def get_config(self):
base_config = Layer.get_config(self)
config = {'sphereCoords': self.sphereCoords,
'vec_start': self.vec_start,
'weight_output' : self.weight_output}
return dict(list(base_config.items()) + list(config.items()))
def get_config(self):
base_config = Layer.get_config(self)
config = {
'std_stats': self.std_stats,
'take_particles': self.take_particles,
'take_HLF': self.take_HLF
}
return dict(list(base_config.items()) + list(config.items()))
def get_config(self):
config = {
'rep': self.rep,
'axis': self.axis,
'batch_size': self.batch_size
}
base_config = Layer.get_config(self)
# dict.items() will return a set-like object
return dict(base_config.items() | config.items())
def get_config(self):
base_config = Layer.get_config(self)
config = {'split_str': self.split_str}
return dict(list(base_config.items()) + list(config.items()))
# s = Slice("[:2 ,3:4 ,1 , 25:, 0:10:2]")
# out = s.get_output_shape_for((100,5,3, 50, 50,50))
# print(out)
def get_config(self):
base_config = Layer.get_config(self)
config = {
'attention_width': self.attention_width,
'implementation': self.implementation,
'seq_len': self.seq_len,
'sparsity_coeff': self.sparsity_coeff
}
return dict(list(base_config.items()) + list(config.items()))
def get_config(self):
base_config = Layer.get_config(self)
config = {'seq_len': self.seq_len}
return dict(list(base_config.items()) + list(config.items()))
def get_config(self):
base_config = Layer.get_config(self)
config = {'mapping': self.mapping_name,
'initial_beta': self.initial_beta,
'nb_out': self.nb_out}
return dict(list(base_config.items()) + list(config.items()))