Coverage for src/flag_gems/runtime/backend/_ascend/ops/stack.py: 0%
36 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 itertools
2import logging
3from typing import List, Tuple, Union
5import torch
6import triton
8from flag_gems.utils import pointwise_dynamic
9from flag_gems.utils.tensor_wrapper import StridedBuffer
11logger = logging.getLogger(f'flag_gems.runtime._ascend.ops.{__name__.split(".")[-1]}')
14@pointwise_dynamic(is_tensor=[True], promotion_methods=[(0, "DEFAULT")])
15@triton.jit
16def copy_func(x):
17 return x
20def stack(
21 tensors: Union[Tuple[torch.Tensor, ...], List[torch.Tensor]], dim: int = 0
22) -> torch.Tensor:
23 logger.debug("GEMS_ASCEND STACK")
25 if len(tensors) == 0:
26 raise RuntimeError("stack expected a non-empty TensorList")
28 inp_shapes = [list(_.shape) for _ in tensors]
29 inp0_shape = inp_shapes[0]
30 for i, s in enumerate(inp_shapes[1:]):
31 if (dim < -tensors[i + 1].dim() - 1) or (dim > tensors[i + 1].dim()):
32 raise IndexError(
33 "Dimension out of range (expected to be in range of [{}, {}], but got {})".format(
34 -tensors[i + 1].dim() - 1, tensors[i + 1].dim(), dim
35 )
36 )
37 if s != inp0_shape:
38 raise RuntimeError(
39 f"stack expects each tensor to be equal size, but got {inp0_shape} at entry 0 and {s} at entry {i + 1}"
40 )
42 if dim < 0:
43 dim = dim + len(inp0_shape) + 1
45 in0_shape = inp0_shape[:dim] + [1] + inp0_shape[dim:]
46 out_shape = inp0_shape[:dim] + [len(tensors)] + inp0_shape[dim:]
47 out0 = torch.empty(out_shape, dtype=tensors[0].dtype, device=tensors[0].device)
48 out0_strides = out0.stride()
49 out0_offsets = list(
50 itertools.accumulate([out0_strides[dim] for _ in inp_shapes[:-1]], initial=0)
51 )
53 for a, out0_offset in zip(tensors, out0_offsets):
54 a = a.reshape(in0_shape)
55 in_view = StridedBuffer(a, in0_shape, a.stride())
56 out_view = StridedBuffer(out0, in0_shape, out0.stride(), offset=out0_offset)
57 copy_func.instantiate(a.ndim)(in_view, out0=out_view)
59 return out0