Coverage for src/flag_gems/runtime/backend/_kunlunxin/ops/rsub.py: 0%
26 statements
« prev ^ index » next coverage.py v7.6.9, created at 2026-03-21 14:31 +0800
« prev ^ index » next coverage.py v7.6.9, created at 2026-03-21 14:31 +0800
1import logging
3import torch
4import triton
6from ..utils.pointwise_dynamic import pointwise_dynamic
8logger = logging.getLogger("flag_gems").getChild(__name__.lstrip("."))
11@pointwise_dynamic(is_tensor=[True, True, False], promotion_methods=[(0, 1, "DEFAULT")])
12@triton.jit
13def rsub_func(x, y, alpha):
14 return y - x * alpha
17@pointwise_dynamic(
18 is_tensor=[True, False, False], promotion_methods=[(0, 1, "DEFAULT")]
19)
20@triton.jit
21def rsub_func_tensor_scalar(x, y, alpha):
22 return y - x * alpha
25@pointwise_dynamic(
26 is_tensor=[False, True, False], promotion_methods=[(0, 1, "DEFAULT")]
27)
28@triton.jit
29def rsub_func_scalar_tensor(x, y, alpha):
30 return y - x * alpha
33def rsub(A, B, *, alpha=1):
34 logger.debug("GEMS SUB")
35 if isinstance(A, torch.Tensor) and isinstance(B, torch.Tensor):
36 return rsub_func(A, B, alpha)
37 elif isinstance(A, torch.Tensor):
38 return rsub_func_tensor_scalar(A, B, alpha)
39 elif isinstance(B, torch.Tensor):
40 return rsub_func_scalar_tensor(A, B, alpha)
41 else:
42 # Both scalar
43 return B - A * alpha