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I know there are a ton of problems with dependency hell for Python... here is the situation:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
fvcore 0.1.5.post20221221 requires iopath>=0.1.7, which is not installed.
botocore 1.31.65 requires urllib3<2.1,>=1.25.4; python_version >= "3.10", but you have urllib3 2.2.0 which is incompatible.
mediapipe 0.10.8 requires protobuf<4,>=3.11, but you have protobuf 4.25.2 which is incompatible.
sigopt 8.8.2 requires urllib3<2.0.0,>=1.26.5, but you have urllib3 2.2.0 which is incompatible.
tensorboard 2.10.1 requires protobuf<3.20,>=3.9.2, but you have protobuf 4.25.2 which is incompatible.
tensorboardx 2.6 requires protobuf<4,>=3.8.0, but you have protobuf 4.25.2 which is incompatible.
tensorflow 2.10.1 requires protobuf<3.20,>=3.9.2, but you have protobuf 4.25.2 which is incompatible.
tf2onnx 1.14.0 requires flatbuffers<3.0,>=1.12, but you have flatbuffers 23.5.26 which is incompatible.
torchaudio 2.1.2+cu121 requires torch==2.1.2+cu121, but you have torch 2.2.0 which is incompatible.
xformers 0.0.23.post1 requires torch==2.1.2, but you have torch 2.2.0 which is incompatible.
I know flatbuffers is very painful, onnxruntime seems to have the same thing.
The text was updated successfully, but these errors were encountered:
I know there are a ton of problems with dependency hell for Python... here is the situation:
I know
flatbuffers
is very painful, onnxruntime seems to have the same thing.The text was updated successfully, but these errors were encountered: