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DALI v0.2.0

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@JanuszL JanuszL released this 27 Aug 22:40
v0.2.0
2319d24

Bug fixes

  • Avoid full construction of the pipeline during construction and fix seed support in serialized pipelines (#16)
  • Fix as_tensor not keeping the parent alive in Python (#60)
  • Fix for "invalid resource handle" in multi-gpu training
  • Fixes to PyTorch example. Need to reset DALI iterators between epochs. Putting model/loss computation back to default stream due to encountered memory access errors otherwise (#15)
  • Move example file_list to proper dir (#38)
  • Added fallback to host decoder when image is not JPEG but PNG instead (like n02105855_2933.JPEG from ImageNet) (#118)

Breaking API changes

  • The API for the Resize operator changed to match other similar operators like ResizeCropMirror.
  • The API for the TensorFlow plugin changed to allow specifying the whole shape of the tensor instead of N, H, and W separately; which enables handling both NCHW and NHWC outputs.
  • The type of labels produced by the TensorFlow plugin have changed. In DALI version 0.1.2, it was always tf.float32. In this release, a new optional parameter called label_type is introduced to the TensorFlow plugin to control the type of label. The default value for label_type is tf.int64 to better align with the label type in TFRecord.

Improvements

  • Add NVTX ranges for Operators run (#73)
  • Add a note about NGC containers in README (#78)
  • Unfused Crop operator and CropCastPermute operator (#50)
  • Make build more restrictive Werror (#71)
  • Add links to docs in README (#72)
  • Expanded TF compatibility tests
  • Add example with multiple readers pluged into TF (#58)
  • Make pkg-config optional for CMake (#59)
  • Resize refactor (#63)
  • Add type casting in Python (#54)
  • Add check that third_party git submodules are synced
  • Add fallback in cmake when .pc file is not available for libjpeg-turbo (#49)
  • Sphinx documentation (#36)
  • Fix nvJpeg include dir (#47)
  • Add private attribute naming convention to Pipeline::current_seed_ (#46)
  • Add a shape argument for the output of the TF plugin (#45)
  • Bump up libturbo-jpeg version to 1.5.3 (#44)
  • Clean up dependencies list and dependency checks (#42)
  • Switch over completely to FindProtobuf.cmake from CMake 3.9.6 (#41)
  • Update README for prerequisites (#40)
  • Add error checking for file_list format in file_loader. (#37)
  • Add test support for various versions of pyTorch (#35)
  • Add polymorphism for TF plugin outputs (#33)
  • Add tensor layout checking (#32)
  • Avoid rebuilding *.cu files during 'make install' after 'make' (#25)
  • Add CUDA 8, OpenCV 2 support and options to disable libjpeg-turbo and nvJPEG (#22)
  • Add CONTRIBUTING.md file and updated contribution section in the README.md (#20)
  • Avoid full construction of the pipeline during construction and fix seed support in serialized pipelines (#16)
  • Add int64 as label type and set it as default (#125)

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.2.0

Or use direct download links:

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