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Running colab detection code, imported tensorflow version 1.15 then also getting error while training data #25

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rashmia979 opened this issue May 11, 2020 · 0 comments
Open

Running colab detection code, imported tensorflow version 1.15 then also getting error while training data #25

rashmia979 opened this issue May 11, 2020 · 0 comments

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@rashmia979
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WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:

WARNING:tensorflow:From /content/models/research/object_detection/model_main.py:109: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

W0511 10:15:30.872198 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.

W0511 10:15:30.875162 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.

WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
W0511 10:15:30.875310 140627488786304 model_lib.py:629] Forced number of epochs for all eval validations to be 1.
WARNING:tensorflow:From /content/models/research/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.

W0511 10:15:30.875430 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.

INFO:tensorflow:Maybe overwriting train_steps: 1000
I0511 10:15:30.875515 140627488786304 config_util.py:488] Maybe overwriting train_steps: 1000
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0511 10:15:30.875617 140627488786304 config_util.py:488] Maybe overwriting use_bfloat16: False
INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1
I0511 10:15:30.875695 140627488786304 config_util.py:488] Maybe overwriting sample_1_of_n_eval_examples: 1
INFO:tensorflow:Maybe overwriting eval_num_epochs: 1
I0511 10:15:30.875774 140627488786304 config_util.py:488] Maybe overwriting eval_num_epochs: 1
INFO:tensorflow:Maybe overwriting load_pretrained: True
I0511 10:15:30.875844 140627488786304 config_util.py:488] Maybe overwriting load_pretrained: True
INFO:tensorflow:Ignoring config override key: load_pretrained
I0511 10:15:30.875911 140627488786304 config_util.py:498] Ignoring config override key: load_pretrained
WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Overwriting num_epochs to 1.
W0511 10:15:30.876527 140627488786304 model_lib.py:645] Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Overwriting num_epochs to 1.
INFO:tensorflow:create_estimator_and_inputs: use_tpu False, export_to_tpu False
I0511 10:15:30.876646 140627488786304 model_lib.py:680] create_estimator_and_inputs: use_tpu False, export_to_tpu False
INFO:tensorflow:Using config: {'_model_dir': 'training/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true
graph_options {
rewrite_options {
meta_optimizer_iterations: ONE
}
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe5fb592c18>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
I0511 10:15:30.877022 140627488786304 estimator.py:212] Using config: {'_model_dir': 'training/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true
graph_options {
rewrite_options {
meta_optimizer_iterations: ONE
}
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe5fb592c18>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
WARNING:tensorflow:Estimator's model_fn (<function create_model_fn..model_fn at 0x7fe5fb3f2f28>) includes params argument, but params are not passed to Estimator.
W0511 10:15:30.877231 140627488786304 model_fn.py:630] Estimator's model_fn (<function create_model_fn..model_fn at 0x7fe5fb3f2f28>) includes params argument, but params are not passed to Estimator.
INFO:tensorflow:Not using Distribute Coordinator.
I0511 10:15:30.878021 140627488786304 estimator_training.py:186] Not using Distribute Coordinator.
INFO:tensorflow:Running training and evaluation locally (non-distributed).
I0511 10:15:30.878187 140627488786304 training.py:612] Running training and evaluation locally (non-distributed).
INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
I0511 10:15:30.878407 140627488786304 training.py:700] Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
W0511 10:15:30.893222 140627488786304 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
WARNING:tensorflow:From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.

W0511 10:15:30.903071 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.

WARNING:tensorflow:From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.

W0511 10:15:30.903265 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.

WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:64: The name tf.gfile.Glob is deprecated. Please use tf.io.gfile.glob instead.

W0511 10:15:30.913679 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/builders/dataset_builder.py:64: The name tf.gfile.Glob is deprecated. Please use tf.io.gfile.glob instead.

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
W0511 10:15:30.914405 140627488786304 dataset_builder.py:72] num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:86: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.experimental.parallel_interleave(...).
W0511 10:15:30.919276 140627488786304 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:86: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.experimental.parallel_interleave(...).
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/data/python/ops/interleave_ops.py:77: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE) instead. If sloppy execution is desired, use tf.data.Options.experimental_determinstic.
W0511 10:15:30.919430 140627488786304 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/data/python/ops/interleave_ops.py:77: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE) instead. If sloppy execution is desired, use tf.data.Options.experimental_determinstic.
WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:155: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.map() W0511 10:15:30.938539 140627488786304 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:155: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.data.Dataset.map()
WARNING:tensorflow:Entity <function build..process_fn at 0x7fe5fb3e6268> 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: Bad argument number for Name: 3, expecting 4
W0511 10:15:30.955182 140627488786304 ag_logging.py:146] Entity <function build..process_fn at 0x7fe5fb3e6268> 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: Bad argument number for Name: 3, expecting 4
WARNING:tensorflow:From /content/models/research/object_detection/utils/ops.py:491: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.

W0511 10:15:31.090082 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/ops.py:491: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/ops.py:493: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
W0511 10:15:31.093502 140627488786304 deprecation.py:323] From /content/models/research/object_detection/utils/ops.py:493: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /content/models/research/object_detection/core/preprocessor.py:627: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

W0511 10:15:31.134708 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/preprocessor.py:627: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From /content/models/research/object_detection/core/preprocessor.py:197: sample_distorted_bounding_box (from tensorflow.python.ops.image_ops_impl) is deprecated and will be removed in a future version.
Instructions for updating:
seed2 arg is deprecated.Use sample_distorted_bounding_box_v2 instead.
W0511 10:15:31.182272 140627488786304 deprecation.py:323] From /content/models/research/object_detection/core/preprocessor.py:197: sample_distorted_bounding_box (from tensorflow.python.ops.image_ops_impl) is deprecated and will be removed in a future version.
Instructions for updating:
seed2 arg is deprecated.Use sample_distorted_bounding_box_v2 instead.
WARNING:tensorflow:From /content/models/research/object_detection/core/preprocessor.py:2937: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

W0511 10:15:31.760313 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/preprocessor.py:2937: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

WARNING:tensorflow:From /content/models/research/object_detection/inputs.py:168: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
W0511 10:15:31.774447 140627488786304 deprecation.py:323] From /content/models/research/object_detection/inputs.py:168: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /content/models/research/object_detection/inputs.py:470: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.

W0511 10:15:32.111847 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/inputs.py:470: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.

WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:158: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.batch(..., drop_remainder=True).
W0511 10:15:32.149738 140627488786304 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:158: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.batch(..., drop_remainder=True).
INFO:tensorflow:Calling model_fn.
I0511 10:15:32.162246 140627488786304 estimator.py:1148] Calling model_fn.
WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.

W0511 10:15:32.305960 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.

WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

W0511 10:15:32.306210 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/layers/python/layers/layers.py:1057: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use layer.__call__ method instead.
W0511 10:15:32.416493 140627488786304 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/layers/python/layers/layers.py:1057: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use layer.__call__ method instead.
WARNING:tensorflow:From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.

W0511 10:15:34.754431 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.

INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.763493 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.795259 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.822430 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.849195 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.876059 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.903003 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
WARNING:tensorflow:From /content/models/research/object_detection/utils/variables_helper.py:179: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

W0511 10:15:34.934131 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/variables_helper.py:179: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.

W0511 10:15:34.935094 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.

W0511 10:15:34.938907 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 256, 512]], model variable shape: [[3, 3, 256, 512]]. This variable will not be initialized from the checkpoint.
W0511 10:15:34.939044 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 128, 256]], model variable shape: [[3, 3, 128, 256]]. This variable will not be initialized from the checkpoint.
W0511 10:15:34.939143 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 128, 256]], model variable shape: [[3, 3, 128, 256]]. This variable will not be initialized from the checkpoint.
W0511 10:15:34.939242 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 64, 128]], model variable shape: [[3, 3, 64, 128]]. This variable will not be initialized from the checkpoint.
WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:353: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

W0511 10:15:34.939395 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:353: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

WARNING:tensorflow:From /content/models/research/object_detection/box_coders/faster_rcnn_box_coder.py:82: The name tf.log is deprecated. Please use tf.math.log instead.

W0511 10:15:35.874850 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/box_coders/faster_rcnn_box_coder.py:82: The name tf.log is deprecated. Please use tf.math.log instead.

WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1163: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

W0511 10:15:37.544098 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1163: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

WARNING:tensorflow:From /content/models/research/object_detection/core/losses.py:177: The name tf.losses.huber_loss is deprecated. Please use tf.compat.v1.losses.huber_loss instead.

W0511 10:15:37.551663 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/losses.py:177: The name tf.losses.huber_loss is deprecated. Please use tf.compat.v1.losses.huber_loss instead.

WARNING:tensorflow:From /content/models/research/object_detection/core/losses.py:183: The name tf.losses.Reduction is deprecated. Please use tf.compat.v1.losses.Reduction instead.

W0511 10:15:37.553322 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/losses.py:183: The name tf.losses.Reduction is deprecated. Please use tf.compat.v1.losses.Reduction instead.

WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1275: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.

W0511 10:15:37.846622 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1275: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:380: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

W0511 10:15:37.848973 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:380: 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 /content/models/research/object_detection/utils/learning_schedules.py:66: The name tf.train.exponential_decay is deprecated. Please use tf.compat.v1.train.exponential_decay instead.

W0511 10:15:37.849270 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/learning_schedules.py:66: The name tf.train.exponential_decay is deprecated. Please use tf.compat.v1.train.exponential_decay instead.

WARNING:tensorflow:From /content/models/research/object_detection/builders/optimizer_builder.py:47: The name tf.train.RMSPropOptimizer is deprecated. Please use tf.compat.v1.train.RMSPropOptimizer instead.

W0511 10:15:37.857001 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/builders/optimizer_builder.py:47: The name tf.train.RMSPropOptimizer is deprecated. Please use tf.compat.v1.train.RMSPropOptimizer instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:398: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

W0511 10:15:37.857247 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:398: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/rmsprop.py:119: calling Ones.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
W0511 10:15:39.607686 140627488786304 deprecation.py:506] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/rmsprop.py:119: calling Ones.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:515: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

W0511 10:15:44.639674 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:515: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:519: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.

W0511 10:15:45.273331 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:519: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:520: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.

W0511 10:15:45.273638 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:520: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.

INFO:tensorflow:Done calling model_fn.
I0511 10:15:45.274109 140627488786304 estimator.py:1150] Done calling model_fn.
INFO:tensorflow:Create CheckpointSaverHook.
I0511 10:15:45.275341 140627488786304 basic_session_run_hooks.py:541] Create CheckpointSaverHook.
INFO:tensorflow:Graph was finalized.
I0511 10:15:48.424628 140627488786304 monitored_session.py:240] Graph was finalized.
2020-05-11 10:15:48.425037: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX512F
2020-05-11 10:15:48.436429: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000140000 Hz
2020-05-11 10:15:48.436710: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2ca5b80 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-05-11 10:15:48.436742: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-05-11 10:15:48.441488: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-05-11 10:15:48.618964: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:48.619454: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2ca59c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-05-11 10:15:48.619488: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla P4, Compute Capability 6.1
2020-05-11 10:15:48.620840: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:48.621195: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
pciBusID: 0000:00:04.0
2020-05-11 10:15:48.621496: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-05-11 10:15:48.895331: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-05-11 10:15:49.049146: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-05-11 10:15:49.072907: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-05-11 10:15:49.341865: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-05-11 10:15:49.365128: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-05-11 10:15:49.884828: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-05-11 10:15:49.885019: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.885501: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.885877: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-05-11 10:15:49.889506: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-05-11 10:15:49.890706: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-05-11 10:15:49.890738: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-05-11 10:15:49.890753: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-05-11 10:15:49.891987: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.892412: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.892799: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2020-05-11 10:15:49.892847: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7123 MB memory) -> physical GPU (device: 0, name: Tesla P4, pci bus id: 0000:00:04.0, compute capability: 6.1)
INFO:tensorflow:Running local_init_op.
I0511 10:15:59.929085 140627488786304 session_manager.py:500] Running local_init_op.
INFO:tensorflow:Done running local_init_op.
I0511 10:16:00.234388 140627488786304 session_manager.py:502] Done running local_init_op.
INFO:tensorflow:Saving checkpoints for 0 into training/model.ckpt.
I0511 10:16:08.454163 140627488786304 basic_session_run_hooks.py:606] Saving checkpoints for 0 into training/model.ckpt.
2020-05-11 10:16:15.934402: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-05-11 10:16:20.461722: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
INFO:tensorflow:loss = 16.466208, step = 0
I0511 10:16:23.422762 140627488786304 basic_session_run_hooks.py:262] loss = 16.466208, step = 0
INFO:tensorflow:global_step/sec: 2.80101
I0511 10:16:59.123250 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 2.80101
INFO:tensorflow:loss = 4.6169624, step = 100 (35.702 sec)
I0511 10:16:59.124440 140627488786304 basic_session_run_hooks.py:260] loss = 4.6169624, step = 100 (35.702 sec)
INFO:tensorflow:global_step/sec: 3.08214
I0511 10:17:31.568260 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.08214
INFO:tensorflow:loss = 3.2046475, step = 200 (32.445 sec)
I0511 10:17:31.569403 140627488786304 basic_session_run_hooks.py:260] loss = 3.2046475, step = 200 (32.445 sec)
INFO:tensorflow:global_step/sec: 3.0645
I0511 10:18:04.199951 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.0645
INFO:tensorflow:loss = 3.0047712, step = 300 (32.632 sec)
I0511 10:18:04.200918 140627488786304 basic_session_run_hooks.py:260] loss = 3.0047712, step = 300 (32.632 sec)
INFO:tensorflow:global_step/sec: 3.04412
I0511 10:18:37.050171 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.04412
INFO:tensorflow:loss = 2.9054344, step = 400 (32.850 sec)
I0511 10:18:37.051382 140627488786304 basic_session_run_hooks.py:260] loss = 2.9054344, step = 400 (32.850 sec)
INFO:tensorflow:global_step/sec: 3.05753
I0511 10:19:09.756334 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.05753
INFO:tensorflow:loss = 2.3362093, step = 500 (32.706 sec)
I0511 10:19:09.757461 140627488786304 basic_session_run_hooks.py:260] loss = 2.3362093, step = 500 (32.706 sec)
INFO:tensorflow:global_step/sec: 3.075
I0511 10:19:42.276690 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.075
INFO:tensorflow:loss = 2.1170979, step = 600 (32.520 sec)
I0511 10:19:42.277913 140627488786304 basic_session_run_hooks.py:260] loss = 2.1170979, step = 600 (32.520 sec)
INFO:tensorflow:global_step/sec: 3.06628
I0511 10:20:14.889457 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.06628
INFO:tensorflow:loss = 2.0836995, step = 700 (32.613 sec)
I0511 10:20:14.890604 140627488786304 basic_session_run_hooks.py:260] loss = 2.0836995, step = 700 (32.613 sec)
INFO:tensorflow:global_step/sec: 3.04162
I0511 10:20:47.766752 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.04162
INFO:tensorflow:loss = 2.1069694, step = 800 (32.877 sec)
I0511 10:20:47.767689 140627488786304 basic_session_run_hooks.py:260] loss = 2.1069694, step = 800 (32.877 sec)
INFO:tensorflow:global_step/sec: 3.06967
I0511 10:21:20.343521 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.06967
INFO:tensorflow:loss = 2.1898408, step = 900 (32.577 sec)
I0511 10:21:20.344552 140627488786304 basic_session_run_hooks.py:260] loss = 2.1898408, step = 900 (32.577 sec)
INFO:tensorflow:Saving checkpoints for 1000 into training/model.ckpt.
I0511 10:21:52.649225 140627488786304 basic_session_run_hooks.py:606] Saving checkpoints for 1000 into training/model.ckpt.
WARNING:tensorflow:Entity <function build..process_fn at 0x7fe5f431de18> 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: Bad argument number for Name: 3, expecting 4
W0511 10:21:54.092649 140627488786304 ag_logging.py:146] Entity <function build..process_fn at 0x7fe5f431de18> 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: Bad argument number for Name: 3, expecting 4
INFO:tensorflow:Calling model_fn.
I0511 10:21:54.635602 140627488786304 estimator.py:1148] Calling model_fn.
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.608973 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.639086 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.667960 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.697221 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.725951 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.754738 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
WARNING:tensorflow:From /content/models/research/object_detection/eval_util.py:796: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
W0511 10:21:57.441031 140627488786304 deprecation.py:323] From /content/models/research/object_detection/eval_util.py:796: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /content/models/research/object_detection/utils/visualization_utils.py:498: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.
Instructions for updating:
tf.py_func is deprecated in TF V2. Instead, there are two
options available in V2.
- tf.py_function takes a python function which manipulates tf eager
tensors instead of numpy arrays. It's easy to convert a tf eager tensor to
an ndarray (just call tensor.numpy()) but having access to eager tensors
means tf.py_functions can use accelerators such as GPUs as well as
being differentiable using a gradient tape.
- tf.numpy_function maintains the semantics of the deprecated tf.py_func
(it is not differentiable, and manipulates numpy arrays). It drops the
stateful argument making all functions stateful.

W0511 10:21:57.628736 140627488786304 deprecation.py:323] From /content/models/research/object_detection/utils/visualization_utils.py:498: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.
Instructions for updating:
tf.py_func is deprecated in TF V2. Instead, there are two
options available in V2.
- tf.py_function takes a python function which manipulates tf eager
tensors instead of numpy arrays. It's easy to convert a tf eager tensor to
an ndarray (just call tensor.numpy()) but having access to eager tensors
means tf.py_functions can use accelerators such as GPUs as well as
being differentiable using a gradient tape.
- tf.numpy_function maintains the semantics of the deprecated tf.py_func
(it is not differentiable, and manipulates numpy arrays). It drops the
stateful argument making all functions stateful.

WARNING:tensorflow:From /content/models/research/object_detection/utils/visualization_utils.py:1044: The name tf.summary.image is deprecated. Please use tf.compat.v1.summary.image instead.

W0511 10:21:57.766836 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/visualization_utils.py:1044: The name tf.summary.image is deprecated. Please use tf.compat.v1.summary.image instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:484: The name tf.metrics.mean is deprecated. Please use tf.compat.v1.metrics.mean instead.

W0511 10:21:57.838568 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:484: The name tf.metrics.mean is deprecated. Please use tf.compat.v1.metrics.mean instead.

INFO:tensorflow:Done calling model_fn.
I0511 10:21:58.110285 140627488786304 estimator.py:1150] Done calling model_fn.
INFO:tensorflow:Starting evaluation at 2020-05-11T10:21:58Z
I0511 10:21:58.126506 140627488786304 evaluation.py:255] Starting evaluation at 2020-05-11T10:21:58Z
INFO:tensorflow:Graph was finalized.
I0511 10:21:58.554589 140627488786304 monitored_session.py:240] Graph was finalized.
2020-05-11 10:21:58.555942: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.556280: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
pciBusID: 0000:00:04.0
2020-05-11 10:21:58.556410: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-05-11 10:21:58.556447: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-05-11 10:21:58.556473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-05-11 10:21:58.556502: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-05-11 10:21:58.556530: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-05-11 10:21:58.556553: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-05-11 10:21:58.556595: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-05-11 10:21:58.556686: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.557041: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.557322: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-05-11 10:21:58.557409: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-05-11 10:21:58.557427: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-05-11 10:21:58.557443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-05-11 10:21:58.557556: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.557903: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.558185: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7123 MB memory) -> physical GPU (device: 0, name: Tesla P4, pci bus id: 0000:00:04.0, compute capability: 6.1)
INFO:tensorflow:Restoring parameters from training/model.ckpt-1000
I0511 10:21:58.559201 140627488786304 saver.py:1284] Restoring parameters from training/model.ckpt-1000
INFO:tensorflow:Running local_init_op.
I0511 10:21:59.425379 140627488786304 session_manager.py:500] Running local_init_op.
INFO:tensorflow:Done running local_init_op.
I0511 10:21:59.552691 140627488786304 session_manager.py:502] Done running local_init_op.
INFO:tensorflow:Performing evaluation on 2 images.
I0511 10:22:01.669547 140623933605632 coco_evaluation.py:205] Performing evaluation on 2 images.
creating index...
index created!
INFO:tensorflow:Loading and preparing annotation results...
I0511 10:22:01.670031 140623933605632 coco_tools.py:115] Loading and preparing annotation results...
INFO:tensorflow:DONE (t=0.00s)
I0511 10:22:01.670426 140623933605632 coco_tools.py:137] DONE (t=0.00s)
creating index...
index created!
2020-05-11 10:22:01.682550: W tensorflow/core/framework/op_kernel.cc:1639] Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.OutOfRangeError: End of sequence
[[{{node IteratorGetNext}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/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 693, in reraise
raise value
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1418, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1176, in run
return self._sess.run(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.OutOfRangeError: End of sequence
[[node IteratorGetNext (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for 'IteratorGetNext':
File "content/models/research/object_detection/model_main.py", line 109, in
tf.app.run()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "content/models/research/object_detection/model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1495, in _train_with_estimator_spec
any_step_done = True
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 600, in end
self._save(session, last_step)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1544, in _call_model_fn_eval
input_fn, ModeKeys.EVAL)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1025, in _get_features_and_labels_from_input_fn
self._call_input_fn(input_fn, mode))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/util.py", line 65, in parse_input_fn_result
result = iterator.get_next()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/data/ops/iterator_ops.py", line 426, in get_next
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/gen_dataset_ops.py", line 2518, in iterator_get_next
output_shapes=output_shapes, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "tensorflow-1.15.2/python3.6/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 "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[{{node PyFunc_3}}]]
 [[cond/Const/_2461]]

(1) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[{{node PyFunc_3}}]]

0 successful operations.
0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/content/models/research/object_detection/model_main.py", line 109, in
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "/content/models/research/object_detection/model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1495, in _train_with_estimator_spec
any_step_done = True
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 600, in end
self._save(session, last_step)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 511, in _evaluate
output_dir=self.eval_dir(name))
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1619, in _evaluate_run
config=self._session_config)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 951, in end
self._final_ops, feed_dict=self._final_ops_feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[node PyFunc_3 (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
 [[cond/Const/_2461]]

(1) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[node PyFunc_3 (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]

0 successful operations.
0 derived errors ignored.

Original stack trace for 'PyFunc_3':
File "content/models/research/object_detection/model_main.py", line 109, in
tf.app.run()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "content/models/research/object_detection/model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1495, in _train_with_estimator_spec
any_step_done = True
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 600, in end
self._save(session, last_step)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1547, in _call_model_fn_eval
features, labels, ModeKeys.EVAL, config)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1149, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "content/models/research/object_detection/model_lib.py", line 482, in model_fn
eval_config, list(category_index.values()), eval_dict)
File "content/models/research/object_detection/eval_util.py", line 947, in get_eval_metric_ops_for_evaluators
eval_dict))
File "content/models/research/object_detection/metrics/coco_evaluation.py", line 394, in get_estimator_eval_metric_ops
first_value_op = tf.py_func(first_value_func, [], tf.float32)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 513, in py_func
return py_func_common(func, inp, Tout, stateful, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 495, in py_func_common
func=func, inp=inp, Tout=Tout, stateful=stateful, eager=False, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 318, in _internal_py_func
input=inp, token=token, Tout=Tout, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/gen_script_ops.py", line 170, in py_func
"PyFunc", input=input, token=token, Tout=Tout, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()
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