Skip to content

Latest commit

 

History

History
86 lines (57 loc) · 3.16 KB

CHANGELOG.md

File metadata and controls

86 lines (57 loc) · 3.16 KB
Raw

Change Log

[nightly] - 2019-12-15

  • Synchronized Batch Norm: ME.MinkowskiSyncBatchNorm
    • ME.MinkowskiSyncBatchNorm.convert_sync_batchnorm converts a MinkowskiNetwork automatically to use synched batch norm.
  • examples/multigpu.py update for ME.MinkowskiSynchBatchNorm.
  • Update multigpu documentation
  • Update GIL release
  • Minor error fixes on examples/modelnet40.py
  • CoordsMap size initialization updates
  • Added MinkowskiUnion
  • Updated MinkowskiUnion, MinkowskiPruning docs

[0.3.1] - 2019-12-15

  • Cache in-out mapping on device
  • Robinhood unordered map for coordinate management
  • hash based quantization to C++ CoordsManager based quantization with label collision
  • CUDA compilation to support older devices (compute_30, 35)
  • OMP_NUM_THREADS to initialize the number of threads

[0.3.0] - 2019-12-08

  • Change the hash map from google-sparsehash to Threading Building Blocks (TBB) concurrent_unordered_map.
    • Optional duplicate coords (CoordsMap.initialize, TODO: make mapping more user-friendly)
    • Explicit coords generation (CoordsMap.stride, CoordsMap.reduce, CoordsMap.transposed_stride)
    • Speed up for pooling with kernel_size == stride_size.
  • Faster SparseTensor.dense function.
  • Force scratch memory space to be contiguous.
  • CUDA error checks
  • Update Makefile
    • Architecture and sm updates for CUDA > 10.0
    • Optional cblas

[0.2.9] - 2019-11-17

  • Pytorch 1.3 support
    • Update torch cublas, cusparse handles.
  • Global max pooling layers.
  • Minor error fix in the coordinate manager
    • Fix cases to return in_coords_key when stride is identity.

[0.2.8] - 2019-10-18

  • ModelNet40 training.
  • open3d v0.8 update.
  • Dynamic coordinate generation.

[0.2.7] - 2019-09-04

Use std::vector for all internal coordinates to support arbitrary spatial dimensions.

  • Vectorized coordinates to support arbitrary spatial dimensions.
  • Removed all dimension template instantiation.
  • Use assertion macro for cleaner exception handling.

[0.2.6] - 2019-08-28

Use OpenMP for multi-threaded kernel map generation and minor renaming and explicit coordinate management for future upgrades.

  • Major speed up
    • Suboptimal kernels were introduced, and optimal kernels removed for faulty cleanup in v0.2.5. CUDA kernels were re-introduced and major speed up was restored.
  • Minor name changes in CoordsManager.
  • CoordsManager saves all coordinates for future updates.
  • CoordsManager functions createInOutPerKernel and createInOutPerKernelTranspose now support multi-threaded kernel map generation by default using OpenMP.
    • Thus, all manual thread functions such as createInOutPerKernelInThreads, initialize_nthreads removed.
      • Use export OMP_NUM_THREADS to control the number of threads.

[0.2.5a0] - 2019-07-12

  • Added the MinkowskiBroadcast and MinkowskiBroadcastConcatenation module.

[0.2.5] - 2019-07-02

  • Better GPU memory management:
    • GPU Memory management is now delegated to pytorch. Before the change, we need to cleanup the GPU cache that pytorch created to call cudaMalloc, which not only is slow but also hampers the long-running training that dies due to Out Of Memory (OOM).