onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2021 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/

#include "gpu/intel/include/dispatch.h"
#include "gpu/intel/include/io.h"
#include "gpu/intel/include/math_utils.h"
#include "gpu/intel/include/philox.h"
#include "gpu/intel/include/post_ops.h"
#include "gpu/intel/include/types.h"

#undef SRC_OFF
#define SRC_OFF(x0, x1, x2, x3, x4, x5) OFF_MD(SRC, x0, x1, x2, x3, x4, x5)
#define BIAS_OFF(x0, x1, x2, x3, x4, x5) \
    OFF_MD(BIAS, (x0 % BIAS_PD0), (x1 % BIAS_PD1), (x2 % BIAS_PD2), \
            (x3 % BIAS_PD3), (x4 % BIAS_PD4), (x5 % BIAS_PD5))

__kernel void gemm_post_ops(__global SRC_DATA_T *src,
        __global BIAS_DATA_T *bias, __global DST_DATA_T *dst POST_OP_ARGS,
#if WITH_HOST_SRC_SCALE
        float a_scale_value,
#else
        global float *a_scales,
#endif
#if WITH_HOST_WEI_SCALE
        WEI_SCALES_DATA_T b_scale_value,
#else
        global WEI_SCALES_DATA_T *b_scales,
#endif
#if WITH_HOST_DST_SCALE
        DST_SCALES_DATA_T c_scale_value,
#else
        global DST_SCALES_DATA_T *c_scales,
#endif
        int scale_stride,
#if WITH_HOST_DST_ZP
        int dst_zp_value
#else
        global int *dst_zp
#endif
#if WITH_DROPOUT
        ,
        __global uchar *dropout_mask_buf,
#if DROPOUT_USE_HOST_SCALARS
        long dropout_seed, long dropout_offset, float dropout_p
#else
        __global long *dropout_seed_buf, __global long *dropout_offset_buf,
        __global float *dropout_p_buf
#endif
#endif
) {
#if WITH_HOST_SRC_SCALE
    float *a_scales = &a_scale_value;
#endif
#if WITH_HOST_WEI_SCALE
    WEI_SCALES_DATA_T *b_scales = &b_scale_value;
#endif
#if WITH_HOST_DST_SCALE
    DST_SCALES_DATA_T *c_scales = &c_scale_value;
#endif
#if WITH_HOST_DST_ZP
    int *dst_zp = &dst_zp_value;
#endif

    const uint d0 = GWS_GET_D0();
    const uint d1 = GWS_GET_D1();
    const uint d2 = GWS_GET_D2();
    const uint d3 = GWS_GET_D3();
    const uint d4 = GWS_GET_D4();
    const uint d5 = GWS_GET_D5();

    size_t data_idx = SRC_OFF(d0, d1, d2, d3, d4, d5);

    ACC_DATA_T acc = load(acc, src, data_idx);
    POST_OP_DATA_T accumulator = 0;
    if (d0 < DST_D0 && d1 < DST_D1 && d2 < DST_D2 && d3 < DST_D3 && d4 < DST_D4
            && d5 < DST_D5) {
        const float a_scale = A_SCALES ? a_scales[0] : 1;
        const uint b_scale_dim = (NDIMS == 2) ? d1
                : (NDIMS == 3)                ? d2
                : (NDIMS == 4)                ? d3
                : (NDIMS == 5)                ? d4
                                              : d5;
        float b_scale = 1;
        if (B_SCALES) load(&b_scale, b_scales + scale_stride * b_scale_dim);
        if (A_SCALES || B_SCALES) acc *= a_scale * b_scale;
        if (bias) {
            ACC_DATA_T b = load(b, bias, BIAS_OFF(d0, d1, d2, d3, d4, d5));
            acc += b;
        }

        // Apply postops
        POST_OP_DATA_T sum_src = WITH_SUM ? load(sum_src, dst, data_idx) : 0.0f;

        accumulator = AS_POST_OP_DATA_T(acc);
        APPLY_POST_OPS_SERIAL(accumulator, sum_src, d0, d1, d2, d3, d4, d5);
#if WITH_DYN_DST_SCALE == 0
        if (C_SCALES) {
            POST_OP_DATA_T c_scale = load(c_scale, c_scales);
            accumulator /= c_scale;
        }
#endif
        if (DST_ZERO_POINT) accumulator += dst_zp[0];
    }
#if WITH_DROPOUT
#if !DROPOUT_USE_HOST_SCALARS
    long dropout_seed = dropout_seed_buf[0];
    long dropout_offset = DROPOUT_USE_OFFSET ? dropout_offset_buf[0] : 0;
    float dropout_p = dropout_p_buf[0];
#endif
    uint dropout_threshold = get_dropout_threshold(dropout_p);
    float dropout_inv_q = (dropout_p != 1.f) ? 1.f / (1.f - dropout_p) : 0.f;
#if DROPOUT_USE_OFFSET
    uint res = philox_4x32_s64(
            data_idx, (ulong)dropout_seed, (ulong)dropout_offset);
#else
    uint res = philox_4x32((uint)data_idx, (uint)dropout_seed);
#endif
    uchar dropout = res > dropout_threshold;
    accumulator = (dropout) ? accumulator * dropout_inv_q : 0;
#if DROPOUT_HAS_OUTPUT_MASK
    dropout_mask_buf[data_idx] = dropout;
#endif
#endif
    write(dst + data_idx, accumulator);
}