Question

在optimizer.py中，代码段的第一部分是

def apply_gradients(self, grads_and_vars, global_step=None, name=None):

   grads_and_vars = tuple(grads_and_vars)  # Make sure repeat iteration works.
   if not grads_and_vars:
      raise ValueError("No variables provided.")

运行我的程序，我收到了由此特定错误引起的错误消息。然后我打印出tuple(grads_and_vars)，其中一部分是。{1}}。我不知道为什么它会导致no variables provided的错误。

((<tf.Tensor 'Optimizer/training/clip_by_global_norm/Optimizer/training/clip_by_global_norm/_0:0' shape=(3, 3, 3, 64) dtype=float32>, <tensorflow.python.ops.variables.Variable object at 0x2afc746b5c50>), (<tf.Tensor 'Optimizer/training/clip_by_global_norm/Optimizer/training/clip_by_global_norm/_1:0' shape=(64,) dtype=float32>, <tensorflow.python.ops.variables.Variable object at 0x2affd48189b0>), (<tf.Tensor 'Optimizer/training/clip_by_global_norm/Optimizer/training/clip_by_global_norm/_2:0' shape=(3, 3, 64, 64) dtype=float32>, <tensorflow.python.ops.variables.Variable object at 0x2affd486d940>), (<tf.Tensor 'Optimizer/training/clip_by_global_norm/Optimizer/training/clip_by_global_norm/_3:0' shape=(64,) dtype=float32>, <tensorflow.python.ops.variables.Variable object at 0x2affd488cf98>), (<tf.Tensor 'Optimizer/training/clip_by_global_norm/Optimizer/training/clip_by_global_norm/_4:0' shape=(3, 3, 64, 128) dtype=float32>, <tensorflow.python.ops.variables.Variable object at 0x2afc746b5d68>), (<tf.Tensor 'Optimizer/training/clip_by_global_norm/Optimizer/training/clip_by_global_norm/_5:0' shape=(128,) dtype=float32>, <tensorflow.python.ops.variables.Variable object at 0x2affd48f4278>), (<tf.Tensor 'Optimizer/training/clip_by_global_norm/Optimizer/training/clip_by_global_norm/_6:0' shape=(3, 3, 128, 128) dtype=float32>, <tensorflow.python.ops.variables.Variable object at 0x2affd4915e10>),

Answer 1

在你的情况下，也许你应该尝试grads_and_vars = list（zip（grads，var_list））

在optimize.py的apply_gradients中的ValueError（“没有提供变量。”）

1 个答案: