Make quantize_pt2 return an ExportedProgram instead of a GraphModule #10644
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10644
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…10644) Summary: This will help differentiating the fp32 models from the quantized models, and prevent people from using the wrong APIs. For fp32 cases, we have a `torch.nn.Module`, which we trace and then lower. For quantized cases, we trace, quantize, and lower. After this diff, `export_to_<edge, executorch>` will ONLY handle non-quantized cases, and importantly, the sequence of `quantize_pt2` and then `export_to_<edge, executorch>` will not work anymore. Those cases should use the (existing) `lower_ep_to_<edge, executorch>` instead. Note that in subsequent diffs, both `quantize_pt2` and `lower_ep_to<edge, executorch` should be inner calls, not exposed to users Reviewed By: Vysarat, zonglinpeng Differential Revision: D73722640
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Differential Revision: D73722640 Pull Request resolved: pytorch#10644
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Summary:
This will help differentiating the fp32 models from the quantized models, and prevent people from using the wrong APIs.
For fp32 cases, we have a
torch.nn.Module, which we trace and then lower. For quantized cases, we trace, quantize, and lower.After this diff,
export_to_<edge, executorch>will ONLY handle non-quantized cases, and importantly, the sequence ofquantize_pt2and thenexport_to_<edge, executorch>will not work anymore. Those cases should use the (existing)lower_ep_to_<edge, executorch>instead.Differential Revision: D73722640