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Commits on Nov 9, 2023

• device-agnostic deepspeed testing (#27342)

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Commits on Nov 8, 2023

• moving example of benchmarking to legacy dir (#27337)

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Commits on Nov 6, 2023

• enable memory tracker metrics for npu (#27280)

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Commits on Nov 2, 2023

• Reproducible checkpoint for npu (#27208)

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Commits on Nov 1, 2023

• device agnostic fsdp testing (#27120)

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Commits on Oct 31, 2023

• device agnostic models testing (#27146)

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• device agnostic pipelines testing (#27129)

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• deprecate function `get_default_device` in `tools/base.py` (#26774)

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Commits on Oct 30, 2023

• Device agnostic trainer testing (#27131)

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• make tests of pytorch_example device agnostic (#27081)

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• remove the obsolete code related to fairscale FSDP (#26651)

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Commits on Oct 6, 2023

• remove SharedDDP as it is deprecated (#25702)

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Commits on Oct 4, 2023

• Extend Trainer to enable Ascend NPU to use the fused Adamw optimizer when training (#26194)

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Commits on Sep 27, 2023

• add bf16 mixed precision support for NPU (#26163)

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Commits on Sep 5, 2023

• nn.Identity is not required to be compatible with PyTorch < 1.1.0 as the minimum PyTorch version we currently support is 1.10.0 (#25974)

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Commits on Aug 25, 2023

• fix a typo in docsting (#25759)

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Commits on Aug 10, 2023

• docs: add LLaMA-Efficient-Tuning to awesome-transformers (#25441)

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Commits on Aug 9, 2023

• Improve training args (#25401)

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Commits on Aug 8, 2023

• Enable tests to run on third-party devcies (#25327)

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Commits on Jul 28, 2023

• make run_generation more generic for other devices (#25133)

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Commits on Jul 25, 2023

• replace `per_gpu_eval_batch_size` with `per_device_eval_batch_size` in readme of multiple-choice task (#25078)

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Commits on Jul 20, 2023

• replace no_cuda with use_cpu in test_pytorch_examples (#24944)

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Commits on Jul 18, 2023

• add ascend npu accelerator support (#24879)

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Commits on Jul 17, 2023

• Remove deprecated codes (#24837)

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• deprecate `sharded_ddp` training argument (#24825)

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