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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_GENERIC_SYCL_SYCL_GPU_PRIMITIVE_HPP
#define GPU_GENERIC_SYCL_SYCL_GPU_PRIMITIVE_HPP
#include "common/primitive.hpp"
#include "xpu/sycl/memory_storage.hpp"
#include "gpu/generic/sycl/sycl_gpu_kernel.hpp"
namespace dnnl {
namespace impl {
namespace gpu {
namespace generic {
namespace sycl {
struct primitive_t : public impl::primitive_t {
using impl::primitive_t::primitive_t;
protected:
status_t create_kernel(
impl::engine_t *engine, ::sycl::kernel_id kid, kernel_t *kernel) {
auto ctx = utils::downcast<const xpu::sycl::engine_impl_t *>(
engine->impl())
->context();
auto input_bundle
= ::sycl::get_kernel_bundle<::sycl::bundle_state::input>(
ctx, {kid});
auto exe_bundle = ::sycl::build(input_bundle);
(*kernel) = kernel_t(exe_bundle);
return status::success;
}
status_t parallel_for(const exec_ctx_t &ctx, const kernel_t &kernel,
const std::function<void(::sycl::handler &)> &cgf) const {
return kernel.parallel_for(*ctx.stream(), cgf);
}
};
} // namespace sycl
} // namespace generic
} // namespace gpu
} // namespace impl
} // namespace dnnl
#endif