Reputation: 7583
I have a TCNModel that is trained on a time series:
model_air = TCNModel(
input_chunk_length=13,
output_chunk_length=12,
n_epochs=3,
dropout=0.1,
dilation_base=2,
weight_norm=True,
kernel_size=5,
num_filters=3,
random_state=0,
save_checkpoints=True,
model_name=model_name,
force_reset=True,
)
According to darts documentation, the inner model_air.model
of type darts.models.forecasting.tcn_model._TCNModule
(derived from PLPastCovariatesModule
) can be serialized to ONNX via to_onnx call. However, no matter what I try, I get errors at export:
model_air.model.to_onnx('model_air.onnx')
ValueError: Could not export to ONNX since neither input_sample
nor model.example_input_array
attribute is set.
dummy_input = torch.randn(1, 13, 1)
model_air.model.to_onnx('model_air.onnx', input_sample=dummy_input)
ValueError: not enough values to unpack (expected 2, got 1)
dummy_input = (torch.randn(1, 13, 1), None)
model_air.model.to_onnx('model_air.onnx', input_sample=dummy_input)
TypeError: _TCNModule.forward() takes 2 positional arguments but 3 were given
What input value should I give to model_air.model?
Upvotes: 0
Views: 35