tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file /content/model/model: Failed precondition: /content/model/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator?

[VYRION-Ai]

i run the code in colab and got this error , all the dir is correct ,

%cd /content/uns20
!python infer.py /content/model/model /content/data/

/content/uns20
initializing model
WARNING:tensorflow:From /content/uns20/model.py:109: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

WARNING:tensorflow:From /content/uns20/model.py:112: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /content/uns20/model.py:139: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /content/uns20/model.py:26: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

WARNING:tensorflow:From /content/uns20/model.py:211: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/util/tf_should_use.py:198: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Use `tf.global_variables_initializer` instead.
WARNING:tensorflow:From /content/uns20/model.py:176: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

WARNING:tensorflow:From infer.py:37: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From infer.py:39: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2022-03-16 18:00:19.372204: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2022-03-16 18:00:19.376262: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2299995000 Hz
2022-03-16 18:00:19.376495: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x558fd528b100 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-03-16 18:00:19.376531: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2022-03-16 18:00:19.528787: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open /content/model/model: Failed precondition: /content/model/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator?
2022-03-16 18:00:19.529600: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open /content/model/model: Failed precondition: /content/model/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator?
2022-03-16 18:00:19.529657: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at save_restore_tensor.cc:175 : Data loss: Unable to open table file /content/model/model: Failed precondition: /content/model/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator?
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
    target_list, run_metadata)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file /content/model/model: Failed precondition: /content/model/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator?
	 [[{{node save/RestoreV2}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "infer.py", line 41, in <module>
    m.saver.restore(session, MODEL_PATH)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 1290, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 956, in run
    run_metadata_ptr)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1180, in _run
    feed_dict_tensor, options, run_metadata)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
    run_metadata)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file /content/model/model: Failed precondition: /content/model/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator?
	 [[node save/RestoreV2 (defined at /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for 'save/RestoreV2':
  File "infer.py", line 36, in <module>
    m = model.Model(options={'mode': MODE})
  File "/content/uns20/model.py", line 176, in __init__
    self.saver = tf.train.Saver(max_to_keep=None)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 828, in __init__
    self.build()
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 840, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 878, in _build
    build_restore=build_restore)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 508, in _build_internal
    restore_sequentially, reshape)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 328, in _AddRestoreOps
    restore_sequentially)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/training/saver.py", line 575, in bulk_restore
    return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/ops/gen_io_ops.py", line 1696, in restore_v2
    name=name)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
    op_def=op_def)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
    attrs, op_def, compute_device)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
    op_def=op_def)
  File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
    self._traceback = tf_stack.extract_stack()

[smart-face]

Please check the paths in the checkpoint file and keep the same as the current directory. Next, use 'model/model' as MODEL_PATH argument.