Enable open registration of VariableType objects#8540
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zdevito merged 1 commit intopytorch:masterfrom Jun 15, 2018
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We have 2 use cases where we want to experiment with new base ATen tensor types: * BatchTensor for matchbox * Tensors that live on accelerators It is possible to subclass TensorImpl to implement these but VariableType does not work with them because it cannot find the equivalent variable type in the registry. This commit changes the way we implement type -> variable(type) lookup so that torch::register_variable_type_for can be called on any at::Type. Lookups are still done using arrays so there should be no perf impact from the change.
ezyang
reviewed
Jun 15, 2018
| return "VariableType"; | ||
| } | ||
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| // Pre-condition: backend/scalar_type is a valid type in the type_registry |
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ezyang
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Jun 15, 2018
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ezyang
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There might be some additional legwork to do when binding to Python in PyTypeObject, but the rest looks good.
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We have 2 use cases where we want to experiment with new base ATen
tensor types:
It is possible to subclass TensorImpl to implement these but VariableType
does not work with them because it cannot find the equivalent variable type
in the registry.
This commit changes the way we implement type -> variable(type) lookup so that
torch::register_variable_type_for can be called on any at::Type.
Lookups are still done using arrays so there should be no perf impact from the change.