CDepthToSpaceLayer Class

• CDepthToSpaceLayer Class
  • Settings
    • Block size
  • Trainable parameters
  • Inputs
  • Outputs

This class implements a layer that transforms each pixel (1 x 1 x Ch) of 2-dimensional images into square blocks of size k x k x Ch/(k*k). The elements of pixel are interpreted as an image of size k x k x Ch/(k*k) in channel-last ordering. As a result H x W x Ch image is transformed into H*k x W*k x Ch/(k*k) image.

This operation is the inverse function of CSpaceToDepthLayer.

Settings

Block size

void SetBlockSize( int blockSize );

Sets the size of the squares (k from the layer descrition). The image channels should be a multiple of the square of this value. The value should be greater than 1.

Trainable parameters

The layer has no trainable parameters.

Inputs

The single input accepts a blob with the images, of the dimensions:

• BatchLength * BatchWidth * ListSize is equal to the number of images
• Height is the image height
• Width is the image width
• Depth is equal to 1
• Channels is the number of channels in the image format; should be a multiple of GetBlockSize() * GetBlockSize()

Outputs

The single output contains a blob with the resulting images, of the dimensions:

• BatchLength is equal to the input BatchLength
• BatchWidth is equal to the input BatchWidth
• ListSize is equal to the input ListSize
• Height is equal to the input Height * GetBlockSize()
• Width is equal to the input Width * GetBlockSize()
• Depth is equal to 1
• Channels is equal to the input Channels / ( GetBlockSize() * GetBlockSize() ).