COMPMID-363 Add Graph library support
Change-Id: Ie841419bf65d0e06bdfe0bdd2d8d4e0bb3631e54
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87931
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
diff --git a/src/graph/nodes/ActivationLayer.cpp b/src/graph/nodes/ActivationLayer.cpp
new file mode 100644
index 0000000..b71e22c
--- /dev/null
+++ b/src/graph/nodes/ActivationLayer.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 "arm_compute/graph/nodes/ActivationLayer.h"
+
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLActivationLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename ActivationType, typename TensorType, Hint hint>
+std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info)
+{
+ auto activation = arm_compute::support::cpp14::make_unique<ActivationType>();
+ activation->configure(
+ dynamic_cast<TensorType *>(input),
+ dynamic_cast<TensorType *>(output),
+ activation_info);
+
+ return std::move(activation);
+}
+
+template <Hint hint>
+std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info);
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<Hint::OPENCL>(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info)
+{
+ return instantiate_function<arm_compute::CLActivationLayer, arm_compute::CLTensor, Hint::OPENCL>(input, output, activation_info);
+}
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<Hint::NEON>(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info)
+{
+ return instantiate_function<arm_compute::NEActivationLayer, arm_compute::Tensor, Hint::NEON>(input, output, activation_info);
+}
+} // namespace
+
+ActivationLayer::ActivationLayer(const ActivationLayerInfo activation_info)
+ : _activation_info(activation_info)
+{
+}
+
+std::unique_ptr<arm_compute::IFunction> ActivationLayer::instantiate_node(Hint hint, ITensor *input, ITensor *output)
+{
+ std::unique_ptr<arm_compute::IFunction> func;
+ _hint = hint;
+ _input = input;
+ _output = output;
+
+ if(_hint == Hint::OPENCL)
+ {
+ func = instantiate<Hint::OPENCL>(input, output, _activation_info);
+ }
+ else
+ {
+ func = instantiate<Hint::NEON>(input, output, _activation_info);
+ }
+ return func;
+}
+
+void ActivationLayer::print_info()
+{
+ if(_hint == Hint::OPENCL)
+ {
+ std::cout << "Instantiating CLActivationLayer";
+ }
+ else
+ {
+ std::cout << "Instantiating NEActivationLayer";
+ }
+
+ std::cout << " Data Type: " << _input->info()->data_type()
+ << " Input shape: " << _input->info()->tensor_shape()
+ << " Output shape: " << _output->info()->tensor_shape()
+ << " Activation function: " << _activation_info.activation()
+ << " a: " << _activation_info.a()
+ << " b: " << _activation_info.b()
+ << std::endl;
+}