1 files changed, 114 insertions, 0 deletions
diff --git a/src/backends/gpuFsa/workloads/GpuFsaConstantWorkload.cpp b/src/backends/gpuFsa/workloads/GpuFsaConstantWorkload.cpp
new file mode 100644
index 0000000000..39d3c0ddab
--- /dev/null
+++ b/src/backends/gpuFsa/workloads/GpuFsaConstantWorkload.cpp
@@ -0,0 +1,114 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "GpuFsaConstantWorkload.hpp"
+#include "GpuFsaWorkloadUtils.hpp"
+
+#include <Half.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <gpuFsa/GpuFsaTensorHandle.hpp>
+#include <armnn/backends/TensorHandle.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status GpuFsaConstantWorkloadValidate(const TensorInfo& output)
+{
+    const arm_compute::TensorInfo neonOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    std::array<arm_compute::DataType,8> supportedTypes = {
+            arm_compute::DataType::F16,
+            arm_compute::DataType::F32,
+            arm_compute::DataType::QASYMM8,
+            arm_compute::DataType::QASYMM8_SIGNED,
+            arm_compute::DataType::QSYMM16,
+            arm_compute::DataType::QSYMM8,
+            arm_compute::DataType::QSYMM8_PER_CHANNEL,
+            arm_compute::DataType::S32
+    };
+    auto it = std::find(begin(supportedTypes), end(supportedTypes), neonOutputInfo.data_type());
+
+    if (it != end(supportedTypes))
+    {
+        return arm_compute::Status{};
+    }
+    else
+    {
+        return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR, "Unsupported DataType"};
+    }
+}
+
+GpuFsaConstantWorkload::GpuFsaConstantWorkload(const ConstantQueueDescriptor& descriptor,
+                                             const WorkloadInfo& info,
+                                             const arm_compute::CLCompileContext&)
+        : GpuFsaBaseWorkload<ConstantQueueDescriptor>(descriptor, info)
+        , m_RanOnce(false)
+{
+}
+
+void GpuFsaConstantWorkload::Execute() const
+{
+    // The intermediate tensor held by the corresponding layer output handler can be initialised with the given data
+    // on the first inference, then reused for subsequent inferences.
+    // The initialisation cannot happen at workload construction time since the ACL kernel for the next layer may not
+    // have been configured at the time.
+    if (!m_RanOnce)
+    {
+        const ConstantQueueDescriptor& data = this->m_Data;
+
+        ARMNN_ASSERT(data.m_LayerOutput != nullptr);
+        arm_compute::CLTensor& output = static_cast<GpuFsaTensorHandle*>(data.m_Outputs[0])->GetTensor();
+        arm_compute::DataType computeDataType = static_cast<GpuFsaTensorHandle*>(data.m_Outputs[0])->GetDataType();
+
+        switch (computeDataType)
+        {
+            case arm_compute::DataType::F16:
+            {
+                CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<Half>());
+                break;
+            }
+            case arm_compute::DataType::F32:
+            {
+                CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<float>());
+                break;
+            }
+            case arm_compute::DataType::QASYMM8:
+            {
+                CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<uint8_t>());
+                break;
+            }
+            case arm_compute::DataType::QASYMM8_SIGNED:
+            {
+                CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<int8_t>());
+                break;
+            }
+            case arm_compute::DataType::QSYMM16:
+            {
+                CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<int16_t>());
+                break;
+            }
+            case arm_compute::DataType::QSYMM8:
+            case arm_compute::DataType::QSYMM8_PER_CHANNEL:
+            {
+                CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<int8_t>());
+                break;
+            }
+            case arm_compute::DataType::S32:
+            {
+                CopyArmComputeClTensorData(output, data.m_LayerOutput->GetConstTensor<int32_t>());
+                break;
+            }
+            default:
+            {
+                ARMNN_ASSERT_MSG(false, "Unknown data type");
+                break;
+            }
+        }
+
+        m_RanOnce = true;
+    }
+}
+
+} //namespace armnn