diff options
Diffstat (limited to 'src/armnnTfParser/TfParser.cpp')
| -rw-r--r-- | src/armnnTfParser/TfParser.cpp | 16 |
1 files changed, 6 insertions, 10 deletions
diff --git a/src/armnnTfParser/TfParser.cpp b/src/armnnTfParser/TfParser.cpp index 7f04757b75..7a213c0909 100644 --- a/src/armnnTfParser/TfParser.cpp +++ b/src/armnnTfParser/TfParser.cpp @@ -1338,13 +1338,9 @@ ParsedTfOperationPtr TfParser::ParseDepthwiseConv2D(const tensorflow::NodeDef& n uint32_t inputWidth = inputTensorInfo.GetShape()[dataLayoutIndexed.GetWidthIndex()]; // Mappings from TensorFlow filter tensors to the ArmNN filter tensors. - // Tensorflow weights are [H, W, In, Out]. - // ArmNN weights have to be [Out, H, W, In] when the data layout is NHWC, - // and [Out, In, H, W] when the data layout is NCHW. - PermutationVector permutationVector = - dataLayout == DataLayout::NHWC ? - std::initializer_list<unsigned int>{ 1, 2, 3, 0 } : // NHWC: [H, W, In, Out] -> [Out, H, W, In] - std::initializer_list<unsigned int>{ 2, 3, 1, 0 }; // NCHW: [H, W, In, Out] -> [Out, In, H, W] + // Tensorflow weights come in the format [H, W, I, M]. + // ArmNN weights have to be [M, I, H, W]. + PermutationVector permutationVector{ 2, 3, 1, 0 }; // [H, W, I, M] -> [M, I, H, W] // Swizzle the tensor using the given permutation vector. const TensorInfo& weightTensorInfo = weightNode->GetTensorInfo(); @@ -1358,8 +1354,8 @@ ParsedTfOperationPtr TfParser::ParseDepthwiseConv2D(const tensorflow::NodeDef& n // Create a weight tensor with the newly swizzled data. ConstTensor weightTensor(weightTensorSwizzledInfo, weightTensorSwizzledData); - uint32_t weightHeight = weightTensor.GetShape()[dataLayoutIndexed.GetHeightIndex()]; - uint32_t weightWidth = weightTensor.GetShape()[dataLayoutIndexed.GetWidthIndex()]; + uint32_t weightHeight = weightTensor.GetShape()[2]; + uint32_t weightWidth = weightTensor.GetShape()[3]; bool padding = false; TensorInfo outputInfo; @@ -1393,7 +1389,7 @@ ParsedTfOperationPtr TfParser::ParseDepthwiseConv2D(const tensorflow::NodeDef& n outputInfo = TensorInfo({ inputTensorInfo.GetShape()[0], outputHeight, outputWidth, - weightTensor.GetShape()[0] * weightTensor.GetShape()[3]}, + weightTensor.GetShape()[0] * weightTensor.GetShape()[1]}, DataType::Float32); break; case DataLayout::NCHW: |