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MXNet v1.1.0 Release Notes

Release Date: 2018-02-19 // about 6 years ago

  • 🌲 MXNet Change Log

    1.1.0

    Usability Improvements

    • 👌 Improved the usability of examples and tutorials

    🐛 Bug-fixes

    • 🛠 Fixed I/O multiprocessing for too many open file handles (#8904), race condition (#8995), deadlock (#9126).
    • 🛠 Fixed image IO integration with OpenCV 3.3 (#8757).
    • 🛠 Fixed Gluon block printing (#8956).
    • 🛠 Fixed float16 argmax when there is negative input. (#9149)
    • 🛠 Fixed random number generator to ensure sufficient randomness. (#9119, #9256, #9300)
    • 🛠 Fixed custom op multi-GPU scaling (#9283)
    • 🛠 Fixed gradient of gather_nd when duplicate entries exist in index. (#9200)
    • 🛠 Fixed overriden contexts in Module group2ctx option when using multiple contexts (#8867)
    • Fixed swap_axes operator with "add_to" gradient req (#9541)

    🆕 New Features

    • ➕ Added experimental API in contrib.text for building vocabulary, and loading pre-trained word embeddings, with built-in support for 307 GloVe and FastText pre-trained embeddings. (#8763)
    • ➕ Added experimental structural blocks in gluon.contrib: Concurrent, HybridConcurrent, Identity. (#9427)
    • ➕ Added sparse.dot(dense, csr) operator (#8938)
    • ➕ Added Khatri-Rao operator (#7781)
    • ➕ Added FTML and Signum optimizer (#9220, #9262)
    • Added ENABLE_CUDA_RTC build option (#9428)

    API Changes

    • ➕ Added zero gradients to rounding operators including rint, ceil, floor, trunc, and fix (#9040)
    • Added use_global_stats in nn.BatchNorm (#9420)
    • ➕ Added axis argument to SequenceLast, SequenceMask and SequenceReverse operators (#9306)
    • ⚡️ Added lazy_update option for standard SGD & Adam optimizer with row_sparse gradients (#9468, #9189)
    • ➕ Added select option in Block.collect_params to support regex (#9348)
    • ➕ Added support for (one-to-one and sequence-to-one) inference on explicit unrolled RNN models in R (#9022)

    🗄 Deprecations

    • 🚀 The Scala API name space is still called ml.dmlc. The name space is likely be changed in a future release to org.apache and might break existing applications and scripts (#9579, #9324)

    🐎 Performance Improvements

    • 👌 Improved GPU inference speed by 20% when batch size is 1 (#9055)
    • 👌 Improved SequenceLast operator speed (#9306)
    • ➕ Added multithreading for the class of broadcast_reduce operators on CPU (#9444)
    • 👌 Improved batching for GEMM/TRSM operators with large matrices on GPU (#8846)

    Known Issues

    • "Predict with pre-trained models" tutorial is broken
    • "example/numpy-ops/ndarray_softmax.py" is broken

    🚀 For more information and examples, see full release notes