code stringlengths 3.13k 58.3k | apis list | extract_api stringlengths 499 39.4k |
|---|---|---|
#!/usr/bin/env python3
# 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.
#!/usr/bin/env python3
import abc
import math
from collections import defaultdict, dequ... | [
"torchrec.metrics.metrics_namespace.compose_metric_key"
] | [((943, 965), 'dataclasses.dataclass', 'dataclass', ([], {'frozen': '(True)'}), '(frozen=True)\n', (952, 965), False, 'from dataclasses import dataclass\n'), ((1096, 1120), 'typing.TypeVar', 'TypeVar', (['"""DefaultValueT"""'], {}), "('DefaultValueT')\n", (1103, 1120), False, 'from typing import Any, Callable, cast, De... |
#!/usr/bin/env python3
# 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 copy
import itertools
import logging
from typing import List, Optional, Tuple, It... | [
"torchrec.distributed.utils.append_prefix",
"torchrec.sparse.jagged_tensor.KeyedTensor"
] | [((1068, 1095), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1085, 1095), False, 'import logging\n'), ((3324, 3415), 'torchrec.sparse.jagged_tensor.KeyedTensor', 'KeyedTensor', ([], {'keys': 'self._emb_names', 'values': 'values', 'length_per_key': 'self._lengths_per_emb'}), '(keys=self... |
from typing import (
Iterator,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
)
import io
import torch
import torch.utils.data.datapipes as dp
from torchdata.datapipes.iter import S3FileLister, S3FileLoader
from torchdata.datapipes.utils import StreamWrapper
from torchrec.datasets.utils imp... | [
"torchrec.datasets.utils.ReadLinesFromCSV"
] | [((520, 545), 'torchdata.datapipes.iter.S3FileLister', 'S3FileLister', (['s3_prefixes'], {}), '(s3_prefixes)\n', (532, 545), False, 'from torchdata.datapipes.iter import S3FileLister, S3FileLoader\n'), ((560, 584), 'torchdata.datapipes.iter.S3FileLoader', 'S3FileLoader', (['dp_s3_urls'], {}), '(dp_s3_urls)\n', (572, 58... |
#!/usr/bin/env python3
# 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 copy
from typing import List, Tuple, Optional, Dict, cast
from torchrec.distribu... | [
"torchrec.distributed.planner.types.PlannerError",
"torchrec.distributed.planner.types.Storage"
] | [((2463, 2484), 'torchrec.distributed.planner.types.Storage', 'Storage', ([], {'hbm': '(0)', 'ddr': '(0)'}), '(hbm=0, ddr=0)\n', (2470, 2484), False, 'from torchrec.distributed.planner.types import Partitioner, Topology, ShardingOption, Storage, PartitionByType, PlannerError, DeviceHardware\n'), ((2964, 3033), 'typing.... |
#!/usr/bin/env python3
# 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 typing import List, cast
import torch
from torchrec.distributed.em... | [
"torchrec.modules.embedding_configs.EmbeddingBagConfig",
"torchrec.distributed.planner.proposers.GreedyProposer",
"torchrec.distributed.planner.types.Topology",
"torchrec.distributed.planner.proposers.UniformProposer",
"torchrec.distributed.planner.enumerators.EmbeddingEnumerator",
"torchrec.distributed.e... | [((824, 869), 'torchrec.distributed.planner.types.Topology', 'Topology', ([], {'world_size': '(2)', 'compute_device': '"""cuda"""'}), "(world_size=2, compute_device='cuda')\n", (832, 869), False, 'from torchrec.distributed.planner.types import Topology, ShardingOption\n'), ((896, 934), 'torchrec.distributed.planner.enu... |
#!/usr/bin/env python3
# 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 copy
from functools import reduce
from typing import Tuple, Dict, Optional, List,... | [
"torchrec.distributed.collective_utils.invoke_on_rank_and_broadcast_result",
"torchrec.distributed.planner.storage_reservations.HeuristicalStorageReservation",
"torchrec.distributed.planner.proposers.GreedyProposer",
"torchrec.distributed.planner.stats.EmbeddingStats",
"torchrec.distributed.planner.types.Pl... | [((3958, 3976), 'torchrec.distributed.types.ShardingPlan', 'ShardingPlan', (['plan'], {}), '(plan)\n', (3970, 3976), False, 'from torchrec.distributed.types import ShardingPlan, ShardingPlanner, ModuleSharder, ShardingType, ParameterSharding\n'), ((6132, 6203), 'torchrec.distributed.collective_utils.invoke_on_rank_and_... |
#!/usr/bin/env python3
# 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 os
import time
from typing import Any, Callable, Dict, Iterable, Iterator, List, ... | [
"torchrec.datasets.utils.LoadFiles",
"torchrec.datasets.utils.safe_cast",
"torchrec.datasets.utils.ReadLinesFromCSV"
] | [((1358, 1380), 'torchrec.datasets.utils.safe_cast', 'safe_cast', (['val', 'int', '(0)'], {}), '(val, int, 0)\n', (1367, 1380), False, 'from torchrec.datasets.utils import Batch, LoadFiles, PATH_MANAGER_KEY, ReadLinesFromCSV, safe_cast\n'), ((3250, 3284), 'torch.utils.data.get_worker_info', 'torch.utils.data.get_worker... |
#!/usr/bin/env python3
# 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.
from enum import Enum
from typing import cast, Dict, List, Optional, Tuple, Union
impor... | [
"torchrec.distributed.types.ShardingEnv.from_process_group",
"torchrec.distributed.test_utils.test_model.TestETSharder",
"torchrec.distributed.test_utils.test_model.TestEBCSharder",
"torchrec.distributed.planner.Topology",
"torchrec.distributed.test_utils.test_model.ModelInput.generate",
"torchrec.distrib... | [((2533, 2700), 'torchrec.distributed.test_utils.test_model.ModelInput.generate', 'ModelInput.generate', ([], {'batch_size': 'batch_size', 'world_size': 'world_size', 'num_float_features': 'num_float_features', 'tables': 'tables', 'weighted_tables': '(weighted_tables or [])'}), '(batch_size=batch_size, world_size=world... |
#!/usr/bin/env python3
# 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
from torch.testing import FileCheck # @manual
from torchr... | [
"torchrec.models.dlrm.SparseArch",
"torchrec.modules.embedding_configs.EmbeddingBagConfig",
"torchrec.models.dlrm.DenseArch",
"torchrec.models.dlrm.choose",
"torchrec.models.dlrm.InteractionArch",
"torchrec.models.dlrm.DLRM",
"torchrec.modules.embedding_modules.EmbeddingBagCollection",
"torchrec.fx.sy... | [((715, 735), 'torch.manual_seed', 'torch.manual_seed', (['(0)'], {}), '(0)\n', (732, 735), False, 'import torch\n'), ((772, 869), 'torchrec.modules.embedding_configs.EmbeddingBagConfig', 'EmbeddingBagConfig', ([], {'name': '"""t1"""', 'embedding_dim': 'D', 'num_embeddings': '(10)', 'feature_names': "['f1', 'f3']"}), "... |
#!/usr/bin/env python3
# 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 abc
import copy
import itertools
import logging
from collections import defaultdi... | [
"torchrec.distributed.types.TensorProperties",
"torchrec.distributed.types.Shard",
"torchrec.distributed.types.ShardedTensor._init_from_local_shards_and_global_metadata",
"torchrec.sparse.jagged_tensor.KeyedTensor",
"torchrec.distributed.utils.append_prefix",
"torchrec.distributed.types.ShardMetadata"
] | [((1702, 1729), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1719, 1729), False, 'import logging\n'), ((12915, 12932), 'collections.defaultdict', 'defaultdict', (['list'], {}), '(list)\n', (12926, 12932), False, 'from collections import defaultdict, OrderedDict\n'), ((6487, 6586), 'ite... |
#!/usr/bin/env python3
# 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 List, Optional, Tuple, cast
import torch
import torch.distributed as d... | [
"torchrec.distributed.embedding_types.EmbeddingComputeKernel"
] | [((1944, 2007), 'torch.Size', 'torch.Size', (['[config[0].num_embeddings, config[0].embedding_dim]'], {}), '([config[0].num_embeddings, config[0].embedding_dim])\n', (1954, 2007), False, 'import torch\n'), ((2905, 2953), 'torchrec.distributed.embedding_types.EmbeddingComputeKernel', 'EmbeddingComputeKernel', (['config[... |
#!/usr/bin/env python3
# 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 typing import List, Optional, Tuple
import torch
import torch.fx
fro... | [
"torchrec.sparse.jagged_tensor.JaggedTensor",
"torchrec.sparse.jagged_tensor.KeyedJaggedTensor",
"torchrec.fx.symbolic_trace"
] | [((545, 565), 'torch.fx.wrap', 'torch.fx.wrap', (['"""len"""'], {}), "('len')\n", (558, 565), False, 'import torch\n'), ((2737, 2754), 'torchrec.fx.symbolic_trace', 'symbolic_trace', (['m'], {}), '(m)\n', (2751, 2754), False, 'from torchrec.fx import symbolic_trace\n'), ((2858, 2896), 'torch.tensor', 'torch.tensor', ([... |
#!/usr/bin/env python3
# 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 itertools
import multiprocessing
import os
import unittest
from typing import Cal... | [
"torchrec.distributed.comm_ops.alltoallv",
"torchrec.test_utils.get_free_port"
] | [((1159, 1195), 'multiprocessing.get_context', 'multiprocessing.get_context', (['"""spawn"""'], {}), "('spawn')\n", (1186, 1195), False, 'import multiprocessing\n'), ((1733, 1807), 'torch.distributed.init_process_group', 'dist.init_process_group', ([], {'rank': 'rank', 'world_size': 'world_size', 'backend': 'backend'})... |
#!/usr/bin/env python3
# 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 abc
from typing import TypeVar, Generic, List, Tuple, Optional, Dict, Any
import... | [
"torchrec.distributed.embedding_types.GroupedEmbeddingConfig",
"torchrec.distributed.dist_data.KJTAllToAll",
"torchrec.distributed.dist_data.KJTOneToAll",
"torchrec.distributed.embedding_types.SparseFeatures"
] | [((21641, 21676), 'typing.TypeVar', 'TypeVar', (['"""F"""'], {'bound': 'Multistreamable'}), "('F', bound=Multistreamable)\n", (21648, 21676), False, 'from typing import TypeVar, Generic, List, Tuple, Optional, Dict, Any\n'), ((21681, 21693), 'typing.TypeVar', 'TypeVar', (['"""T"""'], {}), "('T')\n", (21688, 21693), Fal... |
#!/usr/bin/env python3
# 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 Iterator, List, Optional
import torch
from pyre_extensions import none... | [
"torchrec.datasets.utils.Batch"
] | [((3408, 3478), 'torch.randn', 'torch.randn', (['self.batch_size', 'self.num_dense'], {'generator': 'self.generator'}), '(self.batch_size, self.num_dense, generator=self.generator)\n', (3419, 3478), False, 'import torch\n'), ((3569, 3648), 'torch.randint', 'torch.randint', ([], {'low': '(0)', 'high': '(2)', 'size': '(s... |
#!/usr/bin/env python3
# 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 contextlib
import os
import random
import tempfile
from typing import Optional, Lis... | [
"torchrec.datasets.criteo.InMemoryBinaryCriteoIterDataPipe",
"torchrec.datasets.criteo.criteo_terabyte",
"torchrec.datasets.criteo.BinaryCriteoUtils.get_shape_from_npy",
"torchrec.datasets.criteo.BinaryCriteoUtils.load_npy_range",
"torchrec.datasets.criteo.BinaryCriteoUtils.tsv_to_npys",
"torchrec.dataset... | [((9349, 9363), 'random.seed', 'random.seed', (['(0)'], {}), '(0)\n', (9360, 9363), False, 'import random\n'), ((879, 915), 'torchrec.datasets.criteo.criteo_terabyte', 'criteo_terabyte', (['(dataset_pathname,)'], {}), '((dataset_pathname,))\n', (894, 915), False, 'from torchrec.datasets.criteo import criteo_kaggle, cri... |
#!/usr/bin/env python3
# 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 typing import Callable, List, Union
import hypothesis.strategies a... | [
"torchrec.modules.mlp.MLP",
"torchrec.modules.mlp.Perceptron",
"torchrec.fx.symbolic_trace"
] | [((884, 907), 'hypothesis.settings', 'settings', ([], {'deadline': 'None'}), '(deadline=None)\n', (892, 907), False, 'from hypothesis import given, settings\n'), ((2929, 2966), 'torchrec.modules.mlp.Perceptron', 'Perceptron', (['in_features', 'out_features'], {}), '(in_features, out_features)\n', (2939, 2966), False, '... |
#!/usr/bin/env python3
# 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.
from typing import Callable, List, Optional, Any, Dict, Tuple, TypeVar
import torch
imp... | [
"torchrec.distributed.embedding_types.EmbeddingComputeKernel",
"torchrec.distributed.embedding_sharding.SparseFeaturesAllToAll",
"torchrec.distributed.embedding_lookup.GroupedPooledEmbeddingsLookup",
"torchrec.distributed.embedding_sharding.SparseFeaturesOneToAll",
"torchrec.distributed.embedding_sharding.g... | [((1300, 1335), 'typing.TypeVar', 'TypeVar', (['"""F"""'], {'bound': 'Multistreamable'}), "('F', bound=Multistreamable)\n", (1307, 1335), False, 'from typing import Callable, List, Optional, Any, Dict, Tuple, TypeVar\n'), ((1340, 1352), 'typing.TypeVar', 'TypeVar', (['"""T"""'], {}), "('T')\n", (1347, 1352), False, 'fr... |
#!/usr/bin/env python3
# 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 typing import cast, List, Optional
from unittest.mock import MagicM... | [
"torchrec.distributed.planner.proposers.GridSearchProposer",
"torchrec.modules.embedding_configs.EmbeddingBagConfig",
"torchrec.distributed.planner.proposers.GreedyProposer",
"torchrec.distributed.planner.proposers.proposers_to_proposals_list",
"torchrec.distributed.planner.types.Topology",
"torchrec.dist... | [((1404, 1449), 'torchrec.distributed.planner.types.Topology', 'Topology', ([], {'world_size': '(2)', 'compute_device': '"""cuda"""'}), "(world_size=2, compute_device='cuda')\n", (1412, 1449), False, 'from torchrec.distributed.planner.types import Proposer, ShardingOption, Topology\n'), ((1476, 1514), 'torchrec.distrib... |
#!/usr/bin/env python3
# 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 copy
import logging
from typing import Any, Dict, Iterator, List, Optional, Tuple... | [
"torchrec.distributed.utils.append_prefix",
"torchrec.modules.embedding_configs.data_type_to_sparse_type",
"torchrec.distributed.embedding_types.compute_kernel_to_embedding_location"
] | [((1191, 1218), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1208, 1218), False, 'import logging\n'), ((1501, 1524), 'copy.deepcopy', 'copy.deepcopy', (['original'], {}), '(original)\n', (1514, 1524), False, 'import copy\n'), ((1686, 1757), 'fbgemm_gpu.split_table_batched_embeddings_op... |
#!/usr/bin/env python3
# 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 os
import click
import dataloader as torcharrow_dataloader
import torch
import t... | [
"torchrec.modules.embedding_configs.EmbeddingBagConfig",
"torchrec.distributed.embeddingbag.EmbeddingBagCollectionSharder"
] | [((910, 925), 'click.command', 'click.command', ([], {}), '()\n', (923, 925), False, 'import click\n'), ((927, 968), 'click.option', 'click.option', (['"""--batch_size"""'], {'default': '(256)'}), "('--batch_size', default=256)\n", (939, 968), False, 'import click\n'), ((970, 1016), 'click.option', 'click.option', (['"... |
#!/usr/bin/env python3
# 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 abc
import os
import random
import tempfile
import uuid
from typing import Callab... | [
"torchrec.metrics.model_utils.parse_task_model_outputs",
"torchrec.metrics.rec_metric.RecTaskInfo"
] | [((1459, 1501), 'torch.rand', 'torch.rand', (['batch_size'], {'dtype': 'torch.double'}), '(batch_size, dtype=torch.double)\n', (1469, 1501), False, 'import torch\n'), ((1592, 1634), 'torch.rand', 'torch.rand', (['batch_size'], {'dtype': 'torch.double'}), '(batch_size, dtype=torch.double)\n', (1602, 1634), False, 'impor... |
#!/usr/bin/env python3
# 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.
#!/usr/bin/env python3
# from pathlib import Path
import argparse
import os
import sys... | [
"torchrec.distributed.embedding.EmbeddingCollectionSharder",
"torchrec.sparse.jagged_tensor.KeyedJaggedTensor.from_lengths_sync",
"torchrec.optim.keyed.CombinedOptimizer"
] | [((2203, 2266), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""torchrec + lightning app"""'}), "(description='torchrec + lightning app')\n", (2226, 2266), False, 'import argparse\n'), ((6087, 6114), 'torch.cat', 'torch.cat', (['seqs_list'], {'dim': '(0)'}), '(seqs_list, dim=0)\n', (6096,... |
#!/usr/bin/env python3
# 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 typing import List, Optional, Type
import torch
from fbgemm_gpu.s... | [
"torchrec.distributed.test_utils.test_model_parallel.create_test_sharder"
] | [((1945, 2013), 'hypothesis.settings', 'settings', ([], {'verbosity': 'Verbosity.verbose', 'max_examples': '(4)', 'deadline': 'None'}), '(verbosity=Verbosity.verbose, max_examples=4, deadline=None)\n', (1953, 2013), False, 'from hypothesis import Verbosity, settings, given, strategies as st\n'), ((1365, 1390), 'torch.c... |
#!/usr/bin/env python3
# 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 typing import List, cast
from torchrec.distributed.embeddingbag impo... | [
"torchrec.distributed.planner.enumerators.EmbeddingEnumerator",
"torchrec.modules.embedding_configs.EmbeddingBagConfig",
"torchrec.distributed.planner.types.Topology",
"torchrec.distributed.planner.proposers.GreedyProposer",
"torchrec.distributed.tests.test_model.TestSparseNN",
"torchrec.distributed.embed... | [((797, 842), 'torchrec.distributed.planner.types.Topology', 'Topology', ([], {'world_size': '(2)', 'compute_device': '"""cuda"""'}), "(world_size=2, compute_device='cuda')\n", (805, 842), False, 'from torchrec.distributed.planner.types import Topology, ShardingOption\n'), ((869, 907), 'torchrec.distributed.planner.enu... |
#!/usr/bin/env python3
# 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 os
import unittest
from typing import Dict, List, Type
import torch
import torch... | [
"torchrec.metrics.tests.test_utils.rec_metric_value_test_launcher",
"torchrec.metrics.tests.test_utils.rec_metric_value_test_helper"
] | [((823, 855), 'torch.sum', 'torch.sum', (['(predictions * weights)'], {}), '(predictions * weights)\n', (832, 855), False, 'import torch\n'), ((884, 911), 'torch.sum', 'torch.sum', (['(labels * weights)'], {}), '(labels * weights)\n', (893, 911), False, 'import torch\n'), ((1912, 1985), 'torch.distributed.init_process_... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
#!/usr/bin/env python3
from functools import partial
from typing import (
Any,
Iterable,
List,
Mapping,
Optional... | [
"torchrec.datasets.utils.rand_split_train_val",
"torchrec.datasets.utils.Batch",
"torchrec.datasets.criteo.criteo_kaggle",
"torchrec.datasets.criteo.criteo_terabyte"
] | [((1406, 1432), 'torch.cat', 'torch.cat', (['cat_list'], {'dim': '(1)'}), '(cat_list, dim=1)\n', (1415, 1432), False, 'import torch\n'), ((2357, 2445), 'torchrec.datasets.utils.Batch', 'Batch', ([], {'dense_features': 'dense_features', 'sparse_features': 'sparse_features', 'labels': 'labels'}), '(dense_features=dense_f... |
#!/usr/bin/env python3
# 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
import torch
from torchrec.fx import Tracer
from torchrec.modules.deepfm ... | [
"torchrec.fx.Tracer",
"torchrec.modules.deepfm.DeepFM",
"torchrec.modules.deepfm.FactorizationMachine"
] | [((5139, 5154), 'unittest.main', 'unittest.main', ([], {}), '()\n', (5152, 5154), False, 'import unittest\n'), ((1157, 1190), 'torchrec.modules.deepfm.DeepFM', 'DeepFM', ([], {'dense_module': 'dense_module'}), '(dense_module=dense_module)\n', (1163, 1190), False, 'from torchrec.modules.deepfm import DeepFM, Factorizati... |
#!/usr/bin/env python3
# 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 copy
from collections import OrderedDict
from dataclasses import dataclass
from ... | [
"torchrec.distributed.sharding.dp_sequence_sharding.DpSequenceEmbeddingSharding",
"torchrec.sparse.jagged_tensor.JaggedTensor",
"torchrec.distributed.utils.append_prefix",
"torchrec.distributed.sharding.tw_sequence_sharding.TwSequenceEmbeddingSharding",
"torchrec.distributed.embedding_sharding.SparseFeature... | [((1958, 2027), 'torch.ops.load_library', 'torch.ops.load_library', (['"""//deeplearning/fbgemm/fbgemm_gpu:sparse_ops"""'], {}), "('//deeplearning/fbgemm/fbgemm_gpu:sparse_ops')\n", (1980, 2027), False, 'import torch\n'), ((2032, 2105), 'torch.ops.load_library', 'torch.ops.load_library', (['"""//deeplearning/fbgemm/fbg... |
#!/usr/bin/env python3
# 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 typing import List
import torch
from torchrec.sparse.jagged_tensor ... | [
"torchrec.sparse.jagged_tensor.KeyedJaggedTensor.from_offsets_sync",
"torchrec.sparse.jagged_tensor.KeyedJaggedTensor",
"torchrec.sparse.jagged_tensor.KeyedJaggedTensor.from_lengths_sync",
"torchrec.sparse.jagged_tensor.KeyedTensor.from_tensor_list",
"torchrec.sparse.jagged_tensor.JaggedTensor",
"torchrec... | [((498, 588), 'torch.Tensor', 'torch.Tensor', (['[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, 11.0, 12.0]]'], {}), '([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0], [10.0, \n 11.0, 12.0]])\n', (510, 588), False, 'import torch\n'), ((1507, 1561), 'torch.Tensor', 'torch.Tensor', (['[1.0, 2.0, 3.0, 4.... |
#!/usr/bin/env python3
# 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.
from typing import List
import torch
from torch import nn
from torchrec import Embeddin... | [
"torchrec.modules.deepfm.FactorizationMachine"
] | [((5018, 5040), 'torchrec.modules.deepfm.FactorizationMachine', 'FactorizationMachine', ([], {}), '()\n', (5038, 5040), False, 'from torchrec.modules.deepfm import DeepFM, FactorizationMachine\n'), ((5848, 5916), 'torch.cat', 'torch.cat', (['[dense_features, deep_interaction, fm_interaction]'], {'dim': '(1)'}), '([dens... |
#!/usr/bin/env python3
# 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 typing import cast, List
import torch
from torchrec.distributed.em... | [
"torchrec.distributed.planner.shard_estimators._calculate_tw_shard_io_sizes",
"torchrec.distributed.planner.types.ParameterConstraints",
"torchrec.distributed.test_utils.test_model.TestTowerCollectionSparseNN",
"torchrec.distributed.planner.types.Storage",
"torchrec.distributed.test_utils.test_model.TestSpa... | [((2002, 2027), 'torchrec.distributed.planner.types.Storage', 'Storage', ([], {'hbm': '(84488)', 'ddr': '(0)'}), '(hbm=84488, ddr=0)\n', (2009, 2027), False, 'from torchrec.distributed.planner.types import ParameterConstraints, Storage, Topology\n'), ((2037, 2062), 'torchrec.distributed.planner.types.Storage', 'Storage... |
#!/usr/bin/env python3
# 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
from torch.testing import FileCheck # @manual
from torchr... | [
"torchrec.models.deepfm.FMInteractionArch",
"torchrec.fx.symbolic_trace",
"torchrec.models.deepfm.SimpleDeepFMNN",
"torchrec.fx.Tracer",
"torchrec.modules.embedding_modules.EmbeddingBagCollection",
"torchrec.modules.embedding_configs.EmbeddingBagConfig"
] | [((5930, 5945), 'unittest.main', 'unittest.main', ([], {}), '()\n', (5943, 5945), False, 'import unittest\n'), ((780, 800), 'torch.manual_seed', 'torch.manual_seed', (['(0)'], {}), '(0)\n', (797, 800), False, 'import torch\n'), ((920, 938), 'torch.rand', 'torch.rand', (['(B, D)'], {}), '((B, D))\n', (930, 938), False, ... |
#!/usr/bin/env python3
# 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 logging
from dataclasses import dataclass
from typing import List, Dict, Optional... | [
"torchrec.inference.modules.quantize_embeddings",
"torchrec.inference.model_packager.load_pickle_config",
"torchrec.distributed.ShardingEnv.from_local",
"torchrec.models.dlrm.DLRM",
"torchrec.sparse.jagged_tensor.KeyedJaggedTensor",
"torchrec.modules.embedding_configs.EmbeddingBagConfig"
] | [((937, 964), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (954, 964), False, 'import logging\n'), ((2366, 2586), 'torchrec.models.dlrm.DLRM', 'DLRM', ([], {'embedding_bag_collection': 'embedding_bag_collection', 'dense_in_features': 'dense_in_features', 'dense_arch_layer_sizes': 'dense... |
#!/usr/bin/env python3
# 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 math
from typing import Dict, Optional, Tuple, List
import torch
from torch impo... | [
"torchrec.distributed.planner.constants.kernel_bw_lookup",
"torchrec.distributed.planner.types.PlannerError",
"torchrec.distributed.planner.types.Storage"
] | [((5013, 5076), 'torchrec.distributed.planner.constants.kernel_bw_lookup', 'kernel_bw_lookup', (['compute_device', 'compute_kernel', 'caching_ratio'], {}), '(compute_device, compute_kernel, caching_ratio)\n', (5029, 5076), False, 'from torchrec.distributed.planner.constants import BIGINT_DTYPE, INTRA_NODE_BANDWIDTH, CR... |
#!/usr/bin/env python3
# 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.
# pyre-ignore-all-errors[56]
import unittest
from unittest.mock import Mock, patch
fro... | [
"torchrec.metrics.throughput.ThroughputMetric"
] | [((567, 609), 'unittest.mock.patch', 'patch', (["(THROUGHPUT_PATH + '.time.monotonic')"], {}), "(THROUGHPUT_PATH + '.time.monotonic')\n", (572, 609), False, 'from unittest.mock import Mock, patch\n'), ((971, 1013), 'unittest.mock.patch', 'patch', (["(THROUGHPUT_PATH + '.time.monotonic')"], {}), "(THROUGHPUT_PATH + '.ti... |
#!/usr/bin/env python3
# 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.
from collections import OrderedDict
from typing import Any, Dict, List, Optional, Tuple... | [
"torchrec.distributed.sharding.sequence_sharding.SequenceShardingContext",
"torchrec.distributed.embedding_types.SparseFeatures",
"torchrec.distributed.sharding.tw_sequence_sharding.InferTwSequenceEmbeddingSharding",
"torchrec.distributed.embedding_sharding.ListOfSparseFeaturesListAwaitable",
"torchrec.dist... | [((1527, 1596), 'torch.ops.load_library', 'torch.ops.load_library', (['"""//deeplearning/fbgemm/fbgemm_gpu:sparse_ops"""'], {}), "('//deeplearning/fbgemm/fbgemm_gpu:sparse_ops')\n", (1549, 1596), False, 'import torch\n'), ((1601, 1674), 'torch.ops.load_library', 'torch.ops.load_library', (['"""//deeplearning/fbgemm/fbg... |
#!/usr/bin/env python3
# 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 typing import cast
import torch
from torchrec.distributed.embeddin... | [
"torchrec.distributed.test_utils.test_model.TestSparseNN",
"torchrec.distributed.planner.shard_estimators.EmbeddingPerfEstimator",
"torchrec.distributed.embeddingbag.EmbeddingBagCollectionSharder",
"torchrec.distributed.planner.enumerators.EmbeddingEnumerator",
"torchrec.modules.embedding_configs.EmbeddingB... | [((871, 916), 'torchrec.distributed.planner.types.Topology', 'Topology', ([], {'world_size': '(2)', 'compute_device': '"""cuda"""'}), "(world_size=2, compute_device='cuda')\n", (879, 916), False, 'from torchrec.distributed.planner.types import Topology\n'), ((942, 983), 'torchrec.distributed.planner.shard_estimators.Em... |
#!/usr/bin/env python3
# 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 io
import os
import unittest
from typing import Dict, Any, List
import torch
imp... | [
"torchrec.optim.keyed.KeyedOptimizer",
"torchrec.optim.keyed.OptimizerWrapper",
"torchrec.test_utils.get_free_port",
"torchrec.optim.keyed.CombinedOptimizer"
] | [((977, 1082), 'torch.testing.assert_close', 'torch.testing.assert_close', (["dict1['state']['param_1']['tensor']", "dict2['state']['param_1']['tensor']"], {}), "(dict1['state']['param_1']['tensor'], dict2[\n 'state']['param_1']['tensor'])\n", (1003, 1082), False, 'import torch\n'), ((1487, 1540), 'torch.distributed... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
#!/usr/bin/env python3
import copy
import os
import tempfile
import unittest
import uuid
from typing import List
import pytorch_lig... | [
"torchrec.modules.embedding_configs.EmbeddingBagConfig"
] | [((1494, 1616), 'torchrec.modules.embedding_configs.EmbeddingBagConfig', 'EmbeddingBagConfig', ([], {'name': '"""t1"""', 'embedding_dim': 'embedding_dim', 'num_embeddings': 'num_embeddings', 'feature_names': "['f1', 'f3']"}), "(name='t1', embedding_dim=embedding_dim, num_embeddings=\n num_embeddings, feature_names=[... |
#!/usr/bin/env python3
# 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 os
import unittest
from functools import partial, update_wrapper
from typing impo... | [
"torchrec.metrics.ne.compute_cross_entropy",
"torchrec.metrics.tests.test_utils.rec_metric_value_test_helper",
"torchrec.metrics.ne.compute_ne",
"torchrec.metrics.tests.test_utils.rec_metric_value_test_launcher"
] | [((3681, 3729), 'functools.partial', 'partial', (['_test_ne.__func__'], {'batch_window_size': '(10)'}), '(_test_ne.__func__, batch_window_size=10)\n', (3688, 3729), False, 'from functools import partial, update_wrapper\n'), ((3823, 3884), 'functools.update_wrapper', 'update_wrapper', (['_test_ne_large_window_size', '_t... |
#!/usr/bin/env python3
# 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 random
import unittest
from typing import Any, Iterator, List, Tuple
from unittes... | [
"torchrec.datasets.utils.ParallelReadConcat",
"torchrec.datasets.utils.idx_split_train_val",
"torchrec.datasets.utils.rand_split_train_val"
] | [((1130, 1164), 'torchrec.datasets.utils.idx_split_train_val', 'idx_split_train_val', (['datapipe', '(0.5)'], {}), '(datapipe, 0.5)\n', (1149, 1164), False, 'from torchrec.datasets.utils import idx_split_train_val, rand_split_train_val, ParallelReadConcat\n'), ((1407, 1441), 'torchrec.datasets.utils.idx_split_train_val... |
#!/usr/bin/env python3
# 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 os
import unittest
from collections import OrderedDict
from typing import List, T... | [
"torchrec.distributed.test_utils.test_model.TestSparseNN",
"torchrec.test_utils.get_free_port",
"torchrec.distributed.test_utils.test_model.ModelInput.generate",
"torchrec.distributed.model_parallel.get_default_sharders",
"torchrec.distributed.embeddingbag.EmbeddingBagCollectionSharder",
"torchrec.modules... | [((2376, 2444), 'hypothesis.settings', 'settings', ([], {'verbosity': 'Verbosity.verbose', 'max_examples': '(8)', 'deadline': 'None'}), '(verbosity=Verbosity.verbose, max_examples=8, deadline=None)\n', (2384, 2444), False, 'from hypothesis import Verbosity, given, settings\n'), ((3479, 3547), 'hypothesis.settings', 'se... |
#!/usr/bin/env python3
# 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 typing import cast, List
from unittest.mock import MagicMock
impor... | [
"torchrec.distributed.planner.proposers.GreedyProposer",
"torchrec.distributed.embeddingbag.EmbeddingBagCollectionSharder",
"torchrec.distributed.planner.enumerators.EmbeddingEnumerator",
"torchrec.distributed.planner.proposers.GridSearchProposer",
"torchrec.distributed.planner.proposers.UniformProposer",
... | [((960, 1005), 'torchrec.distributed.planner.types.Topology', 'Topology', ([], {'world_size': '(2)', 'compute_device': '"""cuda"""'}), "(world_size=2, compute_device='cuda')\n", (968, 1005), False, 'from torchrec.distributed.planner.types import ShardingOption, Topology\n'), ((1032, 1070), 'torchrec.distributed.planner... |
#!/usr/bin/env python3
# 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 torchrec.distributed.embeddingbag import (
EmbeddingBagCollect... | [
"torchrec.distributed.planner.shard_estimators.EmbeddingPerfEstimator",
"torchrec.distributed.embeddingbag.EmbeddingBagCollectionSharder",
"torchrec.distributed.planner.enumerators.EmbeddingEnumerator",
"torchrec.distributed.tests.test_model.TestSparseNN",
"torchrec.modules.embedding_configs.EmbeddingBagCon... | [((776, 821), 'torchrec.distributed.planner.types.Topology', 'Topology', ([], {'world_size': '(2)', 'compute_device': '"""cuda"""'}), "(world_size=2, compute_device='cuda')\n", (784, 821), False, 'from torchrec.distributed.planner.types import Topology\n'), ((847, 888), 'torchrec.distributed.planner.shard_estimators.Em... |
#!/usr/bin/env python3
# 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 math
from typing import cast, Dict, List, Optional, Tuple
import torch
from torc... | [
"torchrec.distributed.planner.types.PlannerError",
"torchrec.distributed.planner.types.Storage",
"torchrec.distributed.planner.utils.prod",
"torchrec.distributed.planner.constants.kernel_bw_lookup"
] | [((6323, 6386), 'torchrec.distributed.planner.constants.kernel_bw_lookup', 'kernel_bw_lookup', (['compute_device', 'compute_kernel', 'caching_ratio'], {}), '(compute_device, compute_kernel, caching_ratio)\n', (6339, 6386), False, 'from torchrec.distributed.planner.constants import BATCHED_COPY_PERF_FACTOR, BIGINT_DTYPE... |
#!/usr/bin/env python3
# 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 os
from typing import Any, Callable, Dict, List, Optional, Union
from torch.util... | [
"torchrec.datasets.utils.safe_cast",
"torchrec.datasets.utils.ReadLinesFromCSV",
"torchrec.datasets.utils.LoadFiles"
] | [((1402, 1437), 'os.path.join', 'os.path.join', (['root', 'MOVIES_FILENAME'], {}), '(root, MOVIES_FILENAME)\n', (1414, 1437), False, 'import os\n'), ((1460, 1495), 'torchrec.datasets.utils.LoadFiles', 'LoadFiles', (['(movies_path,)'], {'mode': '"""r"""'}), "((movies_path,), mode='r')\n", (1469, 1495), False, 'from torc... |
#!/usr/bin/env python3
# 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 argparse
import os
from typing import List
from torch import distributed as dist... | [
"torchrec.datasets.criteo.InMemoryBinaryCriteoIterDataPipe"
] | [((2147, 2192), 'os.listdir', 'os.listdir', (['args.in_memory_binary_criteo_path'], {}), '(args.in_memory_binary_criteo_path)\n', (2157, 2192), False, 'import os\n'), ((2439, 2454), 'torch.distributed.get_rank', 'dist.get_rank', ([], {}), '()\n', (2452, 2454), True, 'from torch import distributed as dist\n'), ((2476, 2... |
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