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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/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp
parenta3f165624b2cdfbced674af5a6e11856b1e746d9 (diff)
downloadarmnn-10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab.tar.gz
IVGCVSW-1897 : build infrastructure for the src/backends folder
Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp')
-rw-r--r--src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp43
1 files changed, 0 insertions, 43 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp b/src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp
deleted file mode 100644
index 1bb9628d74..0000000000
--- a/src/armnn/backends/ClWorkloads/ClSoftmaxUint8Workload.cpp
+++ /dev/null
@@ -1,43 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClSoftmaxUint8Workload.hpp"
-#include "backends/ClTensorHandle.hpp"
-#include "backends/CpuTensorHandle.hpp"
-
-#include "ClWorkloadUtils.hpp"
-
-namespace armnn
-{
-
-ClSoftmaxUint8Workload::ClSoftmaxUint8Workload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info,
- std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
- : Uint8Workload<SoftmaxQueueDescriptor>(descriptor, info)
- , m_SoftmaxLayer(memoryManager)
-{
- m_Data.ValidateInputsOutputs("ClSoftmaxUint8Workload", 1, 1);
-
- arm_compute::ICLTensor& input = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
- arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
-
- const auto outputQuantization = output.info()->quantization_info();
-
- if ((outputQuantization.scale != (1.0f / 256.0f)) || (outputQuantization.offset != 0))
- {
- throw InvalidArgumentException(
- "Invalid quantization for output. Only scale = 1.0f / 256.0f and offset = 0 supported");
- }
-
- m_SoftmaxLayer.configure(&input, &output, descriptor.m_Parameters.m_Beta);
-}
-
-void ClSoftmaxUint8Workload::Execute() const
-{
- ARMNN_SCOPED_PROFILING_EVENT_CL("ClSoftmaxUint8Workload_Execute");
-
- m_SoftmaxLayer.run();
-}
-
-} //namespace armnn