1d396fb7f0ed8b8bcddfc918632122d3980470f0,hypergan/encoders/uniform_encoder.py,UniformEncoder,create,#UniformEncoder#,12

Before Change

        ops = self.ops
        config = self.config
        projections = []
        batch_size = ops.shape(gan.inputs[0])[0]
        self.z = tf.random_uniform([batch_size, config.z], config.min or -1, config.max or 1, dtype=ops.dtype)
        for projection in config.projections:
          projections.append(projection(config, gan, self.z))

After Change

        ops = self.ops
        config = self.config
        projections = []
        batch_size = self.gan.batch_size()
        self.z = tf.random_uniform([batch_size, config.z], config.min or -1, config.max or 1, dtype=ops.dtype)
        for projection in config.projections:
          projections.append(projection(config, gan, self.z))
        self.sample = tf.concat(axis=1, values=projections)

Instances