repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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|---|---|---|---|---|---|---|
ray | ray-master/python/ray/train/tests/test_tensorflow_checkpoint.py | from numpy import ndarray
import os.path
import pytest
import tempfile
import tensorflow as tf
from typing import List
import unittest
import ray
from ray.train.batch_predictor import BatchPredictor
from ray.train.tensorflow import (
TensorflowCheckpoint,
TensorflowTrainer,
TensorflowPredictor,
)
from ray.... | 6,014 | 31.33871 | 88 | py |
ray | ray-master/python/ray/train/tests/test_torch_checkpoint.py | from pathlib import Path
from unittest.mock import patch
import torch
import pickle
from ray.train.torch import TorchCheckpoint
def assert_equal_torch_models(model1, model2):
# Check equality by comparing their `state_dict`
model1_state = model1.state_dict()
model2_state = model2.state_dict()
assert... | 2,001 | 27.197183 | 80 | py |
ray | ray-master/python/ray/train/tests/test_training_iterator.py | import functools
import time
from unittest.mock import patch
import pytest
from ray.air.checkpoint import Checkpoint
from ray.air.config import CheckpointConfig
from ray.train._internal.worker_group import WorkerGroup
from ray.train.trainer import TrainingIterator
from ray.train import DataConfig
import ray
from ray.a... | 12,985 | 27.730088 | 88 | py |
ray | ray-master/python/ray/train/tests/test_backend.py | import math
import os
from unittest.mock import patch
import pytest
import time
import ray
from ray.air._internal.util import StartTraceback
from ray.air import session
# Trigger pytest hook to automatically zip test cluster logs to archive dir on failure
from ray.tests.conftest import pytest_runtest_makereport # n... | 14,072 | 29.134904 | 87 | py |
ray | ray-master/python/ray/train/tests/test_gpu_auto_transfer.py | import os
from unittest.mock import patch
import pytest
import torch
import ray
from ray.air import session
from ray.air.constants import MODEL_KEY
from ray.air.config import ScalingConfig
from ray.train.torch import TorchTrainer, TorchCheckpoint
import ray.train.torch.train_loop_utils
@pytest.mark.parametrize(
... | 4,353 | 27.090323 | 87 | py |
ray | ray-master/python/ray/train/tests/test_tensorflow_trainer.py | import os
import pytest
import ray
from ray.air import session
from ray.train.examples.tf.tensorflow_regression_example import (
train_func as tensorflow_linear_train_func,
)
from ray.air.config import ScalingConfig
from ray.data.preprocessors import Concatenator
from ray.train.batch_predictor import BatchPredicto... | 4,174 | 28.609929 | 81 | py |
ray | ray-master/python/ray/train/tests/test_torch_trainer.py | import contextlib
import uuid
import pytest
import time
import torch
import os
import ray
from ray.train.examples.pytorch.torch_linear_example import (
train_func as linear_train_func,
)
from ray.train.batch_predictor import BatchPredictor
from ray.train.constants import DISABLE_LAZY_CHECKPOINTING_ENV
from ray.tr... | 14,871 | 32.954338 | 90 | py |
ray | ray-master/python/ray/train/tests/lightning_test_utils.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import pytorch_lightning as pl
from torch.utils.data import DataLoader
from torchmetrics import Accuracy
from ray.air import session
class LinearModule(pl.LightningModule):
def __init__(self, input_dim, output_dim, strategy="ddp", fail_epoch=-1) -... | 5,737 | 32.752941 | 85 | py |
ray | ray-master/python/ray/train/tests/test_lightning_predictor.py | import re
import pytest
import torch
import numpy as np
import pytorch_lightning as pl
from torch.utils.data import DataLoader
import ray
from ray.air.constants import MAX_REPR_LENGTH, MODEL_KEY
from ray.air.util.data_batch_conversion import _convert_batch_type_to_pandas
from ray.train.tests.conftest import * # noqa... | 4,217 | 28.914894 | 78 | py |
ray | ray-master/python/ray/train/tests/test_accelerate_trainer_gpu.py | import pytest
import torch
import ray
import torch.nn as nn
from ray.train.examples.pytorch.torch_linear_example import LinearDataset
from ray.train.batch_predictor import BatchPredictor
from ray.train.torch import TorchPredictor
from ray.air.config import ScalingConfig
import ray.train as train
from ray.air import se... | 9,557 | 27.616766 | 87 | py |
ray | ray-master/python/ray/train/tests/test_checkpoints.py | import re
import pytest
from ray.air.constants import MAX_REPR_LENGTH
from ray.train.huggingface import TransformersCheckpoint
from ray.train.lightgbm import LightGBMCheckpoint
from ray.train.rl import RLCheckpoint
from ray.train.sklearn import SklearnCheckpoint
from ray.train.tensorflow import TensorflowCheckpoint
f... | 1,188 | 28 | 72 | py |
ray | ray-master/python/ray/train/tests/test_transformers_checkpoint.py | from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
from ray.train.huggingface import TransformersCheckpoint
from ray.train.tests.dummy_preprocessor import DummyPreprocessor
from ray.train.tests.test_torch_checkpoint import assert_equal_torch_models
from test_transformers_predictor import (
... | 1,672 | 33.854167 | 77 | py |
ray | ray-master/python/ray/train/tests/test_data_parallel_trainer.py | import os
import time
from unittest.mock import patch
import pytest
import ray
from ray import tune
from ray.air import session
from ray.air.checkpoint import Checkpoint
from ray.train._internal.backend_executor import BackendExecutor
from ray.train._internal.worker_group import WorkerGroup
from ray.train.backend impo... | 11,439 | 30.086957 | 88 | py |
ray | ray-master/python/ray/train/tests/test_examples.py | import pytest
from ray.air.config import ScalingConfig
from ray.air.constants import TRAINING_ITERATION
from ray.train.examples.horovod.horovod_example import (
train_func as horovod_torch_train_func,
)
from ray.train.examples.tf.tensorflow_mnist_example import (
train_func as tensorflow_mnist_train_func,
)
f... | 3,816 | 27.699248 | 81 | py |
ray | ray-master/python/ray/train/tests/test_huggingface.py | import pytest
from unittest.mock import patch
import ray
@pytest.fixture
def ray_start_4_cpus():
address_info = ray.init(num_cpus=4)
yield address_info
# The code after the yield will run as teardown code.
ray.shutdown()
def test_huggingface_imports(ray_start_4_cpus):
"""Tests that HuggingFace i... | 2,692 | 32.6625 | 79 | py |
ray | ray-master/python/ray/train/tests/pytorch_pbt_failure.py | import argparse
import sys
import numpy as np
import ray
from ray import tune
from ray.air.config import RunConfig, ScalingConfig, FailureConfig
from ray.train.examples.pytorch.tune_cifar_torch_pbt_example import train_func
from ray.train.torch import TorchConfig, TorchTrainer
from ray.tune.schedulers import Populati... | 2,446 | 29.5875 | 88 | py |
ray | ray-master/python/ray/train/tests/test_lightning_trainer_restore.py | import numpy as np
import pytest
import pytorch_lightning as pl
from pytorch_lightning.callbacks import ModelCheckpoint
import ray
from ray.air import RunConfig, CheckpointConfig
from ray.air.util.data_batch_conversion import _convert_batch_type_to_pandas
from ray.train.constants import MODEL_KEY
from ray.train.traine... | 5,732 | 31.207865 | 87 | py |
ray | ray-master/python/ray/train/tests/test_tensorflow_predictor.py | import re
import numpy as np
import pandas as pd
import pyarrow as pa
import pytest
import tensorflow as tf
import ray
from ray.air.checkpoint import Checkpoint
from ray.air.constants import MAX_REPR_LENGTH
from ray.air.util.data_batch_conversion import (
_convert_pandas_to_batch_type,
_convert_batch_type_to_p... | 8,440 | 32.101961 | 88 | py |
ray | ray-master/python/ray/train/tests/test_mosaic_trainer.py | import pytest
import torch
import torch.utils.data
import torchvision
from torchvision import transforms, datasets
from ray.air import session
from ray.air.config import ScalingConfig
from ray.air.constants import TRAINING_ITERATION
import ray.train as train
from ray.train.trainer import TrainingFailedError
scalin... | 9,100 | 28.453074 | 88 | py |
ray | ray-master/python/ray/train/tests/test_gpu_examples.py | import pytest
import torch
from ray.air import Checkpoint, session
from ray.air.config import ScalingConfig
from ray.air.constants import TRAINING_ITERATION
from ray.train.examples.horovod.horovod_example import (
train_func as horovod_torch_train_func,
)
from ray.train.examples.tf.tensorflow_mnist_example import... | 3,297 | 28.711712 | 84 | py |
ray | ray-master/python/ray/train/tests/test_gpu_amp.py | from timeit import default_timer as timer
from ray.train.torch.torch_checkpoint import TorchCheckpoint
import torch
import torchvision
from ray.air import session
import ray.train as train
from ray.air.config import ScalingConfig
from ray.train.torch.torch_trainer import TorchTrainer
def test_torch_amp_performance... | 2,543 | 29.285714 | 77 | py |
ray | ray-master/python/ray/train/tests/test_trainer_restore.py | from pathlib import Path
import pytest
import warnings
import ray
from ray import air
from ray.air import (
Checkpoint,
CheckpointConfig,
RunConfig,
ScalingConfig,
FailureConfig,
session,
)
from ray.air._internal.remote_storage import upload_to_uri
from ray.train.base_trainer import BaseTrainer... | 19,615 | 34.79562 | 88 | py |
ray | ray-master/python/ray/train/tests/test_xgboost_trainer.py | import pytest
import json
import pandas as pd
import xgboost as xgb
import ray
from ray import tune
from ray.air.checkpoint import Checkpoint
from ray.train.constants import TRAIN_DATASET_KEY
from ray.train.xgboost import XGBoostCheckpoint, XGBoostTrainer
from ray.air.config import ScalingConfig
from ray.data.prepro... | 8,614 | 30.441606 | 81 | py |
ray | ray-master/python/ray/train/tests/test_xgboost_predictor.py | import json
import numpy as np
import pandas as pd
import pyarrow as pa
import pytest
import ray.data
import xgboost as xgb
from ray.air.checkpoint import Checkpoint
from ray.air.util.data_batch_conversion import _convert_pandas_to_batch_type
from ray.data.preprocessor import Preprocessor
from ray.train.batch_predict... | 4,446 | 33.472868 | 88 | py |
ray | ray-master/python/ray/train/tests/test_e2e_wandb_integration.py | """
If a user uses Trainer API directly with wandb integration, they expect to see
* train_loop_config to show up in wandb.config.
This test uses mocked call into wandb API.
"""
import pytest
import ray
from ray.air import RunConfig, ScalingConfig
from ray.air.integrations.wandb import WANDB_ENV_VAR
from ray.air.tes... | 2,104 | 27.445946 | 78 | py |
ray | ray-master/python/ray/train/_internal/session.py | import os
import logging
import platform
import queue
import sys
import threading
import time
from dataclasses import dataclass
from datetime import datetime
from enum import Enum, auto
import functools
from pathlib import Path
import shutil
from typing import TYPE_CHECKING, Any, Callable, Dict, Optional, Type, Union
i... | 32,547 | 33.297155 | 85 | py |
ray | ray-master/python/ray/train/lightning/lightning_checkpoint.py | import os
import logging
import pytorch_lightning as pl
import tempfile
import shutil
from inspect import isclass
from typing import Optional, Type, Dict, Any
from ray.air.constants import MODEL_KEY
from ray.air._internal.checkpointing import save_preprocessor_to_dir
from ray.data import Preprocessor
from ray.train.t... | 6,354 | 36.382353 | 87 | py |
ray | ray-master/python/ray/train/lightning/lightning_trainer.py | import os
import pytorch_lightning as pl
from copy import copy
from inspect import isclass
from typing import Any, Dict, Optional, Type
from pytorch_lightning.plugins.environments import ClusterEnvironment
from ray.air import session
from ray.air.config import CheckpointConfig, RunConfig, ScalingConfig
from ray.air.c... | 26,124 | 41.001608 | 112 | py |
ray | ray-master/python/ray/train/lightning/_lightning_utils.py | import os
import ray
from ray.air import session
from ray.air.constants import MODEL_KEY
from ray.data.dataset import DataIterator
from ray.train.lightning.lightning_checkpoint import LightningCheckpoint
import logging
import shutil
import torch
import tempfile
from packaging.version import Version
from typing import ... | 10,049 | 35.281588 | 87 | py |
ray | ray-master/python/ray/train/lightning/lightning_predictor.py | import logging
from typing import Optional, Type
from ray.data.preprocessor import Preprocessor
from ray.train.lightning.lightning_checkpoint import LightningCheckpoint
from ray.train.torch.torch_predictor import TorchPredictor
from ray.util.annotations import PublicAPI
import pytorch_lightning as pl
logger = logging... | 5,277 | 36.169014 | 87 | py |
ray | ray-master/python/ray/train/lightning/__init__.py | # isort: off
try:
import pytorch_lightning # noqa: F401
except ModuleNotFoundError:
raise ModuleNotFoundError(
"PyTorch Lightning isn't installed. To install PyTorch Lightning, "
"please run 'pip install pytorch-lightning'"
)
# isort: on
from ray.train.lightning.lightning_checkpoint import... | 638 | 25.625 | 75 | py |
ray | ray-master/python/ray/train/huggingface/accelerate/accelerate_trainer.py | import functools
import os
import tempfile
from pathlib import Path
from typing import TYPE_CHECKING, Callable, Dict, Optional, Type, Tuple, Union
from ray.air import session
from ray.air.checkpoint import Checkpoint
from ray.air.config import RunConfig, ScalingConfig
from ray.train import DataConfig
from ray.train.to... | 16,988 | 40.036232 | 87 | py |
ray | ray-master/python/ray/train/huggingface/transformers/transformers_predictor.py | import logging
from typing import TYPE_CHECKING, List, Optional, Type, Union
import pandas as pd
from ray.air.checkpoint import Checkpoint
from ray.air.constants import TENSOR_COLUMN_NAME
from ray.air.data_batch_type import DataBatchType
from ray.train.predictor import Predictor
from ray.util import log_once
from ray... | 10,901 | 35.831081 | 88 | py |
ray | ray-master/python/ray/train/huggingface/transformers/transformers_trainer.py | import importlib.util
import inspect
import os
import sys
import warnings
from packaging.version import Version
from typing import TYPE_CHECKING, Any, Callable, Dict, Optional, Type
from torch.utils.data import Dataset as TorchDataset
from ray.air import session
from ray.air.checkpoint import Checkpoint
from ray.air.... | 20,649 | 41.753623 | 87 | py |
ray | ray-master/python/ray/train/huggingface/transformers/_transformers_utils.py | import logging
from pathlib import Path
from typing import TYPE_CHECKING, Any, Iterator, Optional, Tuple, Type
import datasets.iterable_dataset
import transformers.trainer
from transformers.trainer_callback import TrainerCallback
from transformers.trainer_utils import IntervalStrategy
from ray.air import session
from... | 8,604 | 38.837963 | 86 | py |
ray | ray-master/python/ray/train/huggingface/transformers/transformers_checkpoint.py | import os
from typing import TYPE_CHECKING, Type, Optional, Union
import torch
from ray.air._internal.checkpointing import save_preprocessor_to_dir
from ray.air._internal.torch_utils import load_torch_model
from ray.air.checkpoint import Checkpoint
from ray.util.annotations import PublicAPI
TRANSFORMERS_IMPORT_ERRO... | 4,191 | 35.137931 | 88 | py |
ray | ray-master/python/ray/train/tensorflow/tensorflow_checkpoint.py | import os
from typing import TYPE_CHECKING, Callable, Optional, Union
from enum import Enum
from os import path
import tensorflow as tf
from tensorflow import keras
import warnings
from ray.air._internal.checkpointing import save_preprocessor_to_dir
from ray.air.checkpoint import Checkpoint
from ray.air.constants imp... | 11,695 | 38.380471 | 87 | py |
ray | ray-master/python/ray/train/tensorflow/tensorflow_trainer.py | from typing import Callable, Optional, Dict, Union, TYPE_CHECKING
from ray.train import DataConfig
from ray.train.tensorflow.config import TensorflowConfig
from ray.train.trainer import GenDataset
from ray.train.data_parallel_trainer import DataParallelTrainer
from ray.air.config import ScalingConfig, RunConfig
from r... | 7,490 | 38.015625 | 86 | py |
ray | ray-master/python/ray/train/tensorflow/tensorflow_predictor.py | import logging
from typing import TYPE_CHECKING, Callable, Dict, Optional, Type, Union
import numpy as np
import tensorflow as tf
from ray.util import log_once
from ray.train.predictor import DataBatchType
from ray.air.checkpoint import Checkpoint
from ray.air._internal.tensorflow_utils import convert_ndarray_batch_t... | 9,924 | 39.345528 | 87 | py |
ray | ray-master/python/ray/air/callbacks/keras.py | from ray.tune._structure_refactor import warn_structure_refactor
from ray.air.integrations.keras import * # noqa: F401, F403
warn_structure_refactor(__name__, "ray.air.integrations.keras")
| 191 | 37.4 | 64 | py |
ray | ray-master/python/ray/air/examples/custom_trainer.py | # flake8: noqa
# TODO(rliaw): Include this in the docs.
# fmt: off
# __custom_trainer_begin__
import torch
from ray.train.trainer import BaseTrainer
from ray.air import session
class MyPytorchTrainer(BaseTrainer):
def setup(self):
self.model = torch.nn.Linear(1, 1)
self.optimizer = torch.optim.S... | 1,689 | 26.704918 | 73 | py |
ray | ray-master/python/ray/air/examples/dreambooth/dataset.py | import pandas as pd
import torch
from ray.data import read_images
from ray.data.preprocessors import TorchVisionPreprocessor
from torchvision import transforms
from transformers import AutoTokenizer
def get_train_dataset(args, image_resolution=512):
"""Build a Dataset for fine-tuning DreamBooth model."""
# L... | 3,720 | 34.103774 | 81 | py |
ray | ray-master/python/ray/air/examples/dreambooth/train.py | import itertools
from diffusers import (
AutoencoderKL,
DDPMScheduler,
DiffusionPipeline,
UNet2DConditionModel,
)
from diffusers.utils.import_utils import is_xformers_available
from ray.air import session, ScalingConfig
from ray.train.torch import TorchTrainer
import torch
import torch.nn.functional as... | 7,278 | 30.786026 | 88 | py |
ray | ray-master/python/ray/air/examples/dreambooth/run_model.py | import hashlib
from os import path
from diffusers import DiffusionPipeline
import torch
from flags import run_model_flags
def run(args):
print(f"Loading model from {args.model_dir}")
pipeline = DiffusionPipeline.from_pretrained(
args.model_dir, torch_dtype=torch.float16
)
pipeline.set_progre... | 966 | 27.441176 | 84 | py |
ray | ray-master/python/ray/air/util/torch_dist.py | """This file is modeled after ray/python/ray/train/torch/config.py
The logics are duplicated right now to allow maximum flexibility for
setting up PyTorch DDP process groups outside the context of Ray Train.
Eventually, these use cases should be consolidated.
"""
from abc import ABC
from collections import defaultdic... | 6,104 | 31.647059 | 87 | py |
ray | ray-master/python/ray/air/tests/test_resource_changing.py | from ray.air import session
from ray.air.checkpoint import Checkpoint
from ray.air.config import FailureConfig, RunConfig, ScalingConfig
from ray.air.constants import TRAIN_DATASET_KEY
from ray.tune.tune_config import TuneConfig
from ray.tune.tuner import Tuner
from ray.train.data_parallel_trainer import DataParallelTr... | 5,079 | 31.987013 | 86 | py |
ray | ray-master/python/ray/air/tests/test_integration_wandb.py | """Tests for wandb integration.
Note: These tests use a set of mocked APIs:
- _MockWandbAPI: Mocks wandb API calls (ex: wandb.init).
- _MockWandbLoggingActor: The same as the regular _WandbLoggingActor,
except using the mocked wandb API
- WandbTestExperimentLogger: Thin subclass of `WandbLoggerCallback` to use for... | 18,040 | 36.274793 | 88 | py |
ray | ray-master/python/ray/air/tests/test_util_torch_dist.py | import numpy as np
import pytest
import torch
import torch.distributed as dist
import ray
from ray.air.util.torch_dist import (
init_torch_dist_process_group,
shutdown_torch_dist_process_group,
TorchDistributedWorker,
)
def test_torch_process_group_gloo():
@ray.remote
class TestWorker(TorchDistri... | 1,939 | 25.944444 | 77 | py |
ray | ray-master/python/ray/air/tests/test_keras_callback.py | from typing import Dict, Tuple
from unittest.mock import patch
import pytest
import numpy as np
import tensorflow as tf
import ray
from ray.air import session
from ray.air.integrations.keras import Callback, ReportCheckpointCallback
from ray.train.constants import TRAIN_DATASET_KEY
from ray.air.config import ScalingC... | 7,913 | 35.302752 | 88 | py |
ray | ray-master/python/ray/air/tests/test_result.py | import os
import pytest
import ray
from ray.air import CheckpointConfig, RunConfig, ScalingConfig, session
from ray.air.constants import EXPR_RESULT_FILE
from ray.air.result import Result
from ray.train.torch import TorchCheckpoint, TorchTrainer
from ray.train.base_trainer import TrainingFailedError
from ray.tune impo... | 4,167 | 31.061538 | 85 | py |
ray | ray-master/python/ray/air/tests/test_checkpoints.py | import logging
import os
import pickle
import re
import shutil
import tempfile
import unittest
from contextlib import contextmanager
from pathlib import Path
from typing import Any
import pytest
import boto3
import ray
from ray.air._internal.remote_storage import _ensure_directory, delete_at_uri
from ray.air._interna... | 34,228 | 35.726395 | 88 | py |
ray | ray-master/python/ray/air/tests/test_data_batch_conversion.py | import pytest
import warnings
import pandas as pd
import numpy as np
import pyarrow as pa
from ray.air._internal.torch_utils import convert_ndarray_to_torch_tensor
from ray.air.constants import TENSOR_COLUMN_NAME
from ray.air.util.data_batch_conversion import (
_convert_batch_type_to_pandas,
_convert_pandas_t... | 11,162 | 36.21 | 88 | py |
ray | ray-master/python/ray/air/_internal/tensorflow_utils.py | from typing import TYPE_CHECKING, Dict, List, Optional, Union, Tuple
import numpy as np
import pyarrow
import tensorflow as tf
from ray.air.util.data_batch_conversion import _unwrap_ndarray_object_type_if_needed
if TYPE_CHECKING:
from ray.data._internal.pandas_block import PandasBlockSchema
def convert_ndarray... | 5,159 | 33.864865 | 86 | py |
ray | ray-master/python/ray/air/_internal/torch_utils.py | import os
import warnings
from typing import Dict, List, Optional, Union, Any
import numpy as np
import pandas as pd
import torch
import ray
from ray.air.util.data_batch_conversion import _unwrap_ndarray_object_type_if_needed
def get_device() -> Union[torch.device, List[torch.device]]:
"""Gets the correct torch... | 13,060 | 37.642012 | 88 | py |
ray | ray-master/python/ray/air/integrations/mlflow.py | import logging
from types import ModuleType
from typing import Dict, Optional, Union
import ray
from ray.air import session
from ray.air._internal.mlflow import _MLflowLoggerUtil
from ray.air._internal import usage as air_usage
from ray.air.constants import TRAINING_ITERATION
from ray.tune.logger import LoggerCallback... | 11,999 | 36.5 | 87 | py |
ray | ray-master/python/ray/air/integrations/keras.py | from typing import Dict, List, Optional, Union
from tensorflow.keras.callbacks import Callback as KerasCallback
from ray.air import session
from ray.train.tensorflow import TensorflowCheckpoint
from ray.util.annotations import PublicAPI, Deprecated
class _Callback(KerasCallback):
"""Base class for Air's Keras c... | 8,255 | 34.74026 | 87 | py |
ray | ray-master/python/ray/tune/tuner.py | import logging
from pathlib import Path
from typing import Any, Callable, Dict, Optional, Type, Union, TYPE_CHECKING
import ray
from ray.air.config import RunConfig
from ray.air._internal.remote_storage import list_at_uri
from ray.air._internal.usage import AirEntrypoint
from ray.air.util.node import _force_on_curren... | 15,731 | 37.370732 | 90 | py |
ray | ray-master/python/ray/tune/examples/mnist_pytorch.py | # Original Code here:
# https://github.com/pytorch/examples/blob/master/mnist/main.py
import os
import argparse
from filelock import FileLock
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
import ray
from ray import air, tune
... | 4,886 | 30.733766 | 81 | py |
ray | ray-master/python/ray/tune/examples/mnist_pytorch_trainable.py | # Original Code here:
# https://github.com/pytorch/examples/blob/master/mnist/main.py
from __future__ import print_function
import argparse
import os
import torch
import torch.optim as optim
import ray
from ray import air, tune
from ray.tune.schedulers import ASHAScheduler
from ray.tune.examples.mnist_pytorch import ... | 3,031 | 31.602151 | 88 | py |
ray | ray-master/python/ray/tune/examples/mlflow_ptl.py | """An example showing how to use Pytorch Lightning training, Ray Tune
HPO, and MLflow autologging all together."""
import os
import tempfile
import pytorch_lightning as pl
import mlflow
from ray import air, tune
from ray.air.integrations.mlflow import setup_mlflow
from ray.tune.integration.pytorch_lightning import T... | 3,157 | 28.792453 | 86 | py |
ray | ray-master/python/ray/tune/examples/xgboost_dynamic_resources_example.py | from typing import Dict, Any, Optional
import sklearn.datasets
import sklearn.metrics
import os
from sklearn.model_selection import train_test_split
import xgboost as xgb
from xgboost.core import Booster
import pickle
import ray
from ray import air, tune
from ray.tune.schedulers import ResourceChangingScheduler, ASHAS... | 10,204 | 33.94863 | 88 | py |
ray | ray-master/python/ray/tune/examples/pbt_convnet_example.py | #!/usr/bin/env python
# flake8: noqa
# fmt: off
# __tutorial_imports_begin__
import argparse
import os
import numpy as np
import torch
import torch.optim as optim
from torchvision import datasets
from ray.tune.examples.mnist_pytorch import train, test, ConvNet,\
get_data_loaders
import ray
from ray import air, t... | 4,558 | 31.105634 | 79 | py |
ray | ray-master/python/ray/tune/examples/pbt_memnn_example.py | """Example training a memory neural net on the bAbI dataset.
References Keras and is based off of https://keras.io/examples/babi_memnn/.
"""
from __future__ import print_function
from tensorflow.keras.models import Sequential, Model, load_model
from tensorflow.keras.layers import Embedding
from tensorflow.keras.laye... | 10,890 | 34.019293 | 96 | py |
ray | ray-master/python/ray/tune/examples/utils.py | import tensorflow as tf
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import OneHotEncoder
def get_iris_data(test_size=0.2):
iris_data = load_iris()
x = iris_data.data
y = iris_data.target.reshape(-1, 1)
encoder = OneHotEncoder(s... | 747 | 33 | 65 | py |
ray | ray-master/python/ray/tune/examples/tf_mnist_example.py | #!/usr/bin/env python
# coding: utf-8
#
# This example showcases how to use TF2.0 APIs with Tune.
# Original code: https://www.tensorflow.org/tutorials/quickstart/advanced
#
# As of 10/12/2019: One caveat of using TF2.0 is that TF AutoGraph
# functionality does not interact nicely with Ray actors. One way to get around... | 4,767 | 32.815603 | 85 | py |
ray | ray-master/python/ray/tune/examples/pbt_convnet_function_example.py | #!/usr/bin/env python
# __tutorial_imports_begin__
import argparse
import os
import numpy as np
import torch
import torch.optim as optim
from ray.tune.examples.mnist_pytorch import train, test, ConvNet, get_data_loaders
from ray import air, tune
from ray.air import session
from ray.air.checkpoint import Checkpoint
fr... | 4,621 | 30.875862 | 88 | py |
ray | ray-master/python/ray/tune/examples/mnist_ptl_mini.py | import math
import os
import torch
from filelock import FileLock
import pytorch_lightning as pl
from torch.nn import functional as F
from torch.utils.data import DataLoader, random_split
from torchmetrics import Accuracy
from torchvision import transforms
from torchvision.datasets import MNIST
from ray.tune.integra... | 5,708 | 31.810345 | 86 | py |
ray | ray-master/python/ray/tune/examples/xgboost_example.py | from typing import Dict, List
import sklearn.datasets
import sklearn.metrics
import os
import numpy as np
from sklearn.model_selection import train_test_split
import xgboost as xgb
import ray
from ray import tune
from ray.tune.schedulers import ASHAScheduler
from ray.tune.integration.xgboost import (
TuneReportChe... | 3,910 | 30.039683 | 85 | py |
ray | ray-master/python/ray/tune/examples/tune_mnist_keras.py | import argparse
import os
from filelock import FileLock
from tensorflow.keras.datasets import mnist
import ray
from ray import air, tune
from ray.tune.schedulers import AsyncHyperBandScheduler
from ray.tune.integration.keras import TuneReportCallback
def train_mnist(config):
# https://github.com/tensorflow/tens... | 2,573 | 27.921348 | 88 | py |
ray | ray-master/python/ray/tune/examples/pbt_tune_cifar10_with_keras.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Train keras CNN on the CIFAR10 small images dataset.
The model comes from: https://zhuanlan.zhihu.com/p/29214791,
and it gets to about 87% validation accuracy in 100 epochs.
Note that the script requires a machine with 4 GPUs. You
can set {"gpu": 0} to use CPUs for tra... | 7,517 | 30.721519 | 87 | py |
ray | ray-master/python/ray/tune/examples/cifar10_pytorch.py | # flake8: noqa
# fmt: off
# __import_begin__
from functools import partial
import numpy as np
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from filelock import FileLock
from torch.utils.data import random_split
import torchvision
import torchvision.transforms... | 8,526 | 32.570866 | 108 | py |
ray | ray-master/python/ray/tune/examples/mnist_pytorch_lightning.py | # flake8: noqa
# fmt: off
# __import_lightning_begin__
import math
import torch
import pytorch_lightning as pl
from filelock import FileLock
from torch.utils.data import DataLoader, random_split
from torch.nn import functional as F
from torchvision.datasets import MNIST
from torchvision import transforms
import os
# ... | 9,915 | 30.884244 | 103 | py |
ray | ray-master/python/ray/tune/examples/pbt_dcgan_mnist/pbt_dcgan_mnist_trainable.py | #!/usr/bin/env python
"""
Example of training DCGAN on MNIST using PBT with Tune's Trainable Class
API.
"""
import ray
from ray import air, tune
from ray.tune.schedulers import PopulationBasedTraining
import argparse
import os
from filelock import FileLock
import random
import torch
import torch.nn as nn
import torch.... | 5,772 | 31.615819 | 86 | py |
ray | ray-master/python/ray/tune/examples/pbt_dcgan_mnist/pbt_dcgan_mnist_func.py | #!/usr/bin/env python
"""
Example of training DCGAN on MNIST using PBT with Tune's function API.
"""
import ray
from ray import air, tune
from ray.air import session
from ray.air.checkpoint import Checkpoint
from ray.tune.schedulers import PopulationBasedTraining
import argparse
import os
from filelock import FileLock... | 5,697 | 29.470588 | 86 | py |
ray | ray-master/python/ray/tune/examples/pbt_dcgan_mnist/common.py | import ray
from ray.air import Checkpoint
import os
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torchvision.utils as vutils
import numpy as np
from torch.autograd import Variable
from torch.n... | 8,119 | 27.292683 | 85 | py |
ray | ray-master/python/ray/tune/tests/test_api.py | import copy
import os
import pickle
import shutil
import sys
import tempfile
import time
import unittest
from collections import Counter
from functools import partial
from unittest.mock import patch
import gym
import numpy as np
import pytest
import ray
from ray import tune
from ray.air import CheckpointConfig, Scalin... | 65,308 | 32.751421 | 103 | py |
ray | ray-master/python/ray/tune/tests/tutorial.py | # flake8: noqa
# Original Code: https://github.com/pytorch/examples/blob/master/mnist/main.py
# fmt: off
# __tutorial_imports_begin__
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
from torchvision import datasets, transforms
from torch.utils.data import DataLoader
import torch.nn.fu... | 5,902 | 26.328704 | 88 | py |
ray | ray-master/python/ray/tune/tests/test_tune_restore.py | # coding: utf-8
import signal
import subprocess
from collections import Counter
import multiprocessing
import os
import pytest
import shutil
import tempfile
import threading
import time
from typing import List
import unittest
from unittest import mock
import ray
from ray import tune
from ray._private.test_utils impor... | 22,920 | 32.122832 | 88 | py |
ray | ray-master/python/ray/tune/tests/test_integration_pytorch_lightning.py | import os
import shutil
import tempfile
import unittest
import pytorch_lightning as pl
from ray.air.config import CheckpointConfig
import torch
from ray.air.constants import TRAINING_ITERATION
from torch.utils.data import DataLoader, Dataset
from ray import tune
from ray.tune.integration.pytorch_lightning import (
... | 4,997 | 28.05814 | 84 | py |
ray | ray-master/python/ray/tune/tests/test_tuner.py | import os
from pathlib import Path
from unittest.mock import patch
import pytest
import shutil
import unittest
from typing import Optional
import ray.air
from sklearn.datasets import load_breast_cancer
from sklearn.utils import shuffle
from ray import tune
from ray.air import session
from ray.air.config import RunCo... | 17,205 | 33.003953 | 88 | py |
ray | ray-master/python/ray/tune/tests/test_syncer.py | import logging
import os
from pathlib import Path
import shutil
import subprocess
import tempfile
import time
from typing import List, Optional
import unittest
from unittest.mock import patch
from freezegun import freeze_time
import numpy as np
import pyarrow.fs
import pytest
import ray
import ray.cloudpickle as pick... | 40,593 | 33.460102 | 88 | py |
ray | ray-master/python/ray/tune/tests/test_client.py | import os
import tempfile
import time
import pytest
import sys
import io
from contextlib import redirect_stdout
import ray
from ray import tune
from ray.air import session, Checkpoint, RunConfig
from ray.tune import Tuner
from ray.tune.progress_reporter import JupyterNotebookReporter
from ray.util.client.ray_client_h... | 5,742 | 29.876344 | 85 | py |
ray | ray-master/python/ray/tune/tests/test_sample.py | """
If you ever run into issues like
https://gist.github.com/xwjiang2010/13e6df091e5938aff5b44769bec8ffb8,
change your pytest running directory to ray/python/ray/tune/tests/
"""
from collections import defaultdict
from unittest.mock import patch
import numpy as np
import unittest
import ray
import ray.tune.search.sa... | 75,453 | 35.17162 | 88 | py |
ray | ray-master/python/ray/tune/integration/xgboost.py | from typing import Callable, Dict, List, Union, Optional
from collections import OrderedDict
from ray import tune
import os
from ray.tune.utils import flatten_dict
from xgboost.core import Booster
try:
from xgboost.callback import TrainingCallback
except ImportError:
class TrainingCallback:
pass
c... | 7,473 | 34.254717 | 86 | py |
ray | ray-master/python/ray/tune/integration/pytorch_lightning.py | import inspect
import logging
from typing import Dict, List, Optional, Type, Union
from pytorch_lightning import Callback, Trainer, LightningModule
from ray import tune
from ray.util import PublicAPI
import os
logger = logging.getLogger(__name__)
# Get all Pytorch Lightning Callback hooks based on whatever PTL vers... | 8,876 | 34.794355 | 88 | py |
ray | ray-master/python/ray/tune/integration/keras.py | import os
from collections import Counter
from typing import Dict, List, Optional, Union
from ray import tune
from ray.util.annotations import Deprecated
from ray.air.integrations.keras import _Callback as TuneCallback
_DEPRECATION_MESSAGE = (
"The `ray.tune.integration.keras` module is deprecated in favor of "
... | 7,547 | 34.43662 | 80 | py |
ray | ray-master/python/ray/tune/search/hebo/hebo_search.py | import logging
import pickle
from typing import Dict, List, Optional, Union
import numpy as np
import pandas as pd
from ray.tune.result import DEFAULT_METRIC
from ray.tune.search.sample import (
Categorical,
Domain,
Float,
Integer,
LogUniform,
Quantized,
Uniform,
)
from ray.tune.search imp... | 16,976 | 35.198294 | 85 | py |
ray | ray-master/python/ray/tune/schedulers/resource_changing_scheduler.py | from copy import deepcopy
import numpy as np
import logging
from typing import Dict, Any, List, Optional, Set, Tuple, Union, Callable
import pickle
import warnings
from ray.air.execution.resources.request import _sum_bundles
from ray.util.annotations import PublicAPI
from ray.tune.execution import trial_runner
from r... | 34,597 | 38.360637 | 88 | py |
ray | ray-master/python/ray/tune/schedulers/pbt.py | import copy
import json
import logging
import math
import os
import random
import shutil
from typing import Callable, Dict, List, Optional, Tuple, Union
from ray.air._internal.checkpoint_manager import CheckpointStorage
from ray.air.constants import TRAINING_ITERATION
from ray.tune.execution import trial_runner
from r... | 45,822 | 40.207734 | 88 | py |
ray | ray-master/python/ray/data/dataset_pipeline.py | import itertools
import logging
import sys
import time
import warnings
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
Iterator,
List,
Optional,
Union,
)
import numpy as np
import ray
from ray.air.util.data_batch_conversion import BlockFormat
from ray.data._inter... | 53,216 | 37.479393 | 88 | py |
ray | ray-master/python/ray/data/read_api.py | import collections
import logging
import math
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Tuple,
TypeVar,
Union,
)
import numpy as np
import ray
from ray._private.auto_init_hook import wrap_auto_init
from ray.air.util.tensor_extensions.utils import _cre... | 93,390 | 39.064779 | 196 | py |
ray | ray-master/python/ray/data/dataset.py | import collections
import copy
import html
import itertools
import logging
import sys
import time
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Generic,
Iterable,
Iterator,
List,
Mapping,
Optional,
Tuple,
Type,
Union,
)
from uuid import uuid4
import numpy ... | 203,670 | 39.988328 | 285 | py |
ray | ray-master/python/ray/data/iterator.py | import abc
import time
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterator,
List,
Optional,
Tuple,
Union,
)
import numpy as np
from ray.data._internal.block_batching import batch_block_refs
from ray.data._internal.block_batching.iter_batches import iter_batches
from r... | 38,080 | 44.280618 | 285 | py |
ray | ray-master/python/ray/data/__init__.py | # Short term workaround for https://github.com/ray-project/ray/issues/32435
# Dataset has a hard dependency on pandas, so it doesn't need to be delayed.
import pandas # noqa
from ray.data._internal.compute import ActorPoolStrategy
from ray.data._internal.execution.interfaces import (
ExecutionOptions,
Executi... | 2,458 | 22.873786 | 88 | py |
ray | ray-master/python/ray/data/preprocessors/torch.py | from typing import TYPE_CHECKING, Callable, Dict, List, Mapping, Optional, Union
import numpy as np
from ray.air.util.data_batch_conversion import BatchFormat
from ray.air.util.tensor_extensions.utils import _create_possibly_ragged_ndarray
from ray.data.preprocessor import Preprocessor
from ray.util.annotations impor... | 5,745 | 37.306667 | 102 | py |
ray | ray-master/python/ray/data/preprocessors/__init__.py | from ray.data.preprocessors.batch_mapper import BatchMapper
from ray.data.preprocessors.chain import Chain
from ray.data.preprocessors.concatenator import Concatenator
from ray.data.preprocessors.discretizer import (
CustomKBinsDiscretizer,
UniformKBinsDiscretizer,
)
from ray.data.preprocessors.encoder import (... | 1,468 | 26.716981 | 80 | py |
ray | ray-master/python/ray/data/tests/test_image.py | import os
from typing import Dict
from unittest.mock import ANY, patch
import numpy as np
import pyarrow as pa
import pytest
from fsspec.implementations.local import LocalFileSystem
import ray
from ray.data.datasource import Partitioning, PathPartitionFilter
from ray.data.datasource.file_meta_provider import FastFile... | 10,399 | 38.393939 | 88 | py |
ray | ray-master/python/ray/data/tests/test_formats.py | import os
from typing import Iterable, List
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
import torchvision
from fsspec.implementations.http import HTTPFileSystem
from fsspec.implementations.local import LocalFileSystem
import ray
from ray._private.test_utils import wait_for_con... | 11,295 | 33.439024 | 87 | py |
ray | ray-master/python/ray/data/tests/test_pipeline.py | import os
import time
from typing import Tuple
import numpy as np
import pandas as pd
import pytest
import ray
from ray.data import dataset
from ray.data.context import OK_PREFIX, WARN_PREFIX, DataContext
from ray.data.dataset import Dataset
from ray.data.dataset_pipeline import DatasetPipeline
from ray.data.tests.ut... | 30,678 | 34.631823 | 88 | py |
ray | ray-master/python/ray/data/tests/test_numpy_support.py | import numpy as np
import pytest
import torch
import ray
from ray.air.util.tensor_extensions.utils import create_ragged_ndarray
from ray.data.tests.conftest import * # noqa
from ray.tests.conftest import * # noqa
class UserObj:
def __eq__(self, other):
return isinstance(other, UserObj)
def do_map_bat... | 5,834 | 32.728324 | 87 | py |
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