Jiecao Yu
Jiecao Yu
Hi @BobxmuMa @zhaoxiangshun , this parameter ```1e+9``` appears in the paper author's initial repo and, therefore, I also kept it. The main effect of this parameter is to increase the...
@314rated you can use torch.load() to directly load the file. You don't need to extract them.
你好 @BobxmuMa ，关于具体的公式计算，不知道你是不是可以列出具体的步骤？我暂时没有办法理解你的问题。
@BobxmuMa 这一项和\alpha 有关所以不是0
@iitbombombay Algorithmically it is possible. Is it the same case for all images or only for some images?
你好 @Icey-Liu , 你可以把具体的error message贴在这里么？谢谢
Hi. Thanks for your suggestion! I will work on that. :)
@guangzhili An XNOR operation kernel is required to get an acceleration. I am implementing the kernels as part of my research project. I will release the code after I get...
Try to replace that line with ```python _, (c, h) = lstm_cell(inputs=tf.concat([x[:,t,:], context], 1), state=[c, h]) ``` Tensorflow updates the syntax. You need to the same thing for line 209....
In file core/solver.py, try to change ```python tf.get_variable_scope().reuse_variables() _, _, generated_captions = self.model.build_sampler(max_len=20) with tf.name_scope('optimizer'): optimizer = self.optimizer(learning_rate=self.learning_rate) grads = tf.gradients(loss, tf.trainable_variables()) grads_and_vars = list(zip(grads, tf.trainable_variables())) train_op = optimizer.apply_gradients(grads_and_vars=grads_and_vars) ```...