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sherjilozair / char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
MIT License
2.64k stars 964 forks source link

Use tmp directory for CI build save/log dirs #93

Closed ubergarm closed 7 years ago

ubergarm commented 7 years ago

There is a random segfault in Travis even if the command generates valid output. So test that output looks good, not if the command exits cleanly.

Revisit this later as it may lead to tests passing when they shouldn't.

Also adds build status shield to README

ubergarm commented 7 years ago

@hugovk any thoughts on this? It's a bit hacky, but will still properly fail if saved models generated in training don't load properly into the 2nd training or the sample stage.

coveralls commented 7 years ago

Coverage Status

Coverage remained the same at 92.72% when pulling 43627c340e2009ce1242c703de00c31ca1ebde52 on ubergarm:master into ed54f4cd27cbbe373801a0b05a20396855a730ad on sherjilozair:master.

coveralls commented 7 years ago

Coverage Status

Coverage remained the same at 92.72% when pulling 43627c340e2009ce1242c703de00c31ca1ebde52 on ubergarm:master into ed54f4cd27cbbe373801a0b05a20396855a730ad on sherjilozair:master.

coveralls commented 7 years ago

Coverage Status

Coverage remained the same at 92.72% when pulling 43627c340e2009ce1242c703de00c31ca1ebde52 on ubergarm:master into ed54f4cd27cbbe373801a0b05a20396855a730ad on sherjilozair:master.