Machine learning processing using flexible bit truncation

A computer program product embodied in a non-transitory computer readable medium for machine learning processing, the computer program product comprising code which causes one or more processors to perform operations of:

• accessing a machine learning network, wherein the machine learning network includes one or more processing layers, and wherein at least one of the one or more processing layers is sourced with flexible bit truncation storage hardware;
• determining a flexible bit truncation setting for the at least one of the one or more processing layers, wherein the determining is based on an application to be executed on the machine learning network;
• programming the flexible bit truncation setting in the flexible bit truncation storage hardware of the at least one of the one or more processing layers;
• and
• executing the application, using the flexible bit truncation setting.

A computer system for machine learning processing comprising:

• a memory which stores instructions;
• one or more processors coupled to the memory, wherein the one or more processors, when executing the instructions which are stored, are configured to:
• access a machine learning network, wherein the machine learning network includes one or more processing layers, and wherein at least one of the one or more processing layers is sourced with flexible bit truncation storage hardware;
• determine a flexible bit truncation setting for the at least one of the one or more processing layers, wherein the determining is based on an application to be executed on the machine learning network;
• program the flexible bit truncation setting in the flexible bit truncation storage hardware of the at least one of the one or more processing layers;
• and
• execute the application, using the flexible bit truncation setting.