Fix TestDiffusionSamplingInferer

tests/test_diffusion_inferer.py

@@ -120,6 +120,8 @@ def test_ddim_sampler(self, model_params, input_shape):
 
     @parameterized.expand(TEST_CASES)
     def test_sampler_conditioned(self, model_params, input_shape):
+        model_params["with_conditioning"] = True
+        model_params["cross_attention_dim"] = 3
         model = DiffusionModelUNet(**model_params)
         device = "cuda:0" if torch.cuda.is_available() else "cpu"
         model.to(device)
@@ -130,7 +132,7 @@ def test_sampler_conditioned(self, model_params, input_shape):
         )
         inferer = DiffusionInferer(scheduler=scheduler)
         scheduler.set_timesteps(num_inference_steps=10)
-        conditioning = torch.randn([input_shape[0], 1, 3])
+        conditioning = torch.randn([input_shape[0], 1, 3]).to(device)
         sample, intermediates = inferer.sample(
             input_noise=noise,
             diffusion_model=model,