IVGCVSW-1900 : CL backend folder structure
* moving backends/ClWorkloads to backends/cl
* and moving pure Cl workload related code to
backends/cl/workloads
Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129
diff --git a/src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp b/src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp
new file mode 100644
index 0000000..e7663b4
--- /dev/null
+++ b/src/backends/cl/workloads/ClConvertFp16ToFp32Workload.cpp
@@ -0,0 +1,66 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClConvertFp16ToFp32Workload.hpp"
+#include <backends/cl/ClTensorHandle.hpp>
+
+#include "ClWorkloadUtils.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