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authorarovir01 <Aron.Virginas-Tar@arm.com>2018-08-31 15:26:35 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-09-17 17:21:25 +0100
commit9e53a35b66b1ec7ceee7c712380a13596175b83b (patch)
treed40bf9f27c799184324b6ab91cbb1a546fc4012e /src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp
parent5540d2f379b15503269d1b9b5fbe8fbafd160d2e (diff)
downloadarmnn-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.cpp60
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
-
-