Merge pull request #833 from fsschneider/rename_algoperf

Rename package to `algoperf`

Author: priyakasimbeg

.github/workflows/linting.yml

@@ -17,7 +17,7 @@ jobs:
         pip install pylint==2.16.1
     - name: Run pylint
       run: |
-        pylint algorithmic_efficiency
+        pylint algoperf
         pylint reference_algorithms
         pylint prize_qualification_baselines
         pylint submission_runner.py

.gitignore

@@ -12,8 +12,8 @@ makefile
 *.swp
 */data/
 *events.out.tfevents*
-algorithmic_efficiency/workloads/librispeech_conformer/data_dir
-algorithmic_efficiency/workloads/librispeech_conformer/work_dir
+algoperf/workloads/librispeech_conformer/data_dir
+algoperf/workloads/librispeech_conformer/work_dir
 *.flac
 *.npy
 *.csv
@@ -25,4 +25,4 @@ scoring/plots/
 !scoring/test_data/experiment_dir/study_0/mnist_jax/trial_0/eval_measurements.csv
 !scoring/test_data/experiment_dir/study_0/mnist_jax/trial_1/eval_measurements.csv
 
-algorithmic_efficiency/_version.py
+algoperf/_version.py

CHANGELOG.md

@@ -16,8 +16,8 @@
 from tensorflow.io import gfile  # pytype: disable=import-error
 import torch
 
-from algorithmic_efficiency import spec
-from algorithmic_efficiency.pytorch_utils import pytorch_setup
+from algoperf import spec
+from algoperf.pytorch_utils import pytorch_setup
 
 _, _, DEVICE, _ = pytorch_setup()
 CheckpointReturn = Tuple[spec.OptimizerState,

CONTRIBUTING.md

@@ -11,7 +11,7 @@
 from torch.utils.data import DistributedSampler
 from torch.utils.data import Sampler
 
-from algorithmic_efficiency import spec
+from algoperf import spec
 
 
 def shard_and_maybe_pad_np(