Adding isort

.github/workflows/format.yml

@@ -29,6 +29,7 @@ jobs:
         pip install yapf==0.32.0
         pip install toml==0.10.2
         pip install black==22.10.0
+        pip install isort==5.12.0
     - name: Running yapf
       run: |
         yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \
@@ -42,3 +43,14 @@ jobs:
             sky/skylet/providers/gcp/ \
             sky/skylet/providers/azure/ \
             sky/skylet/providers/ibm/
+    - name: Running isort for black formatted files
+      run: |
+        isort --diff --check --profile black -l 88 -m 3 \
+            sky/skylet/providers/ibm/
+    - name: Running isort for yapf formatted files
+      run: |
+        isort --diff --check ./ --sg 'sky/skylet/ray_patches/**' \
+            --sg 'sky/skylet/providers/aws/**' \
+            --sg 'sky/skylet/providers/gcp/**' \
+            --sg 'sky/skylet/providers/azure/**' \
+            --sg 'sky/skylet/providers/ibm/**'

docs/source/conf.py

@@ -1,7 +1,7 @@
 # Configuration file for the Sphinx documentation builder.
 
-import sys
 import os
+import sys
 
 sys.path.insert(0, os.path.abspath('.'))
 sys.path.insert(0, os.path.abspath('../'))

examples/docker/echo_app.py

@@ -8,9 +8,10 @@
 #   python echo_app.py
 
 import random
-import sky
 import string
 
+import sky
+
 with sky.Dag() as dag:
     # The setup command to build the container image
     setup = 'docker build -t echo:v0 /echo_app'

examples/example_app.py

@@ -15,10 +15,10 @@
 Incorporate the notion of region/zone (affects pricing).
 Incorporate the notion of per-account egress quota (affects pricing).
 """
-import sky
-
 import time_estimators
 
+import sky
+
 
 def make_application():
     """A simple application: train_op -> infer_op."""

examples/horovod_distributed_tf_app.py

@@ -2,9 +2,10 @@
 import json
 from typing import Dict, List
 
-import sky
 import time_estimators
 
+import sky
+
 IPAddr = str
 
 with sky.Dag() as dag:

examples/local/launch_cloud_onprem.py

@@ -22,9 +22,9 @@
 import tempfile
 import textwrap
 import uuid
-import yaml
 
 from click import testing as cli_testing
+import yaml
 
 from sky import cli
 from sky import global_user_state

examples/playground/storage_playground.py

@@ -2,7 +2,8 @@
 # These are not exhaustive tests. Actual Tests are in tests/test_storage.py and
 # tests/test_smoke.py.
 
-from sky.data import storage, StoreType
+from sky.data import storage
+from sky.data import StoreType
 
 
 def get_args():

examples/ray_tune_examples/tune_ptl_example.py

@@ -1,15 +1,14 @@
 ### Source: https://docs.ray.io/en/latest/tune/examples/mnist_ptl_mini.html
 import math
+import os
 
-import torch
 from filelock import FileLock
-from torch.nn import functional as F
-import pytorch_lightning as pl
 from pl_bolts.datamodules.mnist_datamodule import MNISTDataModule
-import os
-from ray.tune.integration.pytorch_lightning import TuneReportCallback
-
+import pytorch_lightning as pl
 from ray import tune
+from ray.tune.integration.pytorch_lightning import TuneReportCallback
+import torch
+from torch.nn import functional as F
 
 
 class LightningMNISTClassifier(pl.LightningModule):

examples/spot/lightning_cifar10/train.py

@@ -1,21 +1,25 @@
 # Code modified from https://pytorch-lightning.readthedocs.io/en/stable/notebooks/lightning_examples/cifar10-baseline.html
 
+import argparse
+import glob
 import os
 
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-import torchvision
 from pl_bolts.datamodules import CIFAR10DataModule
 from pl_bolts.transforms.dataset_normalizations import cifar10_normalization
-from pytorch_lightning import LightningModule, Trainer, seed_everything
-from pytorch_lightning.callbacks import LearningRateMonitor, ModelCheckpoint
+from pytorch_lightning import LightningModule
+from pytorch_lightning import seed_everything
+from pytorch_lightning import Trainer
+from pytorch_lightning.callbacks import LearningRateMonitor
+from pytorch_lightning.callbacks import ModelCheckpoint
 from pytorch_lightning.loggers import WandbLogger
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
 from torch.optim.lr_scheduler import OneCycleLR
-from torch.optim.swa_utils import AveragedModel, update_bn
+from torch.optim.swa_utils import AveragedModel
+from torch.optim.swa_utils import update_bn
 from torchmetrics.functional import accuracy
-
-import argparse, glob
+import torchvision
 
 seed_everything(7)
 

examples/spot/resnet_ddp/resnet_ddp.py

@@ -1,17 +1,15 @@
+import argparse
+import os
+import random
+
+import numpy as np
 import torch
-from torch.utils.data.distributed import DistributedSampler
-from torch.utils.data import DataLoader
 import torch.nn as nn
 import torch.optim as optim
-
+from torch.utils.data import DataLoader
+from torch.utils.data.distributed import DistributedSampler
 import torchvision
 import torchvision.transforms as transforms
-
-import argparse
-import os
-import random
-import numpy as np
-
 import wandb
 
 

examples/tpu/tpu_app_code/run_tpu.py

@@ -1,8 +1,8 @@
-import tensorflow_datasets as tfds
 import tensorflow as tf
+import tensorflow_datasets as tfds
 import tensorflow_text as tf_text
-from transformers import TFDistilBertForSequenceClassification
 from transformers import TFBertForSequenceClassification
+from transformers import TFDistilBertForSequenceClassification
 
 tpu = tf.distribute.cluster_resolver.TPUClusterResolver()
 tf.config.experimental_connect_to_cluster(tpu)

format.sh

@@ -54,6 +54,14 @@ YAPF_EXCLUDES=(
     '--exclude' 'sky/skylet/providers/ibm/**'
 )
 
+ISORT_YAPF_EXCLUDES=(
+    '--sg' 'build/**'
+    '--sg' 'sky/skylet/providers/aws/**'
+    '--sg' 'sky/skylet/providers/gcp/**'
+    '--sg' 'sky/skylet/providers/azure/**'
+    '--sg' 'sky/skylet/providers/ibm/**'
+)
+
 BLACK_INCLUDES=(
     'sky/skylet/providers/aws'
     'sky/skylet/providers/gcp'
@@ -86,9 +94,12 @@ format_changed() {
 
 # Format all files
 format_all() {
-    yapf --in-place "${YAPF_FLAGS[@]}" "${YAPF_EXCLUDES[@]}" sky tests examples
+    yapf --in-place "${YAPF_FLAGS[@]}" "${YAPF_EXCLUDES[@]}" sky tests examples llm
 }
 
+echo 'SkyPilot Black:'
+black "${BLACK_INCLUDES[@]}"
+
 ## This flag formats individual files. --files *must* be the first command line
 ## arg to use this option.
 if [[ "$1" == '--files' ]]; then
@@ -102,8 +113,12 @@ else
    format_changed
 fi
 echo 'SkyPilot yapf: Done'
-echo 'SkyPilot Black:'
-black "${BLACK_INCLUDES[@]}"
+
+echo 'SkyPilot isort:'
+isort sky tests examples llm docs "${ISORT_YAPF_EXCLUDES[@]}"
+
+isort --profile black -l 88 -m 3 "sky/skylet/providers/ibm"
+
 
 # Run mypy
 # TODO(zhwu): When more of the codebase is typed properly, the mypy flags

llm/vicuna-llama-2/scripts/flash_attn_patch.py

@@ -1,17 +1,16 @@
-from typing import List, Optional, Tuple
 import logging
+from typing import List, Optional, Tuple
 
+from einops import rearrange
+from flash_attn.bert_padding import pad_input
+from flash_attn.bert_padding import unpad_input
+# pip3 install "flash-attn>=2.0"
+from flash_attn.flash_attn_interface import flash_attn_varlen_qkvpacked_func
 import torch
 from torch import nn
-
 import transformers
 from transformers.models.llama.modeling_llama import apply_rotary_pos_emb
 
-from einops import rearrange
-from flash_attn.flash_attn_interface import (  # pip3 install "flash-attn>=2.0"
-    flash_attn_varlen_qkvpacked_func,)
-from flash_attn.bert_padding import unpad_input, pad_input
-
 
 def forward(
     self,

llm/vicuna-llama-2/scripts/train.py

@@ -30,23 +30,23 @@
 #    See the License for the specific language governing permissions and
 #    limitations under the License.
 
-from dataclasses import dataclass, field
+from dataclasses import dataclass
+from dataclasses import field
 import json
-import pathlib
 import os
+import pathlib
 import shutil
 import subprocess
 from typing import Dict, Optional
 
+from fastchat.conversation import SeparatorStyle
+from fastchat.model.model_adapter import get_conversation_template
 import torch
 from torch.utils.data import Dataset
 import transformers
 from transformers import Trainer
 from transformers.trainer_pt_utils import LabelSmoother
 
-from fastchat.conversation import SeparatorStyle
-from fastchat.model.model_adapter import get_conversation_template
-
 IGNORE_TOKEN_ID = LabelSmoother.ignore_index
 
 

llm/vicuna-llama-2/scripts/train_flash_attn.py

@@ -1,8 +1,7 @@
 # Make it more memory efficient by monkey patching the LLaMA model with FlashAttn.
 
 # Need to call this before importing transformers.
-from flash_attn_patch import (
-    replace_llama_attn_with_flash_attn,)
+from flash_attn_patch import replace_llama_attn_with_flash_attn
 
 replace_llama_attn_with_flash_attn()
 

llm/vicuna-llama-2/scripts/train_xformers.py

@@ -16,8 +16,7 @@
 # Make it more memory efficient by monkey patching the LLaMA model with FlashAttn.
 
 # Need to call this before importing transformers.
-from xformers_patch import (
-    replace_llama_attn_with_xformers_attn,)
+from xformers_patch import replace_llama_attn_with_xformers_attn
 
 replace_llama_attn_with_xformers_attn()
 

llm/vicuna-llama-2/scripts/xformers_patch.py

@@ -21,8 +21,8 @@
 from typing import Optional, Tuple
 
 import torch
-import transformers.models.llama.modeling_llama
 from torch import nn
+import transformers.models.llama.modeling_llama
 
 try:
     import xformers.ops

pyproject.toml

@@ -22,3 +22,10 @@ python_version = "3.8"
 follow_imports = "skip"
 ignore_missing_imports = true
 allow_redefinition = true
+
+[tool.isort]
+profile = "google"
+line_length = 80
+multi_line_output = 0
+combine_as_imports = true
+use_parentheses = true

requirements-dev.txt

@@ -6,6 +6,7 @@ black==22.10.0
 # https://github.com/edaniszewski/pylint-quotes
 pylint-quotes==0.2.3
 toml==0.10.2
+isort==5.12.0
 
 # type checking
 mypy==0.991

sky/__init__.py

@@ -11,18 +11,35 @@
 from sky import benchmark
 from sky import clouds
 from sky.clouds.service_catalog import list_accelerators
+from sky.core import autostop
+from sky.core import cancel
+from sky.core import cost_report
+from sky.core import down
+from sky.core import download_logs
+from sky.core import job_status
+from sky.core import queue
+from sky.core import spot_cancel
+from sky.core import spot_queue
+from sky.core import spot_status
+from sky.core import start
+from sky.core import status
+from sky.core import stop
+from sky.core import storage_delete
+from sky.core import storage_ls
+from sky.core import tail_logs
 from sky.dag import Dag
-from sky.execution import launch, exec, spot_launch  # pylint: disable=redefined-builtin
+from sky.data import Storage
+from sky.data import StorageMode
+from sky.data import StoreType
+from sky.execution import exec  # pylint: disable=redefined-builtin
+from sky.execution import launch
+from sky.execution import spot_launch
+from sky.optimizer import Optimizer
+from sky.optimizer import OptimizeTarget
 from sky.resources import Resources
-from sky.task import Task
-from sky.optimizer import Optimizer, OptimizeTarget
-from sky.data import Storage, StorageMode, StoreType
-from sky.status_lib import ClusterStatus
 from sky.skylet.job_lib import JobStatus
-from sky.core import (status, start, stop, down, autostop, queue, cancel,
-                      tail_logs, download_logs, job_status, spot_queue,
-                      spot_status, spot_cancel, storage_ls, storage_delete,
-                      cost_report)
+from sky.status_lib import ClusterStatus
+from sky.task import Task
 
 # Aliases.
 IBM = clouds.IBM

sky/adaptors/cloudflare.py

@@ -3,8 +3,8 @@
 
 import contextlib
 import functools
-import threading
 import os
+import threading
 from typing import Dict, Optional, Tuple
 
 from sky.utils import ux_utils

sky/adaptors/gcp.py

@@ -14,8 +14,8 @@ def wrapper(*args, **kwargs):
         global googleapiclient, google
         if googleapiclient is None or google is None:
             try:
-                import googleapiclient as _googleapiclient
                 import google as _google
+                import googleapiclient as _googleapiclient
                 googleapiclient = _googleapiclient
                 google = _google
             except ImportError: