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-rw-r--r--delegate/src/test/Pooling2dTest.cpp361
1 files changed, 361 insertions, 0 deletions
diff --git a/delegate/src/test/Pooling2dTest.cpp b/delegate/src/test/Pooling2dTest.cpp
new file mode 100644
index 0000000000..3671b0b172
--- /dev/null
+++ b/delegate/src/test/Pooling2dTest.cpp
@@ -0,0 +1,361 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "Pooling2dTestHelper.hpp"
+
+#include <armnn_delegate.hpp>
+
+#include <flatbuffers/flatbuffers.h>
+#include <tensorflow/lite/interpreter.h>
+#include <tensorflow/lite/kernels/register.h>
+#include <tensorflow/lite/model.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+#include <tensorflow/lite/version.h>
+
+#include <doctest/doctest.h>
+
+namespace armnnDelegate
+{
+
+void MaxPool2dFP32PaddingValidTest(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 1, 2, 1 };
+
+ std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+ 8.0f, 12.0f, -15.0f, 2.0f,
+ 3.0f, -4.0f, -1.0f, -11.0f };
+
+ std::vector<float> expectedOutputValues = { 12.0f, 7.0f };
+
+ Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_VALID,
+ 2,
+ 2,
+ 2,
+ 2);
+}
+
+void MaxPool2dInt8PaddingValidTest(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 1, 2, 1 };
+
+ std::vector<int8_t > inputValues = { -5, 8, -10, 7,
+ 8, 12, -15, 2,
+ 3, -4, -1, -11 };
+
+ std::vector<int8_t> expectedOutputValues = { 12, 7 };
+
+ Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_INT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_VALID,
+ 2,
+ 2,
+ 2,
+ 2,
+ tflite::ActivationFunctionType_NONE,
+ 2.5f,
+ 1);
+}
+
+void MaxPool2dFP32PaddingSameTest(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 2, 2, 1 };
+
+ std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f,
+ 8.0f, 12.0f, -15.0f, 2.0f,
+ 3.0f, -4.0f, -1.0f, -11.0f };
+
+ std::vector<float> expectedOutputValues = { 12.0f, 7.0f, 3.0f, -1.0f };
+
+ Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_SAME,
+ 2,
+ 2,
+ 2,
+ 2);
+}
+
+void MaxPool2dInt8PaddingSameTest(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 2, 2, 1 };
+
+ std::vector<int8_t> inputValues = { -5, 8, -10, 7,
+ 8, 12, -15, 2,
+ 3, -4, -1, -11 };
+
+ std::vector<int8_t> expectedOutputValues = { 12, 7, 3, -1 };
+
+ Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_INT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_SAME,
+ 2,
+ 2,
+ 2,
+ 2,
+ tflite::ActivationFunctionType_NONE,
+ 2.5f,
+ 1);
+}
+
+void MaxPool2dFP32ReluTest(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 2, 3, 1 };
+
+ std::vector<float> inputValues = { -5.0f, -8.0f, -10.0f, 7.0f,
+ -8.0f, -12.0f, -15.0f, 2.0f,
+ 3.0f, -4.0f, -1.0f, -11.0f };
+
+ std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 7.0f, 3.0f, 0.0f, 2.0f };
+
+ Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_VALID,
+ 1,
+ 1,
+ 2,
+ 2,
+ ::tflite::ActivationFunctionType_RELU);
+}
+
+void MaxPool2dInt8ReluTest(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 2, 3, 1 };
+
+ std::vector<int8_t> inputValues = { -5, -8, -10, 7,
+ -8, -12, -15, 2,
+ 3, -4, -1, -11 };
+
+ std::vector<int8_t> expectedOutputValues = { 1, 1, 7, 3, 1, 2 };
+
+ Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_INT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_VALID,
+ 1,
+ 1,
+ 2,
+ 2,
+ ::tflite::ActivationFunctionType_RELU,
+ 2.0f,
+ 1);
+}
+
+void MaxPool2dFP32Relu6Test(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 2, 2, 1 };
+
+ std::vector<float> inputValues = { -5.0f, -8.0f, -10.0f, 7.0f,
+ -8.0f, -12.0f, -15.0f, 2.0f,
+ 3.0f, -4.0f, -1.0f, -11.0f };
+
+ std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 3.0f, 0.0f };
+
+ Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_FLOAT32,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_SAME,
+ 2,
+ 2,
+ 1,
+ 1,
+ ::tflite::ActivationFunctionType_RELU6);
+}
+
+void MaxPool2dInt8Relu6Test(std::vector<armnn::BackendId>& backends)
+{
+ // Set input data
+ std::vector<int32_t> inputShape { 1, 3, 4, 1 };
+ std::vector<int32_t> outputShape { 1, 2, 2, 1 };
+
+ std::vector<int8_t> inputValues = { -5, -8, -10, 7,
+ -8, -12, -15, 2,
+ 3, -4, -1, -11 };
+
+ std::vector<int8_t> expectedOutputValues = { 1, 1, 3, 1 };
+
+ Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D,
+ ::tflite::TensorType_INT8,
+ backends,
+ inputShape,
+ outputShape,
+ inputValues,
+ expectedOutputValues,
+ ::tflite::Padding_SAME,
+ 2,
+ 2,
+ 1,
+ 1,
+ ::tflite::ActivationFunctionType_RELU6,
+ 2.0f,
+ 1);
+}
+
+TEST_SUITE("Pooling2dTest")
+{
+
+TEST_CASE ("MaxPooling2d_FP32_PaddingValid_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32PaddingValidTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_FP32_PaddingValid_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32PaddingValidTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_PaddingValid_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8PaddingValidTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_PaddingValid_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8PaddingValidTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_FP32_PaddingSame_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32PaddingSameTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_FP32_PaddingSame_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32PaddingSameTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_PaddingSame_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8PaddingSameTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_PaddingSame_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8PaddingSameTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_FP32_Relu_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32ReluTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_FP32_Relu_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32ReluTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_Relu_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8ReluTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_Relu_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8ReluTest(backends);
+}
+
+TEST_CASE ("MaxPooling2d_FP32_Relu6_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32Relu6Test(backends);
+}
+
+TEST_CASE ("MaxPooling2d_FP32_Relu6_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dFP32Relu6Test(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_Relu6_GpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8Relu6Test(backends);
+}
+
+TEST_CASE ("MaxPooling2d_Int8_Relu6_CpuAcc_Test")
+{
+ std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc,
+ armnn::Compute::CpuRef };
+ MaxPool2dInt8Relu6Test(backends);
+}
+
+}
+
+} // namespace armnnDelegate \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-02 13:31:23 +0000