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