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Source/Target length distinction #1
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Removed parameter -seq_length New parameters -src_seq_length and -tgt_seq_length
As in the LUA OpenNMT
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Fix unintended float type for num_block in SRU.py
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Fix 'whitespace-only translation handling'
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Fix 'whitespace-only translation handling'
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minor changes to make code simpler/more explicit
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Preprocess parameters
Removed parameter
-seq_length
New parameters
-src_seq_length
and-tgt_seq_length
Training speed token/s
In both LUA/PyTorch OpenNMT, the training process prints a speed, in token/sec, but:
This can lead to important differences, especially when src/tgt sequence length are different (e.g. summarization), and therefore lead to false conclusion about performances.
See also: pytoch/example/issue#75