tensorflow TypeError: Can not convert a float32 into a Tensor or Operation

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tensorflow TypeError: Can not convert a float32 into a Tensor or Operation

遇到这种情况可能是你的程序中有和你定义的tensor 变量重名的其他变量名字,jishi在for循环中使用了这个名字的作为临时变量也不行.tenor 变量很娇气.坑了我一晚上的时间. 比如:x = tf.placeholder(tf.float32,[None,512]) 那么在程序中就不能使用x作为其他变量名,jishi临时的也不行.(我就在for循环中使用了x所以...........) 坑! 这输入法也是坑,打汉字的时候根本不显示,我这都是盲打的,上面几个拼音是我实在是不知道怎么打出来.…

TypeError: Fetch argument 0.484375 has invalid type <class 'numpy.float32'>, must be a string or Tensor. (Can not convert a float32 into a Tensor or Operation.)

报错: TypeError: Fetch argument 0.484375 has invalid type <class 'numpy.float32'>, must be a string or Tensor. (Can not convert a float32 into a Tensor or Operation.) 出错代码: _, summaries, acc, loss = sess.run([train_step, train_summary_op, acc, cost],…

TypeError: Fetch argument 0 has invalid type <type 'int'>, must be a string or Tensor. (Can not convert a int into a Tensor or Operation.)

6月5日的時候,修改dilated_seg.py(使用tensorflow)出現了報錯: TypeError: Fetch argument 0 has invalid type <type 'int'>, must be a string or Tensor. (Can not convert a int into a Tensor or Operation.) 檢查後發現,是在定義了acc_value =tf.reduce_mean(tf.keras.metrics.binary_accu…