To run with multigpu, please change --gpus based on the number of available GPUs in your machine. 2023-03-27 03:03:00,254 [INFO] root: Registry: ['nvcr.io'] 2023-03-27 03:03:00,352 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit:4.0.0-tf1.15.5 2023-03-27 03:03:00,373 [WARNING] tlt.components.docker_handler.docker_handler: Docker will run the commands as root. If you would like to retain your local host permissions, please add the "user":"UID:GID" in the DockerOptions portion of the "/home/ceres/.tao_mounts.json" file. You can obtain your users UID and GID by using the "id -u" and "id -g" commands on the terminal. Using TensorFlow backend. 2023-03-27 03:03:08.769529: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. Using TensorFlow backend. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. INFO: Starting Yolo_V4 Training job WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. INFO: Starting Yolo_V4 Training job /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. INFO: Starting Yolo_V4 Training job WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. INFO: Starting Yolo_V4 Training job INFO: Log file already exists at /workspace/tao-experiments/yolo_v4/experiment_dir_unpruned/status.json INFO: Starting Yolo_V4 Training job /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. INFO: Log file already exists at /workspace/tao-experiments/yolo_v4/experiment_dir_unpruned/status.json INFO: Starting Yolo_V4 Training job /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. INFO: Log file already exists at /workspace/tao-experiments/yolo_v4/experiment_dir_unpruned/status.json INFO: Starting Yolo_V4 Training job WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. /usr/local/lib/python3.6/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.5) or chardet (3.0.4) doesn't match a supported version! RequestsDependencyWarning) WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:153: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. INFO: Log file already exists at /workspace/tao-experiments/yolo_v4/experiment_dir_unpruned/status.json INFO: Starting Yolo_V4 Training job WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1834: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:183: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:2018: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead. INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 6733, number of sources: 1, batch size per gpu: 20, steps: 337 WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING: From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead. WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: True - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: shuffle: True - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: shuffle: True - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 INFO: shuffle: True - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: shuffle: True - shard 0 of 1 INFO: shuffle: True - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 INFO: shuffle: True - shard 0 of 1 INFO: shuffle: True - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING: From /usr/local/lib/python3.6/dist-packages/third_party/keras/tensorflow_backend.py:187: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3295: The name tf.log is deprecated. Please use tf.math.log instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. WARNING: From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Serial augmentation enabled = False INFO: Pseudo sharding enabled = False INFO: Max Image Dimensions (all sources): (0, 0) INFO: number of cpus: 56, io threads: 112, compute threads: 56, buffered batches: -1 INFO: total dataset size 748, number of sources: 1, batch size per gpu: 8, steps: 94 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Bounding box coordinates were detected in the input specification! Bboxes will be automatically converted to polygon coordinates. INFO: shuffle: False - shard 0 of 1 INFO: sampling 1 datasets with weights: INFO: source: 0 weight: 1.000000 WARNING:tensorflow:Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code WARNING: Entity > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of >. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code INFO: Log file already exists at /workspace/tao-experiments/yolo_v4/experiment_dir_unpruned/status.json __________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== Input (InputLayer) (None, 3, None, None 0 __________________________________________________________________________________________________ conv1 (Conv2D) (None, 64, None, Non 9408 Input[0][0] __________________________________________________________________________________________________ bn_conv1 (BatchNormalization) (None, 64, None, Non 256 conv1[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 64, None, Non 0 bn_conv1[0][0] __________________________________________________________________________________________________ block_1a_conv_1 (Conv2D) (None, 64, None, Non 36864 activation_2[0][0] __________________________________________________________________________________________________ block_1a_bn_1 (BatchNormalizati (None, 64, None, Non 256 block_1a_conv_1[0][0] __________________________________________________________________________________________________ block_1a_relu_1 (Activation) (None, 64, None, Non 0 block_1a_bn_1[0][0] __________________________________________________________________________________________________ block_1a_conv_2 (Conv2D) (None, 64, None, Non 36864 block_1a_relu_1[0][0] __________________________________________________________________________________________________ block_1a_conv_shortcut (Conv2D) (None, 64, None, Non 4096 activation_2[0][0] __________________________________________________________________________________________________ block_1a_bn_2 (BatchNormalizati (None, 64, None, Non 256 block_1a_conv_2[0][0] __________________________________________________________________________________________________ block_1a_bn_shortcut (BatchNorm (None, 64, None, Non 256 block_1a_conv_shortcut[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 64, None, Non 0 block_1a_bn_2[0][0] block_1a_bn_shortcut[0][0] __________________________________________________________________________________________________ block_1a_relu (Activation) (None, 64, None, Non 0 add_9[0][0] __________________________________________________________________________________________________ block_1b_conv_1 (Conv2D) (None, 64, None, Non 36864 block_1a_relu[0][0] __________________________________________________________________________________________________ block_1b_bn_1 (BatchNormalizati (None, 64, None, Non 256 block_1b_conv_1[0][0] __________________________________________________________________________________________________ block_1b_relu_1 (Activation) (None, 64, None, Non 0 block_1b_bn_1[0][0] __________________________________________________________________________________________________ block_1b_conv_2 (Conv2D) (None, 64, None, Non 36864 block_1b_relu_1[0][0] __________________________________________________________________________________________________ block_1b_conv_shortcut (Conv2D) (None, 64, None, Non 4096 block_1a_relu[0][0] __________________________________________________________________________________________________ block_1b_bn_2 (BatchNormalizati (None, 64, None, Non 256 block_1b_conv_2[0][0] __________________________________________________________________________________________________ block_1b_bn_shortcut (BatchNorm (None, 64, None, Non 256 block_1b_conv_shortcut[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 64, None, Non 0 block_1b_bn_2[0][0] block_1b_bn_shortcut[0][0] __________________________________________________________________________________________________ block_1b_relu (Activation) (None, 64, None, Non 0 add_10[0][0] __________________________________________________________________________________________________ block_2a_conv_1 (Conv2D) (None, 128, None, No 73728 block_1b_relu[0][0] __________________________________________________________________________________________________ block_2a_bn_1 (BatchNormalizati (None, 128, None, No 512 block_2a_conv_1[0][0] __________________________________________________________________________________________________ block_2a_relu_1 (Activation) (None, 128, None, No 0 block_2a_bn_1[0][0] __________________________________________________________________________________________________ block_2a_conv_2 (Conv2D) (None, 128, None, No 147456 block_2a_relu_1[0][0] __________________________________________________________________________________________________ block_2a_conv_shortcut (Conv2D) (None, 128, None, No 8192 block_1b_relu[0][0] __________________________________________________________________________________________________ block_2a_bn_2 (BatchNormalizati (None, 128, None, No 512 block_2a_conv_2[0][0] __________________________________________________________________________________________________ block_2a_bn_shortcut (BatchNorm (None, 128, None, No 512 block_2a_conv_shortcut[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 128, None, No 0 block_2a_bn_2[0][0] block_2a_bn_shortcut[0][0] __________________________________________________________________________________________________ block_2a_relu (Activation) (None, 128, None, No 0 add_11[0][0] __________________________________________________________________________________________________ block_2b_conv_1 (Conv2D) (None, 128, None, No 147456 block_2a_relu[0][0] __________________________________________________________________________________________________ block_2b_bn_1 (BatchNormalizati (None, 128, None, No 512 block_2b_conv_1[0][0] __________________________________________________________________________________________________ block_2b_relu_1 (Activation) (None, 128, None, No 0 block_2b_bn_1[0][0] __________________________________________________________________________________________________ block_2b_conv_2 (Conv2D) (None, 128, None, No 147456 block_2b_relu_1[0][0] __________________________________________________________________________________________________ block_2b_conv_shortcut (Conv2D) (None, 128, None, No 16384 block_2a_relu[0][0] __________________________________________________________________________________________________ block_2b_bn_2 (BatchNormalizati (None, 128, None, No 512 block_2b_conv_2[0][0] __________________________________________________________________________________________________ block_2b_bn_shortcut (BatchNorm (None, 128, None, No 512 block_2b_conv_shortcut[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 128, None, No 0 block_2b_bn_2[0][0] block_2b_bn_shortcut[0][0] __________________________________________________________________________________________________ block_2b_relu (Activation) (None, 128, None, No 0 add_12[0][0] __________________________________________________________________________________________________ block_3a_conv_1 (Conv2D) (None, 256, None, No 294912 block_2b_relu[0][0] __________________________________________________________________________________________________ block_3a_bn_1 (BatchNormalizati (None, 256, None, No 1024 block_3a_conv_1[0][0] __________________________________________________________________________________________________ block_3a_relu_1 (Activation) (None, 256, None, No 0 block_3a_bn_1[0][0] __________________________________________________________________________________________________ block_3a_conv_2 (Conv2D) (None, 256, None, No 589824 block_3a_relu_1[0][0] __________________________________________________________________________________________________ block_3a_conv_shortcut (Conv2D) (None, 256, None, No 32768 block_2b_relu[0][0] __________________________________________________________________________________________________ block_3a_bn_2 (BatchNormalizati (None, 256, None, No 1024 block_3a_conv_2[0][0] __________________________________________________________________________________________________ block_3a_bn_shortcut (BatchNorm (None, 256, None, No 1024 block_3a_conv_shortcut[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 256, None, No 0 block_3a_bn_2[0][0] block_3a_bn_shortcut[0][0] __________________________________________________________________________________________________ block_3a_relu (Activation) (None, 256, None, No 0 add_13[0][0] __________________________________________________________________________________________________ block_3b_conv_1 (Conv2D) (None, 256, None, No 589824 block_3a_relu[0][0] __________________________________________________________________________________________________ block_3b_bn_1 (BatchNormalizati (None, 256, None, No 1024 block_3b_conv_1[0][0] __________________________________________________________________________________________________ block_3b_relu_1 (Activation) (None, 256, None, No 0 block_3b_bn_1[0][0] __________________________________________________________________________________________________ block_3b_conv_2 (Conv2D) (None, 256, None, No 589824 block_3b_relu_1[0][0] __________________________________________________________________________________________________ block_3b_conv_shortcut (Conv2D) (None, 256, None, No 65536 block_3a_relu[0][0] __________________________________________________________________________________________________ block_3b_bn_2 (BatchNormalizati (None, 256, None, No 1024 block_3b_conv_2[0][0] __________________________________________________________________________________________________ block_3b_bn_shortcut (BatchNorm (None, 256, None, No 1024 block_3b_conv_shortcut[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 256, None, No 0 block_3b_bn_2[0][0] block_3b_bn_shortcut[0][0] __________________________________________________________________________________________________ block_3b_relu (Activation) (None, 256, None, No 0 add_14[0][0] __________________________________________________________________________________________________ block_4a_conv_1 (Conv2D) (None, 512, None, No 1179648 block_3b_relu[0][0] __________________________________________________________________________________________________ block_4a_bn_1 (BatchNormalizati (None, 512, None, No 2048 block_4a_conv_1[0][0] __________________________________________________________________________________________________ block_4a_relu_1 (Activation) (None, 512, None, No 0 block_4a_bn_1[0][0] __________________________________________________________________________________________________ block_4a_conv_2 (Conv2D) (None, 512, None, No 2359296 block_4a_relu_1[0][0] __________________________________________________________________________________________________ block_4a_conv_shortcut (Conv2D) (None, 512, None, No 131072 block_3b_relu[0][0] __________________________________________________________________________________________________ block_4a_bn_2 (BatchNormalizati (None, 512, None, No 2048 block_4a_conv_2[0][0] __________________________________________________________________________________________________ block_4a_bn_shortcut (BatchNorm (None, 512, None, No 2048 block_4a_conv_shortcut[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 512, None, No 0 block_4a_bn_2[0][0] block_4a_bn_shortcut[0][0] __________________________________________________________________________________________________ block_4a_relu (Activation) (None, 512, None, No 0 add_15[0][0] __________________________________________________________________________________________________ block_4b_conv_1 (Conv2D) (None, 512, None, No 2359296 block_4a_relu[0][0] __________________________________________________________________________________________________ block_4b_bn_1 (BatchNormalizati (None, 512, None, No 2048 block_4b_conv_1[0][0] __________________________________________________________________________________________________ block_4b_relu_1 (Activation) (None, 512, None, No 0 block_4b_bn_1[0][0] __________________________________________________________________________________________________ block_4b_conv_2 (Conv2D) (None, 512, None, No 2359296 block_4b_relu_1[0][0] __________________________________________________________________________________________________ block_4b_conv_shortcut (Conv2D) (None, 512, None, No 262144 block_4a_relu[0][0] __________________________________________________________________________________________________ block_4b_bn_2 (BatchNormalizati (None, 512, None, No 2048 block_4b_conv_2[0][0] __________________________________________________________________________________________________ block_4b_bn_shortcut (BatchNorm (None, 512, None, No 2048 block_4b_conv_shortcut[0][0] __________________________________________________________________________________________________ add_16 (Add) (None, 512, None, No 0 block_4b_bn_2[0][0] block_4b_bn_shortcut[0][0] __________________________________________________________________________________________________ block_4b_relu (Activation) (None, 512, None, No 0 add_16[0][0] __________________________________________________________________________________________________ yolo_neck_1 (Conv2D) (None, 512, None, No 262144 block_4b_relu[0][0] __________________________________________________________________________________________________ yolo_neck_1_bn (BatchNormalizat (None, 512, None, No 2048 yolo_neck_1[0][0] __________________________________________________________________________________________________ yolo_neck_1_lrelu (LeakyReLU) (None, 512, None, No 0 yolo_neck_1_bn[0][0] __________________________________________________________________________________________________ yolo_neck_2 (Conv2D) (None, 1024, None, N 4718592 yolo_neck_1_lrelu[0][0] __________________________________________________________________________________________________ yolo_neck_2_bn (BatchNormalizat (None, 1024, None, N 4096 yolo_neck_2[0][0] __________________________________________________________________________________________________ yolo_neck_2_lrelu (LeakyReLU) (None, 1024, None, N 0 yolo_neck_2_bn[0][0] __________________________________________________________________________________________________ yolo_neck_3 (Conv2D) (None, 512, None, No 524288 yolo_neck_2_lrelu[0][0] __________________________________________________________________________________________________ yolo_neck_3_bn (BatchNormalizat (None, 512, None, No 2048 yolo_neck_3[0][0] __________________________________________________________________________________________________ yolo_neck_3_lrelu (LeakyReLU) (None, 512, None, No 0 yolo_neck_3_bn[0][0] __________________________________________________________________________________________________ yolo_spp_pool_1 (MaxPooling2D) (None, 512, None, No 0 yolo_neck_3_lrelu[0][0] __________________________________________________________________________________________________ yolo_spp_pool_2 (MaxPooling2D) (None, 512, None, No 0 yolo_neck_3_lrelu[0][0] __________________________________________________________________________________________________ yolo_spp_pool_3 (MaxPooling2D) (None, 512, None, No 0 yolo_neck_3_lrelu[0][0] __________________________________________________________________________________________________ yolo_spp_concat (Concatenate) (None, 2048, None, N 0 yolo_spp_pool_1[0][0] yolo_spp_pool_2[0][0] yolo_spp_pool_3[0][0] yolo_neck_3_lrelu[0][0] __________________________________________________________________________________________________ yolo_spp_conv (Conv2D) (None, 512, None, No 1048576 yolo_spp_concat[0][0] __________________________________________________________________________________________________ yolo_spp_conv_bn (BatchNormaliz (None, 512, None, No 2048 yolo_spp_conv[0][0] __________________________________________________________________________________________________ yolo_spp_conv_lrelu (LeakyReLU) (None, 512, None, No 0 yolo_spp_conv_bn[0][0] __________________________________________________________________________________________________ yolo_expand_conv1 (Conv2D) (None, 512, None, No 2359296 yolo_spp_conv_lrelu[0][0] __________________________________________________________________________________________________ yolo_expand_conv1_bn (BatchNorm (None, 512, None, No 2048 yolo_expand_conv1[0][0] __________________________________________________________________________________________________ yolo_expand_conv1_lrelu (LeakyR (None, 512, None, No 0 yolo_expand_conv1_bn[0][0] __________________________________________________________________________________________________ yolo_conv1_2 (Conv2D) (None, 512, None, No 2359296 yolo_expand_conv1_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv1_2_bn (BatchNormaliza (None, 512, None, No 2048 yolo_conv1_2[0][0] __________________________________________________________________________________________________ yolo_conv1_2_lrelu (LeakyReLU) (None, 512, None, No 0 yolo_conv1_2_bn[0][0] __________________________________________________________________________________________________ yolo_conv1_3 (Conv2D) (None, 256, None, No 131072 yolo_conv1_2_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv1_3_bn (BatchNormaliza (None, 256, None, No 1024 yolo_conv1_3[0][0] __________________________________________________________________________________________________ yolo_conv1_3_lrelu (LeakyReLU) (None, 256, None, No 0 yolo_conv1_3_bn[0][0] __________________________________________________________________________________________________ yolo_conv2 (Conv2D) (None, 128, None, No 32768 yolo_conv1_3_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv2_bn (BatchNormalizati (None, 128, None, No 512 yolo_conv2[0][0] __________________________________________________________________________________________________ yolo_x_branch (Conv2D) (None, 128, None, No 32768 block_3b_relu[0][0] __________________________________________________________________________________________________ yolo_conv2_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_conv2_bn[0][0] __________________________________________________________________________________________________ yolo_x_branch_bn (BatchNormaliz (None, 128, None, No 512 yolo_x_branch[0][0] __________________________________________________________________________________________________ upsample0 (UpSampling2D) (None, 128, None, No 0 yolo_conv2_lrelu[0][0] __________________________________________________________________________________________________ yolo_x_branch_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_x_branch_bn[0][0] __________________________________________________________________________________________________ concatenate_5 (Concatenate) (None, 256, None, No 0 upsample0[0][0] yolo_x_branch_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_1 (Conv2D) (None, 128, None, No 32768 concatenate_5[0][0] __________________________________________________________________________________________________ yolo_conv3_1_bn (BatchNormaliza (None, 128, None, No 512 yolo_conv3_1[0][0] __________________________________________________________________________________________________ yolo_conv3_1_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_conv3_1_bn[0][0] __________________________________________________________________________________________________ yolo_conv3_2 (Conv2D) (None, 256, None, No 294912 yolo_conv3_1_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_2_bn (BatchNormaliza (None, 256, None, No 1024 yolo_conv3_2[0][0] __________________________________________________________________________________________________ yolo_conv3_2_lrelu (LeakyReLU) (None, 256, None, No 0 yolo_conv3_2_bn[0][0] __________________________________________________________________________________________________ yolo_conv3_3 (Conv2D) (None, 128, None, No 32768 yolo_conv3_2_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_3_bn (BatchNormaliza (None, 128, None, No 512 yolo_conv3_3[0][0] __________________________________________________________________________________________________ yolo_conv3_3_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_conv3_3_bn[0][0] __________________________________________________________________________________________________ yolo_conv3_4 (Conv2D) (None, 256, None, No 294912 yolo_conv3_3_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_4_bn (BatchNormaliza (None, 256, None, No 1024 yolo_conv3_4[0][0] __________________________________________________________________________________________________ yolo_conv3_4_lrelu (LeakyReLU) (None, 256, None, No 0 yolo_conv3_4_bn[0][0] __________________________________________________________________________________________________ yolo_conv3_5 (Conv2D) (None, 128, None, No 32768 yolo_conv3_4_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_5_bn (BatchNormaliza (None, 128, None, No 512 yolo_conv3_5[0][0] __________________________________________________________________________________________________ yolo_conv3_5_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_conv3_5_bn[0][0] __________________________________________________________________________________________________ yolo_conv4 (Conv2D) (None, 64, None, Non 8192 yolo_conv3_5_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv4_bn (BatchNormalizati (None, 64, None, Non 256 yolo_conv4[0][0] __________________________________________________________________________________________________ yolo_x_branch_2 (Conv2D) (None, 64, None, Non 8192 block_2b_relu[0][0] __________________________________________________________________________________________________ yolo_conv4_lrelu (LeakyReLU) (None, 64, None, Non 0 yolo_conv4_bn[0][0] __________________________________________________________________________________________________ yolo_x_branch_2_bn (BatchNormal (None, 64, None, Non 256 yolo_x_branch_2[0][0] __________________________________________________________________________________________________ upsample1 (UpSampling2D) (None, 64, None, Non 0 yolo_conv4_lrelu[0][0] __________________________________________________________________________________________________ yolo_x_branch_2_lrelu (LeakyReL (None, 64, None, Non 0 yolo_x_branch_2_bn[0][0] __________________________________________________________________________________________________ concatenate_6 (Concatenate) (None, 128, None, No 0 upsample1[0][0] yolo_x_branch_2_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv5_1 (Conv2D) (None, 64, None, Non 8192 concatenate_6[0][0] __________________________________________________________________________________________________ yolo_conv5_1_bn (BatchNormaliza (None, 64, None, Non 256 yolo_conv5_1[0][0] __________________________________________________________________________________________________ yolo_conv5_1_lrelu (LeakyReLU) (None, 64, None, Non 0 yolo_conv5_1_bn[0][0] __________________________________________________________________________________________________ yolo_conv5_2 (Conv2D) (None, 128, None, No 73728 yolo_conv5_1_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv5_2_bn (BatchNormaliza (None, 128, None, No 512 yolo_conv5_2[0][0] __________________________________________________________________________________________________ yolo_conv5_2_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_conv5_2_bn[0][0] __________________________________________________________________________________________________ yolo_conv5_3 (Conv2D) (None, 64, None, Non 8192 yolo_conv5_2_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv5_3_bn (BatchNormaliza (None, 64, None, Non 256 yolo_conv5_3[0][0] __________________________________________________________________________________________________ yolo_conv5_3_lrelu (LeakyReLU) (None, 64, None, Non 0 yolo_conv5_3_bn[0][0] __________________________________________________________________________________________________ yolo_conv5_4 (Conv2D) (None, 128, None, No 73728 yolo_conv5_3_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv5_4_bn (BatchNormaliza (None, 128, None, No 512 yolo_conv5_4[0][0] __________________________________________________________________________________________________ yolo_conv5_4_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_conv5_4_bn[0][0] __________________________________________________________________________________________________ yolo_conv5_5 (Conv2D) (None, 64, None, Non 8192 yolo_conv5_4_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv5_5_bn (BatchNormaliza (None, 64, None, Non 256 yolo_conv5_5[0][0] __________________________________________________________________________________________________ yolo_conv5_5_lrelu (LeakyReLU) (None, 64, None, Non 0 yolo_conv5_5_bn[0][0] __________________________________________________________________________________________________ yolo_sm_branch_conv (Conv2D) (None, 128, None, No 73728 yolo_conv5_5_lrelu[0][0] __________________________________________________________________________________________________ yolo_sm_branch_conv_bn (BatchNo (None, 128, None, No 512 yolo_sm_branch_conv[0][0] __________________________________________________________________________________________________ yolo_sm_branch_conv_lrelu (Leak (None, 128, None, No 0 yolo_sm_branch_conv_bn[0][0] __________________________________________________________________________________________________ concatenate_7 (Concatenate) (None, 256, None, No 0 yolo_conv3_5_lrelu[0][0] yolo_sm_branch_conv_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_5_1 (Conv2D) (None, 128, None, No 32768 concatenate_7[0][0] __________________________________________________________________________________________________ yolo_conv3_5_1_bn (BatchNormali (None, 128, None, No 512 yolo_conv3_5_1[0][0] __________________________________________________________________________________________________ yolo_conv3_5_1_lrelu (LeakyReLU (None, 128, None, No 0 yolo_conv3_5_1_bn[0][0] __________________________________________________________________________________________________ yolo_conv3_4_2 (Conv2D) (None, 256, None, No 294912 yolo_conv3_5_1_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_4_2_bn (BatchNormali (None, 256, None, No 1024 yolo_conv3_4_2[0][0] __________________________________________________________________________________________________ yolo_conv3_4_2_lrelu (LeakyReLU (None, 256, None, No 0 yolo_conv3_4_2_bn[0][0] __________________________________________________________________________________________________ yolo_conv3_5_1_1 (Conv2D) (None, 128, None, No 32768 yolo_conv3_4_2_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_5_1_1_bn (BatchNorma (None, 128, None, No 512 yolo_conv3_5_1_1[0][0] __________________________________________________________________________________________________ yolo_conv3_5_1_1_lrelu (LeakyRe (None, 128, None, No 0 yolo_conv3_5_1_1_bn[0][0] __________________________________________________________________________________________________ yolo_conv3_6 (Conv2D) (None, 256, None, No 294912 yolo_conv3_5_1_1_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv3_6_bn (BatchNormaliza (None, 256, None, No 1024 yolo_conv3_6[0][0] __________________________________________________________________________________________________ yolo_conv3_6_lrelu (LeakyReLU) (None, 256, None, No 0 yolo_conv3_6_bn[0][0] __________________________________________________________________________________________________ md_leaky_conv512 (Conv2D) (None, 256, None, No 65536 yolo_conv3_6_lrelu[0][0] __________________________________________________________________________________________________ md_leaky_conv512_bn (BatchNorma (None, 256, None, No 1024 md_leaky_conv512[0][0] __________________________________________________________________________________________________ md_leaky_conv512_lrelu (LeakyRe (None, 256, None, No 0 md_leaky_conv512_bn[0][0] __________________________________________________________________________________________________ md_leaky_conv512_down (Conv2D) (None, 512, None, No 1179648 md_leaky_conv512_lrelu[0][0] __________________________________________________________________________________________________ md_leaky_conv512_down_bn (Batch (None, 512, None, No 2048 md_leaky_conv512_down[0][0] __________________________________________________________________________________________________ md_leaky_conv512_down_lrelu (Le (None, 512, None, No 0 md_leaky_conv512_down_bn[0][0] __________________________________________________________________________________________________ concatenate_8 (Concatenate) (None, 640, None, No 0 yolo_conv2_lrelu[0][0] md_leaky_conv512_down_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv1_3_1 (Conv2D) (None, 256, None, No 163840 concatenate_8[0][0] __________________________________________________________________________________________________ yolo_conv1_3_1_bn (BatchNormali (None, 256, None, No 1024 yolo_conv1_3_1[0][0] __________________________________________________________________________________________________ yolo_conv1_3_1_lrelu (LeakyReLU (None, 256, None, No 0 yolo_conv1_3_1_bn[0][0] __________________________________________________________________________________________________ yolo_conv1_4 (Conv2D) (None, 512, None, No 1179648 yolo_conv1_3_1_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv1_4_bn (BatchNormaliza (None, 512, None, No 2048 yolo_conv1_4[0][0] __________________________________________________________________________________________________ yolo_conv1_4_lrelu (LeakyReLU) (None, 512, None, No 0 yolo_conv1_4_bn[0][0] __________________________________________________________________________________________________ yolo_conv1_5 (Conv2D) (None, 256, None, No 131072 yolo_conv1_4_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv1_5_bn (BatchNormaliza (None, 256, None, No 1024 yolo_conv1_5[0][0] __________________________________________________________________________________________________ yolo_conv1_5_lrelu (LeakyReLU) (None, 256, None, No 0 yolo_conv1_5_bn[0][0] __________________________________________________________________________________________________ yolo_conv1_6 (Conv2D) (None, 512, None, No 1179648 yolo_conv1_5_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv1_6_bn (BatchNormaliza (None, 512, None, No 2048 yolo_conv1_6[0][0] __________________________________________________________________________________________________ yolo_conv1_6_lrelu (LeakyReLU) (None, 512, None, No 0 yolo_conv1_6_bn[0][0] __________________________________________________________________________________________________ bg_leaky_conv512 (Conv2D) (None, 512, None, No 262144 yolo_conv1_6_lrelu[0][0] __________________________________________________________________________________________________ bg_leaky_conv512_bn (BatchNorma (None, 512, None, No 2048 bg_leaky_conv512[0][0] __________________________________________________________________________________________________ bg_leaky_conv512_lrelu (LeakyRe (None, 512, None, No 0 bg_leaky_conv512_bn[0][0] __________________________________________________________________________________________________ bg_leaky_conv1024 (Conv2D) (None, 1024, None, N 4718592 bg_leaky_conv512_lrelu[0][0] __________________________________________________________________________________________________ md_leaky_conv1024 (Conv2D) (None, 512, None, No 1179648 md_leaky_conv512_lrelu[0][0] __________________________________________________________________________________________________ yolo_conv5_6 (Conv2D) (None, 128, None, No 73728 yolo_conv5_5_lrelu[0][0] __________________________________________________________________________________________________ bg_leaky_conv1024_bn (BatchNorm (None, 1024, None, N 4096 bg_leaky_conv1024[0][0] __________________________________________________________________________________________________ md_leaky_conv1024_bn (BatchNorm (None, 512, None, No 2048 md_leaky_conv1024[0][0] __________________________________________________________________________________________________ yolo_conv5_6_bn (BatchNormaliza (None, 128, None, No 512 yolo_conv5_6[0][0] __________________________________________________________________________________________________ bg_leaky_conv1024_lrelu (LeakyR (None, 1024, None, N 0 bg_leaky_conv1024_bn[0][0] __________________________________________________________________________________________________ md_leaky_conv1024_lrelu (LeakyR (None, 512, None, No 0 md_leaky_conv1024_bn[0][0] __________________________________________________________________________________________________ yolo_conv5_6_lrelu (LeakyReLU) (None, 128, None, No 0 yolo_conv5_6_bn[0][0] __________________________________________________________________________________________________ conv_big_object (Conv2D) (None, 24, None, Non 24600 bg_leaky_conv1024_lrelu[0][0] __________________________________________________________________________________________________ conv_mid_object (Conv2D) (None, 24, None, Non 12312 md_leaky_conv1024_lrelu[0][0] __________________________________________________________________________________________________ conv_sm_object (Conv2D) (None, 24, None, Non 3096 yolo_conv5_6_lrelu[0][0] __________________________________________________________________________________________________ bg_permute (Permute) (None, None, None, 2 0 conv_big_object[0][0] __________________________________________________________________________________________________ md_permute (Permute) (None, None, None, 2 0 conv_mid_object[0][0] __________________________________________________________________________________________________ sm_permute (Permute) (None, None, None, 2 0 conv_sm_object[0][0] __________________________________________________________________________________________________ bg_reshape (Reshape) (None, None, 8) 0 bg_permute[0][0] __________________________________________________________________________________________________ md_reshape (Reshape) (None, None, 8) 0 md_permute[0][0] __________________________________________________________________________________________________ sm_reshape (Reshape) (None, None, 8) 0 sm_permute[0][0] __________________________________________________________________________________________________ bg_anchor (YOLOAnchorBox) (None, None, 6) 0 conv_big_object[0][0] __________________________________________________________________________________________________ bg_bbox_processor (BBoxPostProc (None, None, 8) 0 bg_reshape[0][0] __________________________________________________________________________________________________ md_anchor (YOLOAnchorBox) (None, None, 6) 0 conv_mid_object[0][0] __________________________________________________________________________________________________ md_bbox_processor (BBoxPostProc (None, None, 8) 0 md_reshape[0][0] __________________________________________________________________________________________________ sm_anchor (YOLOAnchorBox) (None, None, 6) 0 conv_sm_object[0][0] __________________________________________________________________________________________________ sm_bbox_processor (BBoxPostProc (None, None, 8) 0 sm_reshape[0][0] __________________________________________________________________________________________________ encoded_bg (Concatenate) (None, None, 14) 0 bg_anchor[0][0] bg_bbox_processor[0][0] __________________________________________________________________________________________________ encoded_md (Concatenate) (None, None, 14) 0 md_anchor[0][0] md_bbox_processor[0][0] __________________________________________________________________________________________________ encoded_sm (Concatenate) (None, None, 14) 0 sm_anchor[0][0] sm_bbox_processor[0][0] __________________________________________________________________________________________________ encoded_detections (Concatenate (None, None, 14) 0 encoded_bg[0][0] encoded_md[0][0] encoded_sm[0][0] ================================================================================================== Total params: 34,834,184 Trainable params: 34,800,648 Non-trainable params: 33,536 __________________________________________________________________________________________________ INFO: Starting Training Loop. Epoch 1/80 ccff791f0163:243:1279 [0] NCCL INFO Bootstrap : Using eth0:172.17.0.2<0> ccff791f0163:243:1279 [0] NCCL INFO NET/Plugin: Failed to find ncclNetPlugin_v6 symbol. ccff791f0163:243:1279 [0] NCCL INFO NET/Plugin: Loaded net plugin NCCL RDMA Plugin (v5) ccff791f0163:243:1279 [0] NCCL INFO NET/Plugin: Failed to find ncclCollNetPlugin_v6 symbol. ccff791f0163:243:1279 [0] NCCL INFO NET/Plugin: Loaded coll plugin SHARP (v5) ccff791f0163:243:1279 [0] NCCL INFO cudaDriverVersion 12000 NCCL version 2.15.1+cuda11.8 ccff791f0163:243:1279 [0] NCCL INFO Plugin Path : /opt/hpcx/nccl_rdma_sharp_plugin/lib/libnccl-net.so ccff791f0163:243:1279 [0] NCCL INFO P2P plugin IBext ccff791f0163:243:1279 [0] NCCL INFO NET/IB : No device found. ccff791f0163:243:1279 [0] NCCL INFO NET/IB : No device found. ccff791f0163:243:1279 [0] NCCL INFO NET/Socket : Using [0]eth0:172.17.0.2<0> ccff791f0163:243:1279 [0] NCCL INFO Using network Socket ccff791f0163:243:1279 [0] NCCL INFO Setting affinity for GPU 0 to 03ff,f0003fff ccff791f0163:243:1279 [0] NCCL INFO Channel 00/12 : 0 1 2 6 5 4 7 3 ccff791f0163:243:1279 [0] NCCL INFO Channel 01/12 : 0 1 2 6 5 4 7 3 ccff791f0163:243:1279 [0] NCCL INFO Channel 02/12 : 0 3 7 4 5 6 2 1 ccff791f0163:243:1279 [0] NCCL INFO Channel 03/12 : 0 3 7 4 5 6 2 1 ccff791f0163:243:1279 [0] NCCL INFO Channel 04/12 : 0 2 3 1 5 7 6 4 ccff791f0163:243:1279 [0] NCCL INFO Channel 05/12 : 0 4 6 7 5 1 3 2 ccff791f0163:243:1279 [0] NCCL INFO Channel 06/12 : 0 1 2 6 5 4 7 3 ccff791f0163:243:1279 [0] NCCL INFO Channel 07/12 : 0 1 2 6 5 4 7 3 ccff791f0163:243:1279 [0] NCCL INFO Channel 08/12 : 0 3 7 4 5 6 2 1 ccff791f0163:243:1279 [0] NCCL INFO Channel 09/12 : 0 3 7 4 5 6 2 1 ccff791f0163:243:1279 [0] NCCL INFO Channel 10/12 : 0 2 3 1 5 7 6 4 ccff791f0163:243:1279 [0] NCCL INFO Channel 11/12 : 0 4 6 7 5 1 3 2 ccff791f0163:243:1279 [0] NCCL INFO Trees [0] 1/-1/-1->0->-1 [1] 1/-1/-1->0->-1 [2] 3/-1/-1->0->-1 [3] 3/-1/-1->0->-1 [4] 2/-1/-1->0->-1 [5] 4/-1/-1->0->-1 [6] 1/-1/-1->0->-1 [7] 1/-1/-1->0->-1 [8] 3/-1/-1->0->-1 [9] 3/-1/-1->0->-1 [10] 2/-1/-1->0->-1 [11] 4/-1/-1->0->-1 ccff791f0163:243:1279 [0] NCCL INFO Channel 00/0 : 0[4000] -> 1[5000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 01/0 : 0[4000] -> 1[5000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 06/0 : 0[4000] -> 1[5000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 07/0 : 0[4000] -> 1[5000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 04/0 : 0[4000] -> 2[9000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 10/0 : 0[4000] -> 2[9000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 02/0 : 0[4000] -> 3[a000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 03/0 : 0[4000] -> 3[a000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 08/0 : 0[4000] -> 3[a000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 09/0 : 0[4000] -> 3[a000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 05/0 : 0[4000] -> 4[86000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Channel 11/0 : 0[4000] -> 4[86000] via P2P/IPC ccff791f0163:243:1279 [0] NCCL INFO Connected all rings ccff791f0163:243:1279 [0] NCCL INFO Connected all trees ccff791f0163:243:1279 [0] NCCL INFO threadThresholds 8/8/64 | 64/8/64 | 512 | 512 ccff791f0163:243:1279 [0] NCCL INFO 12 coll channels, 16 p2p channels, 2 p2p channels per peer ccff791f0163:243:1279 [0] NCCL INFO Channel 10/1 : 0[4000] -> 5[87000] via P2P/indirect/4[86000] ccff791f0163:243:1279 [0] NCCL INFO Channel 11/1 : 0[4000] -> 5[87000] via P2P/indirect/4[86000] ccff791f0163:243:1279 [0] NCCL INFO Channel 06/1 : 0[4000] -> 6[8a000] via P2P/indirect/2[9000] ccff791f0163:243:1279 [0] NCCL INFO Channel 07/1 : 0[4000] -> 6[8a000] via P2P/indirect/2[9000] ccff791f0163:243:1279 [0] NCCL INFO Channel 14/1 : 0[4000] -> 7[8b000] via P2P/indirect/3[a000] ccff791f0163:243:1279 [0] NCCL INFO Channel 15/1 : 0[4000] -> 7[8b000] via P2P/indirect/3[a000] [ccff791f0163:243 :0:2907] Caught signal 7 (Bus error: nonexistent physical address) [ccff791f0163:254 :0:2906] Caught signal 7 (Bus error: nonexistent physical address) ==== backtrace (tid: 2907) ==== 0 0x0000000000043090 killpg() ???:0 1 0x000000000018bb41 __nss_database_lookup() ???:0 2 0x00000000000755bd ncclGroupEnd() ???:0 3 0x000000000006af86 ncclGroupEnd() ???:0 4 0x0000000000008609 start_thread() ???:0 5 0x000000000011f133 clone() ???:0 ================================= [ccff791f0163:00243] *** Process received signal *** [ccff791f0163:00243] Signal: Bus error (7) [ccff791f0163:00243] Signal code: (-6) [ccff791f0163:00243] Failing at address: 0xf3 [ccff791f0163:00243] [ 0] /usr/lib/x86_64-linux-gnu/libc.so.6(+0x43090)[0x7fdea44f9090] [ccff791f0163:00243] [ 1] /usr/lib/x86_64-linux-gnu/libc.so.6(+0x18bb41)[0x7fdea4641b41] [ccff791f0163:00243] [ 2] /usr/lib/x86_64-linux-gnu/libnccl.so.2(+0x755bd)[0x7fde8e6b65bd] [ccff791f0163:00243] [ 3] /usr/lib/x86_64-linux-gnu/libnccl.so.2(+0x6af86)[0x7fde8e6abf86] [ccff791f0163:00243] [ 4] /usr/lib/x86_64-linux-gnu/libpthread.so.0(+0x8609)[0x7fdea449b609] [ccff791f0163:00243] [ 5] /usr/lib/x86_64-linux-gnu/libc.so.6(clone+0x43)[0x7fdea45d5133] [ccff791f0163:00243] *** End of error message *** ==== backtrace (tid: 2906) ==== 0 0x0000000000043090 killpg() ???:0 1 0x000000000018bb41 __nss_database_lookup() ???:0 2 0x00000000000755bd ncclGroupEnd() ???:0 3 0x000000000006af86 ncclGroupEnd() ???:0 4 0x0000000000008609 start_thread() ???:0 5 0x000000000011f133 clone() ???:0 ================================= [ccff791f0163:00254] *** Process received signal *** [ccff791f0163:00254] Signal: Bus error (7) [ccff791f0163:00254] Signal code: (-6) [ccff791f0163:00254] Failing at address: 0xfe [ccff791f0163:00254] [ 0] /usr/lib/x86_64-linux-gnu/libc.so.6(+0x43090)[0x7fe637810090] [ccff791f0163:00254] [ 1] /usr/lib/x86_64-linux-gnu/libc.so.6(+0x18bb41)[0x7fe637958b41] [ccff791f0163:00254] [ 2] /usr/lib/x86_64-linux-gnu/libnccl.so.2(+0x755bd)[0x7fe6089315bd] [ccff791f0163:00254] [ 3] /usr/lib/x86_64-linux-gnu/libnccl.so.2(+0x6af86)[0x7fe608926f86] [ccff791f0163:00254] [ 4] /usr/lib/x86_64-linux-gnu/libpthread.so.0(+0x8609)[0x7fe6377b2609] [ccff791f0163:00254] [ 5] /usr/lib/x86_64-linux-gnu/libc.so.6(clone+0x43)[0x7fe6378ec133] [ccff791f0163:00254] *** End of error message *** -------------------------------------------------------------------------- Primary job terminated normally, but 1 process returned a non-zero exit code. Per user-direction, the job has been aborted. -------------------------------------------------------------------------- -------------------------------------------------------------------------- mpirun noticed that process rank 4 with PID 0 on node ccff791f0163 exited on signal 7 (Bus error). -------------------------------------------------------------------------- Telemetry data couldn't be sent, but the command ran successfully. [WARNING]: Execution status: FAIL 2023-03-27 03:08:19,454 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.