Installation problem - Githubissues

Hi there! I'd like to try this extension of geppy in my research, but I met some problems when I try to install it in my environment. I cloned the repository and created a env with anaconda. When I ran pip install . from the root directory, I got error as follows:

INFO: pip is looking at multiple versions of tensorflow-text to determine which version is compatible with other requirements. This could take a while.
Collecting tensorflow-text>=2.7.0 (from tf-models-official==2.7.0->geppy-memory==0.0.1)
  Downloading tensorflow_text-2.9.0-cp39-cp39-win_amd64.whl.metadata (2.1 kB)
  Downloading tensorflow_text-2.8.2-cp39-cp39-win_amd64.whl.metadata (2.1 kB)
  Downloading tensorflow_text-2.8.1-cp39-cp39-win_amd64.whl.metadata (2.0 kB)
  Downloading tensorflow_text-2.7.3-cp39-cp39-win_amd64.whl.metadata (1.8 kB)
Collecting rotary-embedding-tensorflow (from geppy-memory==0.0.1)
  Downloading rotary-embedding-tensorflow-0.1.0.tar.gz (5.3 kB)
  Preparing metadata (setup.py) ... done
INFO: pip is still looking at multiple versions of tensorflow-text to determine which version is compatible with other requirements. This could take a while.
ERROR: Cannot install geppy-memory, geppy-memory==0.0.1 and tf-models-official because these package versions have conflicting dependencies.

The conflict is caused by:
    geppy-memory 0.0.1 depends on tensorflow==2.11.0
    tf-models-official 2.7.0 depends on tensorflow>=2.7.0
    rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3
    tensorflow-text 2.10.0 depends on tensorflow<2.11 and >=2.10.0; platform_machine != "arm64" or platform_system != "Darwin"
    geppy-memory 0.0.1 depends on tensorflow==2.11.0
    tf-models-official 2.7.0 depends on tensorflow>=2.7.0
    rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3
    tensorflow-text 2.9.0 depends on tensorflow<2.10 and >=2.9.0; platform_machine != "arm64" or platform_system != "Darwin"
    geppy-memory 0.0.1 depends on tensorflow==2.11.0
    tf-models-official 2.7.0 depends on tensorflow>=2.7.0
    rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3
    tensorflow-text 2.8.2 depends on tensorflow<2.9 and >=2.8.0; platform_machine != "arm64" or platform_system != "Darwin"
    geppy-memory 0.0.1 depends on tensorflow==2.11.0
    tf-models-official 2.7.0 depends on tensorflow>=2.7.0
    rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3
    tensorflow-text 2.8.1 depends on tensorflow<2.9 and >=2.8.0
    geppy-memory 0.0.1 depends on tensorflow==2.11.0
    tf-models-official 2.7.0 depends on tensorflow>=2.7.0
    rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3
    tensorflow-text 2.7.3 depends on tensorflow<2.8 and >=2.7.0

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip to attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts

My python version is 3.9.19(by default). How may I fix this problem?

Hi, I think the error is caused by the option, which sets tf to 2.11.0. I think you can change the tf - requirements in the setup.py from ==2.11.0 to

= 2.7.0.

On Tue, 10 Sep 2024, 14:29 PistilReaper @.***> wrote:

Hi there! I'd like to try this extension of geppy in my research, but I met some problems when I try to install it in my environment. I cloned the repository and created a env with anaconda. When I ran pip install . from the root directory, I got error as follows:

INFO: pip is looking at multiple versions of tensorflow-text to determine which version is compatible with other requirements. This could take a while. Collecting tensorflow-text>=2.7.0 (from tf-models-official==2.7.0->geppy-memory==0.0.1) Downloading tensorflow_text-2.9.0-cp39-cp39-win_amd64.whl.metadata (2.1 kB) Downloading tensorflow_text-2.8.2-cp39-cp39-win_amd64.whl.metadata (2.1 kB) Downloading tensorflow_text-2.8.1-cp39-cp39-win_amd64.whl.metadata (2.0 kB) Downloading tensorflow_text-2.7.3-cp39-cp39-win_amd64.whl.metadata (1.8 kB) Collecting rotary-embedding-tensorflow (from geppy-memory==0.0.1) Downloading rotary-embedding-tensorflow-0.1.0.tar.gz (5.3 kB) Preparing metadata (setup.py) ... done INFO: pip is still looking at multiple versions of tensorflow-text to determine which version is compatible with other requirements. This could take a while. ERROR: Cannot install geppy-memory, geppy-memory==0.0.1 and tf-models-official because these package versions have conflicting dependencies.

The conflict is caused by: geppy-memory 0.0.1 depends on tensorflow==2.11.0 tf-models-official 2.7.0 depends on tensorflow>=2.7.0 rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3 tensorflow-text 2.10.0 depends on tensorflow<2.11 and >=2.10.0; platform_machine != "arm64" or platform_system != "Darwin" geppy-memory 0.0.1 depends on tensorflow==2.11.0 tf-models-official 2.7.0 depends on tensorflow>=2.7.0 rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3 tensorflow-text 2.9.0 depends on tensorflow<2.10 and >=2.9.0; platform_machine != "arm64" or platform_system != "Darwin" geppy-memory 0.0.1 depends on tensorflow==2.11.0 tf-models-official 2.7.0 depends on tensorflow>=2.7.0 rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3 tensorflow-text 2.8.2 depends on tensorflow<2.9 and >=2.8.0; platform_machine != "arm64" or platform_system != "Darwin" geppy-memory 0.0.1 depends on tensorflow==2.11.0 tf-models-official 2.7.0 depends on tensorflow>=2.7.0 rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3 tensorflow-text 2.8.1 depends on tensorflow<2.9 and >=2.8.0 geppy-memory 0.0.1 depends on tensorflow==2.11.0 tf-models-official 2.7.0 depends on tensorflow>=2.7.0 rotary-embedding-tensorflow 0.1.0 depends on tensorflow>=2.3 tensorflow-text 2.7.3 depends on tensorflow<2.8 and >=2.7.0

To fix this you could try to:

loosen the range of package versions you've specified

remove package versions to allow pip to attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts

My python version is 3.9.19(by default). How may I fix this problem?

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Installation problem #1