onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation 
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/*******************************************************************************
* Copyright 2025 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.
*******************************************************************************/
#ifndef GPU_INTEL_INCLUDE_DNNL_INTEROP_H
#define GPU_INTEL_INCLUDE_DNNL_INTEROP_H

// Intended for use in both OpenCL C and C++ code. This is largely intended to
// enable validation of the portion of the oneDNN C API that is required within
// OpenCL kernels.

#ifndef __OPENCL_VERSION__
namespace {
#endif

enum dnnl_ocl_alg_kind_t {
    // Eltwise algorithm kinds
    eltwise_relu = 0x20,
    eltwise_tanh = 0x21,
    eltwise_elu = 0x22,
    eltwise_square = 0x23,
    eltwise_abs = 0x24,
    eltwise_sqrt = 0x25,
    eltwise_linear = 0x26,
    eltwise_soft_relu = 0x27,
    eltwise_hardsigmoid = 0x28,
    eltwise_logistic = 0x29,
    eltwise_exp = 0x2a,
    eltwise_gelu_tanh = 0x2b,
    eltwise_swish = 0x2c,
    eltwise_log = 0x2d,
    eltwise_clip = 0x2e,
    eltwise_clip_v2 = 0x2f,
    eltwise_pow = 0x30,
    eltwise_gelu_erf = 0x31,
    eltwise_round = 0x32,
    eltwise_mish = 0x33,
    eltwise_hardswish = 0x34,

    eltwise_relu_dst = 0x100,
    eltwise_tanh_dst = 0x101,
    eltwise_elu_dst = 0x102,
    eltwise_sqrt_dst = 0x103,
    eltwise_logistic_dst = 0x104,
    eltwise_exp_dst = 0x105,
    eltwise_clip_v2_dst = 0x106,

    // Binary alg kinds
    binary_add = 0x1fff0,
    binary_mul = 0x1fff1,
    binary_max = 0x1fff2,
    binary_min = 0x1fff3,
    binary_div = 0x1fff4,
    binary_sub = 0x1fff5,
    binary_ge = 0x1fff6,
    binary_gt = 0x1fff7,
    binary_le = 0x1fff8,
    binary_lt = 0x1fff9,
    binary_eq = 0x1fffa,
    binary_ne = 0x1fffb,
    binary_select = 0x1fffc,
};

#ifndef __OPENCL_VERSION__
#include "dnnl_types.h"

// Eltwise algorithm kinds
static_assert((int)eltwise_relu == dnnl_eltwise_relu, "dnnl API mismatch");
static_assert((int)eltwise_tanh == dnnl_eltwise_tanh, "dnnl API mismatch");
static_assert((int)eltwise_elu == dnnl_eltwise_elu, "dnnl API mismatch");
static_assert((int)eltwise_square == dnnl_eltwise_square, "dnnl API mismatch");
static_assert((int)eltwise_abs == dnnl_eltwise_abs, "dnnl API mismatch");
static_assert((int)eltwise_sqrt == dnnl_eltwise_sqrt, "dnnl API mismatch");
static_assert((int)eltwise_linear == dnnl_eltwise_linear, "dnnl API mismatch");
static_assert(
        (int)eltwise_soft_relu == dnnl_eltwise_soft_relu, "dnnl API mismatch");
static_assert((int)eltwise_hardsigmoid == dnnl_eltwise_hardsigmoid,
        "dnnl API mismatch");
static_assert(
        (int)eltwise_logistic == dnnl_eltwise_logistic, "dnnl API mismatch");
static_assert((int)eltwise_exp == dnnl_eltwise_exp, "dnnl API mismatch");
static_assert(
        (int)eltwise_gelu_tanh == dnnl_eltwise_gelu_tanh, "dnnl API mismatch");
static_assert((int)eltwise_swish == dnnl_eltwise_swish, "dnnl API mismatch");
static_assert((int)eltwise_log == dnnl_eltwise_log, "dnnl API mismatch");
static_assert((int)eltwise_clip == dnnl_eltwise_clip, "dnnl API mismatch");
static_assert(
        (int)eltwise_clip_v2 == dnnl_eltwise_clip_v2, "dnnl API mismatch");
static_assert((int)eltwise_pow == dnnl_eltwise_pow, "dnnl API mismatch");
static_assert(
        (int)eltwise_gelu_erf == dnnl_eltwise_gelu_erf, "dnnl API mismatch");
static_assert((int)eltwise_round == dnnl_eltwise_round, "dnnl API mismatch");
static_assert((int)eltwise_mish == dnnl_eltwise_mish, "dnnl API mismatch");
static_assert(
        (int)eltwise_hardswish == dnnl_eltwise_hardswish, "dnnl API mismatch");

static_assert((int)eltwise_relu_dst == dnnl_eltwise_relu_use_dst_for_bwd,
        "dnnl API mismatch");
static_assert((int)eltwise_tanh_dst == dnnl_eltwise_tanh_use_dst_for_bwd,
        "dnnl API mismatch");
static_assert((int)eltwise_elu_dst == dnnl_eltwise_elu_use_dst_for_bwd,
        "dnnl API mismatch");
static_assert((int)eltwise_sqrt_dst == dnnl_eltwise_sqrt_use_dst_for_bwd,
        "dnnl API mismatch");
static_assert(
        (int)eltwise_logistic_dst == dnnl_eltwise_logistic_use_dst_for_bwd,
        "dnnl API mismatch");
static_assert((int)eltwise_exp_dst == dnnl_eltwise_exp_use_dst_for_bwd,
        "dnnl API mismatch");
static_assert((int)eltwise_clip_v2_dst == dnnl_eltwise_clip_v2_use_dst_for_bwd,
        "dnnl API mismatch");

// Binary algorithm kinds
static_assert((int)binary_add == dnnl_binary_add, "dnnl API mismatch");
static_assert((int)binary_mul == dnnl_binary_mul, "dnnl API mismatch");
static_assert((int)binary_max == dnnl_binary_max, "dnnl API mismatch");
static_assert((int)binary_min == dnnl_binary_min, "dnnl API mismatch");
static_assert((int)binary_div == dnnl_binary_div, "dnnl API mismatch");
static_assert((int)binary_sub == dnnl_binary_sub, "dnnl API mismatch");
static_assert((int)binary_ge == dnnl_binary_ge, "dnnl API mismatch");
static_assert((int)binary_gt == dnnl_binary_gt, "dnnl API mismatch");
static_assert((int)binary_le == dnnl_binary_le, "dnnl API mismatch");
static_assert((int)binary_lt == dnnl_binary_lt, "dnnl API mismatch");
static_assert((int)binary_eq == dnnl_binary_eq, "dnnl API mismatch");
static_assert((int)binary_ne == dnnl_binary_ne, "dnnl API mismatch");
static_assert((int)binary_select == dnnl_binary_select, "dnnl API mismatch");

#endif

#ifndef __OPENCL_VERSION__
}
#endif

#endif