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Commitaef050e

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seiko2plusamane-ame
authored andcommitted
SIMD: Fix compile error by using MaxLanes instead of Lanes for array size
 Replace hn::Lanes(f64) with hn::MaxLanes(f64) when defining the index array size to fix error C2131: "expression did not evaluate to a constant". This error occurs because Lanes() isn't always constexpr compatible, especially with scalable vector extensions. MaxLanes() provides a compile-time constant value suitable for static array allocation and should be used with non-scalable SIMD extensions when defining fixed-size arrays.
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2 files changed

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-2
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2 files changed

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‎numpy/_core/src/umath/loops_hyperbolic.dispatch.cpp.src

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -393,7 +393,7 @@ simd_tanh_f64(const double *src, npy_intp ssrc, double *dst, npy_intp sdst, npy_
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vec_f64 b, c0, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16;
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if constexpr(hn::MaxLanes(f64) == 2){
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vec_f64 e0e1_0, e0e1_1;
396-
uint64_t index[hn::Lanes(f64)];
396+
uint64_t index[hn::MaxLanes(f64)];
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hn::StoreU(idx, u64, index);
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/**begin repeat

‎numpy/_core/src/umath/loops_trigonometric.dispatch.cpp

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -184,7 +184,7 @@ simd_sincos_f32(const float *src, npy_intp ssrc, float *dst, npy_intp sdst,
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"larger than 256 bits.");
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simd_maski = ((uint8_t *)&simd_maski)[0];
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#endif
187-
floatNPY_DECL_ALIGNED(NPY_SIMD_WIDTH) ip_fback[hn::Lanes(f32)];
187+
floatNPY_DECL_ALIGNED(NPY_SIMD_WIDTH) ip_fback[hn::MaxLanes(f32)];
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hn::Store(x_in, f32, ip_fback);
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190190
// process elements using libc for large elements

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