commit 98d3fd80fa821d4db74c559718f7b6be0fa0d309
author Teresa Charlin <teresa.charlinreyes@arm.com> Tue Aug 02 14:17:39 2022 +0100
committer Nikhil Raj <nikhil.raj@arm.com> Fri Aug 05 15:53:06 2022 +0100
tree 86285d8c09a5e95a532a0b45699df15b4b25a4da
parent c4988e9077e364ce9b4e4a8901424ccc90653ba1

Bug Fixes for refactor of the ExecuteNetwork.

* dot file to be generated when -v is given. It was only being generated when using the delegate as executor
* output name read from m_Params.m_OutputNames instead of m_TfLiteInterpreter
* typo: "delage" instead of "delegate"
* QAsymmS8 templated as int8, instead of uint8


Change-Id: Ie13ae0f7e6395c0ebcb5ecda32e72082dee8aa6c

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Iac97a23927ba42290ebeb3446bbd36da15045e07

tests/ExecuteNetwork/TfliteExecutor.cpp

diff --git a/tests/ExecuteNetwork/TfliteExecutor.cpp b/tests/ExecuteNetwork/TfliteExecutor.cpp
index dc495be..98b6c9d 100644
--- a/tests/ExecuteNetwork/TfliteExecutor.cpp
+++ b/tests/ExecuteNetwork/TfliteExecutor.cpp
@@ -144,7 +144,7 @@
                 outputSize *=  outputDims->data[dim];
             }
 
-            std::cout << m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->name << ": ";
+            std::cout << m_Params.m_OutputNames[outputIndex] << ": ";
             results.push_back(m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->allocation);
 
             switch (m_TfLiteInterpreter->tensor(tfLiteDelegateOutputId)->type)
@@ -152,38 +152,38 @@
 
                 case kTfLiteFloat32:
                 {
-                    auto tfLiteDelageOutputData = m_TfLiteInterpreter->typed_tensor<float>(tfLiteDelegateOutputId);
+                    auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<float>(tfLiteDelegateOutputId);
 
                     for (int i = 0; i < outputSize; ++i)
                     {
-                        fprintf(outputTensorFile, "%f ", tfLiteDelageOutputData[i]);
+                        fprintf(outputTensorFile, "%f ", tfLiteDelegateOutputData[i]);
                     }
                     break;
                 }
                 case kTfLiteInt32:
                 {
-                    auto tfLiteDelageOutputData = m_TfLiteInterpreter->typed_tensor<int32_t>(tfLiteDelegateOutputId);
+                    auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<int32_t>(tfLiteDelegateOutputId);
                     for (int i = 0; i < outputSize; ++i)
                     {
-                        fprintf(outputTensorFile, "%d ", tfLiteDelageOutputData[i]);
+                        fprintf(outputTensorFile, "%d ", tfLiteDelegateOutputData[i]);
                     }
                     break;
                 }
                 case kTfLiteUInt8:
                 {
-                    auto tfLiteDelageOutputData = m_TfLiteInterpreter->typed_tensor<uint8_t>(tfLiteDelegateOutputId);
+                    auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<uint8_t>(tfLiteDelegateOutputId);
                     for (int i = 0; i < outputSize; ++i)
                     {
-                        fprintf(outputTensorFile, "%u ", tfLiteDelageOutputData[i]);
+                        fprintf(outputTensorFile, "%u ", tfLiteDelegateOutputData[i]);
                     }
                     break;
                 }
                 case kTfLiteInt8:
                 {
-                    auto tfLiteDelageOutputData = m_TfLiteInterpreter->typed_tensor<int8_t>(tfLiteDelegateOutputId);
+                    auto tfLiteDelegateOutputData = m_TfLiteInterpreter->typed_tensor<int8_t>(tfLiteDelegateOutputId);
                     for (int i = 0; i < outputSize; ++i)
                     {
-                        fprintf(outputTensorFile, "%d ", tfLiteDelageOutputData[i]);
+                        fprintf(outputTensorFile, "%d ", tfLiteDelegateOutputData[i]);
                     }
                     break;
                 }