For more details, see the 8.5 GA release notes for new features added in TensorRT 8.5
- Added the
RandomNormal,RandomUniform,MeanVarianceNormalization,RoiAlign,Mod,Trilu,GridSampleandNonZerooperations - Added native support for the
NonMaxSuppressionoperator - Added support for importing ONNX networks with
UINT8I/O types
- Fixed an issue with output padding with 1D deconv
- Fixed an issue when flattening 1D tensors
- Fixed an issue when parsing String attributes from TRT plugins
- Fixed an issue when importing
Ifsubgraphs with shared initializer names - Fixied an issue when importing
Loopsubgraphs withINT_MAXtrip counts
- Removed
onnx2trtbinary. See the README.md for alternative binaries to run ONNX model with TensorRT.
- Updated TensorRT version to 8.4.2
- Updated ONNX submodule version to 1.12
- Updated operators support documentation
- Fixed handling of no-op
Flattenoperations - Fixed
allowZerologic in Reshape operation
- Deprecated
onnx2trtbinary. This will be removed in the next release of TensorRT.
For more details, see the 8.4 GA release notes for new features added in TensorRT 8.4
- Added native FP16 support for importing and manipulating FP16 initializers
- Added support for
Shrink - Added support for
Xor - Added dynamic shape support for
ArgMaxandArgMin - Added dynamic shape support for
Rangefor floating point types
- Fixed an issue in tensor name scoping in ONNX models with nested subgraphs
- Fixed misc issues when dealing with empty tensors
- Fixed the operations in the
Celuimporter function - Removed unnecessary reshapes in the
GEMMimporter function
See the 8.2 EA release notes for new features added in TensorRT 8.2.
- Removed duplicate constant layer checks that caused some performance regressions
- Fixed expand dynamic shape calculations
- Added parser-side checks for Scatter layer support
- Added support for the following ONNX operators:
- Einsum
- IsNan
- GatherND
- Scatter
- ScatterElements
- ScatterND
- Sign
- Round
- Updated
GatherandGatherElementsimplementations to natively support negative indices - Updated
Padlayer to support ND padding, along withedgeandreflectpadding mode support - Updated
Iflayer with general performance improvements.
- Rehauled resize operator, now fully supporting the following modes:
- Coordinate Transformation modes:
half_pixel,pytorch_half_pixel,tf_half_pixel_for_nn,asymmetric, andalign_corners - Modes:
nearest,linear - Nearest Modes:
floor,ceil,round_prefer_floor,round_prefer_ceil
- Coordinate Transformation modes:
- QuantizeLinear/DequantizeLinear updates:
- Added support for tensor scales
- Added support for per-axis quantization
- Added support for multi-input ConvTranpose
- Added support for generic 2D padding
- Added experimental support for
NonMaxSuppression
- Moved
RefitMapAPI to core TensorRT. - Added Datatype column to operators.md
- Added library only build target #659
- Added support for negative gather indices #681
- Added support for
DOUBLE-typed inputs and weights through downcast to float #674 - Added support for optional plugin fields in FallbackPlugin path #676
- Updated license #657
- Fixed index offset calculation in GatherElements #675
- Clarified dynamic shape support for ReverseSequence
- Added opset13 support for
SoftMax,LogSoftmax,Squeeze, andUnsqueeze - Added support for the
EyeLikeoperator - Added support for the
GatherElementsoperator
- Added support for the
ReverseSequenceoperator #590 - Updated
parse()andsupportsModel()API calls with an optionalmodel_pathparameter to support models with external weights #621 - Added support for the
Celuoperator - Added support for the
CumSumoperator - Added support for the
LessOrEqualoperator - Added support for the
LpNormalizationoperator - Added support for the
LpPooloperator - Added support for the
GreaterOrEqualoperator - Added support for dynamic inputs in
onnx_tensorrtpython backend - Added FAQ section for commonly asked questions
- Fixed relative path imports for models with external weights [#619]onnx#619
- Fixed importing loops operators with no loop-carried depedencies #619
- Worked around unsupported BOOL concats through casting #620
- Fixed compilation error with GCC9 #568
- Removed
onnx_tensorrt/config.pyas it is no longer needed
- Added
setup.pyto properly installonnx_tensorrtpython backend - Added 4D transpose for ONNX weights #557
- Fixed slice computations for large slices #558
- Added support for parsing large models with external data
- Added API for interfacing with TensorRT's refit feature
- Updated
onnx_tensorrtbackend to support dynamic shapes - Added support for 3D instance normalizations #515
- Improved clarity on the resize modes TRT supports #512
- Added Changelog
- Unified docker usage between ONNX-TensorRT and TensorRT.
- Removed deprecated docker files.
- Removed deprecated
setup.py.