1 files changed, 106 insertions, 0 deletions
diff --git a/src/graph/nodes/DepthConcatenateLayer.cpp b/src/graph/nodes/DepthConcatenateLayer.cpp
new file mode 100644
index 0000000000..2171db3a3e
--- /dev/null
+++ b/src/graph/nodes/DepthConcatenateLayer.cpp
@@ -0,0 +1,106 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include <algorithm>
+#include <vector>
+
+#include "arm_compute/graph/nodes/DepthConcatenateLayer.h"
+
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLDepthConcatenate.h"
+#include "arm_compute/runtime/NEON/functions/NEDepthConcatenate.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename DepthConcatenationType, typename TensorType, TargetHint hint>
+std::unique_ptr<arm_compute::IFunction> instantiate_function(std::vector<arm_compute::ITensor *> inputs, arm_compute::ITensor *output)
+{
+    auto                      depth_concat = arm_compute::support::cpp14::make_unique<DepthConcatenationType>();
+    std::vector<TensorType *> casted_inputs;
+    std::transform(inputs.begin(), inputs.end(), std::back_inserter(casted_inputs), [](arm_compute::ITensor * input)
+    {
+        return dynamic_cast<TensorType *>(input);
+    });
+    depth_concat->configure(
+        casted_inputs,
+        dynamic_cast<TensorType *>(output));
+
+    return std::move(depth_concat);
+}
+
+template <TargetHint                    hint>
+std::unique_ptr<arm_compute::IFunction> instantiate(std::vector<arm_compute::ITensor *> inputs, arm_compute::ITensor *output);
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(std::vector<arm_compute::ITensor *> inputs, arm_compute::ITensor *output)
+{
+    return instantiate_function<arm_compute::CLDepthConcatenate, arm_compute::ICLTensor, TargetHint::OPENCL>(std::move(inputs), output);
+}
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(std::vector<arm_compute::ITensor *> inputs, arm_compute::ITensor *output)
+{
+    return instantiate_function<arm_compute::NEDepthConcatenate, arm_compute::ITensor, TargetHint::NEON>(std::move(inputs), output);
+}
+} // namespace
+
+std::unique_ptr<arm_compute::IFunction> DepthConcatenateLayer::instantiate_node(GraphContext &ctx, std::vector<arm_compute::ITensor *> inputs, arm_compute::ITensor *output)
+{
+    std::unique_ptr<arm_compute::IFunction> func;
+    _hint   = ctx.hints().target_hint();
+    _inputs = std::move(inputs);
+    _output = output;
+
+    if(_hint == TargetHint::OPENCL)
+    {
+        func = instantiate<TargetHint::OPENCL>(_inputs, _output);
+    }
+    else
+    {
+        func = instantiate<TargetHint::NEON>(_inputs, _output);
+    }
+    return func;
+}
+
+void DepthConcatenateLayer::print_info()
+{
+    if(_hint == TargetHint::OPENCL)
+    {
+        std::cout << "Instantiating NEDepthConcatenate";
+    }
+    else
+    {
+        std::cout << "Instantiating CLDepthConcatenate";
+    }
+
+    for(const auto &i : _inputs)
+    {
+        std::cout << " Input: " << i->info()->tensor_shape();
+    }
+    std::cout << " Output: " << _output->info()->tensor_shape();
+}