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Update sample.py #9

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62 changes: 31 additions & 31 deletions sample.py
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Original file line number Diff line number Diff line change
Expand Up @@ -141,38 +141,38 @@ def get_model_answers(
os.makedirs(output_path, exist_ok=True)
train_dataset = Sample_Dataset(point_num = point_num,uid_list = uid_list,path=path)
train_dataloader = build_dataloader_func(1,train_dataset, local_rank, world_size)
while True:
for i, test_batch in tqdm(enumerate(train_dataloader)):
cond_pc = test_batch['pc_normal'].to('cuda')
#while True:
for i, test_batch in tqdm(enumerate(train_dataloader)):
cond_pc = test_batch['pc_normal'].to('cuda')

points = cond_pc[0].cpu().numpy()
point_cloud = trimesh.points.PointCloud(points[..., 0:3])
point_cloud.export(f'{output_path}/{local_rank}_{i}_pc.ply')

output_ids, _ = ar_sample_kvcache(model,
prompt = torch.tensor([[4736]]).to('cuda').repeat(repeat_num,1),
pc = cond_pc.repeat(repeat_num,1,1),
window_size=9000,
temperature=temperature,
context_length=steps,
device='cuda',
output_path=output_path,local_rank=local_rank,i=i)
for u in range(repeat_num):
code = output_ids[u][1:]
index = (code >= 4737).nonzero()
if index.numel() > 0:
code = code[:index[0, 0].item()].cpu().numpy().astype(np.int64)
else:
code = code.cpu()
vertices = deserialize(code)
if len(vertices) == 0:
print("you got:",len(vertices))
continue
vertices = vertices[..., [2, 1, 0]]

points = cond_pc[0].cpu().numpy()
point_cloud = trimesh.points.PointCloud(points[..., 0:3])
point_cloud.export(f'{output_path}/{local_rank}_{i}_pc.ply')

output_ids, _ = ar_sample_kvcache(model,
prompt = torch.tensor([[4736]]).to('cuda').repeat(repeat_num,1),
pc = cond_pc.repeat(repeat_num,1,1),
window_size=9000,
temperature=temperature,
context_length=steps,
device='cuda',
output_path=output_path,local_rank=local_rank,i=i)
for u in range(repeat_num):
code = output_ids[u][1:]
index = (code >= 4737).nonzero()
if index.numel() > 0:
code = code[:index[0, 0].item()].cpu().numpy().astype(np.int64)
else:
code = code.cpu()
vertices = deserialize(code)
if len(vertices) == 0:
print("you got:",len(vertices))
continue
vertices = vertices[..., [2, 1, 0]]

faces = torch.arange(1, len(vertices) + 1).view(-1, 3)
mesh = to_mesh(vertices, faces, transpose=False, post_process=True)
mesh.export(f'{output_path}/{local_rank}_{i}_{u}_mesh.obj')
faces = torch.arange(1, len(vertices) + 1).view(-1, 3)
mesh = to_mesh(vertices, faces, transpose=False, post_process=True)
mesh.export(f'{output_path}/{local_rank}_{i}_{u}_mesh.obj')

if __name__ == "__main__":
parser = argparse.ArgumentParser()
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