modify the deformable_attention_core_func code to fit paddle-trt (#7900)

ppdet/modeling/transformers/utils.py

@@ -74,8 +74,8 @@ def deformable_attention_core_func(value, value_spatial_shapes,
     """
     Args:
         value (Tensor): [bs, value_length, n_head, c]
-        value_spatial_shapes (Tensor): [n_levels, 2]
-        value_level_start_index (Tensor): [n_levels]
+        value_spatial_shapes (Tensor|List): [n_levels, 2]
+        value_level_start_index (Tensor|List): [n_levels]
         sampling_locations (Tensor): [bs, query_length, n_head, n_levels, n_points, 2]
         attention_weights (Tensor): [bs, query_length, n_head, n_levels, n_points]
 
@@ -85,8 +85,8 @@ def deformable_attention_core_func(value, value_spatial_shapes,
     bs, _, n_head, c = value.shape
     _, Len_q, _, n_levels, n_points, _ = sampling_locations.shape
 
-    value_list = value.split(
-        value_spatial_shapes.prod(1).split(n_levels), axis=1)
+    split_shape = [h * w for h, w in value_spatial_shapes]
+    value_list = value.split(split_shape, axis=1)
     sampling_grids = 2 * sampling_locations - 1
     sampling_value_list = []
     for level, (h, w) in enumerate(value_spatial_shapes):