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Update thinc imports for 6.9

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This commit is contained in:
Matthew Honnibal 2017-10-03 20:07:17 +02:00
parent 4a59f6358c
commit 5454b20cd7
3 changed files with 24 additions and 35 deletions
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31
spacy/_ml.py
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@ -1,33 +1,28 @@
import ujson
from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu, SELU
from thinc.i2v import HashEmbed, StaticVectors
from thinc.t2t import ExtractWindow, ParametricAttention
from thinc.t2v import Pooling, max_pool, mean_pool, sum_pool
from thinc.misc import Residual
from thinc.misc import BatchNorm as BN
from thinc.misc import LayerNorm as LN
from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
from thinc.neural._classes.model import Model
from thinc.neural._classes.maxout import Maxout
from thinc.neural._classes.softmax import Softmax
from thinc.neural._classes.affine import Affine
from thinc.neural._classes.hash_embed import HashEmbed
from thinc.api import FeatureExtracter, with_getitem
from thinc.api import uniqued, wrap, flatten_add_lengths, noop
from thinc.linear.linear import LinearModel
from thinc.neural.ops import NumpyOps, CupyOps
from thinc.neural.util import get_array_module
import random
import cytoolz
from thinc.neural._classes.convolution import ExtractWindow
from thinc.neural._classes.static_vectors import StaticVectors
from thinc.neural._classes.batchnorm import BatchNorm as BN
from thinc.neural._classes.layernorm import LayerNorm as LN
from thinc.neural._classes.resnet import Residual
from thinc.neural._classes.relu import ReLu
from thinc.neural._classes.selu import SELU
from thinc import describe
from thinc.describe import Dimension, Synapses, Biases, Gradient
from thinc.neural._classes.affine import _set_dimensions_if_needed
from thinc.api import FeatureExtracter, with_getitem
from thinc.neural.pooling import Pooling, max_pool, mean_pool, sum_pool
from thinc.neural._classes.attention import ParametricAttention
from thinc.linear.linear import LinearModel
from thinc.api import uniqued, wrap, flatten_add_lengths, noop
import thinc.extra.load_nlp
from .attrs import ID, ORTH, LOWER, NORM, PREFIX, SUFFIX, SHAPE, TAG, DEP, CLUSTER
from .tokens.doc import Doc
from . import util

18
spacy/pipeline.pyx
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@ -13,20 +13,18 @@ import ujson
import msgpack
from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
from thinc.neural._classes.model import Model
from thinc.neural._classes.maxout import Maxout
from thinc.neural._classes.softmax import Softmax
from thinc.neural._classes.affine import Affine
from thinc.neural._classes.hash_embed import HashEmbed
from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu, SELU
from thinc.i2v import HashEmbed
from thinc.t2v import Pooling, max_pool, mean_pool, sum_pool
from thinc.t2t import ExtractWindow, ParametricAttention
from thinc.misc import Residual
from thinc.misc import BatchNorm as BN
from thinc.misc import LayerNorm as LN
from thinc.neural.util import to_categorical
from thinc.neural.pooling import Pooling, max_pool, mean_pool
from thinc.neural._classes.difference import Siamese, CauchySimilarity
from thinc.neural._classes.convolution import ExtractWindow
from thinc.neural._classes.resnet import Residual
from thinc.neural._classes.batchnorm import BatchNorm as BN
from .tokens.doc cimport Doc
from .syntax.parser cimport Parser as LinearParser
from .syntax.nn_parser cimport Parser as NeuralParser

10
spacy/syntax/nn_parser.pyx
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@ -38,13 +38,9 @@ from preshed.maps cimport MapStruct
from preshed.maps cimport map_get
from thinc.api import layerize, chain, noop, clone, with_flatten
from thinc.neural._classes.model import Model
from thinc.neural._classes.affine import Affine
from thinc.neural._classes.relu import ReLu
from thinc.neural._classes.maxout import Maxout
from thinc.neural._classes.batchnorm import BatchNorm as BN
from thinc.neural._classes.selu import SELU
from thinc.neural._classes.layernorm import LayerNorm
from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu, SELU
from thinc.misc import LayerNorm
from thinc.neural.ops import NumpyOps, CupyOps
from thinc.neural.util import get_array_module