| /* |
| * Copyright (c) 2018-2020 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/Types.h" |
| #include "src/core/CL/kernels/CLIm2ColKernel.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/CL/Helper.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/Im2ColFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(CL) |
| TEST_SUITE(Im2Col) |
| |
| using CLIm2Col = CLSynthetizeFunction<CLIm2ColKernel>; |
| |
| /** Negative tests |
| * |
| * A series of validation tests on configurations which according to the API specification |
| * the function should fail against. |
| * |
| * Checks performed in order: |
| * - Pass unsupported data type for input |
| * - Pass a quantized input and ask to compress the bias into the resulting matrix |
| * - Pass a dilation factor of 0 |
| * - Check NHWC data layout while requesting to perform a grouped operation |
| * - Check NCHW grouped operation when the number of channels is not multiple of the groups |
| * - Pass an invalid output shape |
| */ |
| TEST_CASE(Negative, framework::DatasetMode::ALL) |
| { |
| // Unsupported data type |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::SIZET); |
| const auto output = TensorInfo(TensorShape(9U, 10U, 12U, 2U), 1, DataType::F32); |
| const auto conv_size = Size2D(3, 3); |
| const bool has_bias = false; |
| const auto status = CLIm2ColKernel::validate(&input, &output, conv_size, PadStrideInfo(), has_bias); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // Passing quantized input and ask to merge the bias in the output |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::QASYMM8); |
| const auto output = TensorInfo(TensorShape(9U, 80U, 2U), 1, DataType::QASYMM8); |
| const auto conv_size = Size2D(3, 3); |
| const bool has_bias = true; |
| const auto status = CLIm2ColKernel::validate(&input, &output, conv_size, PadStrideInfo(), has_bias); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // Invalid dilation |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32); |
| const auto output = TensorInfo(TensorShape(9U, 80U, 2U), 1, DataType::F32); |
| const auto conv_size = Size2D(3, 3); |
| const auto dilation = Size2D(0, 1); |
| const bool has_bias = false; |
| const auto status = CLIm2ColKernel::validate(&input, &output, conv_size, PadStrideInfo(), has_bias, dilation); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // NHWC and grouping greater than 1 |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32, DataLayout::NHWC); |
| const auto output = TensorInfo(TensorShape(9U, 80U, 2U), 1, DataType::F32); |
| const auto conv_size = Size2D(3, 3); |
| const auto dilation = Size2D(1, 1); |
| const bool has_bias = false; |
| const unsigned int num_groups = 2; |
| const auto status = CLIm2ColKernel::validate(&input, &output, conv_size, PadStrideInfo(), has_bias, dilation, num_groups); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // NCWH and channels % num_groups !=0 |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32, DataLayout::NCHW); |
| const auto output = TensorInfo(TensorShape(9U, 80U, 2U), 1, DataType::F32); |
| const auto conv_size = Size2D(3, 3); |
| const auto dilation = Size2D(1, 1); |
| const bool has_bias = false; |
| const unsigned int num_groups = 2; |
| const auto status = CLIm2ColKernel::validate(&input, &output, conv_size, PadStrideInfo(), has_bias, dilation, num_groups); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // Invalid output shape |
| { |
| const auto input = TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32); |
| const auto output = TensorInfo(TensorShape(9U, 81U, 2U), 1, DataType::F32); |
| const auto conv_size = Size2D(3, 3); |
| const bool has_bias = false; |
| const auto status = CLIm2ColKernel::validate(&input, &output, conv_size, PadStrideInfo(), has_bias); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| |
| // Kernel dimensions are too big |
| { |
| const auto input = TensorInfo(TensorShape(1U, 9U, 5U, 2U), 1, DataType::F32, DataLayout::NHWC); |
| const auto output = TensorInfo(TensorShape(1U, 1U, 1U, 2U), 1, DataType::F32, DataLayout::NHWC); |
| const auto conv_size = Size2D(9, 9); |
| const bool has_bias = false; |
| const auto status = CLIm2ColKernel::validate(&input, &output, conv_size, PadStrideInfo(), has_bias); |
| ARM_COMPUTE_EXPECT(bool(status) == false, framework::LogLevel::ERRORS); |
| } |
| } |
| |
| template <typename T> |
| using CLIm2ColFixture = Im2ColValidationFixture<CLTensor, CLAccessor, CLIm2Col, T, true>; |
| |
| TEST_SUITE(NHWC) |
| |
| /** Test special kernel used for NHWC for 3x3 kernels |
| * |
| * @note 2 elements processed per iteration |
| * |
| * Three tests will be run: |
| * - Channels are multiple of elements processed |
| * - Channels larger and non multiple of elements used |
| * - Channels smaller and not multiple of elements used |
| * |
| * Kernel tested im2col3x3_nhwc |
| */ |
| FIXTURE_DATA_TEST_CASE(W3x3, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", |
| { |
| TensorShape(2U, 5U, 7U, 2U), TensorShape(3U, 4U, 6U, 2U), TensorShape(1U, 5U, 3U, 2U), |
| }), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(3, 3))), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 2), PadStrideInfo(1, 1, 0, 0) })), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NHWC)), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test special kernel used for NHWC for 9x9 kernels |
| * |
| * @note 2 elements processed per iteration |
| * |
| * Three tests will be run: |
| * - Channels are multiple of elements processed |
| * - Channels larger and non multiple of elements used |
| * - Channels smaller and not multiple of elements used |
| * |
| * Kernel tested im2col9x9_nhwc |
| */ |
| FIXTURE_DATA_TEST_CASE(W9x9, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", |
| { |
| TensorShape(2U, 13U, 15U, 2U), TensorShape(3U, 15U, 12U, 2U), TensorShape(1U, 13U, 22U, 2U), |
| }), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(9, 9))), |
| framework::dataset::make("PadStride", { PadStrideInfo(2, 2, 1, 2), PadStrideInfo(1, 1, 0, 0) })), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NHWC)), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test generic kernel used for NHWC |
| * |
| * @note 2 elements processed per iteration |
| * |
| * Three tests will be run: |
| * - Channels are multiple of elements processed |
| * - Channels larger and non multiple of elements used |
| * - Channels smaller and not multiple of elements used |
| * |
| * Kernel tested im2col_generic_nhwc |
| */ |
| FIXTURE_DATA_TEST_CASE(Generic, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", |
| { |
| TensorShape(4U, 13U, 15U, 2U), TensorShape(7U, 15U, 12U, 1U), TensorShape(1U, 5U, 3U, 1U), |
| }), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(5, 3))), |
| framework::dataset::make("PadStride", { PadStrideInfo(2, 2, 1, 2), PadStrideInfo(1, 1, 0, 0) })), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NHWC)), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // NHWC |
| |
| TEST_SUITE(NCHW) |
| |
| /** Test special kernel used for NCHW for 1x1 kernels with stride 1 and no padding |
| * |
| * @note 4 elements processed per iteration |
| * |
| * Three tests will be run: |
| * - Channels are multiple of elements processed |
| * - Channels larger and non multiple of elements used |
| * - Channels smaller and not multiple of elements used |
| * |
| * Kernel tested im2col1x1_stridex1_nchw |
| */ |
| FIXTURE_DATA_TEST_CASE(W1x1_Stride1_NoPad, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(4U, 4U, 3U, 2U), TensorShape(5U, 4U, 3U, 2U), TensorShape(3U, 4U, 3U, 2U) }), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(1, 1))), |
| framework::dataset::make("PadStride", PadStrideInfo(1, 1, 0, 0))), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NCHW)), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test special kernel used for NCHW for 3x3 kernels |
| * |
| * @note 1 elements processed per iteration |
| * |
| * Executed single test as padding is required. |
| * |
| * Kernel tested im2col3x3_nchw |
| */ |
| FIXTURE_DATA_TEST_CASE(W3x3, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(4U, 4U, 3U, 2U)), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(3, 3))), |
| framework::dataset::make("PadStride", PadStrideInfo(1, 2, 1, 2))), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NCHW)), |
| framework::dataset::make("Groups", { 1, 3 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test special kernel used for NCHW for 5x5 kernels |
| * |
| * @note 1 elements processed per iteration |
| * |
| * Executed single test as padding is required. |
| * |
| * Kernel tested im2col5x5_nchw |
| */ |
| FIXTURE_DATA_TEST_CASE(W5x5, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(7U, 4U, 3U, 2U)), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(5, 5))), |
| framework::dataset::make("PadStride", PadStrideInfo(2, 1, 2, 1))), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NCHW)), |
| framework::dataset::make("Groups", { 1, 3 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test special kernel used for NCHW for 11x11 kernels when no padding present |
| * |
| * @note 1 elements processed per iteration |
| * |
| * Two tests will be run: |
| * - Without padding requirements |
| * - With padding requirements |
| * |
| * Kernel tested im2col11x11_padx0_pady0_nchw |
| */ |
| FIXTURE_DATA_TEST_CASE(W11x11_NoPad, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", { TensorShape(11U, 11U, 2U, 2U), TensorShape(14U, 13U, 1U, 2U) }), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(11, 11))), |
| framework::dataset::make("PadStride", PadStrideInfo(1, 1, 0, 0))), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NCHW)), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Test special kernel used for NCHW for kernels which do not fall in the categories above and have no padding present |
| * |
| * @note 1 elements processed per iteration |
| * |
| * Executed single test as padding is required. |
| * |
| * Kernel tested im2col_generic_padx0_pady0_nchw |
| */ |
| FIXTURE_DATA_TEST_CASE(GenericZeroPad, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(13U, 11U, 2U, 2U)), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", Size2D(3, 2))), |
| framework::dataset::make("PadStride", PadStrideInfo(2, 1, 0, 0))), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", DataLayout::NCHW)), |
| framework::dataset::make("Groups", { 1, 2 }))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| TEST_SUITE_END() // NCHW |
| |
| /** Generic NCHW/NHWC kernel |
| * |
| * @note 1 elements processed per iteration |
| * |
| * Padding is not needed thus executed sample tests with different kernels sizes |
| * and stride/padding information |
| * |
| * Kernel tested im2col_generic_(nchw|nhwc) |
| */ |
| FIXTURE_DATA_TEST_CASE(Generic, |
| CLIm2ColFixture<float>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(13U, 11U, 5U, 2U)), |
| framework::dataset::make("DataType", DataType::F32)), |
| framework::dataset::make("Kernel", { Size2D(3, 2), Size2D(3, 5) })), |
| framework::dataset::make("PadStride", PadStrideInfo(2, 1, 2, 1))), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Tests to check that quantized padding value is set correctly |
| * |
| * Kernels tested: |
| * - im2col_generic_nhwc |
| * - im2col_generic_nchw |
| * - im2col5x5_nchw |
| * - im2col3x3_nhwc |
| * - im2col3x3_nchw |
| * - im2col9x9_nhwc |
| */ |
| FIXTURE_DATA_TEST_CASE(Quantized, |
| CLIm2ColFixture<uint8_t>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(13U, 11U, 11U, 2U)), |
| framework::dataset::make("DataType", DataType::QASYMM8)), |
| framework::dataset::make("Kernel", { Size2D(1, 1), Size2D(3, 3), Size2D(5, 5), Size2D(3, 5), Size2D(9, 9) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 1) })), |
| framework::dataset::make("QInfo", QuantizationInfo(0.5f, 10))), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| /** Tests to check that half-precision execution |
| * |
| * Kernels tested: |
| * - im2col_generic_nhwc |
| * - im2col_generic_nchw |
| * - im2col5x5_nchw |
| * - im2col3x3_nhwc |
| * - im2col3x3_nchw |
| * - im2col9x9_nhwc |
| */ |
| FIXTURE_DATA_TEST_CASE(FP16, |
| CLIm2ColFixture<half>, |
| framework::DatasetMode::ALL, |
| combine(combine(combine(combine(combine(combine( |
| framework::dataset::make("InputShape", TensorShape(13U, 11U, 11U, 2U)), |
| framework::dataset::make("DataType", DataType::F16)), |
| framework::dataset::make("Kernel", { Size2D(1, 1), Size2D(3, 3), Size2D(5, 5), Size2D(3, 5), Size2D(9, 9) })), |
| framework::dataset::make("PadStride", { PadStrideInfo(1, 2, 1, 1) })), |
| framework::dataset::make("QInfo", QuantizationInfo())), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), |
| framework::dataset::make("Groups", 1))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference); |
| } |
| |
| TEST_SUITE_END() // Im2Col |
| TEST_SUITE_END() // CL |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |