!3061 Remove useless op registers of akg

Merge pull request !3061 from DeshiChen/0711_akg_op_register_master

mindspore/ops/_op_impl/akg/abs.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Abs op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Abs",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _abs_akg():
-    """Abs AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/add.py

@@ -1,72 +0,0 @@
-# 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.
-# ============================================================================
-
-"""TensorAdd op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "TensorAdd",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32",
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0",
-                "FracZ", "FracZ", "FracZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32",
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0",
-                "FracZ", "FracZ", "FracZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32",
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0",
-                "FracZ", "FracZ", "FracZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _add_akg():
-    """TensorAdd AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/add_n.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""AddN op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "AddN",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float32","float16","float32", "float16", "float32",
-                "float16","float32"
-            ],
-            "format": [
-                "DefaultFormat","DefaultFormat","NC1HWC0","NC1HWC0", "FracZ", "FracZ",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "dynamic",
-            "name": "inputs"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float32","float16","float32", "float16", "float32",
-                "float16","float32"
-            ],
-            "format": [
-                "DefaultFormat","DefaultFormat","NC1HWC0","NC1HWC0", "FracZ", "FracZ",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _add_n_akg():
-    """AddN AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/apply_momentum.py

@@ -1,103 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ApplyMomentum op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ApplyMomentum",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "use_nesterov",
-            "param_type": "optional",
-            "type": "bool"
-        },
-        {
-            "name": "gradient_scale",
-            "param_type": "optional",
-            "type": "float"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32","float32","float32"
-            ],
-            "format": [
-                "DefaultFormat","NC1HWC0","FracZ"
-            ],
-            "name": "variable"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32","float32","float32"
-            ],
-            "format": [
-                "DefaultFormat","NC1HWC0","FracZ"
-            ],
-            "name": "accumulation"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32","float32","float32"
-            ],
-            "format": [
-                "DefaultFormat","DefaultFormat","DefaultFormat"
-            ],
-            "name": "learning_rate"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32","float32","float32"
-            ],
-            "format": [
-                "DefaultFormat","NC1HWC0","FracZ"
-            ],
-            "name": "gradient"
-        },
-        {
-            "index": 4,
-            "dtype": [
-                "float32","float32","float32"
-            ],
-            "format": [
-                "DefaultFormat","DefaultFormat","DefaultFormat"
-            ],
-            "name": "momentum"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32","float32","float32"
-            ],
-            "format": [
-                "DefaultFormat","NC1HWC0","FracZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _apply_momentum_akg():
-    """ApplyMomentum AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/argmax.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Argmax op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Argmax",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "int32", "int32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _argmax_akg():
-    """Argmax AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/assign.py

@@ -1,63 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Assign op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Assign",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0", "FracZ", "FracZ", "FracZ"
-            ],
-            "name": "ref"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0", "FracZ", "FracZ", "FracZ"
-            ],
-            "name": "value"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0", "FracZ", "FracZ", "FracZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _assign_akg():
-    """Assign AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/assign_add.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""AssignAdd op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "AssignAdd",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "ref"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "value"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _assign_add_akg():
-    """AssignAdd AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/batchmatmul.py

@@ -1,73 +0,0 @@
-# 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.
-# ============================================================================
-
-"""BatchMatMul op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "BatchMatMul",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "transpose_a",
-            "param_type": "optional",
-            "type": "bool"
-        },
-        {
-            "name": "transpose_b",
-            "param_type": "optional",
-            "type": "bool"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "FRACTAL_NZ"
-            ],
-            "name": "x1"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "FRACTAL_NZ"
-            ],
-            "name": "x2"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _batchmatmul_akg():
-    """BatchMatMul AKG register"""
-    return

mindspore/ops/_op_impl/akg/bias_add.py

@@ -1,68 +0,0 @@
-# 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.
-# ============================================================================
-
-"""BiasAdd op"""
-
-from mindspore.ops.op_info_register import op_info_register
-
-@op_info_register("""{
-    "op_name": "BiasAdd",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "data_format",
-            "param_type": "optional",
-            "type": "listStr"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float32","float16","float32","float16","float32"
-            ],
-            "format": [
-                "NHWC","NHWC","NC1HWC0","NC1HWC0","DefaultFormat","DefaultFormat"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16","float32","float16","float32","float16","float32"
-            ],
-            "format": [
-                "NHWC","NHWC","NC1HWC0","NC1HWC0","DefaultFormat","DefaultFormat"
-            ],
-            "name": "b"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float32","float16","float32","float16","float32"
-            ],
-            "format": [
-                "DefaultFormat","DefaultFormat","NC1HWC0","NC1HWC0","DefaultFormat","DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _bias_add_akg():
-    """BiasAddGrad AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/bias_add_grad.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""BiasAddGrad op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "BiasAddGrad",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "data_format",
-            "param_type": "optional",
-            "type": "listStr"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float32","float16","float32","float16","float32"
-            ],
-            "format": [
-                "NHWC","NHWC","NC1HWC0","NC1HWC0","DefaultFormat","DefaultFormat"
-            ],
-            "name": "dout"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float32","float16","float32","float16","float32"
-            ],
-            "format": [
-                "DefaultFormat","DefaultFormat","NC1HWC0","NC1HWC0","DefaultFormat","DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _bias_add_grad_akg():
-    """BiasAddGrad AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/cast.py

@@ -1,74 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Cast op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Cast",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "dst_type",
-            "param_type": "required",
-            "type": "str"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "bool", "bool", 
-                "float16", "float32", "int32", "int32", 
-                "bool", 
-                "float16", "float32", "bool", "bool",
-                "float16", "float32", "bool", "bool"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "DefaultFormat", 
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "DefaultFormat", 
-                "DefaultFormat", 
-                "NC1HWC0", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32", "float16", "int32", "float16", 
-                "int32", "int32", "float16", "float32", 
-                "float32", 
-                "float32", "float16", "int32", "float32",
-                "float32", "float16", "int32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "DefaultFormat", 
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "DefaultFormat", 
-                "DefaultFormat", 
-                "NC1HWC0", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _cast_akg():
-    """Cast AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/clear_zero.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ClearZero op"""
-
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ClearZero",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "pad_mod",
-            "param_type": "optional",
-            "type": "string"
-        },
-        {
-            "name": "window",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "pad",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "stride",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-    ]
-}""")
-def _clear_zero_akg():
-    """MaxPoolGradWithArgmax AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/conv2d.py

@@ -1,88 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Conv2D op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Conv2D",
-    "imply_type": "AutoDiff",
-    "fusion_type": "CONVLUTION",
-    "attr": [
-        {
-            "name": "x_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "w_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "pad_list",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "stride",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "dilation",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "FracZ"
-            ],
-            "name": "w"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _conv2d_akg():
-    """Conv2D AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/conv2d_backprop_filter.py

@@ -1,88 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Conv2DBackpropFilter op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Conv2DBackpropFilter",
-    "imply_type": "AutoDiff",
-    "fusion_type": "CONVLUTION",
-    "attr": [
-        {
-            "name": "input_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "filter_sizes",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "stride",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "pad_list",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "dilation",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "out_backprop"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "input"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "FracZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _conv2d_backprop_filter_akg():
-    """Conv2DBackpropFilter AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/conv2d_backprop_input.py

@@ -1,88 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Conv2DBackpropInput op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Conv2DBackpropInput",
-    "imply_type": "AutoDiff",
-    "fusion_type": "CONVLUTION",
-    "attr": [
-        {
-            "name": "input_sizes",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "filter_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "stride",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "pad_list",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "dilation",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "out_backprop"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "FracZ"
-            ],
-            "name": "filter"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _conv2d_backprop_input_akg():
-    """Conv2DBackpropInput AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/conv_bn1.py

@@ -1,108 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ConvBN1 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ConvBN1",
-    "imply_type": "AutoDiff",
-    "fusion_type": "CONVLUTION",
-    "attr": [
-        {
-            "name": "x_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "w_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "pad_list",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "stride",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "dilation",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "FracZ"
-            ],
-            "name": "w"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "conv_res_16"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "var_part"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "mean"
-        }
-    ]
-}""")
-def _conv_bn1_akg():
-    """ConvBN1 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/div.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Div op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Div",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _div_akg():
-    """Div AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/equal.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Equal op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Equal",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "bool", "bool", "bool", "bool", "bool", "bool"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _equal_akg():
-    """Equal AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/equal_count.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""EqualCount op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "EqualCount",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32"
-            ],
-            "format": [
-                "DefaultFormat"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32"
-            ],
-            "format": [
-                "DefaultFormat"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32"
-            ],
-            "format": [
-                "DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _equal_count_akg():
-    """EqualCount AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/equiv_format.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""EquivFormat op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "EquivFormat",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "FRACTAL_NZ", "FRACTAL_NZ", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _equiv_format_akg():
-    """EquivFormat AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/exp.py

@@ -1,59 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Exp op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Exp",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _exp_akg():
-    """Exp AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/expand_dims.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ExpandDims op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ExpandDims",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "y"
-        }
-    ]
-}""")
-def _expand_dims_akg():
-    """ExpandDims AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/five2four.py

@@ -1,68 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Five2Four op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Five2Four",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "shape4d",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "dstType",
-            "param_type": "required",
-            "type": "str"
-        },
-        {
-            "name": "output_format",
-            "param_type": "required",
-            "type": "str"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float16","float16","float32","float16","float32"
-            ],
-            "format": [
-                "NC1HWC0","NC1HWC0","NC1HWC0","NC1HWC0","NC1HWC0","NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16","float16","float32","float32","float32","float32"
-            ],
-            "format": [
-                "DefaultFormat","NHWC","DefaultFormat","DefaultFormat","NHWC","NHWC"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _five2four_akg():
-    """Five2Four AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/floordiv.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""FloorDiv op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "FloorDiv",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "int32", "int32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _floor_div_akg():
-    """FloorDiv AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/four2five.py

@@ -1,63 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Four2Five op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Four2Five",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "data_format",
-            "param_type": "optional",
-            "type": "listStr"
-        },
-        {
-            "name": "dst_type",
-            "param_type": "required",
-            "type": "str"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float32", "float16","float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NHWC", "NHWC", "NHWC"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float16", "float32", "float16", "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0", "NC1HWC0", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _four2five_akg():
-    """Four2Five AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_batch_norm.py

@@ -1,149 +0,0 @@
-# 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.
-# ============================================================================
-
-"""FusedBatchNorm op"""
-
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "FusedBatchNorm",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "momentum",
-            "param_type": "optional",
-            "type": "float"
-        },
-        {
-            "name": "epsilon",
-            "param_type": "optional",
-            "type": "float"
-        },
-        {
-            "name": "data_format",
-            "param_type": "optional",
-            "type": "listStr"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "scale"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "b"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "mean"
-        },
-        {
-            "index": 4,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "variance"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "y"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "running_mean"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "running_variance"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "save_mean"
-        },
-        {
-            "index": 4,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "save_inv_variance"
-        }
-    ]
-}""")
-def _fused_batch_norm_akg():
-    """FusedBatchNorm AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_batch_norm_grad.py

@@ -1,119 +0,0 @@
-# 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.
-# ============================================================================
-
-"""FusedBatchNormGrad op"""
-
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "FusedBatchNormGrad",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "data_format",
-            "param_type": "optional",
-            "type": "listStr"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "dy"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "scale"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "save_mean"
-        },
-        {
-            "index": 4,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "save_inv_variance"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "dx"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "bn_scale"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "bn_bias"
-        }
-    ]
-}""")
-def _fused_batch_norm_grad_akg():
-    """BiasAddGrad AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_batch_norm_infer.py

@@ -1,109 +0,0 @@
-# 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.
-# ============================================================================
-
-"""FusedBatchNormInfer op"""
-
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "FusedBatchNormInfer",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "momentum",
-            "param_type": "optional",
-            "type": "float"
-        },
-        {
-            "name": "epsilon",
-            "param_type": "optional",
-            "type": "float"
-        },
-        {
-            "name": "data_format",
-            "param_type": "optional",
-            "type": "listStr"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "scale"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "b"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "mean"
-        },
-        {
-            "index": 4,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "variance"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ]
-}""")
-def _fused_batch_norm_infer_akg():
-    """FusedBatchNormInfer AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_bn1.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""FusedBN1 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "FusedBN1",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "data"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _fused_bn1_akg():
-    """FusedBN1 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_bn1_grad.py

@@ -1,93 +0,0 @@
-# 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.
-# ============================================================================
-
-"""BNGrad1 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "BNGrad1",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "dy"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "data"
-        },{
-            "index": 2,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "mean"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _bn1_grad_akg():
-    """BNGrad1 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_bn2.py

@@ -1,108 +0,0 @@
-# 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.
-# ============================================================================
-
-"""FusedBN2 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "FusedBN2",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "momentum",
-            "param_type": "optional",
-            "type": "float"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "mean"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "var_part"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "running_mean"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "running_var"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _fused_bn2_akg():
-    """FusedBN2 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_bn2_grad.py

@@ -1,132 +0,0 @@
-# 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.
-# ============================================================================
-
-"""BNGrad1 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "BNGrad2",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "eps",
-            "param_type": "optional",
-            "type": "float"
-        },
-        {
-            "name": "data_shape",
-            "param_type": "optional",
-            "type": "listInt"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "dgamma_red_hw"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "dbeta_red_hw"
-        },{
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "variance"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "gamma"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 4,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _bn2_grad_akg():
-    """BNGrad2 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_bn3.py

@@ -1,95 +0,0 @@
-# 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.
-# ============================================================================
-
-"""FusedBN3 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "FusedBN3",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "eps",
-            "param_type": "optional",
-            "type": "float"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "data"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "mean"
-        },{
-            "index": 2,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "variance"
-        },{
-            "index": 3,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "gamma"
-        },{
-            "index": 4,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "beta"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _fused_bn3_akg():
-    """FusedBN3 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/fused_bn3_grad.py

@@ -1,93 +0,0 @@
-# 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.
-# ============================================================================
-
-"""BNGrad3 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "BNGrad3",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "dy"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "rs"
-        },{
-            "index": 2,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "dgamma_dx"
-        },
-        {
-            "index": 3,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "dbeta_dx"
-        },
-        {
-            "index": 4,
-            "dtype": [
-                "float32", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "data_minus_mean"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _bn3_grad_akg():
-    """BNGrad3 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/gather_v2.py

@@ -1,68 +0,0 @@
-# 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.
-# ============================================================================
-
-"""GatherV2 op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "GatherV2",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "params"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "int32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "indices"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _gather_v2_akg():
-    """GatherV2 AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/greater.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Greater op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Greater",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float16", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float16", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "bool", "bool", "bool", "bool"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _greater_akg():
-    """Greater AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/greater_equal.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""GreaterEqual op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "GreaterEqual",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "bool", "bool", "bool", "bool", "bool", "bool"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _greater_equal_akg():
-    """Equal AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/inplace_assign.py

@@ -1,78 +0,0 @@
-# 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.
-# ============================================================================
-
-"""InplaceAssign op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "InplaceAssign",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "fake_output",
-            "param_type": "optional",
-            "type": "bool"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0", "FracZ", "FracZ", "FracZ"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0", "FracZ", "FracZ", "FracZ"
-            ],
-            "name": "y"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0", "FracZ", "FracZ", "FracZ"
-            ],
-            "name": "z"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0", "FracZ", "FracZ", "FracZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _inplace_assign_akg():
-    """InplaceAssign AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/less.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Less op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Less",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "bool", "bool"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _less_akg():
-    """Less AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/less_equal.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""LessEqual op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "LessEqual",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "bool", "bool", "bool", "bool", "bool", "bool"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _less_equal_akg():
-    """Equal AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/log.py

@@ -1,55 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Log op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Log",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _log_akg():
-    """Log AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/matmul.py

@@ -1,73 +0,0 @@
-# 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.
-# ============================================================================
-
-"""MatMul op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "MatMul",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "transpose_a",
-            "param_type": "optional",
-            "type": "bool"
-        },
-        {
-            "name": "transpose_b",
-            "param_type": "optional",
-            "type": "bool"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "x1"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "x2"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _matmul_akg():
-    """MatMul AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/max.py

@@ -1,63 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Max op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Max",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "keep_dims",
-            "param_type": "required",
-            "type": "bool"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                 "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _max_akg():
-    """Max AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/max_pool_grad_with_argmax.py

@@ -1,93 +0,0 @@
-# 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.
-# ============================================================================
-
-"""MaxPoolGradWithArgmax op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "MaxPoolGradWithArgmax",
-    "imply_type": "AutoDiff",
-    "fusion_type": "CONVLUTION",
-    "attr": [
-        {
-            "name": "pad_mode",
-            "param_type": "optional",
-            "type": "str"
-         },
-        {
-            "name": "window",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "pad",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "stride",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float16"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "argmax"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "grad"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32"
-            ],
-            "format": [
-                "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _max_pool_grad_with_argmax_akg():
-    """MaxPoolGradWithArgmax AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/max_pool_with_argmax.py

@@ -1,83 +0,0 @@
-# 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.
-# ============================================================================
-
-"""MaxPoolWithArgmax op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "MaxPoolWithArgmax",
-    "imply_type": "AutoDiff",
-    "fusion_type": "CONVLUTION",
-    "attr": [
-        {
-            "name": "pad_mode",
-            "param_type": "optional",
-            "type": "str"
-        },
-        {
-            "name": "window",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "pad",
-            "param_type": "optional",
-            "type": "int"
-        },
-        {
-            "name": "stride",
-            "param_type": "optional",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "NC1HWC0"
-            ],
-            "name": "output"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16"
-            ],
-            "format": [
-                "DefaultFormat"
-            ],
-            "name": "argmax"
-        }
-    ]
-}""")
-def _max_pool_with_argmax_akg():
-    """MaxPoolWithArgmax AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/maximum.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Maximum op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Maximum",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                 "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _maximum_akg():
-    """Maximum AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/mean.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""SimpleMean op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "SimpleMean",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _mean_akg():
-    """SimpleMean AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/mean_grad.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""SimpleMeanGrad op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "SimpleMeanGrad",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "input_shape",
-            "param_type": "required",
-            "type": "listInt"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "HEAD"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _mean_grad_akg():
-    """SimpleMeanGrad AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/minimum.py

@@ -1,70 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Minimum op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Minimum",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32",
-                "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32",
-                "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                 "float16", "float32", "int32", "float16", "float32", "int32",
-                 "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _minimum_akg():
-    """Minimum AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/mul.py

@@ -1,86 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Mul op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Mul",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "x_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "y_shape",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "data_format",
-            "param_type": "required",
-            "type": "listStr"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "FracZ", "FracZ", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32", "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "FracZ", "FracZ", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "FracZ", "FracZ", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _mul_akg():
-    """Mul AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/neg.py

@@ -1,59 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Neg op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Neg",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32",
-                "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                 "float16", "float32", "int32", "float16", "float32", "int32",
-                 "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _neg_akg():
-    """Neg AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/one_hot.py

@@ -1,83 +0,0 @@
-# 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.
-# ============================================================================
-
-"""OneHot op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "OneHot",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "depth",
-            "param_type": "required",
-            "type": "int"
-        },
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "int32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "indices"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "on_value"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "int32", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "off_value"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _one_hot_akg():
-    """OneHot AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/pow.py

@@ -1,65 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Pow op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Pow",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "power"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _power_akg():
-    """Pow AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/real_div.py

@@ -1,72 +0,0 @@
-# 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.
-# ============================================================================
-
-"""RealDiv op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "RealDiv",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _real_div_akg():
-    """RealDiv AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/reciprocal.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Reciprocal op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Reciprocal",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _reciprocal_akg():
-    """Reciprocal AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/reduce_max.py

@@ -1,63 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ReduceMax op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ReduceMax",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "keep_dims",
-            "param_type": "required",
-            "type": "bool"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                 "float16", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _reduce_max_akg():
-    """ReduceMax AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/reduce_mean.py

@@ -1,63 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ReduceMean op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ReduceMean",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "keep_dims",
-            "param_type": "required",
-            "type": "bool"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _reduce_mean_akg():
-    """ReduceMean AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/reduce_sum.py

@@ -1,73 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ReduceSum op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ReduceSum",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "keep_dims",
-            "param_type": "required",
-            "type": "bool"
-        },
-        {
-            "name": "atomic_add",
-            "param_type": "optional",
-            "type": "str"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _reduce_sum_akg():
-    """ReduceSum AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/relu.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ReLU op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ReLU",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _relu_akg():
-    """ReLU AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/relu_grad.py

@@ -1,64 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ReluGrad op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ReluGrad",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "y_backprop"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _relu_grad_akg():
-    """ReluGrad AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/reshape.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Reshape op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Reshape",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "shape",
-            "param_type": "required",
-            "type": "listInt"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "tensor"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _reshape_akg():
-    """Reshape AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/round.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Round op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Round",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _round_akg():
-    """Round AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/rsqrt.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Rsqrt op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Rsqrt",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                 "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _rsqrt_akg():
-    """Rsqrt AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/select.py

@@ -1,76 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Select op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Select",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "bool", "bool", "bool", "bool", "bool", "bool"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "condition"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 2,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "int32", "float16", "int32", "float32", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "DefaultFormat", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _select_akg():
-    """Select AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/softmax.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Softmax op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Softmax",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "listInt"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _softmax_akg():
-    """Softmax AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/sparse_softmax_cross_entropy_with_logits.py

@@ -1,73 +0,0 @@
-# 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.
-# ============================================================================
-
-"""SparseSoftmaxCrossEntropyWithLogits op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "SparseSoftmaxCrossEntropyWithLogits",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "is_grad",
-            "param_type": "optional",
-            "type": "bool"
-        },
-        {
-            "name": "sens",
-            "param_type": "optional",
-            "type": "float"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "DefaultFormat"
-            ],
-            "name": "features"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32"
-            ],
-            "format": [
-                "DefaultFormat"
-            ],
-            "name": "labels"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float32"
-            ],
-            "format": [
-                "DefaultFormat"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _sparse_softmax_cross_entropy_with_logits_akg():
-    """SparseSoftmaxCrossEntropyWithLogits AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/sqrt.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Sqrt op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Sqrt",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "param_type": "required",
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                 "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _sqrt_akg():
-    """Sqrt AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/strided_slice.py

@@ -1,93 +0,0 @@
-# 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.
-# ============================================================================
-
-"""StridedSlice op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "StridedSlice",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "begin",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "end",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "strides",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "begin_mask",
-            "param_type": "required",
-            "type": "int"
-        },
-        {
-            "name": "end_mask",
-            "param_type": "required",
-            "type": "int"
-        },
-        {
-            "name": "ellipsis_mask",
-            "param_type": "required",
-            "type": "int"
-        },
-        {
-            "name": "new_axis_mask",
-            "param_type": "required",
-            "type": "int"
-        },
-        {
-            "name": "shrink_axis_mask",
-            "param_type": "required",
-            "type": "int"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32",  "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32",  "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _strided_slice_akg():
-    """StridedSlice AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/sub.py

@@ -1,72 +0,0 @@
-# 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
-
-
-@op_info_register("""{
-    "op_name": "Sub",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32",
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FracZ", "FracZ", "FracZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        },
-        {
-            "index": 1,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32",
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FracZ", "FracZ", "FracZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "y"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "int32", "float16", "float32", "int32", "float16", "float32",
-                "int32", "float16", "float32", "int32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0",
-                "FracZ", "FracZ", "FracZ", "FRACTAL_NZ", "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _sub_akg():
-    """Sub AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/sum.py

@@ -1,68 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Sum op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Sum",
-    "imply_type": "AutoDiff",
-    "fusion_type": "COMMREDUCE",
-    "attr": [
-        {
-            "name": "axis",
-            "param_type": "required",
-            "type": "listInt"
-        },
-        {
-            "name": "keepdims",
-            "param_type": "required",
-            "type": "bool"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "param_type": "required",
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32",
-                "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0",
-                "FRACTAL_NZ", "FRACTAL_NZ"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _sum_akg():
-    """Sum AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/tile.py

@@ -1,58 +0,0 @@
-# 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.
-# ============================================================================
-
-"""Tile op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "Tile",
-    "imply_type": "AutoDiff",
-    "fusion_type": "OPAQUE",
-    "attr": [
-        {
-            "name": "multiples",
-            "param_type": "required",
-            "type": "listInt"
-        }
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "int32", "float16", "float32", "int32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _tile_akg():
-    """Tile AutoDiff register"""
-    return

mindspore/ops/_op_impl/akg/zeros_like.py

@@ -1,54 +0,0 @@
-# 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.
-# ============================================================================
-
-"""ZerosLike op"""
-from mindspore.ops.op_info_register import op_info_register
-
-
-@op_info_register("""{
-    "op_name": "ZerosLike",
-    "imply_type": "AutoDiff",
-    "fusion_type": "ELEMWISE",
-    "attr": [
-    
-    ],
-    "inputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "x"
-        }
-    ],
-    "outputs": [
-        {
-            "index": 0,
-            "dtype": [
-                "float16", "float32", "float16", "float32"
-            ],
-            "format": [
-                "DefaultFormat", "DefaultFormat", "NC1HWC0", "NC1HWC0"
-            ],
-            "name": "output"
-        }
-    ]
-}""")
-def _zeros_like_akg():
-    """ZerosLike AutoDiff register"""
-    return