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authorDavid Beck <david.beck@arm.com>2018-09-19 12:03:20 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-10-10 16:16:56 +0100
commit10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab (patch)
tree1ac5b4f415531e2ef759439ab8e113f177bea7c5 /src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp
parenta3f165624b2cdfbced674af5a6e11856b1e746d9 (diff)
downloadarmnn-10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab.tar.gz
IVGCVSW-1897 : build infrastructure for the src/backends folder
Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
Diffstat (limited to 'src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp')
-rw-r--r--src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp41
1 files changed, 41 insertions, 0 deletions
diff --git a/src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp b/src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp
new file mode 100644
index 0000000000..86ec31c71d
--- /dev/null
+++ b/src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp
@@ -0,0 +1,41 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonConvertFp16ToFp32Workload.hpp"
+#include "Half.hpp"
+#include "FloatingPointConverter.hpp"
+
+#include "backends/WorkloadUtils.hpp"
+
+namespace armnn
+{
+
+NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload(const ConvertFp16ToFp32QueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : Float16ToFloat32Workload<ConvertFp16ToFp32QueueDescriptor>(descriptor, info)
+{
+ this->m_Data.ValidateInputsOutputs("NeonConvertFp16ToFp32Workload", 1, 1);
+ GatherTensorHandlePairs(descriptor, m_TensorHandlePairs);
+}
+
+void NeonConvertFp16ToFp32Workload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConvertFp16ToFp32Workload_Execute");
+
+ auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size)
+ {
+ auto input = reinterpret_cast<const Half*>(src);
+ auto output = reinterpret_cast<float*>(dst);
+ size_t numElements = size/2; // 2 bytes per fp16
+ armnnUtils::FloatingPointConverter::ConvertFloat16To32(input, numElements, output);
+ };
+
+ for (const auto& pair : m_TensorHandlePairs)
+ {
+ CopyTensorContentsGeneric(pair.first, pair.second, convertFunc);
+ }
+}
+
+} //namespace armnn