Bring Your Own Codegen to TVMAmazon/Intel Confidentia Presenter: Zhi Chen, Cody Yu Amazon SageMaker Neo, Deep Engine Science Bring Your Own Codegen to TVM AWS AI© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Considering Prototyping https://github.com/apache/incubator-tvm/pull/4258 RFC https://discuss.tvm.ai/t/bring-your-own-codegen-to-tvm/4501© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Acknowledgement0 码力 | 19 页 | 504.69 KB | 5 月前3
Tornado 6.5 Documentationmodule, it is not a focus of development and most applications should be written to use Tornado’s own interfaces (such as tornado.web) directly instead of using WSGI. In general, Tornado code is not thread-safe BaseHandler class that overrides methods such as write_error and get_current_user and then subclass your own BaseHandler instead of RequestHandler for all your specific handlers. Handling request input The like special function calls to render components of your page, and they can come packaged with their own CSS and JavaScript. For example, if you are implementing a blog, and you want to have blog entries0 码力 | 272 页 | 1.12 MB | 3 月前3
julia 1.10.10model 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. Operators are just functions with special defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash InexactError: trunc(Int8, 128.0) Stacktrace: [...] See Conversion and Promotion for how to define your own conversions and promotions. Rounding functions Function Description Return type round(x) round x0 码力 | 1692 页 | 6.34 MB | 3 月前3
Julia 1.10.9model 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. Operators are just functions with special defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash InexactError: trunc(Int8, 128.0) Stacktrace: [...] See Conversion and Promotion for how to define your own conversions and promotions. Rounding functions Function Description Return type round(x) round x0 码力 | 1692 页 | 6.34 MB | 3 月前3
Julia 1.11.4. . . . . . . . . . . . . . . . . . . 486 37.14 Ensure constructors return an instance of their own type . . . . . . . . . . . . . . . 487 37.15 Don't use unnecessary static parameters . . . . . . 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. Operators are just functions with special defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.5 Documentation. . . . . . . . . . . . . . . . . . . 486 37.14 Ensure constructors return an instance of their own type . . . . . . . . . . . . . . . 487 37.15 Don't use unnecessary static parameters . . . . . . 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. Operators are just functions with special defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.6 Release Notes. . . . . . . . . . . . . . . . . . . 486 37.14 Ensure constructors return an instance of their own type . . . . . . . . . . . . . . . 487 37.15 Don't use unnecessary static parameters . . . . . . 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. Operators are just functions with special defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash0 码力 | 2007 页 | 6.73 MB | 3 月前3
julia 1.13.0 DEV. . . . . . . . . . . . . . . . . . . 497 37.15 Ensure constructors return an instance of their own type . . . . . . . . . . . . . . . 498 37.16 Don't use unnecessary static parameters . . . . . . 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.CHAPTER 1. JULIA 1.13-DEV DOCUMENTATION 4 defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash0 码力 | 2058 页 | 7.45 MB | 3 月前3
Julia 1.12.0 Beta4. . . . . . . . . . . . . . . . . . . 497 37.14 Ensure constructors return an instance of their own type . . . . . . . . . . . . . . . 498 37.15 Don't use unnecessary static parameters . . . . . . 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.CHAPTER 1. JULIA 1.12-BETA4 DOCUMENTATION defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta3. . . . . . . . . . . . . . . . . . . 497 37.14 Ensure constructors return an instance of their own type . . . . . . . . . . . . . . . 498 37.15 Don't use unnecessary static parameters . . . . . . 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.CHAPTER 1. JULIA 1.12-BETA3 DOCUMENTATION defaults to calling ==, so if you want to define equality for your own types then you only need to add a == method. If you define your own equality function, you should probably define a corresponding hash0 码力 | 2057 页 | 7.44 MB | 3 月前3
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