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author | Sadik Armagan <sadik.armagan@arm.com> | 2020-04-30 11:39:37 +0100 |
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committer | Kevin May <kevin.may@arm.com> | 2020-04-30 10:46:12 +0000 |
commit | be88a57579a9a848efe13e6c524b5b104b871733 (patch) | |
tree | d5dc03627048f8ecd2d728b154434244f05475ea /src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp | |
parent | 9937f9359ac4eeefc3535b66eddddd1b4f067c54 (diff) | |
download | armnn-be88a57579a9a848efe13e6c524b5b104b871733.tar.gz |
IVGCVSW-4753 Fix CpuAcc Hal 1.3 Softmax Failures
* Refactor Neon Softmax workload to accept supported data types
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I54aa72d5cbb862cafcc1eabe48f6a00d61050cd7
Diffstat (limited to 'src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp | 41 |
1 files changed, 0 insertions, 41 deletions
diff --git a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp deleted file mode 100644 index a4690a7985..0000000000 --- a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp +++ /dev/null @@ -1,41 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "NeonSoftmaxFloatWorkload.hpp" - -#include "NeonWorkloadUtils.hpp" - -#include <aclCommon/ArmComputeUtils.hpp> -#include <armnn/utility/PolymorphicDowncast.hpp> - -#include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h> - -namespace armnn -{ - -NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& descriptor, - const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) - : FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info) -{ - m_Data.ValidateInputsOutputs("NeonSoftmaxFloatWorkload", 1, 1); - - // The ArmCompute softmax layer uses 2D input/output tensors, so flatten the first three dimensions. - arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); - - auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager); - unsigned int aclAxis = ComputeSoftmaxAclAxis(m_Data.m_Parameters, info.m_InputTensorInfos[0]); - layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); - m_SoftmaxLayer.reset(layer.release()); -} - -void NeonSoftmaxFloatWorkload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxFloatWorkload_Execute"); - m_SoftmaxLayer->run(); -} - -} //namespace armnn - |