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joecummings
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Dec 27, 2022
| encoder_output = model_kwargs["encoder_outputs"][encoder_output_key] | ||
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| def update_func(emissions, N, T, prev_step_token_idxs, prev_step_model_states, timestep): | ||
| # `emissions` and `N` are unused in this current implementation |
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Could change this around to take in emissions, but AFAIK there is no easy way to get the actual tensor from the data_ptr.
joecummings
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| return final_tokens_as_tensors | ||
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| if num_python_workers > 1: |
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PyTorch has a MP module (essentially a clone of Python's MP); however, this relies on pickle, which means all of these functions would have to be at a global level. Very open to suggestions here.
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