TVM Change Log

This file records the changes in TVM library in reverse chronological order.

On-going version

Refer to the Roadmap issue for complete list on on-going version features. If you check in something that is not reflected in Roadmap issue, please reply to that issue so it can get added.

0.3

This release features numerous improvements in TOPI and backends. We make the first step toward object detection support in TOPI, featuring operators necessary for YOLO and SSDs. The topi now supports numpy-style API and operator overloading. RPC is significantly improved to support resource allocation and using a pool of devices. We are adding two new backends: WebGL for running GPUs on the browser, and Vulkan for running on next-generation graphics API.

  • TOPI Vision operators
    • SSD support
    • YOLO support
    • NMS operator support in vision
  • TOPI general numpy-style operators
    • numpy style operator overload in topi
    • more operators: flip, take
    • dilation support on conv2d and depthwise
  • 8bit support
    • ARM 8bit gemm
    • ARM 8bit conv
  • Low bit operator support
    • popcount intrinsics
    • 1-bit fully connected
  • Contrib: MPSDNN fully-connected and conv2d support
  • Better RPC support
    • RPC Tracker support to allow centralized resource management
    • RPC protocol upgrade (this is a non-backward compatible change) to support timeout in the proxy
      • This is a breaking change, need to use the latest version of TVM runtime with the RPC
    • Fault-tolerant to early server termination with correct exception propagated
    • RPC support enabled for ROCm AMDGPUs
  • Tutorials and docs
    • How to deploy to android devices.
  • Optimizations for hardware backends
    • intel CPU (AVX and AVX512)
  • Schedule Primitives
    • rfactor now support factor_axis to specify the factored dimension in the result
    • cache_write now support multiple output operators
    • enable warp memory which generates shuffle instructions
  • Framework bridge
    • MXNet bridge supported
  • C++ compiler API support
    • build migration
    • topi migration to c++
    • Target system in c++
  • WebGL backend
    • runtime and codegen
    • topi integration
    • end to end pipeline on the browser
  • Vulkan backend
    • vulkan runtime
    • spirv code generator
  • Security
    • intel SGX runtime support
    • multi-threaded SGX runtime
  • LLVM 7.0 support
  • Robustness
    • VerifyMemory to verify incorrect GPU schedules that writes into GPU memory from cpu
    • Verify compute formulas
  • Better CPU parallel runtime

0.2

This release comes with a complete set of TOPI support for NNVM compiler, which allows compilation of end to end workloads. We also make major improvements in supporting new backends: ROCm for AMDGPUs and ARM GPU.

  • Backend support
    • Support LLVM mainline(4.0, 5.0, 6.0)
    • Support ROCM stack for AMD GPUs
    • More robust OpenCL support for ARM GPUs
  • Android RPC runtime
  • Multi-threading optimization for ARM
    • multi-threaded depthwise
    • multi-threaded conv2d
  • New schedule primitives
    • storage_align for shared memory alignment
    • double_buffer
  • UnrollLoop : more robust version of unroll loop, count maximum steps that can be unrolled.
  • Full set of TOPI operators
    • Introduce tvm.target to specify target options for compilation better.
    • broadcast/ reduction operators
    • pooling and global pooling
    • Generic target support for topi
    • schedule with external libraries
  • End to end deep learning pipelines for CPU, GPU, ARM GPU
  • Tutorials
    • How to load compiled module in any language runtime
    • How to use java runtime
  • Contrib library: MIOpen, CuDNN
  • Ongoing items that contains functioning pieces
    • WebGL backend
    • C++ compiler support
    • MPS DNN
    • low bit support, introduced popcount

0.1

  • Language runtime
    • python
    • javascript
    • java
    • c++
  • Backend
    • arm, x86
    • javascript, wasm
    • CUDA
    • opencl
    • Metal
  • DNN Library integration
  • RPC runtime
  • TOPI operator pipeline python
  • TOPI operator pipeline in C++
  • Rough perf of the TOPI GPU pipeline
  • Rough pref of TOPI CPU pipeline
  • End to end graph executors

Initial version

  • Pack libary into shared library.
  • External function and contrib libraries
  • DLPack integration support
  • AOT and module system
  • Basic code structure ready.