Cannot start training my models because of this errors

[aymane6]

Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.

See @{tf.nn.softmax_cross_entropy_with_logits_v2}.

Traceback (most recent call last):
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 510, in _apply_op_helper
preferred_dtype=default_dtype)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\ops.py", line 1104, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\constant_op.py", line 235, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\constant_op.py", line 214, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 441, in make_tensor_proto
_GetDenseDimensions(values)))
ValueError: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted [].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 524, in _apply_op_helper
values, as_ref=input_arg.is_ref).dtype.name
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\ops.py", line 1104, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\constant_op.py", line 235, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\constant_op.py", line 214, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 441, in make_tensor_proto
_GetDenseDimensions(values)))
ValueError: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted [].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 184, in
tf.app.run()
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run
_sys.exit(main(argv))
File "train.py", line 180, in main
graph_hook_fn=graph_rewriter_fn)
File "C:\tensorflow1\models\research\object_detection\trainer.py", line 288, in train
train_config.optimizer)
File "C:\tensorflow1\models\research\object_detection\builders\optimizer_builder.py", line 50, in build
learning_rate = _create_learning_rate(config.learning_rate)
File "C:\tensorflow1\models\research\object_detection\builders\optimizer_builder.py", line 109, in _create_learning_rate
learning_rate_sequence, config.warmup)
File "C:\tensorflow1\models\research\object_detection\utils\learning_schedules.py", line 169, in manual_stepping
[0] * num_boundaries))
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\ops\array_ops.py", line 2681, in where
return gen_math_ops.select(condition=condition, x=x, y=y, name=name)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 7189, in select
"Select", condition=condition, t=x, e=y, name=name)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 528, in _apply_op_helper
(input_name, err))
ValueError: Tried to convert 't' to a tensor and failed. Error: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted [].

I need help for this error pls

[rahullahoria]

@aymane6 check #3705 (comment)

[aymane6]

tks i fixe this one but now it gives me this error message :

C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\h5py_init_.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\trainer.py:257: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.create_global_step
INFO:tensorflow:Scale of 0 disables regularizer.
INFO:tensorflow:Scale of 0 disables regularizer.
INFO:tensorflow:depth of additional conv before box predictor: 0
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\core\box_predictor.py:403: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
INFO:tensorflow:Scale of 0 disables regularizer.
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\core\losses.py:317: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.

See @{tf.nn.softmax_cross_entropy_with_logits_v2}.

C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\ops\gradients_impl.py:100: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
"Converting sparse IndexedSlices to a dense Tensor of unknown shape. "
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:2008: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
Traceback (most recent call last):
File "train.py", line 184, in
tf.app.run()
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run
_sys.exit(main(argv))
File "train.py", line 180, in main
graph_hook_fn=graph_rewriter_fn)
File "C:\tensorflow1\models\research\object_detection\trainer.py", line 380, in train
var_map, train_config.fine_tune_checkpoint))
File "C:\tensorflow1\models\research\object_detection\utils\variables_helper.py", line 126, in get_variables_available_in_checkpoint
ckpt_reader = tf.train.NewCheckpointReader(checkpoint_path)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 287, in NewCheckpointReader
return CheckpointReader(compat.as_bytes(filepattern), status)
File "C:\Users\ayman\Anaconda3\envs\py35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 519, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Unsuccessful TensorSliceReader constructor: Failed to get matching files on PATH_TO_BE_CONFIGURED/model.ckpt: Not found: FindFirstFile failed for: PATH_TO_BE_CONFIGURED : Le chemin d\udc92acc\udce8s sp\udce9cifi\udce9 est introuvable.
; No such process