diff options
Diffstat (limited to 'tests/validation/NEON/DeconvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DeconvolutionLayer.cpp | 41 |
1 files changed, 21 insertions, 20 deletions
diff --git a/tests/validation/NEON/DeconvolutionLayer.cpp b/tests/validation/NEON/DeconvolutionLayer.cpp index 19bd742a61..a42042bcd1 100644 --- a/tests/validation/NEON/DeconvolutionLayer.cpp +++ b/tests/validation/NEON/DeconvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -47,8 +47,9 @@ constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for constexpr AbsoluteTolerance<float> tolerance_quantized(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */ #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC const RelativeTolerance<half_float::half> tolerance_fp16(half_float::half(0.2f)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr float tolerance_num_fp16 = 0.01f; /**< Tolerance number for FP16 tests -- follows a slightly stricter approach compared to ConvolutionLayer tests */ #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/ -constexpr float tolerance_num = 0.07f; /**< Tolerance number */ +constexpr float tolerance_num_quant = 0.07f; /**< Tolerance number for quantized types */ const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 3) * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("NumKernels", { 3 }); @@ -231,7 +232,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture4x4<half>, framework::Dat add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_fp16); + validate(Accessor(_target), _reference, tolerance_fp16, tolerance_num_fp16); } TEST_SUITE_END() // W4x4 TEST_SUITE(W3x3) @@ -241,14 +242,14 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerFixture3x3<half>, framework add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_fp16); + validate(Accessor(_target), _reference, tolerance_fp16, tolerance_num_fp16); } FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset), add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_fp16); + validate(Accessor(_target), _reference, tolerance_fp16, tolerance_num_fp16); } TEST_SUITE_END() // W3x3 TEST_SUITE(W1x1) @@ -257,7 +258,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerFixture1x1<half>, framework::Dat add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_fp16); + validate(Accessor(_target), _reference, tolerance_fp16, tolerance_num_fp16); } TEST_SUITE_END() // W1x1 TEST_SUITE_END() // FP16 @@ -295,7 +296,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<uint8_t>, fr add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W4x4 @@ -309,7 +310,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3, framework::dataset::make("DataType", @@ -320,7 +321,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W3x3 @@ -333,7 +334,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture1x1<uint8_t>, fr add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W1x1 @@ -350,7 +351,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<int8_t>, fra add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W4x4 @@ -364,7 +365,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerQuantizedFixture3x3<int8_t> add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3, framework::dataset::make("DataType", @@ -375,7 +376,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<int8_t> add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W3x3 @@ -389,7 +390,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture1x1<int8_t>, fra add_bias_dataset)) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W1x1 @@ -412,7 +413,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedPerChannelFixture4x4<ui framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } FIXTURE_DATA_TEST_CASE(RunSigned, NEDeconvolutionLayerQuantizedPerChannelFixture4x4<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), @@ -423,7 +424,7 @@ FIXTURE_DATA_TEST_CASE(RunSigned, NEDeconvolutionLayerQuantizedPerChannelFixture framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W4x4 @@ -437,7 +438,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedPerChannelFixture3x3<ui framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } FIXTURE_DATA_TEST_CASE(RunSigned, NEDeconvolutionLayerQuantizedPerChannelFixture3x3<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), @@ -448,7 +449,7 @@ FIXTURE_DATA_TEST_CASE(RunSigned, NEDeconvolutionLayerQuantizedPerChannelFixture framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W3x3 @@ -462,7 +463,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedPerChannelFixture1x1<ui framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } FIXTURE_DATA_TEST_CASE(RunSigned, NEDeconvolutionLayerQuantizedPerChannelFixture1x1<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), @@ -473,7 +474,7 @@ FIXTURE_DATA_TEST_CASE(RunSigned, NEDeconvolutionLayerQuantizedPerChannelFixture framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output - validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num); + validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num_quant); } TEST_SUITE_END() // W1x1 |