fix: fix the incompatibility of swintransformerv2 in ms2.0 (#719)

Author: The-truthh

mindcv/models/swintransformerv2.py

@@ -113,34 +113,33 @@ def __init__(
         self.cpb_act1 = nn.ReLU()
         self.cpb_mlp2 = nn.Dense(512, num_heads, has_bias=False)
 
-        relative_coords_h = Tensor(np.arange(-(self.window_size[0] - 1), self.window_size[0]), mstype.float32)
-        relative_coords_w = Tensor(np.arange(-(self.window_size[1] - 1), self.window_size[1]), mstype.float32)
-        relative_coords_table = ops.stack(ops.meshgrid((relative_coords_h, relative_coords_w), indexing="ij"), axis=0)
-        relative_coords_table = relative_coords_table.transpose(1, 2, 0)
-        relative_coords_table = ops.expand_dims(relative_coords_table, axis=0)
+        relative_coords_h = np.arange(-(self.window_size[0] - 1), self.window_size[0], dtype=float)
+        relative_coords_w = np.arange(-(self.window_size[1] - 1), self.window_size[1], dtype=float)
+        relative_coords_table = np.stack(np.meshgrid(relative_coords_h, relative_coords_w, indexing="ij"), axis=0)
+        relative_coords_table = np.transpose(relative_coords_table, (1, 2, 0))
+        relative_coords_table = np.expand_dims(relative_coords_table, axis=0)
         if pretrained_window_size[0] > 0:
             relative_coords_table[:, :, :, 0] /= pretrained_window_size[0] - 1
             relative_coords_table[:, :, :, 1] /= pretrained_window_size[1] - 1
         else:
             relative_coords_table[:, :, :, 0] /= self.window_size[0] - 1
             relative_coords_table[:, :, :, 1] /= self.window_size[1] - 1
         relative_coords_table *= 8  # normalize to -8, 8
-        sign = ops.Sign()
         relative_coords_table = (
-                sign(relative_coords_table) * Tensor(np.log2(np.abs(relative_coords_table.asnumpy()) + 1)) / np.log2(8)
+                np.sign(relative_coords_table) * np.log2(np.abs(relative_coords_table) + 1) / np.log2(8)
         )
 
         self.relative_coords_table = Parameter(
             Tensor(relative_coords_table, mstype.float32), requires_grad=False
         )
 
         # get pair-wise relative position index for each token inside the window
-        coords_h = Tensor(np.arange(window_size[0]), mstype.int32)
-        coords_w = Tensor(np.arange(window_size[1]), mstype.int32)
-        coords = ops.stack(ops.meshgrid((coords_h, coords_w), indexing="ij"), axis=0)  # 2, Wh, Ww
-        coords_flatten = ops.flatten(coords)  # 2, Wh*Ww
+        coords_h = np.arange(window_size[0])
+        coords_w = np.arange(window_size[1])
+        coords = np.stack(np.meshgrid(coords_h, coords_w, indexing="ij"), axis=0)  # 2, Wh, Ww
+        coords_flatten = coords.reshape(coords.shape[0], -1)  # 2, Wh*Ww
         relative_coords = coords_flatten[:, :, None] - coords_flatten[:, None, :]  # 2, Wh*Ww, Wh*Ww
-        relative_coords = relative_coords.transpose(1, 2, 0).asnumpy()  # Wh*Ww, Wh*Ww, 2
+        relative_coords = np.transpose(relative_coords, (1, 2, 0))  # Wh*Ww, Wh*Ww, 2
 
         relative_coords[:, :, 0] += window_size[0] - 1  # shift to start from 0
         relative_coords[:, :, 1] += window_size[1] - 1