[Slice]Refine index_elementwise_put_grad#73809
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changeyoung98 merged 3 commits intoPaddlePaddle:developfrom Jul 4, 2025
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[Slice]Refine index_elementwise_put_grad#73809changeyoung98 merged 3 commits intoPaddlePaddle:developfrom
changeyoung98 merged 3 commits intoPaddlePaddle:developfrom
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changeyoung98
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support running `input_torch_dynamic.json` with paddle backend(including CINN) TODO list: - [x] PaddlePaddle/Paddle#73601 - [x] PaddlePaddle/Paddle#73622 - [x] PaddlePaddle/Paddle#73737 - [x] PaddlePaddle/Paddle#73747 - [x] PaddlePaddle/Paddle#73809 - [x] PaddlePaddle/Paddle#73761 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit ## Summary by CodeRabbit * **Bug Fixes** * Resolved issues with tensor shape and indexing consistency, preventing assertion errors during model execution. * Improved handling of default tensor initialization to avoid JIT assertion issues. * **Refactor** * Standardized tensor dimension handling and broadcasting for improved clarity and maintainability. * Enhanced code readability with clearer indexing conventions and formatting. * Updated aggregation logic for safer and more efficient tensor operations. * **New Features** * Added an option to control graph index mapping behavior for greater flexibility in advanced use cases. * **Tests** * Introduced comprehensive tests validating descriptor model consistency with dynamic selection enabled. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
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Dec 17, 2025
support running `input_torch_dynamic.json` with paddle backend(including CINN) TODO list: - [x] PaddlePaddle/Paddle#73601 - [x] PaddlePaddle/Paddle#73622 - [x] PaddlePaddle/Paddle#73737 - [x] PaddlePaddle/Paddle#73747 - [x] PaddlePaddle/Paddle#73809 - [x] PaddlePaddle/Paddle#73761 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit ## Summary by CodeRabbit * **Bug Fixes** * Resolved issues with tensor shape and indexing consistency, preventing assertion errors during model execution. * Improved handling of default tensor initialization to avoid JIT assertion issues. * **Refactor** * Standardized tensor dimension handling and broadcasting for improved clarity and maintainability. * Enhanced code readability with clearer indexing conventions and formatting. * Updated aggregation logic for safer and more efficient tensor operations. * **New Features** * Added an option to control graph index mapping behavior for greater flexibility in advanced use cases. * **Tests** * Introduced comprehensive tests validating descriptor model consistency with dynamic selection enabled. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
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pcard-67164