onednn-src 0.1.13

/*******************************************************************************
* Copyright 2020 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/ocl/hw_info.hpp"
#include "gpu/intel/ocl/utils.hpp"

#include "gpu/intel/jit/binary_format.hpp"
#include "gpu/intel/jit/generator.hpp"
#include "gpu/intel/jit/utils/type_bridge.hpp"

#ifndef CL_DEVICE_IP_VERSION_INTEL
#define CL_DEVICE_IP_VERSION_INTEL 0x4250
#endif

namespace dnnl {
namespace impl {
namespace gpu {
namespace intel {
namespace ocl {

xpu::runtime_version_t get_driver_version(cl_device_id device) {
    cl_int err;
    xpu::runtime_version_t runtime_version(-1, -1, -1);

    size_t param_size = 0;
    err = xpu::ocl::clGetDeviceInfo(
            device, CL_DRIVER_VERSION, 0, nullptr, &param_size);
    std::string driver_version(param_size, '\0');

    if (err == CL_SUCCESS) {
        err = xpu::ocl::clGetDeviceInfo(device, CL_DRIVER_VERSION, param_size,
                &driver_version[0], nullptr);
    }

    if (err != CL_SUCCESS
            || runtime_version.set_from_string(&driver_version[0])
                    != status::success) {
        runtime_version.major = 0;
        runtime_version.minor = 0;
        runtime_version.build = 0;
    }

    return runtime_version;
}

status_t init_gpu_hw_info(impl::engine_t *engine, cl_device_id device,
        cl_context ctx, uint32_t &ip_version, compute::gpu_arch_t &gpu_arch,
        compute::gpu_product_t &product_, uint64_t &native_extensions,
        bool &mayiuse_systolic, bool &mayiuse_ngen_kernels,
        bool &is_efficient_64bit) {
    using namespace ngen;
    ngen::Product product
            = ngen::OpenCLCodeGenerator<HW::Unknown>::detectHWInfo(ctx, device);
    HW hw = getCore(product.family);
    bool is_xelpg = (product.family == ngen::ProductFamily::ARL
            || product.family == ngen::ProductFamily::MTL);

    gpu_arch = jit::convert_ngen_arch_to_dnnl(ngen::getCore(product.family));
    std::memcpy(&product_, &product, sizeof(ngen::Product));

    mayiuse_systolic = false;
    CHECK(get_ocl_device_enabled_systolic_intel(device, mayiuse_systolic));
    CHECK(get_ocl_device_enabled_native_float_atomics(
            device, native_extensions, is_xelpg));

    if (hw <= ngen::HW::Xe3) {
        auto status = jit::gpu_supports_binary_format(
                &mayiuse_ngen_kernels, engine);
        if (status != status::success) {
            VWARN(common, runtime,
                    "ngen fallback (gpu does not support binary format "
                    "kernels)");
            mayiuse_ngen_kernels = false;
        }
    } else if (hw != ngen::HW::Unknown)
        mayiuse_ngen_kernels = true;

    is_efficient_64bit = OpenCLCodeGenerator<HW::Unknown>::detectEfficient64Bit(
            ctx, device, hw);

    ip_version = 0;
    OCL_CHECK(xpu::ocl::clGetDeviceInfo(device, CL_DEVICE_IP_VERSION_INTEL,
            sizeof(ip_version), &ip_version, nullptr));
    return status::success;
}

} // namespace ocl
} // namespace intel
} // namespace gpu
} // namespace impl
} // namespace dnnl