CPU Direct Execution: Implement Or

src/ngraph/runtime/cpu/cpu_builder.cpp

@@ -99,6 +99,7 @@
 #include "ngraph/runtime/cpu/kernel/negative.hpp"
 #include "ngraph/runtime/cpu/kernel/not.hpp"
 #include "ngraph/runtime/cpu/kernel/not_equal.hpp"
+#include "ngraph/runtime/cpu/kernel/or.hpp"
 #include "ngraph/runtime/cpu/kernel/relu.hpp"
 #include "ngraph/runtime/cpu/kernel/result.hpp"
 #include "ngraph/runtime/cpu/kernel/sign.hpp"
@@ -194,8 +195,9 @@ namespace ngraph
                 auto& out0_tensor = tensor_data[out[0].get_name()];
 
                 auto functor = [&, element_count](CPURuntimeContext* ctx) {
-                                   runtime::cpu::kernel::logical_and(arg0_tensor, arg1_tensor, out0_tensor, element_count);
-                               };
+                    runtime::cpu::kernel::logical_and(
+                        arg0_tensor, arg1_tensor, out0_tensor, element_count);
+                };
                 functors.emplace_back(functor);
             }
 
@@ -211,8 +213,9 @@ namespace ngraph
                 auto& out0_tensor = tensor_data[out[0].get_name()];
 
                 auto functor = [&, element_count](CPURuntimeContext* ctx) {
-                                   runtime::cpu::kernel::logical_or(arg0_tensor, arg1_tensor, out0_tensor, element_count);
-                               };
+                    runtime::cpu::kernel::logical_or(
+                        arg0_tensor, arg1_tensor, out0_tensor, element_count);
+                };
                 functors.emplace_back(functor);
             }
 

src/ngraph/runtime/cpu/kernel/or.hpp

+/*******************************************************************************
+* 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.
+*******************************************************************************/
+
+#pragma once
+
+#define EIGEN_USE_THREADS
+#include <unsupported/Eigen/CXX11/Tensor>
+
+#include "ngraph/runtime/cpu/kernel/eigen_thread_pool.hpp"
+
+namespace ngraph
+{
+    namespace runtime
+    {
+        namespace cpu
+        {
+            namespace kernel
+            {
+                void logical_or(void* input0, void* input1, void* output, size_t count)
+                {
+                    Eigen::array<Eigen::Index, 1> out_dims, in_dims;
+
+                    out_dims[0] = in_dims[0] = count;
+
+                    Eigen::TensorMap<Eigen::Tensor<char, 1, Eigen::RowMajor>> out(
+                        static_cast<char*>(output), out_dims);
+                    Eigen::TensorMap<Eigen::Tensor<char, 1, Eigen::RowMajor>> in0(
+                        static_cast<char*>(input0), in_dims);
+                    Eigen::TensorMap<Eigen::Tensor<char, 1, Eigen::RowMajor>> in1(
+                        static_cast<char*>(input1), in_dims);
+
+                    out.device(eigen::global_thread_pool_device) =
+                        (in0 || in1).template cast<char>();
+                }
+            }
+        }
+    }
+}