fix small bug with gradient accumulation

denoising_diffusion_pytorch/denoising_diffusion_pytorch.py

@@ -414,7 +414,7 @@ class Trainer(object):
                 data = next(self.dl).cuda()
                 loss = self.model(data)
                 print(f'{ind}: {loss.item()}')
-                loss.backward()
+                (loss / self.gradient_accumulate_every).backward()
 
             self.opt.step()
             self.opt.zero_grad()

setup.py

@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
 setup(
   name = 'denoising-diffusion-pytorch',
   packages = find_packages(),
-  version = '0.1.3',
+  version = '0.1.4',
   license='MIT',
   description = 'Denoising Diffusion Probabilistic Models - Pytorch',
   author = 'Phil Wang',