1 files changed, 129 insertions, 0 deletions
diff --git a/delegate/src/test/SoftmaxTest.cpp b/delegate/src/test/SoftmaxTest.cpp
new file mode 100644
index 0000000000..3aacfe0a04
--- /dev/null
+++ b/delegate/src/test/SoftmaxTest.cpp
@@ -0,0 +1,129 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SoftmaxTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+/// Convenience function to run softmax and log-softmax test cases
+/// \param operatorCode tflite::BuiltinOperator_SOFTMAX or tflite::BuiltinOperator_LOG_SOFTMAX
+/// \param backends armnn backends to target
+/// \param beta multiplicative parameter to the softmax function
+/// \param expectedOutput to be checked against transformed input
+void SoftmaxTestCase(tflite::BuiltinOperator operatorCode,
+                     std::vector<armnn::BackendId> backends, float beta, std::vector<float> expectedOutput) {
+    std::vector<float> input = {
+        1.0, 2.5, 3.0, 4.5, 5.0,
+        -1.0, -2.5, -3.0, -4.5, -5.0};
+    std::vector<int32_t> shape = {2, 5};
+
+    SoftmaxTest(operatorCode,
+                tflite::TensorType_FLOAT32,
+                backends,
+                shape,
+                input,
+                expectedOutput,
+                beta);
+}
+
+TEST_SUITE ("Softmax_GpuAccTests")
+{
+
+TEST_CASE ("Softmax_Standard_Beta_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    std::vector<float> expectedOutput = {0.00994190481, 0.0445565246, 0.0734612942, 0.329230666, 0.542809606,
+                                         0.710742831, 0.158588171, 0.0961885825, 0.0214625746, 0.0130177103};
+    SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 1, expectedOutput);
+}
+
+TEST_CASE ("Softmax_Different_Beta_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    std::vector<float> expectedOutput = {0.0946234912, 0.148399189, 0.172415257, 0.270400971, 0.314161092, 0.352414012,
+                                         0.224709094, 0.193408906, 0.123322964, 0.106145054};
+    SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 0.3, expectedOutput);
+
+}
+
+TEST_CASE ("Log_Softmax_GpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+    std::vector<float> expectedOutput =
+        {-4.61099672, -3.11099672, -2.61099672, -1.11099672, -0.610996664,
+         -0.341444582, -1.84144461, -2.34144449, -3.84144449, -4.34144449};
+    SoftmaxTestCase(tflite::BuiltinOperator_LOG_SOFTMAX, backends, 0, expectedOutput);
+}
+} // TEST_SUITE ("Softmax_GpuAccTests")
+
+TEST_SUITE ("Softmax_CpuAccTests")
+{
+
+TEST_CASE ("Softmax_Standard_Beta_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    std::vector<float> expectedOutput = {0.00994190481, 0.0445565246, 0.0734612942, 0.329230666, 0.542809606,
+                                         0.710742831, 0.158588171, 0.0961885825, 0.0214625746, 0.0130177103};
+    SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 1, expectedOutput);
+}
+
+TEST_CASE ("Softmax_Different_Beta_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    std::vector<float> expectedOutput = {
+        0.0946234912, 0.148399189, 0.172415257, 0.270400971, 0.314161092,
+        0.352414012, 0.224709094, 0.193408906, 0.123322964, 0.106145054};
+    SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 0.3, expectedOutput);
+}
+
+TEST_CASE ("Log_Softmax_CpuAcc_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
+    std::vector<float> expectedOutput =
+        {-4.61099672, -3.11099672, -2.61099672, -1.11099672, -0.610996664,
+         -0.341444582, -1.84144461, -2.34144449, -3.84144449, -4.34144449};
+    SoftmaxTestCase(tflite::BuiltinOperator_LOG_SOFTMAX, backends, 0, expectedOutput);
+}
+} // TEST_SUITE ("Softmax_CpuAccTests")
+
+TEST_SUITE ("Softmax_CpuRefTests")
+{
+
+TEST_CASE ("Softmax_Standard_Beta_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    std::vector<float> expectedOutput = {
+        0.00994190481, 0.0445565246, 0.0734612942, 0.329230666, 0.542809606,
+        0.710742831, 0.158588171, 0.0961885825, 0.0214625746, 0.0130177103};
+    SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 1, expectedOutput);
+}
+
+TEST_CASE ("Softmax_Different_Beta_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    std::vector<float> expectedOutput = {
+        0.0946234912, 0.148399189, 0.172415257, 0.270400971, 0.314161092,
+        0.352414012, 0.224709094, 0.193408906, 0.123322964, 0.106145054};
+    SoftmaxTestCase(tflite::BuiltinOperator_SOFTMAX, backends, 0.3, expectedOutput);
+}
+
+TEST_CASE ("Log_Softmax_CpuRef_Test")
+{
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    std::vector<float> expectedOutput =
+        {-4.61099672, -3.11099672, -2.61099672, -1.11099672, -0.610996664,
+         -0.341444582, -1.84144461, -2.34144449, -3.84144449, -4.34144449};
+    SoftmaxTestCase(tflite::BuiltinOperator_LOG_SOFTMAX, backends, 0, expectedOutput);
+}
+} // TEST_SUITE ("Softmax_CpuRefTests")
+} // namespace armnnDelegate