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的apply_gradients在optimizer.py,代码段的第一部分是ValueError异常(“不提供变量”。)在optimize.py
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,我得到了由此引起的特定错误的错误消息。然后我打印出tuple(grads_and_vars)
,其中一部分是。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>),
你能提供你所运行的模型的某些方面?你有哪些变量,以及这个apply_gradients操作的是哪个变量? –
您是否找到解决方案?我也有同样的错误。 – user3104352