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@daniellowell daniellowell released this 20 Dec 17:11
· 4690 commits to master since this release
v1.2.0
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Learn about vigilant mode.

Notes:

  • This release adds the support for recurrent neural networks (RNNs) for three flavors - Vanilla, LSTMs, and GRU
  • Users can now themselves update the perf-db file, which hosts the tuning parameters for convolutions, by setting appropriate environment variables

Changes:

  • Over 50% improvement in ResNet performance since the last release
  • Multiple padding modes like Same and Valid added
  • Winograd convolution kernels added for strided bwd-data convolutions
  • Tensor Ops allow for beta and alpha scaling values and support up to 5 dimensions with strides and offsets
  • Tensor Copy supports up to 5 dimesnional copies with strides and offsets
  • Unit-tests for LRN are added
  • Several bug fixes for all the layers of the library

Known issues:

  • RNNs may give incorrect result due to a known compiler bug; issue may particulary arise during some RNNs configs with GEMM of size power of 4
  • Potential issue where OpenCL resources will be exhausted for large RNN
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