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/*******************************************************************************
* Copyright 2017-2018 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.
*******************************************************************************/
#ifndef SIMPLE_SUM_HPP
#define SIMPLE_SUM_HPP
#include "cpu_sum_pd.hpp"
#include "cpu_primitive.hpp"
namespace mkldnn {
namespace impl {
namespace cpu {
template <data_type_t data_type>
struct simple_sum_t: public cpu_primitive_t {
struct pd_t: public cpu_sum_pd_t {
using cpu_sum_pd_t::cpu_sum_pd_t;
DECLARE_SUM_PD_T("simple:any", simple_sum_t);
status_t init() {
const int n = n_inputs();
bool ok = true
&& cpu_sum_pd_t::init() == status::success
&& n <= max_num_arrs;
if (!ok) return status::unimplemented;
const memory_desc_wrapper o_d(dst_md());
ok = ok
&& o_d.data_type() == data_type
&& o_d.is_dense();
if (!ok) return status::unimplemented;
for (int i = 0; i < n; ++i) {
const memory_desc_wrapper i_d(src_md(i));
if (i_d != o_d) return status::unimplemented;
}
return status::success;
}
};
simple_sum_t(const pd_t *apd): cpu_primitive_t(apd) {}
virtual status_t execute(const exec_ctx_t &ctx) const override;
enum {max_num_arrs = 16 };
typedef typename prec_traits<data_type>::type data_t;
private:
const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
};
}
}
}
#endif
// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
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