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-rw-r--r--thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp72
1 files changed, 0 insertions, 72 deletions
diff --git a/thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp b/thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp
deleted file mode 100644
index e32e735224..0000000000
--- a/thirdparty/oidn/mkl-dnn/src/common/shuffle.cpp
+++ /dev/null
@@ -1,72 +0,0 @@
-/*******************************************************************************
-* 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