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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pytorch | pytorch-main/test/distributed/elastic/utils/data/cycling_iterator_test.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from torch.distributed.elastic.utils.data imp... | 1,479 | 29.833333 | 71 | py |
pytorch | pytorch-main/test/distributed/elastic/agent/server/test/local_elastic_agent_test.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import json
import multiprocessing as mp
import os
import shut... | 47,895 | 36.683714 | 128 | py |
pytorch | pytorch-main/test/distributed/elastic/agent/server/test/api_test.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import signal
import unittest
import uuid
from typing import... | 23,224 | 38.498299 | 88 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/etcd_rendezvous_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
import unittest
import uuid
from torch.distributed.elastic.rendezvous impo... | 2,481 | 29.268293 | 84 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/api_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict, SupportsInt, Tuple, cast
from unittest import TestCase... | 9,979 | 35.15942 | 101 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/c10d_rendezvous_backend_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
import tempfile
from base64 import b64encode
from datetime import timedel... | 10,019 | 37.098859 | 118 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/static_rendezvous_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from contextlib import closing
from torch.distributed.elastic.rendez... | 3,156 | 29.650485 | 72 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/rendezvous_backend_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from abc import ABC, abstractmethod
from typing import Any, Callable, Optional, Tupl... | 3,387 | 30.962264 | 97 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/dynamic_rendezvous_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import copy
import os
import pickle
import socket
import threading
import time
from ... | 48,560 | 31.967413 | 102 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/utils_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import threading
import time
import socket
from datetime import timedelta
from typin... | 13,189 | 32.224181 | 100 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/etcd_rendezvous_backend_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import subprocess
from base64 import b64encode
from typing import ClassVar, cast
fro... | 4,623 | 31.794326 | 115 | py |
pytorch | pytorch-main/test/distributed/elastic/rendezvous/etcd_server_test.py | # Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
import unittest
import etcd
from torch.distributed.elastic.rendezvous.etcd... | 1,704 | 28.396552 | 74 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_deferred_batch_norm.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
from copy import deepcopy
from itertools import chain
... | 5,536 | 26.685 | 85 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_checkpoint.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
from functools import partial
import pytest
import to... | 4,293 | 24.86747 | 114 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_worker.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import threading
import pytest
import torch
from tor... | 3,428 | 28.307692 | 85 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_transparency.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import nn
from torch.distribu... | 1,286 | 24.235294 | 94 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/conftest.py | # Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import tempfile
import pytest
import torch
import torch.distributed as dist
@pytest.fixtu... | 1,450 | 24.017241 | 71 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_pipeline.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
from torch.distributed.pipeline.sync.pipeline import _... | 991 | 25.810811 | 71 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_balance.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import time
import pytest
import torch
from torch imp... | 6,746 | 28.207792 | 101 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_phony.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch.distributed.pipeline.sync.pho... | 1,565 | 26 | 71 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_bugs.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch import nn
import... | 4,481 | 29.910345 | 84 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_dependency.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import weakref
import pytest
import torch
from torch... | 3,196 | 20.032895 | 77 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_stream.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch.distributed.pip... | 6,058 | 29.913265 | 91 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_inplace.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch import nn
from ... | 2,452 | 30.050633 | 85 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_copy.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch.distributed.pip... | 2,309 | 29.394737 | 121 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_pipe.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
from collections import OrderedDict
from copy import d... | 24,011 | 28.035067 | 107 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/test_microbatch.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
import torch.cuda
from tor... | 3,139 | 20.216216 | 84 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_leak.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch import nn
from ... | 4,133 | 29.850746 | 92 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_api.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import copy
from torch import nn
from torch.distribu... | 1,161 | 20.924528 | 76 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_tracker.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
from queue import Queue
import threading
import pytes... | 4,266 | 30.607407 | 116 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_stash_pop.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch import nn
from ... | 3,210 | 21.298611 | 86 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_inspect_skip_layout.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
from torch import nn
from torch.distributed.pipeline.... | 3,140 | 25.394958 | 83 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_gpipe.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch import nn
from ... | 3,792 | 31.698276 | 106 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_portal.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from torch.distributed.pip... | 4,966 | 29.472393 | 74 | py |
pytorch | pytorch-main/test/distributed/pipeline/sync/skip/test_verify_skippables.py | # Owner(s): ["oncall: distributed"]
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import pytest
from torch import nn
from torch.distrib... | 3,823 | 22.9 | 114 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_checkpoint.py | # Owner(s): ["oncall: distributed"]
import sys
from typing import Optional, List, cast
from torch.distributed.checkpoint.storage import WriteResult
from torch.distributed.checkpoint import (
StorageReader,
StorageWriter,
CheckpointException,
load_state_dict,
save_state_dict,
)
import torch
import... | 13,090 | 32.310433 | 122 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_dedup_tensors.py | # Owner(s): ["oncall: distributed"]
import dataclasses
import torch
from torch.distributed.checkpoint._dedup_tensors import dedup_tensors
from torch.distributed.checkpoint.planner import SavePlan, WriteItemType
from torch.distributed.checkpoint.planner_helpers import (
_create_write_item_for_tensor,
)
from torch.t... | 1,525 | 32.173913 | 83 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_dtensor_checkpoint.py | # Owner(s): ["oncall: distributed"]
from typing import Dict, Union
import torch
import torch.distributed as dist
import torch.distributed.checkpoint as dist_cp
from torch.distributed._tensor import (
DeviceMesh,
DTensor,
Replicate,
Shard,
distribute_tensor,
zeros,
)
from torch.testing._internal... | 9,636 | 33.916667 | 103 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_2d_fsdp_dt_checkpoint.py | # Owner(s): ["oncall: distributed"]
import torch
import torch.distributed as dist
import torch.distributed.checkpoint as dist_cp
import torch.distributed.distributed_c10d as distributed_c10d
import torch.nn.functional as F
from torch.distributed._tensor import DeviceMesh, DTensor
from torch.distributed.checkpoint.def... | 7,219 | 30.528384 | 78 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_fsspec.py | # Owner(s): ["oncall: distributed"]
import shutil
import tempfile
from functools import wraps
from typing import Any, Callable, Dict, Optional, Tuple
import torch
import torch.distributed as dist
import torch.distributed.checkpoint as dcp
import torch.nn as nn
from torch.distributed.checkpoint._fsspec_filesystem impo... | 6,088 | 30.225641 | 78 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_fsdp_model_state.py | # Owner(s): ["oncall: distributed"]
import torch
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType
import torch.distributed.checkpoint as dist_cp
import torch.distributed as dist
from torch.distributed.checkpoint.default_p... | 3,308 | 32.424242 | 80 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_file_system_checkpoint_cpu.py | # Owner(s): ["oncall: distributed"]
import sys
import tempfile
from typing import Dict
import torch
import torch.distributed as dist
from torch.distributed._shard import sharded_tensor
from torch.distributed._shard.sharded_tensor import (
ShardedTensor,
state_dict_hook,
)
from torch.distributed._shard.shardin... | 16,750 | 32.43513 | 126 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_planner.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
from torch.distributed.checkpoint.planner import LoadItemType, WriteItemType
from torch.distributed._shard.sharded_tensor import (
Shard,
ShardMetadata,
ShardedTensor,
ShardedTensorMetadata,
)
from torch.distributed._shard.sharded_tensor.met... | 13,932 | 42.540625 | 128 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_file_system_checkpoint.py | # Owner(s): ["oncall: distributed"]
import os
import sys
import shutil
import tempfile
from typing import Dict
import torch
import torch.distributed as dist
from torch.distributed._shard import sharded_tensor
from torch.distributed._shard.sharded_tensor import (
ShardedTensor,
state_dict_hook,
)
from torch.di... | 17,458 | 32.066288 | 126 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_traverse.py | # Owner(s): ["oncall: distributed"]
from collections import OrderedDict
import torch
import torch.distributed.checkpoint._traverse as _traverse
from torch.distributed.checkpoint.metadata import STATE_DICT_TYPE
from torch.testing._internal.common_utils import run_tests, TestCase
# TODO: add comments for TestTraverse... | 5,440 | 29.740113 | 79 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_nested_dict.py | # Owner(s): ["oncall: distributed"]
import torch
from torch.testing._internal.common_utils import run_tests, TestCase
from torch.distributed.checkpoint._nested_dict import (
flatten_state_dict,
unflatten_state_dict,
)
class TestFlattening(TestCase):
def test_flattening_round_trip(self) -> None:
s... | 1,944 | 29.873016 | 109 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_fsdp_optim_state.py | # Owner(s): ["oncall: distributed"]
import torch
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType
import torch.distributed.checkpoint as dist_cp
import torch.distributed as dist
from torch.distributed.checkpoint.default_p... | 3,699 | 33.579439 | 78 | py |
pytorch | pytorch-main/test/distributed/checkpoint/test_utils.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
from torch.distributed._shard.sharded_tensor import (
Shard,
ShardMetadata,
ShardedTensor,
ShardedTensorMetadata,
)
from torch.distributed._shard.sharded_tensor.metadata import TensorProperties
from torch.testing._internal.common_utils impo... | 4,443 | 33.71875 | 110 | py |
pytorch | pytorch-main/test/distributed/_tools/test_memory_tracker.py | # Owner(s): ["oncall: distributed"]
import os
from torch.testing._internal.common_cuda import TEST_CUDA
from torch.testing._internal.common_utils import (
TestCase,
run_tests,
)
import torch
import torch.nn as nn
from torch.distributed._tools import MemoryTracker
import unittest
class TestMemoryTracker(Tes... | 2,446 | 32.067568 | 81 | py |
pytorch | pytorch-main/test/distributed/algorithms/test_join.py | # Owner(s): ["oncall: distributed"]
import contextlib
import os
import sys
from typing import Any, Optional
import torch
import torch.distributed as dist
if not dist.is_available():
print("Distributed not available, skipping tests", file=sys.stderr)
sys.exit(0)
from torch.distributed.algorithms.join import ... | 16,875 | 31.896686 | 94 | py |
pytorch | pytorch-main/test/distributed/algorithms/ddp_comm_hooks/test_ddp_hooks.py | # Owner(s): ["oncall: distributed"]
import os
import sys
import torch
from torch import nn
import torch.distributed as dist
if not dist.is_available():
print("Distributed not available, skipping tests", file=sys.stderr)
sys.exit(0)
from torch.distributed.algorithms.ddp_comm_hooks import (
DDPCommHookTyp... | 7,743 | 30.868313 | 92 | py |
pytorch | pytorch-main/test/distributed/algorithms/quantization/test_quantization.py | # Owner(s): ["oncall: distributed"]
import torch
import os
import torch.cuda
import sys
import torch.distributed as dist
import torch.distributed.algorithms._quantization.quantization as quant
from torch.distributed.algorithms._quantization.quantization import DQuantType
from torch.testing._internal.common_distributed... | 11,580 | 36.11859 | 88 | py |
pytorch | pytorch-main/test/distributed/optim/test_named_optimizer.py | # Owner(s): ["oncall: distributed"]
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import torch
import torch.nn as nn
from torch.distribute... | 14,993 | 34.03271 | 94 | py |
pytorch | pytorch-main/test/distributed/optim/test_zero_redundancy_optimizer.py | # Owner(s): ["oncall: distributed"]
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import copy
import os
import sys
import unittest
from contextlib import nullcontext
... | 53,725 | 36.257975 | 88 | py |
pytorch | pytorch-main/test/distributed/optim/test_apply_optimizer_in_backward.py | # Owner(s): ["oncall: distributed"]
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from copy import deepcopy
import torch
import torch.nn a... | 4,821 | 33.442857 | 84 | py |
pytorch | pytorch-main/test/distributed/tensor/parallel/test_view_sharding_dim_change.py | # Copyright (c) Meta Platforms, Inc. and affiliates
# Owner(s): ["oncall: distributed"]
import torch
from torch.distributed._tensor import DeviceMesh, DTensor, Shard
from torch.distributed.tensor.parallel._view_with_dim_change import (
_view_with_sharding_dim_change,
)
from torch.testing._internal.common_utils imp... | 1,068 | 33.483871 | 80 | py |
pytorch | pytorch-main/test/distributed/tensor/parallel/test_tp_style.py | # Copyright (c) Meta Platforms, Inc. and affiliates
# Owner(s): ["oncall: distributed"]
import torch
import torch.distributed as dist
from torch.distributed._tensor import DeviceMesh, distribute_tensor, Replicate, Shard
from torch.distributed.tensor.parallel.style import (
ColwiseParallel,
make_input_replicate... | 9,122 | 39.189427 | 93 | py |
pytorch | pytorch-main/test/distributed/tensor/parallel/test_tp_examples.py | # Copyright (c) Meta Platforms, Inc. and affiliates
# Owner(s): ["oncall: distributed"]
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.distributed._tensor import DeviceMesh, DTensor, Replicate
from torch.distributed.algorithms._checkpoint.checkpoint_wrapper import (
checkpoint_wrapp... | 15,125 | 35.186603 | 111 | py |
pytorch | pytorch-main/test/distributed/tensor/parallel/test_parallelize_api.py | # Owner(s): ["oncall: distributed"]
from collections import OrderedDict
import torch
from torch.distributed._tensor import DeviceMesh, DTensor, Replicate
from torch.distributed.tensor.parallel._utils import _create_1d_device_mesh
from torch.distributed.tensor.parallel.api import (
_parallelize_linear,
_paralle... | 10,200 | 35.826715 | 87 | py |
pytorch | pytorch-main/test/distributed/tensor/parallel/test_tp_random_state.py | # Owner(s): ["oncall: distributed"]
import torch
import torch.distributed._tensor.random as random
from torch.distributed._tensor import DeviceMesh
from torch.distributed.tensor.parallel.api import parallelize_module
from torch.distributed.tensor.parallel.style import (
ColwiseParallel,
make_input_replicate_1d... | 5,339 | 42.414634 | 101 | py |
pytorch | pytorch-main/test/distributed/tensor/parallel/test_2d_parallel.py | # Owner(s): ["oncall: distributed"]
from typing import Any
import torch
import torch.distributed as dist
import functools
import torch.distributed.distributed_c10d as distributed_c10d
import torch.nn.functional as F
from torch.distributed._shard.sharded_tensor.api import ShardedTensor
from torch.distributed._tensor ... | 9,450 | 33.367273 | 129 | py |
pytorch | pytorch-main/test/distributed/_spmd/test_data_parallel.py | # Owner(s): ["oncall: distributed"]
from copy import deepcopy
import torch
import torch.nn as nn
from torch.distributed._spmd.api import compile
from torch.distributed._spmd.parallel_mode import DataParallel
from torch.distributed._tensor import Replicate
from torch.nn.parallel import DistributedDataParallel as DD... | 8,734 | 31.715356 | 83 | py |
pytorch | pytorch-main/test/distributed/_spmd/test_graph_utils.py | # Owner(s): ["oncall: distributed"]
import os
from torch.distributed._spmd.graph_utils import dump_graphs_to_files
from torch.testing._internal.common_utils import run_tests
from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase
class GraphUtilsTest(DTensorTestBase):
@property
... | 1,297 | 29.904762 | 86 | py |
pytorch | pytorch-main/test/distributed/_spmd/test_transformation.py | # Owner(s): ["oncall: distributed"]
import unittest
from copy import deepcopy
from functools import wraps
from unittest.mock import MagicMock
import torch
import torch.nn as nn
from torch._inductor.utils import has_triton
from torch.distributed._spmd.api import compile
from torch.distributed._spmd.gm_transformation i... | 10,636 | 29.654179 | 88 | py |
pytorch | pytorch-main/test/distributed/_spmd/test_tracing.py | # Owner(s): ["oncall: distributed"]
from copy import deepcopy
from functools import wraps
from typing import Any, List, Type
import torch
import torch.distributed as dist
import torch.fx as fx
import torch.nn as nn
from torch.distributed._spmd.api import compile, COMPILED_OBJECT_KEY, Override
from torch.distributed._... | 32,635 | 32.819689 | 88 | py |
pytorch | pytorch-main/test/distributed/launcher/api_test.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import multiprocessing as mp
import os
import shutil
import si... | 13,520 | 32.8025 | 113 | py |
pytorch | pytorch-main/test/distributed/launcher/run_test.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import multiprocessing as mp
import os
import runpy
import shu... | 21,091 | 34.21202 | 98 | py |
pytorch | pytorch-main/test/distributed/launcher/launch_test.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
import shutil
import tempfile
import unittest
from c... | 2,769 | 30.477273 | 79 | py |
pytorch | pytorch-main/test/distributed/launcher/bin/test_script_is_torchelastic_launched.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
This is a test script that launches as part of the test c... | 1,414 | 30.444444 | 91 | py |
pytorch | pytorch-main/test/distributed/launcher/bin/test_script_init_method.py | #!/usr/bin/env python3
# Owner(s): ["oncall: r2p"]
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import torch
import torch.distribu... | 1,955 | 23.45 | 90 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_exec_order.py | # Owner(s): ["oncall: distributed"]
import sys
import warnings
from contextlib import nullcontext
import torch
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.distributed.fsdp.fully_sharded_data_parallel import ShardingStrategy
from torch.testing._i... | 8,155 | 36.585253 | 87 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_dtensor_state_dict.py | # Owner(s): ["oncall: distributed"]
import io
from copy import deepcopy
import torch
import torch.nn as nn
from torch.distributed._shard.sharded_tensor import ShardedTensor
from torch.distributed._tensor import DTensor
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.distributed.fsdp.ap... | 6,408 | 35.005618 | 92 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_state_dict.py | # Owner(s): ["oncall: distributed"]
import io
import itertools
import sys
from contextlib import nullcontext
from copy import deepcopy
from functools import partial
from typing import Any, Dict
import torch
import torch.nn as nn
from torch import distributed as dist
from torch.distributed._shard.sharded_tensor import... | 45,781 | 39.230228 | 106 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_memory.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
import torch.nn as nn
import torch.optim as optim
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
from torch.testing._internal.c... | 8,731 | 36.157447 | 102 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_checkpoint.py | # Owner(s): ["oncall: distributed"]
import contextlib
import sys
from copy import deepcopy
from functools import partial
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.distributed.algorithms._checkpoint.checkpoint_wrapper import (
checkpoint_wrapper,
offload_wrapper,
)
from tor... | 12,479 | 32.638814 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_uneven.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.nn import Linear
from torch.optim import SGD
from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
from torch.testing._inte... | 2,336 | 32.869565 | 83 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_ignored_modules.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
import torch.distributed.fsdp._traversal_utils as traversal_utils
import torch.nn as nn
from torch import distributed as dist
from torch.distributed._composable import fully_shard
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch... | 17,746 | 37.41342 | 89 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_overlap.py | # Owner(s): ["oncall: distributed"]
import sys
import time
from statistics import mean
from unittest.mock import patch
import torch
import torch.nn as nn
from torch import distributed as dist
from torch.cuda import Event
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.testing._internal.... | 8,959 | 34 | 105 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_fx.py | # Owner(s): ["oncall: distributed"]
import torch
from torch.distributed.fsdp._trace_utils import _ExecOrderTracer
from torch.testing._internal.common_utils import (
instantiate_parametrized_tests,
run_tests,
TestCase,
)
class Model(torch.nn.Module):
def __init__(self) -> None:
super().__init_... | 4,603 | 36.129032 | 86 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_fine_tune.py | # Owner(s): ["oncall: distributed"]
import copy
import sys
from unittest import mock
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.distributed.fsdp.fully_sharded_data_parallel import (
FullyShardedDataParallel as FSDP,
ShardingStrategy,
)
from torch.distributed.fsdp.wrap impor... | 6,600 | 34.875 | 87 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_core.py | # Owner(s): ["oncall: distributed"]
import contextlib
import functools
import itertools
import sys
from typing import Any, Callable, Dict, List, Optional
from unittest import mock
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.distributed.fsdp import CPUOffload, MixedPrecision
from tor... | 18,789 | 35.771037 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_input.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.nn import Linear, Module
from torch.optim import SGD
from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
from torch.testi... | 2,133 | 26.714286 | 87 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_tp_integration.py | # Owner(s): ["oncall: distributed"]
import copy
import sys
from collections import OrderedDict
from typing import Any, Dict, List, Optional, Tuple
import torch
from torch import distributed as dist
from torch.distributed._shard.sharded_tensor.api import ShardedTensor
from torch.distributed._shard.sharding_spec import ... | 13,815 | 37.592179 | 110 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_clip_grad_norm.py | # Owner(s): ["oncall: distributed"]
import itertools
import sys
from typing import Union
import torch
import torch.nn as nn
from torch import distributed as dist
from torch.distributed.fsdp import ShardingStrategy
from torch.distributed.fsdp.fully_sharded_data_parallel import (
CPUOffload,
FullyShardedDataPar... | 12,683 | 35.765217 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_traversal.py | # Owner(s): ["oncall: distributed"]
import sys
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
from torch.testing._internal.common_fsdp import (
CUDAInitMode,
FSDPInitMode,
FSD... | 1,734 | 27.442623 | 83 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_unshard_params.py | # Owner(s): ["oncall: distributed"]
import contextlib
import itertools
import math
import sys
from typing import Any, Dict, List, Optional, Union
import torch
import torch.distributed.fsdp._traversal_utils as traversal_utils
import torch.nn as nn
from torch import distributed as dist
from torch.distributed.fsdp import... | 27,742 | 37.964888 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_hybrid_shard.py | # Owner(s): ["oncall: distributed"]
import contextlib
import sys
from collections import Counter
from enum import auto, Enum
from functools import partial
import torch
import torch.distributed as dist
import torch.distributed.fsdp._traversal_utils as traversal_utils
import torch.nn as nn
from torch.distributed.distr... | 13,925 | 35.84127 | 96 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_comm_hooks.py | # Owner(s): ["oncall: distributed"]
import sys
from typing import Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import distributed as dist
from torch.distributed.algorithms._comm_hooks import default_hooks
from torch.distributed.distributed_c10d import _get_default_group
from ... | 16,876 | 35.68913 | 118 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_use_orig_params.py | # Owner(s): ["oncall: distributed"]
import copy
import functools
import itertools
import os
import sys
import unittest
from typing import Any, Dict, List, Optional, Tuple, Type
import torch
import torch.nn as nn
from torch import distributed as dist
from torch.distributed.fsdp import (
BackwardPrefetch,
CPUOf... | 53,969 | 39.066815 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_distributed_checkpoint.py | # Owner(s): ["oncall: distributed"]
import sys
import tempfile
import torch
from torch import distributed as dist
from torch.distributed.checkpoint import (
FileSystemReader,
FileSystemWriter,
load_state_dict,
save_state_dict,
)
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP, Stat... | 3,165 | 30.979798 | 87 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_freezing_weights.py | # Owner(s): ["oncall: distributed"]
import sys
from enum import Enum
import torch
import torch.nn as nn
import torch.optim as optim
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.nn.parallel import DistributedDataParallel
from torch.testing._intern... | 5,381 | 30.109827 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_pure_fp16.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
import torch.distributed.fsdp._traversal_utils as traversal_utils
from torch import distributed as dist
from torch.distributed.fsdp import (
CPUOffload,
FullyShardedDataParallel as FSDP,
MixedPrecision,
)
from torch.testing._internal.common_distr... | 5,452 | 33.08125 | 84 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_wrap.py | # Owner(s): ["oncall: distributed"]
import functools
import os
import tempfile
import unittest
from enum import auto, Enum
from typing import Callable, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributed.fsdp.fully_sharded_data_parallel import (
BackwardPrefetch,
CP... | 25,739 | 38.059181 | 111 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_shard_utils.py | # Owner(s): ["oncall: distributed"]
import torch
import torch.distributed as dist
from torch.distributed._tensor import DTensor
from torch.distributed._tensor.placement_types import Shard
from torch.distributed.distributed_c10d import _get_default_group
from torch.distributed.fsdp._shard_utils import (
_create_ch... | 3,143 | 31.412371 | 83 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_sharded_grad_scaler.py | # Owner(s): ["oncall: distributed"]
import functools
import itertools
import sys
import unittest
from typing import Optional
import torch
from torch import distributed as dist
from torch.cuda.amp.common import amp_definitely_not_available
from torch.distributed.fsdp import CPUOffload, MixedPrecision
from torch.distri... | 7,807 | 37.087805 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_meta.py | # Owner(s): ["oncall: distributed"]
import itertools
import sys
from typing import Union
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP, MixedPrecision
from torch.distributed.fsdp.wrap import (
always_wrap_policy as always_w... | 14,600 | 33.355294 | 83 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_optim_state.py | # Owner(s): ["oncall: distributed"]
import bisect
import sys
from copy import deepcopy
from enum import auto, Enum
from typing import Any, Callable, Dict, List, Optional, Tuple, Type
import torch
import torch.nn as nn
from torch import distributed as dist
from torch.distributed.algorithms._checkpoint.checkpoint_wrapp... | 76,065 | 38.679708 | 99 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_comm.py | # Owner(s): ["oncall: distributed"]
import sys
from contextlib import nullcontext
from enum import auto, Enum
from typing import Optional
from unittest.mock import patch
import torch
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.distributed.fsdp.f... | 10,719 | 36.222222 | 85 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_flatten_params.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
import torch.nn as nn
from torch import distributed as dist
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.distributed.fsdp.flat_param import (
FlatParamHandle,
FlatParamShardMetadata,
HandleShardingStrategy,
)
fro... | 20,418 | 34.885764 | 88 | py |
pytorch | pytorch-main/test/distributed/fsdp/test_fsdp_apply.py | # Owner(s): ["oncall: distributed"]
import sys
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
from torch.testing._internal.common_fsdp import (
CUDAInitM... | 3,378 | 31.805825 | 87 | py |
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