WARNING:tensorflow:From train.py:204: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From train.py:206: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2021-05-28 23:29:35.653675: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
2021-05-28 23:29:35.677039: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3292420000 Hz
2021-05-28 23:29:35.677415: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55a00b0c02e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-05-28 23:29:35.677448: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2021-05-28 23:29:35.678934: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2021-05-28 23:29:35.702501: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:29:35.702994: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX 1650 major: 7 minor: 5 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
2021-05-28 23:29:35.703249: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2021-05-28 23:29:35.704563: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2021-05-28 23:29:35.705550: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2021-05-28 23:29:35.705804: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2021-05-28 23:29:35.707095: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2021-05-28 23:29:35.708178: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2021-05-28 23:29:35.711536: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2021-05-28 23:29:35.711733: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:29:35.712140: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:29:35.712444: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2021-05-28 23:29:35.712531: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2021-05-28 23:29:35.795894: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-05-28 23:29:35.795966: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2021-05-28 23:29:35.795976: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2021-05-28 23:29:35.796188: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:29:35.796540: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:29:35.796895: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:29:35.797193: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3237 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1650, pci bus id: 0000:01:00.0, compute capability: 7.5)
2021-05-28 23:29:35.798773: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55a00afbe8b0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2021-05-28 23:29:35.798810: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce GTX 1650, Compute Capability 7.5
{'dataset_type': 'linemod', 'rotation_representation': 'axis_angle', 'weights': None, 'freeze_backbone': False, 'no_freeze_bn': False, 'batch_size': 1, 'lr': 0.0001, 'no_color_augmentation': False, 'no_6dof_augmentation': False, 'phi': 0, 'gpu': None, 'epochs': 500, 'steps': 1790, 'snapshot_path': 'checkpoints/28_05_2021_23_29_35', 'tensorboard_dir': 'logs/28_05_2021_23_29_35', 'snapshots': True, 'evaluation': True, 'compute_val_loss': False, 'score_threshold': 0.5, 'validation_image_save_path': None, 'multiprocessing': False, 'workers': 4, 'max_queue_size': 10, 'linemod_path': 'linemod_preproc', 'object_id': 1}
Creating the Generators...
Done!
Building the Model...
WARNING:tensorflow:From /home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py:507: calling VarianceScaling.__init__ (from tensorflow.python.ops.init_ops) with distribution=normal is deprecated and will be removed in a future version.
Instructions for updating:
`normal` is a deprecated alias for `truncated_normal`
WARNING:tensorflow:From /home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
2021-05-28 23:30:00.743118: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.743751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX 1650 major: 7 minor: 5 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
2021-05-28 23:30:00.743823: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2021-05-28 23:30:00.743858: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2021-05-28 23:30:00.743890: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2021-05-28 23:30:00.743920: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2021-05-28 23:30:00.743949: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2021-05-28 23:30:00.743978: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2021-05-28 23:30:00.744007: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2021-05-28 23:30:00.744103: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.744458: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.744804: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2021-05-28 23:30:00.745209: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.745535: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX 1650 major: 7 minor: 5 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
2021-05-28 23:30:00.745565: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2021-05-28 23:30:00.745598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
2021-05-28 23:30:00.745638: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10.0
2021-05-28 23:30:00.745669: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10.0
2021-05-28 23:30:00.745692: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10.0
2021-05-28 23:30:00.745712: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2021-05-28 23:30:00.745734: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2021-05-28 23:30:00.745816: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.746147: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.746434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2021-05-28 23:30:00.746465: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-05-28 23:30:00.746476: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2021-05-28 23:30:00.746484: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2021-05-28 23:30:00.746569: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.746902: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2021-05-28 23:30:00.747202: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3237 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1650, pci bus id: 0000:01:00.0, compute capability: 7.5)
Traceback (most recent call last):
File "train.py", line 368, in <module>
main()
File "train.py", line 137, in main
num_rotation_parameters = num_rotation_parameters)
File "/home/nikita/EfficientPose/model.py", line 138, in build_EfficientPose
)([bboxes, classification, rotation, translation])
File "/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py", line 854, in __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
File "/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/autograph/impl/api.py", line 237, in wrapper
raise e.ag_error_metadata.to_exception(e)
NotImplementedError: in converted code:
/home/nikita/EfficientPose/layers.py:443 _filter_detections *
return filter_detections(
/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/ops/map_fn.py:268 map_fn
maximum_iterations=n)
/home/nikita/EfficientPose/layers.py:342 filter_detections *
labels = c * tf.ones((keras.backend.shape(scores)[0],), dtype='int64')
/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py:2560 ones
output = _constant_if_small(one, shape, dtype, name)
/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py:2295 _constant_if_small
if np.prod(shape) < 1000:
<__array_function__ internals>:6 prod
/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3031 prod
keepdims=keepdims, initial=initial, where=where)
/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87 _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/home/nikita/anaconda3/envs/AP/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:736 __array__
" array.".format(self.name))
NotImplementedError: Cannot convert a symbolic Tensor (filtered_detections/map/while/strided_slice_1:0) to a numpy array.
As I understand this is a bug with numpy, but I cannot solve it, please help.
Package Version
------------------------------- -------------------
absl-py 0.12.0
actionlib 1.12.1
angles 1.9.12
arbotix-python 0.10.0
astor 0.8.1
base-local-planner 1.16.7
bondpy 1.8.5
cached-property 1.5.2
camera-calibration 1.15.0
camera-calibration-parsers 1.11.13
catkin 0.7.29
certifi 2020.12.5
cob-cartesian-controller 0.8.12
cob-script-server 0.6.19
cob-twist-controller 0.8.12
controller-manager 0.18.3
controller-manager-msgs 0.18.3
controller-manager-tests 0.18.3
cv-bridge 1.13.0
cycler 0.10.0
Cython 0.29.23
decorator 4.4.2
diagnostic-analysis 1.9.7
diagnostic-common-diagnostics 1.9.7
diagnostic-updater 1.9.7
dynamic-reconfigure 1.6.3
dynamixel-sdk 3.7.51
gast 0.2.2
gazebo-plugins 2.8.7
gazebo-ros 2.8.7
gencpp 0.6.5
geneus 2.2.6
genlisp 0.4.16
genmsg 0.5.16
gennodejs 2.0.1
genpy 0.6.16
google-pasta 0.2.0
grpcio 1.14.1
h5py 3.2.1
image-geometry 1.13.0
imageio 2.9.0
imgaug 0.4.0
importlib-metadata 3.10.0
interactive-markers 1.11.5
joint-state-publisher 1.12.15
joint-state-publisher-gui 1.12.15
kdl-parser-py 1.13.1
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
kiwisolver 1.3.1
laser-geometry 1.6.7
Markdown 3.3.4
matplotlib 3.4.2
message-filters 1.14.11
mkl-fft 1.3.0
mkl-random 1.2.1
mkl-service 2.3.0
moveit-commander 1.0.7
moveit-python 0.4.1
moveit-ros-planning-interface 1.0.7
moveit-ros-visualization 1.0.7
networkx 2.5.1
numpy 1.20.3
opencv-python 4.5.2.52
opt-einsum 3.3.0
pandas 1.1.5
Pillow 8.2.0
pip 21.1.1
plyfile 0.7.4
pr2-controller-manager 1.8.18
progressbar2 3.53.1
protobuf 3.14.0
pyparsing 2.4.7
python-dateutil 2.8.1
python-qt-binding 0.4.3
python-utils 2.5.6
pytz 2021.1
PyWavelets 1.1.1
PyYAML 5.4.1
qt-dotgraph 0.4.2
qt-gui 0.4.2
qt-gui-cpp 0.4.2
qt-gui-py-common 0.4.2
resource-retriever 1.12.6
rosbag 1.14.11
rosboost-cfg 1.14.9
rosclean 1.14.9
roscreate 1.14.9
rosgraph 1.14.11
roslaunch 1.14.11
roslib 1.14.9
roslint 0.11.2
roslz4 1.14.11
rosmake 1.14.9
rosmaster 1.14.11
rosmsg 1.14.11
rosnode 1.14.11
rosparam 1.14.11
rospy 1.14.11
rosservice 1.14.11
rostest 1.14.11
rostopic 1.14.11
rosunit 1.14.9
roswtf 1.14.11
rqt-action 0.4.9
rqt-bag 0.5.1
rqt-bag-plugins 0.5.1
rqt-console 0.4.9
rqt-controller-manager 0.18.3
rqt-dep 0.4.9
rqt-graph 0.4.11
rqt-gui 0.5.2
rqt-gui-py 0.5.2
rqt-image-view 0.4.16
rqt-joint-trajectory-controller 0.17.2
rqt-launch 0.4.8
rqt-logger-level 0.4.8
rqt-moveit 0.5.10
rqt-msg 0.4.8
rqt-nav-view 0.5.7
rqt-plot 0.4.13
rqt-pose-view 0.5.8
rqt-publisher 0.4.8
rqt-py-common 0.5.2
rqt-py-console 0.4.8
rqt-reconfigure 0.5.4
rqt-robot-dashboard 0.5.7
rqt-robot-monitor 0.5.13
rqt-robot-steering 0.5.10
rqt-runtime-monitor 0.5.7
rqt-rviz 0.6.0
rqt-service-caller 0.4.8
rqt-shell 0.4.9
rqt-srv 0.4.8
rqt-tf-tree 0.6.0
rqt-top 0.4.8
rqt-topic 0.4.11
rqt-web 0.4.8
rviz 1.13.17
scikit-image 0.18.1
scipy 1.6.2
seed-smartactuator-sdk 0.0.5
sensor-msgs 1.12.8
setuptools 52.0.0.post20210125
Shapely 1.7.1
six 1.16.0
smach 2.0.1
smach-ros 2.0.1
smclib 1.8.5
srdfdom 0.5.2
tensorboard 1.15.0
tensorflow 1.15.0
tensorflow-estimator 1.15.1
termcolor 1.1.0
tf 1.12.1
tf-conversions 1.12.1
tf2-geometry-msgs 0.6.5
tf2-kdl 0.6.5
tf2-py 0.6.5
tf2-ros 0.6.5
tifffile 2021.4.8
topic-tools 1.14.11
tqdm 4.61.0
typeguard 2.12.0
typing-extensions 3.7.4.3
urdfdom-py 0.4.5
webencodings 0.5.1
Werkzeug 0.16.1
wheel 0.36.2
wrapt 1.12.1
xacro 1.13.10
zipp 3.4.1
# Name Version Build Channel
_libgcc_mutex 0.1 main
_tflow_select 2.1.0 gpu
absl-py 0.12.0 py37h06a4308_0
astor 0.8.1 py37h06a4308_0
binutils_impl_linux-64 2.31.1 h6176602_1
binutils_linux-64 2.31.1 h6176602_9
blas 1.0 mkl
c-ares 1.17.1 h27cfd23_0
ca-certificates 2021.4.13 h06a4308_1
cached-property 1.5.2 py_0
certifi 2020.12.5 py37h06a4308_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
cupti 10.0.130 0
cycler 0.10.0 pypi_0 pypi
cython 0.29.23 pypi_0 pypi
decorator 4.4.2 pypi_0 pypi
gast 0.2.2 py37_0
gcc_impl_linux-64 7.3.0 habb00fd_1
gcc_linux-64 7.3.0 h553295d_9
google-pasta 0.2.0 py_0
grpcio 1.14.1 py37h9ba97e2_0
gxx_impl_linux-64 7.3.0 hdf63c60_1
gxx_linux-64 7.3.0 h553295d_9
h5py 3.2.1 py37h6c542dc_0
hdf5 1.10.6 hb1b8bf9_0
imageio 2.9.0 pypi_0 pypi
imgaug 0.4.0 pypi_0 pypi
importlib-metadata 3.10.0 py37h06a4308_0
intel-openmp 2021.2.0 h06a4308_610
keras-applications 1.0.8 py_1
keras-preprocessing 1.1.2 pyhd3eb1b0_0
kiwisolver 1.3.1 pypi_0 pypi
libedit 3.1.20210216 h27cfd23_1
libffi 3.2.1 hf484d3e_1007
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libprotobuf 3.14.0 h8c45485_0
libstdcxx-ng 9.1.0 hdf63c60_0
markdown 3.3.4 py37h06a4308_0
matplotlib 3.4.2 pypi_0 pypi
mkl 2021.2.0 h06a4308_296
mkl-service 2.3.0 py37h27cfd23_1
mkl_fft 1.3.0 py37h42c9631_2
mkl_random 1.2.1 py37ha9443f7_2
ncurses 6.2 he6710b0_1
networkx 2.5.1 pypi_0 pypi
numpy 1.20.3 pypi_0 pypi
opencv-python 4.5.2.52 pypi_0 pypi
openssl 1.0.2u h7b6447c_0
opt_einsum 3.3.0 pyhd3eb1b0_1
pandas 1.1.5 pypi_0 pypi
pillow 8.2.0 pypi_0 pypi
pip 21.1.1 py37h06a4308_0
plyfile 0.7.4 pypi_0 pypi
progressbar2 3.53.1 pypi_0 pypi
protobuf 3.14.0 py37h2531618_1
pyparsing 2.4.7 pypi_0 pypi
python 3.7.0 h6e4f718_3
python-dateutil 2.8.1 pypi_0 pypi
python-utils 2.5.6 pypi_0 pypi
pytz 2021.1 pypi_0 pypi
pywavelets 1.1.1 pypi_0 pypi
pyyaml 5.4.1 pypi_0 pypi
readline 7.0 h7b6447c_5
scikit-image 0.18.1 pypi_0 pypi
scipy 1.6.2 py37had2a1c9_1
setuptools 52.0.0 py37h06a4308_0
shapely 1.7.1 pypi_0 pypi
six 1.16.0 pypi_0 pypi
sqlite 3.33.0 h62c20be_0
tensorboard 1.15.0 pyhb230dea_0
tensorflow 1.15.0 gpu_py37h0f0df58_0
tensorflow-base 1.15.0 gpu_py37h9dcbed7_0
tensorflow-estimator 1.15.1 pyh2649769_0
tensorflow-gpu 1.15.0 h0d30ee6_0
termcolor 1.1.0 py37h06a4308_1
tifffile 2021.4.8 pypi_0 pypi
tk 8.6.10 hbc83047_0
tqdm 4.61.0 pypi_0 pypi
typeguard 2.12.0 pypi_0 pypi
typing_extensions 3.7.4.3 pyha847dfd_0
webencodings 0.5.1 py37_1
werkzeug 0.16.1 py_0
wheel 0.36.2 pyhd3eb1b0_0
wrapt 1.12.1 py37h7b6447c_1
xz 5.2.5 h7b6447c_0
zipp 3.4.1 pyhd3eb1b0_0
zlib 1.2.11 h7b6447c_3