From 5b8093c17044e8eaaaa42d96ba4902dee5791be4 Mon Sep 17 00:00:00 2001 From: Cathal Corbett Date: Fri, 22 Oct 2021 11:12:07 +0100 Subject: IVGCVSW-6420: Constant flag in tensor info is not set correctly !android-nn-driver:6532 !armnn-internal-tests:372451 * Made fix to 2 out of 3 ConstTensor() constructors in Tensor.hpp to throw InvalidArgumentException when TensorInfo isConstant parameter is false. * Added new ConstTensor() constructor in Tensor.cpp to accept vector<>.data() using template. * Fixed runtime->GetOutputTensorInfo()/GetInputTensorInfo() methods and called submethods to return TensorInfo& rather than TensorInfo. * Fixed all failing unit tests for CpuRef/CpuAcc/GpuAcc to ensure any ConstTensor created has it's TensorInfo isConstant set to true. * Added unit tests in TensorTest.cpp to ensure ConstTensor constructors throw InvalidArgumentException when TensorInfo isConstat parameter is false. * Added unit test to ensure an empty ConstTensor constructor will set TensorInfo isConatant to true. * Indentation fixes. * Fix to arm_tensor.i to add isConstant parameter to TensorInfo constructor. Added methods IsConstant() and SetConstant(). * Fix to const_tensor.py to throw ValueError when TensorInfo isConstant is set to false when constructing a ConstTensor. * Fixed PyArmnn unit tests to set TensorInfo isConstant to True when ConstTensor is used. * Added unit tests in test_const_tensor.py to ensure ConstTensor constructors throw ValueError when TensorInfo isConstat parameter is false. Signed-off-by: Cathal Corbett Change-Id: I44e440dd0422c366d31bbdbc77ad2b4db0bde148 --- src/profiling/test/FileOnlyProfilingDecoratorTests.cpp | 8 ++++++-- src/profiling/test/ProfilingTestUtils.cpp | 8 +++++--- 2 files changed, 11 insertions(+), 5 deletions(-) (limited to 'src/profiling/test') diff --git a/src/profiling/test/FileOnlyProfilingDecoratorTests.cpp b/src/profiling/test/FileOnlyProfilingDecoratorTests.cpp index 0d6f8422fc..a96de66ecd 100644 --- a/src/profiling/test/FileOnlyProfilingDecoratorTests.cpp +++ b/src/profiling/test/FileOnlyProfilingDecoratorTests.cpp @@ -90,9 +90,11 @@ TEST_CASE("TestFileOnlyProfiling") outputData[i] = 3.0; } + TensorInfo inputTensorInfo = runtime.GetInputTensorInfo(netId, 0); + inputTensorInfo.SetConstant(true); InputTensors inputTensors { - {0, ConstTensor(runtime.GetInputTensorInfo(netId, 0), inputData.data())} + {0, ConstTensor(inputTensorInfo, inputData.data())} }; OutputTensors outputTensors { @@ -213,9 +215,11 @@ TEST_CASE("DumpOutgoingValidFileEndToEnd") outputData[i] = 3.0; } + TensorInfo inputTensorInfo = runtime.GetInputTensorInfo(netId, 0); + inputTensorInfo.SetConstant(true); InputTensors inputTensors { - {0, ConstTensor(runtime.GetInputTensorInfo(netId, 0), inputData.data())} + {0, ConstTensor(inputTensorInfo, inputData.data())} }; OutputTensors outputTensors { diff --git a/src/profiling/test/ProfilingTestUtils.cpp b/src/profiling/test/ProfilingTestUtils.cpp index 79b8ea41da..e0d3dd717c 100644 --- a/src/profiling/test/ProfilingTestUtils.cpp +++ b/src/profiling/test/ProfilingTestUtils.cpp @@ -381,8 +381,8 @@ void VerifyPostOptimisationStructureTestImpl(armnn::BackendId backendId) // Convolution details TensorInfo inputInfo({ 1, 2, 5, 1 }, DataType::Float32); - TensorInfo weightInfo({ 3, 2, 3, 1 }, DataType::Float32); - TensorInfo biasInfo({ 3 }, DataType::Float32); + TensorInfo weightInfo({ 3, 2, 3, 1 }, DataType::Float32, 0.0f, 0, true); + TensorInfo biasInfo({ 3 }, DataType::Float32, 0.0f, 0, true); TensorInfo outputInfo({ 1, 3, 7, 1 }, DataType::Float32); std::vector weightsData{ 1.0f, 0.0f, 0.0f, @@ -742,9 +742,11 @@ void VerifyPostOptimisationStructureTestImpl(armnn::BackendId backendId) std::vector inputData(inputInfo.GetNumElements()); std::vector outputData(outputInfo.GetNumElements()); + TensorInfo inputTensorInfo = runtime.GetInputTensorInfo(netId, 0); + inputTensorInfo.SetConstant(true); InputTensors inputTensors { - {0, ConstTensor(runtime.GetInputTensorInfo(netId, 0), inputData.data())} + {0, ConstTensor(inputTensorInfo, inputData.data())} }; OutputTensors outputTensors { -- cgit v1.2.1