diff --git a/python/tvm/relay/op/_algorithm.py b/python/tvm/relay/op/_algorithm.py
index ace3de5fff067..19162a1083955 100644
--- a/python/tvm/relay/op/_algorithm.py
+++ b/python/tvm/relay/op/_algorithm.py
@@ -45,6 +45,7 @@
 register_strategy("searchsorted", strategy.searchsorted_strategy)
 register_pattern("searchsorted", OpPattern.OPAQUE)
 
+
 @script
 def _topk_shape_func_input_shape(data_shape, k, axis):
     ndim = data_shape.shape[0]
diff --git a/python/tvm/relay/op/op_attrs.py b/python/tvm/relay/op/op_attrs.py
index f9a4051f6aeb0..dba40b2f6f342 100644
--- a/python/tvm/relay/op/op_attrs.py
+++ b/python/tvm/relay/op/op_attrs.py
@@ -563,10 +563,12 @@ class SparseConv2DAttrs(Attrs):
 class TopkAttrs(Attrs):
     """Attributes used in topk operators"""
 
+
 @tvm._ffi.register_object("relay.attrs.SearchSortedAttrs")
 class SearchSortedAttrs(Attrs):
     """Attributes used in searchsorted operators"""
 
+
 @tvm._ffi.register_object("relay.attrs.TupleGetItemAttrs")
 class TupleGetItemAttrs(Attrs):
     """Attributes used in tuple item access operators"""
diff --git a/python/tvm/topi/cuda/searchsorted.py b/python/tvm/topi/cuda/searchsorted.py
index d84a1941369fc..286112ed1776b 100644
--- a/python/tvm/topi/cuda/searchsorted.py
+++ b/python/tvm/topi/cuda/searchsorted.py
@@ -14,6 +14,7 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+# pylint: disable=invalid-name
 """searchsorted operator for GPU"""
 import tvm
 from tvm import te
diff --git a/python/tvm/topi/searchsorted.py b/python/tvm/topi/searchsorted.py
index 3a984a60ecb5f..02b7d23621092 100644
--- a/python/tvm/topi/searchsorted.py
+++ b/python/tvm/topi/searchsorted.py
@@ -14,6 +14,7 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+# pylint: disable=invalid-name
 """searchsorted operator"""
 from . import utils
 from . import te
@@ -22,8 +23,7 @@
 
 
 def binary_search(
-    ib, sequence_offset, search_range, index, sorted_sequence, values, out_indices,
-    side, out_dtype
+    ib, sequence_offset, search_range, index, sorted_sequence, values, out_indices, side, out_dtype
 ):
     """Common IR generator for CPU and GPU searchsorted."""
     lo = ib.allocate(out_dtype, (1,), name="lo", scope="local")
diff --git a/python/tvm/topi/testing/searchsorted.py b/python/tvm/topi/testing/searchsorted.py
index e939fc8a0f7d8..1f4300b834110 100644
--- a/python/tvm/topi/testing/searchsorted.py
+++ b/python/tvm/topi/testing/searchsorted.py
@@ -1,7 +1,25 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""The reference implementation of searchsorted in Numpy."""
 import numpy as np
 
 
 def searchsorted_ref(sorted_sequence, values, side, out_dtype):
+    """Run Numpy searchsorted on 1-D or N-D sorted_sequence."""
     if len(sorted_sequence.shape) == 1 and len(values.shape) > 1:
         sorted_sequence_2d = np.tile(sorted_sequence, (np.prod(values.shape[:-1]), 1))
     else: