COMPMID-556: Rename CPP folder to reference

Change-Id: I147644349547c4e3804a80b564a9ad95131ad2d0
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111560
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>

1 files changed, 164 insertions, 0 deletions

diff --git a/tests/validation/reference/ActivationLayer.cpp b/tests/validation/reference/ActivationLayer.cpp
new file mode 100644
index 0000000000..2243e6ff59
--- /dev/null
+++ b/tests/validation/reference/ActivationLayer.cpp
@@ -0,0 +1,164 @@
+/*
+ * 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 "ActivationLayer.h"
+
+#include "arm_compute/core/Types.h"
+#include "tests/validation/FixedPoint.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
+SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info)
+{
+    // Create reference
+    SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() };
+
+    // Compute reference
+    const T a(info.a());
+    const T b(info.b());
+
+    for(int i = 0; i < src.num_elements(); ++i)
+    {
+        T x = src[i];
+
+        switch(info.activation())
+        {
+            case ActivationLayerInfo::ActivationFunction::ABS:
+                dst[i] = std::abs(x);
+                break;
+            case ActivationLayerInfo::ActivationFunction::LINEAR:
+                dst[i] = a * x + b;
+                break;
+            case ActivationLayerInfo::ActivationFunction::LOGISTIC:
+                dst[i] = static_cast<T>(1) / (static_cast<T>(1) + std::exp(-x));
+                break;
+            case ActivationLayerInfo::ActivationFunction::RELU:
+                dst[i] = std::max<T>(static_cast<T>(0), x);
+                break;
+            case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
+                dst[i] = std::min<T>(a, std::max(static_cast<T>(0), x));
+                break;
+            case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
+                dst[i] = std::min<T>(a, std::max<T>(b, x));
+                break;
+            case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
+                dst[i] = (x > 0) ? x : a * x;
+                break;
+            case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
+                dst[i] = std::log(static_cast<T>(1) + std::exp(x));
+                break;
+            case ActivationLayerInfo::ActivationFunction::SQRT:
+                dst[i] = std::sqrt(x);
+                break;
+            case ActivationLayerInfo::ActivationFunction::SQUARE:
+                dst[i] = x * x;
+                break;
+            case ActivationLayerInfo::ActivationFunction::TANH:
+                dst[i] = a * std::tanh(b * x);
+                break;
+            default:
+                ARM_COMPUTE_ERROR("Unsupported activation function");
+        }
+    }
+
+    return dst;
+}
+
+template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type>
+SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info)
+{
+    using namespace fixed_point_arithmetic;
+
+    // Create reference
+    SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() };
+
+    // Compute reference
+    const int            fixed_point_position = src.fixed_point_position();
+    const fixed_point<T> a(info.a(), fixed_point_position);
+    const fixed_point<T> b(info.b(), fixed_point_position);
+    const fixed_point<T> const_0(0, fixed_point_position);
+    const fixed_point<T> const_1(1, fixed_point_position);
+
+    for(int i = 0; i < src.num_elements(); ++i)
+    {
+        fixed_point<T> x(src[i], fixed_point_position, true);
+
+        switch(info.activation())
+        {
+            case ActivationLayerInfo::ActivationFunction::ABS:
+                dst[i] = abs(x).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::LINEAR:
+                dst[i] = add(b, mul(a, x)).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::LOGISTIC:
+                dst[i] = (const_1 / (const_1 + exp(-x))).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::RELU:
+                dst[i] = max(const_0, x).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU:
+                dst[i] = min(a, max(const_0, x)).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU:
+                dst[i] = min(a, max(b, x)).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
+                dst[i] = (x > const_0) ? x.raw() : mul(a, x).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
+                dst[i] = log(const_1 + exp(x)).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::SQRT:
+                dst[i] = (const_1 / inv_sqrt(x)).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::SQUARE:
+                dst[i] = mul(x, x).raw();
+                break;
+            case ActivationLayerInfo::ActivationFunction::TANH:
+                dst[i] = mul(a, tanh(mul(b, x))).raw();
+                break;
+            default:
+                ARM_COMPUTE_ERROR("Unsupported activation function");
+        }
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> activation_layer(const SimpleTensor<float> &src, ActivationLayerInfo info);
+template SimpleTensor<half> activation_layer(const SimpleTensor<half> &src, ActivationLayerInfo info);
+template SimpleTensor<qint8_t> activation_layer(const SimpleTensor<qint8_t> &src, ActivationLayerInfo info);
+template SimpleTensor<qint16_t> activation_layer(const SimpleTensor<qint16_t> &src, ActivationLayerInfo info);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute