google-research

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# Use the latest 2.1 version of CircleCI pipeline process engine. See: https://circleci.com/docs/2.0/configuration-reference
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version: 2.1
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jobs:
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  job:  # This is the job name.
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    parameters:
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      PROJECT:
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        type: string
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    docker:
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      - image: 'cimg/python:3.9.0'
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    steps:
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      - run: sudo apt-get update -qq
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      - run: pip install --upgrade pip
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      - run: pip install --upgrade virtualenv
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      - checkout
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      - run: ./<<parameters.PROJECT>>/run.sh
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workflows:
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  all-tests:  # This is the workflow name.
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    jobs:
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      - job:  # This matches the job name above.
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          matrix:
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            parameters:
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              PROJECT:
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                - "abps"
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                - "adaptive_learning_rate_tuner"
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                - "albert"
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                - "algae_dice"
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                - "attribution"
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                - "amortized_bo"
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                - "assemblenet"
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                - "axial"
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                - "bam"
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                - "bisimulation_aaai2020"
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                - "bitempered_loss"
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                - "cell_mixer"
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                - "cfq"
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                - "cnn_quantization"
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                - "cola"
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                - "dataset_analysis"
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                - "dense_representations_for_entity_retrieval"
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                - "depth_and_motion_learning"
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                - "depth_from_video_in_the_wild"
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                - "dql_grasping"
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                - "dreg_estimators"
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                - "dual_pixels"
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                - "dvrl"
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                - "evanet"
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                - "explaining_risk_increase"
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                - "extrapolation"
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                - "factorize_a_city"
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                - "fat"
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                - "flax_models/bert"
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                - "flax_models/cifar"
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                - "flax_models/moco"
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                - "frequency_analysis"
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                - "generalized_rates"
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                - "genomics_ood"
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                - "graph_embedding/dmon"
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                - "graph_embedding/slaq"
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                - "graph_embedding/watch_your_step"
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                - "grouptesting"
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                - "hmc_swindles"
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                - "igt_optimizer"
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                - "jax_dft"
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                - "large_margin"
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                - "learn_to_infer"
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                - "keypose"
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                - "learnreg"
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                - "learning_parameter_allocation"
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                - "local_implicit_grid"
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                - "m_theory"
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                - "meta_reward_learning/semantic_parsing"
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                - "meta_reward_learning/textworld"
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                - "moew"
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                - "moment_advice"
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                - "neutra"
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                - "neural_additive_models"
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                - "nigt_optimizer"
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                - "non_semantic_speech_benchmark"
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                - "norml"
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                - "opt_list"
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                - "poem"
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                - "protein_lm"
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                - "probabilistic_vqvae"
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                - "property_linking"
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                - "protoattend"
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                - "pse/jumping_task"
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                - "psycholab"
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                - "quantum_sample_learning"
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                - "rl4circopt"
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                - "rllim"
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                - "robust_loss"
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                - "robust_loss_jax"
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                - "routing_transformer"
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                - "scrna_benchmark"
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                - "single_view_mpi"
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                - "sm3"
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                - "soft_sort"
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                - "solver1d"
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                - "stacked_capsule_autoencoders"
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                - "state_of_sparsity"
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                - "stochastic_to_deterministic"
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                - "storm_optimizer"
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                - "strategic_exploration"
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                - "sufficient_input_subsets"
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                - "t5_closed_book_qa"
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                - "tabnet"
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                - "tcc"
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                - "tiny_video_nets"
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                - "towards_gan_benchmarks"
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                - "truss_decomposition"
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                - "towards_gan_benchmarks"
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                - "uflow"
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                - "wiki_split_bleu_eval"
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                - "wt5"
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