Add ONNX export support for PatchTST
#2101
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xenova
commented
Nov 28, 2024
michaelbenayoun
approved these changes
Dec 12, 2024
echarlaix
approved these changes
Dec 13, 2024
| @@ -177,6 +177,7 @@ class OnnxConfig(ExportConfig, ABC): | |||
| "text2text-generation": OrderedDict({"logits": {0: "batch_size", 1: "decoder_sequence_length"}}), | |||
| "text-classification": OrderedDict({"logits": {0: "batch_size"}}), | |||
| "text-generation": OrderedDict({"logits": {0: "batch_size", 1: "sequence_length"}}), | |||
| "time-series-forecasting": OrderedDict({"prediction_outputs": {0: "batch_size"}}), | |||
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I can't find "time-series-forecasting" in https://huggingface.co/datasets/huggingface/transformers-metadata/blob/main/pipeline_tags.json, do you know if this specific to PatchTST models ? (-> PatchTSTXxxForPrediction)
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Indeed, this is not a transformers pipeline id, but it is a pipeline tag on the hub: https://huggingface.co/models?pipeline_tag=time-series-forecasting
(Not specific to patchtst)
Co-authored-by: Ella Charlaix <[email protected]>
Co-authored-by: Ella Charlaix <[email protected]>
Ready to merge, I'd say! wdyt @echarlaix? |
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Yes sounds good, thanks @xenova ! |
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What does this PR do?
This PR adds ONNX export support for PatchTST models, as well as fixes other models that contain the
torch.unfoldoperator, which is not supported bytorch.onnx.export. This is done by applying a set of default patching specs.Fixes huggingface/transformers.js#1047
Before submitting
Who can review?
@michaelbenayoun, @echarlaix