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-rw-r--r--delegate/src/test/DepthwiseConvolution2dTest.cpp282
1 files changed, 0 insertions, 282 deletions
diff --git a/delegate/src/test/DepthwiseConvolution2dTest.cpp b/delegate/src/test/DepthwiseConvolution2dTest.cpp
deleted file mode 100644
index ca10f2c0cb..0000000000
--- a/delegate/src/test/DepthwiseConvolution2dTest.cpp
+++ /dev/null
@@ -1,282 +0,0 @@
-//
-// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ConvolutionTestHelper.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 DepthwiseConv2dValidReluFp32Test(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 1, 3, 2, 2 };
- std::vector<int32_t> filterShape { 1, 2, 2, 4 };
- std::vector<int32_t> biasShape { 4 };
- std::vector<int32_t> outputShape { 1, 3, 3, 1 };
-
- static std::vector<float> inputValues =
- {
- 1, 2, 7, 8,
- 3, 4, 9, 10,
- 5, 6, 11, 12
- };
-
- std::vector<float> filterValues =
- {
- 1, 2, 3, 4,
- -9, 10, -11, 12,
- 5, 6, 7, 8,
- 13, -14, 15, -16
- };
-
- std::vector<float> biasValues = { 1, 2, 3, 4 };
-
- std::vector<float> expectedOutputValues =
- {
- 71, 0, 99, 0,
- 91, 0, 127, 0
- };
-
- tflite::Padding padding = tflite::Padding_VALID;
- int32_t depth_multiplier = 2;
-
- ConvolutionTest<float>(tflite::BuiltinOperator_DEPTHWISE_CONV_2D,
- ::tflite::TensorType_FLOAT32,
- 1, // strideX
- 1, // strideY
- 1, // dilationX
- 1, // dilationY
- padding,
- tflite::ActivationFunctionType_RELU,
- backends,
- inputShape,
- filterShape,
- outputShape,
- inputValues,
- filterValues,
- expectedOutputValues,
- biasShape,
- biasValues,
- {1.0f}, // biasScale
- {0}, // biasOffset
- {1.0f}, // filterScale
- {0}, // filterOffsets
- 2.0f, // outputQuantScale
- 0, // outputQuantOffset
- 1.0f, // quantScale
- 0, // quantOffset
- depth_multiplier);
-}
-
-void DepthwiseConv2dSameUint8Test(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 1, 3, 3, 1 };
- std::vector<int32_t> filterShape { 1, 3, 3, 1 };
- std::vector<int32_t> biasShape { 1 } ;
- std::vector<int32_t> outputShape { 1, 3, 3, 1 };
-
- static std::vector<uint8_t> inputValues =
- {
- 0, 1, 2,
- 3, 4, 5,
- 6, 7, 8
- };
-
- std::vector<uint8_t> filterValues = { 9, 8, 7, 6, 5, 4, 3, 2, 1 };
-
- std::vector<int32_t> biasValues = { 10 };
-
- std::vector<uint8_t> expectedOutputValues =
- {
- 12, 23, 24, // ( 14+10)/2, ( 35+10)/2, ( 38+10)/2,
- 34, 65, 61, // ( 57+10)/2, (120+10)/2, (111+10)/2,
- 60, 104, 84 // (110+10)/2, (197+10)/2, (158+10)/2
- };
-
- tflite::Padding padding = tflite::Padding_SAME;
-
- ConvolutionTest<uint8_t, int32_t>(tflite::BuiltinOperator_DEPTHWISE_CONV_2D,
- ::tflite::TensorType_UINT8,
- 1, // strideX
- 1, // strideY
- 1, // dilationX
- 1, // dilationY
- padding,
- tflite::ActivationFunctionType_NONE,
- backends,
- inputShape,
- filterShape,
- outputShape,
- inputValues,
- filterValues,
- expectedOutputValues,
- biasShape,
- biasValues);
-}
-
-void DepthwiseConv2dSameInt8PerChannelTest(std::vector<armnn::BackendId>& backends)
-{
- // Set input data
- std::vector<int32_t> inputShape { 1, 4, 4, 4 };
- std::vector<int32_t> filterShape { 1, 2, 2, 16 };
- std::vector<int32_t> biasShape {16} ;
- std::vector<int32_t> outputShape { 1, 4, 4, 16 };
-
- static std::vector<int8_t> inputValues =
- {
- 3,3,3,4, 4,4,0,0, 0,3,4,3, 0,2,2,3,
- 3,0,3,0, 0,3,2,1, 4,1,2,2, 0,0,0,4,
- 3,2,2,2, 2,1,0,4, 4,3,2,4, 3,2,0,0,
- 4,1,4,4, 1,0,4,3, 3,2,0,3, 1,1,0,2
- };
-
- std::vector<int8_t> filterValues = { 12,20,10, 3, 2,24, 9,10, 5,16,30,12, 3,10, 4,32,
- 8, 0,30, 3, 0,16,12,15,20,12, 0, 3, 9,20, 8, 8,
- 12,15,20, 0, 0, 0, 3,15,15, 8,40,12, 9, 5, 2,24,
- 4, 0, 0, 6, 6, 0, 3, 5,20, 8,20, 3, 6,15, 4, 0 };
- std::vector<float> filterScales = { 0.25, 0.2, 0.1, 0.3333333333,
- 0.5, 0.125, 0.33333333, 0.2,
- 0.2, 0.25, 0.1, 0.333333333,
- 0.3333333333, 0.2, 0.5, 0.125 };
-
- int32_t filterQuantizationDim = 3;
-
- int32_t depth_multiplier = 4;
-
- std::vector<int32_t> biasValues = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
-
- float inputScale = 1.0f;
- std::vector<float> biasScales {};
- std::vector<int64_t> biasOffsets {};
- std::vector<int64_t> filterOffsets {};
- for (const auto& filterScale: filterScales)
- {
- biasScales.push_back(inputScale * filterScale);
- // filter and bias offset always needs to be zero for per channel. We don't support anything else
- biasOffsets.push_back(0);
- filterOffsets.push_back(0);
- }
-
- std::vector<int8_t> expectedOutputValues =
- {
- 26,21,21, 7,12,17,28,21,20,22,25,26, 6,11,10,16,
- 16,16, 4,12, 7,18,28,27,30,20,12,14,16,19,17, 6,
- 12,12, 8, 0, 3,13,18,15,18,26,20,26,26,32,28,21,
- 0, 0, 0, 0, 2, 6, 6, 4, 2, 8, 6, 8,15,10,10,24,
- 20,21, 9, 7, 3, 6,15,16,17,22,17,22,17,18,14, 7,
- 18, 6,16,12,12,11,17,15,18,18,10,12,27,26,22,18,
- 27,28,12,10, 7, 3, 8,13, 8,12,14,16,26,24,24,24,
- 9, 9, 6, 0, 0, 0, 2, 6, 0, 0, 0, 0, 4, 8, 8,16,
- 26,24,17, 7, 2, 8,11,10,30,24,30,28,32,33,30,24,
- 20,11,16,12, 7, 9,17,13,20,14,16,18,31,36,33,29,
- 28,25,19, 9, 6,13,20,19, 2, 8, 6, 8,17,17,15,25,
- 12,15, 5, 3, 2, 6, 7, 7, 0, 0, 0, 0, 6, 2, 2, 6,
- 14,16, 7, 5, 1, 3, 3, 2,20,28,12,20,13,20,20,19,
- 9, 4,10, 4, 0, 4, 8, 6, 4,16,12,16,12,18,18,15,
- 11,12, 6, 4, 2, 8,10, 7, 0, 0, 0, 0, 9,14,14,14,
- 3, 4, 1, 1, 1, 3, 3, 2, 0, 0, 0, 0, 2, 4, 4, 8
- };
-
- tflite::Padding padding = tflite::Padding_SAME;
-
- ConvolutionTest<int8_t, int32_t>(tflite::BuiltinOperator_DEPTHWISE_CONV_2D,
- ::tflite::TensorType_INT8,
- 1, // strideX
- 1, // strideY
- 1, // dilationX
- 1, // dilationY
- padding,
- tflite::ActivationFunctionType_NONE,
- backends,
- inputShape,
- filterShape,
- outputShape,
- inputValues,
- filterValues,
- expectedOutputValues,
- biasShape,
- biasValues,
- biasScales,
- biasOffsets,
- filterScales,
- filterOffsets,
- 1.0f,
- 0,
- inputScale,
- 0,
- depth_multiplier,
- filterQuantizationDim);
-}
-
-TEST_SUITE("DepthwiseConv2d_CpuRef_Tests")
-{
-
-TEST_CASE ("DepthwiseConv2d_Valid_Relu_Fp32_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
- DepthwiseConv2dValidReluFp32Test(backends);
-}
-
-TEST_CASE ("DepthwiseConv2d_Same_Uint8_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
- DepthwiseConv2dSameUint8Test(backends);
-}
-
-TEST_CASE ("DepthwiseConv2d_Same_Int8_PerChannelQuantization_CpuRef_Test")
-{
- std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef};
- DepthwiseConv2dSameInt8PerChannelTest(backends);
-}
-
-}//End of TEST_SUITE("DepthwiseConv2d_CpuRef_Tests")
-
-TEST_SUITE("DepthwiseConv2d_CpuAcc_Tests")
-{
-
-TEST_CASE ("DepthwiseConv2d_Valid_Relu_Fp32_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
- DepthwiseConv2dValidReluFp32Test(backends);
-}
-
-TEST_CASE ("DepthwiseConv2d_Same_Uint8_CpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = {armnn::Compute::CpuAcc};
- DepthwiseConv2dSameUint8Test(backends);
-}
-
-}//End of TEST_SUITE("DepthwiseConv2d_CpuAcc_Tests")
-
-TEST_SUITE("DepthwiseConv2d_GpuAcc_Tests")
-{
-
-TEST_CASE ("DepthwiseConv2d_Valid_Relu_Fp32_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
- DepthwiseConv2dValidReluFp32Test(backends);
-}
-
-TEST_CASE ("DepthwiseConv2d_Same_Uint8_GpuAcc_Test")
-{
- std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
- DepthwiseConv2dSameUint8Test(backends);
-}
-
-}//End of TEST_SUITE("DepthwiseConv2d_GpuAcc_Tests")
-
-} // namespace armnnDelegate \ No newline at end of file
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-25 21:33:35 +0000