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Add support for LongT5 optimization using ORT transformer optimizer script #683

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merged 1 commit into from
Jan 10, 2023
Merged

Add support for LongT5 optimization using ORT transformer optimizer script #683

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2 changes: 1 addition & 1 deletion optimum/exporters/onnx/model_configs.py
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Expand Up @@ -263,7 +263,7 @@ class MT5OnnxConfig(T5OnnxConfig):


class LongT5OnnxConfig(T5OnnxConfig):
pass
DEFAULT_ONNX_OPSET = 14


class BartDummyTextInputGenerator(DummyTextInputGenerator):
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1 change: 1 addition & 0 deletions optimum/onnxruntime/utils.py
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Expand Up @@ -88,6 +88,7 @@ class ORTConfigManager:
"electra": "bert",
"gpt2": "gpt2",
"gpt_neo": "gpt2",
"longt5": "bert",
"marian": "bart",
"mbart": "bart",
"mt5": "bart",
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1 change: 1 addition & 0 deletions optimum/utils/normalized_config.py
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Expand Up @@ -188,6 +188,7 @@ class NormalizedConfigManager:
"gpt2": GPT2LikeNormalizedTextConfig,
"gpt_neo": NormalizedTextConfig.with_args(num_attention_heads="num_heads"),
"gptj": GPT2LikeNormalizedTextConfig,
"longt5": T5LikeNormalizedTextConfig,
"marian": BartLikeNormalizedTextConfig,
"mbart": BartLikeNormalizedTextConfig,
"mt5": T5LikeNormalizedTextConfig,
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2 changes: 2 additions & 0 deletions tests/onnxruntime/test_optimization.py
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Expand Up @@ -72,6 +72,8 @@ def test_compare_original_model_with_optimized_model(self, model_cls, model_name
SUPPORTED_SEQ2SEQ_ARCHITECTURES_WITH_MODEL_ID = (
(ORTModelForSeq2SeqLM, "hf-internal-testing/tiny-random-bart", False),
(ORTModelForSeq2SeqLM, "hf-internal-testing/tiny-random-bart", True),
(ORTModelForSeq2SeqLM, "hf-internal-testing/tiny-random-LongT5ForConditionalGeneration", False),
(ORTModelForSeq2SeqLM, "hf-internal-testing/tiny-random-LongT5ForConditionalGeneration", True),
(ORTModelForSeq2SeqLM, "hf-internal-testing/tiny-random-marian", False),
(ORTModelForSeq2SeqLM, "hf-internal-testing/tiny-random-marian", True),
(ORTModelForSeq2SeqLM, "hf-internal-testing/tiny-random-mbart", False),
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