ef86d2e73e7ce03c4184a04a336d96caf661269a,sonnet/python/modules/conv.py,Conv1DTranspose,_build,#Conv1DTranspose#Any#,1292

Before Change

                              partitioner=self._partitioners.get("w", None),
                              regularizer=self._regularizers.get("w", None))

    tf_out_shape = ((batch_size, 1,) + self._output_shape +
                    (self.output_channels,))

    // Add an extra dimension to the input - a height of 1.

After Change

    batch_size = tf.expand_dims(tf.shape(inputs)[0], 0)
    out_shape = (1, self.output_shape[0])
    out_channels = (self.output_channels,)
    out_shape_tuple = out_shape + out_channels
    conv_output_shape = tf.convert_to_tensor(out_shape_tuple)
    tf_out_shape = tf.concat([batch_size, conv_output_shape], 0)

    // Add an extra dimension to the input - a height of 1.
    inputs = tf.expand_dims(inputs, 1)

Instances