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github.com/cybertronai/gradient-checkpointing @main

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289 symbols 878 edges 25 files 125 documented · 43%
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

write
called by 32
test/deep_resnet_benchmark.py
debug_print
called by 25
memory_saving_gradients.py
update
called by 16
test/linearize.py
block_layer
called by 14
test/resnet_model.py
int_shape
called by 11
test/pixel_cnn_pp/nn.py
get_var_maybe_avg
called by 11
test/pixel_cnn_pp/nn.py
conv2d_fixed_padding
called by 10
test/resnet_model.py
make_chain_tanh_constant
called by 9
test/util.py

Shape

Function 246
Method 34
Class 7
Route 2

Languages

Python100%

Modules by API surface

test/linearize.py43 symbols
test/util.py41 symbols
test/linearize_test.py25 symbols
test/memory_test.py23 symbols
test/pixel_cnn_pp/nn.py22 symbols
memory_saving_gradients.py16 symbols
test/resnet_model.py14 symbols
test/deep_resnet_benchmark.py11 symbols
test/data/imagenet_data.py11 symbols
test/data/cifar10_data.py11 symbols
test/mnist_correctness_test.py9 symbols
test/mem_util_test.py9 symbols

For agents

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

⬇ download graph artifact