| // Copyright 2019 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 |
| $ABC = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ" |
| $assert OP in ["ADD", "DIV", "RDIV", "MAX", "MIN", "MUL", "SUB", "RSUB", "SQRDIFF"] |
| $assert ACTIVATION in ["LINEAR", "MINMAX"] |
| #include <assert.h> |
| |
| #include <immintrin.h> |
| |
| #include <xnnpack/common.h> |
| #include <xnnpack/intrinsics-polyfill.h> |
| #include <xnnpack/vbinary.h> |
| |
| |
| $_MM512_OP_PS = { |
| $ "ADD": lambda x: "_mm512_add_ps(%s, vb)" % x, |
| $ "DIV": lambda x: "_mm512_div_ps(%s, vb)" % x, |
| $ "RDIV": lambda x: "_mm512_div_ps(vb, %s)" % x, |
| $ "MAX": lambda x: "_mm512_max_ps(%s, vb)" % x, |
| $ "MIN": lambda x: "_mm512_min_ps(%s, vb)" % x, |
| $ "MUL": lambda x: "_mm512_mul_ps(%s, vb)" % x, |
| $ "SUB": lambda x: "_mm512_sub_ps(%s, vb)" % x, |
| $ "RSUB": lambda x: "_mm512_sub_ps(vb, %s)" % x, |
| $ "SQRDIFF": lambda x: "_mm512_sub_ps(%s, vb)" % x, |
| $}[OP] |
| $SUFFIX = {"LINEAR": "", "MINMAX": "_minmax"}[ACTIVATION] |
| $PARAMS = {"LINEAR": "xnn_f32_default_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION] |
| void xnn_f32_v${OP.lower()}c${SUFFIX}_ukernel__avx512f_x${BATCH_TILE}( |
| size_t n, |
| const float* a, |
| const float* b, |
| float* y, |
| const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)]) |
| { |
| assert(n != 0); |
| assert(n % sizeof(float) == 0); |
| assert(a != NULL); |
| assert(b != NULL); |
| assert(y != NULL); |
| |
| $if ACTIVATION == "MINMAX": |
| const __m512 vy_min = _mm512_broadcast_f32x4(_mm_load_ps(params->sse.min)); |
| const __m512 vy_max = _mm512_broadcast_f32x4(_mm_load_ps(params->sse.max)); |
| |
| const __m512 vb = _mm512_set1_ps(*b); |
| for (; n >= ${BATCH_TILE} * sizeof(float); n -= ${BATCH_TILE} * sizeof(float)) { |
| const __m512 va${ABC[0:16]} = _mm512_loadu_ps(a); |
| $for N in range(16, BATCH_TILE, 16): |
| const __m512 va${ABC[N:N+16]} = _mm512_loadu_ps(a + ${N}); |
| a += ${BATCH_TILE}; |
| |
| $for N in range(0, BATCH_TILE, 16): |
| __m512 vy${ABC[N:N+16]} = ${_MM512_OP_PS("va" + ABC[N:N+16])}; |
| |
| $if OP == "SQRDIFF": |
| $for N in range(0, BATCH_TILE, 16): |
| vy${ABC[N:N+16]} = _mm512_mul_ps(vy${ABC[N:N+16]}, vy${ABC[N:N+16]}); |
| |
| $if ACTIVATION == "MINMAX": |
| $for N in range(0, BATCH_TILE, 16): |
| vy${ABC[N:N+16]} = _mm512_max_ps(vy${ABC[N:N+16]}, vy_min); |
| |
| $for N in range(0, BATCH_TILE, 16): |
| vy${ABC[N:N+16]} = _mm512_min_ps(vy${ABC[N:N+16]}, vy_max); |
| |
| _mm512_storeu_ps(y, vy${ABC[0:16]}); |
| $for N in range(16, BATCH_TILE, 16): |
| _mm512_storeu_ps(y + ${N}, vy${ABC[N:N+16]}); |
| y += ${BATCH_TILE}; |
| } |
| $if BATCH_TILE > 16: |
| for (; n >= 16 * sizeof(float); n -= 16 * sizeof(float)) { |
| const __m512 va = _mm512_loadu_ps(a); |
| a += 16; |
| |
| __m512 vy = ${_MM512_OP_PS("va")}; |
| $if OP == "SQRDIFF": |
| vy = _mm512_mul_ps(vy, vy); |
| $if ACTIVATION == "MINMAX": |
| vy = _mm512_max_ps(vy, vy_min); |
| vy = _mm512_min_ps(vy, vy_max); |
| _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 va = _mm512_maskz_loadu_ps(vmask, a); |
| |
| __m512 vy = ${_MM512_OP_PS("va")}; |
| $if OP == "SQRDIFF": |
| vy = _mm512_mul_ps(vy, vy); |
| $if ACTIVATION == "MINMAX": |
| vy = _mm512_max_ps(vy, vy_min); |
| vy = _mm512_min_ps(vy, vy_max); |
| _mm512_mask_storeu_ps(y, vmask, vy); |
| } |
| } |