Import thinc modules more explicitly, to avoid cycles

This commit is contained in:
Matthew Honnibal 2017-10-03 18:39:57 +02:00
parent 338e1fda0e
commit e514d6aa0a

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@ -1,10 +1,12 @@
import ujson
from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
from thinc.neural import Model, Maxout, Softmax, Affine
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.neural.ops import NumpyOps, CupyOps
from thinc.neural.util import get_array_module
import thinc.extra.load_nlp
import random
import cytoolz
@ -13,7 +15,7 @@ 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 import ReLu
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
@ -23,6 +25,7 @@ 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