Nano: fix some typos of web documentation (#7113)

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Henry Ma 2023-01-03 10:28:32 +08:00 committed by GitHub
parent 189a2f5179
commit 614d2ab289
2 changed files with 2 additions and 2 deletions

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@ -68,7 +68,7 @@ You can simply append the following part to enable your [ONNXRuntime](https://on
```python
# step 4: trace your model as an ONNXRuntime model
# if you have run `trainer.fit` before trace, then argument `input_sample` is not required.
ort_model = InferenceOptimizer.trace(model, accelerator='onnruntime', input_sample=x)
ort_model = InferenceOptimizer.trace(model, accelerator='onnxruntime', input_sample=x)
# step 5: use returned model for transparent acceleration
# The usage is almost the same with any PyTorch module

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@ -66,7 +66,7 @@ class LitResnet(LightningModule):
def __init__(self, learning_rate=0.05, num_processes=1):
super().__init__()
self.save_hyperparameters()
self.save_hyperparameters('learning_rate', 'num_processes')
self.model = create_model()
def forward(self, x):