model_main.py error

(tens-test) C:\tensorflow1\models\research\object_detection>python model_main.py --logtostderr --model_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons
• https://github.com/tensorflow/io (for I/O related ops)
  If you depend on functionality not listed there, please file an issue.

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

WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\utils\config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

W0215 03:49:36.531214 11232 module_wrapper.py:139] From C:\tensorflow1\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 C:\tensorflow1\models\research\object_detection\model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.

W0215 03:49:36.539234 11232 module_wrapper.py:139] From C:\tensorflow1\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.
W0215 03:49:36.543213 11232 model_lib.py:629] Forced number of epochs for all eval validations to be 1.
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\utils\config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.

W0215 03:49:36.545213 11232 module_wrapper.py:139] From C:\tensorflow1\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: None
I0215 03:49:36.552228 11232 config_util.py:488] Maybe overwriting train_steps: None
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0215 03:49:36.554213 11232 config_util.py:488] Maybe overwriting use_bfloat16: False
INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1
I0215 03:49:36.555222 11232 config_util.py:488] Maybe overwriting sample_1_of_n_eval_examples: 1
INFO:tensorflow:Maybe overwriting eval_num_epochs: 1
I0215 03:49:36.558212 11232 config_util.py:488] Maybe overwriting eval_num_epochs: 1
INFO:tensorflow:Maybe overwriting load_pretrained: True
I0215 03:49:36.564219 11232 config_util.py:488] Maybe overwriting load_pretrained: True
INFO:tensorflow:Ignoring config override key: load_pretrained
I0215 03:49:36.565212 11232 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.
W0215 03:49:36.568212 11232 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
I0215 03:49:36.570220 11232 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 0x00000225771A4860>, '_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}
I0215 03:49:36.572225 11232 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 0x00000225771A4860>, '_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 0x00000225771A5AE8>) includes params argument, but params are not passed to Estimator.
W0215 03:49:36.580208 11232 model_fn.py:630] Estimator's model_fn (<function create_model_fn..model_fn at 0x00000225771A5AE8>) includes params argument, but params are not passed to Estimator.
INFO:tensorflow:Not using Distribute Coordinator.
I0215 03:49:36.583206 11232 estimator_training.py:186] Not using Distribute Coordinator.
INFO:tensorflow:Running training and evaluation locally (non-distributed).
I0215 03:49:36.585206 11232 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.
I0215 03:49:36.587209 11232 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 C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\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.
W0215 03:49:36.608065 11232 deprecation.py:323] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\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 C:\tensorflow1\models\research\object_detection\data_decoders\tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.

W0215 03:49:36.632063 11232 module_wrapper.py:139] From C:\tensorflow1\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 C:\tensorflow1\models\research\object_detection\data_decoders\tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.

W0215 03:49:36.637063 11232 module_wrapper.py:139] From C:\tensorflow1\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 C:\tensorflow1\models\research\object_detection\builders\dataset_builder.py:64: The name tf.gfile.Glob is deprecated. Please use tf.io.gfile.glob instead.

W0215 03:49:36.670076 11232 module_wrapper.py:139] From C:\tensorflow1\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.
W0215 03:49:36.683053 11232 dataset_builder.py:72] num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From C:\tensorflow1\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(...).
W0215 03:49:36.698752 11232 deprecation.py:323] From C:\tensorflow1\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 C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\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.
W0215 03:49:36.703757 11232 deprecation.py:323] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\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 C:\tensorflow1\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() W0215 03:49:36.758179 11232 deprecation.py:323] From C:\tensorflow1\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:From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.logging.warn is deprecated. Please use tf.compat.v1.logging.warn instead.

W0215 03:49:39.115937 11232 module_wrapper.py:139] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.logging.warn is deprecated. Please use tf.compat.v1.logging.warn instead.

WARNING:tensorflow:From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.

W0215 03:49:50.746980 11232 module_wrapper.py:139] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.

WARNING:tensorflow:From C:\tensorflow1\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
W0215 03:49:50.888271 11232 deprecation.py:323] From C:\tensorflow1\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 C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

W0215 03:49:54.265079 11232 module_wrapper.py:139] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

W0215 03:49:57.583898 11232 module_wrapper.py:139] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\inputs.py:166: 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.
W0215 03:49:58.692425 11232 deprecation.py:323] From C:\tensorflow1\models\research\object_detection\inputs.py:166: 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 C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.

W0215 03:50:02.155535 11232 module_wrapper.py:139] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\autograph\converters\directives.py:119: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.

WARNING:tensorflow:From C:\tensorflow1\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).
W0215 03:50:03.060607 11232 deprecation.py:323] From C:\tensorflow1\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.
I0215 03:50:03.122578 11232 estimator.py:1148] Calling model_fn.
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:168: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

W0215 03:50:03.181793 11232 module_wrapper.py:139] From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:168: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\contrib\layers\python\layers\layers.py:2784: 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.
W0215 03:50:03.209163 11232 deprecation.py:323] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\contrib\layers\python\layers\layers.py:2784: 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 C:\tensorflow1\models\research\object_detection\core\anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.

W0215 03:50:06.293033 11232 module_wrapper.py:139] From C:\tensorflow1\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:Scale of 0 disables regularizer.
I0215 03:50:06.315390 11232 regularizers.py:98] Scale of 0 disables regularizer.
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:558: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

W0215 03:50:06.318396 11232 module_wrapper.py:139] From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:558: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

INFO:tensorflow:Scale of 0 disables regularizer.
I0215 03:50:06.353806 11232 regularizers.py:98] Scale of 0 disables regularizer.
INFO:tensorflow:depth of additional conv before box predictor: 0
I0215 03:50:06.355805 11232 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\box_coders\faster_rcnn_box_coder.py:82: The name tf.log is deprecated. Please use tf.math.log instead.

W0215 03:50:07.548388 11232 module_wrapper.py:139] From C:\tensorflow1\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 C:\tensorflow1\models\research\object_detection\core\minibatch_sampler.py:85: The name tf.random_shuffle is deprecated. Please use tf.random.shuffle instead.

W0215 03:50:07.637370 11232 module_wrapper.py:139] From C:\tensorflow1\models\research\object_detection\core\minibatch_sampler.py:85: The name tf.random_shuffle is deprecated. Please use tf.random.shuffle instead.

WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\utils\spatial_transform_ops.py:419: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
W0215 03:50:08.094356 11232 deprecation.py:506] From C:\tensorflow1\models\research\object_detection\utils\spatial_transform_ops.py:419: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:191: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

W0215 03:50:08.126353 11232 module_wrapper.py:139] From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:191: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

WARNING:tensorflow:From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\contrib\layers\python\layers\layers.py:1634: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
W0215 03:50:09.165442 11232 deprecation.py:323] From C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\contrib\layers\python\layers\layers.py:1634: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
INFO:tensorflow:Scale of 0 disables regularizer.
I0215 03:50:09.174441 11232 regularizers.py:98] Scale of 0 disables regularizer.
INFO:tensorflow:Scale of 0 disables regularizer.
I0215 03:50:09.212453 11232 regularizers.py:98] Scale of 0 disables regularizer.
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\utils\variables_helper.py:179: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

W0215 03:50:09.268049 11232 module_wrapper.py:139] From C:\tensorflow1\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 C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:2768: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
W0215 03:50:09.273027 11232 deprecation.py:323] From C:\tensorflow1\models\research\object_detection\meta_architectures\faster_rcnn_meta_arch.py:2768: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\utils\variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.

W0215 03:50:09.282026 11232 module_wrapper.py:139] From C:\tensorflow1\models\research\object_detection\utils\variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.

Windows fatal exception: access violation

Current thread 0x00002be0 (most recent call first):
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 885 in init
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\pywrap_tensorflow_internal.py", line 873 in NewCheckpointReader
File "C:\tensorflow1\models\research\object_detection\utils\variables_helper.py", line 139 in get_variables_available_in_checkpoint
File "C:\tensorflow1\models\research\object_detection\model_lib.py", line 343 in model_fn
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1149 in _call_model_fn
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1191 in _train_model_default
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1161 in _train_model
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 370 in train
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_estimator\python\estimator\training.py", line 714 in run_local
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_estimator\python\estimator\training.py", line 613 in run
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_estimator\python\estimator\training.py", line 473 in train_and_evaluate
File "model_main.py", line 105 in main
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\absl\app.py", line 250 in _run_main
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\absl\app.py", line 299 in run
File "C:\Users\aligk\Anaconda3\envs\tens-test\lib\site-packages\tensorflow_core\python\platform\app.py", line 40 in run
File "model_main.py", line 109 in