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Add microsaccades to Brain-Score core #75

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add within-shift batch padding to accommodate TF models

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Add microsaccades to Brain-Score core #75

add within-shift batch padding to accommodate TF models
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Travis CI / Travis CI - Pull Request succeeded Dec 15, 2023 in 4m 29s

Build Passed

The build passed, just like the previous build.

Details

This is a pull request build.

It is running a build against the merge commit, after merging #75 Add microsaccades to Brain-Score core.
Any changes that have been made to the master branch before the build ran are also included.

Jobs and Stages

This build only has a single job.
You can use jobs to test against multiple versions of your runtime or dependencies, or to speed up your build.

Build Configuration

Build Option Setting
Language Python
Operating System Linux (Xenial)
Python Version 3.7
Build Configuration
{
  "global": {
    "env": [
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      {
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  "language": "python",
  "os": [
    "linux"
  ],
  "dist": "xenial",
  "python": [
    "3.7"
  ],
  "sudo": true,
  "before_install": [
    "sudo apt-get update",
    "wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;",
    "bash miniconda.sh -b -p $HOME/miniconda",
    "export PATH=\"$HOME/miniconda/bin:$PATH\"",
    "hash -r",
    "conda config --set always_yes yes --set changeps1 no",
    "conda update -q conda",
    "conda info -a",
    "conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION",
    "source activate test-environment",
    "conda install pytorch torchvision -c pytorch",
    "conda install keras",
    "git clone https://github.com/qbilius/models/ tf-models",
    "export PYTHONPATH=\"$PYTHONPATH:$(pwd)/tf-models/research/slim\""
  ],
  "install": [
    "pip install ."
  ],
  "before_script": [
    "pip install pytest",
    "pip install pytest-timeout",
    "sudo -H pip install awscli --upgrade --ignore-installed six",
    "aws --no-sign-request --region=us-east-1 s3 cp s3://brain-score-models/imagenet2012-val.hdf5 ./imagenet2012.hdf5",
    "conda list"
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  "script": [
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    "if [ \"$TRAVIS_PULL_REQUEST\" = \"true\" ];  then CUDA_VISIBLE_DEVICES= MT_MULTITHREAD=0 MT_IMAGENET_PATH=./imagenet2012.hdf5 pytest --ignore=tf-models -m \"not memory_intense and not private_access\"; fi"
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