6f528bb277012ec96bae86c30ef1dbd5eb3c2130,tensorlayer/layers.py,DropconnectDenseLayer,__init__,#DropconnectDenseLayer#Any#Any#Any#Any#Any#Any#Any#Any#Any#,752

Before Change

        print("  tensorlayer:Instantiate DropconnectDenseLayer %s: %d, %s" % (self.name, self.n_units, act))

        W = tf.Variable(W_init(shape=(n_in, n_units), **W_init_args), name="W")
        b = tf.Variable(b_init(shape=[n_units], **b_init_args), name="b")
        self.outputs = act(tf.matmul(self.inputs, W) + b)

        set_keep[name] = tf.placeholder(tf.float32)
        W_dropcon = tf.nn.dropout(W,  set_keep[name])

After Change

        Layer.__init__(self, name=name)
        self.inputs = layer.outputs
        // n_in = layer.n_units
        if self.inputs.get_shape().ndims != 2:
            raise Exception("The input dimension must be rank 2")
        n_in = int(self.inputs._shape[-1])
        self.n_units = n_units

Instances