#!/usr/bin/env python import torch import numpy as np import module.plot as pl import module.sim as sim print('cudnn :', torch.backends.cudnn.version()) W = 300 H = 40 N = (W, W, H) wave = sim.wave(N, dx=5 / W, z_boundary=-1) mesh = pl.mesh(wave) pl.plot3d(mesh)
#!/usr/bin/env python import torch import numpy as np import module.plot as pl import module.sim as sim print('cudnn :', torch.backends.cudnn.version()) W = 1000 N = (W, W) wave = sim.wave(N, dx=5/W, cyclic_length=1, sigma=0.7) mesh = pl.mesh(wave) pl.plot3d(mesh)
#!/usr/bin/env python import torch import numpy as np import module.plot as pl import module.sim as sim print('cudnn :', torch.backends.cudnn.version()) W = 1000 N = (W, W) wave = sim.wave(N, dx=5 / W) mesh = pl.mesh(wave) pl.plot3d(mesh)
#!/usr/bin/env python import module.plot as pl import module.sim as sim wave = sim.wave() mesh = pl.mesh(wave) pl.plot3d(mesh)
#!/usr/bin/env python import torch import numpy as np import module.plot as pl import module.sim as sim print('cudnn :', torch.backends.cudnn.version()) W = 1000 N = (W, W) wave = sim.wave(N, dx=4 / W) mesh = pl.mesh(wave) pl.plot3d(mesh)