5750090fcd4a6718608c7357e3890f5b2a545ae0,layers/tacotron.py,Decoder,forward,#Decoder#Any#Any#,235

Before Change

                    // combine prev. model output and prev. real target
                    memory_input = torch.div(outputs[-1] + memory[t-1], 2.0)
                    // add a random noise
                    noise = torch.autograd.Variable(
                        memory_input.data.new(memory_input.size()).normal_(0.0, 0.5))
                    memory_input = memory_input + noise

            // Prenet
            processed_memory = self.prenet(memory_input)

After Change

        outputs = []
        alignments = []
        stop_outputs = []

        t = 0
        memory_input = initial_memory
        while True:

Instances