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author | arovir01 <Aron.Virginas-Tar@arm.com> | 2018-08-31 15:26:35 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-09-17 17:21:25 +0100 |
commit | 9e53a35b66b1ec7ceee7c712380a13596175b83b (patch) | |
tree | d40bf9f27c799184324b6ab91cbb1a546fc4012e /src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp | |
parent | 5540d2f379b15503269d1b9b5fbe8fbafd160d2e (diff) | |
download | armnn-9e53a35b66b1ec7ceee7c712380a13596175b83b.tar.gz |
IVGCVSW-1784: Rename float32 workloads for ACL
Change-Id: I98bdfe9cb12c663d1d5cfa456e2cc967d70ab22b
Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp')
-rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp | 60 |
1 files changed, 0 insertions, 60 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp deleted file mode 100644 index a8a3cd77b4..0000000000 --- a/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp +++ /dev/null @@ -1,60 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// See LICENSE file in the project root for full license information. -// - -#include "NeonMultiplicationFloat32Workload.hpp" - - -namespace armnn -{ - -arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo& input0, - const TensorInfo& input1, - const TensorInfo& output) -{ - const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input0); - const arm_compute::TensorInfo aclInput2 = armcomputetensorutils::BuildArmComputeTensorInfo(input1); - const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); - - // At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it, - // when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be - // ignored for F32 tensors. - return arm_compute::NEPixelWiseMultiplication::validate(&aclInput1, - &aclInput2, - &aclOutput, - 1.0f, - arm_compute::ConvertPolicy::SATURATE, - arm_compute::RoundingPolicy::TO_ZERO); -} - -NeonMultiplicationFloat32Workload::NeonMultiplicationFloat32Workload(const MultiplicationQueueDescriptor& descriptor, - const WorkloadInfo& info) - : FloatWorkload<MultiplicationQueueDescriptor>(descriptor, info) -{ - m_Data.ValidateInputsOutputs("NeonMultiplicationFloat32Workload", 2, 1); - - arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ITensor& input2 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); - arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); - - // At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it, - // when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be - // ignored for F32 tensors. - m_PixelWiseMultiplication.configure(&input1, - &input2, - &output, - 1.0f, - arm_compute::ConvertPolicy::SATURATE, - arm_compute::RoundingPolicy::TO_ZERO); -} - -void NeonMultiplicationFloat32Workload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMultiplicationFloat32Workload_Execute"); - m_PixelWiseMultiplication.run(); -} - -} //namespace armnn - - |