Paddle2ONNX v0.6

New Model Support

Support 2.0 model toolkit

• PaddleDetection: 8 models structure supported
• PaddleSeg: All the models are supported
• PaddleClas: All the models are supported
• PaddleOCR: Server and mobile ocr models are supported

New operators Support

• softplus
• elementwise_mod
• elementwise_floordiv
• p_norm
• depthwise_conv2d_transpose
• group_norm

Bug Fix

• fill_constant_batch_size_like
• multiclass_nms
• top_k_v2
• expand_v2
• assign_value
• deformable_conv
• prelu

paddle2onnx 0.5

This upgrade is mainly to support more official featured models, including PPYOLO, PPOCR, FasterRCNN, ERNIE and ViT. In addition, we have a more comprehensive coverage test for PaddleSeg and PaddleClas . For more detailed upgrade, refer to the following list:

• Support PPYOLO, FasterRCNN, PPOCR, and ERNIE. Full support to convert PaddleClas models, including ViT (Vision Transformer). Please refer to docs/en/model_zoo.md
• Optimize the prompt of OpMapper support status.
• fix bug the incorrect input order of the model, such as yolov3.
• When pool is adative and ksize is [1,1], use gobal_pool to map adative_pool.
• Add a lot of English documents.
• Add tutorial for converting dynamic computational graph to ONNX.

paddle2onnx 0.4

• support paddle dygraph model convert to ONNX.
• add op_mapper register function
• support convert Paddle model(not combined)
• add simple tutorial
• add op_list

Paddle - ONNX Convertor

Now support for convert Paddle Model to ONNX Opset 9, 10, 11. please use --onnx_opset to set opset_version of onnx you want to convert.

Add support for Paddle operators:

• swish
• floor
• uniform_random
• abs
• instance_norm
• clip
• tanh
• log
• pad2d
• prelu

Paddle - ONNX Convertor

Add more models for PaddlePaddle Fluid model to ONNX model convertor.

Supports the following models:

• SE_ResNet50_vd
• SqueezeNet1_0
• SE_ResNext50_32x4d
• Xception41
• VGG16
• InceptionV4
• YoloV3

Paddle - ONNX Convertor

First release of the PaddlePaddle Fluid model to ONNX model convertor. Also called a frontend.

Supports the following models:

• fit_a_line
• recognize_digits
• VGG16 & ResNet50
• MobileNet
• SE_ResNeXt