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authorSamuel Yap <samuel.yap@arm.com>2022-08-19 11:14:38 +0100
committerNikhil Raj <nikhil.raj@arm.com>2022-08-30 17:03:44 +0100
commita04f4a15575ddd778d3a330dbce629412e1ffc0c (patch)
tree5f9ec80ee2a2f941c475115a274a2ba18e3965ce /src/armnnSerializer/test
parentdc8ed9d75e54e914a970e137900930fa64a0782b (diff)
downloadarmnn-a04f4a15575ddd778d3a330dbce629412e1ffc0c.tar.gz
IVGCVSW-7104: BatchMatMul Serializer/Deserializer Support
* Updated FlatBuffers schema for BatchMatMul layer type * Added Serializer and Deserializer implementations for BatchMatMul * Added unit tests for BatchMatMul serialization and deserialization * Updated CMakeLists and docs Signed-off-by: Samuel Yap <samuel.yap@arm.com> Change-Id: Iad63afbd036a3eb648683eb7416a475561aa20cb
Diffstat (limited to 'src/armnnSerializer/test')
-rw-r--r--src/armnnSerializer/test/SerializerTests.cpp41
1 files changed, 41 insertions, 0 deletions
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index 3c00fc43ae..a568bf15c9 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -92,6 +92,47 @@ TEST_CASE("SerializeArgMinMaxSigned64")
SerializeArgMinMaxTest(armnn::DataType::Signed64);
}
+TEST_CASE("SerializeBatchMatMul")
+{
+ const std::string layerName("batchMatMul");
+ const armnn::TensorInfo inputXInfo({2, 3, 4, 5}, armnn::DataType::Float32);
+ const armnn::TensorInfo inputYInfo({2, 4, 3, 5}, armnn::DataType::Float32);
+
+ const armnn::TensorInfo outputInfo({2, 3, 3, 5}, armnn::DataType::Float32);
+
+ armnn::BatchMatMulDescriptor descriptor(false,
+ false,
+ false,
+ false,
+ armnn::DataLayout::NHWC,
+ armnn::DataLayout::NHWC);
+
+ armnn::INetworkPtr network = armnn::INetwork::Create();
+ armnn::IConnectableLayer* const inputXLayer = network->AddInputLayer(0);
+ armnn::IConnectableLayer* const inputYLayer = network->AddInputLayer(1);
+
+ armnn::IConnectableLayer* const batchMatMulLayer =
+ network->AddBatchMatMulLayer(descriptor, layerName.c_str());
+ armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0);
+
+ inputXLayer->GetOutputSlot(0).Connect(batchMatMulLayer->GetInputSlot(0));
+ inputYLayer->GetOutputSlot(0).Connect(batchMatMulLayer->GetInputSlot(1));
+ batchMatMulLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
+
+ inputXLayer->GetOutputSlot(0).SetTensorInfo(inputXInfo);
+ inputYLayer->GetOutputSlot(0).SetTensorInfo(inputYInfo);
+ batchMatMulLayer->GetOutputSlot(0).SetTensorInfo(outputInfo);
+
+ armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
+ CHECK(deserializedNetwork);
+
+ LayerVerifierBaseWithDescriptor<armnn::BatchMatMulDescriptor> verifier(layerName,
+ {inputXInfo, inputYInfo},
+ {outputInfo},
+ descriptor);
+ deserializedNetwork->ExecuteStrategy(verifier);
+}
+
TEST_CASE("SerializeBatchNormalization")
{
const std::string layerName("batchNormalization");