commit 4bd9a745df49bdf11e03f932af6eca6b61ddb0a1
author Teresa Charlin <teresa.charlinreyes@arm.com> Wed Aug 12 12:58:50 2020 +0100
committer Finn Williams <Finn.Williams@arm.com> Fri Aug 14 19:35:43 2020 +0100
tree d6b596ed4d5d9bc0172ebdb4a60174fbbbec867c
parent a4983cec09a3e24bf4e99abd31aa11842e8b365f

IVGCVSW-5182 Update Convert functions to use ShapeInferenceMethod. 1/2.

 * ConvertToActivation
 * ConvertAdd
 * ConvertArgMinMax
 * ConvertConv2d
 * ConvertDepthToSpace
 * ConvertDepthwiseConv2d
 * ConvertDiv
 * ConvertFloor
 * ConvertFullyConnected
 * ConvertL2Normalization
 * ConvertLocalResponseNormalization
 * ConvertMean
 * ConvertMul
 * ConvertPad
 * ConvertReshape
 * ConvertSub
 * ConvertStridedSlice
 * ConvertTranspose
 * ConvertBatchToSpaceNd
 * ConvertSpaceToBatchNd
 * ConvertComparison_1_2
 * ConvertConv2d_1_2
 * ConvertDepthwiseConv2d_1_2
 * ConvertElementwiseUnary
 * ConvertExpandDims
 * ConvertGather
 * ConvertGroupedConv2d
 * ConvertInstanceNormalization
 * ConvertLogSoftmax
 * ConvertMaximum
 * ConvertMinimum
 * ConvertPadV2
 * ConvertPrelu
 * ConvertQuantize
 * ConvertResize
 * ConvertSpaceToDepth
 * ConvertSoftmax
 * ConvertTransposeConv2d

Signed-off-by: Finn Williams <Finn.Williams@Arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: Idacf16e5eab56d83fce293570bbc89381ae056dc

ArmnnPreparedModel_1_3.cpp

diff --git a/ArmnnPreparedModel_1_3.cpp b/ArmnnPreparedModel_1_3.cpp
index a27c7a3..386cc17 100644
--- a/ArmnnPreparedModel_1_3.cpp
+++ b/ArmnnPreparedModel_1_3.cpp
@@ -451,6 +451,8 @@
             return V1_3::ErrorStatus::GENERAL_FAILURE;
         }
 
+        const size_t outputSize = outputTensorInfo.GetNumBytes();
+
         unsigned int count = 0;
         std::for_each(outputArg.dimensions.begin(), outputArg.dimensions.end(), [&](auto dim)
         {
@@ -466,14 +468,13 @@
             count++;
         });
 
-        const size_t outputSize = outputTensorInfo.GetNumBytes();
-
         outputs.emplace_back(i, outputTensor);
         outputShapes[i] = ComputeShape(outputTensorInfo);
 
         if (outputArg.location.length < outputSize)
         {
-            ALOGW("ArmnnPreparedModel_1_3::Execute failed");
+            ALOGW("ArmnnPreparedModel_1_3::Execute failed outputArg.location.length (%s) < outputSize (%s)",
+                std::to_string(outputArg.location.length).c_str(), std::to_string(outputSize).c_str());
             outputShapes[i].isSufficient = false;
             return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
         }
@@ -481,7 +482,8 @@
         const size_t bufferSize = memPools.at(outputArg.location.poolIndex).getHidlMemory().size();
         if (bufferSize < outputSize)
         {
-            ALOGW("ArmnnPreparedModel_1_3::Execute failed");
+            ALOGW("ArmnnPreparedModel_1_3::Execute failed bufferSize (%s) < outputSize (%s)",
+                  std::to_string(bufferSize).c_str(), std::to_string(outputSize).c_str());
             outputShapes[i].isSufficient = false;
             return V1_3::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;
         }