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/*******************************************************************************
* Copyright 2018 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 <assert.h>
#include "mkldnn.h"
#include "c_types_map.hpp"
#include "engine.hpp"
#include "type_helpers.hpp"
#include "utils.hpp"
#include "sum_pd.hpp"
using namespace mkldnn::impl;
using namespace mkldnn::impl::utils;
using namespace mkldnn::impl::status;
status_t mkldnn_sum_primitive_desc_create(primitive_desc_t **sum_pd,
const memory_desc_t *dst_md, int n, const float *scales,
const memory_desc_t *src_mds, const primitive_attr_t *attr,
engine_t *engine) {
bool args_ok = !any_null(sum_pd, src_mds, scales) && n > 0;
if (!args_ok) return invalid_arguments;
const primitive_attr_t dummy_attr;
if (attr == NULL)
attr = &dummy_attr;
const int ndims = src_mds[0].ndims;
const dims_t &dims = src_mds[0].dims;
const data_type_t dt = src_mds[0].data_type;
for (int i = 1; i < n; ++i) {
if (src_mds[i].ndims != ndims) return invalid_arguments;
for (int d = 0; d < ndims; ++d) {
if (src_mds[i].dims[d] != dims[d])
return invalid_arguments;
}
if (src_mds[i].data_type != dt) return invalid_arguments;
}
memory_desc_t dummy_dst_md;
if (dst_md) {
if (dst_md->ndims != ndims) return invalid_arguments;
for (int d = 0; d < ndims; ++d) {
if (dst_md->dims[d] != dims[d])
return invalid_arguments;
}
} else {
dummy_dst_md = src_mds[0];
dummy_dst_md.format_kind = format_kind::any;
dst_md = &dummy_dst_md;
}
auto s_pd = reinterpret_cast<sum_pd_t **>(sum_pd);
for (auto s = engine->get_sum_implementation_list(); *s; ++s) {
if ((*s)(s_pd, engine, attr, dst_md, n, scales, src_mds) == success) {
(*s_pd)->init_info();
(*s_pd)->init_scratchpad_md();
return success;
}
}
return unimplemented;
}
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