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"""Small compiled tensor helpers shared across runtime layers."""

from __future__ import annotations

import torch
from tokenspeed_kernel.torch_compile import get_compiler_backend


@torch.compile(dynamic=True, backend=get_compiler_backend())
def concat(a: torch.Tensor, b: torch.Tensor) -> torch.Tensor:
    """Concatenate two tensors along the last dimension."""
    return torch.cat([a, b], dim=-1)


@torch.compile(dynamic=True, backend=get_compiler_backend())
def fp8_cast_contiguous(x: torch.Tensor) -> torch.Tensor:
    """Cast to FP8 E4M3 and return a contiguous tensor."""
    return x.to(torch.float8_e4m3fn).contiguous()