Systems and Processes for Data Reshape and Transport Using Matrix Processor Circuits

A system for implementing a data reshape operation on tensor data in a neural network layer, the method comprising:

• an input buffer for loading the tensor data;
• a plurality of matrix processors communicatively coupled to the input buffer, the plurality of matrix processors comprising a plurality of rows and columns of matrix processing units, the plurality of matrix processors each having a weight of either one or zero assigned such that the transmission of the tensor data through the plurality of matrix processors effects a matrix multiplication operation on the values received from the input buffer;
• and
• a results buffer communicatively coupled to the plurality of matrix processors by a results bus, the results buffer configured for outputting a first set of results of the matrix multiplication operation.

A system for implementing a data operation on tensor data in a neural network layer, the method comprising:

• a digital processing circuit comprising a plurality of matrix processing units arranged into a matrix processor array, the matrix processor array comprising a plurality of rows and columns of the matrix processing units, each of the matrix processing units comprising:
• a first operand bus for receiving a first operand vector, the first operand vector comprising a plurality of operands, the first operand bus being a plurality of operands wide;
• and
• a first result bus for outputting a result vector, the result vector comprising a plurality of result values, the first result bus being a plurality of result values wide;
• an input buffer for loading the tensor data, the input buffer communicatively coupled to the digital processing circuit;
• and
• a results buffer communicatively coupled to the plurality of matrix processors by a results bus, the results buffer configured for outputting a first set of results of the matrix multiplication operation.