core/ndstrides: add ScalarOrNDArray::to_ndarray and NDArrayObject::make_unsized
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@ -460,6 +460,22 @@ impl<'ctx> NDArrayObject<'ctx> {
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TupleObject::from_objects(generator, ctx, objects)
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}
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/// Create an unsized ndarray to contain `object`.
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pub fn make_unsized<G: CodeGenerator + ?Sized>(
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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object: AnyObject<'ctx>,
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) -> NDArrayObject<'ctx> {
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// We have to put the value on the stack to get a data pointer.
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let data = ctx.builder.build_alloca(object.value.get_type(), "make_unsized").unwrap();
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ctx.builder.build_store(data, object.value).unwrap();
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let data = Ptr(Int(Byte)).pointer_cast(generator, ctx, data);
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let ndarray = NDArrayObject::alloca(generator, ctx, object.ty, 0);
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ndarray.instance.set(ctx, |f| f.data, data);
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ndarray
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}
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}
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/// A convenience enum for implementing functions that acts on scalars or ndarrays or both.
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@ -500,4 +516,18 @@ impl<'ctx> ScalarOrNDArray<'ctx> {
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ScalarOrNDArray::NDArray(ndarray) => ndarray.instance.value.as_basic_value_enum(),
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}
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}
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/// Convert this [`ScalarOrNDArray`] to an ndarray - behaves like `np.asarray`.
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/// - If this is an ndarray, the ndarray is returned.
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/// - If this is a scalar, this function returns new ndarray created with [`NDArrayObject::make_unsized`].
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pub fn to_ndarray<G: CodeGenerator + ?Sized>(
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&self,
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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) -> NDArrayObject<'ctx> {
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match self {
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ScalarOrNDArray::NDArray(ndarray) => *ndarray,
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ScalarOrNDArray::Scalar(scalar) => NDArrayObject::make_unsized(generator, ctx, *scalar),
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}
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}
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}
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