mirror of https://github.com/Nonannet/copapy.git
Updated quaternion handling for usage with grad() function
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@ -1,3 +1,5 @@
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from copapy._quaternion import quaternion
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from . import value, vector, tensor
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import copapy.backend as cpb
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from typing import Any, Sequence, overload
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@ -12,8 +14,10 @@ def grad(x: Any, y: vector[Any]) -> vector[float]: ...
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@overload
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def grad(x: Any, y: tensor[Any]) -> tensor[float]: ...
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@overload
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def grad(x: Any, y: quaternion) -> quaternion: ...
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@overload
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def grad(x: Any, y: Sequence[value[Any]]) -> list[unifloat]: ...
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def grad(x: Any, y: value[Any] | Sequence[value[Any]] | vector[Any] | tensor[Any]) -> Any:
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def grad(x: Any, y: value[Any] | Sequence[value[Any]] | vector[Any] | tensor[Any] | quaternion) -> Any:
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"""Returns the partial derivative dx/dy where x needs to be a scalar
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and y might be a scalar, a list of scalars, a vector or matrix. It
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uses automatic differentiation in reverse-mode.
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@ -32,7 +36,7 @@ def grad(x: Any, y: value[Any] | Sequence[value[Any]] | vector[Any] | tensor[Any
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if isinstance(y, tensor):
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y_set = {v.get_scalar(0) for v in y.flatten()}
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else:
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assert isinstance(y, Sequence) or isinstance(y, vector)
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assert isinstance(y, Sequence) or isinstance(y, vector) or isinstance(y, quaternion)
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y_set = set(y)
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edges = cpb.get_all_dag_edges_between([x.net.source], (v.net.source for v in y_set if isinstance(v, value)))
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@ -125,6 +129,8 @@ def grad(x: Any, y: value[Any] | Sequence[value[Any]] | vector[Any] | tensor[Any
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return grad_dict[y.net]
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if isinstance(y, vector):
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return vector(grad_dict[yi.net] if isinstance(yi, value) else 0.0 for yi in y.values)
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if isinstance(y, quaternion):
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return quaternion(grad_dict[yi.net] if isinstance(yi, value) else 0.0 for yi in y.values)
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if isinstance(y, tensor):
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return tensor([grad_dict[yi.net] if isinstance(yi, value) else 0.0 for yi in y.values], y.shape)
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return [grad_dict[yi.net] for yi in y]
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@ -1,4 +1,4 @@
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from typing import overload, Iterable, Callable, Any
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from typing import overload, Iterable, Callable, Any, Iterator
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from ._vectors import vector
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from ._tensors import tensor
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import copapy as cp
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@ -208,6 +208,9 @@ class quaternion(ArrayType[float]):
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"""
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return quaternion(func(x) for x in self.values)
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def __iter__(self) -> Iterator[value[float] | float]:
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return iter(self.values)
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def __neg__(self) -> 'quaternion':
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return quaternion(-self.w, -self.x, -self.y, -self.z)
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