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Delete untested, broken Model2LSTM (#2968)

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Sam Shleifer 2020-02-23 11:28:48 -05:00 committed by GitHub
parent 0e84559d64
commit 129f0604ac
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1 changed files with 0 additions and 19 deletions
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src/transformers/modeling_encoder_decoder.py
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@ -18,7 +18,6 @@
import logging
import os
import torch
from torch import nn
from .modeling_auto import AutoModel, AutoModelWithLMHead
@ -294,21 +293,3 @@ class Model2Model(PreTrainedEncoderDecoder):
)
return model
class Model2LSTM(PreTrainedEncoderDecoder):
@classmethod
def from_pretrained(cls, *args, **kwargs):
if kwargs.get("decoder_model", None) is None:
# We will create a randomly initilized LSTM model as decoder
if "decoder_config" not in kwargs:
raise ValueError(
"To load an LSTM in Encoder-Decoder model, please supply either: "
" - a torch.nn.LSTM model as `decoder_model` parameter (`decoder_model=lstm_model`), or"
" - a dictionary of configuration parameters that will be used to initialize a"
" torch.nn.LSTM model as `decoder_config` keyword argument. "
" E.g. `decoder_config={'input_size': 768, 'hidden_size': 768, 'num_layers': 2}`"
)
kwargs["decoder_model"] = torch.nn.LSTM(kwargs.pop("decoder_config"))
model = super().from_pretrained(*args, **kwargs)
return model