IVGCVSW-1784: Rename float32 workloads for ACL

Change-Id: I98bdfe9cb12c663d1d5cfa456e2cc967d70ab22b

1 files changed, 32 insertions, 0 deletions

diff --git a/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp
new file mode 100644
index 0000000000..981e63ea55
--- /dev/null
+++ b/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp
@@ -0,0 +1,32 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "NeonSoftmaxFloatWorkload.hpp"
+
+namespace armnn
+{
+
+NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& descriptor,
+    const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
+    : FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info)
+    , m_SoftmaxLayer(memoryManager)
+{
+    m_Data.ValidateInputsOutputs("NeonSoftmaxFloatWorkload", 1, 1);
+
+    // The ArmCompute softmax layer uses 2D input/output tensors, so flatten the first three dimensions.
+    arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_SoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta);
+}
+
+void NeonSoftmaxFloatWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxFloatWorkload_Execute");
+    m_SoftmaxLayer.run();
+}
+
+} //namespace armnn
+