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Add ONNX export support for PatchTST
#2101
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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LGTM!
Let's wait for @echarlaix 's review before merging.
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Looks great, thank you so much @xenova for all the great work!
"patchtst": "ibm/test-patchtst", | ||
"patchtsmixer": "ibm/test-patchtsmixer", |
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already included in PYTORCH_EXPORT_MODELS_TINY
so can be removed
"patchtst": "ibm/test-patchtst", | |
"patchtsmixer": "ibm/test-patchtsmixer", |
("pt", "patchtsmixer", "feature-extraction"): ("transformers", "PatchTSMixerModel"), | ||
("pt", "patchtsmixer", "time-series-forecasting"): ("transformers", "PatchTSMixerForPrediction"), | ||
("pt", "patchtst", "feature-extraction"): ("transformers", "PatchTSTModel"), | ||
("pt", "patchtst", "time-series-forecasting"): ("transformers", "PatchTSTForPrediction"), |
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shouldn't AutoModel
load the models as expected https://huggingface.co/datasets/huggingface/transformers-metadata/blob/main/pipeline_tags.json#L666-L667 ?
("pt", "patchtsmixer", "feature-extraction"): ("transformers", "PatchTSMixerModel"), | |
("pt", "patchtsmixer", "time-series-forecasting"): ("transformers", "PatchTSMixerForPrediction"), | |
("pt", "patchtst", "feature-extraction"): ("transformers", "PatchTSTModel"), | |
("pt", "patchtst", "time-series-forecasting"): ("transformers", "PatchTSTForPrediction"), | |
("pt", "patchtsmixer", "time-series-forecasting"): ("transformers", "PatchTSMixerForPrediction"), | |
("pt", "patchtst", "time-series-forecasting"): ("transformers", "PatchTSTForPrediction"), |
@@ -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
)
@@ -2445,3 +2446,51 @@ class EncoderDecoderOnnxConfig(EncoderDecoderBaseOnnxConfig): | |||
NORMALIZED_CONFIG_CLASS = NormalizedEncoderDecoderConfig | |||
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DEFAULT_ONNX_OPSET = 14 # uses SDPA in Transformers, hence opset>=14. | |||
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class PatchTSTDummyInputGenerator(DummyInputGenerator): |
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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.unfold
operator, 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