├── LICENSE ├── README.md └── octconv.py /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. Definitions. 8 | 9 | "License" shall mean the terms and conditions for use, reproduction, 10 | and distribution as defined by Sections 1 through 9 of this document. 11 | 12 | "Licensor" shall mean the copyright owner or entity authorized by 13 | the copyright owner that is granting the License. 14 | 15 | "Legal Entity" shall mean the union of the acting entity and all 16 | other entities that control, are controlled by, or are under common 17 | control with that entity. For the purposes of this definition, 18 | "control" means (i) the power, direct or indirect, to cause the 19 | direction or management of such entity, whether by contract or 20 | otherwise, or (ii) ownership of fifty percent (50%) or more of the 21 | outstanding shares, or (iii) beneficial ownership of such entity. 22 | 23 | "You" (or "Your") shall mean an individual or Legal Entity 24 | exercising permissions granted by this License. 25 | 26 | "Source" form shall mean the preferred form for making modifications, 27 | including but not limited to software source code, documentation 28 | source, and configuration files. 29 | 30 | "Object" form shall mean any form resulting from mechanical 31 | transformation or translation of a Source form, including but 32 | not limited to compiled object code, generated documentation, 33 | and conversions to other media types. 34 | 35 | "Work" shall mean the work of authorship, whether in Source or 36 | Object form, made available under the License, as indicated by a 37 | copyright notice that is included in or attached to the work 38 | (an example is provided in the Appendix below). 39 | 40 | "Derivative Works" shall mean any work, whether in Source or Object 41 | form, that is based on (or derived from) the Work and for which the 42 | editorial revisions, annotations, elaborations, or other modifications 43 | represent, as a whole, an original work of authorship. For the purposes 44 | of this License, Derivative Works shall not include works that remain 45 | separable from, or merely link (or bind by name) to the interfaces of, 46 | the Work and Derivative Works thereof. 47 | 48 | "Contribution" shall mean any work of authorship, including 49 | the original version of the Work and any modifications or additions 50 | to that Work or Derivative Works thereof, that is intentionally 51 | submitted to Licensor for inclusion in the Work by the copyright owner 52 | or by an individual or Legal Entity authorized to submit on behalf of 53 | the copyright owner. For the purposes of this definition, "submitted" 54 | means any form of electronic, verbal, or written communication sent 55 | to the Licensor or its representatives, including but not limited to 56 | communication on electronic mailing lists, source code control systems, 57 | and issue tracking systems that are managed by, or on behalf of, the 58 | Licensor for the purpose of discussing and improving the Work, but 59 | excluding communication that is conspicuously marked or otherwise 60 | designated in writing by the copyright owner as "Not a Contribution." 61 | 62 | "Contributor" shall mean Licensor and any individual or Legal Entity 63 | on behalf of whom a Contribution has been received by Licensor and 64 | subsequently incorporated within the Work. 65 | 66 | 2. Grant of Copyright License. Subject to the terms and conditions of 67 | this License, each Contributor hereby grants to You a perpetual, 68 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 69 | copyright license to reproduce, prepare Derivative Works of, 70 | publicly display, publicly perform, sublicense, and distribute the 71 | Work and such Derivative Works in Source or Object form. 72 | 73 | 3. Grant of Patent License. Subject to the terms and conditions of 74 | this License, each Contributor hereby grants to You a perpetual, 75 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 76 | (except as stated in this section) patent license to make, have made, 77 | use, offer to sell, sell, import, and otherwise transfer the Work, 78 | where such license applies only to those patent claims licensable 79 | by such Contributor that are necessarily infringed by their 80 | Contribution(s) alone or by combination of their Contribution(s) 81 | with the Work to which such Contribution(s) was submitted. If You 82 | institute patent litigation against any entity (including a 83 | cross-claim or counterclaim in a lawsuit) alleging that the Work 84 | or a Contribution incorporated within the Work constitutes direct 85 | or contributory patent infringement, then any patent licenses 86 | granted to You under this License for that Work shall terminate 87 | as of the date such litigation is filed. 88 | 89 | 4. Redistribution. You may reproduce and distribute copies of the 90 | Work or Derivative Works thereof in any medium, with or without 91 | modifications, and in Source or Object form, provided that You 92 | meet the following conditions: 93 | 94 | (a) You must give any other recipients of the Work or 95 | Derivative Works a copy of this License; and 96 | 97 | (b) You must cause any modified files to carry prominent notices 98 | stating that You changed the files; and 99 | 100 | (c) You must retain, in the Source form of any Derivative Works 101 | that You distribute, all copyright, patent, trademark, and 102 | attribution notices from the Source form of the Work, 103 | excluding those notices that do not pertain to any part of 104 | the Derivative Works; and 105 | 106 | (d) If the Work includes a "NOTICE" text file as part of its 107 | distribution, then any Derivative Works that You distribute must 108 | include a readable copy of the attribution notices contained 109 | within such NOTICE file, excluding those notices that do not 110 | pertain to any part of the Derivative Works, in at least one 111 | of the following places: within a NOTICE text file distributed 112 | as part of the Derivative Works; within the Source form or 113 | documentation, if provided along with the Derivative Works; or, 114 | within a display generated by the Derivative Works, if and 115 | wherever such third-party notices normally appear. The contents 116 | of the NOTICE file are for informational purposes only and 117 | do not modify the License. You may add Your own attribution 118 | notices within Derivative Works that You distribute, alongside 119 | or as an addendum to the NOTICE text from the Work, provided 120 | that such additional attribution notices cannot be construed 121 | as modifying the License. 122 | 123 | You may add Your own copyright statement to Your modifications and 124 | may provide additional or different license terms and conditions 125 | for use, reproduction, or distribution of Your modifications, or 126 | for any such Derivative Works as a whole, provided Your use, 127 | reproduction, and distribution of the Work otherwise complies with 128 | the conditions stated in this License. 129 | 130 | 5. Submission of Contributions. Unless You explicitly state otherwise, 131 | any Contribution intentionally submitted for inclusion in the Work 132 | by You to the Licensor shall be under the terms and conditions of 133 | this License, without any additional terms or conditions. 134 | Notwithstanding the above, nothing herein shall supersede or modify 135 | the terms of any separate license agreement you may have executed 136 | with Licensor regarding such Contributions. 137 | 138 | 6. Trademarks. This License does not grant permission to use the trade 139 | names, trademarks, service marks, or product names of the Licensor, 140 | except as required for reasonable and customary use in describing the 141 | origin of the Work and reproducing the content of the NOTICE file. 142 | 143 | 7. Disclaimer of Warranty. Unless required by applicable law or 144 | agreed to in writing, Licensor provides the Work (and each 145 | Contributor provides its Contributions) on an "AS IS" BASIS, 146 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or 147 | implied, including, without limitation, any warranties or conditions 148 | of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A 149 | PARTICULAR PURPOSE. You are solely responsible for determining the 150 | appropriateness of using or redistributing the Work and assume any 151 | risks associated with Your exercise of permissions under this License. 152 | 153 | 8. Limitation of Liability. In no event and under no legal theory, 154 | whether in tort (including negligence), contract, or otherwise, 155 | unless required by applicable law (such as deliberate and grossly 156 | negligent acts) or agreed to in writing, shall any Contributor be 157 | liable to You for damages, including any direct, indirect, special, 158 | incidental, or consequential damages of any character arising as a 159 | result of this License or out of the use or inability to use the 160 | Work (including but not limited to damages for loss of goodwill, 161 | work stoppage, computer failure or malfunction, or any and all 162 | other commercial damages or losses), even if such Contributor 163 | has been advised of the possibility of such damages. 164 | 165 | 9. Accepting Warranty or Additional Liability. While redistributing 166 | the Work or Derivative Works thereof, You may choose to offer, 167 | and charge a fee for, acceptance of support, warranty, indemnity, 168 | or other liability obligations and/or rights consistent with this 169 | License. However, in accepting such obligations, You may act only 170 | on Your own behalf and on Your sole responsibility, not on behalf 171 | of any other Contributor, and only if You agree to indemnify, 172 | defend, and hold each Contributor harmless for any liability 173 | incurred by, or claims asserted against, such Contributor by reason 174 | of your accepting any such warranty or additional liability. 175 | 176 | END OF TERMS AND CONDITIONS 177 | 178 | APPENDIX: How to apply the Apache License to your work. 179 | 180 | To apply the Apache License to your work, attach the following 181 | boilerplate notice, with the fields enclosed by brackets "[]" 182 | replaced with your own identifying information. (Don't include 183 | the brackets!) The text should be enclosed in the appropriate 184 | comment syntax for the file format. We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # octconv-pytorch 2 | Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049) 3 | -------------------------------------------------------------------------------- /octconv.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import torch 3 | import torch.nn as nn 4 | import torch.nn.functional as F 5 | 6 | 7 | class OctConv(nn.Module): 8 | def __init__(self, ch_in, ch_out, kernel_size, stride=1, alphas=(0.5, 0.5)): 9 | super(OctConv, self).__init__() 10 | self.alpha_in, self.alpha_out = alphas 11 | assert 0 <= self.alpha_in <= 1 and 0 <= self.alpha_in <= 1, "Alphas must be in interval [0, 1]" 12 | 13 | # CH IN 14 | self.ch_in_hf = int((1 - self.alpha_in) * ch_in) 15 | self.ch_in_lf = ch_in - self.ch_in_hf 16 | 17 | # CH OUT 18 | self.ch_out_hf = int((1 - self.alpha_out) * ch_out) 19 | self.ch_out_lf = ch_out - self.ch_out_hf 20 | 21 | # FILTERS 22 | self.wHtoH = nn.Parameter(torch.randn(self.ch_out_hf, self.ch_in_hf, kernel_size, kernel_size)) 23 | self.wHtoL = nn.Parameter(torch.randn(self.ch_out_lf, self.ch_in_hf, kernel_size, kernel_size)) 24 | self.wLtoH = nn.Parameter(torch.randn(self.ch_out_hf, self.ch_in_lf, kernel_size, kernel_size)) 25 | self.wLtoL = nn.Parameter(torch.randn(self.ch_out_lf, self.ch_in_lf, kernel_size, kernel_size)) 26 | 27 | # PADDING: (H - F + 2P)/S + 1 = 2 * [(0.5 H - F + 2P)/S +1] -> P = (F-S)/2 28 | self.padding = (kernel_size - stride) // 2 29 | 30 | def forward(self, input): 31 | # logic to handle input tensors: 32 | # if alpha_in = 0., we assume to be at the first layer, with only high freq repr 33 | if self.alpha_in == 0: 34 | hf_input = input 35 | lf_input = torch.Tensor([]).reshape(1, 0) 36 | else: 37 | fmap_size = input.shape[-1] 38 | hf_input = input[:, :self.ch_in_hf * 4, ...].reshape(-1, self.ch_in_hf, fmap_size * 2, fmap_size * 2) 39 | lf_input = input[:, self.ch_in_hf * 4:, ...] 40 | 41 | HtoH = HtoL = LtoL = LtoH = 0. 42 | if self.alpha_in < 1: 43 | # if alpha < 1 there is high freq component 44 | if self.ch_out_hf > 0: 45 | HtoH = F.conv2d(hf_input, self.wHtoH, padding=self.padding) 46 | if self.ch_out_lf > 0: 47 | HtoL = F.conv2d(F.avg_pool2d(hf_input, 2), self.wHtoL, padding=self.padding) 48 | if self.alpha_in > 0: 49 | # if alpha > 0 there is low freq component 50 | if self.ch_out_hf > 0: 51 | LtoH = F.interpolate(F.conv2d(lf_input, self.wLtoH, padding=self.padding), 52 | scale_factor=2, mode='nearest') 53 | if self.ch_out_lf > 0: 54 | LtoL = F.conv2d(lf_input, self.wLtoL, padding=self.padding) 55 | 56 | hf_output = HtoH + LtoH 57 | lf_output = LtoL + HtoL 58 | if 0 < self.alpha_out < 1: 59 | # if alpha in (0, 1) 60 | fmap_size = hf_output.shape[-1] // 2 61 | hf_output = hf_output.reshape(-1, 4 * self.ch_out_hf, fmap_size, fmap_size) 62 | output = torch.cat([hf_output, lf_output], dim=1) # cat over channel dim 63 | elif np.isclose(self.alpha_out, 1., atol=1e-8): 64 | # if only low req (alpha_out = 1.) 65 | output = lf_output 66 | elif np.isclose(self.alpha_out, 0., atol=1e-8): 67 | # if only high freq (alpha_out = 0.) 68 | output = hf_output 69 | return output 70 | 71 | 72 | oc = OctConv(ch_in=3, ch_out=3, kernel_size=3, alphas=(0., 0.5)) 73 | oc1 = OctConv(ch_in=3, ch_out=10, kernel_size=7, alphas=(0.5, 0.8)) 74 | oc2 = OctConv(ch_in=10, ch_out=1, kernel_size=3, alphas=(0.8, 0.)) 75 | out = oc2(oc1(oc(torch.randn(2, 3, 32, 32)))) 76 | print(out.shape) 77 | --------------------------------------------------------------------------------