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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 "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::types;
namespace {
status_t shuffle_desc_init(shuffle_desc_t *shuffle_desc, prop_kind_t prop_kind,
const memory_desc_t *data_desc, int axis, dim_t group_size) {
bool args_ok = true
&& !any_null(shuffle_desc, data_desc)
&& one_of(prop_kind, forward_training, forward_inference,
backward, backward_data)
&& axis >= 0 && axis < data_desc->ndims
&& group_size > 0 && group_size <= data_desc->dims[axis];
if (!args_ok) return invalid_arguments;
auto sd = shuffle_desc_t();
sd.primitive_kind = primitive_kind::shuffle;
sd.prop_kind = prop_kind;
sd.data_desc = *data_desc;
sd.axis = axis;
sd.group_size = group_size;
bool consistency = true
&& sd.data_desc.dims[axis] % sd.group_size == 0;
if (!consistency) return invalid_arguments;
*shuffle_desc = sd;
return success;
}
}
status_t mkldnn_shuffle_forward_desc_init(shuffle_desc_t *shuffle_desc,
prop_kind_t prop_kind, const memory_desc_t *data_desc, int axis,
dim_t group_size) {
if (!one_of(prop_kind, forward_training, forward_inference))
return invalid_arguments;
return shuffle_desc_init(shuffle_desc, prop_kind, data_desc, axis,
group_size);
}
status_t mkldnn_shuffle_backward_desc_init(shuffle_desc_t *shuffle_desc,
const memory_desc_t *diff_data_desc, int axis, dim_t group_size) {
return shuffle_desc_init(shuffle_desc, backward_data, diff_data_desc, axis,
group_size);
}
// vim: et ts=5 sw=4 cindent cino^=l0,\:0,N-s
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