delete not used method

src/models/qwen2_5vl/model.rs

@@ -493,19 +493,24 @@ impl Qwen2_5VLVisionModel {
         let sin = emb.sin()?.to_dtype(hidden_states.dtype())?;
         let cu_seqlens = grid_thw.i((.., 1))?.mul(&grid_thw.i((.., 2))?)?;
         let grid_t = grid_thw.i((.., 0))?.to_vec1::<u32>()?;
-        let cu_seqlens_full = match cu_seqlens.rank() {
+        // let cu_seqlens_full = match cu_seqlens.rank() {
-            1 => cu_seqlens.repeat(grid_t[0] as usize)?,
+        //     1 => cu_seqlens.repeat(grid_t[0] as usize)?,
-            2 => {
+        //     2 => {
-                let mut cu_seqlens_repeat = Vec::new();
+        //         let mut cu_seqlens_repeat = Vec::new();
-                for (index, t) in grid_t.iter().enumerate() {
+        //         for (index, t) in grid_t.iter().enumerate() {
-                    cu_seqlens_repeat.push(cu_seqlens.i(index)?.repeat(*t as usize)?);
+        //             cu_seqlens_repeat.push(cu_seqlens.i(index)?.repeat(*t as usize)?);
-                }
+        //         }
-                Tensor::cat(&cu_seqlens_repeat, 0)?.flatten_all()?
+        //         Tensor::cat(&cu_seqlens_repeat, 0)?.flatten_all()?
-            }
+        //     }
-            _ => {
+        //     _ => {
-                return Err(anyhow!(format!("create cu_seqlens error")));
+        //         return Err(anyhow!(format!("create cu_seqlens error")));
-            }
+        //     }
-        };
+        // };
+        let mut cu_seqlens_repeat = Vec::new();
+        for (index, t) in grid_t.iter().enumerate() {
+            cu_seqlens_repeat.push(cu_seqlens.i(index)?.repeat(*t as usize)?);
+        }
+        let cu_seqlens_full = Tensor::cat(&cu_seqlens_repeat, 0)?.flatten_all()?;
         let cu_seqlens = cu_seqlens_full
             .to_dtype(DType::F64)?
             .cumsum(0)?

tests/messy_test.rs

@@ -1,4 +1,3 @@
-use aha::utils::tensor_utils::bitor_tensor;
 use anyhow::Result;
 use candle_core::{IndexOp, Tensor};
 

tests/test_qwen2_5vl.rs

@@ -28,7 +28,7 @@ fn qwen2_5vl_generate() -> Result<()> {
                         {
                             "url": "file://./assets/img/ocr_test1.png"
                         }
-                    },               
+                    },             
                     {
                         "type": "text", 
                         "text": "请分析图片并提取所有可见文本内容，按从左到右、从上到下的布局，返回纯文本"