dacapo.experiments.architectures.dummy_architecture

Classes

DummyArchitecture

A class used to represent a dummy architecture layer for a 3D CNN.

Module Contents

class dacapo.experiments.architectures.dummy_architecture.DummyArchitecture(architecture_config)

A class used to represent a dummy architecture layer for a 3D CNN.

channels_in

An integer representing the number of input channels.

channels_out

An integer representing the number of output channels.

conv

A 3D convolution object.

input_shape

A coordinate object representing the shape of the input.

forward(x)

Performs the forward pass of the network.

num_in_channels()

Returns the number of input channels for this architecture.

num_out_channels()

Returns the number of output channels for this architecture.

Note

This class is used to represent a dummy architecture layer for a 3D CNN.

channels_in

channels_out

conv

property input_shape

Returns the input shape for this architecture.

Returns:

Input shape of the architecture.

Return type:

Coordinate

Raises:

NotImplementedError – This method is not implemented in this class.

Examples

>>> dummy_architecture.input_shape
Coordinate(x=40, y=20, z=20)

Note

This method is used to return the input shape for this architecture.

property num_in_channels

Returns the number of input channels for this architecture.

Returns:

Number of input channels.

Return type:

int

Raises:

NotImplementedError – This method is not implemented in this class.

Examples

>>> dummy_architecture.num_in_channels
1

Note

This method is used to return the number of input channels for this architecture.

property num_out_channels

Returns the number of output channels for this architecture.

Returns:

Number of output channels.

Return type:

int

Raises:

NotImplementedError – This method is not implemented in this class.

Examples

>>> dummy_architecture.num_out_channels
1

Note

This method is used to return the number of output channels for this architecture.

forward(x)

Perform the forward pass of the network.

Parameters:

x – Input tensor.

Returns:

Output tensor after the forward pass.

Return type:

Tensor

Raises:

NotImplementedError – This method is not implemented in this class.

Examples

>>> dummy_architecture = DummyArchitecture(architecture_config)
>>> x = torch.randn(1, 1, 40, 20, 20)
>>> dummy_architecture.forward(x)

Note

This method is used to perform the forward pass of the network.