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_SYCL_INTEROP_KERNEL_HPP
#define GPU_INTEL_SYCL_INTEROP_KERNEL_HPP

#include <string>

#include "gpu/intel/sycl/utils.hpp"

namespace dnnl {
namespace impl {
namespace gpu {
namespace intel {
namespace sycl {

class interop_kernel_t : public gpu::intel::compute::kernel_impl_t {
public:
    const ::sycl::kernel &sycl_kernel() const { return sycl_kernel_; }

    status_t parallel_for(impl::stream_t &stream,
            const gpu::intel::compute::nd_range_t &range,
            const gpu::intel::compute::kernel_arg_list_t &arg_list,
            const xpu::event_t &deps, xpu::event_t &out_dep) override;

    const std::vector<gpu::intel::compute::scalar_type_t> &
    arg_types() const override {
        return arg_types_;
    }

    status_t get_kernel_binary(xpu::binary_t &binary) const override;
    status_t dump() const override;
    std::string name() const override {
        return sycl_kernel_.get_info<::sycl::info::kernel::function_name>();
    }
    const compute::program_src_t &src() const { return src_; }
    status_t check_alignment(
            const compute::kernel_arg_list_t &arg_list) const override;

    static status_t make(compute::kernel_t &compute_kernel,
            const ::sycl::kernel &sycl_kernel,
            const gpu::intel::compute::program_src_t &src);

private:
    // See description in the class implementation.
    friend class interop_kernel_compat_t;

    interop_kernel_t(const ::sycl::kernel &sycl_kernel,
            const gpu::intel::compute::program_src_t &src)
        : sycl_kernel_(sycl_kernel), src_(src) {}

    ::sycl::kernel sycl_kernel_;
    std::vector<gpu::intel::compute::scalar_type_t> arg_types_;
    gpu::intel::compute::program_src_t src_;
};

} // namespace sycl
} // namespace intel
} // namespace gpu
} // namespace impl
} // namespace dnnl

#endif // GPU_INTEL_SYCL_INTEROP_KERNEL_HPP