tensor.cumsum
 def cumsum_fix(input, cumsum_func, *args, **kwargs):
     if input.device.type == 'mps':
         output_dtype = kwargs.get('dtype', input.dtype)
-        if any(output_dtype == broken_dtype for broken_dtype in [torch.bool, torch.int8, torch.int16, torch.int64]):
+        if output_dtype == torch.int64:
             return cumsum_func(input.cpu(), *args, **kwargs).to(input.device)
+        elif cumsum_needs_bool_fix and output_dtype == torch.bool or cumsum_needs_int_fix and (output_dtype == torch.int8 or output_dtype == torch.int16):
+            return cumsum_func(input.to(torch.int32), *args, **kwargs).to(torch.int64)
     return cumsum_func(input, *args, **kwargs)
 
 
@@ -151,8 +153,9 @@ if has_mps():
         torch.nn.functional.layer_norm = layer_norm_fix
         torch.Tensor.numpy = numpy_fix
     elif version.parse(torch.__version__) > version.parse("1.13.1"):
-        if not torch.Tensor([1,2]).to(torch.device("mps")).equal(torch.Tensor([1,1]).to(torch.device("mps")).cumsum(0, dtype=torch.int16)):
-            torch.cumsum = lambda input, *args, **kwargs: ( cumsum_fix(input, orig_cumsum, *args, **kwargs) )
-            torch.Tensor.cumsum = lambda self, *args, **kwargs: ( cumsum_fix(self, orig_Tensor_cumsum, *args, **kwargs) )
+        cumsum_needs_int_fix = not torch.Tensor([1,2]).to(torch.device("mps")).equal(torch.ShortTensor([1,1]).to(torch.device("mps")).cumsum(0))
+        cumsum_needs_bool_fix = not torch.BoolTensor([True,True]).to(device=torch.device("mps"), dtype=torch.int64).equal(torch.BoolTensor([True,False]).to(torch.device("mps")).cumsum(0))
+        torch.cumsum = lambda input, *args, **kwargs: ( cumsum_fix(input, orig_cumsum, *args, **kwargs) )
+        torch.Tensor.cumsum = lambda self, *args, **kwargs: ( cumsum_fix(self, orig_Tensor_cumsum, *args, **kwargs) )
         orig_narrow = torch.narrow
         torch.narrow = lambda *args, **kwargs: ( orig_narrow(*args, **kwargs).clone() )