requirement.txt has two version of pyhocon and training issue

[AsDeadAsADodo]

I deleted the 0.3.59 version

I changed the dtu.conf data_path to absolute path

then I ran sh ***/train.sh

I got the following traceback

Traceback (most recent call last):
  File "train.py", line 6, in <module>
    from tensorboardX import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/__init__.py", line 5, in <module>
    from .torchvis import TorchVis
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/torchvis.py", line 11, in <module>
    from .writer import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/writer.py", line 17, in <module>
    from .comet_utils import CometLogger
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/comet_utils.py", line 6, in <module>
    from .summary import _clean_tag
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/summary.py", line 13, in <module>
    from .proto.summary_pb2 import Summary
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/summary_pb2.py", line 16, in <module>
    from tensorboardX.proto import tensor_pb2 as tensorboardX_dot_proto_dot_tensor__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/tensor_pb2.py", line 16, in <module>
    from tensorboardX.proto import resource_handle_pb2 as tensorboardX_dot_proto_dot_resource__handle__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/resource_handle_pb2.py", line 42, in <module>
    serialized_options=None, file=DESCRIPTOR),
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/google/protobuf/descriptor.py", line 561, in __new__
    _message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
Traceback (most recent call last):
  File "train.py", line 6, in <module>
    from tensorboardX import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/__init__.py", line 5, in <module>
    from .torchvis import TorchVis
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/torchvis.py", line 11, in <module>
    from .writer import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/writer.py", line 17, in <module>
    from .comet_utils import CometLogger
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/comet_utils.py", line 6, in <module>
    from .summary import _clean_tag
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/summary.py", line 13, in <module>
    from .proto.summary_pb2 import Summary
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/summary_pb2.py", line 16, in <module>
    from tensorboardX.proto import tensor_pb2 as tensorboardX_dot_proto_dot_tensor__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/tensor_pb2.py", line 16, in <module>
    from tensorboardX.proto import resource_handle_pb2 as tensorboardX_dot_proto_dot_resource__handle__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/resource_handle_pb2.py", line 42, in <module>
    serialized_options=None, file=DESCRIPTOR),
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/google/protobuf/descriptor.py", line 561, in __new__
    _message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
Traceback (most recent call last):
  File "train.py", line 6, in <module>
    from tensorboardX import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/__init__.py", line 5, in <module>
    from .torchvis import TorchVis
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/torchvis.py", line 11, in <module>
    from .writer import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/writer.py", line 17, in <module>
    from .comet_utils import CometLogger
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/comet_utils.py", line 6, in <module>
    from .summary import _clean_tag
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/summary.py", line 13, in <module>
    from .proto.summary_pb2 import Summary
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/summary_pb2.py", line 16, in <module>
    from tensorboardX.proto import tensor_pb2 as tensorboardX_dot_proto_dot_tensor__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/tensor_pb2.py", line 16, in <module>
    from tensorboardX.proto import resource_handle_pb2 as tensorboardX_dot_proto_dot_resource__handle__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/resource_handle_pb2.py", line 42, in <module>
    serialized_options=None, file=DESCRIPTOR),
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/google/protobuf/descriptor.py", line 561, in __new__
    _message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
Traceback (most recent call last):
  File "train.py", line 6, in <module>
    from tensorboardX import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/__init__.py", line 5, in <module>
    from .torchvis import TorchVis
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/torchvis.py", line 11, in <module>
    from .writer import SummaryWriter
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/writer.py", line 17, in <module>
    from .comet_utils import CometLogger
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/comet_utils.py", line 6, in <module>
    from .summary import _clean_tag
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/summary.py", line 13, in <module>
    from .proto.summary_pb2 import Summary
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/summary_pb2.py", line 16, in <module>
    from tensorboardX.proto import tensor_pb2 as tensorboardX_dot_proto_dot_tensor__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/tensor_pb2.py", line 16, in <module>
    from tensorboardX.proto import resource_handle_pb2 as tensorboardX_dot_proto_dot_resource__handle__pb2
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/tensorboardX/proto/resource_handle_pb2.py", line 42, in <module>
    serialized_options=None, file=DESCRIPTOR),
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/google/protobuf/descriptor.py", line 561, in __new__
    _message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
Traceback (most recent call last):
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/torch/distributed/launch.py", line 263, in <module>
    main()
  File "/home/kong/anaconda3/envs/mvs2d/lib/python3.7/site-packages/torch/distributed/launch.py", line 259, in main
    cmd=cmd)
subprocess.CalledProcessError: Command '['/home/kong/anaconda3/envs/mvs2d/bin/python', '-u', 'train.py', '--local_rank=3', '--model_name=config0', '--num_epochs=80', '--DECAY_STEP_LIST', '40', '70', '--cfg', './configs/dtu/release.conf']' returned non-zero exit status 1.