From 2a07e184f7b359d13aa6cacfdc6431f9b191ef0c Mon Sep 17 00:00:00 2001
From: Anthony Barbier <anthony.barbier@arm.com>
Date: Fri, 4 Aug 2017 18:20:27 +0100
Subject: 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>
---
 src/graph/nodes/SoftmaxLayer.cpp | 97 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 97 insertions(+)
 create mode 100644 src/graph/nodes/SoftmaxLayer.cpp

(limited to 'src/graph/nodes/SoftmaxLayer.cpp')

diff --git a/src/graph/nodes/SoftmaxLayer.cpp b/src/graph/nodes/SoftmaxLayer.cpp
new file mode 100644
index 0000000000..fee88970fc
--- /dev/null
+++ b/src/graph/nodes/SoftmaxLayer.cpp
@@ -0,0 +1,97 @@
+/*
+ * 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/SoftmaxLayer.h"
+
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h"
+#include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "support/ToolchainSupport.h"
+#include "utils/TypePrinter.h"
+
+using namespace arm_compute::graph;
+
+namespace
+{
+template <typename SoftmaxType, typename TensorType, Hint hint>
+std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output)
+{
+    auto softmax = arm_compute::support::cpp14::make_unique<SoftmaxType>();
+    softmax->configure(
+        dynamic_cast<TensorType *>(input),
+        dynamic_cast<TensorType *>(output));
+
+    return std::move(softmax);
+}
+
+template <Hint                          hint>
+std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output);
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<Hint::OPENCL>(ITensor *input, ITensor *output)
+{
+    return instantiate_function<arm_compute::CLSoftmaxLayer, arm_compute::CLTensor, Hint::OPENCL>(input, output);
+}
+
+template <>
+std::unique_ptr<arm_compute::IFunction> instantiate<Hint::NEON>(ITensor *input, ITensor *output)
+{
+    return instantiate_function<arm_compute::NESoftmaxLayer, arm_compute::Tensor, Hint::NEON>(input, output);
+}
+} // namespace
+
+std::unique_ptr<arm_compute::IFunction> SoftmaxLayer::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);
+    }
+    else
+    {
+        func = instantiate<Hint::NEON>(input, output);
+    }
+
+    return func;
+}
+
+void SoftmaxLayer::print_info()
+{
+    if(_hint == Hint::OPENCL)
+    {
+        std::cout << "Instantiating CLSoftmaxLayer";
+    }
+    else
+    {
+        std::cout << "Instantiating NESoftmaxLayer";
+    }
+    std::cout << " Data Type: " << _input->info()->data_type()
+              << " Input shape: " << _input->info()->tensor_shape()
+              << " Output shape: " << _output->info()->tensor_shape()
+              << std::endl;
+}
-- 
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