Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix problem with TensorFlow and cupy tests #1568

Merged
merged 1 commit into from
Dec 12, 2019
Merged

Fix problem with TensorFlow and cupy tests #1568

merged 1 commit into from
Dec 12, 2019

Conversation

JanuszL
Copy link
Contributor

@JanuszL JanuszL commented Dec 12, 2019

Signed-off-by: Janusz Lisiecki jlisiecki@nvidia.com

Why we need this PR?

  • fix problem with TensorFlow and cupy tests
    • when tensorflow-gpu v1.15.0 is installed in the conda environment
      some strange dependency leads to ModuleNotFoundError: No module named 'prompt_toolkit.formatted_text' error
    • fixes cupy version to 6.6.0 as this the last one supporting python 2.7

What happened in this PR?

JIRA TASK: [NA]

@JanuszL JanuszL requested review from jantonguirao, awolant and mzient and removed request for jantonguirao December 12, 2019 14:45
@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1029984]: BUILD STARTED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1029983]: BUILD STARTED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1029985]: BUILD STARTED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1029983]: BUILD FAILED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1029994]: BUILD STARTED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1029984]: BUILD FAILED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1029994]: BUILD FAILED

- when tensorflow-gpu v1.15.0 is installed in the conda environment
  some strange dependency leads to `ModuleNotFoundError: No module
  named 'prompt_toolkit.formatted_text'` error
- according to jupyter/notebook#4050 installing
  `ipykernel<5.0.0 ipython<7.0.0` helps
- fixes cupy version to 6.6.0 as this the last one supporting python 2.7

Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1030022]: BUILD STARTED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1030023]: BUILD STARTED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1030024]: BUILD STARTED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1030024]: BUILD FAILED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1030023]: BUILD PASSED

@dali-automaton
Copy link
Collaborator

CI MESSAGE: [1030022]: BUILD PASSED

@JanuszL JanuszL merged commit 796047e into NVIDIA:master Dec 12, 2019
@JanuszL JanuszL deleted the fix_dataset_test branch December 12, 2019 18:23
klecki pushed a commit that referenced this pull request Dec 12, 2019
- when tensorflow-gpu v1.15.0 is installed in the conda environment
  some strange dependency leads to `ModuleNotFoundError: No module
  named 'prompt_toolkit.formatted_text'` error
- according to jupyter/notebook#4050 installing
  `ipykernel<5.0.0 ipython<7.0.0` helps
- fixes cupy version to 6.6.0 as this the last one supporting python 2.7

Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
JanuszL added a commit to JanuszL/DALI that referenced this pull request Apr 7, 2020
- adjusts DALI dataset operator to the least API
- remove changes from NVIDIA#1568, TensorFlow 1.15 seems to work again with the
  latest ipykernel and ipython
- removes TensorFlow support for 1.14.0 and 2.0.1

Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
JanuszL added a commit that referenced this pull request Apr 8, 2020
- adjusts DALI dataset operator to the least API
- remove changes from #1568, TensorFlow 1.15 seems to work again with the latest ipykernel and ipython
- removes TensorFlow support for 1.14.0 and 2.0.1

Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants