diff --git a/tripy/tests/integration/test_arange.py b/tripy/tests/integration/test_arange.py
index 31951e7df..e5a03ec72 100644
--- a/tripy/tests/integration/test_arange.py
+++ b/tripy/tests/integration/test_arange.py
@@ -12,34 +12,6 @@
 # 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.
-# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed 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.
-# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-# SPDX-License-Identifier: Apache-2.0
-#
-# Licensed 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.
 
 import cupy as cp
 import numpy as np
diff --git a/tripy/tripy/frontend/ops/tensor_initializers.py b/tripy/tripy/frontend/ops/tensor_initializers.py
index 20af5aa8e..beabf8c4c 100644
--- a/tripy/tripy/frontend/ops/tensor_initializers.py
+++ b/tripy/tripy/frontend/ops/tensor_initializers.py
@@ -300,7 +300,7 @@ def triu(tensor: "tripy.Tensor", diagonal: int = 0) -> "tripy.Tensor":
 )
 def arange(
     start: Union[numbers.Number, "tripy.Tensor"],
-    stop: Union[numbers.Number, "tripy.Tensor"],
+    stop: Union[numbers.Number, "tripy.Tensor"] = None,
     step: Union[numbers.Number, "tripy.Tensor"] = 1,
     dtype: "tripy.dtype" = datatype.float32,
 ) -> "tripy.Tensor":
@@ -317,6 +317,9 @@ def arange(
     Returns:
         A tensor of shape :math:`[\frac{\text{stop}-\text{start}}{\text{step}}]`.
 
+    Note:
+        If only single argument is passed to arange, argument will be interpreted as stop and start will be set to 0.
+
     .. code-block:: python
         :linenos:
         :caption: Example
@@ -336,6 +339,10 @@ def arange(
     from tripy.common.datatype import int32, int64
     from tripy.frontend.tensor import Tensor
 
+    if stop is None:
+        stop = start
+        start = 0
+
     if dtype == int64:
         raise_error("Known issue with i64. Arange currently does not work with int64 inputs.")
 
@@ -361,39 +368,3 @@ def arange(
 
     output = iota((size,), 0, dtype) * full((size,), step, dtype) + full((size,), start, dtype)
     return output
-
-
-@export.public_api(document_under="operations/initializers")
-@constraints.dtype_info(
-    dtype_variables={
-        "T1": ["float32", "float16", "bfloat16", "int8", "int32", "bool"],
-    },
-    dtype_constraints={"dtype": "T1", constraints.RETURN_VALUE: "T1"},
-)
-def arange(stop: numbers.Number, dtype: "tripy.dtype" = datatype.float32) -> "tripy.Tensor":
-    r"""
-    Returns a 1D tensor containing a sequence of numbers in the half-open interval
-    :math:`[0, \text{stop})` incrementing by 1.
-
-
-    Args:
-        stop: The exclusive upper bound of the values to generate.
-        dtype: The desired datatype of the tensor.
-
-    Returns:
-        A tensor of shape :math:`[\text{stop}]`.
-
-    .. code-block:: python
-        :linenos:
-        :caption: Example
-
-        output = tp.arange(5)
-
-        assert (cp.from_dlpack(output).get() == np.arange(5, dtype=np.float32)).all()
-    """
-    from tripy.common.datatype import int64
-    from tripy.frontend.tensor import Tensor
-
-    if dtype == int64:
-        raise_error("Known issue with i64. Arange currently does not work with int64 inputs. Issue #116")
-    return arange(0, stop, dtype=dtype)