Doc error handled

tests/python/frontend/mxnet/test_forward.py

@@ -610,27 +610,20 @@ def verify(shape, indices_src, axis, mode="clip"):
 def test_forward_gather_nd():
     def verify(xshape, yshape, y_data, error=False):
         x_data = np.random.uniform(size=xshape).astype("float32")
-        #ref_res = mx.nd.gather_nd(mx.nd.array(x_data), mx.nd.array(y_data))
-        #mx_sym = mx.sym.gather_nd(mx.sym.var("x_data"), mx.sym.var("y_data"))
-        try:
-            ref_res = mx.nd.gather_nd(mx.nd.array(x_data), mx.nd.array(y_data))
-            mx_sym = mx.sym.gather_nd(mx.sym.var("x_data"), mx.sym.var("y_data"))
-            mod, _ = relay.frontend.from_mxnet(mx_sym, {"x_data": xshape, "y_data": yshape}, {"x_data": "float32", "y_data": "int32"})
-            for target, ctx in ctx_list():
-                for kind in ["graph", "debug"]:
-                    intrp = relay.create_executor(kind, mod=mod, ctx=ctx, target=target)
-                    op_res = intrp.evaluate()(x_data, y_data)
-                    tvm.testing.assert_allclose(op_res.asnumpy(), ref_res.asnumpy())
-        except Exception as e:
-            if not error:
-                raise e
+        ref_res = mx.nd.gather_nd(mx.nd.array(x_data), mx.nd.array(y_data))
+        mx_sym = mx.sym.gather_nd(mx.sym.var("x_data"), mx.sym.var("y_data"))
+        mod, _ = relay.frontend.from_mxnet(mx_sym, {"x_data": xshape, "y_data": yshape}, {"x_data": "float32", "y_data": "int32"})
+        for target, ctx in ctx_list():
+            for kind in ["graph", "debug"]:
+                intrp = relay.create_executor(kind, mod=mod, ctx=ctx, target=target)
+                op_res = intrp.evaluate()(x_data, y_data)
+                tvm.testing.assert_allclose(op_res.asnumpy(), ref_res.asnumpy())
 
     verify((2, 2), (2, 3), [[1, 1, 0], [0, 1, 0]])
     verify((2, 2, 2), (2, 2), [[0, 1], [1, 0]])
     verify((3, 2, 2), (2, 2), [[0, 1], [1, 0]])
     verify((3, 2), (2, 2, 3), [[[0, 1, 2], [2, 0, 1]], [[0, 0, 0], [1, 1, 1]]])
     verify((1, 4), (1, 1), [[0]])
-    verify((4,), (1,), [1], error=True)
 
 def test_forward_bilinear_resize():
     # add tests including scale_height and scale_width when mxnet is updated to version 1.5

topi/include/topi/transform.h

@@ -987,7 +987,6 @@ inline Tensor tile(const Tensor& x, Array<Integer> reps, std::string name = "T_t
  *
  * \param data The source array.
  * \param indices The indices of the values to extract.
- * \param one_dim_support To allow user to input 1 dim tensor.
  * \param name The name of the operation.
  * \param tag The tag to mark the operation.
  *