remove developing code

x2paddle/op_mapper/onnx2paddle/opsets/opset10.py

-# Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
-#
-# 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.
-
-from x2paddle.core.graph import GraphNode
-from x2paddle.core.op_mapper import OpMapper
-from x2paddle.core.fluid_code import Layer
-from x2paddle.core.fluid_code import FluidCode
-from x2paddle.decoder.onnx_decoder import ONNXGraph, ONNXGraphNode, ONNXGraphDataNode
-from x2paddle.op_mapper.onnx.custom_layer import *
-from x2paddle.op_mapper.onnx.opset9 import ONNXOpMapperOpSet9
-from x2paddle.core.util import string
-import numpy as np
-import onnx
-import onnx.numpy_helper as numpy_helper
-from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
-import logging as _logging
-from collections import OrderedDict
-import math
-import os
-import shutil
-from functools import reduce
-
-
-class ONNXOpMapperOpSet10(ONNXOpMapperOpSet9):
-    def __init__(self, decoder):
-        super(ONNXOpMapperOpSet10, self).__init__(decoder)

x2paddle/op_mapper/onnx2paddle/opsets/opset11.py

-# Copyright (c) 2019  PaddlePaddle Authors. All Rights Reserved.
-#
-# 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.
-
-from x2paddle.core.graph import GraphNode
-from x2paddle.core.op_mapper import OpMapper
-from x2paddle.core.fluid_code import Layer
-from x2paddle.core.fluid_code import FluidCode
-from x2paddle.decoder.onnx_decoder import ONNXGraph, ONNXGraphNode, ONNXGraphDataNode
-from x2paddle.op_mapper.onnx.custom_layer import *
-from x2paddle.op_mapper.onnx.opset10 import ONNXOpMapperOpSet10
-from x2paddle.core.util import string
-import numpy as np
-import onnx
-import onnx.numpy_helper as numpy_helper
-from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
-import logging as _logging
-from collections import OrderedDict
-import math
-import os
-import shutil
-from functools import reduce
-
-
-class ONNXOpMapperOpSet11(ONNXOpMapperOpSet10):
-    def __init__(self, decoder):
-        super(ONNXOpMapperOpSet11, self).__init__(decoder)