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Diffstat (limited to 'delegate/src/test/BatchMatMulTest.cpp')
-rw-r--r-- | delegate/src/test/BatchMatMulTest.cpp | 657 |
1 files changed, 657 insertions, 0 deletions
diff --git a/delegate/src/test/BatchMatMulTest.cpp b/delegate/src/test/BatchMatMulTest.cpp new file mode 100644 index 0000000000..5469bc845c --- /dev/null +++ b/delegate/src/test/BatchMatMulTest.cpp @@ -0,0 +1,657 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "BatchMatMulTestHelper.hpp" + +#include <armnn_delegate.hpp> + +#include <flatbuffers/flatbuffers.h> +#include <tensorflow/lite/schema/schema_generated.h> + +#include <doctest/doctest.h> + +namespace armnnDelegate +{ + + void BatchMatMul2DFp32SimpleTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2, 2 }; + std::vector<int32_t> RHSInputShape { 2, 2 }; + std::vector<int32_t> outputShape { 2, 2 }; + + std::vector<float> LHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<float> RHSInputValues = { 5, 6, + 7, 8 }; + + std::vector<float> expectedOutputValues = { 19, 22, + 43, 50 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + void BatchMatMul2DInt8SimpleTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2, 2 }; + std::vector<int32_t> RHSInputShape { 2, 2 }; + std::vector<int32_t> outputShape { 2, 2 }; + + std::vector<int8_t> LHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<int8_t> RHSInputValues = { 5, 6, + 7, 8 }; + + std::vector<int8_t> expectedOutputValues = { 19, 22, + 43, 50 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3DFp32SimpleTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 1,2,2 }; + std::vector<int32_t> RHSInputShape { 1,2,2 }; + std::vector<int32_t> outputShape { 1,2,2 }; + + std::vector<float> LHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<float> RHSInputValues = { 5, 6, + 7, 8 }; + + std::vector<float> expectedOutputValues = { 19, 22, + 43, 50 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3DInt8SimpleTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 1,2,2 }; + std::vector<int32_t> RHSInputShape { 1,2,2 }; + std::vector<int32_t> outputShape { 1,2,2 }; + + std::vector<int8_t> LHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<int8_t> RHSInputValues = { 5, 6, + 7, 8 }; + + std::vector<int8_t> expectedOutputValues = { 19, 22, + 43, 50 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul4DFp32SimpleTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 1,1,2,2 }; + std::vector<int32_t> RHSInputShape { 1,1,2,2 }; + std::vector<int32_t> outputShape { 1,1,2,2 }; + + std::vector<float> LHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<float> RHSInputValues = { 5, 6, + 7, 8 }; + + std::vector<float> expectedOutputValues = { 19, 22, + 43, 50 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul4DInt8SimpleTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 1,1,2,2}; + std::vector<int32_t> RHSInputShape { 1,1,2,2 }; + std::vector<int32_t> outputShape { 1,1,2,2 }; + + std::vector<int8_t> LHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<int8_t> RHSInputValues = { 5, 6, + 7, 8 }; + + std::vector<int8_t> expectedOutputValues = { 19, 22, + 43, 50 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3DFp32BatchTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,2,2 }; + std::vector<int32_t> RHSInputShape { 2,2,2 }; + std::vector<int32_t> outputShape { 2,2,2 }; + + std::vector<float> LHSInputValues = { 1, 2, + 3, 4, + + 9, 10, + 11, 12 }; + + std::vector<float> RHSInputValues = { 5, 6, + 7, 8, + + 13, 14, + 15, 16 }; + + std::vector<float> expectedOutputValues = { 19, 22, + 43, 50, + + 267, 286, + 323, 346 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3DInt8BatchTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,2,2 }; + std::vector<int32_t> RHSInputShape { 2,2,2 }; + std::vector<int32_t> outputShape { 2,2,2 }; + + std::vector<int8_t> LHSInputValues = { 1, 2, + 3, 4, + + 9, 10, + 11, 12 }; + + std::vector<int8_t> RHSInputValues = { 5, 6, + 7, 8, + + 1, 2, + 3, 4 }; + + std::vector<int8_t> expectedOutputValues = { 19, 22, + 43, 50, + + 39, 58, + 47, 70 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3DFp32BroadcastTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,2,2 }; + std::vector<int32_t> RHSInputShape { 1,2,2 }; + std::vector<int32_t> outputShape { 2,2,2 }; + + std::vector<float> LHSInputValues = { 1, 2, + 3, 4, + + 9, 10, + 11, 12 }; + + std::vector<float> RHSInputValues = { 13, 14, + 15, 16 }; + + std::vector<float> expectedOutputValues = { 43, 46, + 99, 106, + + 267, 286, + 323, 346 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3DInt8BroadcastTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,2,2 }; + std::vector<int32_t> RHSInputShape { 1,2,2 }; + std::vector<int32_t> outputShape { 2,2,2 }; + + std::vector<int8_t> LHSInputValues = { 1, 2, + 3, 4, + + 9, 10, + 11, 12 }; + + std::vector<int8_t> RHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<int8_t> expectedOutputValues = { 7, 10, + 15, 22, + + 39, 58, + 47, 70 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3D2DFp32BroadcastTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,2,2 }; + std::vector<int32_t> RHSInputShape { 2,2 }; + std::vector<int32_t> outputShape { 2,2,2 }; + + std::vector<float> LHSInputValues = { 1, 2, + 3, 4, + + 9, 10, + 11, 12 }; + + std::vector<float> RHSInputValues = { 13, 14, + 15, 16 }; + + std::vector<float> expectedOutputValues = { 43, 46, + 99, 106, + + 267, 286, + 323, 346 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul3D2DInt8BroadcastTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,2,2 }; + std::vector<int32_t> RHSInputShape { 2,2 }; + std::vector<int32_t> outputShape { 2,2,2 }; + + std::vector<int8_t> LHSInputValues = { 1, 2, + 3, 4, + + 9, 10, + 11, 12 }; + + std::vector<int8_t> RHSInputValues = { 1, 2, + 3, 4 }; + + std::vector<int8_t> expectedOutputValues = { 7, 10, + 15, 22, + + 39, 58, + 47, 70 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul2DFp32TinyTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 1,1 }; + std::vector<int32_t> RHSInputShape { 1,1 }; + std::vector<int32_t> outputShape { 1,1 }; + + std::vector<float> LHSInputValues = { 3 }; + + std::vector<float> RHSInputValues = { 5 }; + + std::vector<float> expectedOutputValues = { 15 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + void BatchMatMul2DInt8TinyTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 1,1 }; + std::vector<int32_t> RHSInputShape { 1,1 }; + std::vector<int32_t> outputShape { 1,1 }; + + std::vector<int8_t> LHSInputValues = { 3 }; + + std::vector<int8_t> RHSInputValues = { 5 }; + + std::vector<int8_t> expectedOutputValues = { 15 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMulNonSquareFp32Test(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,5,3 }; + std::vector<int32_t> RHSInputShape { 2,3,4 }; + std::vector<int32_t> outputShape { 2,5,4 }; + + std::vector<float> LHSInputValues = { 8, 8, 4, + 6, 1, 3, + 8, 8, 3, + 8, 9, 8, + 5, 4, 4, + + 1, 8, 5, + 7, 1, 1, + 8, 7, 9, + 3, 2, 7, + 8, 5, 3 }; + + std::vector<float> RHSInputValues = { 6, 2, 3, 2, + 6, 2, 2, 8, + 3, 7, 8, 1, + + 7, 2, 9, 5, + 2, 3, 1, 3, + 2, 7, 7, 5 }; + + std::vector<float> expectedOutputValues = { 108, 60, 72, 84, + 51, 35, 44, 23, + 105, 53, 64, 83, + 126, 90, 106, 96, + 66, 46, 55, 46, + + 33, 61, 52, 54, + 53, 24, 71, 43, + 88, 100, 142, 106, + 39, 61, 78, 56, + 72, 52, 98, 70 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMulNonSquareInt8Test(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 2,5,3 }; + std::vector<int32_t> RHSInputShape { 2,3,4 }; + std::vector<int32_t> outputShape { 2,5,4 }; + + std::vector<int8_t> LHSInputValues = { 8, 8, 4, + 6, 1, 3, + 8, 8, 3, + 8, 9, 8, + 5, 4, 4, + + 1, 8, 5, + 7, 1, 1, + 8, 7, 9, + 3, 2, 7, + 8, 5, 3 }; + + std::vector<int8_t> RHSInputValues = { 6, 2, 3, 2, + 6, 2, 2, 8, + 3, 7, 8, 1, + + 7, 2, 3, 5, + 2, 3, 1, 3, + 2, 7, 7, 5 }; + + std::vector<int8_t> expectedOutputValues = { 108, 60, 72, 84, + 51, 35, 44, 23, + 105, 53, 64, 83, + 126, 90, 106, 96, + 66, 46, 55, 46, + + 33, 61, 46, 54, + 53, 24, 29, 43, + 88, 100, 94, 106, + 39, 61, 60, 56, + 72, 52, 50, 70 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + false, + false); + } + + void BatchMatMul2DFp32SimpleAdjointTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 3,3 }; + std::vector<int32_t> RHSInputShape { 3,3 }; + std::vector<int32_t> outputShape { 3,3 }; + + std::vector<float> LHSInputValues = { 3, 1, 1, + 1, 3, -1, + 2, 4, 1 }; + + std::vector<float> RHSInputValues = { 1, 0, 0, + 0, 1, 0, + 0, 0, 1 }; + + std::vector<float> expectedOutputValues = { 3, 1, 2, + 1, 3, 4, + 1, -1, 1 }; + + BatchMatMulTest<float>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_FLOAT32, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + true, + false); + } + + void BatchMatMul2DInt8SimpleAdjointTest(std::vector<armnn::BackendId>& backends) + { + // Set input data + std::vector<int32_t> LHSInputShape { 3,3 }; + std::vector<int32_t> RHSInputShape { 3,3 }; + std::vector<int32_t> outputShape { 3,3 }; + + std::vector<int8_t> LHSInputValues = { 3, 1, 1, + 1, 3, -1, + 2, 4, 1 }; + + std::vector<int8_t> RHSInputValues = { 1, 0, 0, + 0, 1, 0, + 0, 0, 1 }; + + std::vector<int8_t> expectedOutputValues = { 3, 1, 2, + 1, 3, 4, + 1, -1, 1 }; + + BatchMatMulTest<int8_t>(tflite::BuiltinOperator_BATCH_MATMUL, + ::tflite::TensorType_INT8, + backends, + LHSInputShape, + RHSInputShape, + outputShape, + LHSInputValues, + RHSInputValues, + expectedOutputValues, + true, + false); + } + + TEST_SUITE("BATCH_MATMUL_CpuRefTests") + { + TEST_CASE("BATCH_MATMUL_Fp32_CpuRefTests") + { + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; + BatchMatMul2DFp32SimpleTest (backends); + BatchMatMul3DFp32SimpleTest (backends); + BatchMatMul4DFp32SimpleTest (backends); + BatchMatMul3DFp32BatchTest (backends); + BatchMatMul3DFp32BroadcastTest (backends); + BatchMatMul3D2DFp32BroadcastTest (backends); + BatchMatMul2DFp32TinyTest (backends); + BatchMatMulNonSquareFp32Test (backends); + BatchMatMul2DFp32SimpleAdjointTest(backends); + } + + TEST_CASE("BATCH_MATMUL_Int8_CpuRefTests") + { + std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; + BatchMatMul2DInt8SimpleTest (backends); + BatchMatMul3DInt8SimpleTest (backends); + BatchMatMul4DInt8SimpleTest (backends); + BatchMatMul3DInt8BatchTest (backends); + BatchMatMul3DInt8BroadcastTest (backends); + BatchMatMul3D2DInt8BroadcastTest (backends); + BatchMatMul2DInt8TinyTest (backends); + BatchMatMulNonSquareInt8Test (backends); + BatchMatMul2DInt8SimpleAdjointTest(backends); + } + } + +} |