theanets/layers/base.py
def resolve_outputs(self):
        '''Resolve the names of outputs for this layer into shape tuples.'''
        input_shape = None
        for i, shape in enumerate(self._input_shapes.values()):
            if i == 0:
                input_shape = shape
            if len(input_shape) != len(shape) or any(
                    a is not None and b is not None and a != b
                    for a, b in zip(input_shape[:-1], shape[:-1])):
                raise util.ConfigurationError(
                    'layer "{}" incompatible input shapes {}'
                    .format(self.name, self._input_shapes))
        size = self.kwargs.get('size')
        shape = self.kwargs.get('shape')
        if shape is not None:
            pass
        elif size is not None:
            shape = tuple(input_shape[:-1]) + (size, )
        else:
            raise util.ConfigurationError(
                'layer "{}" does not specify a size'.format(self.name))
        self._output_shapes['out'] = shape
def resolve_outputs(self):
        '''Resolve the names of outputs for this layer into shape tuples.'''
        input_shape = None
        for i, shape in enumerate(self._input_shapes.values()):
            if i == 0:
                input_shape = shape
            if len(input_shape) != len(shape) or any(
                    a is not None and b is not None and a != b
                    for a, b in zip(input_shape[:-1], shape[:-1])):
                raise util.ConfigurationError(
                    'layer "{}" incompatible input shapes {}'
                    .format(self.name, self._input_shapes))
        size = self.kwargs.get('size')
        shape = self.kwargs.get('shape')
        if shape is not None:
            pass
        elif size is not None:
            shape = tuple(input_shape[:-1]) + (size, )
        else:
            raise util.ConfigurationError(
                'layer "{}" does not specify a size'.format(self.name))
        self._output_shapes['out'] = shape
Resolve the names of outputs for this layer into shape tuples.