numr 0.5.2

High-performance numerical computing with multi-backend GPU acceleration (CPU/CUDA/WebGPU)
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
//! FP8 (8-bit floating point) types for numr tensors
//!
//! This module provides two FP8 formats commonly used in ML:
//!
//! - **FP8E4M3**: 1 sign + 4 exponent + 3 mantissa bits
//!   - Range: ~[-448, 448]
//!   - Higher precision, smaller range
//!   - Best for: weights, activations
//!
//! - **FP8E5M2**: 1 sign + 5 exponent + 2 mantissa bits
//!   - Range: ~[-57344, 57344]
//!   - Lower precision, larger range
//!   - Best for: gradients (needs larger dynamic range)
//!
//! # Example
//!
//! ```
//! # use numr::dtype::FP8E4M3;
//! // Convert from f32
//! let fp8_val = FP8E4M3::from_f32(1.5);
//!
//! // Convert back to f32
//! let f32_val = fp8_val.to_f32();
//! assert!(fp8_val.to_f32() > 0.0);
//! ```

use bytemuck::{Pod, Zeroable};
use std::cmp::Ordering;
use std::fmt;
use std::ops::{Add, Div, Mul, Sub};

// ============================================================================
// CUDA Compatibility Traits
// ============================================================================

#[cfg(feature = "cuda")]
use cudarc::driver::DeviceRepr;
#[cfg(feature = "cuda")]
use cudarc::types::CudaTypeName;

// ============================================================================
// FP8E4M3 Type
// ============================================================================

/// 8-bit floating point with 4 exponent and 3 mantissa bits.
///
/// Format: 1 sign + 4 exponent + 3 mantissa
/// - Bias: 7
/// - Range: ~[-448, 448]
/// - Smallest positive normal: 2^-6 ≈ 0.015625
/// - Precision: ~3 decimal digits
///
/// Best for: weights and activations where precision matters more than range.
#[derive(Copy, Clone, Default, PartialEq, Eq, Hash)]
#[repr(transparent)]
pub struct FP8E4M3(pub u8);

// Safety: FP8E4M3 is a transparent wrapper around u8, which is Pod
unsafe impl Pod for FP8E4M3 {}
unsafe impl Zeroable for FP8E4M3 {}

impl FP8E4M3 {
    /// Zero value
    pub const ZERO: Self = Self(0x00);
    /// One value (sign=0, exp=0111, mant=000 -> 1.0 * 2^(7-7) = 1.0)
    pub const ONE: Self = Self(0x38);
    /// Negative one
    pub const NEG_ONE: Self = Self(0xB8);
    /// Maximum positive value (~448)
    pub const MAX: Self = Self(0x7E); // sign=0, exp=1111, mant=110
    /// Minimum positive value (smallest normal)
    pub const MIN_POSITIVE: Self = Self(0x08); // sign=0, exp=0001, mant=000
    /// Positive infinity (represented as max value, no inf in E4M3)
    pub const INFINITY: Self = Self::MAX;
    /// NaN (exp=1111, mant=111)
    pub const NAN: Self = Self(0x7F);

    /// Exponent bias for E4M3 format (reserved for future use)
    #[allow(dead_code)]
    const BIAS: i32 = 7;
    /// Number of mantissa bits (reserved for future use)
    #[allow(dead_code)]
    const MANTISSA_BITS: u32 = 3;
    /// Number of exponent bits (reserved for future use)
    #[allow(dead_code)]
    const EXPONENT_BITS: u32 = 4;

    /// Create from raw bits
    #[inline]
    pub const fn from_bits(bits: u8) -> Self {
        Self(bits)
    }

    /// Get raw bits
    #[inline]
    pub const fn to_bits(self) -> u8 {
        self.0
    }

    /// Convert from f32 to FP8E4M3 with saturation.
    ///
    /// Values outside the representable range are clamped:
    /// - |x| > 448 → ±MAX
    /// - |x| < 2^-9 → ±0
    ///
    /// See [`f32_to_fp8_e4m3`] for detailed conversion semantics.
    #[inline]
    pub fn from_f32(x: f32) -> Self {
        Self(f32_to_fp8_e4m3(x))
    }

    /// Convert from FP8E4M3 to f32
    #[inline]
    pub fn to_f32(self) -> f32 {
        fp8_e4m3_to_f32(self.0)
    }

    /// Convert from f64 to FP8E4M3
    #[inline]
    pub fn from_f64(x: f64) -> Self {
        Self::from_f32(x as f32)
    }

    /// Convert from FP8E4M3 to f64
    #[inline]
    pub fn to_f64(self) -> f64 {
        self.to_f32() as f64
    }

    /// Check if this value is NaN
    #[inline]
    pub fn is_nan(self) -> bool {
        // E4M3: NaN is exp=1111, mant=111
        (self.0 & 0x7F) == 0x7F
    }

    /// Check if this value is zero (positive or negative)
    #[inline]
    pub fn is_zero(self) -> bool {
        (self.0 & 0x7F) == 0
    }

    /// Check if this value is negative
    #[inline]
    pub fn is_negative(self) -> bool {
        (self.0 & 0x80) != 0 && !self.is_zero()
    }

    /// Maximum representable value as f32
    pub const fn max_value() -> f32 {
        448.0
    }

    /// Minimum representable value as f32
    pub const fn min_value() -> f32 {
        -448.0
    }
}

impl fmt::Debug for FP8E4M3 {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(f, "FP8E4M3({})", self.to_f32())
    }
}

impl fmt::Display for FP8E4M3 {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(f, "{}", self.to_f32())
    }
}

impl PartialOrd for FP8E4M3 {
    fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
        self.to_f32().partial_cmp(&other.to_f32())
    }
}

// Arithmetic operations via f32 conversion
impl Add for FP8E4M3 {
    type Output = Self;
    #[inline]
    fn add(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() + rhs.to_f32())
    }
}

impl Sub for FP8E4M3 {
    type Output = Self;
    #[inline]
    fn sub(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() - rhs.to_f32())
    }
}

impl Mul for FP8E4M3 {
    type Output = Self;
    #[inline]
    fn mul(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() * rhs.to_f32())
    }
}

impl Div for FP8E4M3 {
    type Output = Self;
    #[inline]
    fn div(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() / rhs.to_f32())
    }
}

impl std::ops::AddAssign for FP8E4M3 {
    #[inline]
    fn add_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() + rhs.to_f32());
    }
}

impl std::ops::SubAssign for FP8E4M3 {
    #[inline]
    fn sub_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() - rhs.to_f32());
    }
}

impl std::ops::MulAssign for FP8E4M3 {
    #[inline]
    fn mul_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() * rhs.to_f32());
    }
}

impl std::ops::DivAssign for FP8E4M3 {
    #[inline]
    fn div_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() / rhs.to_f32());
    }
}

// ============================================================================
// FP8E5M2 Type
// ============================================================================

/// 8-bit floating point with 5 exponent and 2 mantissa bits.
///
/// Format: 1 sign + 5 exponent + 2 mantissa
/// - Bias: 15
/// - Range: ~[-57344, 57344]
/// - Smallest positive normal: 2^-14 ≈ 0.000061
/// - Precision: ~2 decimal digits
///
/// Best for: gradients where dynamic range matters more than precision.
#[derive(Copy, Clone, Default, PartialEq, Eq, Hash)]
#[repr(transparent)]
pub struct FP8E5M2(pub u8);

// Safety: FP8E5M2 is a transparent wrapper around u8, which is Pod
unsafe impl Pod for FP8E5M2 {}
unsafe impl Zeroable for FP8E5M2 {}

impl FP8E5M2 {
    /// Zero value
    pub const ZERO: Self = Self(0x00);
    /// One value (sign=0, exp=01111, mant=00 -> 1.0 * 2^(15-15) = 1.0)
    pub const ONE: Self = Self(0x3C);
    /// Negative one
    pub const NEG_ONE: Self = Self(0xBC);
    /// Maximum positive value (~57344)
    pub const MAX: Self = Self(0x7B); // sign=0, exp=11110, mant=11
    /// Minimum positive value (smallest normal)
    pub const MIN_POSITIVE: Self = Self(0x04); // sign=0, exp=00001, mant=00
    /// Positive infinity
    pub const INFINITY: Self = Self(0x7C); // sign=0, exp=11111, mant=00
    /// Negative infinity
    pub const NEG_INFINITY: Self = Self(0xFC);
    /// NaN (exp=11111, mant!=00)
    pub const NAN: Self = Self(0x7F);

    /// Exponent bias for E5M2 format (reserved for future use)
    #[allow(dead_code)]
    const BIAS: i32 = 15;
    /// Number of mantissa bits (reserved for future use)
    #[allow(dead_code)]
    const MANTISSA_BITS: u32 = 2;
    /// Number of exponent bits (reserved for future use)
    #[allow(dead_code)]
    const EXPONENT_BITS: u32 = 5;

    /// Create from raw bits
    #[inline]
    pub const fn from_bits(bits: u8) -> Self {
        Self(bits)
    }

    /// Get raw bits
    #[inline]
    pub const fn to_bits(self) -> u8 {
        self.0
    }

    /// Convert from f32 to FP8E5M2 with saturation.
    ///
    /// Values outside the representable range are clamped:
    /// - |x| > 57344 → ±Infinity
    /// - |x| < 2^-16 → ±0
    ///
    /// See [`f32_to_fp8_e5m2`] for detailed conversion semantics.
    #[inline]
    pub fn from_f32(x: f32) -> Self {
        Self(f32_to_fp8_e5m2(x))
    }

    /// Convert from FP8E5M2 to f32
    #[inline]
    pub fn to_f32(self) -> f32 {
        fp8_e5m2_to_f32(self.0)
    }

    /// Convert from f64 to FP8E5M2
    #[inline]
    pub fn from_f64(x: f64) -> Self {
        Self::from_f32(x as f32)
    }

    /// Convert from FP8E5M2 to f64
    #[inline]
    pub fn to_f64(self) -> f64 {
        self.to_f32() as f64
    }

    /// Check if this value is NaN
    #[inline]
    pub fn is_nan(self) -> bool {
        // E5M2: NaN is exp=11111, mant!=00
        let exp = (self.0 >> 2) & 0x1F;
        let mant = self.0 & 0x03;
        exp == 0x1F && mant != 0
    }

    /// Check if this value is infinite
    #[inline]
    pub fn is_infinite(self) -> bool {
        // E5M2: Inf is exp=11111, mant=00
        (self.0 & 0x7F) == 0x7C
    }

    /// Check if this value is zero (positive or negative)
    #[inline]
    pub fn is_zero(self) -> bool {
        (self.0 & 0x7F) == 0
    }

    /// Check if this value is negative
    #[inline]
    pub fn is_negative(self) -> bool {
        (self.0 & 0x80) != 0 && !self.is_zero()
    }

    /// Maximum representable finite value as f32
    pub const fn max_value() -> f32 {
        57344.0
    }

    /// Minimum representable finite value as f32
    pub const fn min_value() -> f32 {
        -57344.0
    }
}

impl fmt::Debug for FP8E5M2 {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(f, "FP8E5M2({})", self.to_f32())
    }
}

impl fmt::Display for FP8E5M2 {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(f, "{}", self.to_f32())
    }
}

impl PartialOrd for FP8E5M2 {
    fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
        self.to_f32().partial_cmp(&other.to_f32())
    }
}

// Arithmetic operations via f32 conversion
impl Add for FP8E5M2 {
    type Output = Self;
    #[inline]
    fn add(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() + rhs.to_f32())
    }
}

impl Sub for FP8E5M2 {
    type Output = Self;
    #[inline]
    fn sub(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() - rhs.to_f32())
    }
}

impl Mul for FP8E5M2 {
    type Output = Self;
    #[inline]
    fn mul(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() * rhs.to_f32())
    }
}

impl Div for FP8E5M2 {
    type Output = Self;
    #[inline]
    fn div(self, rhs: Self) -> Self {
        Self::from_f32(self.to_f32() / rhs.to_f32())
    }
}

impl std::ops::AddAssign for FP8E5M2 {
    #[inline]
    fn add_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() + rhs.to_f32());
    }
}

impl std::ops::SubAssign for FP8E5M2 {
    #[inline]
    fn sub_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() - rhs.to_f32());
    }
}

impl std::ops::MulAssign for FP8E5M2 {
    #[inline]
    fn mul_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() * rhs.to_f32());
    }
}

impl std::ops::DivAssign for FP8E5M2 {
    #[inline]
    fn div_assign(&mut self, rhs: Self) {
        *self = Self::from_f32(self.to_f32() / rhs.to_f32());
    }
}

// ============================================================================
// CUDA Trait Implementations
// ============================================================================

/// FP8E4M3 maps to numr's custom CUDA type (1 sign + 4 exponent + 3 mantissa)
/// This matches the `numr_fp8_e4m3` struct defined in CUDA kernels.
#[cfg(feature = "cuda")]
impl CudaTypeName for FP8E4M3 {
    const NAME: &'static str = "numr_fp8_e4m3";
}

/// FP8E5M2 maps to numr's custom CUDA type (1 sign + 5 exponent + 2 mantissa)
/// This matches the `numr_fp8_e5m2` struct defined in CUDA kernels.
#[cfg(feature = "cuda")]
impl CudaTypeName for FP8E5M2 {
    const NAME: &'static str = "numr_fp8_e5m2";
}

/// SAFETY: FP8E4M3 is #[repr(transparent)] wrapping u8, which is trivially safe
/// for GPU transfers. The type is Pod and Zeroable.
#[cfg(feature = "cuda")]
unsafe impl DeviceRepr for FP8E4M3 {}

/// SAFETY: FP8E5M2 is #[repr(transparent)] wrapping u8, which is trivially safe
/// for GPU transfers. The type is Pod and Zeroable.
#[cfg(feature = "cuda")]
unsafe impl DeviceRepr for FP8E5M2 {}

// ============================================================================
// Conversion Functions
// ============================================================================

/// Convert f32 to FP8 E4M3 format with saturation semantics.
///
/// This function never panics. All f32 values are accepted and converted using
/// saturation (clamping) for out-of-range values.
///
/// # Saturation Behavior
///
/// - **Overflow** (|x| > 448): Saturates to ±MAX (0x7E / 0xFE)
/// - **Underflow** (|x| < ~2^-9): Saturates to ±0
/// - **Infinity**: Saturates to ±MAX (E4M3 has no infinity representation)
/// - **NaN**: Preserved as NaN (0x7F / 0xFF)
/// - **Subnormals**: Converted correctly with gradual underflow
///
/// # Precision Loss
///
/// FP8 E4M3 has only 3 mantissa bits (~1 decimal digit of precision).
/// Rounding uses round-to-nearest-even (banker's rounding).
///
/// # Valid Output Range
///
/// - Normal values: ±[2^-6, 448] (approximately ±[0.015625, 448])
/// - Subnormal values: ±[2^-9, 2^-6) (approximately ±[0.00195, 0.015625))
#[inline]
pub fn f32_to_fp8_e4m3(x: f32) -> u8 {
    let bits = x.to_bits();
    let sign = (bits >> 31) as u8;
    let exp = ((bits >> 23) & 0xFF) as i32;
    let mant = bits & 0x7FFFFF;

    // Handle special cases
    if exp == 255 {
        // NaN or Inf
        if mant != 0 {
            // NaN
            return 0x7F | (sign << 7);
        }
        // Inf -> clamp to max (E4M3 has no inf)
        return 0x7E | (sign << 7);
    }

    if exp == 0 && mant == 0 {
        // Zero
        return sign << 7;
    }

    // Compute unbiased exponent
    // F32 bias = 127, E4M3 bias = 7
    let unbiased_exp = if exp == 0 {
        // Subnormal f32
        -126
    } else {
        exp - 127
    };

    // E4M3 exponent range: -6 to 8 (stored as 1 to 15, with 0 for subnormals)
    // Max exp = 8 (stored as 15), but exp=15 with mant=111 is NaN
    // So max normal is exp=15, mant=110 -> value = 1.75 * 2^8 = 448

    if unbiased_exp > 8 {
        // Overflow -> max value
        return 0x7E | (sign << 7);
    }

    if unbiased_exp < -9 {
        // Underflow -> zero
        return sign << 7;
    }

    // Handle subnormals in E4M3 (exp stored as 0)
    if unbiased_exp < -6 {
        // E4M3 subnormal: exp=0, implicit leading 0
        // Value = 0.mant * 2^(-6)
        let shift = (-6 - unbiased_exp) as u32;
        let fp8_mant = if exp == 0 {
            // F32 subnormal: add implicit 0.xxx
            mant >> (23 - 3 + shift)
        } else {
            // F32 normal: add implicit 1.xxx
            (0x800000 | mant) >> (23 - 3 + shift + 1)
        };
        return (sign << 7) | (fp8_mant as u8 & 0x07);
    }

    // Normal E4M3 value
    let fp8_exp = (unbiased_exp + 7) as u8;

    // Round mantissa from 23 bits to 3 bits
    let fp8_mant = if exp == 0 {
        // F32 subnormal
        (mant >> (23 - 3)) as u8
    } else {
        // F32 normal - round to nearest even
        let mant_shifted = mant >> (23 - 3 - 1); // Keep 4 bits for rounding
        let round_bit = (mant_shifted & 1) != 0;
        let mant_3bit = (mant_shifted >> 1) as u8;

        if round_bit {
            // Round up if tie breaks to even or if remainder > 0.5
            let remainder = mant & ((1 << (23 - 4)) - 1);
            if remainder != 0 || (mant_3bit & 1) != 0 {
                // Round up
                if mant_3bit == 0x07 {
                    // Mantissa overflow, increment exponent
                    if fp8_exp >= 15 {
                        // Would overflow to NaN, clamp to max
                        return 0x7E | (sign << 7);
                    }
                    return (sign << 7) | ((fp8_exp + 1) << 3);
                }
                mant_3bit + 1
            } else {
                mant_3bit
            }
        } else {
            mant_3bit
        }
    };

    // Check for NaN pattern (exp=15, mant=7)
    if fp8_exp == 15 && fp8_mant == 7 {
        // Clamp to max instead of NaN
        return 0x7E | (sign << 7);
    }

    (sign << 7) | (fp8_exp << 3) | (fp8_mant & 0x07)
}

/// Convert FP8 E4M3 to f32.
///
/// This function never panics. All 256 possible u8 values produce valid f32 results.
///
/// # Special Values
///
/// - 0x00 / 0x80: Positive/negative zero
/// - 0x7F / 0xFF: Positive/negative NaN
/// - 0x7E / 0xFE: Positive/negative MAX (~448)
///
/// # Conversion
///
/// The conversion is exact - no precision is lost when converting FP8 to f32.
#[inline]
pub fn fp8_e4m3_to_f32(x: u8) -> f32 {
    let sign = (x >> 7) & 1;
    let exp = (x >> 3) & 0x0F;
    let mant = x & 0x07;

    // Handle special cases
    if exp == 15 && mant == 7 {
        // NaN
        return f32::NAN;
    }

    if exp == 0 && mant == 0 {
        // Zero
        return if sign != 0 { -0.0 } else { 0.0 };
    }

    let f32_sign = (sign as u32) << 31;

    if exp == 0 {
        // Subnormal: value = 0.mant * 2^(-6)
        // Convert to f32: find the leading 1 bit
        let mant_val = mant as f32 / 8.0; // 0.mant in binary
        let value = mant_val * 2.0f32.powi(-6);
        return if sign != 0 { -value } else { value };
    }

    // Normal: value = 1.mant * 2^(exp - 7)
    // F32 format: 1.mant23 * 2^(exp32 - 127)
    // So exp32 = exp - 7 + 127 = exp + 120
    let f32_exp = ((exp as u32) + 120) << 23;
    let f32_mant = (mant as u32) << 20; // Shift 3-bit mant to 23-bit position

    f32::from_bits(f32_sign | f32_exp | f32_mant)
}

/// Convert f32 to FP8 E5M2 format with saturation semantics.
///
/// This function never panics. All f32 values are accepted and converted using
/// saturation for out-of-range values.
///
/// # Saturation Behavior
///
/// - **Overflow** (|x| > 57344): Saturates to ±Infinity (0x7C / 0xFC)
/// - **Underflow** (|x| < ~2^-16): Saturates to ±0
/// - **Infinity**: Preserved as ±Infinity (E5M2 supports infinity)
/// - **NaN**: Preserved as NaN (0x7D-0x7F / 0xFD-0xFF)
/// - **Subnormals**: Converted correctly with gradual underflow
///
/// # Precision Loss
///
/// FP8 E5M2 has only 2 mantissa bits (~0.6 decimal digits of precision).
/// Rounding uses round-to-nearest-even (banker's rounding).
///
/// # Valid Output Range
///
/// - Normal values: ±[2^-14, 57344] (approximately ±[0.000061, 57344])
/// - Subnormal values: ±[2^-16, 2^-14) (approximately ±[0.000015, 0.000061))
/// - Special: ±Infinity, NaN
#[inline]
pub fn f32_to_fp8_e5m2(x: f32) -> u8 {
    let bits = x.to_bits();
    let sign = (bits >> 31) as u8;
    let exp = ((bits >> 23) & 0xFF) as i32;
    let mant = bits & 0x7FFFFF;

    // Handle special cases
    if exp == 255 {
        // NaN or Inf
        if mant != 0 {
            // NaN
            return 0x7F | (sign << 7);
        }
        // Inf
        return 0x7C | (sign << 7);
    }

    if exp == 0 && mant == 0 {
        // Zero
        return sign << 7;
    }

    // Compute unbiased exponent
    // F32 bias = 127, E5M2 bias = 15
    let unbiased_exp = if exp == 0 {
        // Subnormal f32
        -126
    } else {
        exp - 127
    };

    // E5M2 exponent range: -14 to 15 (stored as 1 to 30, with 0 for subnormals, 31 for inf/nan)
    if unbiased_exp > 15 {
        // Overflow -> Inf
        return 0x7C | (sign << 7);
    }

    if unbiased_exp < -16 {
        // Underflow -> zero
        return sign << 7;
    }

    // Handle subnormals in E5M2 (exp stored as 0)
    if unbiased_exp < -14 {
        // E5M2 subnormal: exp=0, implicit leading 0
        // Value = 0.mant * 2^(-14)
        let shift = (-14 - unbiased_exp) as u32;
        let fp8_mant = if exp == 0 {
            mant >> (23 - 2 + shift)
        } else {
            (0x800000 | mant) >> (23 - 2 + shift + 1)
        };
        return (sign << 7) | (fp8_mant as u8 & 0x03);
    }

    // Normal E5M2 value
    let fp8_exp = (unbiased_exp + 15) as u8;

    // Round mantissa from 23 bits to 2 bits
    let fp8_mant = if exp == 0 {
        (mant >> (23 - 2)) as u8
    } else {
        // Round to nearest even
        let mant_shifted = mant >> (23 - 2 - 1);
        let round_bit = (mant_shifted & 1) != 0;
        let mant_2bit = (mant_shifted >> 1) as u8;

        if round_bit {
            let remainder = mant & ((1 << (23 - 3)) - 1);
            if remainder != 0 || (mant_2bit & 1) != 0 {
                if mant_2bit == 0x03 {
                    if fp8_exp >= 30 {
                        // Overflow to Inf
                        return 0x7C | (sign << 7);
                    }
                    return (sign << 7) | ((fp8_exp + 1) << 2);
                }
                mant_2bit + 1
            } else {
                mant_2bit
            }
        } else {
            mant_2bit
        }
    };

    (sign << 7) | (fp8_exp << 2) | (fp8_mant & 0x03)
}

/// Convert FP8 E5M2 to f32.
///
/// This function never panics. All 256 possible u8 values produce valid f32 results.
///
/// # Special Values
///
/// - 0x00 / 0x80: Positive/negative zero
/// - 0x7C / 0xFC: Positive/negative infinity
/// - 0x7D-0x7F / 0xFD-0xFF: NaN values
/// - 0x7B / 0xFB: Positive/negative MAX (~57344)
///
/// # Conversion
///
/// The conversion is exact - no precision is lost when converting FP8 to f32.
#[inline]
pub fn fp8_e5m2_to_f32(x: u8) -> f32 {
    let sign = (x >> 7) & 1;
    let exp = (x >> 2) & 0x1F;
    let mant = x & 0x03;

    // Handle special cases
    if exp == 31 {
        if mant != 0 {
            // NaN
            return f32::NAN;
        }
        // Inf
        return if sign != 0 {
            f32::NEG_INFINITY
        } else {
            f32::INFINITY
        };
    }

    if exp == 0 && mant == 0 {
        // Zero
        return if sign != 0 { -0.0 } else { 0.0 };
    }

    let f32_sign = (sign as u32) << 31;

    if exp == 0 {
        // Subnormal: value = 0.mant * 2^(-14)
        let mant_val = mant as f32 / 4.0;
        let value = mant_val * 2.0f32.powi(-14);
        return if sign != 0 { -value } else { value };
    }

    // Normal: value = 1.mant * 2^(exp - 15)
    // F32: exp32 = exp - 15 + 127 = exp + 112
    let f32_exp = ((exp as u32) + 112) << 23;
    let f32_mant = (mant as u32) << 21;

    f32::from_bits(f32_sign | f32_exp | f32_mant)
}

// ============================================================================
// Tests
// ============================================================================

#[cfg(test)]
mod tests {
    use super::*;

    // ========== FP8E4M3 Tests ==========

    #[test]
    fn test_fp8_e4m3_zero() {
        assert_eq!(FP8E4M3::ZERO.to_f32(), 0.0);
        assert_eq!(FP8E4M3::from_f32(0.0).to_bits(), 0x00);
        assert_eq!(FP8E4M3::from_f32(-0.0).to_bits(), 0x80);
    }

    #[test]
    fn test_fp8_e4m3_one() {
        let one = FP8E4M3::ONE;
        assert!((one.to_f32() - 1.0).abs() < 0.01);

        let from_one = FP8E4M3::from_f32(1.0);
        assert!((from_one.to_f32() - 1.0).abs() < 0.01);
    }

    #[test]
    fn test_fp8_e4m3_roundtrip() {
        let test_values = [0.5, 1.0, 1.5, 2.0, 4.0, 8.0, 16.0, 100.0, 448.0];
        for &val in &test_values {
            let fp8 = FP8E4M3::from_f32(val);
            let back = fp8.to_f32();
            // Allow ~12% error due to 3-bit mantissa
            let rel_error = (back - val).abs() / val.abs().max(1e-6);
            assert!(
                rel_error < 0.2,
                "FP8E4M3 roundtrip failed for {}: got {}, rel_error={}",
                val,
                back,
                rel_error
            );
        }
    }

    #[test]
    fn test_fp8_e4m3_negative() {
        let neg_one = FP8E4M3::from_f32(-1.0);
        assert!(neg_one.to_f32() < 0.0);
        assert!((neg_one.to_f32() + 1.0).abs() < 0.01);
    }

    #[test]
    fn test_fp8_e4m3_overflow() {
        let big = FP8E4M3::from_f32(1000.0);
        assert!((big.to_f32() - 448.0).abs() < 1.0); // Clamped to max
    }

    #[test]
    fn test_fp8_e4m3_underflow() {
        let tiny = FP8E4M3::from_f32(1e-10);
        assert_eq!(tiny.to_f32(), 0.0);
    }

    #[test]
    fn test_fp8_e4m3_nan() {
        let nan = FP8E4M3::from_f32(f32::NAN);
        assert!(nan.is_nan());
        assert!(nan.to_f32().is_nan());
    }

    #[test]
    fn test_fp8_e4m3_inf() {
        let inf = FP8E4M3::from_f32(f32::INFINITY);
        // E4M3 has no infinity, should clamp to max
        assert!((inf.to_f32() - 448.0).abs() < 1.0);
    }

    #[test]
    fn test_fp8_e4m3_arithmetic() {
        let a = FP8E4M3::from_f32(2.0);
        let b = FP8E4M3::from_f32(3.0);

        let sum = a + b;
        assert!((sum.to_f32() - 5.0).abs() < 0.5);

        let diff = b - a;
        assert!((diff.to_f32() - 1.0).abs() < 0.5);

        let prod = a * b;
        assert!((prod.to_f32() - 6.0).abs() < 0.5);

        let quot = b / a;
        assert!((quot.to_f32() - 1.5).abs() < 0.3);
    }

    // ========== FP8E5M2 Tests ==========

    #[test]
    fn test_fp8_e5m2_zero() {
        assert_eq!(FP8E5M2::ZERO.to_f32(), 0.0);
        assert_eq!(FP8E5M2::from_f32(0.0).to_bits(), 0x00);
    }

    #[test]
    fn test_fp8_e5m2_one() {
        let one = FP8E5M2::ONE;
        assert!((one.to_f32() - 1.0).abs() < 0.01);
    }

    #[test]
    fn test_fp8_e5m2_roundtrip() {
        let test_values = [0.5, 1.0, 2.0, 4.0, 8.0, 100.0, 1000.0, 10000.0];
        for &val in &test_values {
            let fp8 = FP8E5M2::from_f32(val);
            let back = fp8.to_f32();
            // Allow ~25% error due to 2-bit mantissa
            let rel_error = (back - val).abs() / val.abs().max(1e-6);
            assert!(
                rel_error < 0.35,
                "FP8E5M2 roundtrip failed for {}: got {}, rel_error={}",
                val,
                back,
                rel_error
            );
        }
    }

    #[test]
    fn test_fp8_e5m2_large_range() {
        // E5M2 should handle larger values than E4M3
        let large = FP8E5M2::from_f32(50000.0);
        assert!(large.to_f32() > 30000.0);
    }

    #[test]
    fn test_fp8_e5m2_inf() {
        let inf = FP8E5M2::from_f32(f32::INFINITY);
        assert!(inf.is_infinite());
        assert!(inf.to_f32().is_infinite());
    }

    #[test]
    fn test_fp8_e5m2_nan() {
        let nan = FP8E5M2::from_f32(f32::NAN);
        assert!(nan.is_nan());
        assert!(nan.to_f32().is_nan());
    }

    #[test]
    fn test_fp8_e5m2_arithmetic() {
        let a = FP8E5M2::from_f32(100.0);
        let b = FP8E5M2::from_f32(200.0);

        let sum = a + b;
        assert!((sum.to_f32() - 300.0).abs() < 50.0);

        let diff = b - a;
        assert!((diff.to_f32() - 100.0).abs() < 30.0);
    }

    // ========== Pod/Zeroable Tests ==========

    #[test]
    fn test_fp8_e4m3_bytemuck() {
        let arr = [FP8E4M3::ZERO, FP8E4M3::ONE];
        let bytes: &[u8] = bytemuck::cast_slice(&arr);
        assert_eq!(bytes.len(), 2);

        let back: &[FP8E4M3] = bytemuck::cast_slice(bytes);
        assert_eq!(back[0], FP8E4M3::ZERO);
        assert_eq!(back[1], FP8E4M3::ONE);
    }

    #[test]
    fn test_fp8_e5m2_bytemuck() {
        let arr = [FP8E5M2::ZERO, FP8E5M2::ONE];
        let bytes: &[u8] = bytemuck::cast_slice(&arr);
        assert_eq!(bytes.len(), 2);

        let back: &[FP8E5M2] = bytemuck::cast_slice(bytes);
        assert_eq!(back[0], FP8E5M2::ZERO);
        assert_eq!(back[1], FP8E5M2::ONE);
    }
}