onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2019 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_GENERATOR_HPP
#define GPU_INTEL_JIT_GENERATOR_HPP

#include <memory>

#include "ngen.hpp"
#include "ngen_emulation.hpp"

#include "common/impl_registration.hpp"
#include "common/nstl.hpp"
#include "gpu/intel/compute/device_info.hpp"
#include "gpu/intel/engine.hpp"
#include "gpu/intel/jit/generator_base.hpp"
#include "gpu/intel/jit/utils/utils.hpp"
#include "gpu/intel/primitive.hpp"
#include "xpu/utils.hpp"

#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_SYCL
#include "gpu/intel/sycl/engine.hpp"
#include "gpu/intel/sycl/interop_kernel.hpp"
#include "ngen_sycl.hpp"
#endif

#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
#include "gpu/intel/ocl/engine.hpp"
#include "gpu/intel/ocl/kernel.hpp"
#include "ngen_opencl.hpp"
#endif

#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_ZE
#include "gpu/intel/ze/engine.hpp"
#include "gpu/intel/ze/kernel.hpp"
#include "ngen_level_zero.hpp"
#endif

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

using gpu_gen_t = ngen::HW;
constexpr gpu_gen_t gpu_xe_lp = ngen::HW::XeLP;
constexpr gpu_gen_t gpu_xe_hp = ngen::HW::XeHP;
constexpr gpu_gen_t gpu_xe_hpg = ngen::HW::XeHPG;
constexpr gpu_gen_t gpu_xe_hpc = ngen::HW::XeHPC;
constexpr gpu_gen_t gpu_xe2 = ngen::HW::Xe2;
constexpr gpu_gen_t gpu_xe3 = ngen::HW::Xe3;
constexpr gpu_gen_t gpu_xe3p_35_10 = ngen::HW::XE3P_35_10;
constexpr gpu_gen_t gpu_xe3p_35_11 = ngen::HW::XE3P_35_11;
constexpr gpu_gen_t gpu_xe3p_35_unknown = ngen::HW::XE3P_UNKNOWN;

#if (!defined(NDEBUG) || defined(DNNL_DEV_MODE))
#define GENERATOR_NAME __FILE__
#define GENERATOR_LINE __LINE__
#else
#define GENERATOR_NAME "oneDNN"
#define GENERATOR_LINE 0
#endif

struct debug_config_t {
#ifdef DNNL_DEV_MODE
    static constexpr bool enable_debug_lines = true;
#else
    static constexpr bool enable_debug_lines = false;
#endif

    const char *name;
    uint32_t line;

    operator ngen::DebugConfig() const {
        return ngen::DebugConfig(name, line, enable_debug_lines);
    }
};

#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_SYCL
template <gpu_gen_t hw>
using ngen_code_generator_t = ngen::SYCLCodeGenerator<hw>;
#endif

#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
template <gpu_gen_t hw>
using ngen_code_generator_t = ngen::OpenCLCodeGenerator<hw>;
#endif

#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_ZE
template <gpu_gen_t hw>
using ngen_code_generator_t = ngen::LevelZeroCodeGenerator<hw>;
#endif

void check_kernel_size(const std::string &kernel_name, size_t kernel_size,
        const intel::engine_t *engine);

template <gpu_gen_t hw>
class generator_t : public ngen_code_generator_t<hw>, public generator_base_t {
public:
    generator_t(const ngen::DebugConfig &debug_config)
        : ngen_code_generator_t<hw>(0, debug_config) {}

    generator_t(
            const ngen::Product &product, const ngen::DebugConfig &debug_config)
        : ngen_code_generator_t<hw>(product, debug_config) {}

    generator_t(ngen_code_generator_t<hw> &&base)
        : ngen_code_generator_t<hw>(std::move(base)) {}

    const char *kernel_name() const override {
        return ngen_code_generator_t<hw>::getExternalName().c_str();
    }

    status_t get_kernel(
            compute::kernel_t &kernel, const intel::engine_t *engine) override {
        check_kernel_size(kernel_name(),
                ngen_code_generator_t<hw>::getRootStreamLength(), engine);
#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_SYCL
        auto *sycl_engine = utils::downcast<const sycl::engine_t *>(engine);
        auto sycl_kernel = ngen_code_generator_t<hw>::getKernel(
                sycl_engine->context(), sycl_engine->device());
        return sycl::interop_kernel_t::make(kernel, sycl_kernel, {});
#endif
#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_OCL
        auto *ocl_engine = utils::downcast<const ocl::engine_t *>(engine);
        auto ocl_kernel = ngen_code_generator_t<hw>::getKernel(
                ocl_engine->context(), ocl_engine->device());
        return ocl::kernel_t::make(kernel, ocl_kernel, {});
#endif
#if DNNL_GPU_RUNTIME == DNNL_RUNTIME_ZE
        auto *ze_engine = utils::downcast<const ze::engine_t *>(engine);
        auto ze_module_kernel = ngen_code_generator_t<hw>::getModuleAndKernel(
                ze_engine->context(), ze_engine->device());
        auto ze_module_ptr
                = std::make_shared<xpu::ze::wrapper_t<ze_module_handle_t>>(
                        ze_module_kernel.first);
        return ze::kernel_t::make(
                kernel, ze_module_ptr, ze_module_kernel.second, kernel_name());
#endif
    }
};

inline ngen::HW to_ngen_hw(const impl::engine_t *engine) {
    auto *intel_engine = utils::downcast<const intel::engine_t *>(engine);
    return intel_engine->device_info()->ngen_hw();
}

inline ngen::HW to_ngen_hw(const impl::engine_t &engine) {
    return to_ngen_hw(&engine);
}

template <class KernelT, typename... ArgsT>
compute::kernel_t make_kernel(primitive_t *primitive, bool register_kernel,
        impl::engine_t *engine, ArgsT &&...args) {
    using namespace compute;
    compute::kernel_t kernel;

    if (primitive->cache_blob()) {
        status_t status = primitive->create_kernel(
                engine, &kernel, nullptr, register_kernel);
        if (status != status::success) return compute::kernel_t();
        return kernel;
    }

    KernelT jit_kernel(std::forward<ArgsT>(args)...);
    status_t status = primitive->create_kernel(
            engine, &kernel, &jit_kernel, register_kernel);
    if (status != status::success) return compute::kernel_t();
    return kernel;
}

template <class KernelT, typename... ArgsT>
compute::kernel_t make_kernel(
        primitive_t *primitive, impl::engine_t *engine, ArgsT &&...args) {
    return make_kernel<KernelT>(primitive, /*register_kernel=*/true, engine,
            std::forward<ArgsT>(args)...);
}

template <template <ngen::HW> class KernelT, typename... ArgsT>
compute::kernel_t make_kernel(primitive_t *primitive, bool register_kernel,
        impl::engine_t *engine, ArgsT &&...args) {
#define GPU_HW_CASE(hw) \
    return make_kernel<KernelT<(hw)>>( \
            primitive, register_kernel, engine, std::forward<ArgsT>(args)...);

    GPU_HW_SWITCH(to_ngen_hw(engine))

#undef GPU_HW_CASE
    return compute::kernel_t();
}

template <template <ngen::HW> class KernelT, typename... ArgsT>
compute::kernel_t make_kernel(
        primitive_t *primitive, impl::engine_t *engine, ArgsT &&...args) {
    return make_kernel<KernelT>(primitive, /*register_kernel=*/true, engine,
            std::forward<ArgsT>(args)...);
}

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

#endif // GPU_INTEL_JIT_GENERATOR_HPP