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/*
* 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