TensorFlow Speech_Commands执行freeze.py时遇Unsuccessful TensorSliceReader错误

我帮你梳理下这个问题的解决思路，你遇到的这个NotFoundError核心原因是TensorFlow找不到你指定的检查点文件，咱们一步步排查解决：

1. 先确认检查点文件的路径是否正确 #

训练完成后，你的检查点文件会保存在训练时指定的--train_dir目录下，通常包含这几个关键文件：

• model.ckpt-700.data-00000-of-00001
• model.ckpt-700.index
• model.ckpt-700.meta
• checkpoint（记录最新检查点的文本文件）

运行freeze.py时，--start_checkpoint参数要指向不带后缀的检查点前缀，比如你的检查点文件在/root/my_train_dir/model.ckpt-700，那参数应该写成：

--start_checkpoint=/root/my_train_dir/model.ckpt-700

别加.meta或.data后缀，也别写错路径或者步数（你只训练了700步，就别写model.ckpt-1000）。

2. 验证检查点文件是否真的存在 #

在Digital Ocean的终端里，用ls命令查看你的训练目录，确认文件都在：

ls /path/to/your/train_dir

如果看不到那几个model.ckpt-700.*文件，说明训练过程可能没正确保存检查点——要么是训练时没指定--train_dir参数，要么是训练中途报错中断了，得重新检查训练命令并重新跑训练。

3. 确保训练与freeze的参数/模型结构一致 #

因为你修改了词汇列表（2个原词汇+1个自定义词汇），一定要注意：

• 训练时用的--wanted_words参数，和运行freeze.py时的参数必须完全一致，比如训练时是--wanted_words=yes,no,mycustom，freeze时也得用一模一样的参数，不然模型变量结构不匹配，哪怕找到文件也会报错。
• 训练时如果修改了models.py里的模型结构，freeze时也要用同一个修改后的models.py，避免变量数量、名称变化导致加载失败。

关于AVX2/FMA的警告 #

你看到的Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA只是个性能警告，不是导致当前错误的原因——它只是说你的CPU有更高级的指令集，但当前TensorFlow版本没编译支持，只会影响运行速度，不会功能故障，完全可以忽略。

你遇到的错误日志： #

2018-05-13 14:22:14.599027: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-05-13 14:22:15.263582: W tensorflow/core/framework/op_kernel.cc:1318] OP_REQUIRES failed at save_restore_tensor.cc:170 : Not found: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for 
Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1322, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1307, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for 
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "freeze.py", line 180, in <module>
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 126, in run
    _sys.exit(main(argv))
  File "freeze.py", line 117, in main
    models.load_variables_from_checkpoint(sess, FLAGS.start_checkpoint)
  File "/root/models.py", line 123, in load_variables_from_checkpoint
    saver.restore(sess, start_checkpoint)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1802, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 900, in run
    run_metadata_ptr)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1135, in _run
    feed_dict_tensor, options, run_metadata)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1316, in _do_run
    run_metadata)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1335, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for 
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
Caused by op 'save/RestoreV2', defined at:
  File "freeze.py", line 180, in <module>
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 126, in run
    _sys.exit(main(argv))
  File "freeze.py", line 117, in main
    models.load_variables_from_checkpoint(sess, FLAGS.start_checkpoint)
  File "/root/models.py", line 122, in load_variables_from_checkpoint
    saver = tf.train.Saver(tf.global_variables())
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1338, in __init__
    self.build()
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1347, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1384, in _build
    build_save=build_save, build_restore=build_restore)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 835, in _build_internal
    restore_sequentially, reshape)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 472, in _AddRestoreOps
    restore_sequentially)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 886, in bulk_restore
    return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 1463, in restore_v2
    shape_and_slices=shape_and_slices, dtypes=dtypes, name=name)
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)

内容的提问来源于stack exchange，提问作者Zharko Cekovski