Models: ValueError: Duplicate node name in graph

[momo1986]

I tried to import mobile-net in my object-detection project:
Here is my code:

model {
  ssd {
    num_classes: 2
    box_coder {
      faster_rcnn_box_coder {
        y_scale: 10.0
        x_scale: 10.0
        height_scale: 5.0
        width_scale: 5.0
      }
    }
    matcher {
      argmax_matcher {
        matched_threshold: 0.5
        unmatched_threshold: 0.5
        ignore_thresholds: false
        negatives_lower_than_unmatched: true
        force_match_for_each_row: true
      }
    }
    similarity_calculator {
      iou_similarity {
      }
    }
    anchor_generator {
      ssd_anchor_generator {
        num_layers: 6
        min_scale: 0.2
        max_scale: 0.95
        aspect_ratios: 1.0
        aspect_ratios: 2.0
        aspect_ratios: 0.5
        aspect_ratios: 3.0
        aspect_ratios: 0.3333
      }
    }
    image_resizer {
      fixed_shape_resizer {
        height: 300
        width: 300
      }
    }
    box_predictor {
      convolutional_box_predictor {
        min_depth: 0
        max_depth: 0
        num_layers_before_predictor: 0
        use_dropout: false
        dropout_keep_probability: 0.8
        kernel_size: 1
        box_code_size: 4
        apply_sigmoid_to_scores: false
        conv_hyperparams {
          activation: RELU_6,
          regularizer {
            l2_regularizer {
              weight: 0.00004
            }
          }
          initializer {
            truncated_normal_initializer {
              stddev: 0.03
              mean: 0.0
            }
          }
          batch_norm {
            train: true,
            scale: true,
            center: true,
            decay: 0.9997,
            epsilon: 0.001,
          }
        }
      }
    }
    feature_extractor {
      type: 'ssd_mobilenet_v1'
      min_depth: 16
      depth_multiplier: 1.0
      conv_hyperparams {
        activation: RELU_6,
        regularizer {
          l2_regularizer {
            weight: 0.00004
          }
        }
        initializer {
          truncated_normal_initializer {
            stddev: 0.03
            mean: 0.0
          }
        }
        batch_norm {
          train: true,
          scale: true,
          center: true,
          decay: 0.9997,
          epsilon: 0.001,
        }
      }
    }
    loss {
      classification_loss {
        weighted_sigmoid {
          anchorwise_output: true
        }
      }
      localization_loss {
        weighted_smooth_l1 {
          anchorwise_output: true
        }
      }
      hard_example_miner {
        num_hard_examples: 3000
        iou_threshold: 0.99
        loss_type: CLASSIFICATION
        max_negatives_per_positive: 3
        min_negatives_per_image: 0
      }
      classification_weight: 1.0
      localization_weight: 1.0
    }
    normalize_loss_by_num_matches: true
    post_processing {
      batch_non_max_suppression {
        score_threshold: 1e-8
        iou_threshold: 0.6
        max_detections_per_class: 100
        max_total_detections: 100
      }
      score_converter: SIGMOID
    }
  }
}

train_config: {
  batch_size: 16
  optimizer {
    rms_prop_optimizer: {
      learning_rate: {
        exponential_decay_learning_rate {
          initial_learning_rate: 0.004
          decay_steps: 800720
          decay_factor: 0.95
        }
      }
      momentum_optimizer_value: 0.9
      decay: 0.9
      epsilon: 1.0
    }
  }
  fine_tune_checkpoint: "/fast/junyan/HandDetection/hands-detection-gcloud/models/mobilenet_v1/mobilenet_v1_1.0_224.ckpt"
  from_detection_checkpoint: true
  data_augmentation_options {
    random_horizontal_flip {
    }
  }
  data_augmentation_options {
    ssd_random_crop {
    }
  }
}

train_input_reader: {
  tf_record_input_reader {
    input_path: "../hands_train.record"
  }
  label_map_path: "../hands_label_map.pbtxt"
}

eval_config: {
  num_examples: 738
}

eval_input_reader: {
  tf_record_input_reader {
    input_path: "../hands_val.record"
  }
  label_map_path: "../hands_label_map.pbtxt"
  shuffle: false
  num_readers: 1
}

Here is my error:

Traceback (most recent call last):
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1628, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Duplicate node name in graph: 'MobilenetV1/Conv2d_0/weights/RMSProp'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "object_detection/train.py", line 198, in
tf.app.run()
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "object_detection/train.py", line 194, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "/fast/junyan/HandDetection/hands-detection-gcloud/models/object_detection/trainer.py", line 244, in train
global_step=global_step)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/opt/python/training/moving_average_optimizer.py", line 94, in apply_gradients
grads_and_vars, global_step=global_step, name=name)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 593, in apply_gradients
self._create_slots(var_list)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/rmsprop.py", line 124, in _create_slots
self._name)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 1118, in _get_or_make_slot_with_initializer
var, initializer, shape, dtype, op_name)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/slot_creator.py", line 157, in create_slot_with_initializer
dtype)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/slot_creator.py", line 65, in _create_slot_var
validate_shape=validate_shape)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1487, in get_variable
aggregation=aggregation)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1237, in get_variable
aggregation=aggregation)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 540, in get_variable
aggregation=aggregation)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 492, in _true_getter
aggregation=aggregation)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 922, in _get_single_variable
aggregation=aggregation)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 183, in __call__
return cls._variable_v1_call(args, *kwargs)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 146, in _variable_v1_call
aggregation=aggregation)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 125, in
previous_getter = lambda *kwargs: default_variable_creator(None, *kwargs)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 2444, in default_variable_creator
expected_shape=expected_shape, import_scope=import_scope)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 187, in __call__
return super(VariableMetaclass, cls).__call__(args, *kwargs)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 1329, in __init__
constraint=constraint)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 1443, in _init_from_args
name=name)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/state_ops.py", line 77, in variable_op_v2
shared_name=shared_name)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 1357, in variable_v2
shared_name=shared_name, name=name)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 488, in new_func
return func(args, *kwargs)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3274, in create_op
op_def=op_def)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1792, in __init__
control_input_ops)
File "/root/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1631, in _create_c_op
raise ValueError(str(e))
ValueError: Duplicate node name in graph: 'MobilenetV1/Conv2d_0/weights/RMSProp'

[tensorflowbutler]

Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks.
What is the top-level directory of the model you are using
Have I written custom code
OS Platform and Distribution
TensorFlow installed from
TensorFlow version
Bazel version
CUDA/cuDNN version
GPU model and memory
Exact command to reproduce

[momo1986]

Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks.
What is the top-level directory of the model you are using
Have I written custom code
OS Platform and Distribution
TensorFlow installed from
TensorFlow version
Bazel version
CUDA/cuDNN version
GPU model and memory
Exact command to reproduce

Hello, I resolve this problem. It looks like some tf python source code version inconsistency.

Thanks a lot for your tracking.

Maybe this issue can mark as "closed" or "resolved".

Regards!

[athorneak13]

@momo1986 could you please explain further what you did to fix the bug?

Thanks!

[ymodak]

Closing this issue since it was resolved for the original issue author. Feel free to open a new issue if have further problems. Thanks!