model: pytorch: Add custom Neural Network & layer support and loss function entrypoints #839
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Signed-off-by: sakshamarora1 <sakshamarora1001@gmail.com>
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Signed-off-by: sakshamarora1 <sakshamarora1001@gmail.com>
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Due to codeql's lack of understanding of metaclasses Related: github/codeql#2445 Signed-off-by: John Andersen <john.s.andersen@intel.com>
Signed-off-by: John Andersen <john.s.andersen@intel.com>
Add a function to run a doctest of an object and raise an excpetion if it failed. Signed-off-by: John Andersen <johnandersenpdx@gmail.com>
Signed-off-by: John Andersen <johnandersenpdx@gmail.com>
Signed-off-by: John Andersen <johnandersenpdx@gmail.com>
Signed-off-by: John Andersen <johnandersenpdx@gmail.com>
Signed-off-by: sakshamarora1 <sakshamarora1001@gmail.com>
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…te_layer Signed-off-by: sakshamarora1 <sakshamarora1001@gmail.com>
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Codecov Report
@@ Coverage Diff @@
## master #839 +/- ##
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Coverage 87.29% 87.29%
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Files 132 132
Lines 8044 8044
Branches 1303 1303
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Hits 7022 7022
Misses 773 773
Partials 249 249 Continue to review full report at Codecov.
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@pdxjohnny Should this example be under tutorials instead of usage? |
Signed-off-by: sakshamarora1 <sakshamarora1001@gmail.com>
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Fixes: #794
TODOs:
model/pytorch/dffml_model_pytorch/pytorch_pretrained.pymodel.pytorch/dffml_model_pytorch/pytorch_base.pyto support non classification/image processing tasksPyTorchsource code (probably in their next release as they are working on it right now)The last 2 points in the list will be their own separate pull requests
I also want to try and find if there's a non-confusing way to connect pre-trained model architectures and custom neural nets after all of the above has been done!
Signed-off-by: sakshamarora1 sakshamarora1001@gmail.com