|
- #!/usr/bin/env python3
- # coding: utf-8
- # Copyright 2019 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
-
- """convolution"""
- from akg.ops.nn import conv
-
- def Conv2D(x, x_shape, w, w_shape, pad_list, stride=1, dilation=1):
- """convolution"""
- if len(pad_list) != 4:
- raise IndexError("Length of pad must be equal 4")
- pad_ = pad_list
- data = []
- data.append(x)
- data.append(w)
- fmap_shape = x_shape # 4D
- filter_shape = w_shape # 4D
- stride_ = [stride, stride]
- dilation_ = [dilation, dilation]
- return conv.conv(data, fmap_shape, filter_shape, pad_, stride_, dilation_, use_bias=False, attrs=None)
|