1 files changed, 39 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp b/src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp
new file mode 100644
index 0000000000..9e856fea94
--- /dev/null
+++ b/src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp
@@ -0,0 +1,39 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "ClSoftmaxUint8Workload.hpp"
+#include "backends/ClTensorHandle.hpp"
+#include "backends/CpuTensorHandle.hpp"
+
+namespace armnn
+{
+
+ClSoftmaxUint8Workload::ClSoftmaxUint8Workload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : Uint8Workload<SoftmaxQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("ClSoftmaxUint8Workload", 1, 1);
+
+    arm_compute::ICLTensor& input  = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    const auto outputQuantization = output.info()->quantization_info();
+
+    if ((outputQuantization.scale != (1.0f / 256.0f)) || (outputQuantization.offset != 0))
+    {
+        throw InvalidArgumentException(
+            "Invalid quantization for output. Only scale = 1.0f / 256.0f and offset = 0 supported");
+    }
+
+    m_SoftmaxLayer.configure(&input, &output, descriptor.m_Parameters.m_Beta);
+}
+
+void ClSoftmaxUint8Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClSoftmaxUint8Workload_Execute");
+
+    m_SoftmaxLayer.run();
+}
+
+} //namespace armnn