Add resnet20#25
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Nice! I was able to run this.
Can you rebase against main? Please only keep the cifar-10 and resnet20 models in this PR.
For reference, I got the measurement files (roughly takes 2 hours to run with the cifar-10 dataset load time).
{
"model_name": "resnet20",
"dataset_name": "cifar10",
"Timing": {
"Test dataset generation": "28.5534s",
"Key Generation": "167.453s",
"Encrypted model preprocessing": "0.0102s",
"Input generation": "6.0968s",
"Input preprocessing": "0.0073s",
"Input encryption": "1.4808s",
"Encrypted computation": "5256.1713s",
"Result decryption": "1.0469s",
"Result postprocessing": "0.0072s",
"Total": "5460.8268s"
},
"Bandwidth": {
"Public and evaluation keys": "50.4G",
"Encrypted input": "28.0M",
"Encrypted results": "8.0M"
},
"Server Reported": {}
}
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Some more comments
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can you add this file to .gitignore so its no longer tracked.
| endif() | ||
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| # -------------------------------------------------------------------- | ||
| # 4. Create mlp library |
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| # Use pre-built mlp_openfhe library | ||
| add_library( mlp_openfhe STATIC IMPORTED ) | ||
| set_target_properties( mlp_openfhe PROPERTIES IMPORTED_LOCATION ${CMAKE_CURRENT_SOURCE_DIR}/../pre-built-library/libmlp_openfhe.a ) |
| parser.add_argument('--remote', action='store_true', | ||
| help='Run example submission in remote backend mode') | ||
| parser.add_argument('--model', default='mlp', type=str, | ||
| parser.add_argument('--model', default=None, type=str, |
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Its ok for the default model to be mlp (since the default dataset=mnist)
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| # 4. Client-side: Generate a new random input using harness/generate_input.py | ||
| cmd_args = [str(size),] | ||
| cmd_args = [str(size), "--dataset", dataset_name] |
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Changing to request changes for a last few comments
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Adding the second pull request which contains the resnet-20 model as the reference for cifar10. It also include a modification to the harness that allow it to set mlp as default model for mnist and resnet20 as default model for cifar10.