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# Software Name: NEML2 -- the New Engineering material Model Library, version 2
# By: Argonne National Laboratory
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"""Vec — 3-vector in Cartesian coordinates.
Base shape ``(3,)``. Mirrors ``include/neml2/tensors/Vec.h``. Used for
displacement / traction triples, position vectors, and any other Cartesian
3-vector quantity that isn't a Rodrigues rotation (``Rot``), a skew axial
vector (``WR2``), or a Miller-index triple (``MillerIndex``) — the storage
shape is identical to those three but the type tag keeps cross-type operator
dispatch unambiguous.
Arithmetic operators and ``zeros``/``ones``/``full``/``empty``/``fill``
factories are inherited from :class:`PrimitiveTensor`. Math-bearing
operations (norm, dot, cross, rotation, etc.) live in :mod:`functions`.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import ClassVar
import torch
from neml2.types._primitive import PrimitiveTensor
from neml2.types._pytree import register
[docs]
@dataclass(frozen=True, eq=False)
class Vec(PrimitiveTensor):
"""Wraps a `torch.Tensor` of shape ``(..., 3)``."""
data: torch.Tensor
sub_batch_ndim: int = 0
sub_batch_state: tuple = ()
sub_batch_meta: tuple = ()
k_ndim: int = 0
k_state: tuple = ()
k_pairing: tuple = ()
BASE_NDIM: ClassVar[int] = 1
BASE_SHAPE: ClassVar[tuple[int, ...]] = (3,)
register(Vec)