Can't find tensorflow 2.1.0 with python 3.7 and pip

[maurera]

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System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18.04
• TensorFlow installed from (source or binary): binary
• TensorFlow version: 2.1.0
• Python version: 3.7
• Installed using virtualenv? pip? conda?: pip
• CUDA/cuDNN version: 10.1
• GPU model and memory: Unknown

Describe the problem
I have a Docker file that is being built to run on a GPU machine in AWS. When I try to pip install tensorflow 2.1.0 I get the error:

No matching distribution found for tensorflow==2.1.0

Provide the exact sequence of commands / steps that you executed before running into the problem
My Docker file is as follows:

FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04

RUN apt -qq -y update \
	&& apt -qq -y upgrade
RUN apt -y install python3.7
RUN apt -y install python3-pip

RUN which python3.7
RUN which pip3

RUN ln -s /usr/bin/python3.7 /usr/bin/python
RUN ln -s /usr/bin/pip3 /usr/bin/pip
RUN python --version
RUN which pip

WORKDIR /usr/src/app
COPY . .
RUN pip3 install tensorflow==2.1.0
ENTRYPOINT ["/usr/src/app/docker-entrypoint.sh"]
CMD ["python", "test.py"]

Any other info / logs
The full error is:

Collecting tensorflow==2.1.0
Could not find a version that satisfies the requirement tensorflow==2.1.0 (from -r requirements.txt (line 4)) (from versions: 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.8.0rc0, 1.8.0rc1, 1.8.0, 1.9.0rc0, 1.9.0rc1, 1.9.0rc2, 1.9.0, 1.10.0rc0, 1.10.0rc1, 1.10.0, 1.10.1, 1.11.0rc0, 1.11.0rc1, 1.11.0rc2, 1.11.0, 1.12.0rc0, 1.12.0rc1, 1.12.0rc2, 1.12.0, 1.12.2, 1.12.3, 1.13.0rc0, 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1)
No matching distribution found for tensorflow==2.1.0 (from -r requirements.txt (line 4))
The command '/bin/sh -c pip3 install --no-cache-dir -r requirements.txt' returned a non-zero code: 1

[loricrotser]

I am seeing a similar error in the "tensorflow/tensorflow/lite/micro/examples/micro_speech/train_speech_model.ipynb" example - running this in the google notebook gives me the following error:

ERROR: Could not find a version that satisfies the requirement tf-nightly-gpu==1.15.0.dev20190729 (from versions: 2.2.0.dev20200201, 2.2.0.dev20200202, 2.2.0.dev20200203, 2.2.0.dev20200204, 2.2.0.dev20200205, 2.2.0.dev20200206, 2.2.0.dev20200207, 2.2.0.dev20200208, 2.2.0.dev20200210, 2.2.0.dev20200211, 2.2.0.dev20200212, 2.2.0.dev20200215, 2.2.0.dev20200216, 2.2.0.dev20200217, 2.2.0.dev20200218, 2.2.0.dev20200226, 2.2.0.dev20200227, 2.2.0.dev20200228, 2.2.0.dev20200229, 2.2.0.dev20200301, 2.2.0.dev20200302, 2.2.0.dev20200303, 2.2.0.dev20200304)
ERROR: No matching distribution found for tf-nightly-gpu==1.15.0.dev20190729

This was working as of a week ago.

[maurera]

I think I've found a workaround, adding the line RUN python3.7 -m pip install --upgrade pip.

Is this workflow recommended or is there a better solution?

Working Docker file:

FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04

RUN apt -qq -y update \
	&& apt -qq -y upgrade
RUN apt -y install python3.7
RUN apt -y install python3-pip
RUN python3.7 -m pip install --upgrade pip

RUN which python3.7
RUN which pip3

RUN ln -s /usr/bin/python3.7 /usr/bin/python
RUN ln -s /usr/bin/pip3 /usr/bin/pip
RUN python --version
RUN which pip

WORKDIR /usr/src/app
COPY . .
RUN pip3 install tensorflow==2.1.0
ENTRYPOINT ["/usr/src/app/docker-entrypoint.sh"]
CMD ["python", "test.py"]

[amahendrakar]

@maurera,
As per the documentation TensorFlow 2 packages require a pip version >19.0.

Please check this comment from a similar issue and let us know if it works. Thanks!

[mihaimaruseac]

RUN python3.7 -m pip install --upgrade pip is indeed the right solution. Can you please make a PR to add it to the dockerfiles?

[maurera]

@amahendrakar - yes, this works. See my comment from yesterday

[amahendrakar]

@maurera,
Is this still an issue. Please feel free to close the issue if resolved. Thanks!

[tensorflow-bot]

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