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AttributeError: '' object has no attribute ''
Santhosh198915
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#1
Oct-19-2018, 08:33 AM (This post was last modified: Oct-19-2018, 08:34 AM by Santhosh198915.)
I have no idea how to resolve this issue, please help
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#[Convolution] -> [Batch Normalization] -> [ReLU]
def Conv_block2d(in_channels,out_channels,*args,**kwargs):
    return nn.Sequential(nn.Conv2d(in_channels,out_channels,*args,**kwargs,bias=False),nn.BatchNorm2d(out_channels,eps=0.001),nn.ReLU(inplace=True))
 
class MainBlock(nn.Module):
    """docstring for MainBlock"nn.Module"""
    def __init__(self):
        super(MainBlock,self).__init__()
 
        self.pool_2x2 = nn.MaxPool2d(2,2)
 
        """
        size = [3,18,36,7,5]
        for in_c,out_c,k in zip(size[:2],size[1:3],size[3:]):
            print("in channel",in_c,"out channel",out_c,"kernel size",k)
             
        in channel 3 out channel 18 kernel size 7
        (256x256x3) * (7x7x18) = (250x250x18))*(2x2x1) = (125x125x18)
        in channel 18 out channel 36 kernel size 5
        (125x125x18 * (5x5x36) = (125x125x36))*(2x2x1) = (60x60x36)
        """
        self.block1_size = [3,18,36,7,5]
        block1_out = [self.pool_2x2(Conv_block2d(in_c,out_c,kernel_size=k)) for in_c,out_c,k in zip(self.block1_out[:2],self.block1_out[1:3],self.block1_out[3:])]
        self.block1_output = nn.Sequential(*block1_out)
 
def forward(self,x):
 
        #Block 1 output (60x60x36)
        x = self.block1_output(x)  
                return x
I'm getting this error
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Traceback (most recent call last):
  File "simpletest.py", line 170, in <module>
    net = MainBlock().cuda()
  File "simpletest.py", line 83, in __init__
    self.block1_out = [self.pool_2x2(Conv_block2d(in_c,out_c,kernel_size=k)) for in_c,out_c,k in zip(self.block1_out[:2],self.block1_out[1:3],self.block1_out[3:])]
  File "/home/ffffff/.virtualenvs/LearnPytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 518, in __getattr__
    type(self).__name__, name))
AttributeError: 'MainBlock' object has no attribute 'block1_out'
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volcano63
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Posts: 566
Threads: 10
Joined: Apr 2017
Reputation: 26
#2
Oct-19-2018, 08:44 AM (This post was last modified: Oct-19-2018, 08:44 AM by volcano63.)
Indentation of lines 26 and 30 are wrong.
Test everything in a Python shell (iPython, Azure Notebook, etc.)
  • Someone gave you an advice you liked? Test it - maybe the advice was actually bad.
  • Someone gave you an advice you think is bad? Test it before arguing - maybe it was good.
  • You posted a claim that something you did not test works? Be prepared to eat your hat.
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Santhosh198915
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Posts: 4
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Joined: Oct 2018
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#3
Oct-19-2018, 08:59 AM
(Oct-19-2018, 08:44 AM)volcano63 Wrote: Indentation of lines 26 and 30 are wrong.

Even with proper Indentation i am getting the same error
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volcano63
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Posts: 566
Threads: 10
Joined: Apr 2017
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#4
Oct-19-2018, 09:11 AM
(Oct-19-2018, 08:59 AM)Santhosh198915 Wrote:
(Oct-19-2018, 08:44 AM)volcano63 Wrote: Indentation of lines 26 and 30 are wrong.

Even with proper Indentation i am getting the same error

Line 23 - could you guess what you missed there?
Test everything in a Python shell (iPython, Azure Notebook, etc.)
  • Someone gave you an advice you liked? Test it - maybe the advice was actually bad.
  • Someone gave you an advice you think is bad? Test it before arguing - maybe it was good.
  • You posted a claim that something you did not test works? Be prepared to eat your hat.
Find
Reply
Santhosh198915
Unladen Swallow
Posts: 4
Threads: 1
Joined: Oct 2018
Reputation: 0
#5
Oct-19-2018, 10:12 AM
(Oct-19-2018, 08:33 AM)Santhosh198915 Wrote: I have no idea how to resolve this issue, please help
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#[Convolution] -> [Batch Normalization] -> [ReLU]
def Conv_block2d(in_channels,out_channels,*args,**kwargs):
    return nn.Sequential(nn.Conv2d(in_channels,out_channels,*args,**kwargs,bias=False),nn.BatchNorm2d(out_channels,eps=0.001),nn.ReLU(inplace=True))
 
class MainBlock(nn.Module):
    """docstring for MainBlock"nn.Module"""
    def __init__(self):
        super(MainBlock,self).__init__()
 
        self.pool_2x2 = nn.MaxPool2d(2,2)
 
        """
        size = [3,18,36,7,5]
        for in_c,out_c,k in zip(size[:2],size[1:3],size[3:]):
            print("in channel",in_c,"out channel",out_c,"kernel size",k)
             
        in channel 3 out channel 18 kernel size 7
        (256x256x3) * (7x7x18) = (250x250x18))*(2x2x1) = (125x125x18)
        in channel 18 out channel 36 kernel size 5
        (125x125x18 * (5x5x36) = (125x125x36))*(2x2x1) = (60x60x36)
        """
        self.block1_size = [3,18,36,7,5]
        block1_out = [self.pool_2x2(Conv_block2d(in_c,out_c,kernel_size=k)) for in_c,out_c,k in zip(self.block1_out[:2],self.block1_out[1:3],self.block1_out[3:])]
        self.block1_output = nn.Sequential(*block1_out)
 
def forward(self,x):
 
        #Block 1 output (60x60x36)
        x = self.block1_output(x)  
                return x
I'm getting this error
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Traceback (most recent call last):
  File "simpletest.py", line 170, in <module>
    net = MainBlock().cuda()
  File "simpletest.py", line 83, in __init__
    self.block1_out = [self.pool_2x2(Conv_block2d(in_c,out_c,kernel_size=k)) for in_c,out_c,k in zip(self.block1_out[:2],self.block1_out[1:3],self.block1_out[3:])]
  File "/home/ffffff/.virtualenvs/LearnPytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 518, in __getattr__
    type(self).__name__, name))
AttributeError: 'MainBlock' object has no attribute 'block1_out'

(Oct-19-2018, 09:11 AM)volcano63 Wrote:
(Oct-19-2018, 08:59 AM)Santhosh198915 Wrote: Even with proper Indentation i am getting the same error

Line 23 - could you guess what you missed there?

Built this using this soruce https://towardsdatascience.com/pytorch-h...54597b5f17
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volcano63
Verb Conjugator
Posts: 566
Threads: 10
Joined: Apr 2017
Reputation: 26
#6
Oct-19-2018, 10:25 AM
(Oct-19-2018, 10:12 AM)Santhosh198915 Wrote: Built this using this soruce https://towardsdatascience.com/pytorch-h...54597b5f17

Python-wise - not a very good coding style, and you copy-pasted the bug in their code. I repeat - line 23. Try to analyze
Test everything in a Python shell (iPython, Azure Notebook, etc.)
  • Someone gave you an advice you liked? Test it - maybe the advice was actually bad.
  • Someone gave you an advice you think is bad? Test it before arguing - maybe it was good.
  • You posted a claim that something you did not test works? Be prepared to eat your hat.
Find
Reply
Santhosh198915
Unladen Swallow
Posts: 4
Threads: 1
Joined: Oct 2018
Reputation: 0
#7
Oct-19-2018, 10:33 AM
it should have been block1_size inside zip instead to block1_out
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