onnx variant from https://huggingface.co/KimberleyJSN/melbandroformer
torch.onnx.export(
mbr_core,
torch.rand(1, 801, 60, 384, dtype=torch.float32),
"model.onnx",
export_params=True,
input_names = ['input'],
output_names = ['output'],
dynamic_axes = {
'input' : {1 : 'duration'},
'output' : {1 : 'duration'}
}
)
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