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  • pdf文档 TVM Meetup: Quantization

    Dialect • Design • Operators • Results on Intel Cascade Lake© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Quantized Operators in Framework • New operators like TF quantized_conv2d quantized_conv2d • Underlying calculations are different than FP32 conv2d • Sometimes operators are aggressively fused • TFLite fuses quantized_conv2d, bias, relu and requantize 𝑟𝑒𝑎𝑙_𝑣𝑎𝑙𝑢𝑒 = 𝒔𝒄𝒂𝒍𝒆 Web Services, Inc. or its Affiliates. All rights reserved. How to Support Framework Quantized Operators? Option 1 – Completely add new ops from scratch • New Relay passes and TVM schedules required
    0 码力 | 19 页 | 489.50 KB | 5 月前
    3
  • pdf文档 Bring Your Own Codegen to TVM

    Design and manufacture a deep learning chip which achieves amazing performance on widely-used operators (e.g. conv2d, dense, ReLU, etc) Now your customer wants to run a YOLO model, but... ResNet-50 Runtime, Interpreter) Your Dispatcher Target Device General Devices (CPU/GPU/FPGA) Mark supported operators or subgraphs 1. Implement an operator-level annotator, OR 2. Implement a graph-level annotator© Runtime, Interpreter) Your Dispatcher Target Device General Devices (CPU/GPU/FPGA) Mark supported operators or subgraphs 1. Implement extern operator functions, OR 2. Implement a graph annotator© 2019, Amazon
    0 码力 | 19 页 | 504.69 KB | 5 月前
    3
  • pdf文档 TVM@Alibaba AI Labs

    Tensor Operators & Runtime Property Registr \L Compiler Toolchain 于 TVM TOPI Schedule Primitives & Optimizations Symbols NNVM & Param Frontends Operators Algorithm
    0 码力 | 12 页 | 1.94 MB | 5 月前
    3
  • pdf文档 Gluon Deployment

    Services, Inc. or its Affiliates. All rights reserved. Amazon Trademark Effects of Convolution operators using TVM AWS DeepLens Acer aiSage NVIDIA Jetson Nano Speedup 0 2 4 6 8 SSD_MobileNet1
    0 码力 | 8 页 | 16.18 MB | 5 月前
    3
  • pdf文档 OctoML OSS 2019 11 8

    AuroTYM QQ octoML AutoTVM on HTVM DTYM Runtime send program 较 ,we 人 Interace Optimize TVM operators on microcontrollers by making use of AutoTVM
    0 码力 | 16 页 | 1.77 MB | 5 月前
    3
  • pdf文档 TVM: Where Are We Going

    FleetExisting Deep Learning Frameworks High-level data flow graph Hardware Primitive Tensor operators such as Conv2D eg. cuDNN Offload to heavily optimized DNN operator library FrameworksLimitations
    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

    al., 2020). Given that DeepSeek-V2 has relatively few activated parameters, and a portion of the operators are recomputed to save acti- vation memory, it can be trained without the necessity of tensor parallelism
    0 码力 | 52 页 | 1.23 MB | 1 年前
    3
  • pdf文档 Trends Artificial Intelligence

    on it fastest, personalize it deepest, and deploy it widest. *Hyperscalers (large data center operators) are Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Alibaba Cloud, Oracle
    0 码力 | 340 页 | 12.14 MB | 4 月前
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