core: WIP - float and bool works now

David Mak 2024-04-25 22:46:54 +08:00
parent c2041e8d34
commit dcbba2fb26
4 changed files with 110 additions and 21 deletions

View File

@ -373,15 +373,17 @@ pub fn call_uint64<'ctx, G: CodeGenerator + ?Sized>(
}
/// Invokes the `float` builtin function.
pub fn call_float<'ctx>(
pub fn call_float<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
n: (Type, BasicValueEnum<'ctx>),
) -> FloatValue<'ctx> {
) -> Result<BasicValueEnum<'ctx>, String> {
let llvm_f64 = ctx.ctx.f64_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let (n_ty, n) = n;
match n.get_type() {
Ok(match n.get_type() {
BasicTypeEnum::IntType(int_ty) if matches!(int_ty.get_bit_width(), 1 | 8 | 32 | 64) => {
debug_assert!([
ctx.primitives.bool,
@ -398,22 +400,49 @@ pub fn call_float<'ctx>(
].iter().any(|ty| ctx.unifier.unioned(n_ty, *ty)) {
ctx.builder
.build_signed_int_to_float(n.into_int_value(), llvm_f64, "sitofp")
.map(Into::into)
.unwrap()
} else {
ctx.builder
.build_unsigned_int_to_float(n.into_int_value(), llvm_f64, "uitofp")
.unwrap()
.map(Into::into)
.unwrap()
}
}
BasicTypeEnum::FloatType(_) => {
debug_assert!(ctx.unifier.unioned(n_ty, ctx.primitives.float));
n.into_float_value()
n
}
BasicTypeEnum::PointerType(_) if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PRIMITIVE_DEF_IDS.ndarray) => {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.float,
None,
NDArrayValue::from_ptr_val(
n.into_pointer_value(),
llvm_usize,
None,
),
|generator, ctx, val| {
call_float(
generator,
ctx,
(elem_ty, val),
)
},
)?;
ndarray.as_ptr_value().into()
}
_ => unsupported_type(ctx, "float", &[n_ty])
}
})
}
/// Invokes the `round` builtin function.
@ -451,19 +480,22 @@ pub fn call_numpy_round<'ctx>(
}
/// Invokes the `bool` builtin function.
pub fn call_bool<'ctx>(
pub fn call_bool<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
n: (Type, BasicValueEnum<'ctx>),
) -> IntValue<'ctx> {
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "bool";
let llvm_usize = generator.get_size_type(ctx.ctx);
let (n_ty, n) = n;
match n.get_type() {
Ok(match n.get_type() {
BasicTypeEnum::IntType(int_ty) if matches!(int_ty.get_bit_width(), 1 | 8) => {
debug_assert!(ctx.unifier.unioned(n_ty, ctx.primitives.bool));
n.into_int_value()
n
}
BasicTypeEnum::IntType(_) => {
@ -477,6 +509,7 @@ pub fn call_bool<'ctx>(
let val = n.into_int_value();
ctx.builder
.build_int_compare(IntPredicate::NE, val, val.get_type().const_zero(), FN_NAME)
.map(Into::into)
.unwrap()
}
@ -486,11 +519,39 @@ pub fn call_bool<'ctx>(
let val = n.into_float_value();
ctx.builder
.build_float_compare(FloatPredicate::UNE, val, val.get_type().const_zero(), FN_NAME)
.map(Into::into)
.unwrap()
}
BasicTypeEnum::PointerType(_) if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PRIMITIVE_DEF_IDS.ndarray) => {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.bool,
None,
NDArrayValue::from_ptr_val(
n.into_pointer_value(),
llvm_usize,
None,
),
|generator, ctx, val| {
let elem = call_bool(
generator,
ctx,
(elem_ty, val),
)?;
Ok(generator.bool_to_i8(ctx, elem.into_int_value()).into())
},
)?;
ndarray.as_ptr_value().into()
}
_ => unsupported_type(ctx, FN_NAME, &[n_ty])
}
})
}
/// Invokes the `floor` builtin function.

View File

@ -655,8 +655,8 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
name: "float".into(),
simple_name: "float".into(),
signature: primitives.1.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg { name: "n".into(), ty: num_ty.0, default_value: None }],
ret: float,
args: vec![FuncArg { name: "n".into(), ty: num_or_ndarray_ty.0, default_value: None }],
ret: num_or_ndarray_ty.0,
vars: var_map.clone(),
})),
var_id: Vec::default(),
@ -668,7 +668,7 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_float(ctx, (arg_ty, arg)).into()))
Ok(Some(builtin_fns::call_float(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,
@ -960,8 +960,8 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
name: "bool".into(),
simple_name: "bool".into(),
signature: primitives.1.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg { name: "n".into(), ty: num_ty.0, default_value: None }],
ret: primitives.0.bool,
args: vec![FuncArg { name: "n".into(), ty: num_or_ndarray_ty.0, default_value: None }],
ret: num_or_ndarray_ty.0,
vars: var_map.clone(),
})),
var_id: Vec::default(),
@ -973,7 +973,7 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_bool(ctx, (arg_ty, arg)).into()))
Ok(Some(builtin_fns::call_bool(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,

View File

@ -851,8 +851,18 @@ impl<'a> Inferencer<'a> {
}))
}
if id == &"int32".into() && args.len() == 1 {
let int32_ty = self.primitives.int32;
if [
"int32",
"float",
"bool",
].iter().any(|fun_id| id == &(*fun_id).into()) && args.len() == 1 {
let target_ty = if id == &"int32".into() {
self.primitives.int32
} else if id == &"float".into() {
self.primitives.float
} else if id == &"bool".into() {
self.primitives.bool
} else { unreachable!() };
let arg0 = self.fold_expr(args.remove(0))?;
let arg0_ty = arg0.custom.unwrap();
@ -860,9 +870,9 @@ impl<'a> Inferencer<'a> {
let ret = if arg0_ty.obj_id(self.unifier).is_some_and(|id| id == PRIMITIVE_DEF_IDS.ndarray) {
let (_, ndarray_ndims) = unpack_ndarray_var_tys(self.unifier, arg0_ty);
make_ndarray_ty(self.unifier, self.primitives, Some(int32_ty), Some(ndarray_ndims))
make_ndarray_ty(self.unifier, self.primitives, Some(target_ty), Some(ndarray_ndims))
} else {
int32_ty
target_ty
};
let custom = self.unifier.add_ty(TypeEnum::TFunc(FunSignature {

View File

@ -704,6 +704,22 @@ def test_ndarray_uint64():
output_ndarray_float_2(x)
output_ndarray_uint64_2(y)
# TODO: builtin function float() cannot cast ndarrays - numpy.float_ needed
# def test_ndarray_float():
# x = np_full([2, 2], 1)
# y = float(x)
#
# output_ndarray_int32_2(x)
# output_ndarray_float_2(y)
# TODO: builtin function bool() cannot cast ndarrays - numpy.bool_ needed
# def test_ndarray_bool():
# x = np_identity(2)
# y = bool(x)
#
# output_ndarray_float_2(x)
# output_ndarray_bool_2(y)
def run() -> int32:
test_ndarray_ctor()
test_ndarray_empty()
@ -798,5 +814,7 @@ def run() -> int32:
test_ndarray_int64()
test_ndarray_uint32()
test_ndarray_uint64()
# test_ndarray_float()
# test_ndarray_bool()
return 0