fix embeddinglookupgrad when param shape is one dim

mindspore/ops/_grad/grad_array_ops.py

@@ -230,8 +230,9 @@ def get_bprop_embedding_look_up(self):
         # Reshape the 'new_indices'
         new_indices_shape_changed = (size_op(new_indices),)
         new_indices = reshape_op(new_indices, new_indices_shape_changed)
-        x_shp_tail = x_shp[1:]
-        actual_dout_shape_changed = new_indices_shape_changed + x_shp_tail
+        actual_dout_shape_changed = new_indices_shape_changed
+        if len(x_shp) > 1:
+            actual_dout_shape_changed += x_shp[1:]
         actual_dout = reshape_op(dout, actual_dout_shape_changed)
         return (new_indices, actual_dout, x_shp), zeros_like(indices), zeros_like(offset)
     return bprop

tests/st/ops/ascend/test_embedding_lookup.py

@@ -15,6 +15,7 @@
 import numpy as np
 
 import mindspore.context as context
+import mindspore.nn as nn
 import mindspore.common.dtype as mstype
 from mindspore import Tensor
 from mindspore.ops import operations as P