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Diffstat (limited to 'compute_kernel_writer/validation/tests/CLKernelWriterOpLoadIndirectTest.h')
| -rw-r--r-- | compute_kernel_writer/validation/tests/CLKernelWriterOpLoadIndirectTest.h | 216 |
1 files changed, 216 insertions, 0 deletions
diff --git a/compute_kernel_writer/validation/tests/CLKernelWriterOpLoadIndirectTest.h b/compute_kernel_writer/validation/tests/CLKernelWriterOpLoadIndirectTest.h new file mode 100644 index 0000000000..dacf3cd435 --- /dev/null +++ b/compute_kernel_writer/validation/tests/CLKernelWriterOpLoadIndirectTest.h @@ -0,0 +1,216 @@ +/* + * Copyright (c) 2023 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. + */ + +#ifndef CKW_VALIDATION_TESTS_CLKERNELWRITEROPLOADINDIRECTTEST_H +#define CKW_VALIDATION_TESTS_CLKERNELWRITEROPLOADINDIRECTTEST_H + +#include "ckw/TileInfo.h" +#include "ckw/types/DataType.h" +#include "ckw/TensorSampler.h" +#include "ckw/types/MemoryOperation.h" +#include "ckw/types/TensorSamplerTypes.h" +#include "src/cl/CLKernelWriter.h" +#include "validation/tests/common/KernelWriterInterceptor.h" +#include "validation/tests/common/Common.h" + +#include <vector> + +namespace ckw +{ + +class CLKernelWriterOpLoadIndirectTest : public ITest +{ +private: + using AddressModeX = TensorSamplerAddressModeX; + using AddressModeY = TensorSamplerAddressModeY; + using AddressModeZ = TensorSamplerAddressModeZ; + using Format = TensorSamplerFormat; + using Storage = TensorStorageType; + + struct Coordinates + { + Coordinates(std::string x, std::string y, std::string z, std::string batch) + : x(x), y(y), z(z), batch(batch) + { + } + + std::string x; + std::string y; + std::string z; + std::string batch; + }; + + struct SamplerData + { + SamplerData(Format format, AddressModeX mode_x, AddressModeY mode_y, AddressModeZ mode_z) + : format(format), mode_x(mode_x), mode_y(mode_y), mode_z(mode_z) + { + } + + Format format; + AddressModeX mode_x; + AddressModeY mode_y; + AddressModeZ mode_z; + }; + + using CLKernelWriterOpLoadIndirectConfig = std::tuple<TileInfo, TensorStorageType, SamplerData, Coordinates, std::string>; + +public: + CLKernelWriterOpLoadIndirectTest() + { + const std::string fp_2x3_tile = R"_( +G0__tile__0 = vload3(0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (G0__indirect_addr__0) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)); +G0__tile__1 = vload3(0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (G0__indirect_addr__1) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)); +)_"; + + const std::string half_2x4_yz_collapsed_y_clamped_to_border_max_only_image = R"_( +G0__tile__0 = read_imageh(G0__tensor_img2d, CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST, (int2)((G0__x) >> 2, (G0__indirect_addr__0 + (G0__b) * G0__tensor_dim1xdim2 * 1))); +G0__tile__1 = read_imageh(G0__tensor_img2d, CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST, (int2)((G0__x) >> 2, (G0__indirect_addr__1 + (G0__b) * G0__tensor_dim1xdim2 * 1))); +)_"; + + const std::string int_2x4_y_skip_less_than_zero = R"_( +if(G0__indirect_addr__0 >= 0) +{ +G0__tile__0 = vload4(0, (__global int*)(G0__tensor_ptr + (G0__x) * sizeof(int) + (G0__indirect_addr__0) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)); +} +if(G0__indirect_addr__1 >= 0) +{ +G0__tile__1 = vload4(0, (__global int*)(G0__tensor_ptr + (G0__x) * sizeof(int) + (G0__indirect_addr__1) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)); +} +)_"; + + // tensor shape in x-dim is 10 (thus the 8, 2 vloads in if, else blocks respectively) + const std::string uint16_3x8_yz_collapsed_b_eq_0_x_overlapping_min_y_skip_less_than_zero = R"_( +if(G0__x > 0) +{ +if(G0__indirect_addr__0 >= 0) +{ +G0__tile__0 = vload8(0, (__global ushort*)(G0__tensor_ptr + (G0__x) * sizeof(ushort) + (G0__indirect_addr__0) * G0__tensor_stride1 + (G0__0) * G0__tensor_stride3)); +} +if(G0__indirect_addr__1 >= 0) +{ +G0__tile__1 = vload8(0, (__global ushort*)(G0__tensor_ptr + (G0__x) * sizeof(ushort) + (G0__indirect_addr__1) * G0__tensor_stride1 + (G0__0) * G0__tensor_stride3)); +} +if(G0__indirect_addr__2 >= 0) +{ +G0__tile__2 = vload8(0, (__global ushort*)(G0__tensor_ptr + (G0__x) * sizeof(ushort) + (G0__indirect_addr__2) * G0__tensor_stride1 + (G0__0) * G0__tensor_stride3)); +} +} +else +{ +if(G0__indirect_addr__0 >= 0) +{ +G0__tile__0.s01 = vload2(0, (__global ushort*)(G0__tensor_ptr + (G0__x + 0) * sizeof(ushort) + (G0__indirect_addr__0) * G0__tensor_stride1 + (G0__0) * G0__tensor_stride3)); +} +if(G0__indirect_addr__1 >= 0) +{ +G0__tile__1.s01 = vload2(0, (__global ushort*)(G0__tensor_ptr + (G0__x + 0) * sizeof(ushort) + (G0__indirect_addr__1) * G0__tensor_stride1 + (G0__0) * G0__tensor_stride3)); +} +if(G0__indirect_addr__2 >= 0) +{ +G0__tile__2.s01 = vload2(0, (__global ushort*)(G0__tensor_ptr + (G0__x + 0) * sizeof(ushort) + (G0__indirect_addr__2) * G0__tensor_stride1 + (G0__0) * G0__tensor_stride3)); +} +} +)_"; + + // Configs Bundled + _configs = { + { + TileInfo(DataType::Fp32, 2, 3), + TensorStorageType::BufferUint8Ptr, + SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::None, AddressModeY::None, AddressModeZ::None), + Coordinates("x", "y", "z", "b"), + fp_2x3_tile + }, + { + TileInfo(DataType::Fp16, 2, 4), + TensorStorageType::Texture2dReadOnly, + SamplerData(Format::Dim0_Dim1xDim2_1, AddressModeX::None, AddressModeY::ClampToBorderMaxOnly, AddressModeZ::None), + Coordinates("x", "y", "z", "b"), + half_2x4_yz_collapsed_y_clamped_to_border_max_only_image + }, + { + TileInfo(DataType::Int32, 2, 4), + TensorStorageType::BufferUint8Ptr, + SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::None, AddressModeY::SkipLessThanZero, AddressModeZ::None), + Coordinates("x", "y", "z", "b"), + int_2x4_y_skip_less_than_zero + }, + { + TileInfo(DataType::Uint16, 3, 8), + TensorStorageType::BufferUint8Ptr, + SamplerData(Format::Dim0_Dim1xDim2_1, AddressModeX::OverlappingMin, AddressModeY::SkipLessThanZero, AddressModeZ::None), + Coordinates("x", "y", "z", "0"), + uint16_3x8_yz_collapsed_b_eq_0_x_overlapping_min_y_skip_less_than_zero + } + }; + } + + bool run() override + { + bool all_tests_passed = true; + int32_t test_idx = 0; + + for(auto _config: _configs) + { + KernelWriterInterceptor<CLKernelWriter> writer; + + const TileInfo tile_info = std::get<0>(_config); + const Storage storage = std::get<1>(_config); + const SamplerData sampler_data = std::get<2>(_config); + const Coordinates coord = std::get<3>(_config); + const std::string expected_code = std::get<4>(_config).substr(1); // ignore initial newline, which was added for convenience + + TileOperand tile_op = writer.declare_tile("tile", TileInfo(tile_info.data_type(), tile_info.height(), tile_info.width())); + TileOperand indirect_addr_op = writer.declare_tile("indirect_addr", TileInfo(DataType::Int32, tile_info.height(), 1)); // (M0, 1) + TileOperand x_op = writer.declare_tile(coord.x, TileInfo(DataType::Int32)); + TileOperand z_op = writer.declare_tile(coord.z, TileInfo(DataType::Int32)); + TileOperand batch_op = writer.declare_tile(coord.batch, TileInfo(DataType::Int32)); + + TensorShape tensor_shape {10, 10, 10, 10}; + TensorInfo tensor_info(tile_info.data_type(), tensor_shape, TensorDataLayout::Nhwc, 0 /* id */); + TensorOperand tensor_op = writer.declare_tensor_argument("tensor", tensor_info); + TensorSampler sampler(storage, sampler_data.format, sampler_data.mode_x, sampler_data.mode_y, sampler_data.mode_z); + + writer.start_capture_code(); + writer.op_load_indirect(tile_op, tensor_op, sampler, x_op, indirect_addr_op, z_op, batch_op); + + VALIDATE_TEST(writer.check_added_code(expected_code), all_tests_passed, test_idx++); + } + + return all_tests_passed; + } + + std::string name() override + { + return "CLKernelWriterOpLoadIndirectTest"; + } + +private: + std::vector<CLKernelWriterOpLoadIndirectConfig> _configs {}; +}; + +} // namespace ckw + +#endif // CKW_VALIDATION_TESTS_CLKERNELWRITEROPLOADINDIRECTTEST_H |