tf.train.experimental.ShardableTensor
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Tensor wrapper containing data necessary for sharding.
tf.train.experimental.ShardableTensor(
_tensor_save_spec: saveable_object.SaveSpec,
tensor: tf.Tensor,
dtype: tf.dtypes.DType,
device: tf.DeviceSpec,
name: str,
shape: tf.TensorShape,
slice_spec: tf.Variable.SaveSliceInfo,
checkpoint_key: str,
trackable: base.Trackable
)
The tensor representation used as inputs to pre-made and custom tf.train.experiemental.ShardingCallbacks, which can be specified using the experimental_sharding_callback option in tf.train.CheckpointOptions.
Attributes |
|---|
tensor | Dataclass field |
dtype | Dataclass field |
device | Dataclass field |
name | Dataclass field |
shape | Dataclass field |
slice_spec | Dataclass field |
checkpoint_key | Dataclass field |
trackable | Dataclass field |
Methods
__eq__
__eq__(
other
)
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Last updated 2024-04-26 UTC.
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