1 files changed, 105 insertions, 0 deletions
diff --git a/inference-engine/thirdparty/mkl-dnn/src/cpu/ref_shuffle.hpp b/inference-engine/thirdparty/mkl-dnn/src/cpu/ref_shuffle.hpp
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+++ b/inference-engine/thirdparty/mkl-dnn/src/cpu/ref_shuffle.hpp
@@ -0,0 +1,105 @@
+/*******************************************************************************
+* 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.
+*******************************************************************************/
+
+#ifndef CPU_REF_SHUFFLE_HPP
+#define CPU_REF_SHUFFLE_HPP
+
+#include <assert.h>
+
+#include "c_types_map.hpp"
+#include "cpu_shuffle_pd.hpp"
+#include "cpu_engine.hpp"
+#include "type_helpers.hpp"
+#include "utils.hpp"
+
+namespace mkldnn {
+namespace impl {
+namespace cpu {
+
+template<int data_type_size>
+struct ref_shuffle_t : public cpu_primitive_t {
+    using shuffle_class = ref_shuffle_t<data_type_size>;
+
+    struct pd_t: public cpu_shuffle_pd_t {
+        pd_t(engine_t *engine, const shuffle_desc_t *adesc,
+                const primitive_attr_t *attr,
+                const shuffle_pd_t *hint_fwd_pd)
+            : cpu_shuffle_pd_t(engine, adesc, attr, hint_fwd_pd) {}
+
+        DECLARE_COMMON_PD_T("ref:any",shuffle_class);
+
+        virtual status_t init() override {
+            assert(this->engine()->kind() == engine_kind::cpu);
+
+            bool ok = true
+                 && data_type_size ==
+                     types::data_type_size(this->desc()->data_desc.data_type);
+            if (!ok)
+                return status::unimplemented;
+            return status::success;
+        }
+    };
+
+    ref_shuffle_t(const pd_t *pd, const input_vector &inputs,
+            const output_vector &outputs)
+        : cpu_primitive_t(&conf_, inputs, outputs), conf_(*pd)
+    {
+        const int axis_size = conf_.axis_size();
+        const int group_size = conf_.group_size();
+        const int transpose_row = conf_.is_fwd() ? group_size
+                                                 : axis_size / group_size;
+        const int transpose_col = conf_.is_fwd() ? axis_size / group_size
+                                                 : group_size;
+        rev_transposed_ = (int *)malloc(axis_size * sizeof(int), 64);
+        parallel_nd(transpose_col, transpose_row, [&](int i, int j) {
+            rev_transposed_[j * transpose_col + i] = i * transpose_row + j;
+        });
+    }
+
+    ~ref_shuffle_t() { free(rev_transposed_); }
+
+    typedef typename typesize_traits<data_type_size>::type data_t;
+
+    virtual void execute(event_t *e) {
+        using namespace memory_format;
+        switch (conf_.data_pd()->desc()->format) {
+        case nCdhw16c: execute_<nCdhw16c>(); break;
+        case nChw16c:  execute_<nChw16c>(); break;
+        case nCdhw8c:  execute_<nCdhw8c>(); break;
+        case nChw8c:   execute_<nChw8c>(); break;
+        case ncdhw:    execute_<ncdhw>(); break;
+        case nchw:     execute_<nchw>(); break;
+        case ndhwc:    execute_<ndhwc>(); break;
+        case nhwc:     execute_<nhwc>(); break;
+        default:       execute_<mkldnn_any>(); break;
+        }
+
+        e->set_state(event_t::ready);
+    }
+
+private:
+    template<memory_format_t fmt>void execute_();
+    pd_t conf_;
+    int *rev_transposed_;
+};
+
+}
+}
+}
+
+#endif
+
+// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s