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nni
nni-master/nni/experiment/config/training_services/k8s_storage.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Storage config classes for ``KubeflowConfig`` and ``FrameworkControllerConfig`` """ __all__ = ['K8sStorageConfig', 'K8sAzureStorageConfig', 'K8sNfsConfig'] from dataclasses import dataclass from typing import Optional from typing_extension...
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nni
nni-master/nni/experiment/config/training_services/kubeflow.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Configuration for Kubeflow training service. Check the reference_ for explaination of each field. You may also want to check `Kubeflow training service doc`_. .. _reference: https://nni.readthedocs.io/en/stable/reference/experiment_config....
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nni
nni-master/nni/experiment/config/training_services/local.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Configuration for local training service. Check the reference_ for explaination of each field. You may also want to check `local training service doc`_. .. _reference: https://nni.readthedocs.io/en/stable/reference/experiment_config.html ...
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nni
nni-master/nni/experiment/config/training_services/openpai.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Configuration for OpenPAI training service. Check the reference_ for explaination of each field. You may also want to check `OpenPAI training service doc`_. .. _reference: https://nni.readthedocs.io/en/stable/reference/experiment_config.ht...
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nni
nni-master/nni/experiment/config/training_services/remote.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Configuration for remote training service. Check the reference_ for explaination of each field. You may also want to check `remote training service doc`_. .. _reference: https://nni.readthedocs.io/en/stable/reference/experiment_config.html...
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nni
nni-master/nni/experiment/config/utils/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Utility functions for experiment config classes. Check "public.py" to see which functions you can utilize. """ from .public import * from .internal import *
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nni
nni-master/nni/experiment/config/utils/internal.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Utility functions for experiment config classes, internal part. If you are implementing a config class for a training service, it's unlikely you will need these. """ from __future__ import annotations __all__ = [ 'get_base_path', 'set_...
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nni
nni-master/nni/experiment/config/utils/public.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Utility functions for experiment config classes. """ import dataclasses import math from pathlib import Path from typing import Union __all__ = [ 'PathLike', 'is_missing', 'canonical_gpu_indices', 'validate_gpu_indices', 'parse_...
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nni
nni-master/nni/feature_engineering/__init__.py
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nni
nni-master/nni/feature_engineering/feature_selector.py
# Copyright (c) Microsoft Corporation. All rights reserved. # # MIT License # # Permission is hereby granted, free of charge, to any person obtaining a copy of this software and # associated documentation files (the "Software"), to deal in the Software without restriction, # including without limitation the rights to u...
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nni
nni-master/nni/mutable/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .annotation import * from .container import * from .exception import * from .frozen import * from .mutable import * from .utils import *
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nni
nni-master/nni/mutable/_notimplemented.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """Several planned features that are under discussion / not implemented yet.""" from __future__ import annotations from .annotation import MutableAnnotation from .mutable import LabeledMutable, MutableSymbol, Categorical, Numerical def randin...
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nni
nni-master/nni/mutable/annotation.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = [ 'MutableAnnotation', 'Constraint', 'ExpressionConstraint', ] import logging from typing import Iterable, Callable from numpy.random import RandomState from .exception import ConstraintViolati...
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nni
nni-master/nni/mutable/container.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = [ 'MutableList', 'MutableDict' ] from typing import Any, Iterable, Iterator, Mapping, Callable, Sequence from .exception import SampleValidationError from .mutable import Mutable, Sample, Labele...
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nni
nni-master/nni/mutable/exception.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['ConstraintViolation', 'SampleValidationError', 'SampleMissingError'] from typing import overload class SampleValidationError(ValueError): """Exception raised when a sample is invalid.""" ...
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nni
nni-master/nni/mutable/frozen.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations """Utilities to freeze mutables upon its creation (either before or after), such that when a proper context is provided, the mutables should look exactly the same as its frozen version. """ __all__ = [ 'en...
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nni
nni-master/nni/mutable/mutable.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = [ 'Mutable', 'LabeledMutable', 'MutableSymbol', 'MutableExpression', 'Sample', 'Categorical', 'CategoricalMultiple', 'Numerical', ] import copy import itertools import logging from collection...
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nni
nni-master/nni/mutable/shortcut.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """High-level API for mutables.""" from __future__ import annotations __all__ = [ 'choice', 'uniform', 'quniform', 'loguniform', 'qloguniform', 'normal', 'qnormal', ] import logging from typing import TYPE_CHECKING, TypeVar, overload, ...
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nni
nni-master/nni/mutable/symbol.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Infrastructure for symbolic execution. Symbolic execution is a technique for executing programs on symbolic inputs. It supports arithmetic operations and comparisons on abstract symbols, and can be used to represent symbolic expressions for ...
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nni
nni-master/nni/mutable/utils.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = [ 'uid', 'reset_uid', 'NoContextError', 'ContextStack', 'get_current_context', 'label_scope', 'auto_label', ] import logging from collections import defaultdict from typing import Any, Li...
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nni
nni-master/nni/nas/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .utils import *
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nni
nni-master/nni/nas/benchmark/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. try: import peewee except ImportError: import warnings warnings.warn('peewee is not installed. Please install it to use NAS benchmarks.') del peewee from .evaluator import * from .space import * from .utils import load_benchmark, do...
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nni
nni-master/nni/nas/benchmark/constants.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import os from nni.common.blob_utils import NNI_BLOB, nni_cache_home ENV_NASBENCHMARK_DIR = 'NASBENCHMARK_DIR' def _get_nasbenchmark_dir(): nni_home = nni_cache_home() return os.getenv(ENV_NASBENCHMARK_DIR, os.path.join(nni_home, 'na...
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nni
nni-master/nni/nas/benchmark/download.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import argparse if __name__ == '__main__': parser = argparse.ArgumentParser('NAS benchmark downloader') parser.add_argument('benchmark_name', choices=['nasbench101', 'nasbench201', 'nds']) args = parser.parse_args() from .utils...
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nni
nni-master/nni/nas/benchmark/evaluator.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['BenchmarkEvaluator', 'NasBench101Benchmark', 'NasBench201Benchmark'] import itertools import logging import random import warnings from typing import Any, cast import nni from nni.mutable import S...
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nni
nni-master/nni/nas/benchmark/space.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['BenchmarkModelSpace', 'SlimBenchmarkSpace'] import logging from typing import TYPE_CHECKING, overload from nni.mutable import MutableDict from nni.nas.space import RawFormatModelSpace, BaseModelSp...
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nni
nni-master/nni/nas/benchmark/utils.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import functools import json import os from playhouse.sqlite_ext import SqliteExtDatabase from nni.common.blob_utils import load_or_download_file from .constants import DB_URLS, DATABASE_DIR json_dumps = functools.partial(json.dumps, sort_ke...
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nni
nni-master/nni/nas/benchmark/nasbench101/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .constants import INPUT, OUTPUT, CONV3X3_BN_RELU, CONV1X1_BN_RELU, MAXPOOL3X3 from .schema import Nb101TrialStats, Nb101IntermediateStats, Nb101TrialConfig from .query import query_nb101_trial_stats
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nni
nni-master/nni/nas/benchmark/nasbench101/constants.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. INPUT = 'input' OUTPUT = 'output' CONV3X3_BN_RELU = 'conv3x3-bn-relu' CONV1X1_BN_RELU = 'conv1x1-bn-relu' MAXPOOL3X3 = 'maxpool3x3' LABEL2ID = { INPUT: -1, OUTPUT: -2, CONV3X3_BN_RELU: 0, CONV1X1_BN_RELU: 1, MAXPOOL3X3: 2 }
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nni
nni-master/nni/nas/benchmark/nasbench101/db_gen.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import argparse from tqdm import tqdm from nasbench import api # pylint: disable=import-error from nni.nas.benchmark.utils import load_benchmark from .schema import Nb101TrialConfig, Nb101TrialStats, Nb101IntermediateStats from .graph_util imp...
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nni
nni-master/nni/nas/benchmark/nasbench101/graph_util.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import hashlib import numpy as np from .constants import INPUT, LABEL2ID, OUTPUT def _labeling_from_architecture(architecture, vertices): return [INPUT] + [architecture['op{}'.format(i)] for i in range(1, vertices - 1)] + [OUTPUT] def _...
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nni
nni-master/nni/nas/benchmark/nasbench101/query.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import functools from peewee import fn from playhouse.shortcuts import model_to_dict from nni.nas.benchmark.utils import load_benchmark from .schema import Nb101TrialStats, Nb101TrialConfig, proxy from .graph_util import hash_module, infer_num_...
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nni
nni-master/nni/nas/benchmark/nasbench101/schema.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from peewee import CharField, FloatField, ForeignKeyField, IntegerField, Model, Proxy from playhouse.sqlite_ext import JSONField from nni.nas.benchmark.utils import json_dumps proxy = Proxy() class Nb101TrialConfig(Model): """ Trial c...
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nni
nni-master/nni/nas/benchmark/nasbench201/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .constants import NONE, SKIP_CONNECT, CONV_1X1, CONV_3X3, AVG_POOL_3X3 from .schema import Nb201TrialStats, Nb201IntermediateStats, Nb201TrialConfig from .query import query_nb201_trial_stats
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nni
nni-master/nni/nas/benchmark/nasbench201/constants.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. NONE = 'none' SKIP_CONNECT = 'skip_connect' CONV_1X1 = 'conv_1x1' CONV_3X3 = 'conv_3x3' AVG_POOL_3X3 = 'avg_pool_3x3' PRIMITIVES = [ NONE, SKIP_CONNECT, CONV_1X1, CONV_3X3, AVG_POOL_3X3, ]
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nni
nni-master/nni/nas/benchmark/nasbench201/db_gen.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import argparse import re import tqdm import torch from nni.nas.benchmark.utils import load_benchmark from .constants import NONE, SKIP_CONNECT, CONV_1X1, CONV_3X3, AVG_POOL_3X3 from .schema import Nb201TrialConfig, Nb201TrialStats, Nb201Interm...
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nni
nni-master/nni/nas/benchmark/nasbench201/query.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import functools from peewee import fn from playhouse.shortcuts import model_to_dict from nni.nas.benchmark.utils import load_benchmark from .schema import Nb201TrialStats, Nb201TrialConfig, proxy def query_nb201_trial_stats(arch, num_epochs,...
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nni
nni-master/nni/nas/benchmark/nasbench201/schema.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from peewee import CharField, FloatField, ForeignKeyField, IntegerField, Model, Proxy from playhouse.sqlite_ext import JSONField from nni.nas.benchmark.utils import json_dumps proxy = Proxy() class Nb201TrialConfig(Model): """ Trial c...
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nni
nni-master/nni/nas/benchmark/nds/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .constants import * from .schema import NdsTrialConfig, NdsTrialStats, NdsIntermediateStats from .query import query_nds_trial_stats
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nni
nni-master/nni/nas/benchmark/nds/constants.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. NONE = 'none' SKIP_CONNECT = 'skip_connect' AVG_POOL_3X3 = 'avg_pool_3x3' MAX_POOL_3X3 = 'max_pool_3x3' MAX_POOL_5X5 = 'max_pool_5x5' MAX_POOL_7X7 = 'max_pool_7x7' CONV_1X1 = 'conv_1x1' CONV_3X3 = 'conv_3x3' CONV_3X1_1X3 = 'conv_3x1_1x3' CONV_7X1...
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nni
nni-master/nni/nas/benchmark/nds/db_gen.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import json import argparse import os import numpy as np import tqdm from nni.nas.benchmark.utils import load_benchmark from .schema import NdsTrialConfig, NdsTrialStats, NdsIntermediateStats def inject_item(db, item, proposer, dataset, gener...
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nni
nni-master/nni/nas/benchmark/nds/query.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import functools from peewee import fn from playhouse.shortcuts import model_to_dict from nni.nas.benchmark.utils import load_benchmark from .schema import NdsTrialStats, NdsTrialConfig, proxy def query_nds_trial_stats(model_family, proposer,...
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nni
nni-master/nni/nas/benchmark/nds/schema.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from peewee import CharField, FloatField, ForeignKeyField, IntegerField, Model, Proxy from playhouse.sqlite_ext import JSONField from nni.nas.benchmark.utils import json_dumps proxy = Proxy() class NdsTrialConfig(Model): """ Trial con...
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nni
nni-master/nni/nas/benchmark/nlp/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .schema import NlpTrialStats, NlpIntermediateStats, NlpTrialConfig from .query import query_nlp_trial_stats
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nni
nni-master/nni/nas/benchmark/nlp/db_gen.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import json import os import argparse import tqdm from .schema import db, NlpTrialConfig, NlpTrialStats, NlpIntermediateStats def main(): parser = argparse.ArgumentParser() parser.add_argument('input_dir', help='Path to extracted NLP d...
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nni
nni-master/nni/nas/benchmark/nlp/query.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import functools from peewee import fn from playhouse.shortcuts import model_to_dict from .schema import NlpTrialStats, NlpTrialConfig def query_nlp_trial_stats(arch, dataset, reduction=None, include_intermediates=False): """ Query tri...
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nni
nni-master/nni/nas/benchmark/nlp/schema.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import os from peewee import CharField, FloatField, ForeignKeyField, IntegerField, Model from playhouse.sqlite_ext import JSONField, SqliteExtDatabase from nni.nas.benchmark.utils import json_dumps from nni.nas.benchmark.constants import DATABA...
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nni
nni-master/nni/nas/evaluator/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from nni.common.framework import shortcut_framework from .evaluator import * from .functional import FunctionalEvaluator shortcut_framework(__name__) del shortcut_framework
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nni
nni-master/nni/nas/evaluator/evaluator.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['Evaluator', 'MutableEvaluator', 'FrozenEvaluator'] import logging from contextlib import contextmanager from typing import Any, Callable, Iterator, Iterable, Generator, TYPE_CHECKING, cast from typ...
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nni
nni-master/nni/nas/evaluator/functional.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations from typing import ClassVar from nni.common.serializer import SerializableObject from .evaluator import MutableEvaluator class FunctionalEvaluator(MutableEvaluator): """ Functional evaluator that dir...
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nni-master/nni/nas/evaluator/tensorflow.py
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nni
nni-master/nni/nas/evaluator/pytorch/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import warnings try: from .lightning import * except ImportError: warnings.warn("PyTorch-Lightning must be installed to use PyTorch in NAS. " "If you are not using PyTorch, please `nni.set_default_framework('none')`") ...
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nni-master/nni/nas/evaluator/pytorch/lightning.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import logging import os import warnings from pathlib import Path from typing import Any, Dict, Union, Optional, List, Type import pytorch_lightning as pl import torch.nn as nn import torch.nn.functional as nn_functional import torch.optim as op...
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nni-master/nni/nas/evaluator/pytorch/cgo/__init__.py
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nni
nni-master/nni/nas/evaluator/pytorch/cgo/evaluator.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import warnings from typing import Dict, List, Optional, Union, Type import torch.nn as nn import torch.optim as optim import torchmetrics from torch.utils.data import DataLoader import nni from ..lightning import LightningModule, _AccuracyWi...
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nni-master/nni/nas/evaluator/pytorch/cgo/trainer.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import pytorch_lightning as pl from pytorch_lightning.strategies import SingleDeviceStrategy class BypassStrategy(SingleDeviceStrategy): strategy_name = "single_device" def model_to_device(self) -> None: pass class Trainer(pl...
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nni
nni-master/nni/nas/execution/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .engine import * from .event import * from .sequential import * from .training_service import *
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nni-master/nni/nas/execution/engine.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations import logging import time from collections import defaultdict from typing import Any, Iterable, NewType, Callable, Type, overload from nni.nas.space import ExecutableModelSpace, ModelStatus from .event impor...
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nni
nni-master/nni/nas/execution/event.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['ModelEventType', 'ModelEvent', 'FinalMetricEvent', 'IntermediateMetricEvent', 'TrainingEndEvent'] from enum import Enum from typing import ClassVar from dataclasses import dataclass from nni.nas.s...
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nni
nni-master/nni/nas/execution/sequential.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['SequentialExecutionEngine'] import logging import time import traceback from typing import Iterable, List, cast from typing_extensions import Literal import nni from nni.runtime.trial_command_chan...
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nni
nni-master/nni/nas/execution/training_service.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['TrainingServiceExecutionEngine'] import logging import sys import time import weakref from threading import Event, Thread from typing import Iterable, TYPE_CHECKING, Any, cast import nni from nni....
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nni
nni-master/nni/nas/execution/cgo/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .evaluator import * from .middleware import CrossGraphOptimization
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nni
nni-master/nni/nas/execution/cgo/evaluator.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['MultiModelLightningModule', 'MultiModelTrainer'] import pytorch_lightning import torch from pytorch_lightning.strategies import SingleDeviceStrategy from torch import nn from torchmetrics import Me...
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nni
nni-master/nni/nas/execution/cgo/middleware.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['CrossGraphOptimization'] import logging import time import threading from collections.abc import Iterable from typing import List, Dict, Tuple, cast from nni.common.device import GPUDevice, Device...
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nni-master/nni/nas/execution/cgo/logical_optimizer/__init__.py
0
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nni
nni-master/nni/nas/execution/cgo/logical_optimizer/interface.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from abc import ABC from .logical_plan import LogicalPlan class AbstractOptimizer(ABC): def __init__(self) -> None: pass def convert(self, logical_plan: LogicalPlan) -> None: raise NotImplementedError
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nni-master/nni/nas/execution/cgo/logical_optimizer/logical_plan.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import copy from typing import Dict, Tuple, Any, Type, cast from nni.common.device import Device, CPUDevice from nni.mutable.utils import uid from nni.nas.space import Edge, Graph, GraphModelSpace, Node from nni.nas.space.graph_op import Cell, ...
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nni
nni-master/nni/nas/execution/cgo/logical_optimizer/opt_dedup_input.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from typing import List, Dict, Tuple, cast from nni.mutable.utils import uid from nni.common.device import GPUDevice from nni.nas.space import GraphModelSpace, Graph, Node from .interface import AbstractOptimizer from .logical_plan import Abstr...
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nni
nni-master/nni/nas/experiment/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .experiment import NasExperiment from .config import NasExperimentConfig
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nni
nni-master/nni/nas/experiment/experiment.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['NasExperiment'] import atexit import logging import warnings from pathlib import Path from typing import Any, ClassVar, cast from typing_extensions import Literal import nni from nni.experiment im...
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nni
nni-master/nni/nas/experiment/config/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .experiment import * from .engine import * from .format import *
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nni
nni-master/nni/nas/experiment/config/engine.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. __all__ = [ 'ExecutionEngineConfig', 'TrainingServiceEngineConfig', 'CgoEngineConfig', 'SequentialEngineConfig', ] import logging from dataclasses import dataclass from typing import Optional from nni.experiment.config import ExperimentConf...
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nni-master/nni/nas/experiment/config/experiment.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import logging import sys from dataclasses import dataclass from pathlib import Path from typing import Any, Dict, Optional, TYPE_CHECKING, Union, List from typing_extensions import Literal from nni.experiment.config import utils, ExperimentConf...
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nni
nni-master/nni/nas/experiment/config/format.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from dataclasses import dataclass from typing import Optional, List from .utils import NamedSubclassConfigBase __all__ = [ 'ModelFormatConfig', 'GraphModelFormatConfig', 'SimplifiedModelFormatConfig', 'RawModelFormatConfig', ] @datac...
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nni
nni-master/nni/nas/experiment/config/utils.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = ['NamedSubclassConfigBase'] from typing import Type from nni.experiment.config.base import ConfigBase class NamedSubclassConfigBase(ConfigBase): """Base class for configs with ``name`` to spec...
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nni
nni-master/nni/nas/hub/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from nni.common.framework import shortcut_framework shortcut_framework(__name__) del shortcut_framework
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nni
nni-master/nni/nas/hub/tensorflow.py
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nni
nni-master/nni/nas/hub/pytorch/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .mobilenetv3 import MobileNetV3Space from .nasbench101 import NasBench101 from .nasbench201 import NasBench201 from .nasnet import NDS, NASNet, ENAS, AmoebaNet, PNAS, DARTS from .proxylessnas import ProxylessNAS from .shufflenet import Shuff...
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nni
nni-master/nni/nas/hub/pytorch/autoformer.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations __all__ = [ 'AutoFormer', 'RelativePositionSelfAttention', 'RelativePosition2D', ] from typing import Tuple, cast, Any, Dict import torch import torch.nn as nn import torch.nn.functional as F import nni ...
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nni
nni-master/nni/nas/hub/pytorch/mobilenetv3.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from functools import partial from typing import Tuple, Optional, Callable, Union, List, Type, cast from typing_extensions import Literal import torch from torch import nn import nni from nni.nas.nn.pytorch import ModelSpace, Repeat, LayerChoic...
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nni
nni-master/nni/nas/hub/pytorch/nasbench101.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import math import torch import torch.nn as nn from nni.nas.nn.pytorch import ModelSpace from .modules.nasbench101 import NasBench101Cell __all__ = ['NasBench101'] def truncated_normal_(tensor: torch.Tensor, mean: float = 0, std: float = 1)...
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nni
nni-master/nni/nas/hub/pytorch/nasbench201.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from typing import Callable, Dict import torch import torch.nn as nn from nni.nas.nn.pytorch import ModelSpace from .modules.nasbench201 import NasBench201Cell __all__ = ['NasBench201'] OPS_WITH_STRIDE = { 'none': lambda C_in, C_out, st...
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nni-master/nni/nas/hub/pytorch/nasnet.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. # type: ignore """File containing NASNet-series search space. The implementation is based on NDS. It's called ``nasnet.py`` simply because NASNet is the first to propose such structure. """ from functools import partial from typing import Tupl...
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nni-master/nni/nas/hub/pytorch/proxylessnas.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import math from typing import Optional, Callable, List, Tuple, Iterator, Union, cast, overload import torch from torch import nn from nni.mutable import MutableExpression from nni.nas.nn.pytorch import ModelSpace, LayerChoice, Repeat, MutableCo...
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nni
nni-master/nni/nas/hub/pytorch/shufflenet.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from typing import Union, cast import torch import torch.nn as nn import nni from nni.mutable import MutableExpression from nni.nas.nn.pytorch import LayerChoice, ModelSpace, MutableConv2d, MutableBatchNorm2d from .utils.pretrained import load_...
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nni
nni-master/nni/nas/hub/pytorch/modules/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """Famous building blocks of search spaces.""" from .autoactivation import * from .nasbench101 import * from .nasbench201 import *
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nni-master/nni/nas/hub/pytorch/modules/autoactivation.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations import inspect import sys from typing import Iterable from packaging.version import Version import torch import torch.nn as nn from nni.mutable import label_scope from nni.nas.nn.pytorch import LayerChoice, P...
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nni
nni-master/nni/nas/hub/pytorch/modules/nasbench101.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. __all__ = ['NasBench101Cell'] import logging from collections import OrderedDict from typing import Callable, List, Optional, Union, Dict, Tuple, Callable, Iterable, Any, cast import numpy as np import torch import torch.nn as nn from nni.muta...
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nni
nni-master/nni/nas/hub/pytorch/modules/nasbench201.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. __all__ = ['NasBench201Cell'] from collections import OrderedDict from typing import Callable, List, Dict, Union, Optional import torch import torch.nn as nn from nni.mutable import label_scope from nni.nas.nn.pytorch import LayerChoice, Mutab...
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nni
nni-master/nni/nas/hub/pytorch/utils/__init__.py
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nni
nni-master/nni/nas/hub/pytorch/utils/nn.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """Miscellaneous neural network utilities.""" from torch import nn def drop_path(x, drop_prob: float = 0., training: bool = False, scale_by_keep: bool = True): """Drop paths (Stochastic Depth) per sample (when applied in main path of resid...
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nni-master/nni/nas/hub/pytorch/utils/pretrained.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """ Weights available in this file are processed with scripts in https://github.com/ultmaster/spacehub-conversion, and uploaded with :func:`nni.common.blob_utils.upload_file`. """ import os from nni.common.blob_utils import NNI_BLOB, nni_cache_...
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nni
nni-master/nni/nas/nn/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. """Neural network blocks or layers. Named ``nn`` following PyTorch convention. """ from nni.common.framework import shortcut_framework shortcut_framework(__name__) del shortcut_framework
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nni-master/nni/nas/nn/pytorch/__init__.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .base import * from .choice import * from .repeat import * from .cell import * from .layers import *
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nni
nni-master/nni/nas/nn/pytorch/base.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. # Can't have annotations on because PyTorch JIT doesn't support it. # from __future__ import annotations __all__ = [ 'recursive_freeze', 'MutableModule', 'ModelSpace', 'ParametrizedModule' ] import copy import itertools import inspect impor...
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nni
nni-master/nni/nas/nn/pytorch/cell.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import copy import logging import warnings from typing import Callable, Dict, List, Union, Optional, Tuple, Sequence, Union, cast try: from typing import Literal except ImportError: from typing_extensions import Literal import torch impo...
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nni
nni-master/nni/nas/nn/pytorch/choice.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. # Can't have annotations on because PyTorch JIT doesn't support it. # from __future__ import annotations import functools import warnings from typing import (Any, Iterator, List, Optional, Dict, Union, Tuple, cast) from typing_extensions import ...
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nni
nni-master/nni/nas/nn/pytorch/layers.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. # FIXME: The dynamic generation causes issues upon un-install of NNI or # when NNI's been installed at a place with no write access. # We should find a better way to do this. # If you've seen lint errors like `"Sequential" is not a...
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nni
nni-master/nni/nas/nn/pytorch/repeat.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import copy import logging import warnings from contextlib import contextmanager from typing import Callable, List, Union, Tuple, Optional, cast import torch import torch.nn as nn from nni.mutable import Categorical, LabeledMutable, Mutable, Sa...
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nni
nni-master/nni/nas/nn/tensorflow/api.py
# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from __future__ import annotations from tensorflow.keras import Layer class LayerChoice(Layer): # FIXME: This is only a draft to test multi-framework support, it's not unimplemented at all. pass
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