Fix attribute error problem #20765
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sgugger merged 1 commit intohuggingface:mainfrom Dec 14, 2022
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解决使用use_legacy_prediction_loop参数在predict阶段使用prediction_loop进行预测时，遇到AttributeError: 'PredictionOutput' object has no attribute 'num_samples'的问题
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mpierrau
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Dec 15, 2022
fix: 修复Trainer无法使用use_legacy_prediction_loop参数的问题 解决使用use_legacy_prediction_loop参数在predict阶段使用prediction_loop进行预测时，遇到AttributeError: 'PredictionOutput' object has no attribute 'num_samples'的问题 Co-authored-by: ZhouHang <zhouhang@idataway.com>
gsarti
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Dec 16, 2022
… add_get_encoder_decoder_fsmt * 'main' of ssh://github.com/huggingface/transformers: (1433 commits) Add Universal Segmentation class + mapping (huggingface#20766) Stop calling expand_1d on newer TF versions (huggingface#20786) Fix object detection2 (huggingface#20798) [Pipeline] skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING` (huggingface#20790) Recompile `apex` in `DeepSpeed` CI image (huggingface#20788) Move convert_to_rgb to image_transforms module (huggingface#20784) Generate: use `GenerationConfig` as the basis for `.generate()` parametrization (huggingface#20388) Install video dependency for pipeline CI (huggingface#20777) Fixing object detection with `layoutlm` (huggingface#20776) [Pipeline] fix failing bloom `pipeline` test (huggingface#20778) Patch for FlanT5-XXL 8bit support (huggingface#20760) Install vision for TF pipeline tests (huggingface#20771) Even more validation. (huggingface#20762) Add Swin backbone (huggingface#20769) Install `torch-tensorrt 1.3.0` for DeepSpeed CI (huggingface#20764) Replaces xxx_required with requires_backends (huggingface#20715) [CI-Test] Fixes but also skips the mT5 tests (huggingface#20755) Fix attribute error problem (huggingface#20765) [Tests] Improve test_attention_outputs (huggingface#20701) Fix missing `()` in some usage of `is_flaky` (huggingface#20749) ...
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When the
use_legacy_prediction_loopparameter is used ,Trainer.predictwill raise an errorAttributeError: 'PredictionOutput' object has no attribute 'num_samples'What does this PR do?
EvalLoopOutputinstead of originalPredictionOutputofself.prediction_loop, this makes the return formats ofself.prediction_loopsame asself.evaluation_loop.Before submitting
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