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Fix usage example #3337

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Jan 2, 2025
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Fix usage example #3337

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6 changes: 3 additions & 3 deletions docsrc/user_guide/saving_models.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ Here's an example usage
model = MyModel().eval().cuda()
inputs = [torch.randn((1, 3, 224, 224)).cuda()]
# trt_ep is a torch.fx.GraphModule object
trt_gm = torch_tensorrt.compile(model, ir="dynamo", inputs)
trt_gm = torch_tensorrt.compile(model, ir="dynamo", inputs=inputs)
torch_tensorrt.save(trt_gm, "trt.ep", inputs=inputs)

# Later, you can load it and run inference
Expand All @@ -52,7 +52,7 @@ b) Torchscript
model = MyModel().eval().cuda()
inputs = [torch.randn((1, 3, 224, 224)).cuda()]
# trt_gm is a torch.fx.GraphModule object
trt_gm = torch_tensorrt.compile(model, ir="dynamo", inputs)
trt_gm = torch_tensorrt.compile(model, ir="dynamo", inputs=inputs)
torch_tensorrt.save(trt_gm, "trt.ts", output_format="torchscript", inputs=inputs)

# Later, you can load it and run inference
Expand All @@ -73,7 +73,7 @@ For `ir=ts`, this behavior stays the same in 2.X versions as well.

model = MyModel().eval().cuda()
inputs = [torch.randn((1, 3, 224, 224)).cuda()]
trt_ts = torch_tensorrt.compile(model, ir="ts", inputs) # Output is a ScriptModule object
trt_ts = torch_tensorrt.compile(model, ir="ts", inputs=inputs) # Output is a ScriptModule object
torch.jit.save(trt_ts, "trt_model.ts")

# Later, you can load it and run inference
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