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39 symbols 144 edges 8 files 2 documented · 5%
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README

XLSR

PyTorch implementation of paper "Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices"

Core symbols most depended-on inside this repo

create_dataloader
called by 7
dataset.py
cal_psnr
called by 4
metric.py
save_res
called by 3
visualization.py
train
called by 1
train.py
validation
called by 1
train.py
random_crop
called by 1
dataset.py
visualize_training
called by 1
visualization.py
train_one_epoch
called by 1
QAT.py

Shape

Method 18
Function 13
Class 8

Languages

Python100%

Modules by API surface

model.py19 symbols
dataset.py6 symbols
QAT.py5 symbols
loss.py3 symbols
visualization.py2 symbols
train.py2 symbols
test.py1 symbols
metric.py1 symbols

For agents

$ claude mcp add XLSR \
  -- python -m otcore.mcp_server <graph>

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