diff --git a/mindspore/_akg/gpu/logical_not.py b/mindspore/_akg/gpu/logical_not.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a381071872f08ee5dda15e24ece32b0ba252973
--- /dev/null
+++ b/mindspore/_akg/gpu/logical_not.py
@@ -0,0 +1,40 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# 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.
+"""logical_not"""
+import _akg.tvm
+from _akg.ops.math import logical_not
+from _akg.topi.generic import schedule_elemwise
+
+def LogicalNot(x):
+    """LogicalNot."""
+    return logical_not.logical_not(x)
+
+
+def gpu_schedule_LogicalNot(outs):
+    """
+    GPU schedule for LogicalNot.
+
+    Args:
+        outs (tvm.tensor.Tensor): outputs of compute.
+
+    Returns:
+        sch (schedule.Schedule): The created schedule.
+    """
+    device = 'cuda'
+    ctx = _akg.tvm.context(device, 0)
+    if not ctx.exist:
+        raise SystemError("Skip because %s is not enabled" % device)
+    with _akg.tvm.target.create(device):
+        sch = schedule_elemwise(outs)
+    return sch
diff --git a/mindspore/_akg/gpu/sub.py b/mindspore/_akg/gpu/sub.py
new file mode 100644
index 0000000000000000000000000000000000000000..611e4228fd3d333c66bad1cd1e36442bf9b0d327
--- /dev/null
+++ b/mindspore/_akg/gpu/sub.py
@@ -0,0 +1,40 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# 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.
+"""sub"""
+import _akg.tvm
+from _akg.ops.math import sub
+from _akg.topi.generic import schedule_elemwise
+
+def Sub(x, y):
+    """Sub."""
+    return sub.sub(x, y)
+
+
+def gpu_schedule_Sub(outs):
+    """
+    GPU schedule for Sub.
+
+    Args:
+        outs (tvm.tensor.Tensor): outputs of compute.
+
+    Returns:
+        sch (schedule.Schedule): The created schedule.
+    """
+    device = 'cuda'
+    ctx = _akg.tvm.context(device, 0)
+    if not ctx.exist:
+        raise SystemError("Skip because %s is not enabled" % device)
+    with _akg.tvm.target.create(device):
+        sch = schedule_elemwise(outs)
+    return sch
diff --git a/mindspore/_akg/ops/math/logical_not.py b/mindspore/_akg/ops/math/logical_not.py
new file mode 100644
index 0000000000000000000000000000000000000000..9befe7e81631ab076071a4ac10d90c2a5f090734
--- /dev/null
+++ b/mindspore/_akg/ops/math/logical_not.py
@@ -0,0 +1,32 @@
+# Copyright 2019 Huawei Technologies Co., Ltd
+#
+# 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.
+
+"""operator dsl function: logical_not"""
+import _akg.tvm
+import _akg.topi
+from _akg.utils import validation_check as vc_util
+
+@vc_util.check_input_type(_akg.tvm.tensor.Tensor)
+def logical_not(input1):
+    """
+    Compute logical_not of input1.
+
+    Args:
+        input1 (tvm.tensor.Tensor): Tensor.
+
+    Returns:
+        tvm.tensor.Tensor.
+    """
+    res = _akg.topi.logical_not(input1)
+    return res
diff --git a/mindspore/ops/_op_impl/akg/gpu/logical_not.py b/mindspore/ops/_op_impl/akg/gpu/logical_not.py
new file mode 100644
index 0000000000000000000000000000000000000000..4b3c7bf647f88ecae8510b5ad6591fba83bdd863
--- /dev/null
+++ b/mindspore/ops/_op_impl/akg/gpu/logical_not.py
@@ -0,0 +1,28 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# 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.
+
+"""LogicalNot op"""
+from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
+
+logical_not_op_info = AkgRegOp("LogicalNot") \
+    .fusion_type("OPAQUE") \
+    .input(0, "x") \
+    .output(0, "output") \
+    .dtype_format(DataType.BOOL_Default, DataType.BOOL_Default) \
+    .get_op_info()
+
+@op_info_register(logical_not_op_info)
+def _logical_not_akg():
+    """LogicalNot AutoDiff register"""
+    return
diff --git a/mindspore/ops/_op_impl/akg/gpu/sub.py b/mindspore/ops/_op_impl/akg/gpu/sub.py
new file mode 100644
index 0000000000000000000000000000000000000000..06b92fb49efda6c68b2345e8be496520e7c4dcce
--- /dev/null
+++ b/mindspore/ops/_op_impl/akg/gpu/sub.py
@@ -0,0 +1,31 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# 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.
+
+"""Sub op"""
+from mindspore.ops.op_info_register import op_info_register, AkgRegOp, DataType
+
+sub_op_info = AkgRegOp("Sub") \
+    .fusion_type("OPAQUE") \
+    .input(0, "x") \
+    .input(1, "y") \
+    .output(0, "output") \
+    .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.F16_Default) \
+    .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.F32_Default) \
+    .dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.I32_Default) \
+    .get_op_info()
+
+@op_info_register(sub_op_info)
+def _sub_akg():
+    """Sub AutoDiff register"""
+    return