| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload][Conformance] Add RandomGenerator for large input spaces (#154252) This patch implements the RandomGenerator, a new input generator that enables conformance testing for functions with large input spaces (e.g., double-precision math functions). **Architectural Refactoring** To support different generation strategies in a clean and extensible way, the existing ExhaustiveGenerator was refactored into a new class hierarchy: * A new abstract base class, RangeBasedGenerator, was introduced using the Curiously Recurring Template Pattern (CRTP). It contains the common logic for generators that operate on a sequence of ranges. * ExhaustiveGenerator now inherits from this base class, simplifying its implementation. **New Components** * The new RandomGenerator class also inherits from RangeBasedGenerator. It implements a strategy that randomly samples a specified number of points from the total input space. * Random number generation is handled by a new, self-contained RandomState class (a xorshift64* PRNG seeded with splitmix64) to ensure deterministic and reproducible random streams for testing. **Example Usage** As a first use case and demonstration of this new capability, this patch also adds the first double-precision conformance test for the log function. This test uses the new RandomGenerator to validate the implementations from the llvm-libm, cuda-math, and hip-math providers. | 11 个月前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload][Conformance] Add RandomGenerator for large input spaces (#154252) This patch implements the RandomGenerator, a new input generator that enables conformance testing for functions with large input spaces (e.g., double-precision math functions). **Architectural Refactoring** To support different generation strategies in a clean and extensible way, the existing ExhaustiveGenerator was refactored into a new class hierarchy: * A new abstract base class, RangeBasedGenerator, was introduced using the Curiously Recurring Template Pattern (CRTP). It contains the common logic for generators that operate on a sequence of ranges. * ExhaustiveGenerator now inherits from this base class, simplifying its implementation. **New Components** * The new RandomGenerator class also inherits from RangeBasedGenerator. It implements a strategy that randomly samples a specified number of points from the total input space. * Random number generation is handled by a new, self-contained RandomState class (a xorshift64* PRNG seeded with splitmix64) to ensure deterministic and reproducible random streams for testing. **Example Usage** As a first use case and demonstration of this new capability, this patch also adds the first double-precision conformance test for the log function. This test uses the new RandomGenerator to validate the implementations from the llvm-libm, cuda-math, and hip-math providers. | 11 个月前 | |
[Offload][Conformance] Add RandomGenerator for large input spaces (#154252) This patch implements the RandomGenerator, a new input generator that enables conformance testing for functions with large input spaces (e.g., double-precision math functions). **Architectural Refactoring** To support different generation strategies in a clean and extensible way, the existing ExhaustiveGenerator was refactored into a new class hierarchy: * A new abstract base class, RangeBasedGenerator, was introduced using the Curiously Recurring Template Pattern (CRTP). It contains the common logic for generators that operate on a sequence of ranges. * ExhaustiveGenerator now inherits from this base class, simplifying its implementation. **New Components** * The new RandomGenerator class also inherits from RangeBasedGenerator. It implements a strategy that randomly samples a specified number of points from the total input space. * Random number generation is handled by a new, self-contained RandomState class (a xorshift64* PRNG seeded with splitmix64) to ensure deterministic and reproducible random streams for testing. **Example Usage** As a first use case and demonstration of this new capability, this patch also adds the first double-precision conformance test for the log function. This test uses the new RandomGenerator to validate the implementations from the llvm-libm, cuda-math, and hip-math providers. | 11 个月前 | |
[Offload][Conformance] Add RandomGenerator for large input spaces (#154252) This patch implements the RandomGenerator, a new input generator that enables conformance testing for functions with large input spaces (e.g., double-precision math functions). **Architectural Refactoring** To support different generation strategies in a clean and extensible way, the existing ExhaustiveGenerator was refactored into a new class hierarchy: * A new abstract base class, RangeBasedGenerator, was introduced using the Curiously Recurring Template Pattern (CRTP). It contains the common logic for generators that operate on a sequence of ranges. * ExhaustiveGenerator now inherits from this base class, simplifying its implementation. **New Components** * The new RandomGenerator class also inherits from RangeBasedGenerator. It implements a strategy that randomly samples a specified number of points from the total input space. * Random number generation is handled by a new, self-contained RandomState class (a xorshift64* PRNG seeded with splitmix64) to ensure deterministic and reproducible random streams for testing. **Example Usage** As a first use case and demonstration of this new capability, this patch also adds the first double-precision conformance test for the log function. This test uses the new RandomGenerator to validate the implementations from the llvm-libm, cuda-math, and hip-math providers. | 11 个月前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 | |
[Offload][Conformance] Add support for CUDA Math and HIP Math providers (#152362) This patch extends the conformance testing infrastructure to support two new providers of math function implementations for GPUs: CUDA Math ( cuda-math) and HIP Math (hip-math). | 1 年前 | |
[Offload] Add framework for math conformance tests (#149242) This PR introduces the initial version of a C++ framework for the conformance testing of GPU math library functions, building upon the skeleton provided in #146391. The main goal of this framework is to systematically measure the accuracy of math functions in the GPU libc, verifying correctness or at least conformance to standards like OpenCL via exhaustive or random accuracy tests. | 1 年前 |
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