forward method in PyTorch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define the forward method input parameter.

PyTorch

def forward(self, [1]):
    return x * 2

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Ainput

Bself

Coutput

Dx

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'self' as the input parameter instead of 'x'.

Using 'output' or 'input' which are not standard names here.

The forward method takes the input tensor as a parameter, commonly named x.

2fill in blank

medium

Complete the code to apply a linear layer inside the forward method.

PyTorch

def forward(self, x):
    out = self.[1](x)
    return out

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Alinear

Brelu

Cconv

Ddropout

Attempts:

3 left

💡 Hint

Common Mistakes

Using activation functions like 'relu' instead of the layer.

Using 'conv' or 'dropout' which are different layer types.

The linear layer is applied by calling self.linear(x) inside the forward method.

3fill in blank

hard

Fix the error in the forward method to correctly apply ReLU activation.

PyTorch

def forward(self, x):
    out = self.linear(x)
    out = [1](out)
    return out

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Ann.ReLU

Brelu

Cself.relu

DReLU

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'relu(out)' without 'self.' causes a NameError.

Using the class name 'nn.ReLU' without instantiation.

The ReLU activation is applied as self.relu(out) if self.relu is defined in __init__.

4fill in blank

hard

Fill both blanks to complete the forward method with two layers and activation.

PyTorch

def forward(self, x):
    out = self.[1](x)
    out = self.[2](out)
    return out

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Alinear1

Blinear2

Crelu

Ddropout

Attempts:

3 left

💡 Hint

Common Mistakes

Using linear2 first instead of linear1.

Using dropout instead of activation.

The input is passed through linear1 then activated by relu.

5fill in blank

hard

Fill all three blanks to complete the forward method with two linear layers and activation.

PyTorch

def forward(self, x):
    out = self.[1](x)
    out = self.[2](out)
    out = self.[3](out)
    return out

Drag options to blanks, or click blank then click option'

Alinear1

Brelu

Clinear2

Ddropout

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing the order of layers and activation.

Using dropout instead of linear2.

The input goes through linear1, then relu activation, then linear2 layer.