CMatrixMultiplicationLayer Class

• CMatrixMultiplicationLayer Class
  • Settings
  • Trainable parameters
  • Inputs
  • Outputs

This class implements a layer that performs matrix multiplication operation for its two inputs.

It treats the first three dimensions (BatchLength * BatchWidth * ListSize) as the number of matrices, the next three (Height * Width * Depth) as the height of each and the last one (Channels) as the width of each matrix. So this layer implements a bunch of independent matrix multiplications.

Settings

This layer has no settings.

Trainable parameters

This layer has no trainable parameters.

Inputs

This layer has 2 inputs. Each of them accepts the set of matrices:

• BatchLength * BatchWidth * ListSize - the number of matrices in sets, must be equal between inputs
• Height * Width * Depth - matrix height
• Channels - matrix width; Channels of the first input must be equal to Height * Width * Depth of the second input

Outputs

Single output returns the blob with multiplication results, of the dimensions:

• BatchLength, BatchWidth, ListSize, Height, Width, Depth are equal to these dimensions of the first input
• Channels is equal to the Channels of the second input.