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Release 0.1.6 #137

Merged
merged 25 commits into from
May 4, 2018
Merged

Release 0.1.6 #137

merged 25 commits into from
May 4, 2018

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kylegao91
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kylegao91 and others added 25 commits September 27, 2017 21:51
* Fixed topk decoder.
* Use torchtext from pipe.

* Fixed torch text sorting order.
…90)

* attention is not required when only using teacher forcing in decoder
Fixed field arguments validation.
* 0.1.5 (#91)

* Modified parameter order of DecoderRNN.forward (#85)

* Updated TopKDecoder (#86)

* Fixed topk decoder.

* Use torchtext from pipy (#87)

* Use torchtext from pipe.

* Fixed torch text sorting order.

* attention is not required when only using teacher forcing in decoder (#90)

* attention is not required when only using teacher forcing in decoder

* Updated docs and version.

* Fixed code style.

* shuffle the training data
* fix example of inflate function in TopKDecoer.py
* Fix hidden_layer size for one-directional decoder

Hidden layer size of the decoder was given `hidden_size * 2 if bidirectional else 1`, resulting in a dimensionality error for non-bidirectional decoders.
Changed `1` to `hidden_size`.
* Adapt load to allow CPU loading of GPU models

Add storage parameter to torch.load to allow loading
models on a CPU that are trained on the GPU, depending
on availability of cuda.
* Fix wrong parameter use on DecoderRNN
# Conflicts:
#	seq2seq/models/TopKDecoder.py
#	seq2seq/trainer/supervised_trainer.py
* Upgrade to pytorch-0.3.0

* Use pytorch 3.0 in travis env.
…eturns several seqs for a given seq (#116)

* Adding a predictor method to return n predicted seqs for a src_seq input
(intended to be used along to Beam Search using TopKDecoder)
* add contiguous call to tensor (#127)

when attention is turned off, pytorch (well, 0.4 at least) gets angry about calling view on a non-contiguous tensor

* Fixed shape documentation (#131)

* Update to pytorch-0.4

* Remove pytorch manual install in travis.
@kylegao91 kylegao91 merged commit fede876 into master May 4, 2018
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9 participants