onednn-src 0.1.13

/*******************************************************************************
* 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_INTEL_JIT_PASS_STRENGTH_REDUCE_HPP
#define GPU_INTEL_JIT_PASS_STRENGTH_REDUCE_HPP

#include "gpu/intel/jit/ir/legacy.hpp"

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

// Detects and converts expensive expression operations inside a loop to less
// expensive operations. Example:
// Before:
//     for (int j = 0; j < N; j++) {
//         int off = off_i + j * K;
//         a[off] = j;
//     }
// After:
//     int off = off_i;
//     for (int j = 0; j < N; j++) {
//         a[off] = j;
//         off += K;
//     }
stmt_t loop_strength_reduce(const stmt_t &s, ir_context_t &ir_ctx);

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

#endif