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42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import warnings
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warnings.filterwarnings("ignore", message="numpy.dtype size changed")
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warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
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# These are imported as part of the API
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from thinc.neural.util import prefer_gpu
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from .cli.info import info as cli_info
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from .glossary import explain
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from .about import __version__
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from .errors import Warnings, deprecation_warning
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from . import util
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def load(name, **overrides):
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depr_path = overrides.get('path')
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if depr_path not in (True, False, None):
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deprecation_warning(Warnings.W001.format(path=depr_path))
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return util.load_model(name, **overrides)
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def blank(name, **kwargs):
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LangClass = util.get_lang_class(name)
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return LangClass(**kwargs)
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def info(model=None, markdown=False, silent=False):
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return cli_info(model, markdown, silent)
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def require_gpu():
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from thinc.v2v import Model
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from thinc.neural.ops import CupyOps
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if CupyOps.xp is None:
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raise ValueError(
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"GPU is not accessible. Check your LD_LIBRARY_PATH enironment variable "
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"and check that thinc was installed with GPU, e.g. thinc[cuda]")
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Model.Ops = CupyOps
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Model.ops = CupyOps()
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return True
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