model.py 文件源码

python
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项目:epfl-semester-project-biaxialnn 作者: onanypoint 项目源码 文件源码
def perform(self, node, inputs_storage, output_storage):
        """Peform the transformation from output to feature space.

        Defines the Python implementation of the op. It is in charge of doing 
        the processing to go from output space (statematrix) to feature space.

        Parameters
        ----------
        node : 
            Reference to an Apply node which was previously obtained via 
            the Op‘s make_node() method.
        inputs_storage : array_like
            A list of references to data which can be operated on using 
            non-symbolic statements
        output_storage : array_like
            A list of storage cells where the output is to be stored
        """
        state, time = inputs_storage
        output_storage[0][0] = np.array(self.d.f.note_state_single_to_input_form(state, time), dtype='int8')
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