def __init__(self, drop_connect_rate=0., seed0=0, seed1=0):
super(DropConnect, self).__init__()
self.shape = P.Shape()
self.dtype = P.DType()
self.keep_prob = 1 - drop_connect_rate
self.dropout = P.Dropout(keep_prob=self.keep_prob)
self.keep_prob_tensor = Tensor(self.keep_prob, dtype=mstype.float32)
def __init__(self, keep_prob=0.5, dtype=mstype.float32):
super(Dropout, self).__init__()
if keep_prob <= 0 or keep_prob > 1:
raise ValueError("dropout probability should be a number in range (0, 1], but got {}".format(keep_prob))
Validator.check_subclass("dtype", dtype, mstype.number_type, self.cls_name)
Validator.check_value_type('keep_prob', keep_prob, [float], self.cls_name)
self.keep_prob = keep_prob
seed0, seed1 = _get_graph_seed(0, "dropout")
self.seed0 = seed0
self.seed1 = seed1
self.dropout = P.Dropout(keep_prob, seed0, seed1)
def __init__(self, keep_prob=0.5, seed0=0, seed1=0, dtype=mstype.float32):
super(Dropout, self).__init__()
if keep_prob <= 0 or keep_prob > 1:
raise ValueError("dropout probability should be a number in range (0, 1], but got {}".format(keep_prob))
validator.check_subclass("dtype", dtype, mstype.number_type, self.cls_name)
self.keep_prob = keep_prob
self.seed0 = seed0
self.seed1 = seed1
self.dtype = dtype
self.get_shape = P.Shape()
self.dropout_gen_mask = P.DropoutGenMask(Seed0=seed0, Seed1=seed1)
self.dropout_do_mask = P.DropoutDoMask()
self.cast = P.Cast()
self.is_gpu = context.get_context('device_target') in ["GPU"]
if self.is_gpu:
self.dropout = P.Dropout(keep_prob)
def __init__(self, strategy1=None, strategy2=None):
super().__init__()
self.dropout = P.Dropout(keep_prob=0.6).set_strategy(strategy1)
self.matmul = P.MatMul().set_strategy(strategy2)
def __init__(self, keep_prob):
super(Net, self).__init__()
self.drop = P.Dropout(keep_prob)
def __init__(self):
super(Net2, self).__init__()
self.dropout = P.Dropout(keep_prob=1.0)
def __init__(self):
super(Net, self).__init__()
self.dropout = P.Dropout()
def __init__(self, keep_prob):
super(DropoutDynamic, self).__init__()
self.test_dynamic = inner.GpuConvertToDynamicShape()
self.drop = P.Dropout(keep_prob)
