| // Copyright 2020 Google LLC |
| // |
| // This source code is licensed under the BSD-style license found in the |
| // LICENSE file in the root directory of this source tree. |
| |
| $assert BATCH_TILE % 16 == 0 |
| $assert BATCH_TILE >= 16 |
| $SIMD_TILE = BATCH_TILE // 16 |
| $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" |
| #include <assert.h> |
| |
| #include <immintrin.h> |
| |
| #include <xnnpack/common.h> |
| #include <xnnpack/intrinsics-polyfill.h> |
| #include <xnnpack/vunary.h> |
| |
| |
| void xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x${BATCH_TILE}( |
| size_t n, |
| const float* x, |
| float* y, |
| const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) |
| { |
| assert(n != 0); |
| assert(n % sizeof(float) == 0); |
| |
| const __m512 vhalf = _mm512_set1_ps(params->avx512.half); |
| $if BATCH_TILE > 16: |
| for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) { |
| const __m512 vx${ABC[0]} = _mm512_loadu_ps(x); |
| $for N in range(1, SIMD_TILE): |
| const __m512 vx${ABC[N]} = _mm512_loadu_ps(x + ${N * 16}); |
| x += ${BATCH_TILE}; |
| |
| $for N in range(SIMD_TILE): |
| const __m512 vrsqrtx${ABC[N]} = _mm512_rsqrt14_ps(vx${ABC[N]}); |
| |
| $for N in range(SIMD_TILE): |
| __m512 vsqrtx${ABC[N]} = _mm512_mul_ps(vrsqrtx${ABC[N]}, vx${ABC[N]}); |
| __m512 vhalfrsqrtx${ABC[N]} = _mm512_mul_ps(vrsqrtx${ABC[N]}, vhalf); |
| |
| $for N in range(SIMD_TILE): |
| const __m512 vresidual${ABC[N]} = _mm512_fnmadd_ps(vsqrtx${ABC[N]}, vhalfrsqrtx${ABC[N]}, vhalf); |
| |
| $for N in range(SIMD_TILE): |
| vhalfrsqrtx${ABC[N]} = _mm512_fmadd_ps(vhalfrsqrtx${ABC[N]}, vresidual${ABC[N]}, vhalfrsqrtx${ABC[N]}); |
| vsqrtx${ABC[N]} = _mm512_fmadd_ps(vsqrtx${ABC[N]}, vresidual${ABC[N]}, vsqrtx${ABC[N]}); |
| |
| $for N in range(SIMD_TILE): |
| const __m512 vadjustment${ABC[N]} = _mm512_fnmadd_ps(vsqrtx${ABC[N]}, vsqrtx${ABC[N]}, vx${ABC[N]}); |
| |
| $for N in range(SIMD_TILE): |
| const __m512 vy${ABC[N]} = _mm512_fmadd_ps(vhalfrsqrtx${ABC[N]}, vadjustment${ABC[N]}, vsqrtx${ABC[N]}); |
| |
| _mm512_storeu_ps(y, vy${ABC[0]}); |
| $for N in range(1, SIMD_TILE): |
| _mm512_storeu_ps(y + ${N * 16}, vy${ABC[N]}); |
| y += ${BATCH_TILE}; |
| } |
| for (; n >= 16 * sizeof(float); n -= 16 * sizeof(float)) { |
| const __m512 vx = _mm512_loadu_ps(x); |
| x += 16; |
| |
| const __m512 vrsqrtx = _mm512_rsqrt14_ps(vx); |
| __m512 vsqrtx = _mm512_mul_ps(vrsqrtx, vx); |
| __m512 vhalfrsqrtx = _mm512_mul_ps(vrsqrtx, vhalf); |
| const __m512 vresidual = _mm512_fnmadd_ps(vsqrtx, vhalfrsqrtx, vhalf); |
| vhalfrsqrtx = _mm512_fmadd_ps(vhalfrsqrtx, vresidual, vhalfrsqrtx); |
| vsqrtx = _mm512_fmadd_ps(vsqrtx, vresidual, vsqrtx); |
| const __m512 vadjustment = _mm512_fnmadd_ps(vsqrtx, vsqrtx, vx); |
| const __m512 vy = _mm512_fmadd_ps(vhalfrsqrtx, vadjustment, vsqrtx); |
| |
| _mm512_storeu_ps(y, vy); |
| y += 16; |
| } |
| if XNN_UNLIKELY(n != 0) { |
| assert(n >= 1 * sizeof(float)); |
| assert(n <= 15 * sizeof(float)); |
| // Prepare mask for valid 32-bit elements (depends on n). |
| n >>= 2 /* log2(sizeof(float)) */; |
| const __mmask16 vmask = _cvtu32_mask16((uint16_t) ((uint32_t) (UINT32_C(1) << n) - UINT32_C(1))); |
| |
| const __m512 vx = _mm512_maskz_loadu_ps(vmask, x); |
| const __m512 vrsqrtx = _mm512_maskz_rsqrt14_ps(vmask, vx); |
| __m512 vsqrtx = _mm512_mul_ps(vrsqrtx, vx); |
| __m512 vhalfrsqrtx = _mm512_mul_ps(vrsqrtx, vhalf); |
| const __m512 vresidual = _mm512_fnmadd_ps(vsqrtx, vhalfrsqrtx, vhalf); |
| vhalfrsqrtx = _mm512_fmadd_ps(vhalfrsqrtx, vresidual, vhalfrsqrtx); |
| vsqrtx = _mm512_fmadd_ps(vsqrtx, vresidual, vsqrtx); |
| const __m512 vadjustment = _mm512_fnmadd_ps(vsqrtx, vsqrtx, vx); |
| const __m512 vy = _mm512_fmadd_ps(vhalfrsqrtx, vadjustment, vsqrtx); |
| |
| _mm512_mask_storeu_ps(y, vmask, vy); |
| } |
| } |