| // |
| // 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); |
| } |
| |
| void MaxPool2dUint8PaddingSameTest(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<uint8_t> inputValues = { 5, 8, 10, 7, |
| 8, 12, 15, 2, |
| 3, 4, 1, 11 }; |
| |
| std::vector<uint8_t> expectedOutputValues = { 12, 15, 4, 11 }; |
| |
| Pooling2dTest<uint8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| ::tflite::TensorType_UINT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 2, |
| 2, |
| tflite::ActivationFunctionType_NONE, |
| 2.5f, |
| 1); |
| } |
| |
| void MaxPool2dUint8ReluTest(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<uint8_t> inputValues = { 12, 8, 10, 15, |
| 8, 5, 7, 2, |
| 3, 4, 1, 11 }; |
| |
| std::vector<uint8_t> expectedOutputValues = { 12, 10, 15, 8, 7, 11 }; |
| |
| Pooling2dTest<uint8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| ::tflite::TensorType_UINT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 1, |
| 1, |
| 2, |
| 2, |
| ::tflite::ActivationFunctionType_RELU, |
| 2.0f, |
| 1); |
| } |
| |
| void MaxPool2dInt16PaddingSameTest(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<int16_t> inputValues = { -5, 8, -10, 7, |
| 8, 12, -15, 2, |
| 3, -4, -1, -11 }; |
| |
| std::vector<int16_t> expectedOutputValues = { 12, 7, 3, -1 }; |
| |
| Pooling2dTest<int16_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| ::tflite::TensorType_INT16, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 2, |
| 2, |
| tflite::ActivationFunctionType_NONE, |
| 2.5f, |
| 0); |
| } |
| |
| void MaxPool2dInt16ReluTest(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<int16_t> inputValues = { -5, -8, -10, 7, |
| -8, -12, -15, 2, |
| 3, -4, -1, -11 }; |
| |
| std::vector<int16_t> expectedOutputValues = { 0, 0, 7, 3, 0, 2 }; |
| |
| Pooling2dTest<int16_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| ::tflite::TensorType_INT16, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 1, |
| 1, |
| 2, |
| 2, |
| ::tflite::ActivationFunctionType_RELU, |
| 2.0f, |
| 0); |
| } |
| |
| void AveragePool2dFP32PaddingValidTest(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 = { 5.75f, -4.0f }; |
| |
| Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 2, |
| 2, |
| 2, |
| 2); |
| } |
| |
| void AveragePool2dInt8PaddingValidTest(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 = { 6, -4 }; |
| |
| Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_INT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 2, |
| 2, |
| 2, |
| 2, |
| tflite::ActivationFunctionType_NONE, |
| 2.5f, |
| 1); |
| } |
| |
| void AveragePool2dFP32PaddingSameTest(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 = { 5.75f, -4.0f, -0.5f, -6.0f }; |
| |
| Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 2, |
| 2); |
| } |
| |
| void AveragePool2dInt8PaddingSameTest(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 = { 6, -4, -1, -6 }; |
| |
| Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_INT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 2, |
| 2, |
| tflite::ActivationFunctionType_NONE, |
| 2.5f, |
| 1); |
| } |
| |
| void AveragePool2dFP32ReluTest(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 = { 1.75f, 0.0f, 0.0f, 0.75f, 0.0f, 0.0f }; |
| |
| Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 1, |
| 1, |
| 2, |
| 2, |
| ::tflite::ActivationFunctionType_RELU); |
| } |
| |
| void AveragePool2dInt8ReluTest(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 = { 2, 1, 1, 1, 1, 1 }; |
| |
| Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_INT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 1, |
| 1, |
| 2, |
| 2, |
| ::tflite::ActivationFunctionType_RELU, |
| 2.5f, |
| 1); |
| } |
| |
| void AveragePool2dFP32Relu6Test(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_AVERAGE_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 1, |
| 1, |
| ::tflite::ActivationFunctionType_RELU6); |
| } |
| |
| void AveragePool2dInt8Relu6Test(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_AVERAGE_POOL_2D, |
| ::tflite::TensorType_INT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 1, |
| 1, |
| ::tflite::ActivationFunctionType_RELU6, |
| 2.5f, |
| 1); |
| } |
| |
| void AveragePool2dUint8PaddingSameTest(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<uint8_t> inputValues = { 5, 8, 10, 7, |
| 8, 12, 15, 2, |
| 3, 4, 1, 11 }; |
| |
| std::vector<uint8_t> expectedOutputValues = { 8, 9, 4, 6 }; |
| |
| Pooling2dTest<uint8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_UINT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 2, |
| 2, |
| tflite::ActivationFunctionType_NONE, |
| 2.5f, |
| 1); |
| } |
| |
| void AveragePool2dUint8ReluTest(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<uint8_t> inputValues = { 12, 8, 10, 15, |
| 8, 5, 7, 2, |
| 3, 4, 1, 11 }; |
| |
| std::vector<uint8_t> expectedOutputValues = { 8, 8, 9, 5, 4, 5 }; |
| |
| Pooling2dTest<uint8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_UINT8, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 1, |
| 1, |
| 2, |
| 2, |
| ::tflite::ActivationFunctionType_RELU, |
| 2.0f, |
| 1); |
| } |
| |
| void AveragePool2dInt16PaddingSameTest(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<int16_t > inputValues = { -5, 8, -10, 7, |
| 8, 12, -15, 2, |
| 3, -4, -1, -11 }; |
| |
| std::vector<int16_t> expectedOutputValues = { 6, -4, -1, -6 }; |
| |
| Pooling2dTest<int16_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_INT16, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 2, |
| 2, |
| tflite::ActivationFunctionType_NONE, |
| 2.5f, |
| 0); |
| } |
| |
| void AveragePool2dInt16ReluTest(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<int16_t> inputValues = { -5, 8, -10, 7, |
| -8, 12, -15, 2, |
| 3, -4, -1, 11 }; |
| |
| std::vector<int16_t> expectedOutputValues = { 2, 0, 0, 1, 0, 0 }; |
| |
| Pooling2dTest<int16_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| ::tflite::TensorType_INT16, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 1, |
| 1, |
| 2, |
| 2, |
| ::tflite::ActivationFunctionType_RELU, |
| 2.5f, |
| 0); |
| } |
| |
| void L2Pool2dFP32PaddingValidTest(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 = { 8.616844f, 9.721111f }; |
| |
| Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 2, |
| 2, |
| 2, |
| 2); |
| } |
| |
| void L2Pool2dFP32PaddingSameTest(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 = { 8.616844f, 9.721111f, 3.535534f, 7.81025f }; |
| |
| Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 2, |
| 2); |
| } |
| |
| void L2Pool2dFP32ReluTest(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 = { 8.616844f, 11.543396f, 9.721111f, 7.632169f, 9.8234415f, 9.367497f }; |
| |
| Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_VALID, |
| 1, |
| 1, |
| 2, |
| 2, |
| ::tflite::ActivationFunctionType_RELU); |
| } |
| |
| void L2Pool2dFP32Relu6Test(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 = { 5.0f, 6.0f, 3.0f, 1.0f }; |
| |
| Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| ::tflite::TensorType_FLOAT32, |
| backends, |
| inputShape, |
| outputShape, |
| inputValues, |
| expectedOutputValues, |
| ::tflite::Padding_SAME, |
| 2, |
| 2, |
| 1, |
| 1, |
| ::tflite::ActivationFunctionType_RELU6); |
| } |
| |
| TEST_SUITE("Pooling2d_GpuAccTests") |
| { |
| |
| TEST_CASE ("MaxPooling2d_FP32_PaddingValid_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_PaddingValid_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dInt8PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_PaddingSame_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_PaddingSame_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dInt8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_Relu_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_Relu_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dInt8ReluTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_Relu6_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dFP32Relu6Test(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_Relu6_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dInt8Relu6Test(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dUint8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Uint8_Relu_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| MaxPool2dUint8ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_PaddingValid_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_PaddingValid_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dInt8PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_PaddingSame_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_PaddingSame_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dInt8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_Relu_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_Relu6_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dFP32Relu6Test(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_Relu_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dInt8ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_Relu6_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dInt8Relu6Test(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dUint8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Uint8_Relu_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| AveragePool2dUint8ReluTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_PaddingValid_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| L2Pool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_PaddingSame_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| L2Pool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_Relu_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| L2Pool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_Relu6_GpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| L2Pool2dFP32Relu6Test(backends); |
| } |
| |
| } // TEST_SUITE("Pooling2d_GpuAccTests") |
| |
| TEST_SUITE("Pooling2d_CpuAccTests") |
| { |
| |
| TEST_CASE ("MaxPooling2d_FP32_PaddingValid_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_PaddingValid_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dInt8PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_PaddingSame_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_PaddingSame_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dInt8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_Relu_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_Relu_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dInt8ReluTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_Relu6_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dFP32Relu6Test(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_Relu6_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dInt8Relu6Test(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dUint8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Uint8_Relu_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| MaxPool2dUint8ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_PaddingValid_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_PaddingValid_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dInt8PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_PaddingSame_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_PaddingSame_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dInt8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_Relu_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_Relu6_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dFP32Relu6Test(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_Relu_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dInt8ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_Relu6_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dInt8Relu6Test(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dUint8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Uint8_Relu_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| AveragePool2dUint8ReluTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_PaddingValid_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| L2Pool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_PaddingSame_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| L2Pool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_Relu_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| L2Pool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_Relu6_CpuAcc_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| L2Pool2dFP32Relu6Test(backends); |
| } |
| |
| } // TEST_SUITE("Pooling2d_CpuAccTests") |
| |
| TEST_SUITE("Pooling2d_CpuRefTests") |
| { |
| |
| TEST_CASE ("MaxPooling2d_FP32_PaddingValid_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_PaddingValid_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dInt8PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dInt8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dInt8ReluTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_FP32_Relu6_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dFP32Relu6Test(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int8_Relu6_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dInt8Relu6Test(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dUint8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Uint8_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dUint8ReluTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int16_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dInt16PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("MaxPooling2d_Int16_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| MaxPool2dInt16ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_PaddingValid_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_PaddingValid_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dInt8PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dInt8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_FP32_Relu6_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dFP32Relu6Test(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dInt8ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int8_Relu6_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dInt8Relu6Test(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dUint8PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Uint8_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dUint8ReluTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int16_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dInt16PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("AveragePooling2d_Int16_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| AveragePool2dInt16ReluTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_PaddingValid_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| L2Pool2dFP32PaddingValidTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_PaddingSame_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| L2Pool2dFP32PaddingSameTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_Relu_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| L2Pool2dFP32ReluTest(backends); |
| } |
| |
| TEST_CASE ("L2Pooling2d_FP32_Relu6_CpuRef_Test") |
| { |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| L2Pool2dFP32Relu6Test(backends); |
| } |
| |
| } // TEST_SUITE("Pooling2d_CpuRefTests") |
| |
| } // namespace armnnDelegate |