import torch

def act_quant(x: torch.Tensor, block_size: int) -> tuple[torch.Tensor, torch.Tensor]:
    # Placeholder for activation quantization
    return x, torch.tensor(1.0)

def weight_dequant(weight: torch.Tensor, scale: torch.Tensor) -> torch.Tensor:
    # Placeholder for weight dequantization
    return weight * scale

def fp8_gemm(x: torch.Tensor, scale_x: torch.Tensor, weight: torch.Tensor, scale_w: torch.Tensor) -> torch.Tensor:
    # Placeholder for FP8 GEMM
    return torch.matmul(x, weight.t()) * (scale_x * scale_w)