nip.utils.torch.TensorDictPrint

class nip.utils.torch.TensorDictPrint(*args, **kwargs)

Print information about an input tensordict.

Parameters:

• keys (NestedKey | Iterable[NestedKey]) – The keys to print.

• name (str, default=None) – The name of the tensordict, which will be printed before the keys.

• print_nan_proportion (bool, default=False) – Whether to print the proportion of NaN values in the tensors.

Methods Summary

__init__(keys[, name, print_nan_proportion])	Initialize internal Module state, shared by both nn.Module and ScriptModule.
forward(tensordict)	Print the information about the tensors in the input tensordict.

Attributes

T_destination
call_super_init
dump_patches
in_keys
out_keys
out_keys_source
training

Methods

__init__(keys: str | tuple[str | tuple[NestedKey, ...], ...] | Iterable[str | tuple[str | tuple[NestedKey, ...], ...]], name: str | None = None, print_nan_proportion: bool = False)

Initialize internal Module state, shared by both nn.Module and ScriptModule.

forward(tensordict: TensorDictBase) → TensorDictBase

Print the information about the tensors in the input tensordict.

Parameters:

tensordict (TensorDictBase) – The input tensordict.

Returns:

tensordict (TensorDictBase) – The input tensordict, unchanged.