Require full compilation arg #3193
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narendasan
reviewed
Oct 1, 2024
| @@ -107,6 +107,8 @@ def _pretraced_backend( | |||
| torchtrt_inputs = prepare_inputs( | |||
| torch_inputs, disable_memory_format_check=True | |||
| ) | |||
| if settings.require_full_compilation: | |||
| raise AssertionError("this argument is only applicable for ir=dynamo") | |||
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I think this isnt very clear since the backend will get called from torch.compile. You could instead throw a warning that requires_full_compilation does nothing for the tensorrt backend for torch.compile
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I changed this to a warning. But should there be some additional logic to make this argument invalid for the backend = "torch_tensorrt" since it would still be passed to the same partitioning code, and error out in case of torch.compile if there is a graph break
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narendasan
reviewed
Oct 7, 2024
| @@ -107,6 +107,10 @@ def _pretraced_backend( | |||
| torchtrt_inputs = prepare_inputs( | |||
| torch_inputs, disable_memory_format_check=True | |||
| ) | |||
| if settings.require_full_compilation: | |||
| logger.warning( | |||
| "req_full_compilation arg is not applicable for torch.compile with backend='torch_tensorrt" | |||
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Use the actual name of the argument require_full_compilation
add arg require_full_compilation
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lanluo-nvidia
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Oct 8, 2024
…2.5 (#3213) Co-authored-by: apbose <apbose694@gmail.com>
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Addresses #3177