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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/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp
parenta3f165624b2cdfbced674af5a6e11856b1e746d9 (diff)
downloadarmnn-10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab.tar.gz
IVGCVSW-1897 : build infrastructure for the src/backends folder
Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
Diffstat (limited to 'src/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp')
-rw-r--r--src/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp60
1 files changed, 60 insertions, 0 deletions
diff --git a/src/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp b/src/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp
new file mode 100644
index 0000000000..c4241ece19
--- /dev/null
+++ b/src/backends/NeonWorkloads/NeonMultiplicationFloatWorkload.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonMultiplicationFloatWorkload.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);
+}
+
+NeonMultiplicationFloatWorkload::NeonMultiplicationFloatWorkload(const MultiplicationQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : FloatWorkload<MultiplicationQueueDescriptor>(descriptor, info)
+{
+ m_Data.ValidateInputsOutputs("NeonMultiplicationFloatWorkload", 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 NeonMultiplicationFloatWorkload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMultiplicationFloatWorkload_Execute");
+ m_PixelWiseMultiplication.run();
+}
+
+} //namespace armnn
+
+