qbhf2's picture
added NvidiaWarp and GarmentCode repos
66c9c8a
raw
history blame
6.21 kB
import inspect
from typing import Callable, Any
import warp as wp
from warp.fem.types import Domain, Field, Sample
from warp.fem import utils
class Integrand:
"""An integrand is a device function containing arbitrary expressions over Field and Domain variables.
It will get transformed to a proper warp.Function by resolving concrete Field types at call time.
"""
def __init__(self, func: Callable):
self.func = func
self.name = wp.codegen.make_full_qualified_name(self.func)
self.module = wp.get_module(self.func.__module__)
self.argspec = inspect.getfullargspec(self.func)
class Operator:
"""
Operators provide syntaxic sugar over Field and Domain evaluation functions and arguments
"""
def __init__(self, func: Callable, resolver: Callable):
self.func = func
self.resolver = resolver
def integrand(func: Callable):
"""Decorator for functions to be integrated (or interpolated) using warp.fem"""
itg = Integrand(func)
itg.__doc__ = func.__doc__
return itg
def operator(resolver: Callable):
"""Decorator for functions operating on Field-like or Domain-like data inside warp.fem integrands"""
def wrap_operator(func: Callable):
op = Operator(func, resolver)
op.__doc__ = func.__doc__
return op
return wrap_operator
# Domain operators
@operator(resolver=lambda dmn: dmn.element_position)
def position(domain: Domain, s: Sample):
"""Evaluates the world position of the sample point `s`"""
pass
@operator(resolver=lambda dmn: dmn.eval_normal)
def normal(domain: Domain, s: Sample):
"""Evaluates the element normal at the sample point `s`. Null for interior points."""
pass
@operator(resolver=lambda dmn: dmn.element_deformation_gradient)
def deformation_gradient(domain: Domain, s: Sample):
"""Evaluates the gradient of the domain position with respect to the element reference space at the sample point `s`"""
pass
@operator(resolver=lambda dmn: dmn.element_lookup)
def lookup(domain: Domain, x: Any) -> Sample:
"""Looks-up the sample point corresponding to a world position `x`, projecting to the closest point on the domain.
Arg:
x: world position of the point to look-up in the geometry
guess: (optional) :class:`Sample` initial guess, may help perform the query
Notes:
Currently this operator is only fully supported for :class:`Grid2D` and :class:`Grid3D` geometries.
For :class:`TriangleMesh2D` and :class:`Tetmesh` geometries, the operator requires providing `guess`.
"""
pass
@operator(resolver=lambda dmn: dmn.element_measure)
def measure(domain: Domain, s: Sample) -> float:
"""Returns the measure (volume, area, or length) determinant of an element at a sample point `s`"""
pass
@operator(resolver=lambda dmn: dmn.element_measure_ratio)
def measure_ratio(domain: Domain, s: Sample) -> float:
"""Returns the maximum ratio between the measure of this element and that of higher-dimensional neighbours."""
pass
# Field operators
# On a side, inner and outer are such that normal goes from inner to outer
@operator(resolver=lambda f: f.eval_inner)
def inner(f: Field, s: Sample):
"""Evaluates the field at a sample point `s`. On oriented sides, uses the inner element"""
pass
@operator(resolver=lambda f: f.eval_grad_inner)
def grad(f: Field, s: Sample):
"""Evaluates the field gradient at a sample point `s`. On oriented sides, uses the inner element"""
pass
@operator(resolver=lambda f: f.eval_div_inner)
def div(f: Field, s: Sample):
"""Evaluates the field divergence at a sample point `s`. On oriented sides, uses the inner element"""
pass
@operator(resolver=lambda f: f.eval_outer)
def outer(f: Field, s: Sample):
"""Evaluates the field at a sample point `s`. On oriented sides, uses the outer element. On interior points and on domain boundaries, this is equivalent to :func:`inner`."""
pass
@operator(resolver=lambda f: f.eval_grad_outer)
def grad_outer(f: Field, s: Sample):
"""Evaluates the field gradient at a sample point `s`. On oriented sides, uses the outer element. On interior points and on domain boundaries, this is equivalent to :func:`grad`."""
pass
@operator(resolver=lambda f: f.eval_grad_outer)
def div_outer(f: Field, s: Sample):
"""Evaluates the field divergence at a sample point `s`. On oriented sides, uses the outer element. On interior points and on domain boundaries, this is equivalent to :func:`div`."""
pass
@operator(resolver=lambda f: f.eval_degree)
def degree(f: Field):
"""Polynomial degree of a field"""
pass
@operator(resolver=lambda f: f.at_node)
def at_node(f: Field, s: Sample):
"""For a Test or Trial field, returns a copy of the Sample `s` moved to the coordinates of the node being evaluated"""
pass
# Common derived operators, for convenience
@integrand
def D(f: Field, s: Sample):
"""Symmetric part of the (inner) gradient of the field at `s`"""
return utils.symmetric_part(grad(f, s))
@integrand
def curl(f: Field, s: Sample):
"""Skew part of the (inner) gradient of the field at `s`, as a vector such that ``wp.cross(curl(u), v) = skew(grad(u)) v``"""
return utils.skew_part(grad(f, s))
@integrand
def jump(f: Field, s: Sample):
"""Jump between inner and outer element values on an interior side. Zero for interior points or domain boundaries"""
return inner(f, s) - outer(f, s)
@integrand
def average(f: Field, s: Sample):
"""Average between inner and outer element values"""
return 0.5 * (inner(f, s) + outer(f, s))
@integrand
def grad_jump(f: Field, s: Sample):
"""Jump between inner and outer element gradients on an interior side. Zero for interior points or domain boundaries"""
return grad(f, s) - grad_outer(f, s)
@integrand
def grad_average(f: Field, s: Sample):
"""Average between inner and outer element gradients"""
return 0.5 * (grad(f, s) + grad_outer(f, s))
# Set default call operators for argument types, so that field(s) = inner(field, s) and domain(s) = position(domain, s)
Field.call_operator = inner
Domain.call_operator = position