1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418
|
/*
* 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_INCLUDE_CKW_KERNELWRITER_H
#define CKW_INCLUDE_CKW_KERNELWRITER_H
#include "ckw/Kernel.h"
#include "ckw/TensorInfo.h"
#include "ckw/TensorOperand.h"
#include "ckw/TensorSampler.h"
#include "ckw/TileInfo.h"
#include "ckw/TileOperand.h"
#include "ckw/types/ConstantData.h"
#include "ckw/types/ConvertPolicy.h"
#include "ckw/types/DataType.h"
#include "ckw/types/Operators.h"
#include "ckw/types/TargetArchitecture.h"
#include "ckw/types/TargetLanguage.h"
#include "ckw/types/TensorComponentType.h"
#include "ckw/types/TensorDataLayout.h"
#include "ckw/types/TensorSamplerTypes.h"
#include "ckw/types/TensorStorageType.h"
#include <functional>
#include <memory>
#include <string>
#include <tuple>
namespace ckw
{
/** Forward Declarations */
class TileArea;
/** A kernel writer.
*
* This class is used to construct a new kernel by defining arguments, declaring variable and writing code.
*
* Use @ref KernelWriter::create_instance method to create the kernel writer for the specific target architecture and language.
*
* After having finished constructing the kernel, call @ref KernelWriter::emit_kernel to get the kernel object.
*/
class KernelWriter
{
public:
// =============================================================================================
// Construtors and destructor
// =============================================================================================
/** Initialize a new instance of @ref KernelWriter class for the specific architecture and language.
*
* Supported target architectures and languages:
*
* Architecture | Languages |
* ------------------------------|------------------------------|
* GpuArmMaliValhall | OpenCL |
*
* @param[in] architecture The architecture on which the kernel is executed.
* @param[in] language The language to write the kernel.
*/
static std::unique_ptr<KernelWriter> create_instance(TargetArchitecture architecture, TargetLanguage language);
/** Destructor */
virtual ~KernelWriter();
// =============================================================================================
// Data processing
// =============================================================================================
/** Write assignment statement: `<dst> = <src>;`.
*
* @param[in] dst The destination tile.
* @param[in] src The source tile.
*/
virtual void op_assign(const TileOperand &dst, const TileOperand &src) = 0;
/** Write the cast statement: `<dst> = convert_<dst.type><policy>(<src>);`.
*
* @param[in] dst The destination tile.
* @param[in] src The source tile.
* @param[in] policy The policy governing the behavior of the cast.
*/
virtual void op_cast(const TileOperand &dst, const TileOperand &src, ConvertPolicy policy) = 0;
/** Write the unary expression statement: `<dst> = <op> <src>;`.
*
* @param[in] dst The destination tile.
* @param[in] op The unary operator.
* @param[in] src The source tile.
*/
virtual void op_unary(const TileOperand &dst, UnaryOp op, const TileOperand &src) = 0;
/** Write the binary expression statement: `<dst> = <op>(<first>, <second>);`.
*
* @param[in] dst The destination tile.
* @param[in] op The binary operator.
* @param[in] first The first source tile.
* @param[in] second The second source tile.
*/
virtual void
op_binary(const TileOperand &dst, BinaryOp op, const TileOperand &first, const TileOperand &second) = 0;
/** Write ternary expression statement: `<dst> = <op>(<first>, <second>, <third>);`.
*
* @param[in] dst The destination tile.
* @param[in] op The ternary operator.
* @param[in] first The first source tile.
* @param[in] second The second source tile.
* @param[in] third The third source tile.
*/
virtual void op_ternary(const TileOperand &dst,
TernaryOp op,
const TileOperand &first,
const TileOperand &second,
const TileOperand &third) = 0;
// =============================================================================================
// Flow control
// =============================================================================================
/** Write if block: `if(<lhs> <op> <rhs>) { <body> }`.
*
* @param[in] lhs The LHS tile of the condition.
* @param[in] op The relational binary operator.
* @param[in] rhs The RHS tile of the condition.
* @param[in] body The function that writes the body of the if block.
*/
virtual void
op_if(const TileOperand &lhs, BinaryOp op, const TileOperand &rhs, const std::function<void()> &body) = 0;
/** Write else-if block: `else if(<lhs> <op> <rhs>) { <body> }`.
*
* @param[in] lhs The LHS tile of the condition.
* @param[in] op The relational binary operator.
* @param[in] rhs The RHS tile of the condition.
* @param[in] body The function that writes the body of the else-if block.
*/
virtual void
op_else_if(const TileOperand &lhs, BinaryOp op, const TileOperand &rhs, const std::function<void()> &body) = 0;
/** Write an else block: `else { <body> }`.
*
* @param[in] body The function that writes the body of the else block.
*/
virtual void op_else(const std::function<void()> &body) = 0;
/** Write for-loop block: `for(; <var> <cond_op> <cond_value>; <update_var> <update_op> <update_value>) { body }`.
*
* @param[in] var The scalar tile used in loop condition.
* @param[in] cond_op The relational binary operator used in loop condition.
* @param[in] cond_value The value which the variable is compared against.
* @param[in] update_var The scalar tile which is updated each iteration.
* @param[in] update_op The assignment operator used for updating the update value.
* @param[in] update_value The value which is updated at every iteration.
* @param[in] body The function that writes the body of the for-loop block.
*/
virtual void op_for_loop(const TileOperand &var,
BinaryOp cond_op,
const TileOperand &cond_value,
const TileOperand &update_var,
AssignmentOp update_op,
const TileOperand &update_value,
const std::function<void()> &body) = 0;
/** Write the return statement. */
virtual void op_return() = 0;
// =============================================================================================
// Misc
// =============================================================================================
/** Write the statement to get the global ID of the specified dimension.
*
* @param[in] dst The tile to write the global ID into.
* @param[in] dim The dimension.
*/
virtual void op_get_global_id(const TileOperand &dst, int32_t dim) = 0;
/** Write the line comment in debug build.
*
* This function does not take effect on release build.
*
* The comment must only contain one line (i.e. no newline character is allowed).
*
* @param[in] text The comment to be written.
*/
virtual void op_comment(const std::string &text) = 0;
/** Write the statement to print out the value of all the specified tiles.
*
* The printing statement is constructed so that the prefix and each of the operand are printed in separate lines.
* The format for each operand varies depending on whether it is a 2D tile, a vector or a scalar value.
*
* Example output of the printing statement when it is executed:
*
* prefix
* scalar_name = scalar_value
* vector_name = [vector_value_0, vector_value_1, vector_value_2]
* tile_name = [[tile_value_00, tile_value_01], [tile_value_10, tile_value_11]]
*
* @param[in] prefix The first string to be printed out before the list of operands.
* @param[in] operands The list of tiles to be included in the printing statement.
*/
virtual void op_print(const std::string &prefix, const std::vector<TileOperand> &operands) = 0;
/** Write the given raw code to kernel source code
* It's used to address the cases where the user needs to
* explicitly add a code where it's not (yet) supported by
* the kernel writer utility calls.
*
* @param[in] raw_code raw code to write as string
*/
virtual void op_write_raw_code(const std::string &raw_code) = 0;
// =============================================================================================
// Code generation
// =============================================================================================
/** Emit the kernel object.
*
* @param[in] name The name of the kernel object to be generated.
*/
virtual std::unique_ptr<Kernel> emit_kernel(const std::string &name) = 0;
// =============================================================================================
// Tensor and tile declaration
// =============================================================================================
/** Declare a tensor argument.
*
* @param[in] name The name of the tensor.
* @param[in] info The tensor info.
*
* @return The @ref TensorOperand object.
*/
virtual TensorOperand declare_tensor_argument(const std::string &name, const TensorInfo &info) = 0;
/** Declare a tile given its name and tile info
*
* @param[in] name Name of the tile
* @param[in] tile_info Shape and data type of the tile
*
* @return The created tile operand
*/
virtual TileOperand declare_tile(const std::string &name, const TileInfo &tile_info) = 0;
/** Declare a constant tile given a @ref:ConstantData object
*
* @param[in] data a @ref ckw::ConstantData object that has the values and the
* underlying data type of the constant tile
*
* @return The created constant tile operand
*/
virtual TileOperand declare_constant_tile(const ConstantData &data) = 0;
/** Load the data from the tensor memory to the tile using the sampling information.
*
* @param[in] tile_op The tile to be loaded.
* @param[in] tensor_op The tensor to be read.
* @param[in] sampler The tensor sampling information.
* @param[in] x x-coordinate
* @param[in] y y-coordinate
* @param[in] z z-coordinate
* @param[in] batch batch
*/
virtual void op_load(const TileOperand &tile_op,
const TensorOperand &tensor_op,
TensorSampler &sampler,
const TileOperand &x,
const TileOperand &y,
const TileOperand &z,
const TileOperand &batch) = 0;
/** Load the data from the tensor memory to the tile in a dilated way using the sampling information.
*
* Similar to @ref KernelWriter::op_load() and
*
* @param[in] dilation_x Dilation while reading in x-dimension
* @param[in] dilation_y Dilation while reading in y-dimension
*/
virtual void op_load_dilated(const TileOperand &tile_op,
const TensorOperand &tensor_op,
TensorSampler &sampler,
const TileOperand &x,
const TileOperand &y,
const TileOperand &z,
const TileOperand &batch,
const TileOperand &dilation_x,
const TileOperand &dilation_y) = 0;
/** Store the data to the tensor memory from the tile using the sampling information.
*
* Similar to @ref KernelWriter::op_load()
*/
virtual void op_store(const TensorOperand &tensor_op,
const TileOperand &tile_op,
TensorSampler &sampler,
const TileOperand &x,
const TileOperand &y,
const TileOperand &z,
const TileOperand &batch) = 0;
/** Store the data to the tensor memory from the tile in a dilated way using the sampling information.
*
* Similar to @ref KernelWriter::op_load_dilated()
*/
virtual void op_store_dilated(const TensorOperand &tensor_op,
const TileOperand &tile_op,
TensorSampler &sampler,
const TileOperand &x,
const TileOperand &y,
const TileOperand &z,
const TileOperand &batch,
const TileOperand &dilation_x,
const TileOperand &dilation_y) = 0;
/** Load the data from the tensor memory to the tile using the indirect buffer approach and respecting the sampling information.
*
* @param[in] tile_op The tile to be loaded.
* @param[in] tensor_op The tensor to be read.
* @param[in] sampler The tensor sampling information.
* @param[in] x x-coordinate
* @param[in] y y-coordinate
* @param[in] z z-coordinate
* @param[in] batch batch
*/
virtual void op_load_indirect(const TileOperand &tile_op,
const TensorOperand &tensor_op,
TensorSampler &sampler,
const TileOperand &x,
const TileOperand &y,
const TileOperand &z,
const TileOperand &batch_op) = 0;
// =============================================================================================
// ID space management
// =============================================================================================
/** Create the new unique ID space and return the value.
*
* This function changes the ID space to a new number which hasn't been used since the creation
* of this kernel writer object.
*
* @return The new ID space value.
*/
int32_t new_id_space();
/** Get the current ID space. */
int32_t id_space() const;
protected:
/** Set the current ID space.
*
* @param[in] value The ID space to be used.
*/
KernelWriter &id_space(int32_t value);
/** Write the body code using the specified function.
*
* This function makes sure that a new ID space is created before and then is used solely
* by the specified body writing function.
* The ID space will not be reused after that.
*
* @param[in] body The function that writes the body code.
*/
void write_body(const std::function<void()> &body);
protected:
/** Generate full variable name by prefixing it with id space */
std::string generate_full_name(const std::string &name) const;
/** Create a new tile operand referring to the specified tile object. */
static TileOperand create_tile_operand(ITile &tile);
/** Get the reference to the tile object and the active area from the tile operand. */
static std::tuple<ITile &, TileArea> get_tile(const TileOperand &operand);
/** Create a new tensor operand from a tensor object. */
static TensorOperand create_tensor_operand(ITensor &tensor);
/** Get the reference to tensor object from the tensor operand. */
static ITensor &get_tensor(const TensorOperand &operand);
/** Get the values of a constant data object. */
static const std::vector<std::vector<std::string>> &get_values(const ConstantData &data);
/** Get the data type of a constant data object. */
static DataType get_data_type(const ConstantData &data);
private:
int32_t _id_space{0};
int32_t _last_created_id_space{0};
};
} // namespace ckw
#endif // CKW_INCLUDE_CKW_KERNELWRITER_H
|