diff options
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp | 76 |
1 files changed, 38 insertions, 38 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp index 0ae55e4c60..c7f902ab04 100644 --- a/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp @@ -160,28 +160,28 @@ LstmNoCifgNoPeepholeNoProjectionTestImpl( LayerTestResult<T, 2> ret(outputTensorInfo); - std::vector<float> inputVector; + std::vector<T> inputVector; inputVector.assign(input.data(), input.data() + (batchSize * inputSize)); - auto inputTensor = MakeTensor<float,2>(inputTensorInfo, inputVector); + auto inputTensor = MakeTensor<T,2>(inputTensorInfo, inputVector); - std::vector<float> cellStateInVector(batchSize * numUnits, 0.f); - auto cellStateInTensor = MakeTensor<float,2>(cellStateInTensorInfo, cellStateInVector); + std::vector<T> cellStateInVector(batchSize * numUnits, T()); + auto cellStateInTensor = MakeTensor<T,2>(cellStateInTensorInfo, cellStateInVector); - std::vector<float> outputStateInVector(batchSize * outputSize, 0.f); - auto outputStateInTensor = MakeTensor<float,2>(outputStateInTensorInfo, outputStateInVector); + std::vector<T> outputStateInVector(batchSize * outputSize, T()); + auto outputStateInTensor = MakeTensor<T,2>(outputStateInTensorInfo, outputStateInVector); - std::vector<float> scratchBufferVector(batchSize * numUnits * 4, 0.f); - auto scratchBufferTensor = MakeTensor<float,2>(scratchBufferTensorInfo, scratchBufferVector); + std::vector<T> scratchBufferVector(batchSize * numUnits * 4, T()); + auto scratchBufferTensor = MakeTensor<T,2>(scratchBufferTensorInfo, scratchBufferVector); - std::vector<float> outputStateOutVector(batchSize * outputSize, 0.f); - auto outputStateOutTensor = MakeTensor<float,2>(outputStateOutTensorInfo, outputStateOutVector); + std::vector<T> outputStateOutVector(batchSize * outputSize, T()); + auto outputStateOutTensor = MakeTensor<T,2>(outputStateOutTensorInfo, outputStateOutVector); - std::vector<float> cellStateOutVector(batchSize * numUnits, 0.f); - auto cellStateOutTensor = MakeTensor<float,2>(cellStateOutTensorInfo, cellStateOutVector); + std::vector<T> cellStateOutVector(batchSize * numUnits, T()); + auto cellStateOutTensor = MakeTensor<T,2>(cellStateOutTensorInfo, cellStateOutVector); - std::vector<float> outputVector; + std::vector<T> outputVector; outputVector.assign(outputExpected.data(), outputExpected.data() + (batchSize * outputSize)); - ret.outputExpected = MakeTensor<float, 2>(outputTensorInfo, outputVector); + ret.outputExpected = MakeTensor<T, 2>(outputTensorInfo, outputVector); std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> cellStateInHandle = @@ -363,28 +363,28 @@ LstmLayerNoCifgWithPeepholeWithProjectionTestImpl(armnn::IWorkloadFactory& workl LayerTestResult<T, 2> ret(outputTensorInfo); - std::vector<float> inputVector; + std::vector<T> inputVector; inputVector.assign(input.data(), input.data() + (batchSize * inputSize)); - auto inputTensor = MakeTensor<float,2>(inputTensorInfo, inputVector); + auto inputTensor = MakeTensor<T,2>(inputTensorInfo, inputVector); - std::vector<float> cellStateInVector(batchSize * numUnits, 0.f); - auto cellStateInTensor = MakeTensor<float,2>(cellStateInTensorInfo, cellStateInVector); + std::vector<T> cellStateInVector(batchSize * numUnits, T()); + auto cellStateInTensor = MakeTensor<T,2>(cellStateInTensorInfo, cellStateInVector); - std::vector<float> outputStateInVector(batchSize * outputSize, 0.f); - auto outputStateInTensor = MakeTensor<float,2>(outputStateInTensorInfo, outputStateInVector); + std::vector<T> outputStateInVector(batchSize * outputSize, T()); + auto outputStateInTensor = MakeTensor<T,2>(outputStateInTensorInfo, outputStateInVector); - std::vector<float> scratchBufferVector(batchSize * numUnits * 4, 0.f); - auto scratchBufferTensor = MakeTensor<float,2>(scratchBufferTensorInfo, scratchBufferVector); + std::vector<T> scratchBufferVector(batchSize * numUnits * 4, T()); + auto scratchBufferTensor = MakeTensor<T,2>(scratchBufferTensorInfo, scratchBufferVector); - std::vector<float> outputStateOutVector(batchSize * outputSize, 0.f); - auto outputStateOutTensor = MakeTensor<float,2>(outputStateOutTensorInfo, outputStateOutVector); + std::vector<T> outputStateOutVector(batchSize * outputSize, T()); + auto outputStateOutTensor = MakeTensor<T,2>(outputStateOutTensorInfo, outputStateOutVector); - std::vector<float> cellStateOutVector(batchSize * numUnits, 0.f); - auto cellStateOutTensor = MakeTensor<float,2>(cellStateOutTensorInfo, cellStateOutVector); + std::vector<T> cellStateOutVector(batchSize * numUnits, T()); + auto cellStateOutTensor = MakeTensor<T,2>(cellStateOutTensorInfo, cellStateOutVector); - std::vector<float> outputVector; + std::vector<T> outputVector; outputVector.assign(outputExpected.data(), outputExpected.data() + (batchSize * outputSize)); - ret.outputExpected = MakeTensor<float, 2>(outputTensorInfo, outputVector); + ret.outputExpected = MakeTensor<T, 2>(outputTensorInfo, outputVector); std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); std::unique_ptr<armnn::ITensorHandle> cellStateInHandle = @@ -1195,27 +1195,27 @@ LayerTestResult<T, 2> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl( // List of outputs - std::vector<float> scratchBufferVector(batchSize * scratchBufferSize, 0.f); - auto scratchBufferTensor = MakeTensor<float,2>(scratchBufferTensorInfo, scratchBufferVector); + std::vector<T> scratchBufferVector(batchSize * scratchBufferSize, T()); + auto scratchBufferTensor = MakeTensor<T,2>(scratchBufferTensorInfo, scratchBufferVector); LayerTestResult<T, 2> ret0(scratchBufferTensorInfo); // Output state for a certain time step - std::vector<float> outputStateOutVector(batchSize * outputSize, 0.f); - auto outputStateOutTensor = MakeTensor<float,2>(outputStateOutTensorInfo, outputStateOutVector); + std::vector<T> outputStateOutVector(batchSize * outputSize, T()); + auto outputStateOutTensor = MakeTensor<T,2>(outputStateOutTensorInfo, outputStateOutVector); LayerTestResult<T, 2> ret1(outputStateOutTensorInfo); // Cell state for a certain time step - std::vector<float> cellStateOutVector(batchSize * cellSize, 0.f); - auto cellStateOutTensor = MakeTensor<float,2>(cellStateOutTensorInfo, cellStateOutVector); + std::vector<T> cellStateOutVector(batchSize * cellSize, T()); + auto cellStateOutTensor = MakeTensor<T,2>(cellStateOutTensorInfo, cellStateOutVector); LayerTestResult<T, 2> ret2(cellStateOutTensorInfo); // Output for a certain time step - std::vector<float> outputVector(batchSize * outputSize, 0.f); - auto outputTensor = MakeTensor<float, 2>(outputTensorInfo, outputVector); - std::vector<float> outputData; + std::vector<T> outputVector(batchSize * outputSize, T()); + auto outputTensor = MakeTensor<T, 2>(outputTensorInfo, outputVector); + std::vector<T> outputData; outputData.assign(outputExpected.data(), outputExpected.data() + batchSize*outputSize); LayerTestResult<T, 2> ret3(outputTensorInfo); - ret3.outputExpected = MakeTensor<float, 2>(outputTensorInfo, outputData); + ret3.outputExpected = MakeTensor<T, 2>(outputTensorInfo, outputData); // Prepare the inputs and outputs for the workload std::unique_ptr<armnn::ITensorHandle> inputHandle = |