Make model.Generator serializable to TorchScript#47
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Test command to serialize the model: python -c 'import torch ; import model ; m = model.Generator() ; s = torch.jit.script(m)' Before this change there were two errors during serialization. First, the interpolate call expects a float rather than an integer: RuntimeError: Arguments for call are not valid. Second was the types on the forward call: RuntimeError: Expected a default value of type Tensor (inferred) on parameter "align_corners".Because "align_corners" was not annotated with an explicit type it is assumed to be type 'Tensor'.:
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Test command to serialize the model:
python -c 'import torch ; import model ; m = model.Generator() ; s = torch.jit.script(m)'
Before this change there were two errors during serialization. First, the
interpolate call expects a float rather than an integer:
RuntimeError: Arguments for call are not valid.
Second was the types on the forward call:
RuntimeError: Expected a default value of type Tensor (inferred) on parameter "align_corners".Because "align_corners" was not annotated with an explicit type it is assumed to be type 'Tensor'.: