53633acd7c861fd73e3954088a48d0ac8dc42895,niftynet/application/gan_application.py,GANApplication,initialise_sampler,#GANApplication#,100

Before Change

    def initialise_sampler(self):
        self.sampler = []
        if self.is_training:
            self.sampler.append(ResizeSampler(
                reader=self.reader,
                data_param=self.data_param,
                batch_size=self.net_param.batch_size,
                windows_per_image=1,
                shuffle_buffer=True,
                queue_length=self.net_param.queue_length))
        else:
            self.sampler.append(RandomVectorSampler(
                names=("vector",),

After Change

    def initialise_sampler(self):
        self.sampler = []
        if self.is_training:
            self.sampler.append([ResizeSampler(
                reader=reader,
                data_param=self.data_param,
                batch_size=self.net_param.batch_size,
                windows_per_image=1,
                shuffle_buffer=True,
                queue_length=self.net_param.queue_length) for reader in
                self.readers])
        else:
            self.sampler.append([RandomVectorSampler(
                names=("vector",),

Instances