SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

[s2s] remove double assert (#7223)

Browse Source
This commit is contained in:
Sam Shleifer
2020-09-17 18:32:31 -04:00
committed by GitHub
parent edbaad2c5c
commit 67d9fc50d9
1 changed files with 0 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
examples/seq2seq/finetune.py
View File

@@ -102,11 +102,6 @@ class SummarizationModule(BaseTransformer):
} }
assert self.target_lens["train"] <= self.target_lens["val"], f"target_lens: {self.target_lens}" assert self.target_lens["train"] <= self.target_lens["val"], f"target_lens: {self.target_lens}"
assert self.target_lens["train"] <= self.target_lens["test"], f"target_lens: {self.target_lens}" assert self.target_lens["train"] <= self.target_lens["test"], f"target_lens: {self.target_lens}"
if self.hparams.sortish_sampler and self.hparams.gpus > 1:
raise AssertionError("Sortish Sampler does not work for multigpu")
if self.hparams.sortish_sampler and self.hparams.max_tokens_per_batch is not None:
raise AssertionError("max tokens per batch and sortish sampler are incompatible.")
if self.hparams.freeze_embeds: if self.hparams.freeze_embeds:
self.freeze_embeds() self.freeze_embeds()
if self.hparams.freeze_encoder: if self.hparams.freeze_encoder: