"""
pypto MatmulL0C2UB ST测试用例配置
用于System Test自动化测试框架
算子公式:C = A @ B + C(逐元素加)
"""
from dataclasses import dataclass
import pypto
import torch
@dataclass
class MatmulL0C2UBConfig:
"""MatmulL0C2UB 配置参数"""
shape: tuple[int, int, int]
tile_shape: tuple[list, list, list]
vec_tile_shape: tuple[int, int]
view_shape: tuple[int, int]
a_dtype: pypto.DataType
b_dtype: pypto.DataType
c_dtype: pypto.DataType
out_dtype: pypto.DataType
a_trans: bool = False
b_trans: bool = False
extend_params: dict = None
DTYPE_CONFIG = {
"DT_FP16": {"pto": pypto.DT_FP16, "torch": torch.float16, "atol": 1e-3, "rtol": 1e-3},
"DT_FP32": {"pto": pypto.DT_FP32, "torch": torch.float32, "atol": 1e-3, "rtol": 1e-3},
"DT_BF16": {"pto": pypto.DT_BF16, "torch": torch.bfloat16, "atol": 1e-2, "rtol": 1e-2},
"DT_INT8": {"pto": pypto.DT_INT8, "torch": torch.int8, "atol": 0, "rtol": 0},
"DT_INT32": {"pto": pypto.DT_INT32, "torch": torch.int32, "atol": 0, "rtol": 0},
}
@classmethod
def from_test_case(cls, case: dict) -> "MatmulL0C2UBConfig":
"""从测试用例字典构造配置"""
return cls(
shape=(case["m"], case["k"], case["n"]),
tile_shape=tuple(case["tileshape"]),
vec_tile_shape=tuple(case["vec_tileshape"]),
view_shape=tuple(case["viewshape"]),
a_dtype=cls.DTYPE_CONFIG[case["a_dtype"]]["pto"],
b_dtype=cls.DTYPE_CONFIG[case["b_dtype"]]["pto"],
c_dtype=cls.DTYPE_CONFIG[case["c_dtype"]]["pto"],
out_dtype=cls.DTYPE_CONFIG[case["c_dtype"]]["pto"],
a_trans=case.get("a_trans", False),
b_trans=case.get("b_trans", False),
extend_params=case.get("extend_params", {}),
)
@classmethod
def get_torch_dtype(cls, dtype_str: str) -> torch.dtype:
"""获取 PyTorch dtype"""
return cls.DTYPE_CONFIG[dtype_str]["torch"]
@classmethod
def get_tolerance(cls, dtype_str: str) -> tuple[float, float]:
"""获取精度容差"""
info = cls.DTYPE_CONFIG[dtype_str]
return info["atol"], info["rtol"]
L0C2UB_TESTS = [
{
"id": "L01",
"name": "fp16_TInsert",
"desc": "FP16 输入 FP16 输出, L0C_COPY_UB小搬大",
"m": 129, "k": 256, "n": 513,
"a_dtype": "DT_FP16",
"b_dtype": "DT_FP16",
"c_dtype": "DT_FP16",
"a_format": "ND",
"b_format": "ND",
"a_trans": False,
"b_trans": False,
"viewshape": [128, 128],
"tileshape": [[64, 128], [128, 128], [64, 128]],
"vec_tileshape": [128, 128],
"extend_params": {},
"products": ["950"],
},
{
"id": "L02",
"name": "bf16_TExtract",
"desc": "BF16 输入 BF16 输出, L0C_COPY_UB大搬小",
"m": 3, "k": 128, "n": 129,
"a_dtype": "DT_BF16",
"b_dtype": "DT_BF16",
"c_dtype": "DT_BF16",
"a_format": "ND",
"b_format": "ND",
"a_trans": False,
"b_trans": False,
"viewshape": [128, 128],
"tileshape": [[128, 128], [128, 128], [128, 128]],
"vec_tileshape": [64, 64],
"extend_params": {},
"products": ["950"],
},
{
"id": "L03",
"name": "fp32_toGM",
"desc": "不满足L0C_COPY_UB约束用例",
"m": 127, "k": 256, "n": 511,
"a_dtype": "DT_FP32",
"b_dtype": "DT_FP32",
"c_dtype": "DT_FP32",
"a_format": "ND",
"b_format": "ND",
"a_trans": False,
"b_trans": False,
"viewshape": [128, 128],
"tileshape": [[96, 192], [128, 128], [64, 128]],
"vec_tileshape": [128, 32],
"extend_params": {},
"products": ["950"],
},
]