add 2gpu support

app.py

@@ -23,6 +23,13 @@ from src.utils.infer_util import remove_background, resize_foreground, images_to
 import tempfile
 from huggingface_hub import hf_hub_download
 
+if torch.cuda.is_available() and torch.cuda.device_count() >= 2:
+    device0 = torch.device('cuda:0')
+    device1 = torch.device('cuda:1')
+else:
+    device0 = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+    device1 = device0
+
 
 def get_render_cameras(batch_size=1, M=120, radius=2.5, elevation=10.0, is_flexicubes=False):
     """
@@ -86,7 +93,7 @@ unet_ckpt_path = hf_hub_download(repo_id="TencentARC/InstantMesh", filename="dif
 state_dict = torch.load(unet_ckpt_path, map_location='cpu')
 pipeline.unet.load_state_dict(state_dict, strict=True)
 
-pipeline = pipeline.to(device)
+pipeline = pipeline.to(device0)
 
 # load reconstruction model
 print('Loading reconstruction model ...')
@@ -96,9 +103,9 @@ state_dict = torch.load(model_ckpt_path, map_location='cpu')['state_dict']
 state_dict = {k[14:]: v for k, v in state_dict.items() if k.startswith('lrm_generator.') and 'source_camera' not in k}
 model.load_state_dict(state_dict, strict=True)
 
-model = model.to(device)
+model = model.to(device1)
 if IS_FLEXICUBES:
-    model.init_flexicubes_geometry(device, fovy=30.0)
+    model.init_flexicubes_geometry(device1, fovy=30.0)
 model = model.eval()
 
 print('Loading Finished!')
@@ -124,7 +131,7 @@ def generate_mvs(input_image, sample_steps, sample_seed):
     seed_everything(sample_seed)
     
     # sampling
-    generator = torch.Generator(device=device)
+    generator = torch.Generator(device=device0)
     z123_image = pipeline(
         input_image, 
         num_inference_steps=sample_steps, 
@@ -172,11 +179,11 @@ def make3d(images):
     images = torch.from_numpy(images).permute(2, 0, 1).contiguous().float()     # (3, 960, 640)
     images = rearrange(images, 'c (n h) (m w) -> (n m) c h w', n=3, m=2)        # (6, 3, 320, 320)
 
-    input_cameras = get_zero123plus_input_cameras(batch_size=1, radius=4.0).to(device)
+    input_cameras = get_zero123plus_input_cameras(batch_size=1, radius=4.0).to(device1)
     render_cameras = get_render_cameras(
-        batch_size=1, radius=4.5, elevation=20.0, is_flexicubes=IS_FLEXICUBES).to(device)
+        batch_size=1, radius=4.5, elevation=20.0, is_flexicubes=IS_FLEXICUBES).to(device1)
 
-    images = images.unsqueeze(0).to(device)
+    images = images.unsqueeze(0).to(device1)
     images = v2.functional.resize(images, (320, 320), interpolation=3, antialias=True).clamp(0, 1)
 
     mesh_fpath = tempfile.NamedTemporaryFile(suffix=f".obj", delete=False).name