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core/ndstrides: implement unary op

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lyken 2024-08-21 10:08:30 +08:00
parent f5698a9eed
commit 5f143d2f2f
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1 changed files with 9 additions and 13 deletions
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22
nac3core/src/codegen/expr.rs
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@ -1770,14 +1770,12 @@ pub fn gen_unaryop_expr_with_values<'ctx, G: CodeGenerator>(
_ => val.into(),
}
} else if ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) {
let llvm_usize = generator.get_size_type(ctx.ctx);
let (ndarray_dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
let val = NDArrayValue::from_ptr_val(val.into_pointer_value(), llvm_usize, None);
let ndarray = AnyObject { value: val, ty };
let ndarray = NDArrayObject::from_object(generator, ctx, ndarray);
// ndarray uses `~` rather than `not` to perform elementwise inversion, convert it before
// passing it to the elementwise codegen function
let op = if ndarray_dtype.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::Bool.id()) {
let op = if ndarray.dtype.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::Bool.id()) {
if op == ast::Unaryop::Invert {
ast::Unaryop::Not
} else {
@ -1790,20 +1788,18 @@ pub fn gen_unaryop_expr_with_values<'ctx, G: CodeGenerator>(
op
};
let res = numpy::ndarray_elementwise_unaryop_impl(
let mapped_ndarray = ndarray.map(
generator,
ctx,
ndarray_dtype,
None,
val,
|generator, ctx, val| {
gen_unaryop_expr_with_values(generator, ctx, op, (&Some(ndarray_dtype), val))?
NDArrayOut::NewNDArray { dtype: ndarray.dtype },
|generator, ctx, scalar| {
gen_unaryop_expr_with_values(generator, ctx, op, (&Some(ndarray.dtype), scalar))?
.unwrap()
.to_basic_value_enum(ctx, generator, ndarray_dtype)
.to_basic_value_enum(ctx, generator, ndarray.dtype)
},
)?;
res.as_base_value().into()
ValueEnum::Dynamic(mapped_ndarray.instance.value.as_basic_value_enum())
} else {
unimplemented!()
}))