Pickling of PhraseMatcher not yet resolved in 2.1.3

[kushalc]

https://github.com/explosion/spaCy/issues/1971 and https://github.com/explosion/spaCy/issues/3248 show that pickling works, but I'm still able to repro issues in 2.1.3.

Minimal Reproducible Example

Building off #3252 unit test:

from spacy.matcher import PhraseMatcher
from spacy.lang.en import English
from spacy.compat import pickle
nlp = English()

matcher = PhraseMatcher(nlp.vocab)
matcher.add("TEST1", None, nlp("a"), nlp("b"), nlp("c"))
matcher.add("TEST2", None, nlp("d"))
data = pickle.dump(matcher, open("matcher.pickle", "wb"))
new_matcher = pickle.load(open("matcher.pickle", "rb"))
print(new_matcher(nlp("a b c")))  # prints [(9789093191506324669, 0, 1), (9789093191506324669, 1, 2), (9789093191506324669, 2, 3)]
print(matcher(nlp("a b c")))  # prints [(9789093191506324669, 0, 1), (9789093191506324669, 1, 2), (9789093191506324669, 2, 3)]

(re-start Python)

from spacy.lang.en import English
from spacy.compat import pickle
nlp = English()
new_matcher = pickle.load(open("matcher.pickle", "rb"))
new_matcher(nlp("a b c"))  # prints []

Info about spaCy

• spaCy version: 2.1.3
• Platform: Darwin-18.2.0-x86_64-i386-64bit
• Python version: 3.7.2
• Models: en

[svlandeg]

I can reproduce your error with the code above. However, I don't think it's a Matcher pickling issue. If you would keep the same nlp object rather than constructing a new one, you wouldn't run into this, right?

[kushalc]

Is there a recommended best practice for pickling nlp/Matcher between different processes? The fundamental use case we have to solve is serialization across different machines so we can't simply re-use the same nlp instance.

Kushal

On Thu, Jul 11, 2019 at 8:34 AM Sofie Van Landeghem < notifications@github.com> wrote:

I can reproduce your error with the code above. However, I don't think it's a Matcher pickling issue. If you would keep the same nlp object rather than constructing a new one, you wouldn't run into this, right?

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[svlandeg]

Is it an option to serialize the nlp object (https://spacy.io/usage/saving-loading) ?

nlp1.to_disk("mynlp")
nlp2 = spacy.load("mynlp")

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