索引

A

advance() (mindflow.cfd.RunTime 方法)

C

compute_timestep() (mindflow.cfd.RunTime 方法)

create_dataset() (mindflow.data.Dataset 方法) (mindflow.data.MindDataset 方法)

G

get_columns_list() (mindflow.data.Dataset 方法) (mindflow.data.MindDataset 方法) get_loss() (mindflow.pde.FlowWithLoss 方法) (mindflow.pde.PDEWithLoss 方法) (mindflow.pde.SteadyFlowWithLoss 方法) (mindflow.pde.UnsteadyFlowWithLoss 方法)

I

integration_step() (mindflow.cfd.Simulator 方法)

M

mindflow.cell.FCSequential (內置类) mindflow.cell.FNO1D (內置类) mindflow.cell.FNO2D (內置类) mindflow.cell.get_activation() 內置函数 mindflow.cell.InputScale (內置类) mindflow.cell.LinearBlock (內置类) mindflow.cell.MultiScaleFCSequential (內置类) mindflow.cell.PDENet (內置类) mindflow.cell.ResBlock (內置类) mindflow.cell.ViT (內置类) mindflow.cfd.cal_con_var() 內置函数 mindflow.cfd.cal_pri_var() 內置函数 mindflow.cfd.RunTime (內置类) mindflow.cfd.Simulator (內置类) mindflow.cfd.vis_1d() 內置函数 mindflow.cfd.vis_2d() 內置函数 mindflow.common.get_multi_step_lr() 內置函数 mindflow.common.get_poly_lr() 內置函数 mindflow.common.get_warmup_cosine_annealing_lr() 內置函数 mindflow.data.BoundaryBC (內置类) mindflow.data.BoundaryIC (內置类) mindflow.data.Dataset (內置类) mindflow.data.Equation (內置类) mindflow.data.ExistedDataConfig (內置类) mindflow.data.ExistedDataset (內置类) mindflow.data.MindDataset (內置类) mindflow.geometry.Cone (內置类) mindflow.geometry.CSGDifference (內置类) mindflow.geometry.CSGIntersection (內置类)

mindflow.geometry.CSGUnion (內置类) mindflow.geometry.CSGXOR (內置类) mindflow.geometry.Cuboid (內置类) mindflow.geometry.Cylinder (內置类) mindflow.geometry.Disk (內置类) mindflow.geometry.FixedPoint (內置类) mindflow.geometry.generate_sampling_config() 內置函数 mindflow.geometry.Geometry (內置类) mindflow.geometry.GeometryWithTime (內置类) mindflow.geometry.HyperCube (內置类) mindflow.geometry.Interval (內置类) mindflow.geometry.PartSamplingConfig (內置类) mindflow.geometry.Pentagon (內置类) mindflow.geometry.Rectangle (內置类) mindflow.geometry.SamplingConfig (內置类) mindflow.geometry.Tetrahedron (內置类) mindflow.geometry.TimeDomain (內置类) mindflow.geometry.Triangle (內置类) mindflow.loss.get_loss_metric() 內置函数 mindflow.loss.MTLWeightedLoss (內置类) mindflow.loss.RelativeRMSELoss (內置类) mindflow.loss.WaveletTransformLoss (內置类) mindflow.operators.batched_hessian() 內置函数 mindflow.operators.batched_jacobian() 內置函数 mindflow.pde.Burgers (內置类) mindflow.pde.FlowWithLoss (內置类) mindflow.pde.NavierStokes (內置类) mindflow.pde.PDEWithLoss (內置类) mindflow.pde.Poisson (內置类) mindflow.pde.SteadyFlowWithLoss (內置类) mindflow.pde.sympy_to_mindspore() 內置函数 mindflow.pde.UnsteadyFlowWithLoss (內置类)

P

parse_node() (mindflow.pde.PDEWithLoss 方法) pde() (mindflow.pde.Burgers 方法) (mindflow.pde.NavierStokes 方法) (mindflow.pde.PDEWithLoss 方法) (mindflow.pde.Poisson 方法)

S

sampling() (mindflow.geometry.Disk 方法) (mindflow.geometry.FixedPoint 方法) (mindflow.geometry.GeometryWithTime 方法) (mindflow.geometry.HyperCube 方法) set_constraint_type() (mindflow.data.Dataset 方法) (mindflow.data.MindDataset 方法)

set_name() (mindflow.geometry.Geometry 方法) set_sampling_config() (mindflow.geometry.Geometry 方法) (mindflow.geometry.GeometryWithTime 方法) split_dataset() (mindflow.data.MindDataset 方法) step() (mindflow.pde.UnsteadyFlowWithLoss 方法)

T

time_loop() (mindflow.cfd.RunTime 方法)

內

內置函数 mindflow.cell.get_activation() mindflow.cfd.cal_con_var() mindflow.cfd.cal_pri_var() mindflow.cfd.vis_1d() mindflow.cfd.vis_2d() mindflow.common.get_multi_step_lr() mindflow.common.get_poly_lr() mindflow.common.get_warmup_cosine_annealing_lr() mindflow.geometry.generate_sampling_config() mindflow.loss.get_loss_metric() mindflow.operators.batched_hessian() mindflow.operators.batched_jacobian() mindflow.pde.sympy_to_mindspore()