5aab2436c4548d51b6dde2fc7867a6804d6380fd,tensorlayer/layers/dense/base_dense.py,Dense,build,#Dense#Any#,97

Before Change

            **self.W_init_args
        )
        if self.b_init is not None:
            try:
                self.b = tf.get_variable(
                    name="b", shape=(self.n_units), initializer=self.b_init, dtype=LayersConfig.tf_dtype,
                    **self.b_init_args
                )
            except Exception:  // If initializer is a constant, do not specify shape.
                self.b = tf.get_variable(
                    name="b", initializer=self.b_init, dtype=LayersConfig.tf_dtype, **self.b_init_args
                )
        self.add_weights(self.W, self.b)

    def forward(self, inputs, is_train):
        outputs = tf.matmul(inputs, self.W)

After Change

        // if self.b_init is not None:
        //     self._make_weight(name=self.name, name2="b", shape=(self.n_units))
        shape = [inputs_shape[1], self.n_units]
        self._add_weight(self.name, "w1", tuple(shape))
        self._add_weight(self.name, "b1", int(self.n_units))
        outputs_shape = [inputs_shape[0], self.n_units]
        return outputs_shape

Instances