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Diffstat (limited to 'src/backends/neon/test/NeonFallbackTests.cpp')
-rw-r--r--src/backends/neon/test/NeonFallbackTests.cpp109
1 files changed, 84 insertions, 25 deletions
diff --git a/src/backends/neon/test/NeonFallbackTests.cpp b/src/backends/neon/test/NeonFallbackTests.cpp
index e7a56a4848..ae6cfae3fa 100644
--- a/src/backends/neon/test/NeonFallbackTests.cpp
+++ b/src/backends/neon/test/NeonFallbackTests.cpp
@@ -107,11 +107,18 @@ TEST_CASE("FallbackImportToCpuAcc")
11.0f, 9.0f, 7.0f, 5.0f, 3.0f, 1.0f, -1.0f, -3.0f, -5.0f, -7.0f, -9.0f, -11.0f
};
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ armnn::TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+ inputTensorInfo2.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) },
- { 2, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 2), inputData2.data()) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) },
+ { 2, armnn::ConstTensor(inputTensorInfo2, inputData2.data()) }
};
OutputTensors outputTensors
{
@@ -238,10 +245,15 @@ TEST_CASE("FallbackPaddingCopyToCpuAcc")
6.0f, 12.0f
};
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) }
};
OutputTensors outputTensors
{
@@ -374,11 +386,18 @@ TEST_CASE("FallbackImportFromCpuAcc")
13.0f, 11.0f, 11.0f, 9.0f, 7.0f, 7.0f, 7.0f, 5.0f, 5.0f, 3.0f, 3.0f, -5.0f
};
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ armnn::TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+ inputTensorInfo2.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) },
- { 2, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 2), inputData2.data()) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) },
+ { 2, armnn::ConstTensor(inputTensorInfo2, inputData2.data()) }
};
OutputTensors outputTensors
{
@@ -505,10 +524,15 @@ TEST_CASE("FallbackPaddingCopyFromCpuAcc")
5.0f, 15.0f
};
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) }
};
OutputTensors outputTensors
{
@@ -639,11 +663,18 @@ TEST_CASE("FallbackDisableImportFromCpuAcc")
13.0f, 11.0f, 11.0f, 9.0f, 7.0f, 7.0f, 7.0f, 5.0f, 5.0f, 3.0f, 3.0f, -5.0f
};
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ armnn::TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+ inputTensorInfo2.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) },
- { 2, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 2), inputData2.data()) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) },
+ { 2, armnn::ConstTensor(inputTensorInfo2, inputData2.data()) }
};
OutputTensors outputTensors
{
@@ -784,11 +815,18 @@ TEST_CASE("NeonImportEnabledFallbackToCl")
auto* intputPtr = reinterpret_cast<float*>(alignedInputPtr);
std::copy(inputData2.begin(), inputData2.end(), intputPtr);
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ armnn::TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+ inputTensorInfo2.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) },
- { 2, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 2), alignedInputPtr) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) },
+ { 2, armnn::ConstTensor(inputTensorInfo2, alignedInputPtr) }
};
OutputTensors outputTensors
{
@@ -910,11 +948,18 @@ TEST_CASE("NeonImportDisabledFallbackToCl")
11.0f, 9.0f, 7.0f, 5.0f, 3.0f, 1.0f, -1.0f, -3.0f, -5.0f, -7.0f, -9.0f, -11.0f
};
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ armnn::TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+ inputTensorInfo2.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) },
- { 2, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 2), inputData2.data()) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) },
+ { 2, armnn::ConstTensor(inputTensorInfo2, inputData2.data()) }
};
OutputTensors outputTensors
{
@@ -1061,11 +1106,18 @@ TEST_CASE("NeonImportEnabledFallbackSubgraphToCl")
auto* intputPtr = reinterpret_cast<float*>(alignedInputPtr);
std::copy(inputData2.begin(), inputData2.end(), intputPtr);
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ armnn::TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+ inputTensorInfo2.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) },
- { 2, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 2), alignedInputPtr) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) },
+ { 2, armnn::ConstTensor(inputTensorInfo2, alignedInputPtr) }
};
OutputTensors outputTensors
{
@@ -1200,11 +1252,18 @@ TEST_CASE("NeonImportDisableFallbackSubgraphToCl")
std::vector<float> expectedOutput{ 11.0f, -1.0f };
+ armnn::TensorInfo inputTensorInfo0 = runtime->GetInputTensorInfo(netId, 0);
+ armnn::TensorInfo inputTensorInfo1 = runtime->GetInputTensorInfo(netId, 1);
+ armnn::TensorInfo inputTensorInfo2 = runtime->GetInputTensorInfo(netId, 2);
+ inputTensorInfo0.SetConstant(true);
+ inputTensorInfo1.SetConstant(true);
+ inputTensorInfo2.SetConstant(true);
+
InputTensors inputTensors
{
- { 0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData0.data()) },
- { 1, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 1), inputData1.data()) },
- { 2, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 2), inputData2.data()) }
+ { 0, armnn::ConstTensor(inputTensorInfo0, inputData0.data()) },
+ { 1, armnn::ConstTensor(inputTensorInfo1, inputData1.data()) },
+ { 2, armnn::ConstTensor(inputTensorInfo2, inputData2.data()) }
};
OutputTensors outputTensors
{
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-17 03:18:01 +0000