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wang-xinyu 2020-02-21 16:23:15 +08:00
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@ -8,17 +8,12 @@ TensorRTx has a brother project [Pytorchx](https://github.com/wang-xinyu/pytorch
## Test Environment
Jetson TX1
1. Jetson TX1 / Ubuntu16.04 / cuda9.0 / cudnn7.1.5 / tensorrt4.0.2 / nvinfer4.1.3
Ubuntu16.04
2. GTX1080 / Ubuntu16.04 / cuda10.0 / cudnn7.6.5 / tensorrt7.0.0 / nvinfer7.0.0
cuda9.0
Currently, TX1 ans x86 GTX1080 were tested. trt4 api were using, some api are deprecated in trt7, but still can compile successfully.
cudnn7.1.5
tensorrt4.0.2/nvinfer4.1.3
Currently, I only test it on TX1, But I think it will be totally OK on TX2 with same software version. And also it will be easy be ported to x86.
## Models
@ -32,7 +27,7 @@ Following models are implemented, each one also has a readme inside.
|[inception](./inceptionv3)| Inception v3 |
|[mnasnet](./mnasnet)| MNASNet with depth multiplier of 0.5 from the paper |
|[mobilenet](./mobilenetv2)| MobileNet V2 |
|[resnet](./resnet)| resnet-18 and resnet-50 are implemented |
|[resnet](./resnet)| resnet-18, resnet-50 and resnext50-32x4d are implemented |
|[shufflenet](./shufflenetv2)| ShuffleNetV2 with 0.5x output channels |
|[squeezenet](./squeezenet)| SqueezeNet 1.1 model |
|[vgg](./vgg)| VGG 11-layer model |