aa94e2f289e7c019432bee931a18f3d4ae777913,tensorlayer/layers/convolution/separable_conv.py,SeparableConv2d,build,#SeparableConv2d#Any#,240

Before Change

        )
        _out = self.layer(np.random.uniform([1] + list(inputs_shape)))  // initialize weights
        outputs_shape = _out.shape
        self._add_weights(self.layer.weights)

    def forward(self, inputs):
        outputs = self.layer(inputs)
        return outputs

After Change

        else:
            self.in_channels = inputs_shape[-1]
        // _out = self.layer(np.random.uniform([1] + list(inputs_shape)))  // initialize weights
        _out = self.layer(tf.convert_to_tensor(np.random.uniform(size=list(inputs_shape)), dtype=np.float))    // initialize weights
        outputs_shape = _out.shape
        //self._add_weights(self.layer.weights)
        self._weights = self.layer.weights

Instances