Bring Your Own Codegen to TVMDispatch Codegen Built Shared Library runtime::PackedFunc DNNLModule::GetFunction( const std::string& name, const std::shared_ptr& sptr_to_self) { if (name == "init") { return PackedFunc([sptr_to_self this->Init(args[0]); . }); } else { std::string curr_id = GetSubgraphID(name); return PackedFunc([sptr_to_self, curr_id, this](TVMArgs TVMRetValue* rv) { auto out = reinterpret_cast (args[args.size() - 1]>data); std::string encoded_name = kDnnlPrefix + curr_id; . auto func_s = reinter 0 码力 | 19 页 | 504.69 KB | 6 月前3
OpenAI 《A practical guide to building agents》or generating a report. Applications that integrate LLMs but don’t use them to control workflow execution—think simple chatbots, single-turn LLMs, or sentiment classifiers—are not agents. More concretely manage workflow execution and make decisions. It recognizes when a workflow is complete and can proactively correct its actions if needed. In case of failure, it can halt execution and transfer control instructions reduce ambiguity and improve agent decision-making, resulting in smoother workflow execution and fewer errors. Best practices for agent instructions Use existing documents When creating routines0 码力 | 34 页 | 7.00 MB | 6 月前3
TVM@Alibaba AI Labs阿里巴巴人工智能实验室 PowerVR GPU Alibaba Al.Labs 阿里巴巴人工智能实验室 PowerVR support by TVM NNVM Compiler -Execution graph -Model layers functions Computation Graph Optimizations -Param TvM0 码力 | 12 页 | 1.94 MB | 6 月前3
XDNN TVM - Nov 2019Efficiency ˃ Supported on U200 – 3 Instances U250 – 4 Instances Amazon F1 ˃ ~1536 DSPs @ 700MHz Execution Controller Spill / Restore DMA Controller Weights DMA Controller Systolic Array Bias ReLU0 码力 | 16 页 | 3.35 MB | 6 月前3
Trends Artificial Intelligence
agents, but deploying them, investing in frameworks and building ecosystems around autonomous execution. What was once a messaging interface is becoming an action layer.90 Source: Google Trends via rich context within the enterprise through the Ontology. We remain differentiated in our elite execution to deliver quantified exceptionalism for our customers, ever widening their advantage over the0 码力 | 340 页 | 12.14 MB | 5 月前3
DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language ModelSolar-Lezama, G. Synnaeve, and S. I. Wang. Cruxeval: A benchmark for code reasoning, understanding and execution, 2024. D. Hendrycks, C. Burns, S. Basart, A. Zou, M. Mazeika, D. Song, and J. Steinhardt. Measuring0 码力 | 52 页 | 1.23 MB | 1 年前3
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