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Update thinc imports for 6.9
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spacy/_ml.py
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spacy/_ml.py
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@ -1,33 +1,28 @@
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import ujson
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import ujson
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from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu, SELU
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from thinc.i2v import HashEmbed, StaticVectors
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from thinc.t2t import ExtractWindow, ParametricAttention
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from thinc.t2v import Pooling, max_pool, mean_pool, sum_pool
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from thinc.misc import Residual
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from thinc.misc import BatchNorm as BN
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from thinc.misc import LayerNorm as LN
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from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
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from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
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from thinc.neural._classes.model import Model
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from thinc.api import FeatureExtracter, with_getitem
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from thinc.neural._classes.maxout import Maxout
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from thinc.api import uniqued, wrap, flatten_add_lengths, noop
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from thinc.neural._classes.softmax import Softmax
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from thinc.neural._classes.affine import Affine
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from thinc.linear.linear import LinearModel
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from thinc.neural._classes.hash_embed import HashEmbed
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from thinc.neural.ops import NumpyOps, CupyOps
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from thinc.neural.ops import NumpyOps, CupyOps
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from thinc.neural.util import get_array_module
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from thinc.neural.util import get_array_module
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import random
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import random
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import cytoolz
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import cytoolz
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from thinc.neural._classes.convolution import ExtractWindow
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from thinc.neural._classes.static_vectors import StaticVectors
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from thinc.neural._classes.batchnorm import BatchNorm as BN
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from thinc.neural._classes.layernorm import LayerNorm as LN
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from thinc.neural._classes.resnet import Residual
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from thinc.neural._classes.relu import ReLu
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from thinc.neural._classes.selu import SELU
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from thinc import describe
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from thinc import describe
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from thinc.describe import Dimension, Synapses, Biases, Gradient
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from thinc.describe import Dimension, Synapses, Biases, Gradient
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from thinc.neural._classes.affine import _set_dimensions_if_needed
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from thinc.neural._classes.affine import _set_dimensions_if_needed
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from thinc.api import FeatureExtracter, with_getitem
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from thinc.neural.pooling import Pooling, max_pool, mean_pool, sum_pool
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from thinc.neural._classes.attention import ParametricAttention
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from thinc.linear.linear import LinearModel
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from thinc.api import uniqued, wrap, flatten_add_lengths, noop
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import thinc.extra.load_nlp
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import thinc.extra.load_nlp
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from .attrs import ID, ORTH, LOWER, NORM, PREFIX, SUFFIX, SHAPE, TAG, DEP, CLUSTER
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from .attrs import ID, ORTH, LOWER, NORM, PREFIX, SUFFIX, SHAPE, TAG, DEP, CLUSTER
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from .tokens.doc import Doc
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from .tokens.doc import Doc
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from . import util
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from . import util
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@ -13,20 +13,18 @@ import ujson
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import msgpack
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import msgpack
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from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
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from thinc.api import add, layerize, chain, clone, concatenate, with_flatten
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from thinc.neural._classes.model import Model
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from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu, SELU
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from thinc.neural._classes.maxout import Maxout
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from thinc.i2v import HashEmbed
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from thinc.neural._classes.softmax import Softmax
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from thinc.t2v import Pooling, max_pool, mean_pool, sum_pool
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from thinc.neural._classes.affine import Affine
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from thinc.t2t import ExtractWindow, ParametricAttention
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from thinc.neural._classes.hash_embed import HashEmbed
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from thinc.misc import Residual
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from thinc.misc import BatchNorm as BN
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from thinc.misc import LayerNorm as LN
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from thinc.neural.util import to_categorical
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from thinc.neural.util import to_categorical
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from thinc.neural.pooling import Pooling, max_pool, mean_pool
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from thinc.neural._classes.difference import Siamese, CauchySimilarity
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from thinc.neural._classes.difference import Siamese, CauchySimilarity
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from thinc.neural._classes.convolution import ExtractWindow
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from thinc.neural._classes.resnet import Residual
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from thinc.neural._classes.batchnorm import BatchNorm as BN
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from .tokens.doc cimport Doc
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from .tokens.doc cimport Doc
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from .syntax.parser cimport Parser as LinearParser
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from .syntax.parser cimport Parser as LinearParser
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from .syntax.nn_parser cimport Parser as NeuralParser
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from .syntax.nn_parser cimport Parser as NeuralParser
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@ -38,13 +38,9 @@ from preshed.maps cimport MapStruct
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from preshed.maps cimport map_get
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from preshed.maps cimport map_get
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from thinc.api import layerize, chain, noop, clone, with_flatten
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from thinc.api import layerize, chain, noop, clone, with_flatten
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from thinc.neural._classes.model import Model
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from thinc.v2v import Model, Maxout, Softmax, Affine, ReLu, SELU
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from thinc.neural._classes.affine import Affine
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from thinc.misc import LayerNorm
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from thinc.neural._classes.relu import ReLu
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from thinc.neural._classes.maxout import Maxout
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from thinc.neural._classes.batchnorm import BatchNorm as BN
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from thinc.neural._classes.selu import SELU
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from thinc.neural._classes.layernorm import LayerNorm
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from thinc.neural.ops import NumpyOps, CupyOps
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from thinc.neural.ops import NumpyOps, CupyOps
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from thinc.neural.util import get_array_module
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from thinc.neural.util import get_array_module
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