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Update app.py
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app.py
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@@ -347,7 +347,7 @@ def extract_glb(state: dict, mesh_simplify: float, texture_size: int) -> Tuple[s
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# GLB λ³ν
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with torch.inference_mode():
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try:
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-
# λͺ¨λ ν
μλ₯Ό CUDAλ‘
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device = torch.device('cuda:0')
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# Gaussian ν
μλ€μ λ³ν
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@@ -355,24 +355,23 @@ def extract_glb(state: dict, mesh_simplify: float, texture_size: int) -> Tuple[s
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if hasattr(gs, attr_name):
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tensor = getattr(gs, attr_name)
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if torch.is_tensor(tensor):
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-
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new_tensor = tensor.detach().clone().float().to(device).requires_grad_(True)
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setattr(gs, attr_name, new_tensor)
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# Mesh ν
μλ€μ λ³ν
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if hasattr(mesh, 'vertices') and torch.is_tensor(mesh.vertices):
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mesh.vertices = mesh.vertices.detach().clone().float().to(device)
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if hasattr(mesh, 'faces') and torch.is_tensor(mesh.faces):
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mesh.faces = mesh.faces.detach().clone().long().to(device)
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# μΆκ° μμ± νμΈ λ° λ³ν
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for attr_name in dir(mesh):
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if attr_name.startswith('_'):
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continue
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attr = getattr(mesh, attr_name)
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if torch.is_tensor(attr):
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if attr.dtype in [torch.float32, torch.float64]:
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setattr(mesh, attr_name, attr.to(device)
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else:
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setattr(mesh, attr_name, attr.to(device))
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@@ -425,6 +424,7 @@ def extract_glb(state: dict, mesh_simplify: float, texture_size: int) -> Tuple[s
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clear_gpu_memory()
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def activate_button() -> gr.Button:
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return gr.Button(interactive=True)
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# GLB λ³ν
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with torch.inference_mode():
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try:
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+
# λͺ¨λ ν
μλ₯Ό CUDAλ‘ μ΄λ (gradient λΆνμ)
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device = torch.device('cuda:0')
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# Gaussian ν
μλ€μ λ³ν
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if hasattr(gs, attr_name):
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tensor = getattr(gs, attr_name)
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if torch.is_tensor(tensor):
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new_tensor = tensor.detach().clone().float().to(device)
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setattr(gs, attr_name, new_tensor)
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# Mesh ν
μλ€μ λ³ν
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if hasattr(mesh, 'vertices') and torch.is_tensor(mesh.vertices):
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mesh.vertices = mesh.vertices.detach().clone().float().to(device)
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if hasattr(mesh, 'faces') and torch.is_tensor(mesh.faces):
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mesh.faces = mesh.faces.detach().clone().long().to(device)
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# μΆκ° μμ± νμΈ λ° λ³ν (gradient λΆνμ)
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for attr_name in dir(mesh):
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if attr_name.startswith('_'):
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continue
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attr = getattr(mesh, attr_name)
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if torch.is_tensor(attr):
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if attr.dtype in [torch.float32, torch.float64]:
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setattr(mesh, attr_name, attr.to(device))
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else:
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setattr(mesh, attr_name, attr.to(device))
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clear_gpu_memory()
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+
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def activate_button() -> gr.Button:
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return gr.Button(interactive=True)
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