├── .gitignore ├── ABQ_TXT2CAE_v1 ├── 1.png ├── 2.png ├── ABQ_TXT2CAE.pyc ├── ASHEN.png ├── Example │ ├── ASHEN.inp │ ├── ASHEN.png │ └── ASHEN.txt ├── aBQ_TXT2CAEDB.py ├── aBQ_TXT2CAEDB.pyc ├── aBQ_TXT2CAE_plugin.pyc └── icon.png ├── Figs ├── ASHEN.gif ├── Abstract.png ├── Dataset.png ├── ELSEVIER.gif ├── GenerationProcess.gif ├── LDPM.png ├── MicrostructureWall.png ├── RSV.png ├── Results.png ├── T2C.png ├── TXT2CAE.png ├── TopoFormer.png └── Workflow.png ├── GenerationProcess ├── 1 │ ├── 1 │ │ ├── 1.csv │ │ ├── 1.inp │ │ ├── 1_.png │ │ ├── MODEL1.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ ├── 10 │ │ ├── 10.csv │ │ ├── 10.inp │ │ ├── 10_.png │ │ ├── MODEL10.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ ├── 20 │ │ ├── 20.csv │ │ ├── 20.inp │ │ ├── 20_.png │ │ ├── MODEL20.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ ├── 30 │ │ ├── 30.csv │ │ ├── 30.inp │ │ ├── 30_.png │ │ ├── MODEL30.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ └── 100 │ │ ├── 100.csv │ │ ├── 100.inp │ │ ├── 100_.png │ │ ├── MODEL100.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt ├── 2 │ ├── 1 │ │ ├── 1.csv │ │ ├── 1.inp │ │ ├── 1_.png │ │ ├── MODEL1.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ ├── 10 │ │ ├── 10.csv │ │ ├── 10.inp │ │ ├── 10_.png │ │ ├── MODEL10.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ ├── 20 │ │ ├── 20.csv │ │ ├── 20.inp │ │ ├── 20_.png │ │ ├── MODEL20.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ ├── 30 │ │ ├── 30.csv │ │ ├── 30.inp │ │ ├── 30_.png │ │ ├── MODEL30.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt │ └── 100 │ │ ├── 100.csv │ │ ├── 100.inp │ │ ├── 100_.png │ │ ├── MODEL100.cae │ │ ├── element_size.txt │ │ ├── img.txt │ │ └── mises_stress_data.txt └── 3 │ ├── 1 │ ├── 1.csv │ ├── 1.inp │ ├── 1_.png │ ├── MODEL1.cae │ ├── element_size.txt │ ├── img.txt │ └── mises_stress_data.txt │ ├── 10 │ ├── 10.csv │ ├── 10.inp │ ├── 10_.png │ ├── MODEL10.cae │ ├── element_size.txt │ ├── img.txt │ └── mises_stress_data.txt │ ├── 20 │ ├── 20.csv │ ├── 20.inp │ ├── 20_.png │ ├── MODEL20.cae │ ├── element_size.txt │ ├── img.txt │ └── mises_stress_data.txt │ ├── 30 │ ├── 30.csv │ ├── 30.inp │ ├── 30_.png │ ├── MODEL30.cae │ ├── element_size.txt │ ├── img.txt │ └── mises_stress_data.txt │ └── 100 │ ├── 100.csv │ ├── 100.inp │ ├── 100_.png │ ├── MODEL100.cae │ ├── element_size.txt │ ├── img.txt │ └── mises_stress_data.txt ├── LICENSE ├── MultiDampGen ├── Dataset.py ├── Discriminator.py ├── MultiDampGen.py ├── UNet.py ├── VAE.py └── imgs.txt └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # UV 98 | # Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | #uv.lock 102 | 103 | # poetry 104 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 105 | # This is especially recommended for binary packages to ensure reproducibility, and is more 106 | # commonly ignored for libraries. 107 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 108 | #poetry.lock 109 | 110 | # pdm 111 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 112 | #pdm.lock 113 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 114 | # in version control. 115 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control 116 | .pdm.toml 117 | .pdm-python 118 | .pdm-build/ 119 | 120 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 121 | __pypackages__/ 122 | 123 | # Celery stuff 124 | celerybeat-schedule 125 | celerybeat.pid 126 | 127 | # SageMath parsed files 128 | *.sage.py 129 | 130 | # Environments 131 | .env 132 | .venv 133 | env/ 134 | venv/ 135 | ENV/ 136 | env.bak/ 137 | venv.bak/ 138 | 139 | # Spyder project settings 140 | .spyderproject 141 | .spyproject 142 | 143 | # Rope project settings 144 | .ropeproject 145 | 146 | # mkdocs documentation 147 | /site 148 | 149 | # mypy 150 | .mypy_cache/ 151 | .dmypy.json 152 | dmypy.json 153 | 154 | # Pyre type checker 155 | .pyre/ 156 | 157 | # pytype static type analyzer 158 | .pytype/ 159 | 160 | # Cython debug symbols 161 | cython_debug/ 162 | 163 | # PyCharm 164 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 165 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 166 | # and can be added to the global gitignore or merged into this file. For a more nuclear 167 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 168 | #.idea/ 169 | 170 | # Ruff stuff: 171 | .ruff_cache/ 172 | 173 | # PyPI configuration file 174 | .pypirc 175 | -------------------------------------------------------------------------------- /ABQ_TXT2CAE_v1/1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/ABQ_TXT2CAE_v1/1.png -------------------------------------------------------------------------------- /ABQ_TXT2CAE_v1/2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/ABQ_TXT2CAE_v1/2.png -------------------------------------------------------------------------------- /ABQ_TXT2CAE_v1/ABQ_TXT2CAE.pyc: 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-------------------------------------------------------------------------------- 1 | # Do not edit this file or it may not load correctly 2 | # if you try to open it with the RSG Dialog Builder. 3 | 4 | # Note: thisDir is defined by the Activator class when 5 | # this file gets exec'd 6 | 7 | from rsg.rsgGui import * 8 | from abaqusConstants import INTEGER, FLOAT 9 | dialogBox = RsgDialog(title='TXT2CAE | Developed by Ashen', kernelModule='ABQ_TXT2CAE', kernelFunction='func', includeApplyBtn=False, includeSeparator=True, okBtnText='OK', applyBtnText='Apply', execDir=thisDir) 10 | RsgTabBook(name='TabBook_1', p='DialogBox', layout='0') 11 | RsgTabItem(name='TabItem_1', p='TabBook_1', text='T2C') 12 | RsgLabel(p='TabItem_1', text='Github: https://github.com/AshenOneme', useBoldFont=True) 13 | RsgSeparator(p='TabItem_1') 14 | RsgIcon(p='TabItem_1', fileName=r'1.png') 15 | RsgSeparator(p='TabItem_1') 16 | RsgLabel(p='TabItem_1', text='File Definition', useBoldFont=True) 17 | RsgFileTextField(p='TabItem_1', ncols=12, labelText='File Path:', keyword='dir', default='ASHEN.txt', patterns='All files (*)') 18 | RsgHorizontalFrame(name='HFrame_11', p='TabItem_1', layout='0', pl=0, pr=0, pt=0, pb=0) 19 | RsgTextField(p='HFrame_11', fieldType='String', ncols=12, labelText='Inp Name:', keyword='inp_name', default='1') 20 | RsgTextField(p='HFrame_11', fieldType='String', ncols=12, labelText='Model Name:', keyword='model_name', default='MODEL1') 21 | RsgHorizontalFrame(name='HFrame_12', p='TabItem_1', layout='0', pl=0, pr=0, pt=0, pb=0) 22 | RsgTextField(p='HFrame_12', fieldType='String', ncols=12, labelText='Part Name:', keyword='part_name', default='PART1') 23 | RsgTextField(p='HFrame_12', fieldType='String', ncols=12, labelText='Assembly Name:', keyword='assembly_name', default='ASSEMBLY1') 24 | RsgSeparator(p='TabItem_1') 25 | RsgLabel(p='TabItem_1', text='Pixel Size', useBoldFont=True) 26 | RsgHorizontalFrame(name='HFrame_13', p='TabItem_1', layout='0', pl=0, pr=0, pt=0, pb=0) 27 | RsgTextField(p='HFrame_13', fieldType='Float', ncols=12, labelText='X [mm, Float]:', keyword='element_sizex', default='1.0') 28 | RsgTextField(p='HFrame_13', fieldType='Float', ncols=12, labelText='Y [mm, Float]:', keyword='element_sizey', default='1.0') 29 | RsgSeparator(p='TabItem_1') 30 | RsgLabel(p='TabItem_1', text='Num Repeats', useBoldFont=True) 31 | RsgHorizontalFrame(name='HFrame_14', p='TabItem_1', layout='0', pl=0, pr=0, pt=0, pb=0) 32 | RsgTextField(p='HFrame_14', fieldType='Integer', ncols=12, labelText='X [num, Int]:', keyword='num_repeats_y', default='1') 33 | RsgTextField(p='HFrame_14', fieldType='Integer', ncols=12, labelText='Y [num, Int]:', keyword='num_repeats_x', default='1') 34 | RsgSeparator(p='TabItem_1') 35 | RsgLabel(p='TabItem_1', text='Thickness Control', useBoldFont=True) 36 | RsgVerticalFrame(name='VFrame_4', p='TabItem_1', layout='0', pl=0, pr=0, pt=0, pb=0) 37 | RsgTextField(p='VFrame_4', fieldType='Float', ncols=12, labelText='Thickness [mm, Float]:', keyword='thickness', default='10') 38 | RsgTextField(p='VFrame_4', fieldType='Integer', ncols=12, labelText='Thickness Layers [num, Int]:', keyword='thickness_layers', default='1') 39 | RsgSeparator(p='TabItem_1') 40 | RsgHorizontalFrame(name='HFrame_15', p='TabItem_1', layout='0', pl=0, pr=0, pt=0, pb=0) 41 | RsgGroupBox(name='GroupBox_2', p='HFrame_15', text='Displacement Control', layout='0') 42 | RsgHorizontalFrame(name='HFrame_16', p='GroupBox_2', layout='0', pl=0, pr=0, pt=0, pb=0) 43 | RsgCheckButton(p='HFrame_16', text='X Direction:', keyword='dispx_opinion', default=True) 44 | RsgCheckButton(p='HFrame_16', text='Y Direction:', keyword='dispy_opinion', default=False) 45 | RsgTextField(p='GroupBox_2', fieldType='Float', ncols=12, labelText='Displacement [mm]:', keyword='disp', default='1.0') 46 | RsgGroupBox(name='GroupBox_3', p='HFrame_15', text='Mesh', layout='0') 47 | RsgCheckButton(p='GroupBox_3', text='Merge Edges', keyword='seed_opinion', default=True) 48 | RsgTextField(p='GroupBox_3', fieldType='Float', ncols=12, labelText='Seed Enlargement:', keyword='seed', default='2.0') 49 | RsgTabItem(name='TabItem_3', p='TabBook_1', text='Example') 50 | RsgVerticalAligner(name='VAligner_1', p='TabItem_3', pl=0, pr=0, pt=0, pb=0) 51 | RsgLabel(p='TabItem_3', text='E-mail: tyzhangnjtu@gmail.com', useBoldFont=True) 52 | RsgIcon(p='TabItem_3', fileName=r'2.png') 53 | dialogBox.show() -------------------------------------------------------------------------------- /ABQ_TXT2CAE_v1/aBQ_TXT2CAEDB.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/ABQ_TXT2CAE_v1/aBQ_TXT2CAEDB.pyc -------------------------------------------------------------------------------- /ABQ_TXT2CAE_v1/aBQ_TXT2CAE_plugin.pyc: -------------------------------------------------------------------------------- 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23,2.25,89972.29 12 | 24,2.5,90126.14 13 | 25,2.75,90270.3 14 | 26,3.0,90407.29 15 | 27,3.25,90535.72 16 | 28,3.5,90650.84 17 | 29,3.75,90759.09 18 | 30,4.0,90861.914 19 | 36,3.75,39751.5 20 | 38,3.5,-9687.895 21 | 41,3.25,-51688.47 22 | 46,3.0,-73664.43 23 | 48,2.75,-80328.64 24 | 49,2.5,-84858.95 25 | 50,2.25,-86451.516 26 | 51,2.0,-86956.29 27 | 52,1.75,-87327.39 28 | 53,1.5,-87639.09 29 | 54,1.25,-87908.42 30 | 55,1.0,-88146.28 31 | 56,0.75,-88363.45 32 | 57,0.5,-88564.71 33 | 58,0.25,-88751.29 34 | 59,0.0,-88923.914 35 | 60,-0.25,-89084.375 36 | 61,-0.5,-89234.42 37 | 62,-0.75,-89375.836 38 | 63,-1.0,-89509.42 39 | 64,-1.25,-89637.164 40 | 65,-1.5,-89760.22 41 | 66,-1.75,-89879.02 42 | 67,-2.0,-89993.3 43 | 68,-2.25,-90102.98 44 | 69,-2.5,-90209.16 45 | 70,-2.75,-90312.57 46 | 71,-3.0,-90411.695 47 | 72,-3.25,-90500.25 48 | 73,-3.5,-90583.57 49 | 74,-3.75,-90662.766 50 | 75,-4.0,-90739.016 51 | 81,-3.75,-39875.906 52 | 83,-3.5,9515.917 53 | 86,-3.25,51938.438 54 | 91,-3.0,73196.66 55 | 93,-2.75,80210.13 56 | 96,-2.5,85073.445 57 | 98,-2.25,86393.14 58 | 100,-2.0,86849.24 59 | 101,-1.75,87187.02 60 | 102,-1.5,87479.164 61 | 103,-1.25,87742.414 62 | 104,-1.0,87983.31 63 | 105,-0.75,88206.98 64 | 106,-0.5,88417.04 65 | 107,-0.25,88615.41 66 | 108,0.0,88802.92 67 | -------------------------------------------------------------------------------- /GenerationProcess/1/1/1.inp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/GenerationProcess/1/1/1.inp -------------------------------------------------------------------------------- /GenerationProcess/1/1/1_.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/GenerationProcess/1/1/1_.png 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18,2.5,18578.197 13 | 19,2.75,18613.352 14 | 20,3.0,18647.525 15 | 21,3.25,18680.936 16 | 22,3.5,18712.404 17 | 23,3.75,18742.201 18 | 24,4.0,18771.252 19 | 30,3.75,3007.896 20 | 34,3.5,-10597.047 21 | 37,3.25,-15849.004 22 | 39,3.0,-16980.566 23 | 40,2.75,-17431.473 24 | 43,2.5,-17655.963 25 | 45,2.25,-17780.404 26 | 46,2.0,-17867.803 27 | 47,1.75,-17940.09 28 | 48,1.5,-18002.246 29 | 49,1.25,-18057.25 30 | 50,1.0,-18108.46 31 | 51,0.75,-18157.01 32 | 52,0.5,-18203.125 33 | 53,0.25,-18247.27 34 | 54,0.0,-18290.086 35 | 55,-0.25,-18328.059 36 | 56,-0.5,-18363.88 37 | 57,-0.75,-18398.559 38 | 58,-1.0,-18432.275 39 | 59,-1.25,-18465.209 40 | 60,-1.5,-18497.686 41 | 61,-1.75,-18529.791 42 | 62,-2.0,-18561.469 43 | 63,-2.25,-18592.656 44 | 64,-2.5,-18623.154 45 | 65,-2.75,-18652.094 46 | 66,-3.0,-18679.986 47 | 67,-3.25,-18707.24 48 | 68,-3.5,-18733.957 49 | 69,-3.75,-18760.102 50 | 70,-4.0,-18785.64 51 | 76,-3.75,-2984.5115 52 | 78,-3.5,10553.908 53 | 81,-3.25,15905.094 54 | 83,-3.0,16943.951 55 | 84,-2.75,17355.996 56 | 85,-2.5,17583.254 57 | 86,-2.25,17721.404 58 | 87,-2.0,17819.354 59 | 88,-1.75,17898.814 60 | 89,-1.5,17968.639 61 | 90,-1.25,18031.086 62 | 91,-1.0,18087.074 63 | 92,-0.75,18137.586 64 | 93,-0.5,18183.912 65 | 94,-0.25,18226.691 66 | 95,0.0,18267.004 67 | -------------------------------------------------------------------------------- /GenerationProcess/3/30/30.inp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/GenerationProcess/3/30/30.inp -------------------------------------------------------------------------------- /GenerationProcess/3/30/30_.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/GenerationProcess/3/30/30_.png -------------------------------------------------------------------------------- /GenerationProcess/3/30/MODEL30.cae: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AshenOneme/MultiDampGen/2f132e99e764938765109a42e21f8e0254186f61/GenerationProcess/3/30/MODEL30.cae -------------------------------------------------------------------------------- /GenerationProcess/3/30/element_size.txt: -------------------------------------------------------------------------------- 1 | [1.04844987392426, 1.04844987392426] -------------------------------------------------------------------------------- /MultiDampGen/Dataset.py: -------------------------------------------------------------------------------- 1 | import torch 2 | import torch.nn as nn 3 | from torch.utils.data import Dataset 4 | import h5py 5 | import pandas as pd 6 | import numpy as np 7 | import matplotlib.pyplot as plt 8 | import torch.nn.functional as F 9 | from tqdm.auto import tqdm 10 | device=torch.device("cuda" if torch.cuda.is_available() else "cpu") 11 | 12 | class DiffusionDataset(Dataset): 13 | def __init__(self,file): 14 | self.file_object=h5py.File(file,"r") 15 | self.feature=self.file_object.get('feature') 16 | self.label=self.file_object.get('label') 17 | self.size=self.file_object.get('size') 18 | pass 19 | def __len__(self): 20 | return len(self.feature) 21 | def __getitem__(self, index): 22 | if (index >= len(self.feature)): 23 | raise IndexError() 24 | feature = np.array(self.feature[index],dtype=np.float32) 25 | label = np.array(self.label[index],dtype=np.float32) 26 | size=np.array(self.size[index],dtype=np.float32) 27 | feature=torch.Tensor(feature).type(torch.float32).unsqueeze(0) 28 | mask=torch.Tensor(label).type(torch.float32) 29 | scale=torch.Tensor(size).type(torch.float32).unsqueeze(0) 30 | return (feature,mask,scale) 31 | def plot_image(self,index): 32 | fig,(ax)=plt.subplots(nrows=1,ncols=1) 33 | ax.imshow(np.array(self.feature[index]),cmap='bone') 34 | plt.show() 35 | pass 36 | pass 37 | 38 | if __name__=='__main__': 39 | diffusiondataset = DiffusionDataset("Dataset_Train.h5") 40 | index=1 41 | print(diffusiondataset[index][0].shape,diffusiondataset[index][1].shape,diffusiondataset[index][2].shape) 42 | print(diffusiondataset[index][2]) 43 | print(diffusiondataset[index][1]) 44 | diffusiondataset.plot_image(index) -------------------------------------------------------------------------------- /MultiDampGen/Discriminator.py: -------------------------------------------------------------------------------- 1 | import torch 2 | import torch.nn as nn 3 | from torch.nn import functional as F 4 | 5 | class CommonBlock(nn.Module): 6 | def __init__(self, in_channel, out_channel): 7 | super(CommonBlock, self).__init__() 8 | self.conv1 = nn.Conv2d(in_channel, out_channel, kernel_size=3, stride=1, padding=1, bias=False) 9 | self.bn1 = nn.BatchNorm2d(out_channel) 10 | self.conv2 = nn.Conv2d(out_channel, out_channel, kernel_size=3, stride=1, padding=1, bias=False) 11 | self.bn2 = nn.BatchNorm2d(out_channel) 12 | 13 | def forward(self, x): 14 | identity = x 15 | x = F.relu(self.bn1(self.conv1(x)), inplace=True) 16 | x = self.bn2(self.conv2(x)) 17 | x += identity 18 | return F.gelu(x) 19 | 20 | class SpecialBlock(nn.Module): 21 | def __init__(self, in_channel, out_channel): 22 | super(SpecialBlock, self).__init__() 23 | self.change_channel = nn.Sequential( 24 | nn.Conv2d(in_channel, out_channel, kernel_size=1, stride=1, padding=0, bias=False), 25 | nn.BatchNorm2d(out_channel) 26 | ) 27 | self.conv1 = nn.Conv2d(in_channel, out_channel, kernel_size=3, stride=1, padding=1, bias=False) 28 | self.bn1 = nn.BatchNorm2d(out_channel) 29 | self.conv2 = nn.Conv2d(out_channel, out_channel, kernel_size=3, stride=1, padding=1, bias=False) 30 | self.bn2 = nn.BatchNorm2d(out_channel) 31 | 32 | def forward(self, x): 33 | identity = self.change_channel(x) 34 | x = F.gelu(self.bn1(self.conv1(x))) 35 | x = self.bn2(self.conv2(x)) 36 | x += identity 37 | return F.gelu(x) 38 | 39 | class Discriminator(nn.Module): 40 | def __init__(self, classes_num): 41 | super(Discriminator, self).__init__() 42 | self.prepare = nn.Sequential( 43 | nn.Conv2d(4, 64, 7, 1, 3), 44 | nn.BatchNorm2d(64), 45 | nn.GELU(), 46 | nn.MaxPool2d(3, 1, 1) 47 | ) 48 | self.layer1 = nn.Sequential( 49 | CommonBlock(64, 64), 50 | CommonBlock(64, 64) 51 | ) 52 | self.layer2 = nn.Sequential( 53 | SpecialBlock(64, 128), 54 | CommonBlock(128, 128) 55 | ) 56 | self.layer3 = nn.Sequential( 57 | SpecialBlock(128, 256), 58 | CommonBlock(256, 256) 59 | ) 60 | self.layer4 = nn.Sequential( 61 | SpecialBlock(256, 512), 62 | CommonBlock(512, 512) 63 | ) 64 | self.pool = nn.AdaptiveAvgPool2d(output_size=(1, 1)) 65 | self.fc = nn.Sequential( 66 | nn.Dropout(p=0.5), 67 | nn.Linear(512, 256), 68 | nn.GELU(), 69 | nn.Dropout(p=0.5), 70 | nn.Linear(256, classes_num) 71 | ) 72 | 73 | def forward(self, x): 74 | x = self.prepare(x) 75 | x = self.layer1(x) 76 | x = self.layer2(x) 77 | x = self.layer3(x) 78 | x = self.layer4(x) 79 | x = self.pool(x) 80 | x = x.reshape(x.shape[0], -1) 81 | x = self.fc(x) 82 | return x 83 | 84 | if __name__ == "__main__": 85 | model = Discriminator(classes_num=64) 86 | sample_input = torch.randn(128, 4, 32, 32) 87 | output = model(sample_input) 88 | print(f'Output shape: {output.shape}') 89 | -------------------------------------------------------------------------------- /MultiDampGen/MultiDampGen.py: -------------------------------------------------------------------------------- 1 | import torch 2 | import torchvision 3 | from torch import nn 4 | import torch.nn.functional as F 5 | from torch.utils.data import DataLoader 6 | from diffusers import DDPMScheduler,DDIMScheduler,PNDMScheduler 7 | import matplotlib.pyplot as plt 8 | from tqdm.auto import tqdm 9 | import numpy as np 10 | from torch.utils.data import Dataset 11 | import h5py 12 | from Dataset import DiffusionDataset 13 | import random 14 | import os 15 | import sys 16 | 17 | def seed_torch(seed=42): 18 | random.seed(seed) 19 | os.environ['PYTHONHASHSEED'] = str(seed) 20 | np.random.seed(seed) 21 | torch.manual_seed(seed) 22 | torch.cuda.manual_seed(seed) 23 | torch.cuda.manual_seed_all(seed) 24 | torch.backends.cudnn.benchmark = False 25 | torch.backends.cudnn.deterministic = True 26 | 27 | seed_torch() 28 | 29 | filepath='../Dataset/Test' 30 | diffusiondataset = DiffusionDataset(filepath+"/Dataset_Test.h5") 31 | device=torch.device('cuda' if torch.cuda.is_available() else 'cpu') 32 | 33 | noise_scheduler=DDIMScheduler(beta_schedule='squaredcos_cap_v2') 34 | 35 | total_steps=100 36 | noise_scheduler.set_timesteps(total_steps) 37 | 38 | LDPM = torch.load(r'LDPM.pt', weights_only=False) 39 | LDPM=LDPM.to(device) 40 | LDPM.eval() 41 | 42 | TopoFormer=torch.load(r'TopoFormer.pt', weights_only=False) 43 | TopoFormer=TopoFormer.to(device) 44 | TopoFormer.eval() 45 | 46 | RSV= torch.load(r'RSV.pt', weights_only=False) 47 | RSV=RSV.to(device) 48 | RSV.eval() 49 | 50 | index=4012 51 | x,y,z=diffusiondataset[index] 52 | 53 | np.savetxt(f'./curve.txt',y) 54 | np.savetxt(f'./scale.txt',z) 55 | 56 | Y=y[1:,1].to(device).unsqueeze(0)/1000 57 | Z=z.unsqueeze(0) 58 | Z_expand = z.unsqueeze(0).unsqueeze(2).unsqueeze(3).expand(-1, -1, 32, 32).to(device) 59 | 60 | diff_out=np.zeros((total_steps,3,32,32)) 61 | vae_out=np.zeros((total_steps,1,128,128)) 62 | 63 | while True: 64 | sample = torch.randn(1, 3, 32, 32).to(device) 65 | for i, t in enumerate(noise_scheduler.timesteps): 66 | t_=torch.Tensor([t]).to(device) 67 | model_input = noise_scheduler.scale_model_input(sample, t) 68 | with torch.no_grad(): 69 | noise_pred = LDPM(sample, t_, Y.to(device),Z.to(device)) 70 | scheduler_output = noise_scheduler.step(noise_pred, t, sample) 71 | sample = scheduler_output.prev_sample 72 | pred_x0 = scheduler_output.pred_original_sample 73 | pred_x0_eachstep= pred_x0.detach().cpu().numpy() 74 | diff_out[i,:,:,:]=pred_x0_eachstep 75 | pics_rec=TopoFormer.decoder(pred_x0) 76 | x1=pics_rec[0, :, :, :].detach().cpu().numpy().clip(0, 1) 77 | x1[x1<=0.5]=0 78 | x1[x1>0.5]=1 79 | vae_out[i,:,:,:]=x1 80 | 81 | inputs_discriminator = torch.cat((pred_x0, Z_expand), dim=1) 82 | loop = RSV(inputs_discriminator) 83 | prediction = loop[0].detach().cpu().numpy()[1:] 84 | observation = Y[0].cpu().numpy() 85 | error = np.mean(np.abs((prediction - observation) / observation)) * 100 86 | print(f'MAPE:{round(error,3)}%') 87 | if error < 10: 88 | np.savetxt(f'./imgs.txt', x1[0], fmt='%d') 89 | np.save(file=f"./diff_out.npy", arr=diff_out) 90 | np.save(file=f"./vae_out.npy", arr=vae_out) 91 | break -------------------------------------------------------------------------------- /MultiDampGen/UNet.py: -------------------------------------------------------------------------------- 1 | import math 2 | import torch 3 | from torch import nn 4 | from torch.nn import functional as F 5 | 6 | class Swish(nn.Module): 7 | def forward(self, x): 8 | return x * torch.sigmoid(x) 9 | 10 | class UNet_ResidualBlock(nn.Module): 11 | def __init__(self, in_channels, out_channels, d_time=128, d_cond=128, d_cond2=128): 12 | super().__init__() 13 | self.gn_feat = nn.GroupNorm(32, in_channels) 14 | self.cv_feat = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1) 15 | self.lin_time = nn.Linear(d_time, out_channels) 16 | self.lin_cond = nn.Linear(d_cond, out_channels) 17 | self.lin_cond2 = nn.Linear(d_cond2, out_channels) 18 | self.gn_merged = nn.GroupNorm(32, out_channels) 19 | self.cv_merged = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1) 20 | if in_channels == out_channels: 21 | self.residual_layer = nn.Identity() 22 | else: 23 | self.residual_layer = nn.Conv2d(in_channels, out_channels, kernel_size=1, padding=0) 24 | 25 | def forward(self, feat, t, cond,cond2): 26 | # feat: (B, C_in, H, W), t: (B, d_time), cond: (B, d_cond) 27 | residual_ = feat 28 | feat = F.silu(self.gn_feat(feat)) 29 | feat = F.silu(self.cv_feat(feat)) # (B, C_out, H, W) 30 | feat += self.lin_time(F.silu(t))[:, :, None, None] # Add time embedding 31 | feat += self.lin_cond(F.silu(cond))[:, :, None, None] # Add condition embedding 32 | feat += self.lin_cond(F.silu(cond2))[:, :, None, None] # Add condition embedding 33 | feat = self.cv_merged(F.silu(self.gn_merged(feat))) # (B, C_out, H, W) 34 | return feat + self.residual_layer(residual_) 35 | 36 | class UNet_AttentionBlock(nn.Module): 37 | def __init__(self, n_channels: int, n_heads: int, n_dims: int = None, n_groups: int = 32, d_time: int = 128, d_cond: int = 128,d_cond2: int=128): 38 | super().__init__() 39 | if n_dims is None: 40 | n_dims = n_channels 41 | self.gn = nn.GroupNorm(n_groups, n_channels) 42 | self.proj = nn.Linear(n_channels, n_dims * 3) 43 | self.output = nn.Linear(n_dims, n_channels) 44 | self.scale = n_dims ** -0.5 45 | self.n_heads = n_heads 46 | self.n_dims = n_dims 47 | 48 | # Time and Condition embeddings 49 | self.lin_time = nn.Linear(d_time, n_channels) 50 | self.lin_cond = nn.Linear(d_cond, n_channels) 51 | self.lin_cond2 = nn.Linear(d_cond2, n_channels) 52 | 53 | def forward(self, x: torch.Tensor, t: torch.Tensor, cond: torch.Tensor,cond2: torch.Tensor): 54 | b, c, h, w = x.shape 55 | x = self.gn(x) # Apply GroupNorm first 56 | 57 | # Add time and condition embeddings 58 | time_embed = self.lin_time(F.silu(t))[:, :, None, None] # (B, C, 1, 1) 59 | cond_embed = self.lin_cond(F.silu(cond))[:, :, None, None] # (B, C, 1, 1) 60 | cond2_embed=self.lin_cond2(F.silu(cond2))[:, :, None, None] # (B, C, 1, 1) 61 | x = x + time_embed + cond_embed + cond2_embed 62 | 63 | # Flatten spatial dimensions 64 | x = x.view(b, c, h * w).permute(0, 2, 1) # (B, C, H*W) -> (B, H*W, C) 65 | 66 | # Compute Q, K, V 67 | q, k, v = self.proj(x).view(b, h * w, self.n_heads, -1).chunk(3, dim=-1) 68 | 69 | # Compute scaled dot-product attention 70 | att = torch.einsum('blhd, bmhd -> blmh', q, k) * self.scale 71 | att = torch.softmax(att, dim=-2) 72 | x_ = torch.einsum('blmh, bmhd -> blhd', att, v) 73 | 74 | # Combine heads and project back to original dimensions 75 | x_ = self.output(x_.reshape(b, h * w, -1)) + x # Use reshape instead of view 76 | return x_.permute(0, 2, 1).view(b, c, h, w) 77 | 78 | class SwitchSequential(nn.Sequential): 79 | def forward(self, x, t, cond,cond2): 80 | for layer in self: 81 | if isinstance(layer, UNet_AttentionBlock) or isinstance(layer, UNet_ResidualBlock): 82 | x = layer(x, t, cond,cond2) 83 | else: 84 | x = layer(x) 85 | return x 86 | 87 | class TimeEmbedding(nn.Module): 88 | def __init__(self, n_channels: int = 64): 89 | super().__init__() 90 | self.n_channels = n_channels 91 | self.lin1 = nn.Linear(self.n_channels, self.n_channels) 92 | self.act = Swish() 93 | self.lin2 = nn.Linear(self.n_channels, self.n_channels) 94 | 95 | def forward(self, t: torch.Tensor): 96 | half_dim = self.n_channels // 2 97 | emb = math.log(10000) / (half_dim - 1) 98 | emb = torch.exp(torch.arange(half_dim, device=t.device) * -emb) 99 | emb = t[:, None] * emb[None, :] 100 | emb = torch.cat((emb.sin(), emb.cos()), dim=1) 101 | return self.lin2(self.act(self.lin1(emb))) 102 | 103 | #=================================================================================================================== 104 | class ClassConditionedUnet_M(nn.Module): 105 | def __init__(self, in_channels:int=1,out_channels:int=1,cond_dim: int = 128, cond_dim2: int=1): 106 | super().__init__() 107 | self.encoder = nn.ModuleList([ 108 | SwitchSequential(nn.Conv2d(in_channels, 64, kernel_size=3, padding=1)), 109 | SwitchSequential(UNet_ResidualBlock(64, 64),UNet_ResidualBlock(64, 64), UNet_AttentionBlock(64, 8, 40), UNet_AttentionBlock(64, 8, 40)), 110 | SwitchSequential(UNet_ResidualBlock(64, 64),UNet_ResidualBlock(64, 64), UNet_AttentionBlock(64, 8, 40), UNet_AttentionBlock(64, 8, 40)), 111 | SwitchSequential(nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1)), 112 | SwitchSequential(UNet_ResidualBlock(128, 128), UNet_ResidualBlock(128, 128), UNet_AttentionBlock(128, 8, 80), UNet_AttentionBlock(128, 8, 80)), 113 | SwitchSequential(UNet_ResidualBlock(128, 128),UNet_ResidualBlock(128, 128), UNet_AttentionBlock(128, 8, 80), UNet_AttentionBlock(128, 8, 80)), 114 | SwitchSequential(nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1)), 115 | SwitchSequential(UNet_ResidualBlock(256, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)), 116 | SwitchSequential(UNet_ResidualBlock(256, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)), 117 | SwitchSequential(nn.Conv2d(256, 256, kernel_size=3, padding=1)), 118 | SwitchSequential(UNet_ResidualBlock(256, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)), 119 | SwitchSequential(UNet_ResidualBlock(256, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)) 120 | ]) 121 | self.bottleneck = SwitchSequential( 122 | UNet_ResidualBlock(256, 256), 123 | UNet_ResidualBlock(256, 256), 124 | UNet_AttentionBlock(256, 8, 120), 125 | UNet_AttentionBlock(256, 8, 120), 126 | ) 127 | self.decoder = nn.ModuleList([ 128 | SwitchSequential(UNet_ResidualBlock(512, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)), 129 | SwitchSequential(UNet_ResidualBlock(512, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)), 130 | SwitchSequential(nn.ConvTranspose2d(512, 256, kernel_size=3, padding=1)), 131 | SwitchSequential(UNet_ResidualBlock(512, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)), 132 | SwitchSequential(UNet_ResidualBlock(512, 256),UNet_ResidualBlock(256, 256), UNet_AttentionBlock(256, 8, 120), UNet_AttentionBlock(256, 8, 120)), 133 | SwitchSequential(nn.ConvTranspose2d(512, 256, 4, 2, 1)), 134 | SwitchSequential(UNet_ResidualBlock(384, 128),UNet_ResidualBlock(128, 128), UNet_AttentionBlock(128, 8, 80), UNet_AttentionBlock(128, 8, 80)), 135 | SwitchSequential(UNet_ResidualBlock(256, 128),UNet_ResidualBlock(128, 128), UNet_AttentionBlock(128, 8, 80), UNet_AttentionBlock(128, 8, 80)), 136 | SwitchSequential(nn.ConvTranspose2d(256, 128, 3, 2, 1)), 137 | SwitchSequential(UNet_ResidualBlock(192, 64),UNet_ResidualBlock(64, 64), UNet_AttentionBlock(64, 8, 40), UNet_AttentionBlock(64, 8, 40)), 138 | SwitchSequential(UNet_ResidualBlock(128, 64),UNet_ResidualBlock(64, 64), UNet_AttentionBlock(64, 8, 40), UNet_AttentionBlock(64, 8, 40)), 139 | SwitchSequential(nn.ConvTranspose2d(128, out_channels, 3, padding=1)) 140 | ]) 141 | self.time_emb = TimeEmbedding(n_channels=128) 142 | self.cond_emb = nn.Linear(cond_dim, 128) 143 | self.cond_emb2= nn.Linear(cond_dim2, 128) 144 | 145 | def forward(self, x, t, cond,cond2): 146 | t = self.time_emb(t) 147 | cond = self.cond_emb(cond) 148 | cond2= self.cond_emb2(cond2) 149 | skip_cont = [] 150 | for layer in self.encoder: 151 | x = layer(x, t, cond,cond2) 152 | skip_cont.append(x) 153 | x = self.bottleneck(x, t, cond,cond2) 154 | for layer in self.decoder: 155 | skip = skip_cont.pop() 156 | # Use interpolation to align feature sizes 157 | if x.shape[2:] != skip.shape[2:]: 158 | x = F.interpolate(x, size=skip.shape[2:], mode="nearest") 159 | x = torch.cat([x, skip], dim=1) 160 | x = layer(x, t, cond,cond2) 161 | return x 162 | #=================================================================================================================== 163 | if __name__ == "__main__": 164 | model = ClassConditionedUnet_M(in_channels=1,out_channels=1,cond_dim=128,cond_dim2=1) 165 | x = torch.randn(8, 1, 28, 28) 166 | t = torch.randn(8) 167 | cond = torch.randn(8, 128) 168 | cond2= torch.randn(8, 1) 169 | output = model(x, t, cond,cond2) 170 | print(output.shape) -------------------------------------------------------------------------------- /MultiDampGen/VAE.py: -------------------------------------------------------------------------------- 1 | import math 2 | import torch 3 | from torch import nn 4 | from torch.nn import functional as F 5 | 6 | class SelfAttention(nn.Module): 7 | def __init__(self, n_heads: torch.tensor, d_embed: torch.tensor): 8 | super().__init__() 9 | self.in_proj= nn.Linear(d_embed, 3* d_embed, bias= True) 10 | self.out_proj= nn.Linear(d_embed, d_embed) 11 | self.d_embed= d_embed 12 | self.n_heads= n_heads 13 | def forward(self, x: torch.tensor, causal_mask=False)-> torch.tensor: 14 | b, l, d= x.shape 15 | # x, (batch_size, len, dim)>> (batch_size, len, 3* dim)>> (batch_size, len, head, dim// head* 3) 16 | x_proj= self.in_proj(x).view(b, l, self.n_heads, -1) 17 | # q, k or v, (batch_size, len, head, dim// head) 18 | q, k, v= x_proj.chunk(3, dim= -1) 19 | # att, (batch_size, len, len, head) 20 | att= torch.einsum('blhd, bmhd->blmh', q, k)/ math.sqrt(self.d_embed// self.n_heads) 21 | # mask 22 | if causal_mask: 23 | mask= torch.ones_like(att, dtype=torch.bool).triu(1) 24 | att.masked_fill_(mask, -torch.inf) 25 | att= torch.softmax(att, dim= 2) 26 | opt= torch.einsum('blmh, blhd-> blhd', att, v).view(b, l, d) 27 | return self.out_proj(opt) 28 | 29 | class CrossAttention(nn.Module): 30 | def __init__(self, n_heads: torch.tensor, d_embed: torch.tensor, d_cross: torch.tensor): 31 | super().__init__() 32 | self.q_proj= nn.Linear(d_embed, d_embed, bias= True) 33 | self.kv_proj= nn.Linear(d_cross, 2* d_embed, bias= True) 34 | self.out_proj= nn.Linear(d_embed, d_embed, bias= True) 35 | self.n_heads= n_heads 36 | self.d_embed= d_embed 37 | def forward(self, x: torch.tensor, y: torch.tensor)-> torch.tensor: 38 | b, l, d= x.shape 39 | # x, (batch_size, seq_len, d_embed)-> (b, l, h, d//h), y, (batch_size, seq_len, d_cross) 40 | q= self.q_proj(x).view(b, l, self.n_heads, -1) 41 | # y, (batch_size, seq_len, 2* d_embed)-> (b, l, h, 2* d// h)-> k, v, (b, l, h, d// h) 42 | k, v= self.kv_proj(y).view(b, y.shape[1], self.n_heads, -1).chunk(2, dim= -1) 43 | att= torch.softmax(torch.einsum('blhd, bmhd-> blmh', q, k)/ (self.d_embed// self.n_heads)** 0.5, dim= 2) 44 | return self.out_proj(torch.einsum('blmh, bmhd-> blhd', att, v).reshape(b, l, d)) 45 | 46 | class VAE_AttentionBlock(nn.Module): 47 | def __init__(self, channels): 48 | super().__init__() 49 | self.groupnorm = nn.GroupNorm(32, channels) 50 | self.attention = SelfAttention(1, channels) 51 | def forward(self, x): 52 | # x: (Batch_Size, Features, Height, Width) 53 | residue= x 54 | x= self.groupnorm(x) 55 | n, c, h, w= x.shape 56 | x= x.view((n, c, h * w)) 57 | # (Batch_Size, Features, Height * Width) -> (Batch_Size, Height * Width, Features). Each pixel becomes a feature of size "Features", the sequence length is "Height * Width". 58 | x= x.transpose(-1, -2) 59 | x= self.attention(x) 60 | x= x.transpose(-1, -2) 61 | # (Batch_Size, Features, Height * Width) -> (Batch_Size, Features, Height, Width) 62 | x= x.view((n, c, h, w)) 63 | # (Batch_Size, Features, Height, Width) 64 | return x+ residue 65 | 66 | class VAE_ResidualBlock(nn.Module): 67 | def __init__(self, in_channels, out_channels): 68 | super().__init__() 69 | self.groupnorm_1= nn.GroupNorm(32, in_channels) 70 | self.conv_1= nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1) 71 | self.groupnorm_2= nn.GroupNorm(32, out_channels) 72 | self.conv_2= nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1) 73 | if in_channels == out_channels: 74 | self.residual_layer = nn.Identity() 75 | else: 76 | self.residual_layer = nn.Conv2d(in_channels, out_channels, kernel_size=1, padding=0) 77 | def forward(self, x): 78 | # x: (Batch_Size, In_Channels, Height, Width) 79 | residue= x 80 | # (Batch_Size, In_Channels, Height, Width) -> (Batch_Size, In_Channels, Height, Width) 81 | x= self.groupnorm_1(x) 82 | # (Batch_Size, In_Channels, Height, Width) -> (Batch_Size, In_Channels, Height, Width) 83 | x= F.silu(x) 84 | # (Batch_Size, In_Channels, Height, Width) -> (Batch_Size, Out_Channels, Height, Width) 85 | x= self.conv_1(x) 86 | # (Batch_Size, Out_Channels, Height, Width) -> (Batch_Size, Out_Channels, Height, Width) 87 | x= self.groupnorm_2(x) 88 | # (Batch_Size, Out_Channels, Height, Width) -> (Batch_Size, Out_Channels, Height, Width) 89 | x= F.silu(x) 90 | # (Batch_Size, Out_Channels, Height, Width) -> (Batch_Size, Out_Channels, Height, Width) 91 | x= self.conv_2(x) 92 | # (Batch_Size, Out_Channels, Height, Width) -> (Batch_Size, Out_Channels, Height, Width) 93 | return x+ self.residual_layer(residue) 94 | 95 | #=================================================================================================================== 96 | class VAE_Encoder_M(nn.Sequential): 97 | def __init__(self, device,in_channels,z_channels): 98 | super().__init__() 99 | self.encoder = nn.ModuleList([ 100 | # Batch_size, B; Channel, C; Height, H; Weight, W. 101 | # (B, 1, H, W)-> (B, 64, H, W) 102 | nn.Conv2d(in_channels, 64, kernel_size= 3, padding= 1), 103 | VAE_ResidualBlock(64, 64), 104 | # (B, 64, H, W)-> (B, 128, H/ 2, W/ 2) 105 | nn.Conv2d(64, 128, kernel_size= 3, stride= 2), 106 | VAE_ResidualBlock(128, 128), 107 | # (B, 128, H/ 2, W/ 2)-> (B, 256, H/ 4, W/ 4) 108 | nn.Conv2d(128, 256, kernel_size= 3, stride= 2), 109 | VAE_AttentionBlock(256), 110 | VAE_ResidualBlock(256, 256), 111 | nn.GroupNorm(32, 256), 112 | nn.SiLU(), 113 | nn.Conv2d(256, 64, kernel_size= 3, padding= 1), 114 | # output, (B, 8, H/ 4, W/ 4) 115 | nn.Conv2d(64, z_channels*2, kernel_size= 1, padding= 0) 116 | ]) 117 | self.norm_dist= torch.distributions.Normal(0, 1) 118 | self.device= device 119 | def forward(self, x): 120 | # transform x into latent code. 121 | # x, (B, 1, H, W)-> (B, 8, H/ 4, W/ 4) 122 | for module in self.encoder: 123 | # confirm H/ 2 124 | if getattr(module, 'stride', None)== (2, 2): 125 | x= F.pad(x, (0, 1, 0, 1)) 126 | x= module(x) 127 | # mean, (B, 4, H/ 4, W/ 4); log_var, (B, 4, H/ 4, W/ 4) 128 | mean, log_var= torch.chunk(x, 2, dim= 1) 129 | var_= torch.clamp(log_var, -30, 20).exp() 130 | stdev= var_** 0.5 131 | z= self.norm_dist.sample(mean.shape).to(self.device)* stdev+ mean 132 | z = torch.tanh(z) 133 | return mean, stdev, z 134 | 135 | class VAE_Decoder_M(nn.Sequential): 136 | def __init__(self,out_channels,z_channels): 137 | super().__init__() 138 | self.decoder = nn.ModuleList([ 139 | # (B, 4, H/ 4, W/ 4)-> (B, 256, H/ 4, W/ 4) 140 | nn.Conv2d(z_channels, 64, kernel_size= 1, padding= 0), 141 | nn.Conv2d(64, 256, kernel_size= 3, padding= 1), 142 | VAE_AttentionBlock(256), 143 | VAE_ResidualBlock(256, 256), 144 | # (B, 256, H/ 4, W/ 4)-> (B, 256, H/ 2, W/ 2) 145 | nn.Upsample(scale_factor= 2), 146 | # (B, 256, H/ 2, W/ 2)-> (B, 128, H/ 2, W/ 2) 147 | nn.Conv2d(256, 128, kernel_size= 3, padding= 1), 148 | VAE_ResidualBlock(128, 128), 149 | # (B, 128, H/ 2, W/ 2)-> (B, 128, H, W) 150 | nn.Upsample(scale_factor= 2), 151 | nn.Conv2d(128, 128, kernel_size= 3, padding= 1), 152 | VAE_ResidualBlock(128, 128), 153 | nn.GroupNorm(32, 128), 154 | nn.SiLU(), 155 | nn.Conv2d(128, out_channels, kernel_size= 3, padding= 1), 156 | nn.Sigmoid() 157 | ]) 158 | def forward(self, x): 159 | for module in self.decoder: 160 | x= module(x) 161 | return x 162 | 163 | class VAE_M(nn.Module): 164 | def __init__(self, device,z_channels): 165 | super().__init__() 166 | self.device= device 167 | self.encoder= VAE_Encoder_M(device=device,in_channels=1,z_channels=z_channels).to(device) 168 | self.decoder= VAE_Decoder_M(out_channels=1,z_channels=z_channels).to(device) 169 | def loss_fuc(self, pred, label, mu, sga, balance_factor= 0.05, eps= 1e-10): 170 | recon_loss = F.binary_cross_entropy(pred, label,reduction='mean') 171 | return recon_loss+ balance_factor* (sga** 2+ mu** 2- torch.log(sga+ eps)- 0.5).mean() 172 | def forward(self, x): 173 | mu, sga, z= self.encoder(x) 174 | return mu, sga, self.decoder(z) 175 | #=================================================================================================================== 176 | if __name__ == "__main__": 177 | device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') 178 | model = VAE_M(device=device,z_channels=3) 179 | x = torch.randn(8, 1, 128, 128).to(device) 180 | mu, sga, decoderz = model(x) 181 | print(mu.shape, sga.shape, decoderz.shape) -------------------------------------------------------------------------------- /MultiDampGen/imgs.txt: -------------------------------------------------------------------------------- 1 | 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 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