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return custom error in nlp.initialize (#7104)

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* return custom error in nlp.initialize

* Rename error

Co-authored-by: Ines Montani <ines@ines.io>
This commit is contained in:
Sofie Van Landeghem 2021-03-09 13:01:31 +01:00 committed by GitHub
parent 3f3e8110dc
commit 39de3602e0
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GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 10 additions and 3 deletions
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4
spacy/errors.py
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@ -497,6 +497,10 @@ class Errors:
E880 = ("The 'wandb' library could not be found - did you install it? " E880 = ("The 'wandb' library could not be found - did you install it? "
"Alternatively, specify the 'ConsoleLogger' in the 'training.logger' " "Alternatively, specify the 'ConsoleLogger' in the 'training.logger' "
"config section, instead of the 'WandbLogger'.") "config section, instead of the 'WandbLogger'.")
E884 = ("The pipeline could not be initialized because the vectors "
"could not be found at '{vectors}'. If your pipeline was already "
"initialized/trained before, call 'resume_training' instead of 'initialize', "
"or initialize only the components that are new.")
E885 = ("entity_linker.set_kb received an invalid 'kb_loader' argument: expected " E885 = ("entity_linker.set_kb received an invalid 'kb_loader' argument: expected "
"a callable function, but got: {arg_type}") "a callable function, but got: {arg_type}")
E886 = ("Can't replace {name} -> {tok2vec} listeners: path '{path}' not " E886 = ("Can't replace {name} -> {tok2vec} listeners: path '{path}' not "

3
spacy/language.py
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@ -1219,9 +1219,12 @@ class Language:
before_init = I["before_init"] before_init = I["before_init"]
if before_init is not None: if before_init is not None:
before_init(self) before_init(self)
try:
init_vocab( init_vocab(
self, data=I["vocab_data"], lookups=I["lookups"], vectors=I["vectors"] self, data=I["vocab_data"], lookups=I["lookups"], vectors=I["vectors"]
) )
except IOError:
raise IOError(Errors.E884.format(vectors=I["vectors"]))
if self.vocab.vectors.data.shape[1] >= 1: if self.vocab.vectors.data.shape[1] >= 1:
ops = get_current_ops() ops = get_current_ops()
self.vocab.vectors.data = ops.asarray(self.vocab.vectors.data) self.vocab.vectors.data = ops.asarray(self.vocab.vectors.data)