deepy.layers.Concatenate.__init__() - Code Metrics - Inspection of "big refactoring for building abitrary computation..." - uaca/deepy - Measure and Improve Code Quality continuously with Scrutinizer

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by Raphael

created 2015-12-14 06:17 UTC

deepy.layers.Concatenate.init() A

↳ Parent: deepy.layers.Concatenate

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Metric	Value
cc	2
dl	0
loc	9
rs	9.6667

import theano.tensor as T
from . import NeuralLayer


class Concatenate(NeuralLayer):
    """
    Concatenate two tensors.
    They should have identical dimensions except the last one.
    """

    def __init__(self, axis=2):
        """
        :type layer1: NeuralLayer
        :type layer2: NeuralLayer
        """
        super(Concatenate, self).__init__("concate")
        self.axis = axis
        if axis < 0:
            raise Exception("There are some bugs in T.concatenate, that axis can not lower than 0")

    def prepare(self):
        self.output_dim = sum(self.input_dims)

    def output(self, *xs):
        return T.concatenate(xs, axis=self.axis)

    def test_output(self, *xs):
        return T.concatenate(xs, axis=self.axis)


1			import theano.tensor as T
2			from . import NeuralLayer
3
4
5			class Concatenate(NeuralLayer):
6			"""
7			Concatenate two tensors.
8			They should have identical dimensions except the last one.
9			"""
10
11			def __init__(self, axis=2):
12			"""
13			:type layer1: NeuralLayer
14			:type layer2: NeuralLayer
15			"""
16			super(Concatenate, self).__init__("concate")
17			self.axis = axis
18			if axis < 0:
19			raise Exception("There are some bugs in T.concatenate, that axis can not lower than 0")
20
21			def prepare(self):
22			self.output_dim = sum(self.input_dims)
23
24			def output(self, *xs):
25			return T.concatenate(xs, axis=self.axis)
26
27			def test_output(self, *xs):
28			return T.concatenate(xs, axis=self.axis)
29

uaca / deepy

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deepy.layers.Concatenate.__init__() A

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