tf.train.experimental.ShardByTaskPolicy | TensorFlow v2.16.1 (original) (raw)
tf.train.experimental.ShardByTaskPolicy
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Policy that splits tensors into shards based on their device spec task.
Inherits From: ShardingCallback
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.train.experimental.ShardByTaskPolicy
| Attributes | | | ----------- | | | description | |
Methods
__call__
__call__(
shardable_tensors: Sequence[tf.train.experimental.ShardableTensor]
) -> Sequence[sharding_util.TensorSliceDict]
Callback to split tensors into shards based on their device spec task.
| Args | |
|---|---|
| shardable_tensors | A list of ShardableTensors. |
| Returns |
|---|
| List of shard dicts containing tensors. [ {checkpoint key: {slice_spec: tensor} } ] |
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Last updated 2024-04-26 UTC.