(Minor change) Added the tracer_kwargs to the TorchFXFeatureExtractor class #1214
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ashwinvaidya17
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Aug 10, 2023
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samet-akcay
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Aug 15, 2023
* Configure readthedocs via `.readthedocs.yaml` file (#1229) * 🚚 Refactor Benchmarking Script (#1216) * New printing stuff * Remove dead code + address codacy issues * Refactor try/except + log to comet/wandb during runs * pre-commit error * third-party configuration --------- Co-authored-by: Ashwin Vaidya <[email protected]> * Update CODEOWNERS * Enable training with only normal images for MVTec (#1241) * ignore mask check when dataset has only normal samples * update changelog * Revert "🚚 Refactor Benchmarking Script" (#1239) Revert "🚚 Refactor Benchmarking Script (#1216)" This reverts commit 784767f. * Update benchmarking notebook (#1242) * Fix metadata path * Update benchmarking notebook * Fix links to model architecture images (#1245) * Fix links to architecture images * Change links to raw files * Wandb unwatch method belongs to experiment, not logger (#1246) unwatch method belongs to experiment, not logger * (Minor change) Added the tracer_kwargs to the TorchFXFeatureExtractor class (#1214) * Added tracer_kwargs to torchfx * Added tracer_kwargs on docstring * Replace cdist in Patchcore (#1267) * Ignore hidden directories when creating `Folder` dataset (#1268) * Remove `config` from argparse in OpenVINO inference script. (#1257) * Fix metadata path * Remove leftover argument * Update openvino entrypoint script * Fix EfficientAD number of steps for optimizer lr change? (#1266) * Fix metadata path * Fix number of steps --------- Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Ashwin Vaidya <[email protected]> Co-authored-by: Dick Ameln <[email protected]> Co-authored-by: Blaž Rolih <[email protected]> Co-authored-by: Sean Aubin <[email protected]> Co-authored-by: JoaoGuibs <[email protected]>
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Description
Currently the usage of specific feature extractors with custom layers, some of which might be problematic to the torch tracer is not possible (check example in the pytorch documentation). For this to work, I added the tracer_kwargs parameter to the custom "TorchFXFeatureExtractor" class.
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