merge: Pull Huihuo's data fix into microsoft-main
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saforem2
commented
Oct 12, 2024
megatron/data/gpt_dataset.py
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119
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121
| np_rng = np.random.RandomState(seed=dataset_builders[0].seed) | ||
| self.shuffle_index = np.arange(self.num_samples) | ||
| np_rng.shuffle(self.shuffle_index) |
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Create (and shuffle) a global shuffle_index of len(num_samples).
Explicitly, this
BuildConcatDataset.shuffle_indexis a list of indices maps each sample to a particular {dataset_index, dataset_sample_index}
Example
>>> import numpy as np
>>> shuffle_index = np.arange(10)
>>> np_rng = np.random.RandomState(seed=123)
>>> shuffle_index
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> np_rng.shuffle(shuffle_index)
>>> shuffle_index
array([4, 0, 7, 5, 8, 3, 1, 6, 9, 2])
Other quality of life improvementsNote Below copied from Logging Improvements
Changes to
|
…into hzheng-data-fix
…tron-DeepSpeed into hzheng-data-fix
Pull in changes from [6acc370](6acc370) to [`megatron/utils.py`](https://github.com/argonne-lcf/Megatron-DeepSpeed)
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Data Fix
Adds mechanism for correctly shuffling samples across documents from multiple corpora.
The mechanism is implemented inside the
BuildConcatDatasetobject frommegatron/data/gpt_dataset.py.In particular, the shuffle indices are created at
gpt_dataset.py#L118-119which are then used for selecting an individual sample in the
BuildConcatDataset.__getitem__method here:gpt_dataset.py#L130-L132Other changes
ALCF/requirements/requirements.txtALCF/test_blendable_dataset.pymegatron/core/pipeline_parallel/p2p_communication.pymegatron/data/gpt_dataset.pymegatron/utils.py