COMPMID-415: Rename and move tests
The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.
Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
diff --git a/tests/validation/CPP/ActivationLayer.cpp b/tests/validation/CPP/ActivationLayer.cpp
new file mode 100644
index 0000000..fa393be
--- /dev/null
+++ b/tests/validation/CPP/ActivationLayer.cpp
@@ -0,0 +1,158 @@
+/*
+ * 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 "tests/validation/FixedPoint.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/half.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::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::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_float::half> activation_layer(const SimpleTensor<half_float::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