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/*******************************************************************************
* Copyright 2025 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 "graph/backend/dnnl/executables/sum.hpp"
namespace dnnl {
namespace impl {
namespace graph {
namespace dnnl_impl {
sum_executable_t::desc_t sum_executable_t::create_desc(
std::shared_ptr<op_t> &op, const dnnl::engine &p_engine,
pd_cache_t &pd_cache, const fpmath_t &fpmath, bool use_block_layout) {
if (pd_cache.find(op.get()) != pd_cache.end()) {
auto pd = graph::utils::any_cast<dnnl::sum::primitive_desc>(
pd_cache.at(op.get()));
return {pd, true};
}
std::vector<dnnl::memory::desc> src_descs;
src_descs.reserve(op->num_inputs());
for (const auto &in_val : op->get_input_values()) {
src_descs.emplace_back(
make_dnnl_memory_desc(in_val->get_logical_tensor()));
}
auto dst_desc = make_dnnl_memory_desc(
op->get_output_value(0)->get_logical_tensor());
// create default scales
std::vector<float> scales(op->num_inputs(), 1.f);
dnnl::sum::primitive_desc pd(p_engine, dst_desc, scales, src_descs);
pd_cache.insert({op.get(), pd});
return {pd, false};
}
arg_indices_t sum_executable_t::get_arg_indices(const op_t *op) {
return get_arg_indices_for_miso_op(op);
}
} // namespace dnnl_impl
} // namespace graph
} // namespace impl
} // namespace dnnl