Releases · NVIDIA/DALI

27 Mar 18:30

JanuszL

v0.8.0

e788f66

DALI v0.8.0 Pre-release

Pre-release

Bug fixes

Change unconditional move to forward (#651)
Fix use after move error (#650)
Disable split_stages when old nvjpeg is present (#645)
Replace host_defines.h with cuda_runtime.h (#643)
Fix WriteImageScaleBias for GPUBackend images (#639)
Use the same lock to condition for cv in ExternalSource (#628)
Fix missing header in crop_window.h (#638)
Add -Wsign-compare to CMAKE_CXX_FLAGS for Clang (#626)
Fix reading expired c_str(). (#620)
More fixes for tests (#618)
Fix out-of-range write. (#614)
Fix L1 jupyter plugin test (#612)
Fix tests for CUDA 10 (#605)
Fixing note admonitions and section separators (#604)
Fix development documentation warning (#607)
Disabled failing tests (#608)
Fix linter (#603)
Fix description in RN50 test pipeline (#596)
Fix aspect ratio distribution. (#583)
Fix nvJPEGDecoder unit tests (#576)
Fix TensorFlow RN50 training example for multinode (#569)
Fixed broken DEBUG build. (#571)
Fix memory corruption caused by sparse tensor handling (#555)
Fix Slice documentation (remove arguments from Crop) (#554)
Fix import in tensorflow-plugin-sparse-tensor example (#546)
Fix OpenCV 3.x compatibility (#548)
Fix lint in Crop GPU 2.0 (#542)
Fix lint in Crop GPU (#541)
Fix Crop GPU for supporting Crop derivatives (#538)
Fix segmentation fault by dropping usage of std::function in TypeInfo (#535)
Fix random bounding box crop (#512)
Align SSDRandom crop with RandomBBoxCrop + Slice (#578)
Fix use after move error (#650)
Change unconditional move to forward (#651)

Improvements

Expose support for setting up separated execution in Python (#624)
Add prefetched batch queue in Reader (#641)
Separate Executor Queues - Generalize Executors (#577)
Allow crop window dimensions to be argument inputs (#637)
Utility kernels for Optical flow (#565)
Removing dimension from TensorView (#625)
Add ROI resize to CPU resampling (crop+flip). (#631)
Add split_stages to nvJPEGDecoder* operators (#634)
Docker multi-stage build for CUDA (#586)
Generalize Executor tests (#609)
nvJpegDecoderCrop, nvJpegDecoderRandomCrop, nvJpegDecoderSlice (#543)
Store Queues of Buffers for corresponding TensorNodes (#551)
Add any_of and all_of in kernels util (#627)
Add cache for nvjpeg decoder with decoupled api (#616)
Unified filtering setup for CPU and GPU. (#613)
Refactor Executor and OpGraph (#540)
Add two-stage splitted nvJPEGDecoder with new decoupled API (#582)
SSD multi-gpu example (#517)
Enable argument inputs in Mixed operators (#621)
Add WorkspaceDataFactory with traits for Tuples and WS (#602)
Refactor OpGraph - OpNodes and TensorNodes (#513)
Add better colors for Executor NVTX marks (#619)
Add single nvJPEGDecoder with new decoupled API (#579)
Make nvJPEGDecoder cache global (#594)
Add ROI-based GPU resampling (#606)
Change is_cpu from TensorMeta to StorageDevice enum (#598)
Change DALIOpType to dali::OpType enum class (#597)
Add options for COCOReader (#588)
Add CUDA 10.0 version whl support (#570)
Move master docs warning to the top of page (#601)
adding dali_extra support (#595)
Adding CUStream class to Dali (#589)
Add warning about C++ API stability (#587)
Improve RN50 pipeline test (#584)
Unify random crop generation. (#590)
PyTorch SuperRes with VideoReader example (#380)
Add advanced section in the documentation (#575)
nvJPEGDecoder with cache (#550)
Resize with resampling kernels (#520)
add cuPointerGetAttributes (#580)
Add cubic filter for CPU and GPU. (#574)
Make sticking to data shard optional (#563)
add turing optical flow (#572)
Resampling for GPU (#518)
Add option to select targeted CUDA archs (#564)
Add printing of average TensorFlow training performancein L3 test (#566)
Resampling for CPU (#556)
Common (CPU, GPU) changes to directory structure for resampling. (#558)
Generalize volume function. (#559)
Set proper CMAKE_XXX_FLAGS for different build types (#553)
Add RN50 data pipeline perf test (#549)
Make every GPU stick to its shard (#545)
Add a proper error reporting for build.sh docker script (#547)
Add ability to return sparse tensor on CPU for TF DALI op (#509)
Remove excessive #include checks from cpplint. (#544)
OpticalFlow Operator (#526)
Kernel API extensions and refactoring. (#536)
Add documentation for operators expecting sequence inputs (#525)
Make nvJpeg operator to fallback to the CPU even for wrong images (#539)
Samplers for CPU and GPU surfaces. (#533)
Flatten Sequence and Sequence Crop GPU operator (#477)
Workaround for Flip misaligned by 1 pixel. (#534)
Simple argument parser (#531)
Transpose Operator for GPU (#514)
Enhance documentation of Crop, and seed argument (#532)
Enhance Crop arguments documentation (#529)
Add link to functions in operator table in docs (#519)
Add surface type for image processing. (#528)
OpticalFlowAdapter generalization (#505)
Host decoder external crop (#503)
Add error message to views.h (#501)
Remove redundant checks in Crop GPU (#515)
Common utilities for kernels. (#496)
Add InternalOp in OpSchema for better blacklisting of internal ops (#652)
Use resampling in both RandomResizedCrop and Resize (#642)

Breaking API changes

None

Known issues:

New Video reader operator requires NVIDIA VIDEO CODEC SDK support in the platform. NVIDIA GPU Cloud (NGC) optimized containers lacks this functionality in the default configuration prior to 19.01. To enable it please run the container with the ‘video’ capability enabled, ie.:
-e "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video"
The video loader operator requires that the key frames occur at a minimum every 10 to 15 frames of the video stream. If the key frames occur at a lesser frequency, then the returned frames may be out of sync.

Binary builds

Install via pip for CUDA 9:
pip install --extra-index-url http://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.8.0
or for CUDA 10
pip install --extra-index-url http://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.8.0

Or use direct download links (CUDA 9.0):

Or use direct download links (CUDA 10.0):

FFmpeg source code:

This software uses code of FFmpeg licensed under the LGPLv2.1 and its source can be downloaded here

Assets 2

07 Mar 05:54

JanuszL

v0.7.0

51804e9

DALI v0.7.0 Pre-release

Pre-release

Bug fixes

Fix TensorFLow example (#511)
Update CUDA synchronicity for VideoReader (#508)
Change download path for FFmpeg in Dockerfile (#507)
Let OpenCV build to pick turbojpeg from system, as it was building turbojpeg anyway (libjpeg usage was deprecated) (#490)
Make L3 PyTorch really fail when it fails (#502)
Temporary fix for broken tensorflow import (keras-preprocessing is importing pandas, which is not installed) (#498)
Fix L3 RN50 tests accuracy (#468)
Fix the table in README.rst
Fix FP16 type support on CPU (#464)
Fixes for presizing. (#472)
Fix ssd random crop (#470)
Force BOOST_PP to recognize NVCC as supporting variadic macros. (#463)
fix bug in TensorView creation (#456)
Add -y to ffmpeg split for CI (#445)
Fix problems with the external input operator (#453)
Fix compatibility with OpenCV 4 and 2 (#446)
Remove BUILD_ID from sdist package name as it is interpreted as part of the version by pip (#425)
Fix broken lint build (#419)

Improvements

Add HostDecoderRandomCrop (#462)
Add Element Extract Operator (#420)
Make as_cpu return a non pinned TensorList to avoid cudaMallocHost calls (#500)
Add more verbose error message when TensorFlow plugin shape doesn't m… (#495)
Add TestOpArg constructors for string literals. (#499)
Update Creating Op doc to new Workspace::Output API (#492)
Add dali_kernels and dali_kernel_test libraries. (#451)
Tweak DaliOperatorTest (#485)
Add read_ahead option to file readers (#489)
Change TensorView backend in OF API
Make OperatorBase public and move InstantiateOperator to operator.h (#487)
Refactor GPU Reader Op (#483)
Alias typename in OF stub (#484)
Implementation of DaliOperatorTest (#404)
OF stub implementation (#478)
Update Docker build in the README (#479)
Add build script and runner docker file (#236)
Proper affinity handling (#471)
Add Boost info to Readme.rst (#475)
Remove default info (#473)
Add options for COCO reader (#469)
Add per-operator presize hints to stage output queues. (#466)
Add test to check if DALI whl bundles all neccessary libs it links to (#461)
Per-operator buffer presizing. (#439)
dali::any - almost complete implementation of std::any. (#459)
Add Python 3.7 DALI build (#455)
Update a WS::Output call in debug mode (#458)
Change nvcc invocation in CMake to dry run (#457)
Make *Workspace::Output return type non-const ref (#449)
Generalize -gencode flags generation (#450)
Makes files to be mmaped instead of reading (#406)
Add support for step, stride & shuffling in SequenceReader, filter extensions for file readers (#363)
Improve the random generator initialization (#430)
Kernel API example + tests (#386)
Refine builds and test (#437)
Add clean catch of Reader's prefetch error by Python thread (#429)
API for optical flow (#434)
Add cmake WERROR option description in the readme. (#441)
Add dtype argument for VideoReader (#436)
Get Tensor(List)View from Tensor(List) (#409)
Remove opencv package from TensorFlow test (#433)
Color space conversion operators (#395)
Make files read ordered inside class for file loader (#415)
Change TensorReference to EdgeReference for code clarity (#411)
Rename nvidia-dali-tf-plugin package to include build id (#414)
Add layout to VideoReader (#413)

Breaking API changes

None

Known issues:

New Video reader operator requires NVIDIA VIDEO CODEC SDK support in the platform. NVIDIA GPU Cloud (NGC) optimized containers lacks this functionality in the default configuration prior to 19.01. To enable it please run the container with the ‘video’ capability enabled, ie.:
-e "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video"
There is no clear distinction in the documentation between operators supporting Video sequences and images

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.7.0

Or use direct download links:

FFmpeg source code:

This software uses code of FFmpeg licensed under the LGPLv2.1 and its source can be downloaded here

Assets 2

23 Jan 22:57

JanuszL

v0.6.1

d5e1c73

DALI v0.6.1 Pre-release

Pre-release

Bug fixes

Deliver exactly 1 epoch from DALIGenericIterator in pyTorch (#391)
Avoid adding MakeContiguous twice for the same output (#405)
Stop returning memory allocated with new from the C API (#396)
Add missing argument in TF ResNet demo README (#397)
Fix error message formatting in python (#387)
TensorView fixes. (#378)
Fix spelling (#372)
Fix build warnings in the video loader operator. (#368)
Fix device selection in PipelinedExecutor. (#361)
Blacklist operators that should not be exposed (#355)

Improvements

Add optional resize_longer argument to resize op. Extend COCOReader op to optionally return img_ids. Add optional min_canvas_size argument to paste op. (#402)
Make TF plugin to be compiled during installation (#398)
Add building DALI against nightly TF release (#390)
TensorWrapper implementation for testing (#401)
Add notebook example for VideoReader (#376)
ArgumentKey impl for Testing API (#383)
Kernel API design (#330)
Change names from yuv to ycbcr in VideoReader for clarity (#385)
Plugin Manager (#364)
Make mixed in docs ops table start with capital letter (#384)
Apply modernize-use-override (#381)
Add gpu box encoder (#371)
Add auto_reset parameter for MXNet and PyTorch iterators (#379)
Move operators to separate, static libdali_operators.a lib (#374)
Testing API Proposal (#338)
Add non-owning Tensor datatypes for kernels (#346)
Add Step and multiple containers support in VideoReader (#360)
Add guards for CUuid for cuda 10 (#375)
Dynamic linking for CUDA driver api (#373)
Add normalized and image_type arguments for VideoReader (#351)
Change nvcuvid link to dyn + hint for FFmpeg (#370)
Add fallback for nvJPEG to the CPU (#365)
Add new, faster RapidJSON parser (#339)
Change cpp #ifdef to #if in VideoReader (#359)
Add PyTorch and MXNet example with various readers (#343)
Make '-werror' optional in CMake (#353)
Add description of commit message style to Contributing guide (#350)
Remove semicolons in plugins (#345)

Breaking API changes

PyTorch iterator returns exact number of samples per epoch, so last batch could be smaller if epoch size is not divisible by the batch size. To keep the old behavior when data is wrapped up use “stop_at_epoch” argument

Known issues:

New Video reader operator requires NVIDIA VIDEO CODEC SDK support in the platform. NVIDIA GPU Cloud (NGC) optimized containers lacks this functionality in the default configuration prior to 19.01. To enable it please run the container with the ‘video’ capability enabled, ie.:
-e "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video"

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.6.1

Or use direct download links:

FFmpeg source code:

This software uses code of FFmpeg licensed under the LGPLv2.1 and its source can be downloaded here

Assets 2

20 Dec 01:55

JanuszL

v0.6.0

c8d9d72

DALI v0.6.0 Pre-release

Pre-release

Bug fixes

Fix problem with GPU DALI operator in the TensorFlow evaluated on the CPU (#335)
Fix obtaining color augmentation per sample (#337)
Fix command line in the TF Example README (#327)
Fix issues reported by valgrind (#308)
Fixes in BBFlip and consistency in bbox format (#300)
Fix line endings from CRLF to LF (#315)
Fix for race condition on Displacement Filter Impl (#311)
Fixed slice coordinates calculation (#312)
Fix validation pipeline for accuracy in TF example (#305)
Fix ResizeAttr usage in Resize operator (#299)
Skip 0 sized images in the MxNet reader. (#303)
Fix tfrecord2idx compatibility for python3 (#288)
Fix clang build (#276)
TF Example: updates TF op call with the right args (#295)

Improvements

Add TensorFlow RN50 demo to the Sphinx documentation (#352)
Add rst doc for ssd pytorch example (#349)
Added SSD training example (#342)
Add base of VideoReader (#316)
Implement SequenceCrop Operator for CPU (#283)
Pytorch/MXNet plugin - use dictionary of categories (#282)
adding ifdef for jpeg turbo support (#341)
Remove NonConstRef check in cpplint.py (#340)
Add supported device by every operator to docs (#326)
Added cpu box encoder for SSD support (#325)
Alligns TensorFlow operator supported types with what DALI can provide (#332)
Sequence Reader for extracted frames (#281)
Add CPU operator for TensorFlow plugin with an example (#322)
Increase num_threads in TF RN example (#321)
Support for multiple labels in MXNet reader (#319)
Bbox crop label filtering (#320)
Add a wrapper for TensorFlow plugin to make pipeline serialization transparent (#310)
Added bounding box flipping on GPU. (#314)
Minimal changes for CPU CropMirrorNormalize (#257)
Added bounding box paste for CPU backend. (#294)
Add ability to return CPU TensorList as numpy array (#304)
Remove debug prints from async_pipelined_executor (#298)
Documentation Badge Added (#291)
TF Example: specify steps arg to tf.Estimator.evaluate for ending the evaluation (#293)
GPU version of RandomBBoxCrop and Slice (#269)
Printing the right error message in OperatorInstance init (#286)
Remove stat call during file discovery in the reader (#275)
Make libjpegturbo root dir hint preceding pkgconfig (#285)
Make Dali linking with static libprotobuf if possible (#284)
Make TensorFlow DALI operator able to return the arbitrary number of outputs (#265)

Breaking API changes

DALI TensorFlow operator has new API - please check examples for the reference
PyTorch and MXNet python iterators API has changed - please check examples for the reference

Known issues:

New Video reader operator requires NVIDIA VIDEO CODEC SDK support in the platform. NVIDIA GPU Cloud (NGC) optimized containers lacks this functionality in the default configuration prior to 19.01. To enable it please run the container with the ‘video’ capability enabled, ie.:
-e "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video"

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.6.0

Or use direct download links:

FFmpeg source code:

This software uses code of FFmpeg licensed under the LGPLv2.1 and its source can be downloaded here

Assets 2

26 Nov 23:26

JanuszL

v0.5.0

235ae80

DALI v0.5.0 Pre-release

Pre-release

Bug fixes

Fixed docstring of prefetch queue depth (#263)
Add checking if there is any supported jpeg inside batch for batch decode (#245)
Add enforce for num_shards > shard_id (#246)
Make jupyter example fully compatible with python3 (#233)
Add .clang-format for Google C++ style guide (#210)
Update MxNet version in the README (#204)
Fixed race condition in AsyncPipelinedExecutor destructor (#271)

Improvements

Increased seed size to int64 (#252)
SSD support for COCO reader (#196)
Move PyTorch example training pipeline to the CPU (#247)
Add version variable to init (#250)
Tiff decoding (#248)
Object orienting image module (#222)
Changing Tensor::ntensor() return type (#242)
Type safe reader with user-provided custom-type handling (#232)
Add pipelined execution completion callback setter (#226)
Add better errors in decoders (#218)
Make ABI test working with installed whl (#220)
Added new examples to online docs (#270)
Added Clang to Dockerfile.deps and pass CC and CXX as arguments (#264)
Added example demo for ResNet with TensorFlow and DALI (#251)
Remove unused private field (#205)

Breaking API changes

Random seed type changed from INT to INT64, therefore, serialized pipelines from versions prior to 0.5 are not compatible with the current DALI version.

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.5.0

Or use direct download links:

Assets 2

07 Nov 20:56

JanuszL

v0.4.1

2a5e14c

DALI v0.4.1 Pre-release

Pre-release

Bug fixes

Fixed TF 1.11 and TF 1.12 compatibility (#237)
Fixed PyTorch iterator for multi-GPU (#239)

Improvements

Made jupyter tests executing inplace (#255)
Removed hardcoded pipeline length in PipelinedExecutor (#239)
Adjusted PyTorch example to use new nvJpeg API (#239)
Remove double-buffering on the MXNet side (#258)

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.4.1

Or use direct download links:

Assets 2

31 Oct 22:14

JanuszL

v0.4.0

7d3d9f8

DALI v0.4.0 Pre-release

Pre-release

Bug fixes

Fixed ability to use the same output from the support operator by CPU and GPU stage
Removed inconsistent-missing-override Clang warning (#197)
Fixed clang warnings in half.hpp and tests (#194)
Resolved conflicting build dirs (#189)
Removed the redundant imports and spaces in pytorch example (#190)
Fixed table in README.rst
Fixed reporting of the end of epoch in MXNet and pyTorch plugins (#180)
Fixed parsing of JPEG headers (#175)
Maked assigning of the classes to discovered dirs by file reader base on alphabetic order.
Fixed BMP size reading
Moved wait in multiple input sets case to the common place to guard against problem reoccurring in newly added ops
Removed batch_size_ from CoinFlip operator (#152)
Fixed corruption in MXNet reader when image is split between multiple records (#216)

Improvements

Added bounding box mirror operator (#188)
Added random crop for SSD (#176)
Added COCO dataset reader (#110)
Removed visibility of all non DALI symbols and test if ABI is clean (#191)
Added support for pad in MXNet plugin (#186)
Reduced memory usage (#195)
Made libprotobuf internal to DALI only (#179)
Added CUDA 10 based build (#178)
Made use epoch_size instead of hardcoded values (#174)
Added random paste operator (#105)
Added clang build (#163)
Added png in testing pipeline, add some of tiff routines
Made files to be copied after build not only when libdali is rebuild
Put common test code into one file
Upgraded OpenCV to 3.4.3 (#168)
Added color-twist operator (#164)
Changed MxNet to 1.3.0 no-beta (#183)
Added better sharding when number of shards does not divide the dataset size evenly (#181)
Updated google benchmark to v1.4.1 + several fixes (#182)
Added CPU versions of Crop/CropCastPermute operators (#148)
Added info about posting questions and problems
Updated PyTorch example to be alligned with the reent APEX release (#206)
Improved load balancing nvJPEG work (#217)
Updated nvJPEG to 0.2.0 version (#227)
Added fine grained control over output buffers in the pipeline (#212)

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.4.0

Or use direct download links:

Assets 2

26 Sep 17:50

JanuszL

v0.3.0

74d9b58

DALI v0.3.0 Pre-release

Pre-release

Bug fixes

Adjusted PyTorch Dali pipeline to be similar to MXNet example (#107)
Add CPU fallback for BMP images and conscious fail for GIF (#124)
Enable FileReader shuffling for GPU0 (#134)
Fix squeeze for tensor with 1 element
Fix segfault in MXNetReader when given bad path to index file
Increase timeout, parametrize Python version in Jupyter tests (#126)
Fix segfault in Filereader if directory does not exist.
Update Workspace docstrings (#111)
Allow pkg_config to fail in the search for JpegTurbo
Fixed wrong rewind in TFRecord reader (#167)

Improvements

Added CPU version of Resize operator (#127)
Added Caffe reader to TF multi reader example (#103)
Added filtering extensions that FileReader can read (#137)
Made DALI understand float16 input from python
Added float16 as possible output type to python
Added flip operator (#130)
Added 'at' method to TensorListGPU (#131)
Refactored tests (#91)
Shortened git SHA in the Sphinx docs to 7 chars (#108)
Made files to be copied during build into build_dir. (#87)
Added links to GTC presentation to README
Reduced number of pinned memory allocations (#169)

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.3.0

Or use direct download links:

Assets 2

27 Aug 22:40

JanuszL

v0.2.0

2319d24

DALI v0.2.0 Pre-release

Pre-release

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:

Assets 2

31 Jul 00:50

cliffwoolley

v0.1.2

d99027d

DALI v0.1.2 Pre-release

Pre-release

Bug fixes

Fix compatibility with TensorFlow 1.9 (#52)
Update to nvJPEG v0.1.2 to fix batched decoding when a batch contains both grayscale and color images (#79)

Improvements

Add Tensorflow 1.7 support (#24)
Better overlap when using DALI with multi-GPU in MXNet and pyTorch (#76)

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.1.2

Or use direct download links:

Assets 2

Releases: NVIDIA/DALI

DALI v0.8.0

Bug fixes

Improvements

Breaking API changes

Known issues:

Binary builds

DALI v0.7.0

Bug fixes

Improvements

Breaking API changes

Known issues:

Binary builds

DALI v0.6.1

Bug fixes

Improvements

Breaking API changes

Known issues:

Binary builds

DALI v0.6.0

Bug fixes

Improvements

Breaking API changes

Known issues:

Binary builds

DALI v0.5.0

Bug fixes

Improvements

Breaking API changes

Binary builds

DALI v0.4.1

Bug fixes

Improvements

Binary builds

DALI v0.4.0

Bug fixes

Improvements

Binary builds

DALI v0.3.0

Bug fixes

Improvements

Binary builds

DALI v0.2.0

Bug fixes

Breaking API changes

Improvements

Binary builds

DALI v0.1.2

Bug fixes

Improvements

Binary builds