commit 310d8ff46f26b6c656b417ac6dc59ef610aaa513
author Sadik Armagan <sadik.armagan@arm.com> Thu Jul 11 10:53:38 2019 +0100
committer Sadik Armagan <sadik.armagan@arm.com> Thu Jul 11 10:53:38 2019 +0100
tree 5d7f85ce31e7cd0c4fcb5427addf32775de58733
parent 366e0a66f4566cf71dff3f850556350709ee66a8

IVGCVSW-3457 Fix VTS pad dynamic_output_shape test failures


Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Icb9a308f19ac6adbcf0d1de4d8733b95bab3bf0a

1.2/HalPolicy.cpp

diff --git a/1.2/HalPolicy.cpp b/1.2/HalPolicy.cpp
index 58fcf73..cdf8c0f 100644
--- a/1.2/HalPolicy.cpp
+++ b/1.2/HalPolicy.cpp
@@ -453,12 +453,6 @@
         return Fail("%s: Could not read output", __func__);
     }
 
-    const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output);
-    if (IsDynamicOutput(outputInfo))
-    {
-        return Fail("%s: Dynamic output not supported", __func__);
-    }
-
     const armnn::TensorInfo& inputInfo  = input.GetTensorInfo();
     unsigned int rank = inputInfo.GetNumDimensions();
 
@@ -468,6 +462,13 @@
         return Fail("%s: Could not convert paddings", __func__);
     }
 
+    armnn::TensorInfo outputInfo = GetTensorInfoForOperand(*output);
+    if (IsDynamicOutput(outputInfo))
+    {
+        ALOGD("Output shape not set, will infer from inputs");
+        outputInfo.SetShape(InferPadOutputShape(inputInfo.GetShape(), descriptor.m_PadList));
+    }
+
     // Determine type of padding value
     OperandType operandType0;
     OperandType operandType2;
@@ -528,7 +529,12 @@
     input.Connect(layer->GetInputSlot(0));
     layer->GetOutputSlot(0).SetTensorInfo(outputInfo);
 
-    return SetupAndTrackLayerOutputSlot<hal_1_2::HalPolicy>(operation, 0, *layer, model, data);
+    return SetupAndTrackLayerOutputSlot<hal_1_2::HalPolicy>(operation,
+                                                            0,
+                                                            *layer,
+                                                            model,
+                                                            data,
+                                                            armnn::Optional<armnn::TensorInfo>(outputInfo));
 }
 
 bool HalPolicy::ConvertPrelu(const Operation& operation, const Model& model, ConversionData& data)