Run detectnet_v2.ipynb error with my own data

I can run detectnet_v2.ipynb all the code with its default data,

however, when I change data in cv_sample/data/training with my own data, it can not work.

I run this cell:

!tao detectnet_v2 train -e $SPECS_DIR/detectnet_v2_train_resnet18_kitti.txt \
                        -r $USER_EXPERIMENT_DIR/experiment_dir_unpruned \
                        -k $KEY \
                        -n resnet18_detector \
                        --gpus $NUM_GPUS

then it prints:

tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
  (0) Invalid argument: bboxes class ID out of range [0, 3[, got-1
	 [[{{node BboxRasterizer/RasterizeBbox}}]]
	 [[resnet18_nopool_bn_detectnet_v2/block_1a_bn_shortcut/AssignMovingAvg_1/_3755]]
  (1) Invalid argument: bboxes class ID out of range [0, 3[, got-1
	 [[{{node BboxRasterizer/RasterizeBbox}}]]
0 successful operations.
0 derived errors ignored.

how can I fix it?

Did you generate tfrecord files for your own data?

yes, of course

I run this code before:

!tao detectnet_v2 dataset_convert \
                  -d $SPECS_DIR/detectnet_v2_tfrecords_kitti_trainval.txt \
                  -o $DATA_DOWNLOAD_DIR/tfrecords/kitti_trainval/kitti_trainval

and result can be seen:

!ls -rlt $LOCAL_DATA_DIR/tfrecords/kitti_trainval/
total 248
-rw-r--r-- 1 root root  3027 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00000-of-00010
-rw-r--r-- 1 root root  3025 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00001-of-00010
-rw-r--r-- 1 root root  3024 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00002-of-00010
-rw-r--r-- 1 root root  3027 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00003-of-00010
-rw-r--r-- 1 root root  3026 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00004-of-00010
-rw-r--r-- 1 root root  3025 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00005-of-00010
-rw-r--r-- 1 root root  3026 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00006-of-00010
-rw-r--r-- 1 root root  3025 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00007-of-00010
-rw-r--r-- 1 root root  3026 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00008-of-00010
-rw-r--r-- 1 root root  4839 2月  15 16:03 kitti_trainval-fold-000-of-002-shard-00009-of-00010
-rw-r--r-- 1 root root 19362 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00000-of-00010
-rw-r--r-- 1 root root 19366 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00001-of-00010
-rw-r--r-- 1 root root 19362 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00002-of-00010
-rw-r--r-- 1 root root 19365 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00003-of-00010
-rw-r--r-- 1 root root 19364 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00004-of-00010
-rw-r--r-- 1 root root 19359 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00005-of-00010
-rw-r--r-- 1 root root 19364 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00006-of-00010
-rw-r--r-- 1 root root 19362 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00007-of-00010
-rw-r--r-- 1 root root 19364 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00008-of-00010
-rw-r--r-- 1 root root 23598 2月  15 16:03 kitti_trainval-fold-001-of-002-shard-00009-of-00010

I run detectnet_v2.ipynb step by step.

Could you share the log when you run above “!tao detectnet_v2 dataset_convert” ?

After running the code, it prints:

Converting Tfrecords for kitti trainval dataset
2022-02-16 14:26:31,913 [INFO] root: Registry: ['nvcr.io']
2022-02-16 14:26:32,077 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.4-py3
2022-02-16 14:26:32,708 [WARNING] tlt.components.docker_handler.docker_handler: 
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the "user":"UID:GID" in the
DockerOptions portion of the "/root/.tao_mounts.json" file. You can obtain your
users UID and GID by using the "id -u" and "id -g" commands on the
terminal.
Using TensorFlow backend.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
2022-02-16 06:26:41,630 [INFO] iva.detectnet_v2.dataio.build_converter: Instantiating a kitti converter
2022-02-16 06:26:41,630 [INFO] root: Instantiating a kitti converter
2022-02-16 06:26:41,631 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Creating output directory /workspace/tao-experiments/data/tfrecords/kitti_trainval
2022-02-16 06:26:41,631 [INFO] root: Generating partitions
2022-02-16 06:26:41,632 [INFO] iva.detectnet_v2.dataio.kitti_converter_lib: Num images in
Train: 327	Val: 53
2022-02-16 06:26:41,633 [INFO] root: Num images in
Train: 327	Val: 53
2022-02-16 06:26:41,633 [INFO] iva.detectnet_v2.dataio.kitti_converter_lib: Validation data in partition 0. Hence, while choosing the validationset during training choose validation_fold 0.
2022-02-16 06:26:41,633 [INFO] root: Validation data in partition 0. Hence, while choosing the validationset during training choose validation_fold 0.
2022-02-16 06:26:41,633 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 0
2022-02-16 06:26:41,633 [INFO] root: Writing partition 0, shard 0
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/dataio/dataset_converter_lib.py:161: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.

2022-02-16 06:26:41,633 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/dataio/dataset_converter_lib.py:161: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.

/usr/local/lib/python3.6/dist-packages/iva/detectnet_v2/dataio/kitti_converter_lib.py:297: VisibleDeprecationWarning: Reading unicode strings without specifying the encoding argument is deprecated. Set the encoding, use None for the system default.
2022-02-16 06:26:41,647 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 1
2022-02-16 06:26:41,647 [INFO] root: Writing partition 0, shard 1
2022-02-16 06:26:41,652 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 2
2022-02-16 06:26:41,652 [INFO] root: Writing partition 0, shard 2
2022-02-16 06:26:41,658 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 3
2022-02-16 06:26:41,658 [INFO] root: Writing partition 0, shard 3
2022-02-16 06:26:41,664 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 4
2022-02-16 06:26:41,665 [INFO] root: Writing partition 0, shard 4
2022-02-16 06:26:41,670 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 5
2022-02-16 06:26:41,670 [INFO] root: Writing partition 0, shard 5
2022-02-16 06:26:41,678 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 6
2022-02-16 06:26:41,678 [INFO] root: Writing partition 0, shard 6
2022-02-16 06:26:41,683 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 7
2022-02-16 06:26:41,683 [INFO] root: Writing partition 0, shard 7
2022-02-16 06:26:41,689 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 8
2022-02-16 06:26:41,689 [INFO] root: Writing partition 0, shard 8
2022-02-16 06:26:41,695 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 0, shard 9
2022-02-16 06:26:41,695 [INFO] root: Writing partition 0, shard 9
2022-02-16 06:26:41,704 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: 
Wrote the following numbers of objects:
b'city': 53

2022-02-16 06:26:41,704 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 0
2022-02-16 06:26:41,704 [INFO] root: Writing partition 1, shard 0
2022-02-16 06:26:41,741 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 1
2022-02-16 06:26:41,741 [INFO] root: Writing partition 1, shard 1
2022-02-16 06:26:41,778 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 2
2022-02-16 06:26:41,778 [INFO] root: Writing partition 1, shard 2
2022-02-16 06:26:41,815 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 3
2022-02-16 06:26:41,815 [INFO] root: Writing partition 1, shard 3
2022-02-16 06:26:41,853 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 4
2022-02-16 06:26:41,853 [INFO] root: Writing partition 1, shard 4
2022-02-16 06:26:41,890 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 5
2022-02-16 06:26:41,890 [INFO] root: Writing partition 1, shard 5
2022-02-16 06:26:41,927 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 6
2022-02-16 06:26:41,927 [INFO] root: Writing partition 1, shard 6
2022-02-16 06:26:41,965 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 7
2022-02-16 06:26:41,966 [INFO] root: Writing partition 1, shard 7
2022-02-16 06:26:42,002 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 8
2022-02-16 06:26:42,002 [INFO] root: Writing partition 1, shard 8
2022-02-16 06:26:42,037 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Writing partition 1, shard 9
2022-02-16 06:26:42,037 [INFO] root: Writing partition 1, shard 9
2022-02-16 06:26:42,081 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: 
Wrote the following numbers of objects:
b'city': 327

2022-02-16 06:26:42,081 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Cumulative object statistics
2022-02-16 06:26:42,081 [INFO] root: Cumulative object statistics
2022-02-16 06:26:42,081 [INFO] root: {
    "city": 380
}
2022-02-16 06:26:42,081 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: 
Wrote the following numbers of objects:
b'city': 380

2022-02-16 06:26:42,081 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Class map. 
Label in GT: Label in tfrecords file 
b'city': b'city'
2022-02-16 06:26:42,081 [INFO] root: Class map. 
Label in GT: Label in tfrecords file 
b'city': b'city'
For the dataset_config in the experiment_spec, please use labels in the tfrecords file, while writing the classmap.

2022-02-16 06:26:42,081 [INFO] root: For the dataset_config in the experiment_spec, please use labels in the tfrecords file, while writing the classmap.

2022-02-16 06:26:42,081 [INFO] iva.detectnet_v2.dataio.dataset_converter_lib: Tfrecords generation complete.
2022-02-16 06:26:42,081 [INFO] root: TFRecords generation complete.
2022-02-16 14:26:43,674 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

So you are training one class “city”, did you set correctly in the detectnet_v2_train_resnet18_kitti.txt ?

yes, only one class: “city”

this is the detectnet_v2_train_resnet18_kitti.txt:

random_seed: 42
dataset_config {
  data_sources {
    tfrecords_path: "/workspace/tao-experiments/data/tfrecords/kitti_trainval/*"
    image_directory_path: "/workspace/tao-experiments/data/training"
  }
  image_extension: "jpg"
  target_class_mapping {
    key: "city"
    value: "city"
  }
  validation_fold: 0
}
augmentation_config {
  preprocessing {
    output_image_width: 1248
    output_image_height: 384
    min_bbox_width: 1.0
    min_bbox_height: 1.0
    output_image_channel: 3
  }
  spatial_augmentation {
    hflip_probability: 0.5
    zoom_min: 1.0
    zoom_max: 1.0
    translate_max_x: 8.0
    translate_max_y: 8.0
  }
  color_augmentation {
    hue_rotation_max: 25.0
    saturation_shift_max: 0.20000000298
    contrast_scale_max: 0.10000000149
    contrast_center: 0.5
  }
}
postprocessing_config {
  target_class_config {
    key: "car"
    value {
      clustering_config {
        clustering_algorithm: DBSCAN
        dbscan_confidence_threshold: 0.9
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "cyclist"
    value {
      clustering_config {
        clustering_algorithm: DBSCAN
        dbscan_confidence_threshold: 0.9
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.15000000596
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "pedestrian"
    value {
      clustering_config {
        clustering_algorithm: DBSCAN
        dbscan_confidence_threshold: 0.9
        coverage_threshold: 0.00749999983236
        dbscan_eps: 0.230000004172
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
}
model_config {
  pretrained_model_file: "/workspace/tao-experiments/detectnet_v2/pretrained_resnet18/pretrained_detectnet_v2_vresnet18/resnet18.hdf5"
  num_layers: 18
  use_batch_norm: true
  objective_set {
    bbox {
      scale: 35.0
      offset: 0.5
    }
    cov {
    }
  }
  arch: "resnet"
}
evaluation_config {
  validation_period_during_training: 10
  first_validation_epoch: 30
  minimum_detection_ground_truth_overlap {
    key: "car"
    value: 0.699999988079
  }
  minimum_detection_ground_truth_overlap {
    key: "cyclist"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "pedestrian"
    value: 0.5
  }
  evaluation_box_config {
    key: "car"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "cyclist"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "pedestrian"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  average_precision_mode: INTEGRATE
}
cost_function_config {
  target_classes {
    name: "car"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "cyclist"
    class_weight: 8.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 1.0
    }
  }
  target_classes {
    name: "pedestrian"
    class_weight: 4.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  enable_autoweighting: true
  max_objective_weight: 0.999899983406
  min_objective_weight: 9.99999974738e-05
}
training_config {
  batch_size_per_gpu: 4
  num_epochs: 120
  learning_rate {
    soft_start_annealing_schedule {
      min_learning_rate: 5e-06
      max_learning_rate: 5e-04
      soft_start: 0.10000000149
      annealing: 0.699999988079
    }
  }
  regularizer {
    type: L1
    weight: 3.00000002618e-09
  }
  optimizer {
    adam {
      epsilon: 9.99999993923e-09
      beta1: 0.899999976158
      beta2: 0.999000012875
    }
  }
  cost_scaling {
    initial_exponent: 20.0
    increment: 0.005
    decrement: 1.0
  }
  checkpoint_interval: 10
}
bbox_rasterizer_config {
  target_class_config {
    key: "car"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 0.40000000596
      cov_radius_y: 0.40000000596
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "cyclist"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "pedestrian"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  deadzone_radius: 0.400000154972
}

Is there something wrong with output_image_width or output_image_height?

There are some other info like

postprocessing_config {
target_class_config {
key: “car”

The sample spec file are training 3 classes. But you are training 1 class.
A simple way is that you can replace all the “car” with “city”. And then remove other 2 classes in original spec file.

For output_image_width or output_image_height, firstly, make sure your training images have the same resolution. Then set it in output_image_width or output_image_height.

after doing this, it still can’t work.

when running !tao detectnet_v2 train, it prints:

2022-02-16 15:07:22,015 [INFO] root: Registry: ['nvcr.io']
2022-02-16 15:07:22,180 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.4-py3
2022-02-16 15:07:22,822 [WARNING] tlt.components.docker_handler.docker_handler: 
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the "user":"UID:GID" in the
DockerOptions portion of the "/root/.tao_mounts.json" file. You can obtain your
users UID and GID by using the "id -u" and "id -g" commands on the
terminal.
Using TensorFlow backend.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:43: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.

2022-02-16 07:07:31,654 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:43: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/checkpoint_saver_hook.py:25: The name tf.train.CheckpointSaverHook is deprecated. Please use tf.estimator.CheckpointSaverHook instead.

2022-02-16 07:07:31,776 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/checkpoint_saver_hook.py:25: The name tf.train.CheckpointSaverHook is deprecated. Please use tf.estimator.CheckpointSaverHook instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.

2022-02-16 07:07:31,778 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.INFO is deprecated. Please use tf.compat.v1.logging.INFO instead.

2022-02-16 07:07:31,779 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.INFO is deprecated. Please use tf.compat.v1.logging.INFO instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:117: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

2022-02-16 07:07:31,787 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:117: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:143: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

2022-02-16 07:07:31,787 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:143: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

2022-02-16 07:07:33,022 [INFO] iva.common.logging.logging: Log file already exists at /workspace/tao-experiments/detectnet_v2/experiment_dir_unpruned/status.json
2022-02-16 07:07:33,023 [INFO] __main__: Loading experiment spec at /workspace/tao-experiments/detectnet_v2/specs/detectnet_v2_train_resnet18_kitti.txt.
2022-02-16 07:07:33,028 [INFO] iva.detectnet_v2.spec_handler.spec_loader: Merging specification from /workspace/tao-experiments/detectnet_v2/specs/detectnet_v2_train_resnet18_kitti.txt
2022-02-16 07:07:33,271 [INFO] __main__: Cannot iterate over exactly 327 samples with a batch size of 4; each epoch will therefore take one extra step.
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:107: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

2022-02-16 07:07:33,274 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:107: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:110: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

2022-02-16 07:07:33,274 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:110: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:113: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

2022-02-16 07:07:33,277 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:113: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2022-02-16 07:07:33,305 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

2022-02-16 07:07:33,307 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.

2022-02-16 07:07:33,334 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.

WARNING:tensorflow:From /opt/nvidia/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.

2022-02-16 07:07:34,723 [WARNING] tensorflow: From /opt/nvidia/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

2022-02-16 07:07:35,039 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

2022-02-16 07:07:35,040 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

2022-02-16 07:07:35,419 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

2022-02-16 07:07:44,398 [INFO] iva.detectnet_v2.objectives.bbox_objective: Default L1 loss function will be used.
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            (None, 3, 3024, 4032 0                                            
__________________________________________________________________________________________________
conv1 (Conv2D)                  (None, 64, 1512, 201 9472        input_1[0][0]                    
__________________________________________________________________________________________________
bn_conv1 (BatchNormalization)   (None, 64, 1512, 201 256         conv1[0][0]                      
__________________________________________________________________________________________________
activation_1 (Activation)       (None, 64, 1512, 201 0           bn_conv1[0][0]                   
__________________________________________________________________________________________________
block_1a_conv_1 (Conv2D)        (None, 64, 756, 1008 36928       activation_1[0][0]               
__________________________________________________________________________________________________
block_1a_bn_1 (BatchNormalizati (None, 64, 756, 1008 256         block_1a_conv_1[0][0]            
__________________________________________________________________________________________________
block_1a_relu_1 (Activation)    (None, 64, 756, 1008 0           block_1a_bn_1[0][0]              
__________________________________________________________________________________________________
block_1a_conv_2 (Conv2D)        (None, 64, 756, 1008 36928       block_1a_relu_1[0][0]            
__________________________________________________________________________________________________
block_1a_conv_shortcut (Conv2D) (None, 64, 756, 1008 4160        activation_1[0][0]               
__________________________________________________________________________________________________
block_1a_bn_2 (BatchNormalizati (None, 64, 756, 1008 256         block_1a_conv_2[0][0]            
__________________________________________________________________________________________________
block_1a_bn_shortcut (BatchNorm (None, 64, 756, 1008 256         block_1a_conv_shortcut[0][0]     
__________________________________________________________________________________________________
add_1 (Add)                     (None, 64, 756, 1008 0           block_1a_bn_2[0][0]              
                                                                 block_1a_bn_shortcut[0][0]       
__________________________________________________________________________________________________
block_1a_relu (Activation)      (None, 64, 756, 1008 0           add_1[0][0]                      
__________________________________________________________________________________________________
block_1b_conv_1 (Conv2D)        (None, 64, 756, 1008 36928       block_1a_relu[0][0]              
__________________________________________________________________________________________________
block_1b_bn_1 (BatchNormalizati (None, 64, 756, 1008 256         block_1b_conv_1[0][0]            
__________________________________________________________________________________________________
block_1b_relu_1 (Activation)    (None, 64, 756, 1008 0           block_1b_bn_1[0][0]              
__________________________________________________________________________________________________
block_1b_conv_2 (Conv2D)        (None, 64, 756, 1008 36928       block_1b_relu_1[0][0]            
__________________________________________________________________________________________________
block_1b_bn_2 (BatchNormalizati (None, 64, 756, 1008 256         block_1b_conv_2[0][0]            
__________________________________________________________________________________________________
add_2 (Add)                     (None, 64, 756, 1008 0           block_1b_bn_2[0][0]              
                                                                 block_1a_relu[0][0]              
__________________________________________________________________________________________________
block_1b_relu (Activation)      (None, 64, 756, 1008 0           add_2[0][0]                      
__________________________________________________________________________________________________
block_2a_conv_1 (Conv2D)        (None, 128, 378, 504 73856       block_1b_relu[0][0]              
__________________________________________________________________________________________________
block_2a_bn_1 (BatchNormalizati (None, 128, 378, 504 512         block_2a_conv_1[0][0]            
__________________________________________________________________________________________________
block_2a_relu_1 (Activation)    (None, 128, 378, 504 0           block_2a_bn_1[0][0]              
__________________________________________________________________________________________________
block_2a_conv_2 (Conv2D)        (None, 128, 378, 504 147584      block_2a_relu_1[0][0]            
__________________________________________________________________________________________________
block_2a_conv_shortcut (Conv2D) (None, 128, 378, 504 8320        block_1b_relu[0][0]              
__________________________________________________________________________________________________
block_2a_bn_2 (BatchNormalizati (None, 128, 378, 504 512         block_2a_conv_2[0][0]            
__________________________________________________________________________________________________
block_2a_bn_shortcut (BatchNorm (None, 128, 378, 504 512         block_2a_conv_shortcut[0][0]     
__________________________________________________________________________________________________
add_3 (Add)                     (None, 128, 378, 504 0           block_2a_bn_2[0][0]              
                                                                 block_2a_bn_shortcut[0][0]       
__________________________________________________________________________________________________
block_2a_relu (Activation)      (None, 128, 378, 504 0           add_3[0][0]                      
__________________________________________________________________________________________________
block_2b_conv_1 (Conv2D)        (None, 128, 378, 504 147584      block_2a_relu[0][0]              
__________________________________________________________________________________________________
block_2b_bn_1 (BatchNormalizati (None, 128, 378, 504 512         block_2b_conv_1[0][0]            
__________________________________________________________________________________________________
block_2b_relu_1 (Activation)    (None, 128, 378, 504 0           block_2b_bn_1[0][0]              
__________________________________________________________________________________________________
block_2b_conv_2 (Conv2D)        (None, 128, 378, 504 147584      block_2b_relu_1[0][0]            
__________________________________________________________________________________________________
block_2b_bn_2 (BatchNormalizati (None, 128, 378, 504 512         block_2b_conv_2[0][0]            
__________________________________________________________________________________________________
add_4 (Add)                     (None, 128, 378, 504 0           block_2b_bn_2[0][0]              
                                                                 block_2a_relu[0][0]              
__________________________________________________________________________________________________
block_2b_relu (Activation)      (None, 128, 378, 504 0           add_4[0][0]                      
__________________________________________________________________________________________________
block_3a_conv_1 (Conv2D)        (None, 256, 189, 252 295168      block_2b_relu[0][0]              
__________________________________________________________________________________________________
block_3a_bn_1 (BatchNormalizati (None, 256, 189, 252 1024        block_3a_conv_1[0][0]            
__________________________________________________________________________________________________
block_3a_relu_1 (Activation)    (None, 256, 189, 252 0           block_3a_bn_1[0][0]              
__________________________________________________________________________________________________
block_3a_conv_2 (Conv2D)        (None, 256, 189, 252 590080      block_3a_relu_1[0][0]            
__________________________________________________________________________________________________
block_3a_conv_shortcut (Conv2D) (None, 256, 189, 252 33024       block_2b_relu[0][0]              
__________________________________________________________________________________________________
block_3a_bn_2 (BatchNormalizati (None, 256, 189, 252 1024        block_3a_conv_2[0][0]            
__________________________________________________________________________________________________
block_3a_bn_shortcut (BatchNorm (None, 256, 189, 252 1024        block_3a_conv_shortcut[0][0]     
__________________________________________________________________________________________________
add_5 (Add)                     (None, 256, 189, 252 0           block_3a_bn_2[0][0]              
                                                                 block_3a_bn_shortcut[0][0]       
__________________________________________________________________________________________________
block_3a_relu (Activation)      (None, 256, 189, 252 0           add_5[0][0]                      
__________________________________________________________________________________________________
block_3b_conv_1 (Conv2D)        (None, 256, 189, 252 590080      block_3a_relu[0][0]              
__________________________________________________________________________________________________
block_3b_bn_1 (BatchNormalizati (None, 256, 189, 252 1024        block_3b_conv_1[0][0]            
__________________________________________________________________________________________________
block_3b_relu_1 (Activation)    (None, 256, 189, 252 0           block_3b_bn_1[0][0]              
__________________________________________________________________________________________________
block_3b_conv_2 (Conv2D)        (None, 256, 189, 252 590080      block_3b_relu_1[0][0]            
__________________________________________________________________________________________________
block_3b_bn_2 (BatchNormalizati (None, 256, 189, 252 1024        block_3b_conv_2[0][0]            
__________________________________________________________________________________________________
add_6 (Add)                     (None, 256, 189, 252 0           block_3b_bn_2[0][0]              
                                                                 block_3a_relu[0][0]              
__________________________________________________________________________________________________
block_3b_relu (Activation)      (None, 256, 189, 252 0           add_6[0][0]                      
__________________________________________________________________________________________________
block_4a_conv_1 (Conv2D)        (None, 512, 189, 252 1180160     block_3b_relu[0][0]              
__________________________________________________________________________________________________
block_4a_bn_1 (BatchNormalizati (None, 512, 189, 252 2048        block_4a_conv_1[0][0]            
__________________________________________________________________________________________________
block_4a_relu_1 (Activation)    (None, 512, 189, 252 0           block_4a_bn_1[0][0]              
__________________________________________________________________________________________________
block_4a_conv_2 (Conv2D)        (None, 512, 189, 252 2359808     block_4a_relu_1[0][0]            
__________________________________________________________________________________________________
block_4a_conv_shortcut (Conv2D) (None, 512, 189, 252 131584      block_3b_relu[0][0]              
__________________________________________________________________________________________________
block_4a_bn_2 (BatchNormalizati (None, 512, 189, 252 2048        block_4a_conv_2[0][0]            
__________________________________________________________________________________________________
block_4a_bn_shortcut (BatchNorm (None, 512, 189, 252 2048        block_4a_conv_shortcut[0][0]     
__________________________________________________________________________________________________
add_7 (Add)                     (None, 512, 189, 252 0           block_4a_bn_2[0][0]              
                                                                 block_4a_bn_shortcut[0][0]       
__________________________________________________________________________________________________
block_4a_relu (Activation)      (None, 512, 189, 252 0           add_7[0][0]                      
__________________________________________________________________________________________________
block_4b_conv_1 (Conv2D)        (None, 512, 189, 252 2359808     block_4a_relu[0][0]              
__________________________________________________________________________________________________
block_4b_bn_1 (BatchNormalizati (None, 512, 189, 252 2048        block_4b_conv_1[0][0]            
__________________________________________________________________________________________________
block_4b_relu_1 (Activation)    (None, 512, 189, 252 0           block_4b_bn_1[0][0]              
__________________________________________________________________________________________________
block_4b_conv_2 (Conv2D)        (None, 512, 189, 252 2359808     block_4b_relu_1[0][0]            
__________________________________________________________________________________________________
block_4b_bn_2 (BatchNormalizati (None, 512, 189, 252 2048        block_4b_conv_2[0][0]            
__________________________________________________________________________________________________
add_8 (Add)                     (None, 512, 189, 252 0           block_4b_bn_2[0][0]              
                                                                 block_4a_relu[0][0]              
__________________________________________________________________________________________________
block_4b_relu (Activation)      (None, 512, 189, 252 0           add_8[0][0]                      
__________________________________________________________________________________________________
output_bbox (Conv2D)            (None, 4, 189, 252)  2052        block_4b_relu[0][0]              
__________________________________________________________________________________________________
output_cov (Conv2D)             (None, 1, 189, 252)  513         block_4b_relu[0][0]              
==================================================================================================
Total params: 11,197,893
Trainable params: 11,188,165
Non-trainable params: 9,728
__________________________________________________________________________________________________
2022-02-16 07:07:44,442 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Serial augmentation enabled = False
2022-02-16 07:07:44,442 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Pseudo sharding enabled = False
2022-02-16 07:07:44,443 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Max Image Dimensions (all sources): (0, 0)
2022-02-16 07:07:44,443 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: number of cpus: 48, io threads: 96, compute threads: 48, buffered batches: 4
2022-02-16 07:07:44,443 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: total dataset size 327, number of sources: 1, batch size per gpu: 4, steps: 82
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

2022-02-16 07:07:44,499 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

WARNING:tensorflow:Entity <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b72518>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b72518>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:44,559 [WARNING] tensorflow: Entity <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b72518>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b72518>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:44,584 [INFO] iva.detectnet_v2.dataloader.default_dataloader: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates.
2022-02-16 07:07:44,892 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: shuffle: True - shard 0 of 1
2022-02-16 07:07:44,900 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: sampling 1 datasets with weights:
2022-02-16 07:07:44,900 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: source: 0 weight: 1.000000
WARNING:tensorflow:Entity <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f07707ec860>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f07707ec860>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:44,918 [WARNING] tensorflow: Entity <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f07707ec860>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f07707ec860>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:45,357 [INFO] __main__: Found 327 samples in training set
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/rasterizers/bbox_rasterizer.py:347: The name tf.bincount is deprecated. Please use tf.math.bincount instead.

2022-02-16 07:07:45,482 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/rasterizers/bbox_rasterizer.py:347: The name tf.bincount is deprecated. Please use tf.math.bincount instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/training_proto_utilities.py:89: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

2022-02-16 07:07:45,608 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/training_proto_utilities.py:89: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/training_proto_utilities.py:36: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.

2022-02-16 07:07:45,626 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/training_proto_utilities.py:36: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_functions.py:17: The name tf.log is deprecated. Please use tf.math.log instead.

2022-02-16 07:07:45,803 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_functions.py:17: The name tf.log is deprecated. Please use tf.math.log instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:235: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.

2022-02-16 07:07:45,814 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:235: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/model/detectnet_model.py:591: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

2022-02-16 07:07:45,818 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/model/detectnet_model.py:591: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

2022-02-16 07:07:47,480 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Serial augmentation enabled = False
2022-02-16 07:07:47,481 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Pseudo sharding enabled = False
2022-02-16 07:07:47,481 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: Max Image Dimensions (all sources): (0, 0)
2022-02-16 07:07:47,481 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: number of cpus: 48, io threads: 96, compute threads: 48, buffered batches: 4
2022-02-16 07:07:47,481 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: total dataset size 53, number of sources: 1, batch size per gpu: 4, steps: 14
WARNING:tensorflow:Entity <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b724a8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b724a8>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:47,498 [WARNING] tensorflow: Entity <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b724a8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method DriveNetTFRecordsParser.__call__ of <iva.detectnet_v2.dataloader.drivenet_dataloader.DriveNetTFRecordsParser object at 0x7f06e6b724a8>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:47,539 [INFO] iva.detectnet_v2.dataloader.default_dataloader: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates.
2022-02-16 07:07:47,992 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: shuffle: False - shard 0 of 1
2022-02-16 07:07:47,998 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: sampling 1 datasets with weights:
2022-02-16 07:07:47,998 [INFO] modulus.blocks.data_loaders.multi_source_loader.data_loader: source: 0 weight: 1.000000
WARNING:tensorflow:Entity <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f0754308278>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f0754308278>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:48,016 [WARNING] tensorflow: Entity <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f0754308278>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <bound method Processor.__call__ of <modulus.blocks.data_loaders.multi_source_loader.processors.asset_loader.AssetLoader object at 0x7f0754308278>>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
2022-02-16 07:07:48,289 [INFO] __main__: Found 53 samples in validation set
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/validation_hook.py:40: The name tf.summary.FileWriterCache is deprecated. Please use tf.compat.v1.summary.FileWriterCache instead.

2022-02-16 07:07:48,900 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/validation_hook.py:40: The name tf.summary.FileWriterCache is deprecated. Please use tf.compat.v1.summary.FileWriterCache instead.

2022-02-16 07:07:50,232 [INFO] __main__: Checkpoint interval: 10
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:109: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.

2022-02-16 07:07:50,233 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:109: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/common/graph/initializers.py:14: The name tf.local_variables_initializer is deprecated. Please use tf.compat.v1.local_variables_initializer instead.

2022-02-16 07:07:50,233 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/common/graph/initializers.py:14: The name tf.local_variables_initializer is deprecated. Please use tf.compat.v1.local_variables_initializer instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/common/graph/initializers.py:15: The name tf.tables_initializer is deprecated. Please use tf.compat.v1.tables_initializer instead.

2022-02-16 07:07:50,234 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/common/graph/initializers.py:15: The name tf.tables_initializer is deprecated. Please use tf.compat.v1.tables_initializer instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/common/graph/initializers.py:16: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.

2022-02-16 07:07:50,235 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/common/graph/initializers.py:16: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:59: The name tf.train.LoggingTensorHook is deprecated. Please use tf.estimator.LoggingTensorHook instead.

2022-02-16 07:07:50,238 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:59: The name tf.train.LoggingTensorHook is deprecated. Please use tf.estimator.LoggingTensorHook instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:60: The name tf.train.StopAtStepHook is deprecated. Please use tf.estimator.StopAtStepHook instead.

2022-02-16 07:07:50,238 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:60: The name tf.train.StopAtStepHook is deprecated. Please use tf.estimator.StopAtStepHook instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:73: The name tf.train.StepCounterHook is deprecated. Please use tf.estimator.StepCounterHook instead.

2022-02-16 07:07:50,238 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:73: The name tf.train.StepCounterHook is deprecated. Please use tf.estimator.StepCounterHook instead.

INFO:tensorflow:Create CheckpointSaverHook.
2022-02-16 07:07:50,238 [INFO] tensorflow: Create CheckpointSaverHook.
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:99: The name tf.train.SummarySaverHook is deprecated. Please use tf.estimator.SummarySaverHook instead.

2022-02-16 07:07:50,238 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/utils.py:99: The name tf.train.SummarySaverHook is deprecated. Please use tf.estimator.SummarySaverHook instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/utilities.py:140: The name tf.train.SingularMonitoredSession is deprecated. Please use tf.compat.v1.train.SingularMonitoredSession instead.

2022-02-16 07:07:52,780 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/utilities.py:140: The name tf.train.SingularMonitoredSession is deprecated. Please use tf.compat.v1.train.SingularMonitoredSession instead.

INFO:tensorflow:Graph was finalized.
2022-02-16 07:07:53,764 [INFO] tensorflow: Graph was finalized.
INFO:tensorflow:Restoring parameters from /tmp/tmpe9rr80sp/model.ckpt-0
2022-02-16 07:07:54,389 [INFO] tensorflow: Restoring parameters from /tmp/tmpe9rr80sp/model.ckpt-0
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
    target_list, run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found.
  (0) Not found: Key cost_sums/city-bbox not found in checkpoint
	 [[{{node save/RestoreV2}}]]
  (1) Not found: Key cost_sums/city-bbox not found in checkpoint
	 [[{{node save/RestoreV2}}]]
	 [[save/RestoreV2/_637]]
0 successful operations.
0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 1290, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 956, in run
    run_metadata_ptr)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1180, in _run
    feed_dict_tensor, options, run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
    run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found.
  (0) Not found: Key cost_sums/city-bbox not found in checkpoint
	 [[node save/RestoreV2 (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
  (1) Not found: Key cost_sums/city-bbox not found in checkpoint
	 [[node save/RestoreV2 (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
	 [[save/RestoreV2/_637]]
0 successful operations.
0 derived errors ignored.

Original stack trace for 'save/RestoreV2':
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 838, in <module>
  File "<decorator-gen-2>", line 2, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/utilities/timer.py", line 46, in wrapped_fn
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 827, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 708, in run_experiment
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 644, in train_gridbox
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 153, in run_training_loop
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/utilities.py", line 143, in get_singular_monitored_session
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1104, in __init__
    stop_grace_period_secs=stop_grace_period_secs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 727, in __init__
    self._sess = self._coordinated_creator.create_session()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 878, in create_session
    self.tf_sess = self._session_creator.create_session()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 638, in create_session
    self._scaffold.finalize()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 229, in finalize
    self._saver = training_saver._get_saver_or_default()  # pylint: disable=protected-access
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 599, in _get_saver_or_default
    saver = Saver(sharded=True, allow_empty=True)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 828, in __init__
    self.build()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 840, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 878, in _build
    build_restore=build_restore)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 502, in _build_internal
    restore_sequentially, reshape)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 381, in _AddShardedRestoreOps
    name="restore_shard"))
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 328, in _AddRestoreOps
    restore_sequentially)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 575, in bulk_restore
    return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_io_ops.py", line 1696, in restore_v2
    name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py", line 513, in new_func
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
    attrs, op_def, compute_device)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
    self._traceback = tf_stack.extract_stack()


During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 1300, in restore
    names_to_keys = object_graph_key_mapping(save_path)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 1618, in object_graph_key_mapping
    object_graph_string = reader.get_tensor(trackable.OBJECT_GRAPH_PROTO_KEY)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/pywrap_tensorflow_internal.py", line 915, in get_tensor
    return CheckpointReader_GetTensor(self, compat.as_bytes(tensor_str))
tensorflow.python.framework.errors_impl.NotFoundError: Key _CHECKPOINTABLE_OBJECT_GRAPH not found in checkpoint

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 849, in <module>
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 838, in <module>
  File "<decorator-gen-2>", line 2, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/utilities/timer.py", line 46, in wrapped_fn
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 827, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 708, in run_experiment
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 644, in train_gridbox
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 153, in run_training_loop
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/utilities.py", line 143, in get_singular_monitored_session
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1104, in __init__
    stop_grace_period_secs=stop_grace_period_secs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 727, in __init__
    self._sess = self._coordinated_creator.create_session()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 878, in create_session
    self.tf_sess = self._session_creator.create_session()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 647, in create_session
    init_fn=self._scaffold.init_fn)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/session_manager.py", line 290, in prepare_session
    config=config)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/session_manager.py", line 204, in _restore_checkpoint
    saver.restore(sess, checkpoint_filename_with_path)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 1306, in restore
    err, "a Variable name or other graph key that is missing")
tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

2 root error(s) found.
  (0) Not found: Key cost_sums/city-bbox not found in checkpoint
	 [[node save/RestoreV2 (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
  (1) Not found: Key cost_sums/city-bbox not found in checkpoint
	 [[node save/RestoreV2 (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
	 [[save/RestoreV2/_637]]
0 successful operations.
0 derived errors ignored.

Original stack trace for 'save/RestoreV2':
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 838, in <module>
  File "<decorator-gen-2>", line 2, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/utilities/timer.py", line 46, in wrapped_fn
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 827, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 708, in run_experiment
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 644, in train_gridbox
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 153, in run_training_loop
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/utilities.py", line 143, in get_singular_monitored_session
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1104, in __init__
    stop_grace_period_secs=stop_grace_period_secs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 727, in __init__
    self._sess = self._coordinated_creator.create_session()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 878, in create_session
    self.tf_sess = self._session_creator.create_session()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 638, in create_session
    self._scaffold.finalize()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 229, in finalize
    self._saver = training_saver._get_saver_or_default()  # pylint: disable=protected-access
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 599, in _get_saver_or_default
    saver = Saver(sharded=True, allow_empty=True)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 828, in __init__
    self.build()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 840, in build
    self._build(self._filename, build_save=True, build_restore=True)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 878, in _build
    build_restore=build_restore)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 502, in _build_internal
    restore_sequentially, reshape)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 381, in _AddShardedRestoreOps
    name="restore_shard"))
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 328, in _AddRestoreOps
    restore_sequentially)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/saver.py", line 575, in bulk_restore
    return io_ops.restore_v2(filename_tensor, names, slices, dtypes)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_io_ops.py", line 1696, in restore_v2
    name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py", line 513, in new_func
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
    attrs, op_def, compute_device)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
    self._traceback = tf_stack.extract_stack()

ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'IsVariableInitialized_411:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/utilities.py", line 143, in get_singular_monitored_session  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1104, in __init__
    stop_grace_period_secs=stop_grace_period_secs)  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 727, in __init__
    self._sess = self._coordinated_creator.create_session()  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/core/build_wheel.runfiles/ai_infra/moduluspy/modulus/hooks/hooks.py", line 285, in begin  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/tf_should_use.py", line 198, in wrapped
    return _add_should_use_warning(fn(*args, **kwargs))
==================================
2022-02-16 07:07:55,622 [ERROR] tensorflow: ==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'IsVariableInitialized_411:0' shape=() dtype=bool>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/utilities.py", line 143, in get_singular_monitored_session  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1104, in __init__
    stop_grace_period_secs=stop_grace_period_secs)  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 727, in __init__
    self._sess = self._coordinated_creator.create_session()  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/core/build_wheel.runfiles/ai_infra/moduluspy/modulus/hooks/hooks.py", line 285, in begin  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/tf_should_use.py", line 198, in wrapped
    return _add_should_use_warning(fn(*args, **kwargs))
==================================

2022-02-16 15:07:57,849 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

Can you try again with a new result folder?

With a new result folder, run !tao detectnet_v2 train

it turns:

INFO:tensorflow:Graph was finalized.
2022-02-16 07:28:43,412 [INFO] tensorflow: Graph was finalized.
INFO:tensorflow:Running local_init_op.
2022-02-16 07:28:45,823 [INFO] tensorflow: Running local_init_op.
INFO:tensorflow:Done running local_init_op.
2022-02-16 07:28:46,707 [INFO] tensorflow: Done running local_init_op.
INFO:tensorflow:Saving checkpoints for step-0.
2022-02-16 07:28:55,297 [INFO] tensorflow: Saving checkpoints for step-0.
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
    return fn(*args)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
    target_list, run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[4,512,189,252] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
	 [[{{node gradients/resnet18_nopool_bn_detectnet_v2/output_cov/convolution_grad/Conv2DBackpropInput}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.


During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 838, in <module>
  File "<decorator-gen-2>", line 2, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/utilities/timer.py", line 46, in wrapped_fn
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 827, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 708, in run_experiment
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 644, in train_gridbox
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 155, in run_training_loop
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
    run_metadata=run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1360, in run
    raise six.reraise(*original_exc_info)
  File "/usr/local/lib/python3.6/dist-packages/six.py", line 696, in reraise
    raise value
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
    return self._sess.run(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1418, in run
    run_metadata=run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1176, in run
    return self._sess.run(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 956, in run
    run_metadata_ptr)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1180, in _run
    feed_dict_tensor, options, run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
    run_metadata)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[4,512,189,252] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
	 [[node gradients/resnet18_nopool_bn_detectnet_v2/output_cov/convolution_grad/Conv2DBackpropInput (defined at /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.


Original stack trace for 'gradients/resnet18_nopool_bn_detectnet_v2/output_cov/convolution_grad/Conv2DBackpropInput':
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 838, in <module>
  File "<decorator-gen-2>", line 2, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/utilities/timer.py", line 46, in wrapped_fn
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 827, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 708, in run_experiment
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 619, in train_gridbox
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 474, in build_training_graph
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/model/detectnet_model.py", line 602, in build_training_graph
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/train_op_generator.py", line 59, in get_train_op
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/training/train_op_generator.py", line 74, in _get_train_op_without_cost_scaling
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/optimizer.py", line 419, in minimize
    grad_loss=grad_loss)
  File "/usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py", line 253, in compute_gradients
    gradients = self._optimizer.compute_gradients(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/optimizer.py", line 537, in compute_gradients
    colocate_gradients_with_ops=colocate_gradients_with_ops)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gradients_impl.py", line 158, in gradients
    unconnected_gradients)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gradients_util.py", line 703, in _GradientsHelper
    lambda: grad_fn(op, *out_grads))
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gradients_util.py", line 362, in _MaybeCompile
    return grad_fn()  # Exit early
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gradients_util.py", line 703, in <lambda>
    lambda: grad_fn(op, *out_grads))
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/nn_grad.py", line 596, in _Conv2DGrad
    data_format=data_format),
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_nn_ops.py", line 1407, in conv2d_backprop_input
    name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py", line 513, in new_func
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
    attrs, op_def, compute_device)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
    self._traceback = tf_stack.extract_stack()

...which was originally created as op 'resnet18_nopool_bn_detectnet_v2/output_cov/convolution', defined at:
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 838, in <module>
[elided 5 identical lines from previous traceback]
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 474, in build_training_graph
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/model/detectnet_model.py", line 576, in build_training_graph
  File "/usr/local/lib/python3.6/dist-packages/keras/engine/base_layer.py", line 457, in __call__
    output = self.call(inputs, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/keras/engine/network.py", line 564, in call
    output_tensors, _, _ = self.run_internal_graph(inputs, masks)
  File "/usr/local/lib/python3.6/dist-packages/keras/engine/network.py", line 721, in run_internal_graph
    layer.call(computed_tensor, **kwargs))
  File "/usr/local/lib/python3.6/dist-packages/keras/layers/convolutional.py", line 171, in call
    dilation_rate=self.dilation_rate)
  File "/opt/nvidia/third_party/keras/tensorflow_backend.py", line 113, in conv2d
    data_format=tf_data_format,
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/nn_ops.py", line 921, in convolution
    name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/nn_ops.py", line 1032, in convolution_internal
    name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_nn_ops.py", line 1071, in conv2d
    data_format=data_format, dilations=dilations, name=name)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py", line 513, in new_func
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
    attrs, op_def, compute_device)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
    op_def=op_def)
  File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
    self._traceback = tf_stack.extract_stack()


During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 841, in <module>
AttributeError: module 'logging' has no attribute 'getLoggger'
2022-02-16 15:32:29,408 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

I just use a V100, should I add more?

Can you share your training spec?

This is detectnet_v2_train_resnet18_kitti.txt:

random_seed: 42
dataset_config {
  data_sources {
    tfrecords_path: "/workspace/tao-experiments/data/tfrecords/kitti_trainval/*"
    image_directory_path: "/workspace/tao-experiments/data/training"
  }
  image_extension: "jpg"
  target_class_mapping {
    key: "city"
    value: "city"
  }
  validation_fold: 0
}
augmentation_config {
  preprocessing {
    output_image_width: 4032
    output_image_height: 3024
    min_bbox_width: 1.0
    min_bbox_height: 1.0
    output_image_channel: 3
  }
  spatial_augmentation {
    hflip_probability: 0.5
    zoom_min: 1.0
    zoom_max: 1.0
    translate_max_x: 8.0
    translate_max_y: 8.0
  }
  color_augmentation {
    hue_rotation_max: 25.0
    saturation_shift_max: 0.20000000298
    contrast_scale_max: 0.10000000149
    contrast_center: 0.5
  }
}
postprocessing_config {
  target_class_config {
    key: "city"
    value {
      clustering_config {
        clustering_algorithm: DBSCAN
        dbscan_confidence_threshold: 0.9
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }

}
model_config {
  pretrained_model_file: "/workspace/tao-experiments/detectnet_v2/pretrained_resnet18/pretrained_detectnet_v2_vresnet18/resnet18.hdf5"
  num_layers: 18
  use_batch_norm: true
  objective_set {
    bbox {
      scale: 35.0
      offset: 0.5
    }
    cov {
    }
  }
  arch: "resnet"
}
evaluation_config {
  validation_period_during_training: 10
  first_validation_epoch: 30
  minimum_detection_ground_truth_overlap {
    key: "city"
    value: 0.699999988079
  }
  evaluation_box_config {
    key: "city"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  average_precision_mode: INTEGRATE
}
cost_function_config {
  target_classes {
    name: "city"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  enable_autoweighting: true
  max_objective_weight: 0.999899983406
  min_objective_weight: 9.99999974738e-05
}
training_config {
  batch_size_per_gpu: 4
  num_epochs: 120
  learning_rate {
    soft_start_annealing_schedule {
      min_learning_rate: 5e-06
      max_learning_rate: 5e-04
      soft_start: 0.10000000149
      annealing: 0.699999988079
    }
  }
  regularizer {
    type: L1
    weight: 3.00000002618e-09
  }
  optimizer {
    adam {
      epsilon: 9.99999993923e-09
      beta1: 0.899999976158
      beta2: 0.999000012875
    }
  }
  cost_scaling {
    initial_exponent: 20.0
    increment: 0.005
    decrement: 1.0
  }
  checkpoint_interval: 10
}
bbox_rasterizer_config {
  target_class_config {
    key: "city"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 0.40000000596
      cov_radius_y: 0.40000000596
      bbox_min_radius: 1.0
    }
  }

  deadzone_radius: 0.400000154972
}

So, all of your training images are 4032x3024, right?

I change detectnet_v2_train_resnet18_kitti.txt to this:

random_seed: 42
dataset_config {
  data_sources {
    tfrecords_path: "/workspace/tao-experiments/data/tfrecords/kitti_trainval/*"
    image_directory_path: "/workspace/tao-experiments/data/training"
  }
  image_extension: "jpg"
  target_class_mapping {
    key: "city"
    value: "city"
  }
  validation_fold: 0
}
augmentation_config {
  preprocessing {
    output_image_width: 1080
    output_image_height: 1440
    min_bbox_width: 1.0
    min_bbox_height: 1.0
    output_image_channel: 3
  }
  spatial_augmentation {
    hflip_probability: 0.5
    zoom_min: 1.0
    zoom_max: 1.0
    translate_max_x: 8.0
    translate_max_y: 8.0
  }
  color_augmentation {
    hue_rotation_max: 25.0
    saturation_shift_max: 0.20000000298
    contrast_scale_max: 0.10000000149
    contrast_center: 0.5
  }
}
postprocessing_config {
  target_class_config {
    key: "city"
    value {
      clustering_config {
        clustering_algorithm: DBSCAN
        dbscan_confidence_threshold: 0.9
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }

}
model_config {
  pretrained_model_file: "/workspace/tao-experiments/detectnet_v2/pretrained_resnet18/pretrained_detectnet_v2_vresnet18/resnet18.hdf5"
  num_layers: 18
  use_batch_norm: true
  objective_set {
    bbox {
      scale: 35.0
      offset: 0.5
    }
    cov {
    }
  }
  arch: "resnet"
}
evaluation_config {
  validation_period_during_training: 10
  first_validation_epoch: 30
  minimum_detection_ground_truth_overlap {
    key: "city"
    value: 0.699999988079
  }
  evaluation_box_config {
    key: "city"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  average_precision_mode: INTEGRATE
}
cost_function_config {
  target_classes {
    name: "city"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  enable_autoweighting: true
  max_objective_weight: 0.999899983406
  min_objective_weight: 9.99999974738e-05
}
training_config {
  batch_size_per_gpu: 4
  num_epochs: 120
  learning_rate {
    soft_start_annealing_schedule {
      min_learning_rate: 5e-06
      max_learning_rate: 5e-04
      soft_start: 0.10000000149
      annealing: 0.699999988079
    }
  }
  regularizer {
    type: L1
    weight: 3.00000002618e-09
  }
  optimizer {
    adam {
      epsilon: 9.99999993923e-09
      beta1: 0.899999976158
      beta2: 0.999000012875
    }
  }
  cost_scaling {
    initial_exponent: 20.0
    increment: 0.005
    decrement: 1.0
  }
  checkpoint_interval: 10
}
bbox_rasterizer_config {
  target_class_config {
    key: "city"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 0.40000000596
      cov_radius_y: 0.40000000596
      bbox_min_radius: 1.0
    }
  }

  deadzone_radius: 0.400000154972
}

and make all the data to (1440x1080), then it becomes this:

2022-02-16 17:41:05,156 [INFO] root: Registry: ['nvcr.io']
2022-02-16 17:41:05,370 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.4-py3
2022-02-16 17:41:06,014 [WARNING] tlt.components.docker_handler.docker_handler: 
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the "user":"UID:GID" in the
DockerOptions portion of the "/root/.tao_mounts.json" file. You can obtain your
users UID and GID by using the "id -u" and "id -g" commands on the
terminal.
Using TensorFlow backend.
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
Using TensorFlow backend.
WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:43: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.

2022-02-16 09:41:14,946 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/cost_function/cost_auto_weight_hook.py:43: The name tf.train.SessionRunHook is deprecated. Please use tf.estimator.SessionRunHook instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/checkpoint_saver_hook.py:25: The name tf.train.CheckpointSaverHook is deprecated. Please use tf.estimator.CheckpointSaverHook instead.

2022-02-16 09:41:15,071 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/tfhooks/checkpoint_saver_hook.py:25: The name tf.train.CheckpointSaverHook is deprecated. Please use tf.estimator.CheckpointSaverHook instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.

2022-02-16 09:41:15,073 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.set_verbosity is deprecated. Please use tf.compat.v1.logging.set_verbosity instead.

WARNING:tensorflow:From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.INFO is deprecated. Please use tf.compat.v1.logging.INFO instead.

2022-02-16 09:41:15,073 [WARNING] tensorflow: From /opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py:69: The name tf.logging.INFO is deprecated. Please use tf.compat.v1.logging.INFO instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:117: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

2022-02-16 09:41:15,082 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:117: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:143: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

2022-02-16 09:41:15,082 [WARNING] tensorflow: From /usr/local/lib/python3.6/dist-packages/horovod/tensorflow/__init__.py:143: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.

2022-02-16 09:41:16,572 [INFO] __main__: Loading experiment spec at /workspace/tao-experiments/detectnet_v2/specs/detectnet_v2_train_resnet18_kitti.txt.
2022-02-16 09:41:16,574 [INFO] iva.detectnet_v2.spec_handler.spec_loader: Merging specification from /workspace/tao-experiments/detectnet_v2/specs/detectnet_v2_train_resnet18_kitti.txt
2022-02-16 09:41:16,579 [INFO] iva.detectnet_v2.spec_handler.spec_loader: Spec file validation failed.
Experiment Spec Setting Error: output_image_width should % 16. Wrong value: 1080
2022-02-16 09:41:16,579 [INFO] __main__: Training was interrupted.
Time taken to run __main__:main: 0:00:01.505742.
2022-02-16 17:41:19,300 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

Please see DetectNet_v2 — TAO Toolkit 3.21.11 documentation

If all of your images are 4032x3024, you can train a 1008x752 model with below setting.

output_image_width: 1008
output_image_height: 752
enable_auto_resize: True

So, I change detectnet_v2_train_resnet18_kitti.txt to this:

random_seed: 42
dataset_config {
  data_sources {
    tfrecords_path: "/workspace/tao-experiments/data/tfrecords/kitti_trainval/*"
    image_directory_path: "/workspace/tao-experiments/data/training"
  }
  image_extension: "jpg"
  target_class_mapping {
    key: "city"
    value: "city"
  }
  validation_fold: 0
}
augmentation_config {
  preprocessing {
    output_image_width: 1440
    output_image_height: 1080
    enable_auto _resize: True
    min_bbox_width: 1.0
    min_bbox_height: 1.0
    output_image_channel: 3
  }
  spatial_augmentation {
    hflip_probability: 0.5
    zoom_min: 1.0
    zoom_max: 1.0
    translate_max_x: 8.0
    translate_max_y: 8.0
  }
  color_augmentation {
    hue_rotation_max: 25.0
    saturation_shift_max: 0.20000000298
    contrast_scale_max: 0.10000000149
    contrast_center: 0.5
  }
}
postprocessing_config {
  target_class_config {
    key: "city"
    value {
      clustering_config {
        clustering_algorithm: DBSCAN
        dbscan_confidence_threshold: 0.9
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }

}
model_config {
  pretrained_model_file: "/workspace/tao-experiments/detectnet_v2/pretrained_resnet18/pretrained_detectnet_v2_vresnet18/resnet18.hdf5"
  num_layers: 18
  use_batch_norm: true
  objective_set {
    bbox {
      scale: 35.0
      offset: 0.5
    }
    cov {
    }
  }
  arch: "resnet"
}
evaluation_config {
  validation_period_during_training: 10
  first_validation_epoch: 30
  minimum_detection_ground_truth_overlap {
    key: "city"
    value: 0.699999988079
  }
  evaluation_box_config {
    key: "city"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  average_precision_mode: INTEGRATE
}
cost_function_config {
  target_classes {
    name: "city"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  enable_autoweighting: true
  max_objective_weight: 0.999899983406
  min_objective_weight: 9.99999974738e-05
}
training_config {
  batch_size_per_gpu: 4
  num_epochs: 120
  learning_rate {
    soft_start_annealing_schedule {
      min_learning_rate: 5e-06
      max_learning_rate: 5e-04
      soft_start: 0.10000000149
      annealing: 0.699999988079
    }
  }
  regularizer {
    type: L1
    weight: 3.00000002618e-09
  }
  optimizer {
    adam {
      epsilon: 9.99999993923e-09
      beta1: 0.899999976158
      beta2: 0.999000012875
    }
  }
  cost_scaling {
    initial_exponent: 20.0
    increment: 0.005
    decrement: 1.0
  }
  checkpoint_interval: 10
}
bbox_rasterizer_config {
  target_class_config {
    key: "city"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 0.40000000596
      cov_radius_y: 0.40000000596
      bbox_min_radius: 1.0
    }
  }

  deadzone_radius: 0.400000154972
}

And the error becomes this:

2022-02-17 02:03:31,533 [INFO] __main__: Loading experiment spec at /workspace/tao-experiments/detectnet_v2/specs/detectnet_v2_train_resnet18_kitti.txt.
2022-02-17 02:03:31,538 [INFO] iva.detectnet_v2.spec_handler.spec_loader: Merging specification from /workspace/tao-experiments/detectnet_v2/specs/detectnet_v2_train_resnet18_kitti.txt
Traceback (most recent call last):
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 849, in <module>
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 838, in <module>
  File "<decorator-gen-2>", line 2, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/utilities/timer.py", line 46, in wrapped_fn
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 827, in main
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/scripts/train.py", line 678, in run_experiment
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/spec_handler/spec_loader.py", line 124, in load_experiment_spec
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/spec_handler/spec_loader.py", line 101, in load_proto
  File "/opt/tlt/.cache/dazel/_dazel_tlt/75913d2aee35770fa76c4a63d877f3aa/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_wheel.runfiles/ai_infra/iva/detectnet_v2/spec_handler/spec_loader.py", line 87, in _load_from_file
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 725, in Merge
    allow_unknown_field=allow_unknown_field)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 793, in MergeLines
    return parser.MergeLines(lines, message)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 818, in MergeLines
    self._ParseOrMerge(lines, message)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 837, in _ParseOrMerge
    self._MergeField(tokenizer, message)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 967, in _MergeField
    merger(tokenizer, message, field)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 1042, in _MergeMessageField
    self._MergeField(tokenizer, sub_message)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 967, in _MergeField
    merger(tokenizer, message, field)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 1042, in _MergeMessageField
    self._MergeField(tokenizer, sub_message)
  File "/usr/local/lib/python3.6/dist-packages/google/protobuf/text_format.py", line 934, in _MergeField
    (message_descriptor.full_name, name))
google.protobuf.text_format.ParseError: 18:5 : Message type "AugmentationConfig.Preprocessing" has no field named "enable_auto".
2022-02-17 10:03:34,054 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

I can’t enable auto_resize? All my data is 1440x1080.

Sorry, should be

enable_auto_resize: True

There is a typo.