Incubator Tvm Versions Save

NOTE: This is a release pre apache incubation

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. Check out previous blogs that describes these major improvements in detail!

• 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

NOTE: This is a release pre apache incubation

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