b690a10e3a
Signed-off-by: Lancer <maruixiang6688@gmail.com> Co-authored-by: 汪志鹏 <wangzhipeng628@gmail.com> Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""
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MagCache state management.
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This module contains the MagCacheState class which manages the internal state
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for MagCache caching logic, including residuals, accumulated metrics, and step tracking.
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"""
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import torch
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class MagCacheState:
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"""State management for MagCache caching logic."""
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def __init__(self) -> None:
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"""Initialize empty MagCache state."""
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self.previous_residual: torch.Tensor | tuple[torch.Tensor, torch.Tensor] | None = None
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self.head_block_input: torch.Tensor | tuple[torch.Tensor, torch.Tensor] | None = None
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self.should_compute: bool = True
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self.accumulated_ratio: float = 1.0
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self.accumulated_err: float = 0.0
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self.accumulated_steps: int = 0
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self.step_index: int = 0
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self.calibration_ratios: list[float] = []
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self.norm_ratios: list[float] = []
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self.norm_stds: list[float] = []
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self.cos_dises: list[float] = []
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self._is_first_step: bool = True
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def reset(self) -> None:
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"""Reset all state variables for a new inference run."""
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self.previous_residual = None
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self.head_block_input = None
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self.should_compute = True
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self.accumulated_ratio = 1.0
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self.accumulated_err = 0.0
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self.accumulated_steps = 0
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self.step_index = 0
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self.calibration_ratios = []
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self.norm_ratios = []
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self.norm_stds = []
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self.cos_dises = []
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self._is_first_step = True
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