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add gitignore, add requirements, correct format, add main, add modes … #13

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3 changes: 3 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -0,0 +1,3 @@
.idea/
__pycache__/
*.pyc
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -5,7 +5,7 @@ Pytorch version of generating-reviews-discovering-sentiment : https://github.com

Sample command :

python visualize.py -seq_length 1000 -cuda -load_model mlstm_ns.pt -temperature 0.4 -neuron 2388 -init "I couldn't figure out"
python visualize.py -seq_length 1000 -cuda -load_model mlstm_ns.pt -temperature 0.4 -neuron 2388 -mode "show" -init "I couldn't figure out"

Click on release to get model file mlstm_ns.pt or numpy weights.

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26 changes: 10 additions & 16 deletions convert_to_cpu.py
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@@ -1,30 +1,24 @@
import os
import torch
from torch.autograd import Variable
from torch import optim
import torch.nn.functional as F
import torch.nn as nn
import argparse
import models

import torch

parser = argparse.ArgumentParser(description='convert_to_cpu.py')

parser.add_argument('-load_model', default='',
help="""Model filename to load and convert.""")
opt = parser.parse_args()
help="""Model filename to load and convert.""")

opt = parser.parse_args()

checkpoint = torch.load(opt.load_model)
embed = checkpoint['embed']
rnn = checkpoint['rnn']

checkpoint = {
'rnn': rnn.cpu(),
'embed': embed.cpu(),
'opt': checkpoint['opt'],
'epoch': checkpoint['epoch']
}
'rnn': rnn.cpu(),
'embed': embed.cpu(),
'opt': checkpoint['opt'],
'epoch': checkpoint['epoch']
}
save_file = opt.load_model + '.cpu'
print('Saving to '+ save_file)
print('Saving to ' + save_file)
torch.save(checkpoint, save_file)
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