core/ndstrides: add more ScalarOrNDArray and NDArrayObject utils
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@ -25,7 +25,7 @@ use crate::{
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CodeGenContext, CodeGenerator,
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CodeGenContext, CodeGenerator,
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},
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},
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toplevel::{helper::extract_ndims, numpy::unpack_ndarray_var_tys},
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toplevel::{helper::extract_ndims, numpy::unpack_ndarray_var_tys},
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typecheck::typedef::Type,
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typecheck::typedef::{Type, TypeEnum},
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};
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};
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use super::{any::AnyObject, tuple::TupleObject};
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use super::{any::AnyObject, tuple::TupleObject};
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@ -482,6 +482,22 @@ impl<'ctx> NDArrayObject<'ctx> {
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TupleObject::from_objects(generator, ctx, objects)
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TupleObject::from_objects(generator, ctx, objects)
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}
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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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}
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/// A convenience enum for implementing functions that acts on scalars or ndarrays or both.
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/// A convenience enum for implementing functions that acts on scalars or ndarrays or both.
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@ -491,7 +507,50 @@ pub enum ScalarOrNDArray<'ctx> {
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NDArray(NDArrayObject<'ctx>),
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NDArray(NDArrayObject<'ctx>),
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}
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}
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impl<'ctx> TryFrom<&ScalarOrNDArray<'ctx>> for AnyObject<'ctx> {
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type Error = ();
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fn try_from(value: &ScalarOrNDArray<'ctx>) -> Result<Self, Self::Error> {
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match value {
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ScalarOrNDArray::Scalar(scalar) => Ok(*scalar),
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ScalarOrNDArray::NDArray(_ndarray) => Err(()),
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}
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}
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}
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impl<'ctx> TryFrom<&ScalarOrNDArray<'ctx>> for NDArrayObject<'ctx> {
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type Error = ();
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fn try_from(value: &ScalarOrNDArray<'ctx>) -> Result<Self, Self::Error> {
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match value {
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ScalarOrNDArray::Scalar(_scalar) => Err(()),
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ScalarOrNDArray::NDArray(ndarray) => Ok(*ndarray),
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}
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}
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}
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impl<'ctx> ScalarOrNDArray<'ctx> {
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impl<'ctx> ScalarOrNDArray<'ctx> {
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/// Split on `object` either into a scalar or an ndarray.
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///
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/// If `object` is an ndarray, [`ScalarOrNDArray::NDArray`].
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///
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/// For everything else, it is wrapped with [`ScalarOrNDArray::Scalar`].
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pub fn split_object<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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) -> ScalarOrNDArray<'ctx> {
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match &*ctx.unifier.get_ty(object.ty) {
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TypeEnum::TObj { obj_id, .. }
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if *obj_id == ctx.primitives.ndarray.obj_id(&ctx.unifier).unwrap() =>
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{
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let ndarray = NDArrayObject::from_object(generator, ctx, object);
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ScalarOrNDArray::NDArray(ndarray)
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}
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_ => ScalarOrNDArray::Scalar(object),
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}
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}
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/// Get the underlying [`BasicValueEnum<'ctx>`] of this [`ScalarOrNDArray`].
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/// Get the underlying [`BasicValueEnum<'ctx>`] of this [`ScalarOrNDArray`].
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#[must_use]
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#[must_use]
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pub fn to_basic_value_enum(self) -> BasicValueEnum<'ctx> {
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pub fn to_basic_value_enum(self) -> BasicValueEnum<'ctx> {
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@ -500,4 +559,27 @@ impl<'ctx> ScalarOrNDArray<'ctx> {
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ScalarOrNDArray::NDArray(ndarray) => ndarray.instance.value.as_basic_value_enum(),
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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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}
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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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/// Get the dtype of the ndarray created if this were called with [`ScalarOrNDArray::to_ndarray`].
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#[must_use]
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pub fn get_dtype(&self) -> Type {
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match self {
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ScalarOrNDArray::NDArray(ndarray) => ndarray.dtype,
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ScalarOrNDArray::Scalar(scalar) => scalar.ty,
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}
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}
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}
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}
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