COMPMID-417: Add grouping in convolution layer

-Adds grouping support in convolution layer
-Adds Normalization layer node in graph
-Adds alexnet example
-Fixes FullyConnectedLayer output autoconfigure (works only for 1d batch
space)

Change-Id: I5bd75f9a8b08cfd68f7c34745150266c2bc4221f
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/89518
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 105 insertions, 0 deletions

diff --git a/src/graph/nodes/NormalizationLayer.cpp b/src/graph/nodes/NormalizationLayer.cpp
new file mode 100644
index 0000000000..55ef9bf243
--- /dev/null
+++ b/src/graph/nodes/NormalizationLayer.cpp
@@ -0,0 +1,105 @@
+/*
+ * 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/NormalizationLayer.h"
+
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h"
+#include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename NormalizationType, typename TensorType, Hint hint>
+std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
+{
+    auto norm = arm_compute::support::cpp14::make_unique<NormalizationType>();
+    norm->configure(
+        dynamic_cast<TensorType *>(input),
+        dynamic_cast<TensorType *>(output),
+        norm_info);
+
+    return std::move(norm);
+}
+
+template <Hint                          hint>
+std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info);
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<Hint::OPENCL>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
+{
+    return instantiate_function<arm_compute::CLNormalizationLayer, arm_compute::CLTensor, Hint::OPENCL>(input, output, norm_info);
+}
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<Hint::NEON>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
+{
+    return instantiate_function<arm_compute::NENormalizationLayer, arm_compute::Tensor, Hint::NEON>(input, output, norm_info);
+}
+} // namespace
+
+NormalizationLayer::NormalizationLayer(const NormalizationLayerInfo norm_info)
+    : _norm_info(norm_info)
+{
+}
+
+std::unique_ptr<arm_compute::IFunction> NormalizationLayer::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, _norm_info);
+    }
+    else
+    {
+        func = instantiate<Hint::NEON>(input, output, _norm_info);
+    }
+
+    return func;
+}
+
+void NormalizationLayer::print_info()
+{
+    if(_hint == Hint::OPENCL)
+    {
+        std::cout << "Instantiating CLNormalizationLayer";
+    }
+    else
+    {
+        std::cout << "Instantiating NENormalizationLayer";
+    }
+
+    std::cout << " Data Type: " << _input->info()->data_type()
+              << " Input shape: " << _input->info()->tensor_shape()
+              << " Output shape: " << _output->info()->tensor_shape()
+              << " Normalization info: " << _norm_info
+              << std::endl;
+}