onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation 
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/*******************************************************************************
* Copyright 2022 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_JIT_IR_ELTWISE_HPP
#define GPU_INTEL_JIT_IR_ELTWISE_HPP

#include <string>
#include <vector>

#include "gpu/intel/jit/ir/legacy.hpp"
#include "gpu/intel/jit/utils/utils.hpp"

namespace dnnl {
namespace impl {
namespace gpu {
namespace intel {
namespace jit {

class eltwise_t : public func_impl_t, public object::info_t<eltwise_t> {
public:
    static func_t make(alg_kind_t alg_kind, float scale, float alpha,
            float beta, expr_t &seed, ngen::DataType dst_dt) {
        return func_t(
                new eltwise_t(alg_kind, scale, alpha, beta, seed, dst_dt));
    }
    static func_t make(
            alg_kind_t alg_kind, float scale, float alpha, float beta) {
        return func_t(new eltwise_t(alg_kind, scale, alpha, beta));
    }

    std::string str() const override {
        switch (static_cast<int>(alg_kind)) {
            case alg_kind::eltwise_relu: return "relu";
            case alg_kind::eltwise_tanh: return "tanh";
            case alg_kind::eltwise_elu: return "elu";
            case alg_kind::eltwise_square: return "square";
            case alg_kind::eltwise_abs: return "abs";
            case alg_kind::eltwise_sqrt: return "sqrt";
            case alg_kind::eltwise_swish: return "swish";
            case alg_kind::eltwise_linear: return "linear";
            case alg_kind::eltwise_soft_relu: return "soft_relu";
            case alg_kind::eltwise_logistic: return "logistic";
            case alg_kind::eltwise_mish: return "mish";
            case alg_kind::eltwise_exp: return "exp";
            case alg_kind::eltwise_log: return "log";
            case alg_kind::eltwise_clip: return "clip";
            case alg_kind::eltwise_clip_v2: return "clip_v2";
            case alg_kind::eltwise_pow: return "pow";
            case alg_kind::eltwise_gelu_tanh: return "gelu_tanh";
            case alg_kind::eltwise_gelu_erf: return "gelu_erf";
            case alg_kind::eltwise_hardswish: return "hardswish";
            case alg_kind::eltwise_hardsigmoid: return "hardsigmoid";
            case alg_kind::eltwise_relu_use_dst_for_bwd:
                return "relu_use_dst_for_bwd";
            case alg_kind::eltwise_tanh_use_dst_for_bwd:
                return "tanh_use_dst_for_bwd";
            case alg_kind::eltwise_elu_use_dst_for_bwd:
                return "elu_use_dst_for_bwd";
            case alg_kind::eltwise_sqrt_use_dst_for_bwd:
                return "sqrt_use_dst_for_bwd";
            case alg_kind::eltwise_logistic_use_dst_for_bwd:
                return "logistic_use_dst_for_bwd";
            case alg_kind::eltwise_exp_use_dst_for_bwd:
                return "exp_use_dst_for_bwd";
            case alg_kind::eltwise_clip_v2_use_dst_for_bwd:
                return "clip_v2_use_dst_for_bwd";
            case alg_kind::eltwise_round: return "round";
            // Note: `eltwise_stochastic_round` is not a part of `enum` which
            // forces `switch` to iterate over `int`, not `alg_kind_t`.
            case alg_kind::eltwise_stochastic_round: return "stochastic_round";
            case alg_kind::eltwise_mx_scale: return "mx_scale";
            default: gpu_error_not_expected();
        }
        return "unknown";
    }

    IR_DEFINE_ARG_GET(elems, 0)
    IR_DEFINE_ARG_GET(data, 1)

    alg_kind_t alg_kind;
    float scale;
    float alpha;
    float beta;
    expr_t seed;
    ngen::DataType dst_dt = ngen::DataType::invalid;

private:
    eltwise_t(alg_kind_t alg_kind, float scale, float alpha, float beta,
            expr_t &seed, ngen::DataType dst_dt)
        : func_impl_t(get_info())
        , alg_kind(alg_kind)
        , scale(scale)
        , alpha(alpha)
        , beta(beta)
        , seed(seed)
        , dst_dt(dst_dt) {
        assert(utils::one_of(alg_kind, alg_kind::eltwise_stochastic_round,
                alg_kind::eltwise_mx_scale));
    }

    eltwise_t(alg_kind_t alg_kind, float scale, float alpha, float beta)
        : func_impl_t(get_info())
        , alg_kind(alg_kind)
        , scale(scale)
        , alpha(alpha)
        , beta(beta) {
        assert(!utils::one_of(alg_kind, alg_kind::eltwise_stochastic_round,
                alg_kind::eltwise_mx_scale));
    }
};

} // namespace jit
} // namespace intel
} // namespace gpu
} // namespace impl
} // namespace dnnl

#endif