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/*******************************************************************************
* Copyright 2016-2018 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 "type_helpers.hpp"
#include "utils.hpp"
using namespace mkldnn::impl;
using namespace mkldnn::impl::utils;
using namespace mkldnn::impl::status;
using namespace mkldnn::impl::prop_kind;
using namespace mkldnn::impl::alg_kind;
using namespace mkldnn::impl::types;
namespace {
status_t eltwise_desc_init(eltwise_desc_t *eltwise_desc, prop_kind_t prop_kind,
alg_kind_t alg_kind, const memory_desc_t *data_desc,
const memory_desc_t *diff_data_desc, float alpha, float beta) {
bool args_ok = true
&& !any_null(eltwise_desc, data_desc)
&& one_of(prop_kind, forward_training, forward_inference,
backward_data)
&& one_of(alg_kind, eltwise_relu, eltwise_tanh, eltwise_elu,
eltwise_square, eltwise_abs, eltwise_sqrt, eltwise_linear,
eltwise_bounded_relu, eltwise_soft_relu, eltwise_logistic,
eltwise_clamp)
&& IMPLICATION(prop_kind == backward_data, diff_data_desc != nullptr);
if (!args_ok) return invalid_arguments;
auto ed = eltwise_desc_t();
ed.primitive_kind = primitive_kind::eltwise;
ed.prop_kind = prop_kind;
ed.alg_kind = alg_kind;
ed.data_desc = *data_desc;
ed.diff_data_desc =
(ed.prop_kind == backward_data) ? *diff_data_desc : zero_md();
ed.alpha = alpha;
ed.beta = beta;
ed.negative_slope = ed.alpha;
bool consistency = true
&& IMPLICATION(ed.prop_kind == backward_data,
array_cmp(ed.diff_data_desc.dims, ed.data_desc.dims,
ed.diff_data_desc.ndims));
if (!consistency) return invalid_arguments;
*eltwise_desc = ed;
return success;
}
}
status_t mkldnn_eltwise_forward_desc_init(eltwise_desc_t *eltwise_desc,
prop_kind_t prop_kind, alg_kind_t alg_kind,
const memory_desc_t *data_desc, float alpha, float beta) {
if (!one_of(prop_kind, forward_training, forward_inference))
return invalid_arguments;
return eltwise_desc_init(eltwise_desc, prop_kind, alg_kind, data_desc,
nullptr, alpha, beta);
}
status_t mkldnn_eltwise_backward_desc_init(eltwise_desc_t *eltwise_desc,
alg_kind_t alg_kind, const memory_desc_t *diff_data_desc,
const memory_desc_t *data_desc, float alpha, float beta) {
return eltwise_desc_init(eltwise_desc, backward_data, alg_kind, data_desc,
diff_data_desc, alpha, beta);
}
status_t mkldnn_relu_forward_desc_init(eltwise_desc_t *relu_desc,
prop_kind_t prop_kind, const memory_desc_t *data_desc,
float negative_slope) {
return mkldnn_eltwise_forward_desc_init(relu_desc, prop_kind, eltwise_relu,
data_desc, negative_slope, 0.);
}
status_t mkldnn_relu_backward_desc_init(eltwise_desc_t *relu_desc,
const memory_desc_t *diff_data_desc, const memory_desc_t *data_desc,
float negative_slope) {
return mkldnn_eltwise_backward_desc_init(relu_desc, eltwise_relu,
diff_data_desc, data_desc, negative_slope, 0.);
}
// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
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