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Mojo function

load

load[PathLike: PathLike](path: PathLike) -> TensorDict

Reads tensors from saved checkpoint file.

This supports only MAX checkpoint files saved with save().

For example:

from max.graph.checkpoint import load, TensorDict
from max.tensor import Tensor, TensorShape

def read_from_disk():
    tensors = load("/path/to/checkpoint.maxckpt")
    x = tensors.get("x").to_tensor[DType.int32]()
from max.graph.checkpoint import load, TensorDict
from max.tensor import Tensor, TensorShape

def read_from_disk():
    tensors = load("/path/to/checkpoint.maxckpt")
    x = tensors.get("x").to_tensor[DType.int32]()

Args:

  • ​path (PathLike): Path to existing checkpoint file.

Returns:

TensorDict containing loaded Tensors.

Raises:

If the checkpoint file was saved with an older serialization format.

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