MLCE-101 Deeplab v3+ (Add Tf Lite Parser Dilation Check)

    * Add Parse Exception for convolutions without default dilation

Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I1b8f75c2d871d81161eb5378ced277438e809ba2

1 files changed, 24 insertions, 0 deletions

diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 31e808fd6e..b9a3522736 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -226,6 +226,24 @@ void CheckBufferSize(TfLiteParser::BufferRawPtr bufferPtr,
 #define CHECK_BUFFER_SIZE(BUFFER_PTR, TENSOR_INFO, BUFFER_ID) \
     CheckBufferSize(BUFFER_PTR, TENSOR_INFO, BUFFER_ID, CHECK_LOCATION())
 
+uint32_t CheckDilation(const int32_t dilationFactor,
+                       size_t operatorIndex,
+                       const CheckLocation& location)
+{
+    if (dilationFactor != 1)
+    {
+        std::stringstream ss;
+        ss << "ArmNN only supports convolution layers with dilations [1,1,1,1] for operator with index "
+           << operatorIndex  << location.AsString();
+        throw ParseException(ss.str());
+    }
+
+    return static_cast<uint32_t>(dilationFactor);
+}
+
+#define CHECK_DILATION(DILATION_FACTOR, OPERATOR_INDEX) \
+    CheckDilation(DILATION_FACTOR, OPERATOR_INDEX, CHECK_LOCATION())
+
 bool IsActivationSupported(tflite::ActivationFunctionType activationType)
 {
     switch(activationType)
@@ -694,6 +712,9 @@ void TfLiteParser::ParseConv2D(size_t subgraphIndex, size_t operatorIndex)
     desc.m_StrideY = CHECKED_NON_NEGATIVE(options->stride_h);
     desc.m_DataLayout = armnn::DataLayout::NHWC;
 
+    CHECK_DILATION(options->dilation_h_factor, operatorIndex);
+    CHECK_DILATION(options->dilation_w_factor, operatorIndex);
+
     auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex);
     CHECK_VALID_SIZE(inputs.size(), 2, 3);
 
@@ -779,6 +800,9 @@ void TfLiteParser::ParseDepthwiseConv2D(size_t subgraphIndex, size_t operatorInd
     auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex);
     CHECK_VALID_SIZE(outputs.size(), 1);
 
+    CHECK_DILATION(options->dilation_h_factor, operatorIndex);
+    CHECK_DILATION(options->dilation_w_factor, operatorIndex);
+
     armnn::TensorInfo inputTensorInfo  = ToTensorInfo(inputs[0]);
     armnn::TensorInfo filterTensorInfo = ToTensorInfo(inputs[1]);