Coverage for src/flag_gems/runtime/backend/_hygon/ops/pow.py: 0%
45 statements
« prev ^ index » next coverage.py v7.6.9, created at 2026-03-07 22:33 +0800
« prev ^ index » next coverage.py v7.6.9, created at 2026-03-07 22:33 +0800
1import logging
3import triton
4import triton.language as tl
6from flag_gems.utils import pointwise_dynamic, tl_extra_shim
8logger = logging.getLogger(__name__)
9_pow = tl_extra_shim.pow
12@pointwise_dynamic(promotion_methods=[(0, 1, "BOOL_TO_LONG")])
13@triton.jit
14def pow_func(x, exponent):
15 if x.type.element_ty == tl.bfloat16:
16 return _pow(x.to(tl.float32), exponent)
17 elif x.type.element_ty == tl.float16:
18 return _pow(x.to(tl.float32), exponent)
19 else:
20 return _pow(x.to(tl.float64), exponent)
23def pow_tensor_tensor(A, exponent):
24 logger.debug("GEMS POW_TENSOR_TENSOR")
25 return pow_func(A, exponent)
28def pow_tensor_tensor_(A, exponent):
29 logger.debug("GEMS POW_TENSOR_TENSOR_")
30 return pow_func(A, exponent, out0=A)
33@pointwise_dynamic(is_tensor=[True, False], promotion_methods=[(0, 1, "BOOL_TO_LONG")])
34@triton.jit
35def pow_func_tensor_scalar(x, exponent):
36 if x.type.element_ty == tl.bfloat16:
37 return _pow(x.to(tl.float32), exponent)
38 elif x.type.element_ty == tl.float16:
39 return _pow(x.to(tl.float32), exponent)
40 else:
41 return _pow(x.to(tl.float64), exponent)
44def pow_tensor_scalar(A, exponent):
45 logger.debug("GEMS POW_TENSOR_SCALAR")
46 return pow_func_tensor_scalar(A, exponent)
49def pow_tensor_scalar_(A, exponent):
50 logger.debug("GEMS POW_TENSOR_SCALAR_")
51 return pow_func_tensor_scalar(A, exponent, out0=A)
54@pointwise_dynamic(is_tensor=[False, True], promotion_methods=[(0, 1, "BOOL_TO_LONG")])
55@triton.jit
56def pow_func_scalar_tensor(x, exponent):
57 if exponent.type.element_ty == tl.bfloat16:
58 return _pow(x.to(tl.float32), exponent)
59 elif exponent.type.element_ty == tl.float16:
60 return _pow(x.to(tl.float32), exponent)
61 else:
62 return _pow(x.to(tl.float64), exponent)
65def pow_scalar(A, exponent):
66 logger.debug("GEMS POW_SCALAR")
67 return pow_func_scalar_tensor(A, exponent)