1 files changed, 64 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClConvertFp16ToFp32Workload.cpp b/src/armnn/backends/ClWorkloads/ClConvertFp16ToFp32Workload.cpp
new file mode 100644
index 0000000000..4914be78bc
--- /dev/null
+++ b/src/armnn/backends/ClWorkloads/ClConvertFp16ToFp32Workload.cpp
@@ -0,0 +1,64 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "ClConvertFp16ToFp32Workload.hpp"
+#include "backends/ClTensorHandle.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
+
+ClConvertFp16ToFp32Workload::ClConvertFp16ToFp32Workload(
+    const ConvertFp16ToFp32QueueDescriptor& descriptor, const WorkloadInfo& info) :
+    Float16ToFloat32Workload<ConvertFp16ToFp32QueueDescriptor>(descriptor, info)
+{
+    this->m_Data.ValidateInputsOutputs("ClConvertFp16ToFp32Workload", 1, 1);
+
+    arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
+
+    m_Layer.configure(&input, &output, g_AclConvertPolicy, 0);
+}
+
+void ClConvertFp16ToFp32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvertFp16ToFp32Workload_Execute");
+    m_Layer.run();
+}
+
+arm_compute::Status ClConvertFp16ToFp32WorkloadValidate(const TensorInfo& input,
+                                                        const TensorInfo& output,
+                                                        std::string* reasonIfUnsupported)
+{
+    if (input.GetDataType() != DataType::Float16)
+    {
+        *reasonIfUnsupported = "Input should be Float16";
+        return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, *reasonIfUnsupported);
+    }
+    if (output.GetDataType() != DataType::Float32)
+    {
+        *reasonIfUnsupported = "Output should be Float32";
+        return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, *reasonIfUnsupported);
+    }
+
+    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+
+    const arm_compute::Status aclStatus = arm_compute::CLDepthConvertLayer::validate(
+        &aclInputInfo, &aclOutputInfo, g_AclConvertPolicy, 0);
+
+    const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK);
+    if (!supported && reasonIfUnsupported)
+    {
+        *reasonIfUnsupported = aclStatus.error_description();
+    }
+
+    return aclStatus;
+}
+
+
+} //namespace armnn