mask rcnn inception resenet v2 error in train model

anybody face this issue while training mask rcnn inception resnet v2?
here is my pipeline.config

`Mask R-CNN with Inception Resnet v2 (no atrous)
Sync-trained on COCO (with 8 GPUs) with batch size 16 (1024x1024 resolution)
Initialized from Imagenet classification checkpoint
TF2-Compatible, Not TPU-Compatible

Achieves XXX mAP on COCO

model {
faster_rcnn {
number_of_stages: 3
num_classes: 3
image_resizer {
fixed_shape_resizer {
height: 1024
width: 1024
# pad_to_max_dimension: true
}
}
feature_extractor {
type: 'faster_rcnn_inception_resnet_v2_keras'
}
first_stage_anchor_generator {
grid_anchor_generator {
scales: [0.25, 0.5, 1.0, 2.0]
aspect_ratios: [0.5, 1.0, 2.0]
height_stride: 16
width_stride: 16
}
}
first_stage_box_predictor_conv_hyperparams {
op: CONV
regularizer {
l2_regularizer {
weight: 0.0
}
}
initializer {
truncated_normal_initializer {
stddev: 0.01
}
}
}
first_stage_nms_score_threshold: 0.0
first_stage_nms_iou_threshold: 0.7
first_stage_max_proposals: 300
first_stage_localization_loss_weight: 2.0
first_stage_objectness_loss_weight: 1.0
initial_crop_size: 17
maxpool_kernel_size: 1
maxpool_stride: 1
second_stage_box_predictor {
mask_rcnn_box_predictor {
use_dropout: false
dropout_keep_probability: 1.0
fc_hyperparams {
op: FC
regularizer {
l2_regularizer {
weight: 0.0
}
}
initializer {
variance_scaling_initializer {
factor: 1.0
uniform: true
mode: FAN_AVG
}
}
}
mask_height: 33
mask_width: 33
mask_prediction_conv_depth: 0
mask_prediction_num_conv_layers: 4
conv_hyperparams {
op: CONV
regularizer {
l2_regularizer {
weight: 0.0
}
}
initializer {
truncated_normal_initializer {
stddev: 0.01
}
}
}
predict_instance_masks: true
}
}
second_stage_post_processing {
batch_non_max_suppression {
score_threshold: 0.0
iou_threshold: 0.6
max_detections_per_class: 100
max_total_detections: 100
}
score_converter: SOFTMAX
}
second_stage_localization_loss_weight: 2.0
second_stage_classification_loss_weight: 1.0
second_stage_mask_prediction_loss_weight: 4.0
resize_masks: false
}
}

train_config: {
batch_size: 5
num_steps: 200000
optimizer {
momentum_optimizer: {
learning_rate: {
cosine_decay_learning_rate {
learning_rate_base: 0.008
total_steps: 200000
warmup_learning_rate: 0.0
warmup_steps: 5000
}
}
momentum_optimizer_value: 0.9
}
use_moving_average: false
}
gradient_clipping_by_norm: 10.0
fine_tune_checkpoint: "path/to/mymodel/checkpoint"
data_augmentation_options {
random_horizontal_flip {
}
}
}

train_input_reader: {
tf_record_input_reader {
input_path: "annotations/train.record"
}
load_instance_masks: true
mask_type: PNG_MASKS
}

eval_config: {
metrics_set: "coco_detection_metrics"
metrics_set: "coco_mask_metrics"
eval_instance_masks: true
use_moving_averages: false
batch_size: 1
include_metrics_per_category: true
}

eval_input_reader: {
label_map_path: "annotations/label_map.pbtxt"
shuffle: false
num_epochs: 1
tf_record_input_reader {
input_path: "annotations/test.record"
}
load_instance_masks: true
mask_type: PNG_MASKS
}`

but im getting this error
raceback (most recent call last): File "model_main_tf2.py", line 113, in <module> tf.compat.v1.app.run() File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 300, in run _run_main(main, args) File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 251, in _run_main sys.exit(main(argv)) File "model_main_tf2.py", line 110, in main record_summaries=FLAGS.record_summaries) File "/usr/local/lib/python3.6/dist-packages/object_detection-0.1-py3.6.egg/object_detection/model_lib_v2.py", line 566, in train_loop unpad_groundtruth_tensors) File "/usr/local/lib/python3.6/dist-packages/object_detection-0.1-py3.6.egg/object_detection/model_lib_v2.py", line 344, in load_fine_tune_checkpoint features, labels = iter(input_dataset).next() File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/input_lib.py", line 645, in next return self.__next__() File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/input_lib.py", line 649, in __next__ return self.get_next() File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/input_lib.py", line 694, in get_next self._iterators[i].get_next_as_list_static_shapes(new_name)) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/input_lib.py", line 1474, in get_next_as_list_static_shapes return self._iterator.get_next() File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/multi_device_iterator_ops.py", line 581, in get_next result.append(self._device_iterators[i].get_next()) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/iterator_ops.py", line 825, in get_next return self._next_internal() File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/data/ops/iterator_ops.py", line 764, in _next_internal return structure.from_compatible_tensor_list(self._element_spec, ret) File "/usr/lib/python3.6/contextlib.py", line 99, in __exit__ self.gen.throw(type, value, traceback) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/context.py", line 2105, in execution_mode executor_new.wait() File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/eager/executor.py", line 67, in wait pywrap_tfe.TFE_ExecutorWaitForAllPendingNodes(self._handle) tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[0] = 0 is not in [0, 0) [[{{node GatherV2_7}}]] [[MultiDeviceIteratorGetNextFromShard]] [[RemoteCall]]