aboutsummaryrefslogtreecommitdiff
path: root/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp')
-rw-r--r--src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp23
1 files changed, 21 insertions, 2 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp
index 58ce7b74ba..a8a3cd77b4 100644
--- a/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp
+++ b/src/armnn/backends/NeonWorkloads/NeonMultiplicationFloat32Workload.cpp
@@ -9,9 +9,28 @@
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)
- : Float32Workload<MultiplicationQueueDescriptor>(descriptor, info)
+ : FloatWorkload<MultiplicationQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonMultiplicationFloat32Workload", 2, 1);
@@ -32,7 +51,7 @@ NeonMultiplicationFloat32Workload::NeonMultiplicationFloat32Workload(const Multi
void NeonMultiplicationFloat32Workload::Execute() const
{
- ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonMultiplicationFloat32Workload_Execute");
+ ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMultiplicationFloat32Workload_Execute");
m_PixelWiseMultiplication.run();
}