deepy.layers.NeuralVariable.__init__() - Code Metrics - Inspection of "Add neural tensor" - zomux/deepy - Measure and Improve Code Quality continuously with Scrutinizer

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Push — master ( 0a4690...96c2cd )

by Raphael

created 2016-02-04 08:04 UTC

deepy.layers.NeuralVariable.init() A

↳ Parent: deepy.layers.NeuralVariable

Complexity

Conditions

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Total Lines

Duplication

Lines	0
Ratio	0 %

Metric	Value
cc	2
dl	0
loc	9
rs	9.6666

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from layer import NeuralLayer
from deepy.utils.decorations import neural_computation


class NeuralVariable(NeuralLayer):
    """
    Create a constant layer with tensors.
    """

    def __init__(self, tensor, test_tensor=None, dim=0):
        """
        Create a tensor layer.
        """
        super(NeuralVariable, self).__init__("const")
        self.output_dim = dim
        self.tensor = tensor
        self.test_tensor = tensor if not test_tensor else test_tensor
        self.initialize(0)

    def __getitem__(self, index):
        @neural_computation
        def getitem_wrapper(t, index):
            return t[index]
        return getitem_wrapper(self, index)

    def apply(self, func, dim=None):
        """
        Apply a function to tensors.
        """
        output_dim = dim if dim else self.output_dim
        return NeuralVariable(func(self.tensor), func(self.test_tensor), output_dim)

    def compute_tensor(self, x):
        return self.tensor

    def compute_test_tesnor(self, x):
        return self.test_tensor

    def set_test_value(self, value):
        self.tensor.tag.test_value = value

    def dim(self):
        return self.output_dim

    def shape(self, dim_index):
        return self.tensor.shape[dim_index]


1			#!/usr/bin/env python
2			# -- coding: utf-8 --
3
4			from layer import NeuralLayer
5			from deepy.utils.decorations import neural_computation
6
7
8			class NeuralVariable(NeuralLayer):
9			"""
10			Create a constant layer with tensors.
11			"""
12
13			def __init__(self, tensor, test_tensor=None, dim=0):
14			"""
15			Create a tensor layer.
16			"""
17			super(NeuralVariable, self).__init__("const")
18			self.output_dim = dim
19			self.tensor = tensor
20			self.test_tensor = tensor if not test_tensor else test_tensor
21			self.initialize(0)
22
23			def __getitem__(self, index):
24			@neural_computation
25			def getitem_wrapper(t, index):
26			return t[index]
27			return getitem_wrapper(self, index)
28
29			def apply(self, func, dim=None):
30			"""
31			Apply a function to tensors.
32			"""
33			output_dim = dim if dim else self.output_dim
34			return NeuralVariable(func(self.tensor), func(self.test_tensor), output_dim)
35
36			def compute_tensor(self, x):
37			return self.tensor
38
39			def compute_test_tesnor(self, x):
40			return self.test_tensor
41
42			def set_test_value(self, value):
43			self.tensor.tag.test_value = value
44
45			def dim(self):
46			return self.output_dim
47
48			def shape(self, dim_index):
49			return self.tensor.shape[dim_index]
50

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