Zha0q1 commented on a change in pull request #20048:
URL: https://github.com/apache/incubator-mxnet/pull/20048#discussion_r598365388
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File path: tests/python-pytest/onnx/test_onnxruntime.py
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@@ -988,3 +988,170 @@ def test_ernie_inference_onnxruntime(tmp_path,
model_name):
finally:
shutil.rmtree(tmp_path)
+
+
+@with_seed()
[email protected]('model_name', ['transformer_en_de_512'])
+def test_transformer_pretrained_inference_onnxruntime(tmp_path, model_name):
+ tmp_path = str(tmp_path)
+ try:
+ import gluonnlp as nlp
+ dataset = 'WMT2014'
+ ctx = mx.cpu(0)
+ model, _, _ = nlp.model.get_model(
+ name=model_name,
+ ctx=ctx,
+ pretrained=True,
+ dataset_name=dataset)
+
+ model.hybridize(static_alloc=False)
+
+ batch = 7
+ seq_length = 16
+ C_in = 512
Review comment:
You can refer to this file
https://github.com/dmlc/gluon-nlp/blob/v0.10.x/src/gluonnlp/model/transformer.py
for C_in and C_out. Those are defined in the pretrained model thus we need to
set it the same as in the pretrained model
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