to run_in_executor should avoid referencing any Tornado objects. run_in_executor is the recommended way to interact with blocking code. asyncio Integration Tornado is integrated with the standard library source distribution includes demo applications that are not present when Tornado is installed in this way, so you may wish to download a copy of the source tarball or clone the git repository [https://github com/forum/#!forum/python- tornado-announce]. Tornado is available under the Apache License, Version 2.0 [http://www.apache.org/licenses/LICENSE-2.0.html]. This web site and all documentation is licensed

to run_in_executor should avoid referencing any Tornado objects. run_in_executor is the recommended way to interact with blocking code. 7Tornado Documentation, Release 6.5.1 8 Chapter 3. Threads and WSGICHAPTER source distribution includes demo applications that are not present when Tornado is installed in this way, so you may wish to download a copy of the source tarball or clone the git repository as well. Prerequisites: by definition interact differently with their callers; there is no free way to make a synchronous function asynchronous in a way that is transparent to its callers (systems like gevent use lightweight

Meetup 11/8/2019 Jared Roesch OctoML is a new company building DL deployment solutions using the Apache (incubating) TVM project. A goal is to nurture the TVM community and contribute new infrastructure t3: Tensor Q octoML Coalesced t1: Tensor t2: Tensor t3: Tensor 13 Acknowledgments e The Apache(incubating) community members. e ASF Mentors and PMC members who make this awesome project Possiblel

Intel, … Incubated as Apache TVM recently. Independent governance, allowing competitors to collaborate. Open Code Open Development Open GovernanceAcknowledgement Apache (incubating) TVM community

Product Ops  Product Management  Every technology under the sun  Solaris, Windows, Linux  Apache, IIS, TCServer, etc.  Oracle, DB2, SQL Server  How we got better  We read and we studied.

or its Affiliates. All rights reserved. Thank You and Q&A System Prototyping https://github.com/apache/incubator-tvm/pull/4258 RFC https://discuss.tvm.ai/t/bring-your-own-codegen-to-tvm/4501© 2019

programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming. To achieve this avoid some common pitfalls since Julia differs from those languages in many subtle ways. The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print other variables (i.e., they cannot be used as rvalues) or use the last value assigned to them in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifier

programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming. To achieve this avoid some common pitfalls since Julia differs from those languages in many subtle ways. The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print other variables (i.e., they cannot be used as rvalues) or use the last value assigned to them in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifier

programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming. To achieve this avoid some common pitfalls since Julia differs from those languages in many subtle ways. The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print only be assigned values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers

programming. Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming. To achieve this avoid some common pitfalls since Julia differs from those languages in many subtle ways. The easiest way to learn and experiment with Julia is by starting an interactive session (also known as a read-eval-print only be assigned values, which are immediately discarded, and their values cannot be used in any way. julia> x, ___ = size([2 2; 1 1]) (2, 2) julia> y = ___ ERROR: syntax: all-underscore identifiers