IntelĀ® Machine Learning Scaling Library
2018
A library providing an efficient implementation of communication patterns used in deep learning.
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![]() ![]() | The namespace containing all Intel MLSL classes and types |
![]() ![]() ![]() | A struct to hold quantization parameters |
![]() ![]() ![]() | A class to hold block information for activations packing/unpacking |
![]() ![]() ![]() | A wrapper class for operation input and output activations |
![]() ![]() ![]() | A wrapper class for operation parameters |
![]() ![]() ![]() | A class to hold information about the parallelism scheme being used |
![]() ![]() ![]() | A class to hold Operation registration information |
![]() ![]() ![]() | A class to hold information about learnable parameters (parameter sets) and activations corresponding to a certain operation of the computational graph |
![]() ![]() ![]() | A class to measure and store performance statistics of communication among processes that perform computation in the computational graph |
![]() ![]() ![]() | A class to represent a collection of Operation objects with the same global mini-batch size |
![]() ![]() ![]() | A singleton object that holds global Intel MLSL functions |