commit 8913d8d7bc83fdcb6c5dc9baca6bb369418de48b
author Alex Gilday <alexander.gilday@arm.com> Thu Feb 15 11:07:18 2018 +0000
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:47:40 2018 +0000
tree f9556fdf33af663ad9cfa7619093af334ef0af71
parent 15997879873b374ea297197fc4aafb15e38b938b

COMPMID-915: Create ResNet50 example

ResidualLayer node (COMPMID-916) also created as required for the ResNet
architecture.

Change-Id: I4fb4d2e08a8d3ce206f96f7946f5afc3e244676a
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/121185
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

src/graph/operations/CLSimpleOperations.cpp

diff --git a/src/graph/operations/CLSimpleOperations.cpp b/src/graph/operations/CLSimpleOperations.cpp
index 94e3fe1..fe56122 100644
--- a/src/graph/operations/CLSimpleOperations.cpp
+++ b/src/graph/operations/CLSimpleOperations.cpp
@@ -66,6 +66,34 @@
     return std::move(activation);
 }
 
+/* Arithmetic addition */
+REGISTER_SIMPLE_OPERATION(CLArithmeticAdditionOperation, OPENCL, OperationType::ArithmeticAddition)
+{
+    ARM_COMPUTE_ERROR_ON(ctx.num_inputs() != 2);
+    ARM_COMPUTE_ERROR_ON(ctx.num_outputs() != 1);
+    ARM_COMPUTE_ERROR_ON(dynamic_cast<arm_compute::ICLTensor *>(ctx.input(0)) == nullptr);
+    ARM_COMPUTE_ERROR_ON(dynamic_cast<arm_compute::ICLTensor *>(ctx.input(1)) == nullptr);
+    ARM_COMPUTE_ERROR_ON(dynamic_cast<arm_compute::ICLTensor *>(ctx.output(0)) == nullptr);
+
+    // Extract IO and info
+    auto *in1 = dynamic_cast<arm_compute::ICLTensor *>(ctx.input(0));
+    auto *in2 = dynamic_cast<arm_compute::ICLTensor *>(ctx.input(1));
+    auto *out = dynamic_cast<arm_compute::ICLTensor *>(ctx.output(0));
+
+    auto addition = arm_compute::support::cpp14::make_unique<arm_compute::CLArithmeticAddition>();
+    addition->configure(in1, in2, out, ConvertPolicy::SATURATE);
+
+    // Log info
+    ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating CLArithmeticAddition"
+                               << " Data Type: " << in1->info()->data_type()
+                               << " Input 1 shape: " << in1->info()->tensor_shape()
+                               << " Input 2 shape: " << in2->info()->tensor_shape()
+                               << " Output shape: " << out->info()->tensor_shape()
+                               << std::endl);
+
+    return std::move(addition);
+}
+
 /* Batch Normalization Layer */
 REGISTER_SIMPLE_OPERATION(CLBatchNormalizationLayerOperation, OPENCL, OperationType::BatchNormalizationLayer)
 {
@@ -464,4 +492,4 @@
                                << std::endl);
 
     return std::move(smx);
-}
\ No newline at end of file
+}