add ops TensorMove

mindspore/ops/_op_impl/tbe/__init__.py

@@ -284,3 +284,4 @@ from .scatter_div import _scatter_div_tbe
 from .mod import _mod_tbe
 from .max_pool_grad_grad import _max_pool_grad_grad_tbe
 from .max_pool_grad_grad_with_argmax import _max_pool_grad_grad_with_argmax_tbe
+from .tensor_move import _tensor_move_tbe

mindspore/ops/_op_impl/tbe/tensor_move.py

@@ -0,0 +1,41 @@
+# 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.
+# ============================================================================
+
+"""TensorMove op"""
+from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
+
+tensor_move_op_info = TBERegOp("TensorMove") \
+    .fusion_type("OPAQUE") \
+    .async_flag(False) \
+    .binfile_name("tensor_move.so") \
+    .compute_cost(10) \
+    .kernel_name("tensor_move") \
+    .partial_flag(True) \
+    .input(0, "x", False, "required", "all") \
+    .output(0, "y", False, "required", "all") \
+    .op_pattern("formatAgnostic") \
+    .dtype_format(DataType.I32_None, DataType.I32_None) \
+    .dtype_format(DataType.F16_None, DataType.F16_None) \
+    .dtype_format(DataType.F32_None, DataType.F32_None) \
+    .dtype_format(DataType.I8_None, DataType.I8_None) \
+    .dtype_format(DataType.U8_None, DataType.U8_None) \
+    .dtype_format(DataType.BOOL_None, DataType.BOOL_None) \
+    .get_op_info()
+
+
+@op_info_register(tensor_move_op_info)
+def _tensor_move_tbe():
+    """TensorMove TBE register"""
+    return