def test_sequence_repeat_converter(self):
input_dim = (3, 1, 1)
output_dim = (9, 1, 1)
inputs = [('input', datatypes.Array(*input_dim))]
outputs = [('output', datatypes.Array(*output_dim))]
builder = NeuralNetworkBuilder(inputs, outputs)
builder.add_sequence_repeat(name='Repeat', input_name='input', output_name='output', nrep=3)
model_onnx = convert_coreml(builder.spec)
self.assertTrue(model_onnx is not None)
def test_sequence_repeat_converter(self):
input_dim = (3, 1, 1)
output_dim = (9, 1, 1)
inputs = [('input', datatypes.Array(*input_dim))]
outputs = [('output', datatypes.Array(*output_dim))]
builder = NeuralNetworkBuilder(inputs, outputs)
builder.add_sequence_repeat(name='Repeat',
input_name='input',
output_name='output',
nrep=3)
context = ConvertContext()
node = SequenceRepeatLayerConverter.convert(
context, builder.spec.neuralNetwork.layers[0], ['input'],
['output'])
self.assertTrue(node is not None)
