// 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 $assert RR_STEPS in [1, 2] $assert DIV_ALGO in ["div", "nr1fma", "nr1fma1adj"] $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" $SIMD_TILE = BATCH_TILE // 16 #include #include #include #include #include void xnn_f32_sigmoid_ukernel__avx512f_rr${RR_STEPS}_p5_scalef_${DIV_ALGO}_x${BATCH_TILE}( size_t n, const float* x, float* y, const void* params) { assert(n % sizeof(float) == 0); const __m512i vsign_mask = _mm512_set1_epi32(0x80000000); const __m512 vlog2e = _mm512_set1_ps(0x1.715476p+0f); $if RR_STEPS == 1: const __m512 vminus_ln2 = _mm512_set1_ps(-0x1.62E43p-1f); $else: const __m512 vminus_ln2_hi = _mm512_set1_ps(-0x1.62E43p-1f); const __m512 vminus_ln2_lo = _mm512_set1_ps(0x1.05C61p-29f); const __m512 vc5 = _mm512_set1_ps(0x1.0F9F9Cp-7f); const __m512 vc4 = _mm512_set1_ps(0x1.573A1Ap-5f); const __m512 vc3 = _mm512_set1_ps(0x1.555A80p-3f); const __m512 vc2 = _mm512_set1_ps(0x1.FFFDC6p-2f); const __m512 vc1 = _mm512_set1_ps(0x1.FFFFF6p-1f); const __m512 vone = _mm512_set1_ps(1.0f); $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}; $for N in range(SIMD_TILE): const __m512 vz${ABC[N]} = _mm512_castsi512_ps(_mm512_or_epi32(_mm512_castps_si512(vx${ABC[N]}), vsign_mask)); $for N in range(SIMD_TILE): __m512 vn${ABC[N]} = _mm512_mul_ps(vz${ABC[N]}, vlog2e); $for N in range(SIMD_TILE): vn${ABC[N]} = _mm512_roundscale_ps(vn${ABC[N]}, 0); $if RR_STEPS == 1: $for N in range(SIMD_TILE): __m512 vt${ABC[N]} = _mm512_fmadd_ps(vn${ABC[N]}, vminus_ln2, vz${ABC[N]}); $else: $for N in range(SIMD_TILE): __m512 vt${ABC[N]} = _mm512_fmadd_ps(vn${ABC[N]}, vminus_ln2_hi, vz${ABC[N]}); $for N in range(SIMD_TILE): vt${ABC[N]} = _mm512_fmadd_ps(vn${ABC[N]}, vminus_ln2_lo, vt${ABC[N]}); $for N in range(SIMD_TILE): __m512 vp${ABC[N]} = _mm512_fmadd_ps(vc5, vt${ABC[N]}, vc4); $for N in range(SIMD_TILE): vp${ABC[N]} = _mm512_fmadd_ps(vp${ABC[N]}, vt${ABC[N]}, vc3); $for N in range(SIMD_TILE): vp${ABC[N]} = _mm512_fmadd_ps(vp${ABC[N]}, vt${ABC[N]}, vc2); $for N in range(SIMD_TILE): vp${ABC[N]} = _mm512_fmadd_ps(vp${ABC[N]}, vt${ABC[N]}, vc1); $for N in range(SIMD_TILE): vp${ABC[N]} = _mm512_fmadd_ps(vp${ABC[N]}, vt${ABC[N]}, vone); $for N in range(SIMD_TILE): const __m512 ve${ABC[N]} = _mm512_scalef_ps(vp${ABC[N]}, vn${ABC[N]}); $for N in range(SIMD_TILE): const __m512 vd${ABC[N]} = _mm512_add_ps(ve${ABC[N]}, vone); $if DIV_ALGO == "div": $for N in range(SIMD_TILE): __m512 vf${ABC[N]} = _mm512_div_ps(ve${ABC[N]}, vd${ABC[N]}); $else: $for N in range(SIMD_TILE): __m512 vr${ABC[N]} = _mm512_rcp14_ps(vd${ABC[N]}); $for N in range(SIMD_TILE): vr${ABC[N]} = _mm512_fmadd_ps(_mm512_fnmadd_ps(vr${ABC[N]}, vd${ABC[N]}, vone), vr${ABC[N]}, vr${ABC[N]}); $for N in range(SIMD_TILE): __m512 vf${ABC[N]} = _mm512_mul_ps(ve${ABC[N]}, vr${ABC[N]}); $if DIV_ALGO == "nr1fma1adj": $for N in range(SIMD_TILE): vf${ABC[N]} = _mm512_fmadd_ps(_mm512_fnmadd_ps(vf${ABC[N]}, vd${ABC[N]}, ve${ABC[N]}), vr${ABC[N]}, vf${ABC[N]}); $for N in range(SIMD_TILE): vf${ABC[N]} = _mm512_mask_sub_ps(vf${ABC[N]}, _mm512_testn_epi32_mask(_mm512_castps_si512(vx${ABC[N]}), vsign_mask), vone, vf${ABC[N]}); _mm512_storeu_ps(y, vf${ABC[0]}); $for N in range(1, SIMD_TILE): _mm512_storeu_ps(y + ${N * 16}, vf${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 vz = _mm512_castsi512_ps(_mm512_or_epi32(_mm512_castps_si512(vx), vsign_mask)); const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vz, vlog2e), 0); $if RR_STEPS == 1: __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2, vz); $else: __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vz); vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt); __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4); vp = _mm512_fmadd_ps(vp, vt, vc3); vp = _mm512_fmadd_ps(vp, vt, vc2); vp = _mm512_fmadd_ps(vp, vt, vc1); vp = _mm512_fmadd_ps(vp, vt, vone); const __m512 ve = _mm512_scalef_ps(vp, vn); const __m512 vd = _mm512_add_ps(ve, vone); $if DIV_ALGO == "div": __m512 vf = _mm512_div_ps(ve, vd); $else: __m512 vr = _mm512_rcp14_ps(vd); vr = _mm512_fmadd_ps(_mm512_fnmadd_ps(vr, vd, vone), vr, vr); __m512 vf = _mm512_mul_ps(ve, vr); $if DIV_ALGO == "nr1fma1adj": vf = _mm512_fmadd_ps(_mm512_fnmadd_ps(vf, vd, ve), vr, vf); vf = _mm512_mask_sub_ps(vf, _mm512_testn_epi32_mask(_mm512_castps_si512(vx), vsign_mask), vone, vf); _mm512_storeu_ps(y, vf); 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 vz = _mm512_castsi512_ps(_mm512_or_epi32(_mm512_castps_si512(vx), vsign_mask)); const __m512 vn = _mm512_roundscale_ps(_mm512_mul_ps(vz, vlog2e), 0); $if RR_STEPS == 1: __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2, vz); $else: __m512 vt = _mm512_fmadd_ps(vn, vminus_ln2_hi, vz); vt = _mm512_fmadd_ps(vn, vminus_ln2_lo, vt); __m512 vp = _mm512_fmadd_ps(vc5, vt, vc4); vp = _mm512_fmadd_ps(vp, vt, vc3); vp = _mm512_fmadd_ps(vp, vt, vc2); vp = _mm512_fmadd_ps(vp, vt, vc1); vp = _mm512_fmadd_ps(vp, vt, vone); const __m512 ve = _mm512_scalef_ps(vp, vn); const __m512 vd = _mm512_add_ps(ve, vone); $if DIV_ALGO == "div": __m512 vf = _mm512_div_ps(ve, vd); $else: __m512 vr = _mm512_rcp14_ps(vd); vr = _mm512_fmadd_ps(_mm512_fnmadd_ps(vr, vd, vone), vr, vr); __m512 vf = _mm512_mul_ps(ve, vr); $if DIV_ALGO == "nr1fma1adj": vf = _mm512_fmadd_ps(_mm512_fnmadd_ps(vf, vd, ve), vr, vf); vf = _mm512_mask_sub_ps(vf, _mm512_testn_epi32_mask(_mm512_castps_si512(vx), vsign_mask), vone, vf); _mm512_mask_storeu_ps(y, vmask, vf); } }