diff --git a/imperative/python/megengine/functional/tensor.py b/imperative/python/megengine/functional/tensor.py
index 011e55a54b2c7f0c9c4f3fe78ffd54a41da2ea97..09ec2c5704f532a3d44326afb8e807cb0966f26a 100755
--- a/imperative/python/megengine/functional/tensor.py
+++ b/imperative/python/megengine/functional/tensor.py
@@ -399,8 +399,6 @@ def concat(inps: Iterable[Tensor], axis: int = 0, device=None) -> Tensor:
     if len(inps) == 1:
         return inps[0]
 
-    # FIXME: remove this convert_inputs
-    inps = convert_inputs(*inps, device=device)
     if device is None:
         device = get_device(inps)
     device = as_device(device)
@@ -1168,9 +1166,10 @@ def repeat(inp: Tensor, repeats: int, axis: Optional[int] = None):
         bcast_shape.append(shape[axis + 1 :])
         target_shape.append(shape[axis + 1 :])
 
-    out = broadcast_to(inp.reshape(concat(base_shape)), concat(bcast_shape)).reshape(
-        concat(target_shape)
-    )
+    base_shape = astensor1d(base_shape)
+    bcast_shape = astensor1d(bcast_shape)
+    target_shape = astensor1d(target_shape)
+    out = broadcast_to(inp.reshape(base_shape), bcast_shape).reshape(target_shape)
     return out
 
 
@@ -1191,9 +1190,10 @@ def _tile_one_dim(inp, rep, axis):
     if axis + 1 <= max_axis:
         target_shape.append(shape[axis + 1 :])
 
-    out = broadcast_to(inp.reshape(concat(base_shape)), concat(bcast_shape)).reshape(
-        concat(target_shape)
-    )
+    base_shape = astensor1d(base_shape)
+    bcast_shape = astensor1d(bcast_shape)
+    target_shape = astensor1d(target_shape)
+    out = broadcast_to(inp.reshape(base_shape), bcast_shape).reshape(target_shape)
     return out