Comments (3)
Hello @aaronchan90 ,感谢您对 Forward 项目的支持。
Forward 和 NV 提供的 trtorch、tf-trt 等项目,它们解决的问题都是相同的,即实现模型的部署和推理。
对于您提出的问题,我总结了以下几点:
1、Forward 实现了一次编译即能同时支持四种深度学习框架的推理(TF,Torch,Keras,ONNX);
2、Forward(除 fwd_onnx 以外)自定义了 TensorRT 网络层,这会使得和 NV 自身推理项目的支持范围不同;
3、fwd_torch、fwd_tf 和 trtorch、tf-trt 支持的算子范围不同,同时,我们也对部分基础算子进行了优化,提升推理性能;
4、对于同一框架,假设算子范围和性能相同的前提下,可以理解为对应的两个项目是“相同的“。
欢迎在使用的过程中继续交流!
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- reflectPad存在两个问题 HOT 9
- 编译fwd-pytroch时提示缺少头文件 HOT 1
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