onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2023 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_CONV_JIT_PLAN_UTILS_HPP
#define GPU_INTEL_CONV_JIT_PLAN_UTILS_HPP

#include <string>

#include "gpu/intel/jit/ir/tensor.hpp"
#include "gpu/intel/jit/utils/utils.hpp"
#include "ngen.hpp"

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

using namespace intel::jit;

struct base_plan_t {
    base_plan_t(const dsl::hw_t hw = dsl::hw_t()) : hw(hw) {}

    int grf_size() const {
        gpu_assert(hw.ngen_hw() != ngen::HW::Unknown);
        return hw.grf_size();
    }

    dsl::hw_t hw;
};

inline std::string add_indent(const std::string &tag, const std::string &s) {
    ostringstream_t oss;
    oss << tag << ":" << std::endl;
    oss << ir_utils::add_indent(s, "  ");
    return oss.str();
}

inline layout_t split(const layout_t &layout, int factor) {
    auto tile_coord = split_exact(layout, factor);
    if (tile_coord.is_invalid()) return layout_t();
    return layout.sub(tile_coord.tile, tile_coord.coord);
}

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

#endif