From 5a64f22101ecdda4846e9d71428633f3ccd56fb2 Mon Sep 17 00:00:00 2001
From: Keith Davis <keith.davis@arm.com>
Date: Wed, 4 Aug 2021 10:35:20 +0100
Subject: IVGCVSW-5980 Add Descriptor, TensorInfo and Convolution algorithm to
 JSON

 * Add GUID as field to layer details and profiling events
 * Add Optional GUID param to existing tests
 * Improve Details macro to be inline function
 * Fix some formatting

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I66f192a90a7642b3ee8e7dda0d3f428cce002581
---
 src/backends/neon/workloads/NeonWorkloadUtils.hpp | 25 +++++++++++++++++++++++
 1 file changed, 25 insertions(+)

(limited to 'src/backends/neon/workloads/NeonWorkloadUtils.hpp')

diff --git a/src/backends/neon/workloads/NeonWorkloadUtils.hpp b/src/backends/neon/workloads/NeonWorkloadUtils.hpp
index ab7616fbe2..1199f30863 100644
--- a/src/backends/neon/workloads/NeonWorkloadUtils.hpp
+++ b/src/backends/neon/workloads/NeonWorkloadUtils.hpp
@@ -16,6 +16,14 @@
 
 #define ARMNN_SCOPED_PROFILING_EVENT_NEON(name) \
     ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(armnn::Compute::CpuAcc, \
+                                                  armnn::EmptyOptional(), \
+                                                  name, \
+                                                  armnn::NeonTimer(), \
+                                                  armnn::WallClockTimer())
+
+#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid) \
+    ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(armnn::Compute::CpuAcc, \
+                                                  guid, \
                                                   name, \
                                                   armnn::NeonTimer(), \
                                                   armnn::WallClockTimer())
@@ -25,6 +33,23 @@ using namespace armnn::armcomputetensorutils;
 namespace armnn
 {
 
+inline std::string GetConvolutionMethodString(arm_compute::ConvolutionMethod& convolutionMethod)
+{
+    switch (convolutionMethod)
+    {
+        case arm_compute::ConvolutionMethod::FFT:
+            return "FFT";
+        case arm_compute::ConvolutionMethod::DIRECT:
+            return "Direct";
+        case arm_compute::ConvolutionMethod::GEMM:
+            return "GEMM";
+        case arm_compute::ConvolutionMethod::WINOGRAD:
+            return "Winograd";
+        default:
+            return "Unknown";
+    }
+}
+
 template <typename T>
 void CopyArmComputeTensorData(arm_compute::Tensor& dstTensor, const T* srcData)
 {
-- 
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