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  • pdf文档 Dynamic Model in TVM

    Affiliates. All rights reserved. Support dynamic model in TVM ● Support Any-dim in typing ● Use shape function to compute the type at runtime ● Virtual machine as a new runtime for Relay ● Dynamic codegen fp32>© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Gradual typing: shape function ● Relax type inference/checking for Any at compilation time broadcast: fn(Tensor<(Any, Any), fp32> Affiliates. All rights reserved. Gradual typing: shape function ● Relax type inference/checking for Any at compilation time ● Register a shape function for operator to check the type and compute the output
    0 码力 | 24 页 | 417.46 KB | 5 月前
    3
  • pdf文档 TVM: Where Are We Going

    Single unified module/pass, type system, with function variants supportCompilation Flow under the New Infra IRModule (relay::Function) IRModule (te::Function, ExternFunc, …) runtime::Module High-level High-level optimizations (Auto) Schedules
 Low-level optimizations Codegen Import LowerMixed Function Variants in the Same Module def @relay_add_one(%x : Tensor((10,), f32)) { call_destination_passing Compilers MLIR-TF Function relay::Function TorchScript IR Translation Custom Packaging runtime::Module ExternModule DSOModule Function in Other IR ExternFunc te::Function IRModule Custom
    0 码力 | 31 页 | 22.64 MB | 5 月前
    3
  • pdf文档 DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

    DeepSeekMoE in this section. For other tiny details (e.g., layer normalization and the activation function in FFNs), unless specifically stated, DeepSeek-V2 follows the settings of DeepSeek 67B (DeepSeek-AI (25) where ?1 is a hyper-parameter called expert-level balance factor; 1(·) denotes the indicator function; and ? denotes the number of tokens in a sequence. Device-Level Balance Loss. In addition to the example of MATH. 45 PROMPT You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:
    0 码力 | 52 页 | 1.23 MB | 1 年前
    3
  • pdf文档 OpenAI 《A practical guide to building agents》

    Python 1 2 3 4 5 6 7 8 8 10 11 12 from import def agents Agent, WebSearchTool, function_tool @function_tool save_results(output): db.insert({ : output, : datetime.time()}) return delegate to another agent. In the Agents SDK, a handoff is a type of tool, or function. If an agent calls a handoff function, we immediately start execution on that new agent that was handed off to while ‘we cannot process your message. Try again!’ Continue with function call Handoff to Refund agent Call initiate_
 refund function ‘is_safe’ True Reply to user User input User AgentSDK gpt-4o-mini
    0 码力 | 34 页 | 7.00 MB | 6 月前
    3
  • pdf文档 Bring Your Own Codegen to TVM

    rights reserved. Graph Partitioning Use external functions to wrap annotated subgraphs extern function data weight1 weight3 weight2 output data weight1 weight3 weight2 output data weight1 weight3 the build logic Dispatch generated binary/library/engine in runtime ● Implement a runtime packed function© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Implement the Runtime n_name>.{h, cc} ● Overview extern function data weight1 weight3 weight2 output Relay runtime invokes your GetFunction() to execute the external function© 2019, Amazon Web Services, Inc. or its
    0 码力 | 19 页 | 504.69 KB | 5 月前
    3
  • pdf文档 XDNN TVM - Nov 2019

    CPU FPGA CPU CPU FPGA Parallel Subgraphs© Copyright 2018 Xilinx Registering external accelerator function @reg.register_compute("accel", level=15) def compute_accel(attrs,inputs,outputs): op = 'accel' in inpt.shape] for inpt in inputs] out_shapes = [[int(i) for i in outputs[0].shape]] # EXTERNAL FUNCTION TO RUN THE FUSED OPERATION out = tvm.extern(outputs[0].shape, inputs, lambda ins, outs: tvm.call_packed('tvm "num_inputs": "1", "num_outputs": "1" }, "inputs": [[1, 0, 0]] }, >> 11 Calls XDNN’s TVM registered function to access the FPGA runtime APIs© Copyright 2018 Xilinx Registering TVM op in Python at runtime
    0 码力 | 16 页 | 3.35 MB | 5 月前
    3
  • pdf文档 Google 《Prompt Engineering v7》

    predicted token. The Gemini temperature control can be understood in a similar way to the softmax function used in machine learning. A low temperature setting mirrors a low softmax temperature (T), emphasizing print("Files renamed successfully.") ``` Output The code calls the `toUpperCase` function to convert `prefix` to uppercase, but that function is not defined. To fix this issue, you can use the `upper()` method of
    0 码力 | 68 页 | 6.50 MB | 6 月前
    3
  • pdf文档 Trends Artificial Intelligence

    reliance on costly, time-intensive experimental methods, enabling rapid exploration of protein function and design. Size of Major Protein Sequencing Models (B Parameters) – 2020-2024, per Stanford world. The idea of the human workforce re-configured to teach and refine machines as a primary function might sound dystopic. But it’s worth remembering historical parallels. Fifty years ago, this prospect doing not just the consultation, but also doing the work for our merchants is a mind-blowing step function change here. Our task here at Shopify is to make our software unquestionably the best canvas on
    0 码力 | 340 页 | 12.14 MB | 4 月前
    3
  • pdf文档 PAI & TVM Meetup - Shanghai 20191116

    cuUBLAS/VcuDNNVCUTL, Blade Kernel Lib S, ation 计算平台事业部 COMPUTING PLATFORM Weight Adjustment IHomogeneous 剂Function: f(cx) =cfGx) Conv/MatMu1l 计算平台事业部 COMPUTING PLATFORM /c Weight Adjustment
    0 码力 | 26 页 | 5.82 MB | 5 月前
    3
  • pdf文档 OpenAI - AI in the Enterprise

    Fortune 50 home improvement company, to improve the accuracy and relevance of their ecommerce search function. With thousands of suppliers, Lowe’s often has to work with incomplete or inconsistent product
    0 码力 | 25 页 | 9.48 MB | 5 月前
    3
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