diff options
Diffstat (limited to 'tests/validation/CL/DeconvolutionLayer.cpp')
| -rw-r--r-- | tests/validation/CL/DeconvolutionLayer.cpp | 240 |
1 files changed, 194 insertions, 46 deletions
diff --git a/tests/validation/CL/DeconvolutionLayer.cpp b/tests/validation/CL/DeconvolutionLayer.cpp index 15962b588d..d1508fd902 100644 --- a/tests/validation/CL/DeconvolutionLayer.cpp +++ b/tests/validation/CL/DeconvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -53,27 +53,29 @@ const auto data9x9_small_asymm = framework::dataset::make("InputShape", TensorSh *framework::dataset::make("PadLeft", 3) *framework::dataset::make("PadRight", 4) *framework::dataset::make("PadTop", 3) *framework::dataset::make("PadBottom", 4) *framework::dataset::make("NumKernels", { 1 }); -const auto data9x9_large_asymm = framework::dataset::make("InputShape", TensorShape{ 640U, 360U, 56U, 1U }) *framework::dataset::make("StrideX", 2) *framework::dataset::make("StrideY", - 2) - *framework::dataset::make("PadLeft", 3) - *framework::dataset::make("PadRight", 4) *framework::dataset::make("PadTop", 3) *framework::dataset::make("PadBottom", 4) *framework::dataset::make("NumKernels", { 1 }); - -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 }); - -const auto data3x3 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 2) +const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4, 2) * framework::dataset::make("StrideY", 2, 4) * framework::dataset::make("PadX", 1, 3) * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("NumKernels", { 3 }); +const auto data3x3 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 2, 4) * framework::dataset::make("StrideY", 1, 4, 2) * framework::dataset::make("PadX", 1, 2) + * framework::dataset::make("PadY", 1, 3) * framework::dataset::make("NumKernels", { 3 }); + const auto data3x3_asymm = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 2) * framework::dataset::make("StrideY", 1, 2) * framework::dataset::make("PadLeft", 0, 1) * framework::dataset::make("PadRight", 0, 1) * framework::dataset::make("PadTop", 0, 1) * framework::dataset::make("PadBottom", 0, 1) * framework::dataset::make("NumKernels", { 3 }); const auto data3x3_precommit = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 2) * framework::dataset::make("StrideY", 1, 2) * framework::dataset::make("PadX", 0, 2) * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("NumKernels", { 3 }); +const auto data3x3_precommit_large_channels = datasets::SmallDeconvolutionShapesWithLargerChannels() * framework::dataset::make("StrideX", 2) * framework::dataset::make("StrideY", 2) + * framework::dataset::make("PadX", 1) + * framework::dataset::make("PadY", 2) * framework::dataset::make("NumKernels", { 5 }); + const auto data2x2_precommit = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 2) * framework::dataset::make("StrideY", 2) * framework::dataset::make("PadX", 1) * framework::dataset::make("PadY", 1) * framework::dataset::make("NumKernels", { 3 }); -const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 1) +const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4, 2) * framework::dataset::make("StrideY", 2, 4) * framework::dataset::make("PadX", 0, 1) + * framework::dataset::make("PadY", 0, 1) * framework::dataset::make("NumKernels", { 3 }); + +const auto data5x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 2, 4) * framework::dataset::make("StrideY", 1, 4, 2) * framework::dataset::make("PadX", 0, 1) * framework::dataset::make("PadY", 0, 1) * framework::dataset::make("NumKernels", { 3 }); const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }); @@ -90,9 +92,15 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid weights shape TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), // Non supported data type - TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid bias shape + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid bias shape TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), // Window shrink TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(2U, 13U, 27U), 1, DataType::F32, DataLayout::NHWC), // Mismatching data type + TensorInfo(TensorShape(2U, 13U, 27U), 1, DataType::F32, DataLayout::NHWC), // Invalid weights shape + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16, DataLayout::NHWC), // Non supported data type + TensorInfo(TensorShape(2U, 13U, 27U), 1, DataType::F32, DataLayout::NHWC), // Invalid bias shape + TensorInfo(TensorShape(4U, 11U, 13U, 3U), 1, DataType::F32, DataLayout::NHWC), // Window shrink + TensorInfo(TensorShape(2U, 16U, 32U), 1, DataType::F32, DataLayout::NHWC), }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32), @@ -100,6 +108,12 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(2U, 3U, 3U, 2U), 1, DataType::F16, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 3U, 3U, 4U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 2U, 3U, 2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(4U, 3U, 3U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 2U, 2U, 4U), 1, DataType::F32, DataLayout::NHWC), })), framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16), TensorInfo(TensorShape(1U), 1, DataType::F32), @@ -107,6 +121,12 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( TensorInfo(TensorShape(25U, 11U), 1, DataType::F32), TensorInfo(TensorShape(1U), 1, DataType::F32), TensorInfo(TensorShape(4U), 1, DataType::F32), + TensorInfo(TensorShape(1U), 1, DataType::F16, DataLayout::NHWC), + TensorInfo(TensorShape(1U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(1U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(25U, 11U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(1U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(4U), 1, DataType::F32, DataLayout::NHWC), })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16), TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32), @@ -114,6 +134,12 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32), TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(2U, 11U, 25U), 1, DataType::F16, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 10U, 25U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(2U, 13U, 13U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(1U, 9U, 11U, 3U), 1, DataType::F32, DataLayout::NHWC), + TensorInfo(TensorShape(4U, 43U, 91U), 1, DataType::F32, DataLayout::NHWC), })), framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), @@ -121,8 +147,15 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 0, 0), + PadStrideInfo(1, 1, 1, 1), + PadStrideInfo(3, 3, 2, 2), })), - framework::dataset::make("Expected", { false, false, false, false, false, true })), + framework::dataset::make("Expected", { false, false, false, false, false, true, // NCHW + false, false, false, false, false, true })), // NHWC input_info, weights_info, bias_info, output_info, pad_info, expected) { bool is_valid = bool(CLDeconvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pad_info)); @@ -149,6 +182,9 @@ using CLDeconvolutionLayerFixture1x1 = DeconvolutionValidationFixture<CLTensor, template <typename T> using CLDeconvolutionLayerAsymmFixture9x9 = DeconvolutionValidationAsymmFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 9, 9>; +template <typename T> +using CLDeconvolutionLayerFixture5x1 = DeconvolutionValidationFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 5, 1>; + TEST_SUITE(Float) TEST_SUITE(FP32) @@ -171,6 +207,17 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerFixture3x3<float>, framewor // Validate output validate(CLAccessor(_target), _reference, tolerance_fp32); } + +FIXTURE_DATA_TEST_CASE(RunSmallWithLargeChannels, CLDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data3x3_precommit_large_channels, + framework::dataset::make("DataType", + DataType::F32)), + data_layouts_dataset), + framework::dataset::make("AddBias", { true }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} + FIXTURE_DATA_TEST_CASE(RunAsymm, CLDeconvolutionLayerAsymmFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3_asymm, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset), @@ -180,8 +227,8 @@ FIXTURE_DATA_TEST_CASE(RunAsymm, CLDeconvolutionLayerAsymmFixture3x3<float>, fra validate(CLAccessor(_target), _reference, tolerance_fp32); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::F32)), - data_layouts_dataset), - add_bias_dataset)) + framework::dataset::make("DataLayout", { DataLayout::NHWC })), + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_fp32); @@ -202,7 +249,7 @@ TEST_SUITE_END() // W2x2 TEST_SUITE(W1x1) FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_fp32); @@ -218,6 +265,17 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerAsymmFixture9x9<float>, fra validate(CLAccessor(_target), _reference, tolerance_fp32); } TEST_SUITE_END() // W9x9 + +TEST_SUITE(W5x1) +FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture5x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data5x1, framework::dataset::make("DataType", DataType::F32)), + data_layouts_dataset), + framework::dataset::make("AddBias", { true }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fp32); +} +TEST_SUITE_END() // W5x1 + TEST_SUITE_END() // FP32 TEST_SUITE(FP16) @@ -225,7 +283,7 @@ TEST_SUITE(FP16) TEST_SUITE(W4x4) FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); @@ -242,8 +300,8 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerFixture3x3<half>, framework validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)), - data_layouts_dataset), - add_bias_dataset)) + framework::dataset::make("DataLayout", { DataLayout::NHWC })), + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); @@ -264,13 +322,23 @@ TEST_SUITE_END() // W2x2 TEST_SUITE(W1x1) FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); } TEST_SUITE_END() // W1x1 +TEST_SUITE(W5x1) +FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture5x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data5x1, framework::dataset::make("DataType", DataType::F16)), + data_layouts_dataset), + framework::dataset::make("AddBias", { true }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); +} +TEST_SUITE_END() // W5x1 + TEST_SUITE_END() // FP16 TEST_SUITE_END() // Float @@ -287,6 +355,9 @@ template <typename T> using CLDeconvolutionLayerQuantizedFixture1x1 = DeconvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 1, 1>; template <typename T> +using CLDeconvolutionLayerQuantizedFixture5x1 = DeconvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 5, 1>; + +template <typename T> using CLDeconvolutionLayerQuantizedPerChannelFixture4x4 = DeconvolutionValidationQuantizedPerChannelFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, int8_t, 4, 4>; template <typename T> @@ -298,6 +369,9 @@ using CLDeconvolutionLayerQuantizedPerChannelFixture2x2 = DeconvolutionValidatio template <typename T> using CLDeconvolutionLayerQuantizedPerChannelFixture1x1 = DeconvolutionValidationQuantizedPerChannelFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, int8_t, 1, 1>; +template <typename T> +using CLDeconvolutionLayerQuantizedPerChannelFixture5x1 = DeconvolutionValidationQuantizedPerChannelFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, int8_t, 5, 1>; + TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) @@ -307,7 +381,7 @@ FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4<uint8_t>, fr data_layouts_dataset), framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })), framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); @@ -327,12 +401,11 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3, - framework::dataset::make("DataType", - DataType::QASYMM8)), - data_layouts_dataset), + framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("DataLayout", { DataLayout::NHWC })), framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 128) })), framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 128), QuantizationInfo(4.f / 255.f, 128) })), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); @@ -358,13 +431,26 @@ FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture1x1<uint8_t>, fr data_layouts_dataset), framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 0), QuantizationInfo(2.f / 255.f, 0) })), framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 0), QuantizationInfo(4.f / 255.f, 0) })), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } TEST_SUITE_END() // W1x1 +TEST_SUITE(W5x1) +FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture5x1<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data5x1, framework::dataset::make("DataType", + DataType::QASYMM8)), + data_layouts_dataset), + framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })), + framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })), + framework::dataset::make("AddBias", { true }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +TEST_SUITE_END() // W5x1 + TEST_SUITE_END() // QASYMM8 TEST_SUITE(QASYMM8_SIGNED) @@ -378,7 +464,7 @@ FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4<int8_t>, fra data_layouts_dataset), framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })), framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); @@ -400,12 +486,11 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedFixture3x3<int8_t> } FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3, - framework::dataset::make("DataType", - DataType::QASYMM8_SIGNED)), - data_layouts_dataset), + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + framework::dataset::make("DataLayout", { DataLayout::NHWC })), framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, -10), QuantizationInfo(2.f / 255.f, 127) })), framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 64), QuantizationInfo(4.f / 255.f, -128) })), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); @@ -431,13 +516,26 @@ FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture1x1<int8_t>, fra data_layouts_dataset), framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 0), QuantizationInfo(2.f / 255.f, 0) })), framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 0), QuantizationInfo(4.f / 255.f, 0) })), - add_bias_dataset)) + framework::dataset::make("AddBias", { true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } TEST_SUITE_END() // W1x1 +TEST_SUITE(W5x1) +FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture5x1<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data5x1, framework::dataset::make("DataType", + DataType::QASYMM8_SIGNED)), + data_layouts_dataset), + framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })), + framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })), + framework::dataset::make("AddBias", { true }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +TEST_SUITE_END() // W5x1 + TEST_SUITE_END() // QASYMM8_SIGNED const auto input_qinfo_dataset = framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10) }); @@ -448,23 +546,23 @@ const auto output_signed_qinfo_dataset = framework::dataset::make("OutputQuantiz TEST_SUITE(QSYMM8_PER_CHANNEL) TEST_SUITE(W4x4) -FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture4x4<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data4x4, +FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture4x4<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::QASYMM8)), data_layouts_dataset), input_qinfo_dataset), output_qinfo_dataset), - add_bias_dataset), + framework::dataset::make("AddBias", { true })), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } -FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture4x4<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data4x4, +FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture4x4<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), data_layouts_dataset), input_signed_qinfo_dataset), output_signed_qinfo_dataset), - add_bias_dataset), + framework::dataset::make("AddBias", { true })), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output @@ -473,32 +571,57 @@ FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFi TEST_SUITE_END() // W4x4 TEST_SUITE(W3x3) -FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture3x3<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data3x3, +FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::QASYMM8)), data_layouts_dataset), input_qinfo_dataset), output_qinfo_dataset), - add_bias_dataset), + framework::dataset::make("AddBias", { true })), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } -FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture3x3<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data3x3, +FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture3x3<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), data_layouts_dataset), input_signed_qinfo_dataset), output_signed_qinfo_dataset), - add_bias_dataset), + framework::dataset::make("AddBias", { true })), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } + +FIXTURE_DATA_TEST_CASE(RunSmallSignedPrecommit, CLDeconvolutionLayerQuantizedPerChannelFixture2x2<int8_t>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(combine(combine(data3x3_precommit, + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + data_layouts_dataset), + input_signed_qinfo_dataset), + output_signed_qinfo_dataset), + add_bias_dataset), + framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} TEST_SUITE_END() // W3x3 +FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture2x2<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(data3x3_precommit, + framework::dataset::make("DataType", DataType::QASYMM8)), + data_layouts_dataset), + input_qinfo_dataset), + output_qinfo_dataset), + add_bias_dataset), + framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} + TEST_SUITE(W2x2) -FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture2x2<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data2x2_precommit, +FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture2x2<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(data2x2_precommit, framework::dataset::make("DataType", DataType::QASYMM8)), data_layouts_dataset), input_qinfo_dataset), @@ -509,7 +632,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture2 // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } -FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture2x2<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data2x2_precommit, +FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture2x2<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(data2x2_precommit, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), data_layouts_dataset), input_signed_qinfo_dataset), @@ -523,23 +646,23 @@ FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFi TEST_SUITE_END() // W2x2 TEST_SUITE(W1x1) -FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture1x1<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data1x1, +FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture1x1<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::QASYMM8)), data_layouts_dataset), input_qinfo_dataset), output_qinfo_dataset), - add_bias_dataset), + framework::dataset::make("AddBias", { false })), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); } -FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture1x1<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(data1x1, +FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture1x1<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), data_layouts_dataset), input_signed_qinfo_dataset), output_signed_qinfo_dataset), - add_bias_dataset), + framework::dataset::make("AddBias", { true })), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) { // Validate output @@ -547,6 +670,31 @@ FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFi } TEST_SUITE_END() // W1x1 +TEST_SUITE(W5x1) +FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedPerChannelFixture5x1<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data5x1, + framework::dataset::make("DataType", DataType::QASYMM8)), + data_layouts_dataset), + input_qinfo_dataset), + output_qinfo_dataset), + framework::dataset::make("AddBias", { true })), + framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +FIXTURE_DATA_TEST_CASE(RunSmallSigned, CLDeconvolutionLayerQuantizedPerChannelFixture5x1<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(data5x1, + framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), + data_layouts_dataset), + input_signed_qinfo_dataset), + output_signed_qinfo_dataset), + framework::dataset::make("AddBias", { false })), + framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num); +} +TEST_SUITE_END() // W5x1 + TEST_SUITE_END() // QSYMM8_PER_CHANNEL TEST_SUITE_END() // Quantized |