DEX LRN (#1344)

* DEX LRN

* merge after jbobba's changes

src/ngraph/runtime/cpu/CMakeLists.txt

@@ -36,6 +36,7 @@ set(SRC
     builder/convolution.cpp
     builder/dot.cpp
     builder/function_call.cpp
+    builder/lrn.cpp
     builder/matmul_bias.cpp
     builder/max.cpp
     builder/max_pool.cpp

src/ngraph/runtime/cpu/builder/lrn.cpp

+/*******************************************************************************
+* 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 "ngraph/op/lrn.hpp"
+#include "ngraph/runtime/cpu/cpu_builder.hpp"
+#include "ngraph/runtime/cpu/mkldnn_invoke.hpp"
+#include "ngraph/runtime/cpu/mkldnn_utils.hpp"
+#include "ngraph/runtime/reference/lrn.hpp"
+
+using namespace std;
+using namespace ngraph;
+
+namespace ngraph
+{
+    namespace runtime
+    {
+        namespace cpu
+        {
+            template <>
+            void Builder::BUILDER_DECL(ngraph::op::LRN)
+            {
+                auto& functors = external_function->get_functors();
+                auto& tensor_data = external_function->get_tensor_data();
+
+                const ngraph::op::LRN* lrn = static_cast<const ngraph::op::LRN*>(node);
+                static function<void(CPURuntimeContext*)> functor;
+
+                auto& arg_tensor = tensor_data[args[0].get_name()];
+                auto& out_tensor = tensor_data[out[0].get_name()];
+
+                if (runtime::cpu::mkldnn_utils::use_mkldnn_kernel(node))
+                {
+                    auto& mkldnn_emitter = external_function->get_mkldnn_emitter();
+                    auto input_data_desc = mkldnn_utils::get_input_mkldnn_md(node, 0);
+                    auto result_desc = mkldnn_utils::get_output_mkldnn_md(node, 0);
+
+                    auto lrn_index =
+                        mkldnn_emitter->build_lrn_forward(input_data_desc,
+                                                          result_desc,
+                                                          static_cast<float>(lrn->get_alpha()),
+                                                          static_cast<float>(lrn->get_beta()),
+                                                          static_cast<float>(lrn->get_bias()),
+                                                          static_cast<int>(lrn->get_nsize()));
+
+                    auto& deps = mkldnn_emitter->get_primitive_deps(lrn_index);
+                    functor = [&, lrn_index](CPURuntimeContext* ctx) {
+                        cpu::mkldnn_utils::set_memory_ptr(ctx, deps[0], arg_tensor);
+                        cpu::mkldnn_utils::set_memory_ptr(ctx, deps[1], out_tensor);
+                        cpu::mkldnn_utils::mkldnn_invoke_primitive(ctx, lrn_index);
+                    };
+                }
+                else
+                {
+                    double alpha = lrn->get_alpha();
+                    double beta = lrn->get_beta();
+                    double bias = lrn->get_bias();
+                    double nsize = lrn->get_nsize();
+                    Shape arg_shape = args[0].get_shape();
+
+                    auto element_type = lrn->get_element_type();
+                    if (element_type == element::f32)
+                    {
+                        functor = [&, alpha, beta, bias, arg_shape, nsize](CPURuntimeContext* ctx) {
+                            ngraph::runtime::reference::lrn<float>(static_cast<float*>(arg_tensor),
+                                                                   static_cast<float*>(out_tensor),
+                                                                   arg_shape,
+                                                                   alpha,
+                                                                   beta,
+                                                                   bias,
+                                                                   nsize);
+                        };
+                    }
+                    else if (element_type == element::f64)
+                    {
+                        functor = [&, alpha, beta, bias, arg_shape, nsize](CPURuntimeContext* ctx) {
+                            ngraph::runtime::reference::lrn<double>(
+                                static_cast<double*>(arg_tensor),
+                                static_cast<double*>(out_tensor),
+                                arg_shape,
+                                alpha,
+                                beta,
+                                bias,
+                                nsize);
+                        };
+                    }
+                    else
+                    {
+                        throw ngraph_error("Unsupported type in CPU Builder for LRN");
+                    }
+                }
+
+                functors.emplace_back(functor);
+            }
+
+            REGISTER_OP_BUILDER(LRN);
+        }
+    }
+}