SSD MobileNet train fails with Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>)

[anonym24]

retraining with faster_rcnn_inception_v2_coco_2018_01_28 model and faster_rcnn_inception_v2_pets.config works ok

but

python3 train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_coco.config

with ssd_mobilenet_v1_coco_2018_01_28 pretrained model

fails with next error

ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'init_ops/report_uninitialized_variables/boolean_mask/GatherV2:0' shape=(?,) dtype=string>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
  File "train.py", line 184, in <module>
    tf.app.run()  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
    _sys.exit(main(argv))  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 306, in new_func
    return func(*args, **kwargs)  File "train.py", line 180, in main
    graph_hook_fn=graph_rewriter_fn)  File "/media/user/DATA/tensorflow1/models/research/object_detection/legacy/trainer.py", line 415, in train
    saver=saver)  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/contrib/slim/python/slim/learning.py", line 791, in train
    should_retry = True  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 189, in wrapped
    return _add_should_use_warning(fn(*args, **kwargs))
==================================
E1107 16:45:19.883316 139764880684864 tf_logging.py:105] ==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'init_ops/report_uninitialized_variables/boolean_mask/GatherV2:0' shape=(?,) dtype=string>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
  File "train.py", line 184, in <module>
    tf.app.run()  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
    _sys.exit(main(argv))  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 306, in new_func
    return func(*args, **kwargs)  File "train.py", line 180, in main
    graph_hook_fn=graph_rewriter_fn)  File "/media/user/DATA/tensorflow1/models/research/object_detection/legacy/trainer.py", line 415, in train
    saver=saver)  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/contrib/slim/python/slim/learning.py", line 791, in train
    should_retry = True  File "/home/user/.local/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 189, in wrapped
    return _add_should_use_warning(fn(*args, **kwargs))
==================================

Full log:
full_logs.zip

ssd_mobilenet_v1_coco.config

# SSD with Mobilenet v1 configuration for MSCOCO Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
# should be configured.

model {
  ssd {
    num_classes: 30
    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 {
        }
      }
      localization_loss {
        weighted_smooth_l1 {
        }
      }
      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: 24
  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: "/media/user/DATA/tensorflow1/models/research/object_detection/ssd_mobilenet_v1_coco_2018_01_28/model.ckpt"
  from_detection_checkpoint: true
  # Note: The below line limits the training process to 200K steps, which we
  # empirically found to be sufficient enough to train the pets dataset. This
  # effectively bypasses the learning rate schedule (the learning rate will
  # never decay). Remove the below line to train indefinitely.
  num_steps: 200000
  data_augmentation_options {
    random_horizontal_flip {
    }
  }
  data_augmentation_options {
    ssd_random_crop {
    }
  }
}

train_input_reader: {
  tf_record_input_reader {
    input_path: "/media/user/DATA/tensorflow1/models/research/object_detection/train.record"
  }
  label_map_path: "/media/user/DATA/tensorflow1/models/research/object_detection/training/labelmap.pbtxt"
}

eval_config: {
  num_examples: 8000
  # Note: The below line limits the evaluation process to 10 evaluations.
  # Remove the below line to evaluate indefinitely.
  max_evals: 10
}

eval_input_reader: {
  tf_record_input_reader {
    input_path: "/media/user/DATA/tensorflow1/models/research/object_detection/test.record"
  }
  label_map_path: "/media/user/DATA/tensorflow1/models/research/object_detection/training/labelmap.pbtxt"
  shuffle: false
  num_readers: 1
}

System information

• What is the top-level directory of the model you are using: http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2018_01_28.tar.gz
• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): no
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): 16.04
• TensorFlow installed from (source or binary): pip tensorflow-gpu https://www.tensorflow.org/install/pip
• TensorFlow version (use command below): 1.12.0
• Bazel version (if compiling from source): -
• CUDA/cuDNN version: 9.0/7
• GPU model and memory: GTX 1060 6GB

[anonym24]

I tried to use model_train.py instead of train.py - #5719

Seems it started to work with model_train.py for ssd_mobilenet_v1_coco.config + ssd_mobilenet_v1_coco_2018_01_28 combination
Though training is very slow and it eats a lot of cpu

But it fails for ssd_mobilenet_v1_quantized_300x300_coco14_sync.config + ssd_mobilenet_v1_quantized_300x300_coco14_sync_2018_07_18

[anonym24]

seems the real issues with train.py are related to OOM - #2034 (comment)

seems only with batch_size value 1 it works for train.py

[anonym24]

Trying to get back to train.py again cause model_train.py works ugly - eats a lot of CPU and it's very slowly:

With train.py and batch_size value 1 it finally at least started to train but after some steps (~100-200) it fails retraining SSD MobileNet:

python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config

INFO:tensorflow:global step 171: loss = 14.8309 (0.360 sec/step)
I1109 12:00:57.197321  7740 tf_logging.py:115] global step 171: loss = 14.8309 (0.360 sec/step)
INFO:tensorflow:global step 172: loss = 11.7885 (0.351 sec/step)
I1109 12:00:57.549896  7740 tf_logging.py:115] global step 172: loss = 11.7885 (0.351 sec/step)
INFO:tensorflow:global step 173: loss = 12.5532 (0.369 sec/step)
I1109 12:00:57.919557  7740 tf_logging.py:115] global step 173: loss = 12.5532 (0.369 sec/step)
INFO:tensorflow:global step 174: loss = 13.3306 (0.328 sec/step)
I1109 12:00:58.248665  7740 tf_logging.py:115] global step 174: loss = 13.3306 (0.328 sec/step)
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, Incompatible shapes: [2,1917] vs. [3,1]
         [[node Loss/Match/cond/mul_4 (defined at C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py:175)  = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Loss/Match/cond/one_hot, Loss/Match/cond/Cast_2)]]
         [[{{node gradients/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm_grad/FusedBatchNormGrad/_1497}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2718_...chNormGrad", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Caused by op 'Loss/Match/cond/mul_4', defined at:
  File "train.py", line 184, in <module>
    tf.app.run()
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\platform\app.py", line 125, in run
    _sys.exit(main(argv))
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 306, in new_func
    return func(*args, **kwargs)
  File "train.py", line 180, in main
    graph_hook_fn=graph_rewriter_fn)
  File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 290, in train
    clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
  File "C:\tensorflow1\models\research\slim\deployment\model_deploy.py", line 193, in create_clones
    outputs = model_fn(*args, **kwargs)
  File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 205, in _create_losses
    losses_dict = detection_model.loss(prediction_dict, true_image_shapes)
  File "C:\tensorflow1\models\research\object_detection\meta_architectures\ssd_meta_arch.py", line 680, in loss
    keypoints, weights)
  File "C:\tensorflow1\models\research\object_detection\meta_architectures\ssd_meta_arch.py", line 853, in _assign_targets
    groundtruth_weights_list)
  File "C:\tensorflow1\models\research\object_detection\core\target_assigner.py", line 483, in batch_assign_targets
    anchors, gt_boxes, gt_class_targets, unmatched_class_label, gt_weights)
  File "C:\tensorflow1\models\research\object_detection\core\target_assigner.py", line 182, in assign
    valid_rows=tf.greater(groundtruth_weights, 0))
  File "C:\tensorflow1\models\research\object_detection\core\matcher.py", line 241, in match
    return Match(self._match(similarity_matrix, valid_rows),
  File "C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py", line 194, in _match
    _match_when_rows_are_non_empty, _match_when_rows_are_empty)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
    return func(*args, **kwargs)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\control_flow_ops.py", line 2086, in cond
    orig_res_t, res_t = context_t.BuildCondBranch(true_fn)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\control_flow_ops.py", line 1930, in BuildCondBranch
    original_result = fn()
  File "C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py", line 175, in _match_when_rows_are_non_empty
    tf.cast(tf.expand_dims(valid_rows, axis=-1), dtype=tf.float32))
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\math_ops.py", line 866, in binary_op_wrapper
    return func(x, y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\math_ops.py", line 1131, in _mul_dispatch
    return gen_math_ops.mul(x, y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\gen_math_ops.py", line 5358, in mul
    "Mul", x=x, y=y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
    return func(*args, **kwargs)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\ops.py", line 3274, in create_op
    op_def=op_def)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\ops.py", line 1770, in __init__
    self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Incompatible shapes: [2,1917] vs. [3,1]
         [[node Loss/Match/cond/mul_4 (defined at C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py:175)  = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Loss/Match/cond/one_hot, Loss/Match/cond/Cast_2)]]
         [[{{node gradients/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm_grad/FusedBatchNormGrad/_1497}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2718_...chNormGrad", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

I1109 12:00:58.279880  7740 tf_logging.py:115] Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, Incompatible shapes: [2,1917] vs. [3,1]
         [[node Loss/Match/cond/mul_4 (defined at C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py:175)  = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Loss/Match/cond/one_hot, Loss/Match/cond/Cast_2)]]
         [[{{node gradients/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm_grad/FusedBatchNormGrad/_1497}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2718_...chNormGrad", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Caused by op 'Loss/Match/cond/mul_4', defined at:
  File "train.py", line 184, in <module>
    tf.app.run()
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\platform\app.py", line 125, in run
    _sys.exit(main(argv))
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 306, in new_func
    return func(*args, **kwargs)
  File "train.py", line 180, in main
    graph_hook_fn=graph_rewriter_fn)
  File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 290, in train
    clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
  File "C:\tensorflow1\models\research\slim\deployment\model_deploy.py", line 193, in create_clones
    outputs = model_fn(*args, **kwargs)
  File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 205, in _create_losses
    losses_dict = detection_model.loss(prediction_dict, true_image_shapes)
  File "C:\tensorflow1\models\research\object_detection\meta_architectures\ssd_meta_arch.py", line 680, in loss
    keypoints, weights)
  File "C:\tensorflow1\models\research\object_detection\meta_architectures\ssd_meta_arch.py", line 853, in _assign_targets
    groundtruth_weights_list)
  File "C:\tensorflow1\models\research\object_detection\core\target_assigner.py", line 483, in batch_assign_targets
    anchors, gt_boxes, gt_class_targets, unmatched_class_label, gt_weights)
  File "C:\tensorflow1\models\research\object_detection\core\target_assigner.py", line 182, in assign
    valid_rows=tf.greater(groundtruth_weights, 0))
  File "C:\tensorflow1\models\research\object_detection\core\matcher.py", line 241, in match
    return Match(self._match(similarity_matrix, valid_rows),
  File "C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py", line 194, in _match
    _match_when_rows_are_non_empty, _match_when_rows_are_empty)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
    return func(*args, **kwargs)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\control_flow_ops.py", line 2086, in cond
    orig_res_t, res_t = context_t.BuildCondBranch(true_fn)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\control_flow_ops.py", line 1930, in BuildCondBranch
    original_result = fn()
  File "C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py", line 175, in _match_when_rows_are_non_empty
    tf.cast(tf.expand_dims(valid_rows, axis=-1), dtype=tf.float32))
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\math_ops.py", line 866, in binary_op_wrapper
    return func(x, y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\math_ops.py", line 1131, in _mul_dispatch
    return gen_math_ops.mul(x, y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\gen_math_ops.py", line 5358, in mul
    "Mul", x=x, y=y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
    return func(*args, **kwargs)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\ops.py", line 3274, in create_op
    op_def=op_def)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\ops.py", line 1770, in __init__
    self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Incompatible shapes: [2,1917] vs. [3,1]
         [[node Loss/Match/cond/mul_4 (defined at C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py:175)  = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Loss/Match/cond/one_hot, Loss/Match/cond/Cast_2)]]
         [[{{node gradients/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm_grad/FusedBatchNormGrad/_1497}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2718_...chNormGrad", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Traceback (most recent call last):
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call
    return fn(*args)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [2,1917] vs. [3,1]
         [[{{node Loss/Match/cond/mul_4}} = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Loss/Match/cond/one_hot, Loss/Match/cond/Cast_2)]]
         [[{{node gradients/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm_grad/FusedBatchNormGrad/_1497}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2718_...chNormGrad", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "train.py", line 184, in <module>
    tf.app.run()
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\platform\app.py", line 125, in run
    _sys.exit(main(argv))
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 306, in new_func
    return func(*args, **kwargs)
  File "train.py", line 180, in main
    graph_hook_fn=graph_rewriter_fn)
  File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 415, in train
    saver=saver)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\contrib\slim\python\slim\learning.py", line 770, in train
    sess, train_op, global_step, train_step_kwargs)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\contrib\slim\python\slim\learning.py", line 487, in train_step
    run_metadata=run_metadata)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\client\session.py", line 929, in run
    run_metadata_ptr)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\client\session.py", line 1152, in _run
    feed_dict_tensor, options, run_metadata)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run
    run_metadata)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [2,1917] vs. [3,1]
         [[node Loss/Match/cond/mul_4 (defined at C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py:175)  = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Loss/Match/cond/one_hot, Loss/Match/cond/Cast_2)]]
         [[{{node gradients/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm_grad/FusedBatchNormGrad/_1497}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2718_...chNormGrad", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Caused by op 'Loss/Match/cond/mul_4', defined at:
  File "train.py", line 184, in <module>
    tf.app.run()
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\platform\app.py", line 125, in run
    _sys.exit(main(argv))
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 306, in new_func
    return func(*args, **kwargs)
  File "train.py", line 180, in main
    graph_hook_fn=graph_rewriter_fn)
  File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 290, in train
    clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
  File "C:\tensorflow1\models\research\slim\deployment\model_deploy.py", line 193, in create_clones
    outputs = model_fn(*args, **kwargs)
  File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 205, in _create_losses
    losses_dict = detection_model.loss(prediction_dict, true_image_shapes)
  File "C:\tensorflow1\models\research\object_detection\meta_architectures\ssd_meta_arch.py", line 680, in loss
    keypoints, weights)
  File "C:\tensorflow1\models\research\object_detection\meta_architectures\ssd_meta_arch.py", line 853, in _assign_targets
    groundtruth_weights_list)
  File "C:\tensorflow1\models\research\object_detection\core\target_assigner.py", line 483, in batch_assign_targets
    anchors, gt_boxes, gt_class_targets, unmatched_class_label, gt_weights)
  File "C:\tensorflow1\models\research\object_detection\core\target_assigner.py", line 182, in assign
    valid_rows=tf.greater(groundtruth_weights, 0))
  File "C:\tensorflow1\models\research\object_detection\core\matcher.py", line 241, in match
    return Match(self._match(similarity_matrix, valid_rows),
  File "C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py", line 194, in _match
    _match_when_rows_are_non_empty, _match_when_rows_are_empty)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
    return func(*args, **kwargs)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\control_flow_ops.py", line 2086, in cond
    orig_res_t, res_t = context_t.BuildCondBranch(true_fn)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\control_flow_ops.py", line 1930, in BuildCondBranch
    original_result = fn()
  File "C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py", line 175, in _match_when_rows_are_non_empty
    tf.cast(tf.expand_dims(valid_rows, axis=-1), dtype=tf.float32))
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\math_ops.py", line 866, in binary_op_wrapper
    return func(x, y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\math_ops.py", line 1131, in _mul_dispatch
    return gen_math_ops.mul(x, y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\ops\gen_math_ops.py", line 5358, in mul
    "Mul", x=x, y=y, name=name)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
    return func(*args, **kwargs)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\ops.py", line 3274, in create_op
    op_def=op_def)
  File "C:\Users\Admin\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\framework\ops.py", line 1770, in __init__
    self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Incompatible shapes: [2,1917] vs. [3,1]
         [[node Loss/Match/cond/mul_4 (defined at C:\tensorflow1\models\research\object_detection\matchers\argmax_matcher.py:175)  = Mul[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](Loss/Match/cond/one_hot, Loss/Match/cond/Cast_2)]]
         [[{{node gradients/FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_128/BatchNorm/FusedBatchNorm_grad/FusedBatchNormGrad/_1497}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_2718_...chNormGrad", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

[anonym24]

seems issue related to #5391

[anonym24]

I guess legacy train.py isn't going to be updated, so the only solution is to use model_train.py

[Madhukaran]

You have broken the serialized dataset(i.e, data corroupt) further training models could be added. thus delete the model and train from the fresh

[EthiopianOne]

Hey guys, I had the same issue, and after a loooong annoying searching and trying to debug it worked for me when i switched to model_main.py.

get rid of that evil legacy\train.py.