| /* |
| * 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 |
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| * 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_CLKERNELWRITEROPLOADSTORETEST_H |
| #define CKW_VALIDATION_TESTS_CLKERNELWRITEROPLOADSTORETEST_H |
| |
| #include "ckw/TileInfo.h" |
| #include "ckw/types/DataType.h" |
| #include "src/cl/CLKernelWriter.h" |
| #include "validation/tests/common/KernelWriterInterceptor.h" |
| #include "validation/tests/common/Common.h" |
| |
| #include "ckw/TensorSampler.h" |
| #include "ckw/types/MemoryOperation.h" |
| #include "ckw/types/TensorSamplerTypes.h" |
| |
| #include <vector> |
| |
| namespace ckw |
| { |
| |
| class CLKernelWriterOpLoadStoreTest : 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; |
| }; |
| |
| struct Dilations |
| { |
| Dilations(std::string dilation_x, std::string dilation_y) |
| : dilation_x(dilation_x), dilation_y(dilation_y) |
| { |
| } |
| |
| std::string dilation_x; |
| std::string dilation_y; |
| }; |
| |
| using CLKernelWriterOpLoadStoreConfig = std::tuple<MemoryOperation, TileInfo, TensorStorageType, SamplerData, Coordinates, Dilations, std::string>; |
| |
| public: |
| CLKernelWriterOpLoadStoreTest() |
| { |
| // Cases |
| const std::string load_fp_2x3_tile = R"_( |
| G0__tile__0 = vload3(0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (G0__y + 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__y + 1) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)); |
| )_"; |
| const std::string load_half_2x4_tile_image_clamp_y = R"_( |
| G0__tile__0 = read_imageh(G0__tensor_img2d, CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST, (int2)((G0__x) >> 2, (G0__y + 0 + (G0__z) * G0__tensor_dim1 + (G0__b) * G0__tensor_dim1 * G0__tensor_dim2))); |
| G0__tile__1 = read_imageh(G0__tensor_img2d, CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST, (int2)((G0__x) >> 2, (G0__y + 1 + (G0__z) * G0__tensor_dim1 + (G0__b) * G0__tensor_dim1 * G0__tensor_dim2))); |
| )_"; |
| const std::string store_fp_2x3_tile = R"_( |
| vstore3(G0__tile__0, 0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (G0__y + 0) * G0__tensor_stride1 + (G0__b) * G0__tensor_stride3)); |
| vstore3(G0__tile__1, 0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (G0__y + 1) * G0__tensor_stride1 + (G0__b) * G0__tensor_stride3)); |
| )_"; |
| const std::string store_int8_4x4_y_dilation_batch_eq_0 = R"_( |
| vstore4(G0__tile__0, 0, (__global char*)(G0__tensor_ptr + (((int)(1))) * sizeof(char) + (G0__y + 0 * G0__y_dilation) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(0))) * G0__tensor_stride3)); |
| vstore4(G0__tile__1, 0, (__global char*)(G0__tensor_ptr + (((int)(1))) * sizeof(char) + (G0__y + 1 * G0__y_dilation) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(0))) * G0__tensor_stride3)); |
| vstore4(G0__tile__2, 0, (__global char*)(G0__tensor_ptr + (((int)(1))) * sizeof(char) + (G0__y + 2 * G0__y_dilation) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(0))) * G0__tensor_stride3)); |
| vstore4(G0__tile__3, 0, (__global char*)(G0__tensor_ptr + (((int)(1))) * sizeof(char) + (G0__y + 3 * G0__y_dilation) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(0))) * G0__tensor_stride3)); |
| )_"; |
| // tensor dimension is 10 |
| const std::string load_fp_2x3_tile_x_overlapping_min_y_eq_0_batch_eq_1 = R"_( |
| if(G0__x > 0) |
| { |
| G0__tile__0 = vload3(0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (((int)(0)) + 0) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(1))) * G0__tensor_stride3)); |
| G0__tile__1 = vload3(0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (((int)(0)) + 1) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(1))) * G0__tensor_stride3)); |
| } |
| else |
| { |
| G0__tile__0.s0 = *((__global float*)(G0__tensor_ptr + (G0__x + 0) * sizeof(float) + (((int)(0)) + 0) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(1))) * G0__tensor_stride3)); |
| G0__tile__1.s0 = *((__global float*)(G0__tensor_ptr + (G0__x + 0) * sizeof(float) + (((int)(0)) + 1) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (((int)(1))) * G0__tensor_stride3)); |
| } |
| )_"; |
| const std::string store_fp_2x3_tile_x_overlapping_min_y_clamp_to_border_max_only = R"_( |
| if(G0__x > 0) |
| { |
| if(G0__y + 0 < G0__tensor_dim1) |
| { |
| vstore3(G0__tile__0, 0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (G0__y + 0) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)); |
| } |
| else |
| { |
| G0__tile__0 = 0.0f; |
| } |
| if(G0__y + 1 < G0__tensor_dim1) |
| { |
| vstore3(G0__tile__1, 0, (__global float*)(G0__tensor_ptr + (G0__x) * sizeof(float) + (G0__y + 1) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)); |
| } |
| else |
| { |
| G0__tile__1 = 0.0f; |
| } |
| } |
| else |
| { |
| if(G0__y + 0 < G0__tensor_dim1) |
| { |
| *((__global float*)(G0__tensor_ptr + (G0__x + 0) * sizeof(float) + (G0__y + 0) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)) = G0__tile__0.s0; |
| } |
| else |
| { |
| G0__tile__0.s0 = 0.0f; |
| } |
| if(G0__y + 1 < G0__tensor_dim1) |
| { |
| *((__global float*)(G0__tensor_ptr + (G0__x + 0) * sizeof(float) + (G0__y + 1) * G0__tensor_stride1 + (G0__z) * G0__tensor_stride2 + (G0__b) * G0__tensor_stride3)) = G0__tile__1.s0; |
| } |
| else |
| { |
| G0__tile__1.s0 = 0.0f; |
| } |
| } |
| )_"; |
| const std::string store_half_2x4_tile_x_image_y_dilation = R"_( |
| write_imageh(G0__tensor_img2d, (int2)((G0__x) >> 2, (((int)(0)) + 0 * G0__y_dilation + (G0__z) * G0__tensor_dim1 + (((int)(1))) * G0__tensor_dim1 * G0__tensor_dim2)), G0__tile__0); |
| write_imageh(G0__tensor_img2d, (int2)((G0__x) >> 2, (((int)(0)) + 1 * G0__y_dilation + (G0__z) * G0__tensor_dim1 + (((int)(1))) * G0__tensor_dim1 * G0__tensor_dim2)), G0__tile__1); |
| )_"; |
| |
| // Configs Bundled |
| _configs = { |
| // op, tile, storage, sampler, coordinates, dilation, expected |
| { |
| MemoryOperation::Load, |
| TileInfo(DataType::Fp32, 2, 3), |
| TensorStorageType::BufferUint8Ptr, |
| SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::None, AddressModeY::None, AddressModeZ::None), |
| Coordinates("x", "y", "z", "b"), |
| Dilations("1", "1"), |
| load_fp_2x3_tile |
| }, |
| { |
| MemoryOperation::Load, |
| TileInfo(DataType::Fp16, 2, 4), |
| TensorStorageType::Texture2dReadOnly, |
| SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::None, AddressModeY::ClampToBorderMaxOnly, AddressModeZ::None), |
| Coordinates("x", "y", "z", "b"), |
| Dilations("1", "1"), |
| load_half_2x4_tile_image_clamp_y |
| }, |
| { |
| MemoryOperation::Store, |
| TileInfo(DataType::Fp32, 2, 3), |
| TensorStorageType::BufferUint8Ptr, |
| SamplerData(Format::Dim0_Dim1xDim2_1,AddressModeX::None, AddressModeY::None, AddressModeZ::None), |
| Coordinates("x", "y", "z", "b"), |
| Dilations("1", "1"), |
| store_fp_2x3_tile |
| }, |
| { |
| MemoryOperation::Store, |
| TileInfo(DataType::Int8, 4, 4), |
| TensorStorageType::BufferUint8Ptr, |
| SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::None, AddressModeY::None, AddressModeZ::None), |
| Coordinates("1", "y", "z", "0"), |
| Dilations("1", "y_dilation"), |
| store_int8_4x4_y_dilation_batch_eq_0 |
| }, |
| { |
| MemoryOperation::Load, |
| TileInfo(DataType::Fp32, 2, 3), |
| TensorStorageType::BufferUint8Ptr, |
| SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::OverlappingMin, AddressModeY::None, AddressModeZ::None), |
| Coordinates("x", "0", "z", "1"), |
| Dilations("1", "1"), |
| load_fp_2x3_tile_x_overlapping_min_y_eq_0_batch_eq_1 |
| }, |
| { |
| MemoryOperation::Store, |
| TileInfo(DataType::Fp32, 2, 3), |
| TensorStorageType::BufferUint8Ptr, |
| SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::OverlappingMin, AddressModeY::ClampToBorderMaxOnly, AddressModeZ::None), |
| Coordinates("x", "y", "z", "b"), |
| Dilations("1", "1"), |
| store_fp_2x3_tile_x_overlapping_min_y_clamp_to_border_max_only |
| }, |
| { |
| MemoryOperation::Store, |
| TileInfo(DataType::Fp16, 2, 4), |
| TensorStorageType::Texture2dWriteOnly, |
| SamplerData(Format::Dim0_Dim1_Dim2, AddressModeX::None, AddressModeY::None, AddressModeZ::None), |
| Coordinates("x", "0", "z", "1"), |
| Dilations("1", "y_dilation"), |
| store_half_2x4_tile_x_image_y_dilation |
| } |
| }; |
| } |
| |
| TileOperand declare_tile_helper(KernelWriter &writer, std::string tile) |
| { |
| if(tile == "0" || tile == "1") |
| { |
| return writer.declare_constant_tile(ConstantData({{std::stoi(tile)}}, DataType::Int32)); |
| } |
| else |
| { |
| return writer.declare_tile(tile, TileInfo(DataType::Int32)); |
| } |
| } |
| |
| bool run() override |
| { |
| bool all_tests_passed = true; |
| int32_t test_idx = 0; |
| |
| for(auto _config: _configs) |
| { |
| KernelWriterInterceptor<CLKernelWriter> writer; |
| |
| const MemoryOperation op = std::get<0>(_config); |
| const TileInfo tile_info = std::get<1>(_config); |
| const Storage storage = std::get<2>(_config); |
| const SamplerData sampler_data = std::get<3>(_config); |
| const Coordinates coord = std::get<4>(_config); |
| const Dilations dilations = std::get<5>(_config); |
| const std::string expected_code = std::get<6>(_config).substr(1); // ignore initial newline, which was added for convenience |
| |
| TileOperand tile_op = writer.declare_tile("tile", tile_info); |
| TileOperand x_op = declare_tile_helper(writer, coord.x); |
| TileOperand y_op = declare_tile_helper(writer, coord.y); |
| TileOperand z_op = declare_tile_helper(writer, coord.z); |
| TileOperand batch_op = declare_tile_helper(writer, coord.batch); |
| TileOperand dil_x_op = declare_tile_helper(writer, dilations.dilation_x); |
| TileOperand dil_y_op = declare_tile_helper(writer, dilations.dilation_y); |
| |
| 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); |
| |
| const bool no_dilation = (dilations.dilation_x == "1" && dilations.dilation_y == "1"); |
| |
| writer.start_capture_code(); |
| if(op == MemoryOperation::Load) |
| { |
| if(no_dilation) |
| { |
| writer.op_load(tile_op, tensor_op, sampler, x_op, y_op, z_op, batch_op); |
| } |
| else |
| { |
| writer.op_load_dilated(tile_op, tensor_op, sampler, x_op, y_op, z_op, batch_op, dil_x_op, dil_y_op); |
| } |
| } |
| else |
| { |
| if(no_dilation) |
| { |
| writer.op_store(tensor_op, tile_op, sampler, x_op, y_op, z_op, batch_op); |
| } |
| else |
| { |
| writer.op_store_dilated(tensor_op, tile_op, sampler, x_op, y_op, z_op, batch_op, dil_x_op, dil_y_op); |
| } |
| } |
| |
| VALIDATE_TEST(writer.check_added_code(expected_code), all_tests_passed, test_idx++); |
| } |
| |
| return all_tests_passed; |
| } |
| |
| std::string name() override |
| { |
| return "CLKernelWriterOpLoadStoreTest"; |
| } |
| |
| private: |
| std::vector<CLKernelWriterOpLoadStoreConfig> _configs {}; |
| }; |
| |
| } // namespace ckw |
| |
| #endif // CKW_VALIDATION_TESTS_CLKERNELWRITEROPLOADSTORETEST_H |