| // 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 % 8 == 0 |
| $assert BATCH_TILE >= 8 |
| $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" |
| $assert OP in ["ABS", "NEG", "SQR"] |
| #include <assert.h> |
| |
| #include <immintrin.h> |
| |
| #include <xnnpack/common.h> |
| #include <xnnpack/vunary.h> |
| |
| |
| $_MM256_OP_PS = { |
| $ "ABS": lambda x: "_mm256_and_ps(%s, vnonsign_mask)" % x, |
| $ "NEG": lambda x: "_mm256_xor_ps(%s, vsign_mask)" % x, |
| $ "SQR": lambda x: "_mm256_mul_ps(%s, %s)" % (x, x), |
| $}[OP] |
| $PARAMS = { |
| $ "ABS": "xnn_f32_abs_params", |
| $ "NEG": "xnn_f32_neg_params", |
| $ "SQR": "xnn_f32_default_params", |
| $}[OP] |
| void xnn_f32_v${OP.lower()}_ukernel__avx_x${BATCH_TILE}( |
| size_t n, |
| const float* x, |
| float* y, |
| const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)]) |
| { |
| assert(n != 0); |
| assert(n % sizeof(float) == 0); |
| assert(x != NULL); |
| assert(y != NULL); |
| |
| $if OP == "ABS": |
| const __m256 vnonsign_mask = _mm256_load_ps(params->avx.nonsign_mask); |
| $elif OP == "NEG": |
| const __m256 vsign_mask = _mm256_load_ps(params->sse.sign_mask); |
| for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) { |
| const __m256 vx${ABC[0:8]} = _mm256_loadu_ps(x); |
| $for N in range(8, BATCH_TILE, 8): |
| const __m256 vx${ABC[N:N+8]} = _mm256_loadu_ps(x + ${N}); |
| x += ${BATCH_TILE}; |
| |
| $for N in range(0, BATCH_TILE, 8): |
| const __m256 vy${ABC[N:N+8]} = ${_MM256_OP_PS("vx" + ABC[N:N+8])}; |
| |
| _mm256_storeu_ps(y, vy${ABC[0:8]}); |
| $for N in range(8, BATCH_TILE, 8): |
| _mm256_storeu_ps(y + ${N}, vy${ABC[N:N+8]}); |
| y += ${BATCH_TILE}; |
| } |
| $if BATCH_TILE > 8: |
| for (; n >= 8 * sizeof(float); n -= 8 * sizeof(float)) { |
| const __m256 vx = _mm256_loadu_ps(x); |
| x += 8; |
| const __m256 vy = ${_MM256_OP_PS("vx")}; |
| _mm256_storeu_ps(y, vy); |
| y += 8; |
| } |
| if XNN_UNLIKELY(n != 0) { |
| assert(n >= 1 * sizeof(float)); |
| assert(n <= 7 * sizeof(float)); |
| const __m256i vmask = _mm256_loadu_si256((const __m256i*) ((uintptr_t) ¶ms->avx.mask_table[7] - n)); |
| |
| const __m256 vx = _mm256_maskload_ps(x, vmask); |
| const __m256 vy = ${_MM256_OP_PS("vx")}; |
| |
| __m128 vy_lo = _mm256_castps256_ps128(vy); |
| if (n & (4 * sizeof(float))) { |
| _mm_storeu_ps(y, vy_lo); |
| vy_lo = _mm256_extractf128_ps(vy, 1); |
| y += 4; |
| } |
| if (n & (2 * sizeof(float))) { |
| _mm_storel_pi((__m64*) y, vy_lo); |
| vy_lo = _mm_movehl_ps(vy_lo, vy_lo); |
| y += 2; |
| } |
| if (n & (1 * sizeof(float))) { |
| _mm_store_ss(y, vy_lo); |
| } |
| } |
| } |