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Bugfix linking vectors (#5196)
* restore call to _load_vectors * bump to thinc 8.0.0a3 * bump to 3.0.0.dev4
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@ -6,7 +6,7 @@ requires = [
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"cymem>=2.0.2,<2.1.0",
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"cymem>=2.0.2,<2.1.0",
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"preshed>=3.0.2,<3.1.0",
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"preshed>=3.0.2,<3.1.0",
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"murmurhash>=0.28.0,<1.1.0",
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"murmurhash>=0.28.0,<1.1.0",
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"thinc==8.0.0a1",
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"thinc==8.0.0a3",
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"blis>=0.4.0,<0.5.0"
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"blis>=0.4.0,<0.5.0"
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]
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]
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build-backend = "setuptools.build_meta"
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build-backend = "setuptools.build_meta"
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@ -1,7 +1,7 @@
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# Our libraries
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# Our libraries
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cymem>=2.0.2,<2.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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preshed>=3.0.2,<3.1.0
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thinc==8.0.0a1
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thinc==8.0.0a3
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blis>=0.4.0,<0.5.0
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blis>=0.4.0,<0.5.0
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ml_datasets>=0.1.1
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ml_datasets>=0.1.1
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murmurhash>=0.28.0,<1.1.0
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murmurhash>=0.28.0,<1.1.0
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@ -36,13 +36,13 @@ setup_requires =
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cymem>=2.0.2,<2.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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preshed>=3.0.2,<3.1.0
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murmurhash>=0.28.0,<1.1.0
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murmurhash>=0.28.0,<1.1.0
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thinc==8.0.0a1
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thinc==8.0.0a3
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install_requires =
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install_requires =
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# Our libraries
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# Our libraries
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murmurhash>=0.28.0,<1.1.0
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murmurhash>=0.28.0,<1.1.0
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cymem>=2.0.2,<2.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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preshed>=3.0.2,<3.1.0
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thinc==8.0.0a1
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thinc==8.0.0a3
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blis>=0.4.0,<0.5.0
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blis>=0.4.0,<0.5.0
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wasabi>=0.4.0,<1.1.0
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wasabi>=0.4.0,<1.1.0
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srsly>=2.0.0,<3.0.0
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srsly>=2.0.0,<3.0.0
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@ -1,6 +1,6 @@
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# fmt: off
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# fmt: off
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__title__ = "spacy"
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__title__ = "spacy"
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__version__ = "3.0.0.dev3"
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__version__ = "3.0.0.dev4"
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__release__ = True
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__release__ = True
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__download_url__ = "https://github.com/explosion/spacy-models/releases/download"
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__download_url__ = "https://github.com/explosion/spacy-models/releases/download"
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__compatibility__ = "https://raw.githubusercontent.com/explosion/spacy-models/master/compatibility.json"
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__compatibility__ = "https://raw.githubusercontent.com/explosion/spacy-models/master/compatibility.json"
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@ -143,6 +143,7 @@ def train(
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)
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)
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if vectors:
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if vectors:
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msg.text(f"Loading vectors from model '{vectors}'")
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msg.text(f"Loading vectors from model '{vectors}'")
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_load_vectors(nlp, vectors)
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nlp.disable_pipes([p for p in nlp.pipe_names if p not in pipeline])
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nlp.disable_pipes([p for p in nlp.pipe_names if p not in pipeline])
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for pipe in pipeline:
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for pipe in pipeline:
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@ -210,6 +211,7 @@ def train(
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if vectors:
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if vectors:
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msg.text(f"Loading vectors from model '{vectors}'")
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msg.text(f"Loading vectors from model '{vectors}'")
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_load_vectors(nlp, vectors)
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for pipe in pipeline:
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for pipe in pipeline:
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# first, create the model.
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# first, create the model.
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@ -250,7 +250,7 @@ class ParserModel(Model):
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nI = smaller.get_dim("nI")
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nI = smaller.get_dim("nI")
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with use_ops('numpy'):
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with use_ops('numpy'):
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larger = Linear(nO=new_nO, nI=nI)
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larger = Linear(nO=new_nO, nI=nI)
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larger._init = smaller._init
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larger.init = smaller.init
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# it could be that the model is not initialized yet, then skip this bit
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# it could be that the model is not initialized yet, then skip this bit
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if nI:
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if nI:
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larger_W = larger.ops.alloc2f(new_nO, nI)
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larger_W = larger.ops.alloc2f(new_nO, nI)
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