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github.com/SHI-Labs/Any-Precision-DNNs @main

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88 symbols 247 edges 13 files 12 documented · 14%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

update
called by 18
utils.py
accuracy
called by 6
utils.py
get_lr_scheduler
called by 4
optimizer.py
get_dataset
called by 4
datasets/data.py
get_transform
called by 4
datasets/data.py
_make_layer
called by 4
models/resnet_quan.py
backward
called by 4
models/quan_ops.py
conv2d_quantize_fn
called by 3
models/quan_ops.py

Shape

Method 47
Class 22
Function 19

Languages

Python100%

Modules by API surface

models/quan_ops.py33 symbols
models/resnet_quan.py18 symbols
utils.py8 symbols
models/svhn_quan.py7 symbols
datasets/svhn.py6 symbols
datasets/cifar10.py6 symbols
train_imagenet.py2 symbols
train.py2 symbols
optimizer.py2 symbols
models/losses.py2 symbols
datasets/data.py2 symbols

For agents

$ claude mcp add Any-Precision-DNNs \
  -- python -m otcore.mcp_server <graph>

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