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My env Py 3.6, thinc 6.11.0 caused IndexError for training universal dependency with -v parameters.
However, thinc 6.10 works fine. Please review my log. Thanks
python -m spacy train vi output/ json_format2/vi-ud-train.json json_format2/vi-ud-dev.json -v vi_core_news_md -V 0.0.1 -P -N
Counting training words (limit=None
20285
dropout_from = 0.2 by default
dropout_to = 0.2 by default
dropout_decay = 0.0 by default
batch_from = 1000 by default
batch_to = 1000 by default
batch_compound = 1.001 by default
learn_rate = 0.001 by default
optimizer_B1 = 0.9 by default
optimizer_B2 = 0.999 by default
optimizer_eps = 1e-08 by default
L2_penalty = 1e-06 by default
grad_norm_clip = 1.0 by default
embed_size = 7000 by default
token_vector_width = 128 by default
Itn. P.Loss N.Loss UAS NER P. NER R. NER F. Tag % Token %
Saving model...
Traceback (most recent call last):
File "/Users/trungtv/anaconda3/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/Users/trungtv/anaconda3/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/Users/trungtv/dev/spaCy/spacy/__main__.py", line 34, in <module>
plac.call(commands[command], sys.argv[1:])
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/plac_core.py", line 328, in call
cmd, result = parser.consume(arglist)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/plac_core.py", line 207, in consume
return cmd, self.func(*(args + varargs + extraopts), **kwargs)
File "/Users/trungtv/dev/spaCy/spacy/cli/train.py", line 132, in train
drop=next(dropout_rates), losses=losses)
File "/Users/trungtv/dev/spaCy/spacy/language.py", line 419, in update
proc.update(docs, golds, drop=drop, sgd=get_grads, losses=losses)
File "pipeline.pyx", line 486, in spacy.pipeline.Tagger.update
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 61, in begin_update
X, inc_layer_grad = layer.begin_update(X, drop=drop)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 280, in begin_update
drop=drop)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 61, in begin_update
X, inc_layer_grad = layer.begin_update(X, drop=drop)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 377, in uniqued_fwd
Y_uniq, bp_Y_uniq = layer.begin_update(X_uniq, drop=drop)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 61, in begin_update
X, inc_layer_grad = layer.begin_update(X, drop=drop)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in begin_update
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in <listcomp>
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 258, in wrap
output = func(*args, **kwargs)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in begin_update
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in <listcomp>
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 258, in wrap
output = func(*args, **kwargs)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in begin_update
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in <listcomp>
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 258, in wrap
output = func(*args, **kwargs)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in begin_update
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 176, in <listcomp>
values = [fwd(X, *a, **k) for fwd in forward]
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/api.py", line 258, in wrap
output = func(*args, **kwargs)
File "/Users/trungtv/anaconda3/lib/python3.6/site-packages/thinc/neural/_classes/static_vectors.py", line 58, in begin_update
vectors = vector_table[ids * (ids < vector_table.shape[0])]
IndexError: arrays used as indices must be of integer (or boolean) type
The text was updated successfully, but these errors were encountered:
The 6.11.0 release was broken, but we're still struggling with Windows support, so aren't ready to release a new version. I've deleted 6.11.0 in the meantime.
My env Py 3.6, thinc 6.11.0 caused IndexError for training universal dependency with -v parameters.
However, thinc 6.10 works fine. Please review my log. Thanks
The text was updated successfully, but these errors were encountered: