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$assert BATCH_TILE % 8 == 0 |
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$assert BATCH_TILE >= 8 |
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$SIMD_TILE = BATCH_TILE |
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$ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" |
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#include <assert.h> |
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#include <immintrin.h> |
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#include <xnnpack/intrinsics-polyfill.h> |
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#include <xnnpack/raddstoreexpminusmax.h> |
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void xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x${BATCH_TILE}${"" if ACCUMULATORS == 1 else "_acc%d" % ACCUMULATORS}( |
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size_t batch, |
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const void* input, |
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const void* max, |
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void* output, |
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void* sum, |
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const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS |
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{ |
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assert(batch != 0); |
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assert(batch % sizeof(uint16_t) == 0); |
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assert(input != NULL); |
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assert(max != NULL); |
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assert(output != NULL); |
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assert(sum != NULL); |
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const __m256 vi_max = _mm256_cvtph_ps(_mm_set1_epi16((short) *((const uint16_t*) max))); |
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const __m256 vlog2e = _mm256_load_ps(params->avx2_rr1_p2.log2e); |
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const __m256 vmagic_bias = _mm256_load_ps(params->avx2_rr1_p2.magic_bias); |
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const __m256 vminus_ln2 = _mm256_load_ps(params->avx2_rr1_p2.minus_ln2); |
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const __m256 vc2 = _mm256_load_ps(params->avx2_rr1_p2.c2); |
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const __m256 vc1 = _mm256_load_ps(params->avx2_rr1_p2.c1); |
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const __m256 vdenorm_cutoff = _mm256_load_ps(params->avx2_rr1_p2.denorm_cutoff); |
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const uint16_t* i = (const uint16_t*) input; |
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uint16_t* o = (uint16_t*) output; |
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$for K in range(ACCUMULATORS): |
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__m256 vacc${K} = _mm256_setzero_ps(); |
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for (; batch >= ${BATCH_TILE} * sizeof(uint16_t); batch -= ${BATCH_TILE} * sizeof(uint16_t)) { |
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const __m256 vi0 = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i)); |
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$for N in range(1, SIMD_TILE): |
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const __m256 vi${ABC[N]} = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) (i + ${N * 8}))); |
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i += ${BATCH_TILE}; |
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$for N in range(SIMD_TILE): |
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const __m256 vx${ABC[N]} = _mm256_sub_ps(vi${ABC[N]}, vi_max); |
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$for N in range(SIMD_TILE): |
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__m256 vn${ABC[N]} = _mm256_fmadd_ps(vx${ABC[N]}, vlog2e, vmagic_bias); |
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$for N in range(SIMD_TILE): |
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const __m256 vs${ABC[N]} = _mm256_castsi256_ps(_mm256_slli_epi32(_mm256_castps_si256(vn${ABC[N]}), 23)); |
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$for N in range(SIMD_TILE): |
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vn${ABC[N]} = _mm256_sub_ps(vn${ABC[N]}, vmagic_bias); |
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$for N in range(SIMD_TILE): |
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__m256 vt${ABC[N]} = _mm256_fmadd_ps(vn${ABC[N]}, vminus_ln2, vx${ABC[N]}); |
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$for N in range(SIMD_TILE): |
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const __m256 vp${ABC[N]} = _mm256_fmadd_ps(vc2, vt${ABC[N]}, vc1); |
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$for N in range(SIMD_TILE): |
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vt${ABC[N]} = _mm256_mul_ps(vt${ABC[N]}, vs${ABC[N]}); |
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$for N in range(SIMD_TILE): |
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__m256 vf${ABC[N]} = _mm256_fmadd_ps(vt${ABC[N]}, vp${ABC[N]}, vs${ABC[N]}); |
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$for N in range(SIMD_TILE): |
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vf${ABC[N]} = _mm256_andnot_ps(_mm256_cmp_ps(vx${ABC[N]}, vdenorm_cutoff, _CMP_LT_OS), vf${ABC[N]}); |
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_mm_storeu_si128((__m128i*) o, _mm256_cvtps_ph(vf0, _MM_FROUND_TO_NEAREST_INT)); |
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$for N in range(1, SIMD_TILE): |
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_mm_storeu_si128((__m128i*) (o + ${N * 8}), _mm256_cvtps_ph(vf${ABC[N]}, _MM_FROUND_TO_NEAREST_INT)); |
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o += ${BATCH_TILE}; |
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$for N in range(SIMD_TILE): |
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vacc${N % ACCUMULATORS} = _mm256_add_ps(vacc${N % ACCUMULATORS}, vf${ABC[N]}); |
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} |
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$if ACCUMULATORS > 1: |
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$ACC_SLICE = 1 |
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$while ACC_SLICE < ACCUMULATORS: |
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$for A in range(0, ACCUMULATORS, ACC_SLICE * 2): |
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$if A + ACC_SLICE < ACCUMULATORS: |
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vacc${A} = _mm256_add_ps(vacc${A}, vacc${A + ACC_SLICE}); |
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$ACC_SLICE *= 2 |
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__m256 vacc = vacc0; |
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for (; batch >= 8 * sizeof(uint16_t); batch -= 8 * sizeof(uint16_t)) { |
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const __m256 vi = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i)); |
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i += 8; |
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const __m256 vx = _mm256_sub_ps(vi, vi_max); |
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__m256 vn = _mm256_fmadd_ps(vx, vlog2e, vmagic_bias); |
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const __m256 vs = _mm256_castsi256_ps(_mm256_slli_epi32(_mm256_castps_si256(vn), 23)); |
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vn = _mm256_sub_ps(vn, vmagic_bias); |
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__m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vx); |
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const __m256 vp = _mm256_fmadd_ps(vc2, vt, vc1); |
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vt = _mm256_mul_ps(vt, vs); |
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__m256 vf = _mm256_fmadd_ps(vt, vp, vs); |
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vf = _mm256_andnot_ps(_mm256_cmp_ps(vx, vdenorm_cutoff, _CMP_LT_OS), vf); |
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_mm_storeu_si128((__m128i*) o, _mm256_cvtps_ph(vf, _MM_FROUND_TO_NEAREST_INT)); |
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o += 8; |
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vacc = _mm256_add_ps(vacc, vf); |
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} |
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__m128 vacc_lo = _mm_add_ps(_mm256_castps256_ps128(vacc), _mm256_extractf128_ps(vacc, 1)); |
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if (batch != 0) { |
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assert(batch >= 1 * sizeof(uint16_t)); |
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assert(batch <= 7 * sizeof(uint16_t)); |
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const __m256 vi = _mm256_cvtph_ps(_mm_loadu_si128((const __m128i*) i)); |
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const __m256 vx = _mm256_sub_ps(vi, vi_max); |
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__m256 vn = _mm256_fmadd_ps(vx, vlog2e, vmagic_bias); |
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const __m256 vs = _mm256_castsi256_ps(_mm256_slli_epi32(_mm256_castps_si256(vn), 23)); |
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vn = _mm256_sub_ps(vn, vmagic_bias); |
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__m256 vt = _mm256_fmadd_ps(vn, vminus_ln2, vx); |
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const __m256 vp = _mm256_fmadd_ps(vc2, vt, vc1); |
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vt = _mm256_mul_ps(vt, vs); |
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__m256 vf = _mm256_fmadd_ps(vt, vp, vs); |
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vf = _mm256_andnot_ps(_mm256_cmp_ps(vx, vdenorm_cutoff, _CMP_LT_OS), vf); |
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__m128i vh = _mm256_cvtps_ph(vf, _MM_FROUND_TO_NEAREST_INT); |
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__m128 vf_lo = _mm256_castps256_ps128(vf); |
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if (batch & (4 * sizeof(uint16_t))) { |
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_mm_storel_epi64((__m128i*) o, vh); |
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vh = _mm_unpackhi_epi64(vh, vh); |
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vacc_lo = _mm_add_ps(vacc_lo, vf_lo); |
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vf_lo = _mm256_extractf128_ps(vf, 1); |
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o += 4; |
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} |
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if (batch & (2 * sizeof(uint16_t))) { |
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_mm_storeu_si32(o, vh); |
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vh = _mm_srli_epi64(vh, 32); |
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vacc_lo = _mm_blend_ps(_mm_add_ps(vacc_lo, vf_lo), vacc_lo, 0xC); |
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vf_lo = _mm_movehl_ps(vf_lo, vf_lo); |
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o += 2; |
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} |
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if (batch & (1 * sizeof(uint16_t))) { |
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*o = (uint16_t) _mm_extract_epi16(vh, 0); |
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vacc_lo = _mm_add_ss(vacc_lo, vf_lo); |
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} |
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} |
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vacc_lo = _mm_add_ps(vacc_lo, _mm_movehl_ps(vacc_lo, vacc_lo)); |
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vacc_lo = _mm_add_ss(vacc_lo, _mm_movehdup_ps(vacc_lo)); |
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*((uint16_t*) sum) = (uint16_t) _mm_extract_epi16(_mm_cvtps_ph(vacc_lo, _MM_FROUND_TO_NEAREST_INT), 0); |
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_mm256_zeroupper(); |
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} |
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