from lasagne.layers import InputLayer as _InputLayer import numpy as np from .base import bayes as _bayes from theano.compile import SharedVariable __all__ = [ 'InputLayer' ] @_bayes class InputLayer(_InputLayer): def __init__(self, shape, input_var=None, name=None, testval=None, **kwargs): _InputLayer.__init__(self, shape, input_var=input_var, name=name, **kwargs) if testval is not None: self.input_var.tag.test_value = testval if (not isinstance(self.input_var, SharedVariable) and not hasattr(self.input_var.tag, 'test_value')): shape = [s if s is not None else 2 for s in self.shape] dtype = self.input_var.dtype self.input_var.tag.test_value = np.random.uniform(size=shape).astype(dtype)