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git-kuka_grasp_ddpg's Issues

q

你好,这个大概要训练多久的样子?

can't run run_sh

感谢您的开源,我在运行程序的时候遇到了这个问题,不知道您有没有遇到过?
`(robot_env) robot@robot:~/robot_learning/git-kuka_grasp_ddpg$ ./run_bash.sh
pybullet build time: Oct 18 2019 10:06:48
pybullet build time: Oct 18 2019 10:06:48
pybullet build time: Oct 18 2019 10:06:48
pybullet build time: Oct 18 2019 10:06:48
pybullet build time: Oct 18 2019 10:06:48
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From run.py:57: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From run.py:57: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

rank 1: seed=2019

rank 3: seed=6057
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From run.py:57: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From run.py:57: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

rank 2: seed=4038

rank 4: seed=8076
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/robot/robot_env/lib/python3.5/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:From run.py:57: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.

rank 0: seed=0
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:57: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:57: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:57: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:66: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:66: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:66: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2019-10-18 15:26:17.176031: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-10-18 15:26:17.176031: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-10-18 15:26:17.176194: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:57: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:66: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2019-10-18 15:26:17.176618: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-10-18 15:26:17.180901: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-10-18 15:26:17.180901: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-10-18 15:26:17.180901: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-10-18 15:26:17.181015: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:57: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/stable_baselines/common/tf_util.py:66: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2019-10-18 15:26:17.184935: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-10-18 15:26:17.189846: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-10-18 15:26:17.885167: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.886838: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.907118: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.907388: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.920611: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.920730: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.924157: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x6670410 executing computations on platform CUDA. Devices:
2019-10-18 15:26:17.924171: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.924175: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.924324: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x6b19640 executing computations on platform CUDA. Devices:
2019-10-18 15:26:17.924347: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.924354: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.924458: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.924996: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.926391: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7362d70 executing computations on platform CUDA. Devices:
2019-10-18 15:26:17.926404: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.926408: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.926605: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3696000000 Hz
2019-10-18 15:26:17.926605: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3696000000 Hz
2019-10-18 15:26:17.927017: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x6b93b30 executing computations on platform Host. Devices:
2019-10-18 15:26:17.927032: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
2019-10-18 15:26:17.927043: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x66ea930 executing computations on platform Host. Devices:
2019-10-18 15:26:17.927059: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
2019-10-18 15:26:17.927382: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.927426: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.928183: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3696000000 Hz
2019-10-18 15:26:17.928470: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x73dd250 executing computations on platform Host. Devices:
2019-10-18 15:26:17.928482: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
2019-10-18 15:26:17.929096: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:01:00.0
2019-10-18 15:26:17.929214: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.929251: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:01:00.0
2019-10-18 15:26:17.929416: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.930058: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.931957: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 1 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:03:00.0
2019-10-18 15:26:17.932057: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932107: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932155: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932201: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932249: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932256: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 1 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:03:00.0
2019-10-18 15:26:17.932293: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932375: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932436: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932479: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932523: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932566: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.932609: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.933246: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.933355: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:01:00.0
2019-10-18 15:26:17.933463: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.934739: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-10-18 15:26:17.934753: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2019-10-18 15:26:17.935057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-18 15:26:17.935068: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0 1
2019-10-18 15:26:17.935072: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N Y
2019-10-18 15:26:17.935075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 1: Y N
2019-10-18 15:26:17.935206: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-10-18 15:26:17.935236: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2019-10-18 15:26:17.935369: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 1 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:03:00.0
2019-10-18 15:26:17.935355: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x71eb540 executing computations on platform CUDA. Devices:
2019-10-18 15:26:17.935370: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.935377: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.935485: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-18 15:26:17.935498: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0 1
2019-10-18 15:26:17.935504: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N Y
2019-10-18 15:26:17.935509: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 1: Y N
2019-10-18 15:26:17.935540: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.935650: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.935708: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.935752: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.935794: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.935836: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.937003: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:67: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2019-10-18 15:26:17.938100: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3696000000 Hz
2019-10-18 15:26:17.938337: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-10-18 15:26:17.938383: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2019-10-18 15:26:17.938492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-18 15:26:17.938545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0 1
2019-10-18 15:26:17.938559: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N Y
2019-10-18 15:26:17.938565: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 1: Y N
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:67: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2019-10-18 15:26:17.938765: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x87fb900 executing computations on platform CUDA. Devices:
2019-10-18 15:26:17.938786: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.938792: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (1): GeForce GTX 1080 Ti, Compute Capability 6.1
2019-10-18 15:26:17.938859: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7265a30 executing computations on platform Host. Devices:
2019-10-18 15:26:17.938872: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
2019-10-18 15:26:17.939162: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.939702: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:01:00.0
2019-10-18 15:26:17.939807: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.940421: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 1 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:03:00.0
2019-10-18 15:26:17.940528: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.940593: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.940649: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:67: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2019-10-18 15:26:17.940708: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.940762: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.940815: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:79: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:79: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

2019-10-18 15:26:17.942970: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3696000000 Hz
2019-10-18 15:26:17.943036: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-10-18 15:26:17.943051: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2019-10-18 15:26:17.943110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-18 15:26:17.943119: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0 1
2019-10-18 15:26:17.943125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N Y
2019-10-18 15:26:17.943130: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 1: Y N
2019-10-18 15:26:17.943333: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x8875df0 executing computations on platform Host. Devices:
2019-10-18 15:26:17.943347: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
2019-10-18 15:26:17.943754: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-10-18 15:26:17.944545: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:01:00.0
2019-10-18 15:26:17.944681: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:79: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

2019-10-18 15:26:17.945617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 1 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6325
pciBusID: 0000:03:00.0
2019-10-18 15:26:17.945805: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.945920: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.945998: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.946062: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.946134: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
2019-10-18 15:26:17.946207: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/usr/local/cuda-9.0/lib64:/home/robot/.mujoco/mujoco200/bin
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:67: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2019-10-18 15:26:17.949321: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-10-18 15:26:17.949354: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2019-10-18 15:26:17.949417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-18 15:26:17.949431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0 1
2019-10-18 15:26:17.949438: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N Y
2019-10-18 15:26:17.949443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 1: Y N
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:67: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:79: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:79: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:458: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:458: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:458: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:458: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:458: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:459: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dense instead.
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:459: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dense instead.
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:459: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dense instead.
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:459: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dense instead.
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:459: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dense instead.
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/math_grad.py:1250: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/math_grad.py:1250: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/math_grad.py:1250: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/math_grad.py:1250: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/robot/robot_env/lib/python3.5/site-packages/tensorflow/python/ops/math_grad.py:1250: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-10-18 15:26:19.128151: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
2019-10-18 15:26:19.148428: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
2019-10-18 15:26:19.164861: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
2019-10-18 15:26:19.192609: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
2019-10-18 15:26:19.209308: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
var_list!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

<tf.Variable 'obs_rms/runningsum:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/runningsumsq:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'state_rms/runningsum:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/runningsumsq:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'Actor/eval/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:242: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

var_list!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

<tf.Variable 'obs_rms/runningsum:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/runningsumsq:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'state_rms/runningsum:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/runningsumsq:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'Actor/eval/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:242: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:243: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.

var_list!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

<tf.Variable 'obs_rms/runningsum:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/runningsumsq:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'state_rms/runningsum:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/runningsumsq:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'Actor/eval/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:242: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

var_list!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

<tf.Variable 'obs_rms/runningsum:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/runningsumsq:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'state_rms/runningsum:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/runningsumsq:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'Actor/eval/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:242: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

var_list!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

<tf.Variable 'obs_rms/runningsum:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/runningsumsq:0' shape=(128, 128, 3) dtype=float64_ref>
<tf.Variable 'obs_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'state_rms/runningsum:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/runningsumsq:0' shape=(9,) dtype=float64_ref>
<tf.Variable 'state_rms/count:0' shape=() dtype=float64_ref>
<tf.Variable 'Actor/eval/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/eval/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/eval/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/weights:0' shape=(7, 7, 3, 32) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv/biases:0' shape=(32,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/weights:0' shape=(5, 5, 32, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_1/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_2/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/weights:0' shape=(3, 3, 64, 64) dtype=float32_ref>
<tf.Variable 'Actor/target/Conv_3/biases:0' shape=(64,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/kernel:0' shape=(1024, 137) dtype=float32_ref>
<tf.Variable 'Actor/target/dense/bias:0' shape=(137,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_2/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/kernel:0' shape=(128, 4) dtype=float32_ref>
<tf.Variable 'Actor/target/dense_3/bias:0' shape=(4,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/eval_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/kernel:0' shape=(13, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/kernel:0' shape=(128, 128) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_1/bias:0' shape=(128,) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/kernel:0' shape=(128, 1) dtype=float32_ref>
<tf.Variable 'Critic/target_1/dense_2/bias:0' shape=(1,) dtype=float32_ref>
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:242: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:243: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:243: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:243: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:243: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.merge is deprecated. Please use tf.compat.v1.summary.merge instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

Demo Collecting...
Traceback (most recent call last):
File "run.py", line 248, in
main(**args)
File "run.py", line 237, in main
demo_collect( agent, Demo_CAPACITY, use_segmentation_Mask )
File "run.py", line 89, in demo_collect
transition = np.load(demo_tran_file_path, allow_pickle=True)
File "/home/robot/robot_env/lib/python3.5/site-packages/numpy/lib/npyio.py", line 428, in load
fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'all_demo/demo0.npy'
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.merge is deprecated. Please use tf.compat.v1.summary.merge instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

Demo Collecting...
Traceback (most recent call last):
File "run.py", line 248, in
main(**args)
File "run.py", line 237, in main
demo_collect( agent, Demo_CAPACITY, use_segmentation_Mask )
File "run.py", line 89, in demo_collect
transition = np.load(demo_tran_file_path, allow_pickle=True)
File "/home/robot/robot_env/lib/python3.5/site-packages/numpy/lib/npyio.py", line 428, in load
fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'all_demo/demo0.npy'
WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.merge is deprecated. Please use tf.compat.v1.summary.merge instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.merge is deprecated. Please use tf.compat.v1.summary.merge instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.merge is deprecated. Please use tf.compat.v1.summary.merge instead.

WARNING:tensorflow:From /home/robot/robot_learning/git-kuka_grasp_ddpg/algorithm/ddpg.py:245: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

Demo Collecting...
Traceback (most recent call last):
File "run.py", line 248, in
main(**args)
File "run.py", line 237, in main
demo_collect( agent, Demo_CAPACITY, use_segmentation_Mask )
File "run.py", line 89, in demo_collect
transition = np.load(demo_tran_file_path, allow_pickle=True)
File "/home/robot/robot_env/lib/python3.5/site-packages/numpy/lib/npyio.py", line 428, in load
fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'all_demo/demo0.npy'

Demo Collecting...
Traceback (most recent call last):
File "run.py", line 248, in
main(**args)
File "run.py", line 237, in main
demo_collect( agent, Demo_CAPACITY, use_segmentation_Mask )
File "run.py", line 89, in demo_collect
transition = np.load(demo_tran_file_path, allow_pickle=True)
File "/home/robot/robot_env/lib/python3.5/site-packages/numpy/lib/npyio.py", line 428, in load
fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'all_demo/demo0.npy'

Demo Collecting...
Traceback (most recent call last):
File "run.py", line 248, in
main(**args)
File "run.py", line 237, in main
demo_collect( agent, Demo_CAPACITY, use_segmentation_Mask )
File "run.py", line 89, in demo_collect
transition = np.load(demo_tran_file_path, allow_pickle=True)
File "/home/robot/robot_env/lib/python3.5/site-packages/numpy/lib/npyio.py", line 428, in load
fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'all_demo/demo0.npy'

Primary job terminated normally, but 1 process returned
a non-zero exit code.. Per user-direction, the job has been aborted.`

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