Methods and apparatus to process a machine learning model in a multi-process web browser environment

At least one non-transitory computer readable medium comprising instructions which, when executed, cause at least one processor to at least:

• determine a mode of operation for a computation graph to be executed;
• in response to determining that the computation graph is to be executed using an interpretation mode, perform a lookup of a central processing unit (CPU) instruction corresponding to a node of the computation graph, the CPU instruction being a CPU-specific instruction for execution by the at least one processor;
• profile execution of the computation graph to determine whether the computation graph is frequently executed;
• and
• in response to determining that the computation graph is frequently executed:
• transmit a request for compilation of the computation graph into a graphics processing unit (GPU) kernel for execution at a GPU;
• and
• update the mode of operation for the computation graph.

An apparatus for processing a machine learning model in a multi-process web browser environment, the apparatus including:

• means for determining a mode of operation for a computation graph to be executed;
• means for identifying a CPU instruction corresponding to a node of the computation graph, the CPU instruction being a CPU-specific instruction for execution by at least one processor;
• means for profiling to determine whether the computation graph is frequently executed;
• and
• means for transmitting, in response to determining that the computation graph is frequently executed, a request for compilation of the computation graph into a GPU kernel for execution at a GPU.