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zeekay
e037e8f7ea
The distribution called itself torus-ml while shipping a package directory named concrete, so the name a user installs and the name they import disagreed — and most of the tree already said torus.ml, which could not resolve against src/concrete. Moved src/concrete to src/torus and pointed the include at it. The dependency was Zama's concrete-python from their index. It is torus-fhe from ours, which is what luxfhe/torus already ships: that frontend declares torus-fhe and ships a torus/fhe module, so every 'from torus.fhe' in this tree was already naming our compiler and only the dependency lagged. Two distributions share one namespace, which is the shape the upstream this forked from used and the reason the split works: torus-fhe gives torus.fhe, torus-ml gives torus.ml. Swept every other spelling — identifiers, enum members, workflow variables, filenames, notebooks. LICENSE and NOTICE keep the upstream attribution a fork owes; the figures carry the old name in JPEG metadata a text sweep cannot reach.
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module torus.ml.common.serialization.decoder
Custom decoder for serialization.
Global Variables
- ALL_QUANTIZED_OPS
- SUPPORTED_TORCH_ACTIVATIONS
- USE_SKOPS
- TRUSTED_SKOPS
- SERIALIZABLE_CLASSES
function object_hook
object_hook(d: Any) → Any
Define a custom object hook that enables loading any supported serialized values.
If the input's type is non-native, then we expect it to have the following format.More information is available in the TorusEncoder class.
Args:
d(Any): The serialized value to load.
Returns:
Any: The loaded value.
Raises:
NotImplementedError: If the serialized object does not provides adump_dictmethod as expected.
class TorusDecoder
Custom json decoder to handle non-native types found in serialized Torus ML objects.
method __init__
__init__(*args, **kwargs)