perf(inference): optimize batch processing for different GPU memory sizes

- Set NPUDTCompile to false for better performance on NPU
- Adjust batch ratio

magic_pdf/model/doc_analyze_by_custom_model.py

@@ -165,12 +165,14 @@ def doc_analyze(
         import torch_npu
         if torch_npu.npu.is_available():
             npu_support = True
+            torch.npu.set_compile_mode(jit_compile=False)
 
     if torch.cuda.is_available() and device != 'cpu' or npu_support:
         gpu_memory = int(os.getenv("VIRTUAL_VRAM_SIZE", round(get_vram(device))))
         if gpu_memory is not None and gpu_memory >= 8:
-
-            if gpu_memory >= 16:
+            if gpu_memory >= 20:
+                batch_ratio = 16
+            elif gpu_memory >= 15:
                 batch_ratio = 8
             elif gpu_memory >= 10:
                 batch_ratio = 4