tenserflow training

[Hashirroshan]

while training my own datasets i got following errors

(tensorflow) pi@pi-HP-280-G1-MT:~/Desktop/models/research/object_detection$ python3 train.py --logtostderr --train_dir=train --pipeline_config_path=train/ssd_mobilenet_v1_coco.config
WARNING:tensorflow:From /home/pi/Desktop/models/research/object_detection/object_detection/trainer.py:176: 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
Traceback (most recent call last):
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 455, in _apply_op_helper
as_ref=input_arg.is_ref)
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1169, in internal_convert_n_to_tensor
ctx=ctx))
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/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 "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1034, in _autopacking_conversion_function
return _autopacking_helper(v, inferred_dtype, name or "packed")
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 976, in _autopacking_helper
elem))
TypeError: Cannot convert a list containing a tensor of dtype <dtype: 'int32'> to <dtype: 'float32'> (Tensor is: <tf.Tensor 'Preprocessor/stack_1:0' shape=(1, 3) dtype=int32>)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 198, in
tf.app.run()
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "train.py", line 194, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "/home/pi/Desktop/models/research/object_detection/object_detection/trainer.py", line 192, in train
clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
File "/home/pi/Desktop/models/research/slim/deployment/model_deploy.py", line 193, in create_clones
outputs = model_fn(*args, **kwargs)
File "/home/pi/Desktop/models/research/object_detection/object_detection/trainer.py", line 124, in _create_losses
images = tf.concat(images, 0)
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1189, in concat
return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 953, in concat_v2
"ConcatV2", values=values, axis=axis, name=name)
File "/home/pi/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 483, in _apply_op_helper
raise TypeError("%s that don't all match." % prefix)
TypeError: Tensors in list passed to 'values' of 'ConcatV2' Op have types [, , , , , , , , , ] that don't all match.

pls help me out