TVM: Where are we going Tianqi ChenCurrent Deep Learning Landscape Frameworks and Inference engines DL Compilers Kenrel Libraries Hardware CuDNN NNPack MKL-DNN Hand optimized Open source, automated

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores characteristics of the underlying arithmetic of integers as implemented on modern computers. In applications where overflow is possible, explicit checking for wraparound produced by overflow is essential; otherwise

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores characteristics of the underlying arithmetic of integers as implemented on modern computers. In applications where overflow is possible, explicit checking for wraparound produced by overflow is essential; otherwise

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch Juliaup when Julia is started. The default is every 1440 minutes. • -p= (or --path): Configure where the Julia and Juliaup binaries are installed. The default is ~/.juliaup. 3.3 Alternative installation For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch Juliaup when Julia is started. The default is every 1440 minutes. • -p= (or --path): Configure where the Julia and Juliaup binaries are installed. The default is ~/.juliaup. 3.3 Alternative installation For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch Juliaup when Julia is started. The default is every 1440 minutes. • -p= (or --path): Configure where the Julia and Juliaup binaries are installed. The default is ~/.juliaup. 3.3 Alternative installation For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch Juliaup when Julia is started. The default is every 1440 minutes. • -p= (or --path): Configure where the Julia and Juliaup binaries are installed. The default is ~/.juliaup. 3.3 Alternative installation For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch Juliaup when Julia is started. The default is every 1440 minutes. • -p= (or --path): Configure where the Julia and Juliaup binaries are installed. The default is ~/.juliaup. 3.3 Alternative installation For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch Juliaup when Julia is started. The default is every 1440 minutes. • -p= (or --path): Configure where the Julia and Juliaup binaries are installed. The default is ~/.juliaup. 3.3 Alternative installation For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores

to the most specific matching definition. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch Juliaup when Julia is started. The default is every 1440 minutes. • -p= (or --path): Configure where the Julia and Juliaup binaries are installed. The default is ~/.juliaup. 3.3 Alternative installation For example, if +ᵃ is an operator, then +ᵃx must be written as +ᵃ x to distinguish it from + ᵃx where ᵃx is the variable name. A particular class of variable names is one that contains only underscores