1use core::{marker::PhantomData, ops::Not};
2use cubecl_ir::{Bitwise, ConstantValue, ElemType, Instruction, Type, UIntKind, UnaryOperator};
3use cubecl_macros::{cube, intrinsic};
4use num_traits::{NumCast, One, ToPrimitive, Zero};
5
6use crate::{
7 self as cubecl,
8 prelude::{
9 ArcTan2, InverseSqrt, IsInf, IsNan, Powf, Powi, SaturatingAdd, SaturatingSub, Trunc,
10 },
11};
12use crate::{prelude::*, unexpanded};
13
14use super::Vector;
15type VectorExpand<E, N> = NativeExpand<Vector<E, N>>;
16
17impl<P, N: Size> core::ops::Add<Self> for Vector<P, N>
18where
19 P: Scalar,
20 P: core::ops::Add<P, Output = P>,
21{
22 type Output = Self;
23
24 fn add(self, rhs: Self) -> Self::Output {
25 Self::new(self.val + rhs.val)
26 }
27}
28
29impl<P, N: Size> core::ops::Sub<Self> for Vector<P, N>
30where
31 P: Scalar,
32 P: core::ops::Sub<P, Output = P>,
33{
34 type Output = Self;
35
36 fn sub(self, rhs: Self) -> Self::Output {
37 Self::new(self.val - rhs.val)
38 }
39}
40
41impl<P, N: Size> core::ops::Mul<Self> for Vector<P, N>
42where
43 P: Scalar,
44 P: core::ops::Mul<P, Output = P>,
45{
46 type Output = Self;
47
48 fn mul(self, rhs: Self) -> Self::Output {
49 Self::new(self.val * rhs.val)
50 }
51}
52
53impl<P, N: Size> core::ops::Div<Self> for Vector<P, N>
54where
55 P: Scalar,
56 P: core::ops::Div<P, Output = P>,
57{
58 type Output = Self;
59
60 fn div(self, rhs: Self) -> Self::Output {
61 Self::new(self.val / rhs.val)
62 }
63}
64
65impl<P, N: Size> core::ops::AddAssign<Self> for Vector<P, N>
66where
67 P: Scalar,
68 P: core::ops::AddAssign,
69{
70 fn add_assign(&mut self, rhs: Self) {
71 self.val += rhs.val;
72 }
73}
74
75impl<P, N: Size> core::ops::SubAssign<Self> for Vector<P, N>
76where
77 P: Scalar,
78 P: core::ops::SubAssign,
79{
80 fn sub_assign(&mut self, rhs: Self) {
81 self.val -= rhs.val;
82 }
83}
84
85impl<P, N: Size> core::ops::DivAssign<Self> for Vector<P, N>
86where
87 P: Scalar,
88 P: core::ops::DivAssign,
89{
90 fn div_assign(&mut self, rhs: Self) {
91 self.val /= rhs.val;
92 }
93}
94
95impl<P, N: Size> core::ops::MulAssign<Self> for Vector<P, N>
96where
97 P: Scalar,
98 P: core::ops::MulAssign,
99{
100 fn mul_assign(&mut self, rhs: Self) {
101 self.val *= rhs.val;
102 }
103}
104
105impl<P, N: Size> core::cmp::PartialEq for Vector<P, N>
106where
107 P: Scalar,
108 P: core::cmp::PartialEq,
109{
110 fn eq(&self, other: &Self) -> bool {
111 self.val.eq(&other.val)
112 }
113}
114
115impl<P, N: Size> core::cmp::PartialOrd for Vector<P, N>
116where
117 P: Scalar,
118 P: core::cmp::PartialOrd,
119{
120 fn partial_cmp(&self, other: &Self) -> Option<core::cmp::Ordering> {
121 self.val.partial_cmp(&other.val)
122 }
123}
124
125impl<P, N: Size> core::ops::BitAnd<Self> for Vector<P, N>
126where
127 P: Scalar,
128 P: core::ops::BitAnd<P, Output = P>,
129{
130 type Output = Self;
131
132 fn bitand(self, rhs: Self) -> Self::Output {
133 Self::new(self.val & rhs.val)
134 }
135}
136
137impl<P, N: Size> core::ops::BitOr<Self> for Vector<P, N>
138where
139 P: Scalar,
140 P: core::ops::BitOr<P, Output = P>,
141{
142 type Output = Self;
143
144 fn bitor(self, rhs: Self) -> Self::Output {
145 Self::new(self.val | rhs.val)
146 }
147}
148
149impl<P, N: Size> core::ops::BitXor<Self> for Vector<P, N>
150where
151 P: Scalar,
152 P: core::ops::BitXor<P, Output = P>,
153{
154 type Output = Self;
155
156 fn bitxor(self, rhs: Self) -> Self::Output {
157 Self::new(self.val ^ rhs.val)
158 }
159}
160
161impl<P, N: Size> core::ops::Shl<Self> for Vector<P, N>
162where
163 P: Scalar,
164 P: core::ops::Shl<P, Output = P>,
165{
166 type Output = Self;
167
168 fn shl(self, rhs: Self) -> Self::Output {
169 Self::new(self.val << rhs.val)
170 }
171}
172
173impl<P, N: Size> core::ops::Shr<Self> for Vector<P, N>
174where
175 P: Scalar,
176 P: core::ops::Shr<P, Output = P>,
177{
178 type Output = Self;
179
180 fn shr(self, rhs: Self) -> Self::Output {
181 Self::new(self.val >> rhs.val)
182 }
183}
184
185impl<P, N: Size> core::ops::BitAndAssign<Self> for Vector<P, N>
186where
187 P: Scalar,
188 P: core::ops::BitAndAssign,
189{
190 fn bitand_assign(&mut self, rhs: Self) {
191 self.val &= rhs.val;
192 }
193}
194
195impl<P, N: Size> core::ops::BitOrAssign<Self> for Vector<P, N>
196where
197 P: Scalar,
198 P: core::ops::BitOrAssign,
199{
200 fn bitor_assign(&mut self, rhs: Self) {
201 self.val |= rhs.val;
202 }
203}
204
205impl<P, N: Size> core::ops::BitXorAssign<Self> for Vector<P, N>
206where
207 P: Scalar,
208 P: core::ops::BitXorAssign,
209{
210 fn bitxor_assign(&mut self, rhs: Self) {
211 self.val ^= rhs.val;
212 }
213}
214
215impl<P, N: Size> core::ops::ShlAssign<Self> for Vector<P, N>
216where
217 P: Scalar,
218 P: core::ops::ShlAssign,
219{
220 fn shl_assign(&mut self, rhs: Self) {
221 self.val <<= rhs.val;
222 }
223}
224
225impl<P, N: Size> core::ops::ShrAssign<Self> for Vector<P, N>
226where
227 P: Scalar,
228 P: core::ops::ShrAssign,
229{
230 fn shr_assign(&mut self, rhs: Self) {
231 self.val >>= rhs.val;
232 }
233}
234
235impl<P: Scalar + Abs, N: Size> Abs for Vector<P, N> {
236 type AbsElem = P::AbsElem;
237}
238impl<P: Scalar + Log, N: Size> Log for Vector<P, N> {}
239impl<P: Scalar + Log1p, N: Size> Log1p for Vector<P, N> {}
240impl<P: Scalar + Expm1, N: Size> Expm1 for Vector<P, N> {}
241impl<P: Scalar + Erf, N: Size> Erf for Vector<P, N> {}
242impl<P: Scalar + Exp, N: Size> Exp for Vector<P, N> {}
243impl<P: Scalar + Powf, N: Size> Powf for Vector<P, N> {}
244impl<P: Scalar + Powi<I>, I: Scalar, N: Size> Powi<Vector<I, N>> for Vector<P, N> {}
245impl<P: Scalar + Sqrt, N: Size> Sqrt for Vector<P, N> {}
246impl<P: Scalar + InverseSqrt, N: Size> InverseSqrt for Vector<P, N> {}
247impl<P: Scalar + Cos, N: Size> Cos for Vector<P, N> {}
248impl<P: Scalar + Sin, N: Size> Sin for Vector<P, N> {}
249impl<P: Scalar + Tan, N: Size> Tan for Vector<P, N> {}
250impl<P: Scalar + Tanh, N: Size> Tanh for Vector<P, N> {}
251impl<P: Scalar + Sinh, N: Size> Sinh for Vector<P, N> {}
252impl<P: Scalar + Cosh, N: Size> Cosh for Vector<P, N> {}
253impl<P: Scalar + ArcSin, N: Size> ArcSin for Vector<P, N> {}
254impl<P: Scalar + ArcCos, N: Size> ArcCos for Vector<P, N> {}
255impl<P: Scalar + ArcTan, N: Size> ArcTan for Vector<P, N> {}
256impl<P: Scalar + ArcSinh, N: Size> ArcSinh for Vector<P, N> {}
257impl<P: Scalar + ArcCosh, N: Size> ArcCosh for Vector<P, N> {}
258impl<P: Scalar + ArcTanh, N: Size> ArcTanh for Vector<P, N> {}
259impl<P: Scalar + ArcTan2, N: Size> ArcTan2 for Vector<P, N> {}
260impl<P: Scalar + Recip, N: Size> Recip for Vector<P, N> {}
261impl<P: Scalar + Remainder, N: Size> Remainder for Vector<P, N> {}
262impl<P: Scalar + Round, N: Size> Round for Vector<P, N> {}
263impl<P: Scalar + Floor, N: Size> Floor for Vector<P, N> {}
264impl<P: Scalar + Ceil, N: Size> Ceil for Vector<P, N> {}
265impl<P: Scalar + Trunc, N: Size> Trunc for Vector<P, N> {}
266impl<P: Scalar + ReverseBits, N: Size> ReverseBits for Vector<P, N> {}
267impl<P: Scalar + CubeNot, N: Size> CubeNot for Vector<P, N> {}
268impl<P: Scalar + SaturatingAdd, N: Size> SaturatingAdd for Vector<P, N> {}
269impl<P: Scalar + SaturatingSub, N: Size> SaturatingSub for Vector<P, N> {}
270impl<P: Scalar + IsNan, N: Size> IsNan for Vector<P, N> {}
271impl<P: Scalar + IsInf, N: Size> IsInf for Vector<P, N> {}
272impl<P: Scalar + Normalize, N: Size> Normalize for Vector<P, N> {}
273impl<P: Scalar + Magnitude, N: Size> Magnitude for Vector<P, N> {}
274impl<P: Scalar + VectorSum, N: Size> VectorSum for Vector<P, N> {}
275impl<P: Scalar + Degrees, N: Size> Degrees for Vector<P, N> {}
276impl<P: Scalar + Radians, N: Size> Radians for Vector<P, N> {}
277
278impl<P: Scalar + Ord, N: Size> Ord for Vector<P, N> {
279 fn cmp(&self, other: &Self) -> core::cmp::Ordering {
280 self.val.cmp(&other.val)
281 }
282}
283
284#[cube]
285impl<P: CountOnes + Scalar, N: Size> Vector<P, N> {
286 pub fn count_ones(self) -> Vector<u32, N> {
287 intrinsic!(|scope| {
288 let out_item = Type::scalar(ElemType::UInt(UIntKind::U32))
289 .with_vector_size(self.expand.ty.vector_size());
290 let out = scope.create_local(out_item);
291 scope.register(Instruction::new(
292 Bitwise::CountOnes(UnaryOperator {
293 input: *self.expand,
294 }),
295 *out,
296 ));
297 out.into()
298 })
299 }
300}
301
302impl<P: LeadingZeros + Scalar, N: Size> LeadingZeros for Vector<P, N> {}
303impl<P: FindFirstSet + Scalar, N: Size> FindFirstSet for Vector<P, N> {}
304impl<P: TrailingZeros + Scalar, N: Size> TrailingZeros for Vector<P, N> {}
305
306impl<P: Scalar + NumCast, N: Size> NumCast for Vector<P, N> {
307 fn from<T: num_traits::ToPrimitive>(n: T) -> Option<Self> {
308 let val: P = NumCast::from(n)?;
309 Some(Self {
310 val,
311 _size: PhantomData,
312 })
313 }
314}
315impl<P: Scalar + NumCast, N: Size> ToPrimitive for Vector<P, N> {
316 fn to_i64(&self) -> Option<i64> {
317 self.val.to_i64()
318 }
319
320 fn to_u64(&self) -> Option<u64> {
321 self.val.to_u64()
322 }
323}
324
325impl<P: Not<Output = P> + Scalar, N: Size> Not for Vector<P, N> {
326 type Output = Self;
327
328 fn not(self) -> Self::Output {
329 Vector::new(self.val.not())
330 }
331}
332
333#[allow(clippy::from_over_into)]
334impl<P: Scalar + Into<NativeExpand<P>>, N: Size> Into<NativeExpand<Self>> for Vector<P, N> {
335 fn into(self) -> NativeExpand<Self> {
336 let elem: NativeExpand<P> = self.val.into();
337 elem.expand.into()
338 }
339}
340
341impl<T: Scalar + Default, N: Size> Default for Vector<T, N> {
342 fn default() -> Self {
343 Self::new(T::default())
344 }
345}
346
347impl<T: Scalar + IntoRuntime, N: Size> IntoRuntime for Vector<T, N> {
348 fn __expand_runtime_method(self, scope: &mut Scope) -> Self::ExpandType {
349 let val = self.val.__expand_runtime_method(scope);
350 Self::__expand_new(scope, val)
351 }
352}
353
354impl<T: Scalar + Into<ConstantValue>, N: Size> From<Vector<T, N>> for ConstantValue {
355 fn from(value: Vector<T, N>) -> Self {
356 value.val.into()
357 }
358}
359
360impl<T: Scalar + Zero, N: Size> Zero for Vector<T, N> {
361 fn zero() -> Self {
362 Self::new(T::zero())
363 }
364
365 fn is_zero(&self) -> bool {
366 self.val.is_zero()
367 }
368}
369
370impl<T: Scalar + One, N: Size> One for Vector<T, N> {
371 fn one() -> Self {
372 Self::new(T::one())
373 }
374}
375
376macro_rules! operation_literal {
377 ($lit:ty) => {
378 impl<P, N: Size> core::ops::Add<$lit> for Vector<P, N>
379 where
380 P: Scalar,
381 {
382 type Output = Self;
383
384 fn add(self, _rhs: $lit) -> Self::Output {
385 unexpanded!();
386 }
387 }
388
389 impl<P, N: Size> core::ops::Sub<$lit> for Vector<P, N>
390 where
391 P: Scalar,
392 {
393 type Output = Self;
394
395 fn sub(self, _rhs: $lit) -> Self::Output {
396 unexpanded!();
397 }
398 }
399
400 impl<P, N: Size> core::ops::Mul<$lit> for Vector<P, N>
401 where
402 P: Scalar,
403 {
404 type Output = Self;
405
406 fn mul(self, _rhs: $lit) -> Self::Output {
407 unexpanded!();
408 }
409 }
410
411 impl<P, N: Size> core::ops::Div<$lit> for Vector<P, N>
412 where
413 P: Scalar,
414 {
415 type Output = Self;
416
417 fn div(self, _rhs: $lit) -> Self::Output {
418 unexpanded!();
419 }
420 }
421 };
422}
423
424operation_literal!(f32);
425operation_literal!(f64);
426operation_literal!(usize);
427operation_literal!(i32);
428operation_literal!(i64);