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# Inception V2V3
## Reference
- 2015 **Inception V2 & V3** Rethinking the Inception Architecture for Computer Vision [[paper](https://arxiv.org/pdf/1512.00567.pdf)]
- [Inception结构](https://baike.…
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Hi
Thank you for this amazing work. The inception V3 works really well.
Could you please specify how to change the model to Resnet 50 or VGG 16?
when I change it to ResNet I get the follow…
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This issue is to describe compiler frontend typical positve usage and negative usage.
- positive usage: typical usage of our compiler frontend with supported models.
- negative usage: compiler front…
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Like current `luci-value-test` takes long time to test and #12071 is to provide alternative method to reduce time, it would be wonderful if we could reduce test duration somehow.
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### 🐛 Describe the bug
We are having issues with one of the latest commits on functorch. Namely [PR 85301](https://github.com/pytorch/pytorch/pull/85301) is breaking our TIMM benchmark with CUDA Grap…
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Below are models that we still need to implement
# Will implement
These are models for which we are actively seeking implementations/weights.
## Model implementations
- [x] VGG
- [x] ResN…
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### Test model
- Inception v3
- Inception v4
- mobilenet v1_1.0_224
- Test models by #3886
### Test setting
- Base code
- 57b87a07753ca2b3ced20c437a39c449acc92285 + #4050 (build without…
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I think in the mobilenet paper, it is mentioned that they trained in a similar way as the inception v3. In the inception V3 paper, they used a learning rate of learning rate decay of 0.94 every 2 epoc…
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This issue is to describe compiler frontend typical positve usage and negative usage.
- positive usage: typical usage of our compiler frontend with supported models.
- negative usage: compiler front…
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**System information**
- What is the top-level directory of the model you are using: Not applicable
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): …