diff options
author | Tracy Narine <tracy.narine@arm.com> | 2023-07-13 16:50:54 +0100 |
---|---|---|
committer | Tracy Narine <tracy.narine@arm.com> | 2023-07-17 14:19:36 +0100 |
commit | bb8d7591a35bd95480b39001f8b7e41a6671f3a6 (patch) | |
tree | abf2871aa1bb86378f423df405164b0d4521db3f /src/armnnDeserializer/Deserializer.cpp | |
parent | 688268328c69e7d4181cdd31fe4717c80a6d1685 (diff) | |
download | armnn-bb8d7591a35bd95480b39001f8b7e41a6671f3a6.tar.gz |
IVGCVSW-7879 Change REVERSE_V2 from LayerWithParameters with 1 input, to Layer with 2 inputs
* Changing ReverseV2 to use two inputs
* This is required by the backends
* The ReverseV2Descriptor was removed
* Tests updated
* Added a Run<> templatefor inputs with different data types
Signed-off-by: Tracy Narine <tracy.narine@arm.com>
Change-Id: I22f947de829b4b3da6bda3a74f4ffdef4052cc25
Diffstat (limited to 'src/armnnDeserializer/Deserializer.cpp')
-rw-r--r-- | src/armnnDeserializer/Deserializer.cpp | 11 |
1 files changed, 2 insertions, 9 deletions
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp index d125ef56dd..1e40c637cc 100644 --- a/src/armnnDeserializer/Deserializer.cpp +++ b/src/armnnDeserializer/Deserializer.cpp @@ -2749,20 +2749,13 @@ void IDeserializer::DeserializerImpl::ParseReverseV2(GraphPtr graph, unsigned in CHECK_LAYERS(graph, 0, layerIndex); TensorRawPtrVector inputs = GetInputs(graph, layerIndex); - CHECK_VALID_SIZE(inputs.size(), 1); + CHECK_VALID_SIZE(inputs.size(), 2); TensorRawPtrVector outputs = GetOutputs(graph, layerIndex); CHECK_VALID_SIZE(outputs.size(), 1); - auto flatBufferDescriptor = graph->layers()->Get(layerIndex)->layer_as_ReverseV2Layer()->descriptor(); - auto flatBufferAxis = flatBufferDescriptor->axis(); - - armnn::ReverseV2Descriptor descriptor; - descriptor.m_Axis = - std::vector<int32_t>(flatBufferAxis->begin(), flatBufferAxis->end()); - auto layerName = GetLayerName(graph, layerIndex); - IConnectableLayer* layer = m_Network->AddReverseV2Layer(descriptor, layerName.c_str()); + IConnectableLayer* layer = m_Network->AddReverseV2Layer(layerName.c_str()); armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |