def decorrelate_transformer_convertor2(scope, operator, container):
op = operator.raw_operator
opv = container.target_opset
out = operator.outputs
X = operator.inputs[0]
Y = OnnxSubOperator(op.pca_, X, op_version=opv, output_names=out[:1])
Y.add_to(scope, container)
def decorrelate_transformer_converter(scope, operator, container):
op = operator.raw_operator
opv = container.target_opset
out = operator.outputs
# We retrieve the unique input.
X = operator.inputs[0]
# We tell in ONNX language how to compute the unique output.
# op_version=opv tells which opset is requested
subop = OnnxSubOperator(op.pca_, X, op_version=opv)
Y = OnnxIdentity(subop, op_version=opv, output_names=out[:1])
Y.add_to(scope, container)