Update Paddle examples for Paddle 3.4 - #6446
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Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
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| Filename | Overview |
|---|---|
| docs/examples/use_cases/paddle/resnet50/train.py | Unconditionally selects legacy static mode before Paddle imports, fully addressing the prior inherited-PIR-mode finding. |
| docs/examples/use_cases/paddle/tsm/infer.py | Selects legacy static mode before importing Paddle for the direct TSM inference entrypoint. |
| docs/examples/use_cases/paddle/resnet50/program.py | Adds Paddle 3.4-compatible static graph, execution strategy, and label-smoothed loss handling. |
| dali/python/nvidia/dali/plugin/paddle.py | Adds a Paddle 3.4 fallback for obtaining recursive LoD sequence lengths. |
| dali/test/python/test_fw_iterators.py | Adds expected-value coverage for clipping dense and LoD Paddle tensors. |
| qa/setup_packages.py | Updates Paddle package resolution for the supported CUDA configurations. |
Reviews (12): Last reviewed commit: "Remove unreachable PIR paths from TSM ex..." | Re-trigger Greptile
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- makes PaddlePaddle examples compatible with verion 3+ - renames tests names to PaddlePaddle to match the upstream naming convention Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
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Category:
Bug fix
Description:
Updates the Paddle TSM inference and ResNet50 training examples for Paddle 3.4 while retaining the Paddle 2.6.1 legacy-static path.
The examples select legacy static graph mode before Paddle is imported, avoid static APIs removed or incompatible in Paddle 3.4, preserve the published TSM checkpoint parameter names, and update the CUDA 13 QA dependency to
paddlepaddle-gpu==3.4.0.Additional information:
Affected modules and functionalities:
Key points relevant for the review:
ExecutionStrategy, and label-smoothed loss construction.Tests:
Checklist
Documentation
DALI team only
Requirements
REQ IDs: N/A
JIRA TASK: N/A