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Functions1,208 in github.com/AI4Science-WestlakeU/wdno

Methodceil
(self, x)
smoke/phi/math/scipy_backend.py:107
FunctioncheckResiduum
smoke/phi/solver/cuda/src/pressure_solve_op.cu.cc:50
Methodclear_domain
(self)
smoke/phi/tf/flow.py:106
Functioncom_downsample2x
(tensor, sum=True)
smoke/phi/experimental.py:77
Methodconcat
(self, values, axis)
smoke/phi/math/tensorflow_backend.py:26
Methodconcat
(self, values, axis)
smoke/phi/math/base.py:151
Methodconcat
(self, values, axis)
smoke/phi/math/scipy_backend.py:33
Methodconserve_mass
(self, target, source)
smoke/phi/flow.py:300
Functioncontained_batch_dimension
(dict)
smoke/phi/data/data.py:397
Methodcontrols
(self)
smoke/phi/model.py:176
Methodconv
(self, tensor, kernel, padding="SAME")
smoke/phi/math/tensorflow_backend.py:137
Methodconv
(self, tensor, kernel, padding="SAME")
smoke/phi/math/base.py:219
Methodconv
(self, tensor, kernel, padding="SAME")
smoke/phi/math/scipy_backend.py:131
Functionconv_pressure
(divergence)
smoke/phi/solver/conv.py:4
Functionconvert_image_to_fn
(img_type, image)
burgers/ddpm_burgers/model_utils.py:174
Functionconvert_image_to_fn
(img_type, image)
smoke/ddpm/diffusion_2d.py:61
Methodcopy_calling_script
(self)
smoke/phi/fluidformat.py:168
Methodcopy_calling_script
(self)
smoke/phi/control/control_scene.py:63
Functioncosine_beta_J_schedule
cosine schedule (returns beta = 1 - cos^2 (x / N), which is increasing.) as proposed in https://openreview.net/forum?id=-NEXDKk8gZ
burgers/ddpm_burgers/model_utils.py:90
Functioncosine_beta_schedule
cosine schedule as proposed in https://openreview.net/forum?id=-NEXDKk8gZ
smoke/ddpm/modules.py:172
Functioncosine_beta_schedule
cosine schedule as proposed in https://openreview.net/forum?id=-NEXDKk8gZ
smoke/ddpm/diffusion_2d.py:522
Methodcreate_frame
(self, index, step_count)
smoke/phi/control/iksm.py:92
Methodddim_sample
(self, shape, **kwargs)
burgers/ddpm_burgers/diffusion_1d.py:377
Methodddim_sample
(self, shape, N_upsample=0, design_fn=None, design_guidance="standard", init=None, init_u=None, control=None,
smoke/ddpm/diffusion_2d.py:852
Methoddepth_ticks
(n_intervals)
smoke/phi/viz/dash_gui.py:380
Methoddimensions
(self)
smoke/phi/flow.py:104
Methoddirectory
(self)
smoke/phi/model.py:115
Methoddot
(self, a, b, axes)
smoke/phi/math/tensorflow_backend.py:74
Methoddot
(self, a, b, axes)
smoke/phi/math/base.py:181
Methodeditable_bool
(self, name, initial_value)
smoke/phi/tf/model.py:52
Methodeditable_int
(self, name, initial_value, minmax=None)
smoke/phi/tf/model.py:44
Methodempty_figure
(self, library)
smoke/phi/viz/plot.py:215
Methoderror
(self, item)
smoke/ddpm/utils.py:208
Methodexecute
(self)
smoke/phi/control/sequences.py:48
Methodexecute_step
(self, initial_frame, target_frame)
smoke/phi/control/iksm.py:141
Methodexists_config
(self)
smoke/phi/fluidformat.py:120
Methodexp
(self, x)
smoke/phi/math/tensorflow_backend.py:134
Methodexp
(self, x)
smoke/phi/math/base.py:216
Methodexp
(self, x)
smoke/phi/math/scipy_backend.py:128
Functionexp2_same_side_128
(is_train_, fix_velocity_, Test_, branch_num, data_savepath)
smoke/dataset/a_gen_train.py:699
Functionexp2_same_side_128
(is_train_, fix_velocity_, Test_, branch_num, data_savepath)
smoke/dataset/a_gen_test_64.py:619
Methodexpand_dims
(self, a, axis)
smoke/phi/math/base.py:222
Methodexpand_dims
(self, a, axis)
smoke/phi/math/scipy_backend.py:147
Functionexplicit_pressure_multigrid
(divergence, level_control=False)
smoke/phi/solver/explicit.py:26
Methodextended_active_mask
(self)
smoke/phi/flow.py:142
Methodextended_fluid_mask
(self)
smoke/phi/flow.py:136
Functionextract
(a, t, x_shape)
smoke/ddpm/modules.py:167
Methodfid_score
(self, real_samples, fake_samples)
smoke/ddpm/diffusion_2d.py:1243
Methodfieldnames
(self)
smoke/phi/fluidformat.py:152
Methodfieldnames
(self)
smoke/phi/model.py:137
Methodfile
(self, name)
smoke/phi/control/control_scene.py:51
Methodfinalize_setup
(self, feed_fields, log_batch_retrieval=False, shuffle_training_data=True)
smoke/phi/tf/model.py:79
Functionfirst_index
(simpath, fieldname=None)
smoke/phi/fluidformat.py:74
Methodfloor
(self, x)
smoke/phi/math/base.py:198
Methodfloor
(self, x)
smoke/phi/math/scipy_backend.py:110
Functionforcenet2d_3x_16
(initial_density, initial_velocity, target_velocity, training=False, trainable=True, reuse=tf.AUTO_REUSE)
smoke/phi/control/nets/force/forcenets.py:6
Methodforward
(self, img, *args, **kwargs)
burgers/ddpm_burgers/diffusion_1d.py:647
Methodforward
(self, x, *args, **kwargs)
burgers/ddpm_burgers/unet.py:23
Methodforward
(self, x)
burgers/ddpm_burgers/unet.py:52
Methodforward
(self, x)
burgers/ddpm_burgers/unet.py:60
Methodforward
(self, x)
burgers/ddpm_burgers/unet.py:76
Methodforward
(self, x)
burgers/ddpm_burgers/unet.py:88
Methodforward
(self, x)
burgers/ddpm_burgers/unet.py:120
Methodforward
(self, x, scale_shift = None)
burgers/ddpm_burgers/unet.py:139
Methodforward
(self, x, time_emb = None)
burgers/ddpm_burgers/unet.py:167
Methodforward
(self, x)
burgers/ddpm_burgers/unet.py:203
Methodforward
(self, x)
burgers/ddpm_burgers/unet.py:240
Methodforward
(self, x, time, x_self_cond = None)
burgers/ddpm_burgers/unet.py:372
Methodforward
(self, x, time, x_self_cond = None)
burgers/ddpm_burgers/unet.py:510
Methodforward
(self, x)
smoke/ddpm/modules.py:20
Methodforward
(self, x)
smoke/ddpm/modules.py:34
Methodforward
(self, x)
smoke/ddpm/modules.py:42
Methodforward
(self, x)
smoke/ddpm/modules.py:61
Methodforward
(self, x, *args, **kwargs)
smoke/ddpm/modules.py:73
Methodforward
(self, x)
smoke/ddpm/modules.py:83
Methodforward
(self, x)
smoke/ddpm/modules.py:94
Methodforward
(self, x)
smoke/ddpm/modules.py:107
Methodforward
(self, x)
smoke/ddpm/modules.py:120
Methodforward
(self, x)
smoke/ddpm/modules.py:146
Methodforward
pred, targ : tensor [ batch_size x horizon x transition_dim ]
smoke/ddpm/modules.py:202
Methodforward
(self, x, *args, **kwargs)
smoke/ddpm/diffusion_2d.py:72
Methodforward
(self, x)
smoke/ddpm/diffusion_2d.py:92
Methodforward
(self, x)
smoke/ddpm/diffusion_2d.py:107
Methodforward
(self, x)
smoke/ddpm/diffusion_2d.py:119
Methodforward
(self, x)
smoke/ddpm/diffusion_2d.py:130
Methodforward
(self, x)
smoke/ddpm/diffusion_2d.py:149
Methodforward
(self, x, scale_shift = None)
smoke/ddpm/diffusion_2d.py:165
Methodforward
(self, x, time_emb = None)
smoke/ddpm/diffusion_2d.py:188
Methodforward
(self, x)
smoke/ddpm/diffusion_2d.py:215
Methodforward
(self, x)
smoke/ddpm/diffusion_2d.py:242
Methodforward
(self, x, time=None, x_self_cond = None)
smoke/ddpm/diffusion_2d.py:337
Methodforward
(self, x, time, x_self_cond = None)
smoke/ddpm/diffusion_2d.py:464
Methodforward
(self, state, *args, **kwargs)
smoke/ddpm/diffusion_2d.py:1052
Methodforward
(self, n, device)
smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:99
Methodforward
(self, x, *args, **kwargs)
smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:129
Methodforward
(self, x)
smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:137
Methodforward
(self, x)
smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:158
Methodforward
(self, x, **kwargs)
smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:169
Methodforward
(self, x, scale_shift = None)
smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:182
Methodforward
(self, x, time_emb = None)
smoke/video_diffusion_pytorch/video_diffusion_pytorch.py:204
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