address #198 (comment)

Author: lucidrains

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "vector-quantize-pytorch"
-version = "1.22.12"
+version = "1.22.14"
 description = "Vector Quantization - Pytorch"
 authors = [
     { name = "Phil Wang", email = "lucidrains@gmail.com" }

vector_quantize_pytorch/residual_fsq.py

@@ -39,7 +39,7 @@ def is_distributed():
 def get_maybe_sync_seed(device, max_size = 10_000):
     rand_int = torch.randint(0, max_size, (), device = device)
 
-    if is_distributed():
+    if is_distributed() and torch.is_grad_enabled():
         dist.all_reduce(rand_int)
 
     return rand_int.item()

vector_quantize_pytorch/residual_lfq.py

@@ -34,7 +34,7 @@ def is_distributed():
 def get_maybe_sync_seed(device, max_size = 10_000):
     rand_int = torch.randint(0, max_size, (), device = device)
 
-    if is_distributed():
+    if is_distributed() and torch.is_grad_enabled():
         dist.all_reduce(rand_int)
 
     return rand_int.item()