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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 "memory_desc_wrapper.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 softmax_desc_init(softmax_desc_t *softmax_desc, prop_kind_t prop_kind,
const memory_desc_t *data_desc, const memory_desc_t *diff_desc, int softmax_axis) {
bool args_ok = true
&& !any_null(softmax_desc, data_desc)
&& 0 <= softmax_axis
&& softmax_axis < data_desc->ndims;
if (!args_ok) return invalid_arguments;
auto sd = softmax_desc_t();
sd.primitive_kind = primitive_kind::softmax;
sd.prop_kind = prop_kind;
bool is_bwd = (sd.prop_kind == backward_data);
sd.data_desc = *data_desc;
sd.diff_desc = is_bwd ? *diff_desc : zero_md();
sd.softmax_axis = softmax_axis;
*softmax_desc = sd;
return success;
}
}
status_t mkldnn_softmax_forward_desc_init(softmax_desc_t *softmax_desc,
prop_kind_t prop_kind, const memory_desc_t *data_desc,
int softmax_axis) {
if (!one_of(prop_kind, forward_inference, forward_training))
return invalid_arguments;
return softmax_desc_init(softmax_desc, prop_kind, data_desc, nullptr, softmax_axis);
}
status_t mkldnn_softmax_backward_desc_init(softmax_desc_t *softmax_desc,
const memory_desc_t *diff_desc, const mkldnn_memory_desc_t *data_desc,
int softmax_axis) {
return softmax_desc_init(softmax_desc, prop_kind::backward_data,
data_desc, diff_desc, softmax_axis);
}
// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
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