DEBUG

server.py

@@ -240,7 +240,7 @@ def main_dev(opt):
             if 'prompt' in item:
                 opt.prompt = item['prompt']    # 描述
             if 'n_samples' in item:
-                opt.n_samples = item['n_samples']  # 列数
+                opt.n_samples = item['number']  # 列数
             if 'n_rows' in item:
                 opt.n_rows = item['n_rows']    # 行数
             if 'scale' in item:
@@ -345,10 +345,8 @@ def main_dev(opt):
                 if isinstance(prompts, tuple):
                     prompts = list(prompts)
                 with torch.no_grad(), additional_context:
-                    #for _ in range(3):
-                    #    c = model.get_learned_conditioning(prompts)
-                    c = model.get_learned_conditioning(prompts)
-                    print(c)
+                    for _ in range(3):
+                        c = model.get_learned_conditioning(prompts)
                     samples_ddim, _ = sampler.sample(S=5,
                                                      conditioning=c,
                                                      batch_size=batch_size,
@@ -364,8 +362,8 @@ def main_dev(opt):
             precision_scope = autocast if opt.precision == "autocast" or opt.bf16 else nullcontext
             with torch.no_grad(), precision_scope(opt.device), model.ema_scope():
                 #all_samples = list()
-                # 执行指定的次数
-                for n in trange(item['number'], desc="Sampling"):
+                # 执行指定的任务组数 (row)(item['number'])
+                for n in trange(1, desc="Sampling"):
                     print("Sampling:", n)
                     for prompts in tqdm(data, desc="data"):
                         uc = None