Comments (2)
jackshi0912
commented on May 23, 2024
2
+1
It would be better if init could ask the data it needs instead of handling file I/O and looking for params in args. Some systems may use very special methods to load yaml, json, protobuf, etc. into memory for initialization and configuration.
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jeffra
commented on May 23, 2024
In the process of implementing this enhancement we will consider removing the --deepspeed flag since this is not used internally in DeepSpeed code. It should be up to the user if they want to implement a DeepSpeed and non-DeepSpeed version of their code controlled by a flag.
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Related Issues (20)
- [BUG] Mismatch between dtype settings in model and ds_config results in NaN loss
- [REQUEST] Launcher mode with SSH bypass HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: ':/usr/local/cuda/bin/nvcc' HOT 3
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- [BUG] When initializing model_engine, if an mpu is specified, it can lead to an excessively large checkpoint size, and the checkpoint may not be convertible through the `zero_to_fp32.py` script.
- [BUG] Uneven work distribution caused by get_shard_size changes HOT 8
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- [BUG] BertLMHeadModel.from_pretrained hangs when using zero-3 / zero3-offload HOT 1
- [BUG]Why ZeroOneAdam is easy to OOM compared to Adam optimizer?
- [BUG] Why the results were inconsistent in two identical tests with config zero2 + overlap_comm HOT 4
- [BUG] Zero3: Post backward hook is not triggered for submodules whose inputs have .required_grad=False HOT 1
- Get a error when use deepspeed training with torch.compile HOT 1
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- [BUG] FlopsProfiler upsample flops compute bug
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- [BUG] Zero3: Gather the params for inference(huggingface_language_model.generate) in the end of 1 epoch and re-partition it for next epoch training HOT 9
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