Types & classes — github.com/ChangyuanWang17/APQ-DM

CodeHub MCPcopy Create free account

hub / github.com/ChangyuanWang17/APQ-DM / types & classes

Types & classes29 in github.com/ChangyuanWang17/APQ-DM

⨍ Functions 210◇ Types & classes 29

↓ 4 callersClassFIDInceptionC

InceptionC block patched for FID computation

pytorch-fid-master/src/pytorch_fid/inception.py:249

↓ 4 callersClassResnetBlock

models/diffusion.py:79

↓ 3 callersClassAttnBlock

models/diffusion.py:168

↓ 3 callersClassCelebA

`Large-scale CelebFaces Attributes (CelebA) Dataset <http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html>`_ Dataset. Args: root (string): Ro

datasets/celeba.py:8

↓ 3 callersClassCrop

datasets/__init__.py:14

↓ 3 callersClassFIDInceptionA

InceptionA block patched for FID computation

pytorch-fid-master/src/pytorch_fid/inception.py:224

↓ 3 callersClassLSUN

`LSUN <https://www.yf.io/p/lsun>`_ dataset. Args: root (string): Root directory for the database files. classes (string or l

datasets/lsun.py:61

↓ 3 callersClassModel

models/diffusion.py:223

↓ 2 callersClassFFHQ

datasets/ffhq.py:8

↓ 2 callersClassInceptionV3

Pretrained InceptionV3 network returning feature maps

pytorch-fid-master/src/pytorch_fid/inception.py:16

↓ 2 callersClassQConv2d

utils/quant_util.py:347

↓ 2 callersClassSmoothedValue

Track a series of values and provide access to smoothed values over a window or the global series average.

↓ 1 callersClassDiffusion

runners/diffusion.py:66

↓ 1 callersClassDownsample

models/diffusion.py:57

↓ 1 callersClassEMAHelper

models/ema.py:4

↓ 1 callersClassFIDInceptionE_1

First InceptionE block patched for FID computation

pytorch-fid-master/src/pytorch_fid/inception.py:277

↓ 1 callersClassFIDInceptionE_2

Second InceptionE block patched for FID computation

pytorch-fid-master/src/pytorch_fid/inception.py:310

↓ 1 callersClassImagePathDataset

pytorch-fid-master/src/pytorch_fid/fid_score.py:77

↓ 1 callersClassLSUNClass

datasets/lsun.py:11

↓ 1 callersClassQuant

utils/quant_util.py:47

↓ 1 callersClassStandardTransform

datasets/vision.py:58

↓ 1 callersClassUniformDataset

get random uniform samples with mean 0 and variance 1

utils/data_utils.py:25

↓ 1 callersClassUpsample

models/diffusion.py:38

ClassAsymmetricQuantFunction

Class to quantize the given floating-point values with given range and bit-setting. Currently only support inference, but not support back-pr

utils/quantization_utils/quant_utils.py:136

ClassAverageMeter

Computes and stores the average and current value

utils/compute.py:70

ClassMetricLogger

utils/quant_util.py:70

utils/quant_util.py:336

ClassVisionDataset

datasets/vision.py:6