NVIDIA/DALI v2.0.0

DALI v2.0.0

Repository: NVIDIA/DALI

Tag: v2.0.0

Published: 2026-03-03T16:32:22Z

Prerelease: no

Release notes: Key Features and Enhancements --- This DALI release includes the following key features and enhancements:

• Improved DALI dynamic mode:
• Added asynchronous and deferred execution (#6210, #6204, #6124, #6216, #6152)
• Improved multithreading, supporting no-gil Python 3.13t and Python 3.14. (#6200, #6174, #6136, #5884, #6201, #6202, #6164, #6142)
• Added TorchData integration (#6198)
• Improved usability and interoperability with other libraries (#6131, #6182, #6188, #6172, #6179, ##6143)
• Improved execution device specification and handling (#6194, #6165)
• Improved examples and documentation (#6140, #6189, #6170)
• Added contrast-limited adaptive histogram equalization (CLAHE) operator (#6069)
• Thank you @tonyreina for your contribution!
• Added support for CUDA 13.1U1 (#6163)
• Improved slice, full, zeros, ones operators (#6159, #6109, #6169)

Fixed Issues ---

• Added DALI_MAX_IMAGE_SIZE env var to limit decoded image size in CPU and GPU decoders. (#6208)
• Fiedx out-of-bounds reads in image format detection. (#6207)
• Fixed audio decoder handling of files over 2GB. (#6199)
• Fixed random crop operators conforming to new random state passing. (#6190)
• Fixed displacement filter occasionaly returning corrupted data due to missing synchronization. (#6168)
• Replaced pickle with JSON in DALI checkpoints format. (#6154)
• Fixed slicing with negative stride. (#6161)
• Fixed memory leak (#6153) in fixed-size poll allocator. (#6158)

Improvements ---

• Add a function that purges operator instance cache for an EvalContext. (#6216)
• Add TorchData integration in dynamic mode and create examples (#6198)
• Add exception propagation for deferred and async execution (#6210)
• Update VERSION to 2.0.0
• Add ndd.Stream.synchronize method and implement EvalMode.sync_full (#6204)
• ndd vs fn tests part 1: utils and automated tests (#6191)
• Add multithreading guide for dynamic mode (#6200)
• Limit thread count to 32 in ndd multithreading tests. (#6201)
• Fix the conda tests in free threaded env (#6202)
• Improved device handling. Remove mixed device. Make DALI work without GPU (#6194)
• Replace deprecated pkg_resources.require with packaging/importlib-based alternative (#6196)
• Add first class batch to tensor conversion with optional padding (#6182)
• Make DALI Dynamic and Pipeline APIs two separate sections (#6189)
• Documentation for ndd.DType (#6170)
• Add multithreaded tests for dynamic mode (#6164)
• Exclude ndd readers from operator docs (#6173)
• Update DALI_DEPS: libsound, openssl (#6185)
• Broadcast lists of scalars into any shape in ArgValue. (#6188)
• Add per-thread stream. Rework stream semantics. Add a real Python stream class. (#6174)
• Hide deprecated operators from documentation (#6180)
• Fix jupyter tests (#6184)
• Move to CUDA 13.1U1 (#6163)
• Improve the interoperability of dynamic mode with PyTorch (#6172)
• Remove debug mode references from documentation (#6175)
• Create examples showing ndd usage (#6140)
• Add __str__ and __repr__ generic formatting utilites (#6167)
• Add layout handling to full, zeros, ones operator family (#6159)
• Make EvalMode.eager the default (#6152)
• Default num_threads and stream for dynamic API (#6165)
• Dependency update 2026-02 (#6155)
• Unexperimentalize operators (#6134)
• Adjust performance threshold for dynamic mode in TL1_decoder_perf (#6160)
• Update PyTorch Lightning example notebook (#6145)
• Fix O_DIRECT expected to read number of bytes numpy reader (#6148)
• Add pkg_resources compatibility fallback using importlib.metadata (#6144)
• Relax numpy version constraints (#6137)
• Move inflate from experimental to decoders, fix doc hiding for ndd, bump deprecation cut-off for ndd to 2.0 (#6141)
• Support asynchronous execution in dynamic mode. (#6124)
• Fix conda free-threaded Python build (#6142)
• Add experimental Python 3.14 support and remove Python 3.9 (#6136)
• Add dynamic mode RN50 pipeline to hw decoder bench (#6115)
• Add --no-build-isolation flag to cocoapi pip install (#6132)
• Improve interoperability of ndd tensors with third party libraries (#6131)
• Fix cuFFT linking to respect BUILD_FFTS option (#6135)
• Enable cross-device copy with cudaMemcpyPeerAsync. (#6130)
• Add support for Python 3.13t (#5884)
• Upgrade GitHub Actions for Node 24 compatibility (#6133)
• Add PyTorch DataLoader Evaluator plugin (#6112)
• Hide ops API (#6123)
• Add the information of deprecation version origin (#6127)
• Change the defaults for build options in docker/build_helper.sh (#6129)
• Allow non-copying TensorList construction from a list of tesnors. (#6128)
• Move all internal dnn API class/object public members to private (#6120)
• Support more border modes in Slice (#6109)
• Contrast-limited adaptive histogram equalization (CLAHE) to DALI image operators (#6069)
• Add USE_PREBUILD_PYBIND11 option to use system pybind11 (#6117)
• Drop Python 3.9 support (#6119)
• Move to cuda 13.1 (#6116)
• Remove old eager mode. (#6113)

Bug Fixes ---

• Allocate CPU outputs in host order. Reset workspace order to host whe… (#6217)
• Fix workspace stream handling in CPU imgcodec decoders. (#6215)
• Add missing pillow installation in TL0_self_test_Ampere test (#6213)
• Add DALI_MAX_IMAGE_SIZE env var to limit decoded image size in CPU and GPU decoders (#6208)
• Accept more types in BBoxRotate input_shape argument. (#6212)
• Fix out-of-bounds reads in image format detection (#6207)
• Rework instance cache. (#6206)
• Use notify_all instead of notify for EvalMode.async (#6205)
• Fix dynamic mode pyi files (#6187)
• Add sharding support to dynamic mode Reader (#6197)
• Fix audio decoder to support files over 2GB (#6199)
• Improve type hints in dynamic mode (#6183)
• Safely calling Operator._init_spec in invocation.py (#6193)
• Rework random crop operators (#6190)
• Fix batch creation from unevaluated tensors (#6178)
• Forbid passing axes to expand_dims as an input. (#6181)
• Fix stream handling in tensor join when called from Dynamic mode. (#6171)
• Fix batch construction from a tensor and layout. Add ability to change batch layout in batch and as_batch. (#6179)
• Add handling of default layouts in standalone operator calls. (#6176)
• Prevent deadlocks with asynchronous execution (#6177)
• Set the device of ndd tensor slices (#6169)
• Add missing __syncthreads in displacement filter. (#6168)
• Use JSON in pipeline checkpointing (#6154)

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