Python apply_tf_op示例

示例#1

文件： model.py 项目： zhuxinqimac/DisentanglementICML19

 def decode(self, latent_input):
     return apply_tf_op(inputs=latent_input,
                        session=self.sess,
                        input_gate=self.latent_ph,
                        output_gate=self.dec_output_ph,
                        batch_size=self.args.nbatch,
                        train_gate=self.istrain)

示例#2

 def custom_apply_tf_op(inputs, output_gate):
     return apply_tf_op(inputs=inputs,
                        session=self.sess,
                        input_gate=self.img,
                        output_gate=output_gate,
                        batch_size=self.args.nbatch,
                        dim=4,
                        train_gate=self.istrain)

示例#3

 def custom_apply_tf_op(inputs, output_gate): return apply_tf_op(inputs=inputs, session=self.sess, input_gate=self.img, output_gate=output_gate, batch_size=self.args.nbatch, dim=4, train_gate=self.istrain)
 self.val_embed = custom_apply_tf_op(inputs=self.val_image, output_gate=self.embed_l2_norm)