Paddle2ONNX v1.0.0

What's Changed

• Fix quantize OP Matmul and Relu by @yeliang2258 in #788
• Add partial_sum and partial_concat support by @yeliang2258 in #791
• Add temporal_shift support by @yeliang2258 in #792
• Fix multiclass_nms by @yeliang2258 in #794
• Keep input/output same order with paddle by @jiangjiajun in #789
• Fix gather aixs bug of nms by @yeliang2258 in #795
• Add leaky_relu support in quantize model by @yeliang2258 in #797
• Add scatter_nd_add op support by @yeliang2258 in #800
• Add conv3d and pool3d support, fix a bug in tile by @yeliang2258 in #798
• Add quantize model related doc by @yeliang2258 in #801
• Add ONNX util function by @jiangjiajun in #806
• Add Paddle2Caffe under Contrib by @ltcs11 in #799
• Add Paddle model util function by @jiangjiajun in #808
• Support operator export as custom op by @jiangjiajun in #814
• Enhance OnnxReader by @jiangjiajun in #816
• Fix bug in PaddleReader by @jiangjiajun in #817
• Support remove multiclass_nms by @jiangjiajun in #821
• Add deploy backend option and TRT backend support for quantize model by @yeliang2258 in #819
• Add bilinear_interp OP by @yeliang2258 in #829
• Fix quantize model export for TRT backend by @yeliang2258 in #830
• Add take_along _axis OP support by @yeliang2258 in #831
• Support read parameters of nms operator by @jiangjiajun in #834
• Modify install directory on windows by @jiangjiajun in #835
• Add clip extra in test by @yeliang2258 in #822
• Set enable_dev_version to True by default by @yeliang2258 in #836
• Fix windows build bug by @yeliang2258 in #839
• Fix ONNX reader while initializer exists by @jiangjiajun in #845
• [OpAttr]Support to parse Attribute with type(Variable) in 2ONNX by @Aurelius84 in #854
• Update document by @jiangjiajun in #842
• separate setup for Paddle2Caffe by @ltcs11 in #843
• Add linspace support by @yeliang2258 in #860
• Add group_norm support by @yeliang2258 in #863
• Add top_k OP support by @yeliang2258 in #861
• Support new ir of paddle while by @jiangjiajun in #865
• Make roi of interploate be empty by @jiangjiajun in #867
• Replace Explicit Quantization to Implicit Quantization for TensorRT backend by @yeliang2258 in #856
• Update compile.md to support previous version ONNXRuntime by @jiangjiajun in #873
• Update compile.md by @jiangjiajun in #874
• Add index_select support by @yeliang2258 in #876
• Rename paddle2caffe by @jiangjiajun in #886
• Enhance ONNX reader to get input/output information from ONNX model by @jiangjiajun in #885
• Add RKNN deploy backend support for quantized model by @yeliang2258 in #887
• Add grid_sampler op convert support by @yeliang2258 in #889

New Contributors

• @ltcs11 made their first contribution in #799
• @Aurelius84 made their first contribution in #854

Full Changelog: v0.9.9...v1.0.0

Paddle2ONNX v1.0.0rc4

What's Changed

• Support read parameters of nms operator by @jiangjiajun in #834
• Modify install directory on windows by @jiangjiajun in #835
• Add clip extra in test by @yeliang2258 in #822
• Set enable_dev_version to True by default by @yeliang2258 in #836
• Fix windows build bug by @yeliang2258 in #839
• Fix onnx reader while initializer exists by @jiangjiajun in #845
• [OpAttr]Support to parse Attribute with type(Variable) in 2ONNX by @Aurelius84 in #854
• Update document by @jiangjiajun in #842
• Separate setup for Paddle2Caffe by @ltcs11 in #843
• Fix test by @yeliang2258 in #864
• Add linspace support by @yeliang2258 in #860
• Add group_norm support by @yeliang2258 in #863
• Add top_k OP support by @yeliang2258 in #861
• Support new ir of paddle while by @jiangjiajun in #865
• Make roi of interploate be empty by @jiangjiajun in #867
• Replace Explicit Quantization to Implicit Quantization for TensorRT backend by @yeliang2258 in #856

New Contributors

• @Aurelius84 made their first contribution in #854

Full Changelog: v1.0.0rc2...v1.0.0rc4

Paddle2ONNX v1.0.0rc2

What's Changed

• Add deploy backend option and TRT backend support for quantize model by @yeliang2258 in #819
• Fix quantize OP Matmul and Relu by @yeliang2258 in #788
• Add partial_sum and partial_concat support by @yeliang2258 in #791
• Add temporal_shift support by @yeliang2258 in #792
• Fix multiclass_nms by @yeliang2258 in #794
• Keep input/output same order with paddle by @jiangjiajun in #789
• Fix gather axis bug of nms by @yeliang2258 in #795
• Add leaky_relu support in quantize model by @yeliang2258 in #797
• Add scatter_nd_add op support by @yeliang2258 in #800
• Add conv3d and pool3d support, fix a bug in tile by @yeliang2258 in #798
• Add quantize model related doc by @yeliang2258 in #801
• Add onnx util function by @jiangjiajun in #806
• Fix quantize bugs by @yeliang2258 in #804
• Add Paddle2Caffe under Contrib by @ltcs11 in #799
• Add Paddle model util function by @jiangjiajun in #808
• Support operator export as custom op by @jiangjiajun in #814
• Enhance OnnxReader by @jiangjiajun in #816
• Fix bug in PaddleReader by @jiangjiajun in #817
• Support remove multiclass_nms by @jiangjiajun in #821
• Add bilinear_interp OP by @yeliang2258 in #829

New Contributors

• @ltcs11 made their first contribution in #799

Full Changelog: v0.9.9...v1.0.0rc2

Paddle2ONNX v1.0.0rc

What's Changed

• Update ONNXRuntime to version 1.11.1 in ci test by @yeliang2258 in #787
• Fix quantize OP Matmul and Relu by @yeliang2258 in #788
• Add partial_sum and partial_concat support by @yeliang2258 in #791
• Add temporal_shift support by @yeliang2258 in #792
• Fix multiclass_nms by @yeliang2258 in #794
• Keep input/output same order with paddle by @jiangjiajun in #789
• Fix gather aixs bug of nms and add nms test by @yeliang2258 in #795
• Add leakyrelu OP support in quantize model by @yeliang2258 in #797
• Add conv3d, pool3d OPs support and fix a bug in tile by @yeliang2258 in #798
• Add scatter_nd_add OP support by @yeliang2258 in #800
• Add quantize model related doc and change abs to fabs by @yeliang2258 in #801

Full Changelog: v0.9.9...v1.0.0rc

Paddle2ONNX v0.9.9

What's Changed

• Fix bug of quantize by @yeliang2258 in #784

Full Changelog: v0.9.8...v0.9.9

Paddle2ONNX v0.9.8

What's Changed

• Add where_index operator by @jiangjiajun in #759
• Add eye operator support by @yeliang2258 in #763
• Add elementwise_floordiv operator support by @yeliang2258 in #770
• Add dot operator support by @yeliang2258 in #764
• Add gather_nd operator support by @yeliang2258 in #765
• Add norm operator support by @yeliang2258 in #766
• Add flip operator support by @yeliang2258 in #771
• Add p_norm operator support by @yeliang2258 in #769
• Add one_hot_v2 operator support by @yeliang2258 in #768
• Add instance_norm by @jiangjiajun in #778
• Add scatter operator support by @yeliang2258 in #767
• Add version to library by @jiangjiajun in #777
• Quantize model support @yeliang2258 in #761 #782
• Add more debug information while export ONNX by @zh794390558 in #775
• Fix README.md by @onecatcn in #783

New Contributors

• @zh794390558 made their first contribution in #775
• @onecatcn made their first contribution in #783

Full Changelog: v0.9.7...v0.9.8

Paddle2ONNX v0.9.7

What's Changed

• Remove older version code to legacy folder @jiangjiajun in #736
• Add survey notice to help collect feedback from users by @jiangjiajun in #739
• Set paddle.onnx.export use new version of Paddle2ONNX by @jiangjiajun in #740
• Modify export interface to solve ABI fault by @heliqi in #744
• Add silu support by @jiangjiajun in #745
• Fix LoadParamsFromMemoryBuffer warning by @heliqi in #751
• Fix multiclass nms by @yeliang2258 in #756

Full Changelog: v0.9.6...v0.9.7

Paddle2ONNX v0.9.6

What's Changed

• Make layer_norm similar with torch by @jiangjiajun in #718
• Add expand and expand_as op by @neonhuang in #713
• Add argsort and dist op by @neonhuang in #703
• Optmize layer norm conversion by @yeliang2258 in #728
• [Eager] Support eager data structure by @JiabinYang in #730
• Support faster-rcnn/mask-rcnn/cascade_rcnn/cascade_mask_rcnn by @neonhuang in #636
• Add unstack op by @yeliang2258 in #733

New Contributors

• @JiabinYang made their first contribution in #730

Full Changelog: v0.9.5...v0.9.6

v0.9.5

New operator

• Add rnn/gaussian_random/pad3d to support speech model by @jiangjiajun in #678
• Add 33 operators(activations, reduce) by @jiangjiajun in #679
• Add operator less_equal and greater_equal by @jiangjiajun in #680
• Add Topk_v2 op by @neonhuang in #521
• Add resize op test case by @neonhuang in #418
• Add Scatter op by @neonhuang in #565
• Assign / Assign_value op by @neonhuang in #520
• Add pow op by @neonhuang in #676
• Add flatten2 op and fill_constant_batch_size_like test case by @neonhuang in #698
• Fix gcc5.4 error by @heliqi in #674
• Update some op level by @jiangjiajun in #675
• Remove some deprecate warning and enable test for dev version by @jiangjiajun in #677
• Add data_norm and mul by @jiangjiajun in #701

Bug Fix

• Fix problem detected by testing by @jiangjiajun in #681
• Fix trilinear op bug by @neonhuang in #684
• Fix attr for yolo_box by @ming-ch in #690
• Fix conv2d by @jiangjiajun in #692
• Fix matmul by @jiangjiajun in #693
• Add optimization for mul_one and add_zero by @jiangjiajun in #708

New Contributors

• @ming-ch made their first contribution in #690

Paddle2ONNX v0.9.4

Experimental Feature

• A new version of Paddle2ONNX is integrated in v0.9.4, which will make conversion faster and also optimize the converted onnx model. You can enable the new feature with flag --enable_dev_version=True #669

Bug Fix

• Fix bug of shape inference while exporting OCR model #656
• Fix bug of box_coder under some onnx opset_version #667
• Fix bug of unsqueeze under some onnx opset_version #652

New Operators

• Support mish、eye and one_hot_v2 #663 #655