warp.fem.FieldLike#

class warp.fem.FieldLike[source]#

Base class for integrable fields.

__init__()#

Methods

`__init__`()
`divergence_valid`()	Whether the divergence operator is implemented for this field.
`eval_arg_value`(device)	Value of the field-level arguments to be passed to device functions
`eval_degree`(args)	Polynomial degree of the field is applicable, or hint for determination of interpolation order
`eval_div_inner`(args, s)	Device function evaluating the inner field divergence at a sample point
`eval_div_outer`(args, s)	Device function evaluating the outer field divergence at a sample point
`eval_grad_inner`(args, s)	Device function evaluating the inner field gradient at a sample point
`eval_grad_outer`(args, s)	Device function evaluating the outer field gradient at a sample point
`eval_inner`(args, s)	Device function evaluating the inner field value at a sample point
`eval_outer`(args, s)	Device function evaluating the outer field value at a sample point
`fill_eval_arg`(arg, device)	Fill the field-level arguments to be passed to device functions
`gradient_valid`()	Whether the gradient operator is implemented for this field.
`notify_operator_usage`(ops)	Make the Domain aware that the operators `ops` will be applied.

Attributes

`degree`	Polynomial degree of the field, used to estimate necessary quadrature order
`name`	Unique name of the field instance.
`EvalArg`	Structure containing field-level arguments passed to device functions for field evaluation.
`ElementEvalArg`	Structure combining geometry-level and field-level arguments passed to device functions for field evaluation.

EvalArg: Struct#: Structure containing field-level arguments passed to device functions for field evaluation.

ElementEvalArg: Struct#: Structure combining geometry-level and field-level arguments passed to device functions for field evaluation.

eval_arg_value(device)[source]#

Value of the field-level arguments to be passed to device functions

Return type:: EvalArg

fill_eval_arg(arg, device)[source]#

Fill the field-level arguments to be passed to device functions

Parameters:: arg (FieldLike.EvalArg)

property degree: int[source]#: Polynomial degree of the field, used to estimate necessary quadrature order

property name: str[source]#: Unique name of the field instance.

gradient_valid()[source]#

Whether the gradient operator is implemented for this field.

Return type:: bool

divergence_valid()[source]#

Whether the divergence operator is implemented for this field.

Return type:: bool

static eval_inner(args, s)[source]#

Device function evaluating the inner field value at a sample point

Parameters:

args (ElementEvalArg)
s (Sample)

static eval_grad_inner(args, s)[source]#

Device function evaluating the inner field gradient at a sample point

Parameters:

args (ElementEvalArg)
s (Sample)

static eval_div_inner(args, s)[source]#

Device function evaluating the inner field divergence at a sample point

Parameters:

args (ElementEvalArg)
s (Sample)

static eval_outer(args, s)[source]#

Device function evaluating the outer field value at a sample point

Parameters:

args (ElementEvalArg)
s (Sample)

static eval_grad_outer(args, s)[source]#

Device function evaluating the outer field gradient at a sample point

Parameters:

args (ElementEvalArg)
s (Sample)

static eval_div_outer(args, s)[source]#

Device function evaluating the outer field divergence at a sample point

Parameters:

args (ElementEvalArg)
s (Sample)

static eval_degree(args)[source]#

Polynomial degree of the field is applicable, or hint for determination of interpolation order

Parameters:: args (ElementEvalArg)

notify_operator_usage(ops)[source]#

Make the Domain aware that the operators ops will be applied.

Parameters:: ops (set[Operator])