wehub-resource-sync
112 lines
3.8 KiB
Python
112 lines
3.8 KiB
Python
#
|
|
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
|
|
|
|
"""Calibrator that returns the absolute max of all collected tensors"""
|
|
from absl import logging
|
|
import torch
|
|
|
|
from pytorch_quantization.calib.calibrator import _Calibrator
|
|
from pytorch_quantization import utils as quant_utils
|
|
|
|
class MaxCalibrator(_Calibrator):
|
|
"""Max calibrator, tracks the maximum value globally
|
|
|
|
Args:
|
|
calib_desc: A MaxCalibDescriptor.
|
|
num_bits: An integer. Number of bits of quantization.
|
|
axis: A tuple. see QuantDescriptor.
|
|
unsigned: A boolean. using unsigned quantization.
|
|
|
|
Readonly Properties:
|
|
amaxs: A list of amax. Numpy array is saved as it is likely to be used for some plot.
|
|
"""
|
|
def __init__(self, num_bits, axis, unsigned, track_amax=False):
|
|
super(MaxCalibrator, self).__init__(num_bits, axis, unsigned)
|
|
self._track_amax = track_amax
|
|
if self._track_amax:
|
|
self._amaxs = [] # shall we have a better name?
|
|
self._calib_amax = None
|
|
|
|
# pylint:disable=missing-docstring
|
|
@property
|
|
def amaxs(self):
|
|
return self._amaxs
|
|
# pylint:enable=missing-docstring
|
|
|
|
def collect(self, x):
|
|
"""Tracks the absolute max of all tensors
|
|
|
|
Args:
|
|
x: A tensor
|
|
|
|
Raises:
|
|
RuntimeError: If amax shape changes
|
|
"""
|
|
if torch.min(x) < 0.:
|
|
logging.log_first_n(
|
|
logging.INFO,
|
|
("Calibrator encountered negative values. It shouldn't happen after ReLU. "
|
|
"Make sure this is the right tensor to calibrate."),
|
|
1)
|
|
x = x.abs()
|
|
|
|
# Swap axis to reduce.
|
|
axis = self._axis if isinstance(self._axis, (list, tuple)) else [self._axis]
|
|
# Handle negative axis.
|
|
axis = [x.dim() + i if isinstance(i, int) and i < 0 else i for i in axis]
|
|
reduce_axis = []
|
|
for i in range(x.dim()):
|
|
if not i in axis:
|
|
reduce_axis.append(i)
|
|
local_amax = quant_utils.reduce_amax(x, axis=reduce_axis).detach()
|
|
if self._calib_amax is None:
|
|
self._calib_amax = local_amax
|
|
else:
|
|
if local_amax.shape != self._calib_amax.shape:
|
|
raise RuntimeError("amax shape changed!")
|
|
self._calib_amax.copy_(torch.max(self._calib_amax, local_amax).data)
|
|
|
|
if self._track_amax:
|
|
self._amaxs.append(local_amax.cpu().numpy())
|
|
|
|
def reset(self):
|
|
"""Reset the collected absolute max"""
|
|
self._calib_amax = None
|
|
|
|
def compute_amax(self):
|
|
"""Return the absolute max of all tensors collected"""
|
|
return self._calib_amax
|
|
|
|
# pylint:disable=missing-docstring
|
|
def __str__(self):
|
|
s = "MaxCalibrator("
|
|
s += "track_amax={_track_amax}"
|
|
s += ")"
|
|
return s.format(**self.__dict__)
|
|
|
|
def __repr__(self):
|
|
s = "MaxCalibrator("
|
|
s += super(MaxCalibrator, self).__repr__()
|
|
s += " calib_amax={_calib_amax}"
|
|
s += " track_amax={_track_amax}"
|
|
if self._track_amax:
|
|
s += " amaxs={_amaxs}"
|
|
s += ")"
|
|
return s.format(**self.__dict__)
|
|
# pylint:enable=missing-docstring
|