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authorDavid Beck <david.beck@arm.com>2018-09-24 15:59:27 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-10-10 16:16:57 +0100
commit0dbe0ee25312b728d77383d11c465156e64ae757 (patch)
treeaf37a9802e3ad551e1bf63f7636508cde7a41643 /src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp
parentb4540bef0b0327683fe8e63f727c1212800dc2a9 (diff)
downloadarmnn-0dbe0ee25312b728d77383d11c465156e64ae757.tar.gz
IVGCVSW-1899 : Neon backend folder structure
armnn:149855 Change-Id: I26e8cf83422a65049386a5ebdb6d0001627aefaa
Diffstat (limited to 'src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp')
-rw-r--r--src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp41
1 files changed, 41 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp b/src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp
new file mode 100644
index 0000000000..86ec31c71d
--- /dev/null
+++ b/src/backends/neon/workloads/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