1 /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_UTIL_PADDING_H_ 17 #define TENSORFLOW_UTIL_PADDING_H_ 18 19 // This file contains helper routines to deal with padding in various ops and 20 // kernels. 21 22 #include <string> 23 24 #include "tensorflow/core/lib/core/status.h" 25 26 namespace tensorflow { 27 28 class NodeDef; 29 30 // Padding: the padding we apply to the input tensor along the rows and columns 31 // dimensions. This is usually used to make sure that the spatial dimensions do 32 // not shrink when we progress with convolutions. Two types of padding are 33 // supported: 34 // VALID: No padding is carried out. 35 // SAME: The pad value is computed so that the output will have the same 36 // dimensions as the input. 37 // The padded area is zero-filled. 38 enum Padding { 39 VALID = 1, // No padding. 40 SAME = 2, // Input and output layers have the same size. 41 }; 42 43 // Return the string containing the list of valid padding types, that can be 44 // used as an Attr() in REGISTER_OP. 45 string GetPaddingAttrString(); 46 47 // Specialization to parse an attribute directly into a Padding enum. 48 Status GetNodeAttr(const NodeDef& node_def, StringPiece attr_name, 49 Padding* value); 50 51 } // end namespace tensorflow 52 53 #endif // TENSORFLOW_UTIL_PADDING_H_ 54
