Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
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nni | nni-master/test/algo/compression/pruning/test_speedup_softmax.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
"""
NNI test for ModelSpeedup
In this test, we detect whether the masks can propagate correctly in log_softmax.
"""
import unittest
import torch
import torch.nn.functional as F
from nni.compression.utils.counter import count_flops_params
from n... | 2,780 | 32.914634 | 88 | py |
nni | nni-master/test/algo/compression/pruning/test_speedup_torchvision.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import pytest
import torch
import torchvision.models as tm
from nni.common.concrete_trace_utils import concrete_trace
from nni.compression.pruning import L1NormPruner
from nni.compression.speedup import ModelSpeedup, auto_set_denpendency_group_ids... | 1,304 | 26.1875 | 81 | py |
nni | nni-master/test/algo/compression/quantization/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/compression/quantization/bnn_test.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
import pytest
import functools
from typing import Callable, Union, List, Dict, Tuple
import torch
import torch.nn.functional as F
from torch.optim import Optimizer
from torch.utils.data import DataLoader
from... | 2,247 | 29.378378 | 112 | py |
nni | nni-master/test/algo/compression/quantization/dorefa_test.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
import pytest
import functools
from typing import Callable, Union, List, Dict, Tuple
import torch
import torch.nn.functional as F
from torch.optim import Optimizer
from torch.utils.data import DataLoader
from... | 2,213 | 28.918919 | 112 | py |
nni | nni-master/test/algo/compression/quantization/lsq_test.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
import pytest
import functools
from typing import Callable, Union, List, Dict, Tuple
import torch
import torch.nn.functional as F
from torch.optim import Optimizer
from torch.utils.data import DataLoader
from... | 2,217 | 28.972973 | 112 | py |
nni | nni-master/test/algo/compression/quantization/ptq_test.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
import pytest
import functools
from typing import Callable, Union, List, Dict, Tuple
import torch
import torch.nn.functional as F
from torch.optim import Optimizer
from torch.utils.data import DataLoader
from... | 2,217 | 28.972973 | 112 | py |
nni | nni-master/test/algo/compression/quantization/qat_test.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
import pytest
import functools
from typing import Callable, Union, List, Dict, Tuple
import torch
import torch.nn.functional as F
from torch.optim import Optimizer
from torch.utils.data import DataLoader
from... | 2,217 | 28.972973 | 112 | py |
nni | nni-master/test/algo/compression/utils/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/compression/utils/test_evaluator.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
from __future__ import annotations
import pytest
import torch
from nni.compression.utils.evaluator import (
TensorHook,
ForwardHook,
BackwardHook,
)
from ..assets.device import device
from ..assets.simple_mnist import (
Simple... | 3,704 | 32.990826 | 101 | py |
nni | nni-master/test/algo/compression/utils/test_scaling.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import pytest
import torch
from nni.compression.utils.scaling import Scaling
@pytest.mark.parametrize("kernel_padding_mode", ['front', 'back'])
@pytest.mark.parametrize("kernel_padding_val", [None, 1, -1])
@pytest.mark.parametrize("keepdim", ... | 2,157 | 43.040816 | 117 | py |
nni | nni-master/test/algo/nas/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/nas/test_evaluator_lightning.py | import pytest
import pytorch_lightning
import torch
import torch.nn as nn
import torch.nn.functional as F
from sklearn.datasets import load_diabetes
from torch.utils.data import Dataset
from torchvision import transforms
from torchvision.datasets import MNIST
import nni
import nni.nas.evaluator.pytorch.lightning as p... | 5,005 | 36.358209 | 108 | py |
nni | nni-master/test/algo/nas/benchmark/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/nas/benchmark/prepare.py | import sys
import pytest
import nni
from nni.nas.benchmark import download_benchmark
def prepare_benchmark():
for benchmark in ['nasbench101', 'nasbench201']:
download_benchmark(benchmark)
@pytest.fixture(autouse=True)
def reset_cached_parameter():
if sys.platform != 'linux':
pytest.skip('Ben... | 485 | 23.3 | 63 | py |
nni | nni-master/test/algo/nas/benchmark/test_algo.py | import pytest
from nni.nas.benchmark import *
from nni.nas.execution import SequentialExecutionEngine
from nni.nas.strategy import *
from nni.nas.hub.pytorch import NasBench101, NasBench201
from .prepare import *
# TODO: tune RL and make it work
def test_nasbench101_with_rl():
pytorch_space = NasBench101()
... | 1,906 | 33.053571 | 75 | py |
nni | nni-master/test/algo/nas/benchmark/test_sanity.py | from nni.mutable import SampleValidationError
from nni.nas.benchmark import *
from nni.nas.hub.pytorch import NasBench101, NasBench201
from .prepare import *
def test_nasbench101():
benchmark = NasBench101Benchmark()
exec_space = BenchmarkModelSpace(benchmark)
model = exec_space.default()
with bench... | 1,618 | 27.403509 | 73 | py |
nni | nni-master/test/algo/nas/cgo/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/nas/cgo/test_cgo_engine.py | from pathlib import Path
import pytest
import torch
import torch.nn as nn
import torchmetrics
from torchvision.datasets import MNIST
from torchvision import transforms
from pytorch_lightning import seed_everything
import nni
from nni.experiment.config import RemoteConfig, RemoteMachineConfig
from nni.nas.evaluator.py... | 9,618 | 34.234432 | 126 | py |
nni | nni-master/test/algo/nas/graph_converter/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/nas/graph_converter/convert_mixin.py | import unittest
import torch
from nni.nas.space.pytorch.graph import PytorchGraphModelSpace
from nni.nas.utils import original_state_dict_hooks
class ConvertMixin:
def tensor_equal(self, x, y):
if not isinstance(x, torch.Tensor):
return x == y
return torch.allclose(x.float().nan_to_n... | 1,653 | 35.755556 | 133 | py |
nni | nni-master/test/algo/nas/graph_converter/inject_nn.py | import inspect
import torch.nn as nn
import nni.nas.nn.pytorch.layers as nas_nn
_original_classes = {}
def remove_inject_pytorch_nn():
for name in _original_classes:
setattr(nn, name, _original_classes[name])
def inject_pytorch_nn():
for name in dir(nn):
if inspect.isclass(getattr(nn, name)... | 477 | 25.555556 | 91 | py |
nni | nni-master/test/algo/nas/graph_converter/test_convert.py | """
Reference: We use tested models from https://github.com/pytorch/pytorch/blob/master/test/jit/test_models.py.
"""
import unittest
import torch
import torch.nn.functional as F
import torchvision
import nni.nas.nn.pytorch.layers as nn
from nni.nas.nn.pytorch import ParametrizedModule
from .convert_mixin import Con... | 22,686 | 40.399635 | 143 | py |
nni | nni-master/test/algo/nas/graph_converter/test_convert_basic.py | import unittest
import torch
import nni.nas.nn.pytorch.layers as nn
from .convert_mixin import ConvertMixin, ConvertWithShapeMixin
# following pytorch v1.7.1
class TestConvert(unittest.TestCase, ConvertMixin):
# skip torch.Tensor.new_tensor as it is not supported by jit
def test_basic_new_full(self):
... | 9,779 | 38.595142 | 171 | py |
nni | nni-master/test/algo/nas/graph_converter/test_convert_models.py | import unittest
import torch
import nni.nas.nn.pytorch.layers as nn
from .convert_mixin import ConvertMixin, ConvertWithShapeMixin
class TestModels(unittest.TestCase, ConvertMixin):
def test_nested_modulelist(self):
class Net(nn.Module):
def __init__(self, num_nodes, num_ops_per_node):
... | 3,135 | 30.36 | 105 | py |
nni | nni-master/test/algo/nas/graph_converter/test_convert_operators.py |
'''
The tests in this file is copied and transformed from
`https://github.com/pytorch/pytorch/blob/master/test/onnx/test_operators.py`
'''
import unittest
from typing import (Dict)
import torch
import nni.nas.nn.pytorch.layers as nn
from .convert_mixin import ConvertMixin, ConvertWithShapeMixin
# following pytorc... | 44,875 | 31.924431 | 134 | py |
nni | nni-master/test/algo/nas/graph_converter/test_convert_pytorch.py | '''
The tests in this file is copied and transformed from
https://github.com/pytorch/pytorch/blob/master/test/onnx/test_pytorch_onnx_onnxruntime.py
'''
import unittest
import numpy as np
import torch
import torch.nn.functional as F
import torchvision
import nni.nas.nn.pytorch.layers as nn
from .convert_mixin import... | 43,362 | 33.970161 | 131 | py |
nni | nni-master/test/algo/nas/graph_converter/test_convert_shape.py | import unittest
import torch
import nni.nas.nn.pytorch.layers as nn
from nni.nas.nn.pytorch import LayerChoice, ModelSpace
from .convert_mixin import ConvertWithShapeMixin
class TestShape(unittest.TestCase, ConvertWithShapeMixin):
def test_simple_convnet(self):
class ConvNet(nn.Module):
def ... | 3,549 | 42.292683 | 100 | py |
nni | nni-master/test/algo/nas/hub/test_pretrained.py | import os
import numpy as np
import torch
import tqdm
import PIL
from torch.utils.data import SubsetRandomSampler, DataLoader
from torchvision import transforms
from torchvision.datasets import ImageNet, CIFAR10
class ToBGRTensor(object):
def __call__(self, img):
assert isinstance(img, (np.ndarray, PIL.... | 4,179 | 37.703704 | 121 | py |
nni | nni-master/test/algo/nas/hub/test_sanity.py | """Currently, this is only a sanity-check (runnable) of spaces provided in hub."""
from torchvision import transforms
from torchvision.datasets import FakeData
import pytest
import pytorch_lightning
import nni
import nni.nas.evaluator.pytorch.lightning as pl
import nni.nas.hub.pytorch as searchspace
from nni.mutabl... | 5,261 | 31.282209 | 116 | py |
nni | nni-master/test/algo/nas/oneshot/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/nas/oneshot/test_hub.py | import logging
import sys
import pytest
import numpy as np
import torch
from torch.utils.data import Subset
from torchvision import transforms
from torchvision.datasets import CIFAR10, ImageNet
import nni
import nni.nas.hub.pytorch as ss
import nni.nas.evaluator.pytorch as pl
import nni.nas.strategy as stg
from nni.n... | 9,092 | 31.708633 | 133 | py |
nni | nni-master/test/algo/nas/oneshot/test_profiler.py | import pytest
import torch
from torch.nn import Conv2d
from nni.nas.nn import ModelSpace, LayerChoice
from nni.nas.oneshot.pytorch.profiler import RangeProfilerFilter, ExpectationProfilerPenalty, SampleProfilerPenalty
from nni.nas.profiler.pytorch.flops import FlopsProfiler
class Net(ModelSpace):
def __init__(s... | 3,315 | 33.905263 | 115 | py |
nni | nni-master/test/algo/nas/oneshot/test_proxyless.py | import random
import pytest
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset, DataLoader
import nni
from nni.mutable import frozen
from nni.nas.hub.pytorch.nasbench201 import OPS_WITH_STRIDE
from nni.nas.nn.pytorch import Repeat
from nni.nas.oneshot.pytorch.supermodule.base import BaseSu... | 7,214 | 31.795455 | 135 | py |
nni | nni-master/test/algo/nas/oneshot/test_strategy.py | import pytest
import numpy as np
import torch
import pytorch_lightning as pl
from pytorch_lightning import LightningModule, Trainer
from torchvision import transforms
from torchvision.datasets import MNIST
from torch import nn
from torch.utils.data import Dataset, RandomSampler, Subset
import nni
from nni.nas import ... | 11,040 | 38.859206 | 130 | py |
nni | nni-master/test/algo/nas/oneshot/test_supermodules.py | import pytest
import numpy as np
import torch
import torch.nn as nn
import nni
from nni.mutable import MutableList, frozen
from nni.nas.nn.pytorch import LayerChoice, ModelSpace, Cell, MutableConv2d, MutableBatchNorm2d, MutableLayerNorm, MutableLinear, MutableMultiheadAttention
from nni.nas.oneshot.pytorch.differenti... | 28,697 | 44.264984 | 187 | py |
nni | nni-master/test/algo/nas/oneshot/test_utils.py | import math
from typing import Union
import pytest
import torch
import pytorch_lightning
from pytorch_lightning import LightningModule, Trainer
from pytorch_lightning.trainer.states import RunningStage
from torch.utils.data import DataLoader, Dataset
pytestmark = pytest.mark.skipif(pytorch_lightning.__version__ < '1.... | 4,259 | 30.555556 | 119 | py |
nni | nni-master/test/algo/nas/profiler/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/nas/profiler/conftest.py | import pytest
from nni.mutable import frozen_context
@pytest.fixture(autouse=True)
def context():
with frozen_context():
yield
| 142 | 13.3 | 38 | py |
nni | nni-master/test/algo/nas/profiler/test_flops.py | import torch
from nni.compression.utils.counter import count_flops_params
from nni.nas.hub.pytorch import ProxylessNAS, MobileNetV3Space, AutoFormer, ShuffleNetSpace
from nni.nas.profiler.pytorch.flops import FlopsParamsProfiler
def test_proxylessnas():
net = ProxylessNAS()
proxy_mobile_arch = {
's2_... | 3,710 | 30.184874 | 139 | py |
nni | nni-master/test/algo/nas/profiler/test_nn_meter.py | import pytest
import torch
from torch import nn
import nni
from nni.mutable import Categorical
from nni.nas.hub.pytorch import *
from nni.nas.hub.pytorch.mobilenetv3 import SqueezeExcite
from nni.nas.hub.pytorch.proxylessnas import ConvBNReLU, DepthwiseSeparableConv, InvertedResidual
from nni.nas.nn.pytorch import Mu... | 7,860 | 36.255924 | 124 | py |
nni | nni-master/test/algo/nas/profiler/test_shape.py | import re
from functools import partial
import torch
from nni.nas.hub.pytorch import *
from nni.nas.profiler.pytorch.utils import *
def _real_shape_inference(model, *args, **kwargs):
shapes = {}
def _save_hook(module, input, output, name):
try:
input_shapes = tuple(i.shape for i in inpu... | 5,851 | 38.809524 | 131 | py |
nni | nni-master/test/algo/nas/strategy/__init__.py | 0 | 0 | 0 | py | |
nni | nni-master/test/algo/nas/strategy/test_hpo.py | import pytest
from nni.nas.strategy import TPE
from ut.nas.strategy.test_sanity import named_model_space, engine
def test_tpe_sanity(named_model_space, engine):
# put here because it takes long for some reason.
name, model_space = named_model_space
if name != 'base':
pytest.skip('TPE strategy onl... | 660 | 30.47619 | 66 | py |
nni | nni-master/test/algo/nas/strategy/test_rl_impl.py | from functools import partial
import numpy as np
import pytest
from tianshou.data import ReplayBuffer, Batch
from tianshou.policy import BasePolicy
from nni.mutable import Categorical, Numerical, CategoricalMultiple, MutableDict, MutableList, ExpressionConstraint
from nni.nas.strategy._rl_impl import TuningTrajectoryG... | 7,885 | 33.286957 | 115 | py |
nni | nni-master/test/training_service/config/integration_tests.yml |
defaultTestCaseConfig:
launchCommand: nnictl create --config $configFile --debug
stopCommand: nnictl stop
experimentStatusCheck: True
platform: linux darwin win32
trainingService: all
testCases:
#######################################################################
# nni examples test
#####################... | 7,364 | 36.576531 | 242 | yml |
nni | nni-master/test/training_service/config/integration_tests_config_v2.yml |
defaultTestCaseConfig:
launchCommand: nnictl create --config $configFile --debug
stopCommand: nnictl stop
experimentStatusCheck: True
platform: linux darwin win32
trainingService: all
testCases:
#######################################################################
# nni examples test
#####################... | 4,743 | 37.885246 | 242 | yml |
nni | nni-master/test/training_service/config/integration_tests_tf2.yml |
defaultTestCaseConfig:
launchCommand: nnictl create --config $configFile --debug
stopCommand: nnictl stop
experimentStatusCheck: True
platform: linux darwin win32
trainingService: all
testCases:
#######################################################################
# nni examples test
#####################... | 4,161 | 31.263566 | 97 | yml |
nni | nni-master/test/training_service/config/pr_tests.yml |
defaultTestCaseConfig:
launchCommand: nnictl create --config $configFile
stopCommand: nnictl stop
experimentStatusCheck: True
platform: linux darwin win32
trainingService: all
testCases:
#########################################################################
# naive test
#################################... | 4,144 | 27.586207 | 84 | yml |
nni | nni-master/test/training_service/config/training_service.yml | all:
logCollection: http
kubeflow:
maxExecDuration: 15m
nniManagerIp:
# use a small trial number to make IT faster
maxTrialNum: 2
trialConcurrency: 2
kubeflowConfig:
operator: tf-operator
apiVersion: v1
storage: azureStorage
keyVault:
vaultName:
name:
azureStorage:
... | 2,872 | 18.412162 | 94 | yml |
nni | nni-master/test/training_service/config/training_service_v2.yml | hybrid:
trainingService:
- platform: remote
machineList:
- host:
user:
password:
port:
- platform: local
- platform: aml
subscriptionId:
resourceGroup:
workspaceName:
computeTarget:
kubeflow:
trialGpuNumber: 1
trialConcurrency: 2
maxTrialNumber: 2
nn... | 1,370 | 19.772727 | 44 | yml |
nni | nni-master/test/training_service/config/assessors/curvefitting-v2.yml | experimentName: default_test
searchSpaceFile: ../naive_trial/search_space.json
trialCommand: python3 trial.py
trialCodeDirectory: ../naive_trial
trialGpuNumber: 0
trialConcurrency: 8
maxExperimentDuration: 15m
maxTrialNumber: 8
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: loc... | 423 | 19.190476 | 49 | yml |
nni | nni-master/test/training_service/config/assessors/curvefitting.yml | authorName: nni
experimentName: default_test
maxExecDuration: 10m
maxTrialNum: 8
trialConcurrency: 8
searchSpacePath: ../naive_trial/search_space.json
tuner:
builtinTunerName: TPE
classArgs:
optimize_mode: maximize
assessor:
builtinAssessorName: Curvefitting
classArgs:
epoch_num: 20
start_s... | 513 | 17.357143 | 49 | yml |
nni | nni-master/test/training_service/config/assessors/medianstop-v2.yml | experimentName: default_test
searchSpaceFile: ../naive_trial/search_space.json
trialCommand: python3 trial.py
trialCodeDirectory: ../naive_trial
trialGpuNumber: 0
trialConcurrency: 8
maxExperimentDuration: 15m
maxTrialNumber: 8
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: loc... | 392 | 20.833333 | 49 | yml |
nni | nni-master/test/training_service/config/assessors/medianstop.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 8
trialConcurrency: 8
searchSpacePath: ../naive_trial/search_space.json
tuner:
builtinTunerName: TPE
classArgs:
optimize_mode: maximize
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
c... | 437 | 15.846154 | 49 | yml |
nni | nni-master/test/training_service/config/customized_tuners/demotuner-sklearn-classification-v2.yml | experimentName: default_test
searchSpaceFile: ../../../../examples/trials/sklearn/classification/search_space.json
trialCommand: python3 main.py
trialCodeDirectory: ../../../../examples/trials/sklearn/classification
trialGpuNumber: 0
trialConcurrency: 4
maxExperimentDuration: 15m
maxTrialNumber: 2
tuner:
name: demotu... | 429 | 24.294118 | 85 | yml |
nni | nni-master/test/training_service/config/customized_tuners/demotuner-sklearn-classification.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ../../../../examples/trials/sklearn/classification/search_space.json
tuner:
builtinTunerName: demotuner
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
co... | 508 | 20.208333 | 85 | yml |
nni | nni-master/test/training_service/config/examples/cifar10-pytorch-adl.yml | authorName: nni
experimentName: default_test
maxExecDuration: 15m
maxTrialNum: 1
trialConcurrency: 1
searchSpacePath: ./cifar10_adl_search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: /examples/trials/cifar10_pytorch... | 464 | 18.375 | 48 | yml |
nni | nni-master/test/training_service/config/examples/cifar10-pytorch-v2.yml | experimentName: default_test
searchSpaceFile: cifar10_search_space.json
trialCommand: python3 main.py --epochs 1 --batches 1
trialCodeDirectory: ../../../../examples/trials/cifar10_pytorch
trialGpuNumber: 0
trialConcurrency: 1
maxExperimentDuration: 15m
maxTrialNumber: 1
tuner:
name: Random
trainingService:
platfor... | 399 | 22.529412 | 63 | yml |
nni | nni-master/test/training_service/config/examples/cifar10-pytorch.yml | authorName: nni
experimentName: default_test
maxExecDuration: 15m
maxTrialNum: 2
trialConcurrency: 2
searchSpacePath: ./cifar10_search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: ../../../../examples/trials/cifar10_... | 481 | 19.083333 | 54 | yml |
nni | nni-master/test/training_service/config/examples/mnist-keras-v2.yml | experimentName: default_test
searchSpaceFile: ../../../../examples/trials/mnist-keras/search_space.json
trialCommand: python3 mnist-keras.py --num_train 200 --epochs 1
trialCodeDirectory: ../../../../examples/trials/mnist-keras
trialGpuNumber: 0
trialConcurrency: 2
maxExperimentDuration: 15m
maxTrialNumber: 2
tuner:
... | 438 | 24.823529 | 74 | yml |
nni | nni-master/test/training_service/config/examples/mnist-keras.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ../../../../examples/trials/mnist-keras/search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: ../../.... | 505 | 21 | 74 | yml |
nni | nni-master/test/training_service/config/examples/mnist-nested-search-space-v2.yml | experimentName: default_test
searchSpaceFile: ../../../../examples/trials/mnist-nested-search-space/search_space.json
trialCommand: python3 mnist.py --batch_num 10
trialCodeDirectory: ../../../../examples/trials/mnist-nested-search-space
trialGpuNumber: 0
trialConcurrency: 2
maxExperimentDuration: 15m
maxTrialNumber: 2... | 445 | 25.235294 | 88 | yml |
nni | nni-master/test/training_service/config/examples/mnist-nested-search-space.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ../../../../examples/trials/mnist-nested-search-space/search_space.json
tuner:
#choice: TPE, Random, Anneal, Evolution
builtinTunerName: TPE
assessor:
builtinAssessorName: Medianstop
classArgs:
... | 554 | 22.125 | 88 | yml |
nni | nni-master/test/training_service/config/examples/mnist-pytorch-gpu.yml | authorName: nni
experimentName: default_test
maxExecDuration: 15m
maxTrialNum: 2
trialConcurrency: 2
searchSpacePath: ./mnist_pytorch_search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: ../../../../examples/trials/mn... | 547 | 19.296296 | 54 | yml |
nni | nni-master/test/training_service/config/examples/mnist-pytorch-v2.yml | experimentName: default_test
searchSpaceFile: ./mnist_pytorch_search_space.json
trialCommand: python3 mnist.py --epochs 1 --batch_num 10
trialCodeDirectory: ../../../../examples/trials/mnist-pytorch
trialGpuNumber: 0
trialConcurrency: 1
maxExperimentDuration: 15m
maxTrialNumber: 1
tuner:
name: Random
trainingService... | 411 | 21.888889 | 61 | yml |
nni | nni-master/test/training_service/config/examples/mnist-pytorch.yml | authorName: nni
experimentName: default_test
maxExecDuration: 15m
maxTrialNum: 2
trialConcurrency: 2
searchSpacePath: ./mnist_pytorch_search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: ../../../../examples/trials/mn... | 478 | 19.826087 | 54 | yml |
nni | nni-master/test/training_service/config/examples/mnist-tfv1-v2.yml | experimentName: default_test
searchSpaceFile: ./mnist_search_space.json
trialCommand: python3 mnist.py --batch_num 10
trialCodeDirectory: ../../../../examples/trials/mnist-tfv1
trialGpuNumber: 0
trialConcurrency: 1
maxExperimentDuration: 15m
maxTrialNumber: 1
tuner:
name: Random
trainingService:
platform: local
ass... | 387 | 21.823529 | 58 | yml |
nni | nni-master/test/training_service/config/examples/mnist-tfv1.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ./mnist_search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: ../../../../examples/trials/mnist-tfv1
... | 454 | 18.782609 | 49 | yml |
nni | nni-master/test/training_service/config/examples/mnist-tfv2-v2.yml | experimentName: default_test
searchSpaceFile: ./mnist_search_space.json
trialCommand: python3 mnist.py
trialCodeDirectory: ../../../../examples/trials/mnist-tfv2
trialGpuNumber: 0
trialConcurrency: 2
maxExperimentDuration: 15m
maxTrialNumber: 4
tuner:
name: Random
trainingService:
platform: local
assessor:
name: ... | 373 | 19.777778 | 58 | yml |
nni | nni-master/test/training_service/config/examples/mnist-tfv2.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ./mnist_search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: ../../../../examples/trials/mnist-tfv2
... | 439 | 18.130435 | 49 | yml |
nni | nni-master/test/training_service/config/examples/sklearn-classification-v2.yml | experimentName: default_test
searchSpaceFile: ../../../../examples/trials/sklearn/classification/search_space.json
trialCommand: python3 main.py
trialCodeDirectory: ../../../../examples/trials/sklearn/classification
trialGpuNumber: 0
trialConcurrency: 2
maxExperimentDuration: 15m
maxTrialNumber: 4
tuner:
name: Random... | 426 | 24.117647 | 85 | yml |
nni | nni-master/test/training_service/config/examples/sklearn-classification.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ../../../../examples/trials/sklearn/classification/search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeD... | 505 | 20.083333 | 85 | yml |
nni | nni-master/test/training_service/config/examples/sklearn-regression-v2.yml | experimentName: default_test
searchSpaceFile: ../../../../examples/trials/sklearn/regression/search_space.json
trialCommand: python3 main.py
trialCodeDirectory: ../../../../examples/trials/sklearn/regression
trialGpuNumber: 0
trialConcurrency: 2
maxExperimentDuration: 15m
maxTrialNumber: 4
tuner:
name: Random
trainin... | 419 | 22.333333 | 81 | yml |
nni | nni-master/test/training_service/config/examples/sklearn-regression.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ../../../../examples/trials/sklearn/regression/search_space.json
tuner:
builtinTunerName: Random
assessor:
builtinAssessorName: Medianstop
classArgs:
optimize_mode: maximize
trial:
codeDir: ... | 497 | 19.75 | 81 | yml |
nni | nni-master/test/training_service/config/metrics_test/config-v2.yml | experimentName: default_test
searchSpaceFile: ./search_space.json
trialCommand: python3 trial.py
trialCodeDirectory: .
trialGpuNumber: 0
trialConcurrency: 1
maxExperimentDuration: 15m
maxTrialNumber: 1
tuner:
name: Random
trainingService:
platform: local
assessor:
name: Medianstop
classArgs:
optimize_mode: ... | 329 | 18.411765 | 36 | yml |
nni | nni-master/test/training_service/config/metrics_test/config.yml | authorName: nni
experimentName: default_test
maxExecDuration: 3m
maxTrialNum: 1
trialConcurrency: 1
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: Random
trial:
codeDir: .
command: python3 trial.py
gpuNum: 0
useAnnotation: false
multiPhase: false
multiThread: false
trainingServicePlatform: lo... | 324 | 14.47619 | 36 | yml |
nni | nni-master/test/training_service/config/metrics_test/config_dict_metrics-v2.yml | experimentName: default_test
searchSpaceFile: ./search_space.json
trialCommand: python3 trial.py --dict_metrics
trialCodeDirectory: .
trialGpuNumber: 0
trialConcurrency: 1
maxExperimentDuration: 15m
maxTrialNumber: 1
tuner:
name: Random
trainingService:
platform: local
assessor:
name: Medianstop
classArgs:
... | 344 | 19.294118 | 45 | yml |
nni | nni-master/test/training_service/config/metrics_test/config_dict_metrics.yml | authorName: nni
experimentName: default_test
maxExecDuration: 3m
maxTrialNum: 1
trialConcurrency: 1
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: Random
trial:
codeDir: .
command: python3 trial.py --dict_metrics
gpuNum: 0
useAnnotation: false
multiPhase: false
multiThread: false
trainingServ... | 339 | 15.190476 | 42 | yml |
nni | nni-master/test/training_service/config/metrics_test/config_failure-v2.yml | experimentName: default_test
searchSpaceFile: ./search_space.json
trialCommand: python3 not_exist.py
trialCodeDirectory: .
trialGpuNumber: 0
trialConcurrency: 1
maxExperimentDuration: 15m
maxTrialNumber: 1
tuner:
name: Random
trainingService:
platform: local
assessor:
name: Medianstop
classArgs:
optimize_mo... | 334 | 17.611111 | 36 | yml |
nni | nni-master/test/training_service/config/metrics_test/config_failure.yml | authorName: nni
experimentName: default_test
maxExecDuration: 3m
maxTrialNum: 1
trialConcurrency: 1
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: Random
trial:
codeDir: .
command: python3 not_exist.py
gpuNum: 0
useAnnotation: false
multiPhase: false
multiThread: false
trainingServicePlatform... | 328 | 14.666667 | 36 | yml |
nni | nni-master/test/training_service/config/metrics_test/trial.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import time
import json
import argparse
import nni
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("--dict_metrics", action='store_true')
args = parser.parse_args()
if args.dict_metrics:
... | 818 | 25.419355 | 62 | py |
nni | nni-master/test/training_service/config/multi_phase/batch.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 2
trialConcurrency: 2
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: BatchTuner
trial:
codeDir: .
command: python3 multi_phase.py
gpuNum: 0
useAnnotation: false
multiPhase: true
multiThread: false
trainingServicePla... | 333 | 14.904762 | 36 | yml |
nni | nni-master/test/training_service/config/multi_phase/evolution.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 8
trialConcurrency: 4
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: Evolution
classArgs:
optimize_mode: maximize
trial:
codeDir: .
command: python3 multi_phase.py
gpuNum: 0
useAnnotation: false
multiPhase: tru... | 373 | 15.26087 | 36 | yml |
nni | nni-master/test/training_service/config/multi_phase/grid.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 2
trialConcurrency: 2
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: GridSearch
trial:
codeDir: .
command: python3 multi_phase.py
gpuNum: 0
useAnnotation: false
multiPhase: true
multiThread: false
trainingServicePla... | 333 | 14.904762 | 36 | yml |
nni | nni-master/test/training_service/config/multi_phase/metis.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 4
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: MetisTuner
classArgs:
optimize_mode: maximize
trial:
codeDir: .
command: python3 multi_phase.py
gpuNum: 0
useAnnotation: false
multiPhase: tr... | 374 | 15.304348 | 36 | yml |
nni | nni-master/test/training_service/config/multi_phase/multi_phase.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import time
import nni
if __name__ == '__main__':
for i in range(5):
hyper_params = nni.get_next_parameter()
print('hyper_params:[{}]'.format(hyper_params))
if hyper_params is None:
break
nni.repor... | 364 | 23.333333 | 55 | py |
nni | nni-master/test/training_service/config/multi_phase/tpe.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 4
searchSpacePath: ./search_space.json
tuner:
builtinTunerName: TPE
classArgs:
optimize_mode: maximize
trial:
codeDir: .
command: python3 multi_phase.py
gpuNum: 0
useAnnotation: false
multiPhase: true
mult... | 367 | 15 | 36 | yml |
nni | nni-master/test/training_service/config/multi_thread/config.yml | authorName: nni
experimentName: default_test
maxExecDuration: 5m
maxTrialNum: 4
trialConcurrency: 2
searchSpacePath: ./search_space.json
tuner:
codeDir: .
classFileName: multi_thread_tuner.py
className: MultiThreadTuner
trial:
codeDir: .
command: python3 multi_thread_trial.py
gpuNum: 0
useAnnotation: fal... | 391 | 16.043478 | 40 | yml |
nni | nni-master/test/training_service/config/multi_thread/multi_thread_trial.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import nni
import time
if __name__ == '__main__':
nni.get_next_parameter()
time.sleep(3)
nni.report_final_result(0.5)
| 205 | 17.727273 | 38 | py |
nni | nni-master/test/training_service/config/multi_thread/multi_thread_tuner.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import logging
import time
from nni.tuner import Tuner
class MultiThreadTuner(Tuner):
def __init__(self):
self.parent_done = False
def generate_parameters(self, parameter_id, **kwargs):
logging.debug('generate_parameter... | 972 | 30.387097 | 99 | py |
nni | nni-master/test/training_service/config/naive_test/README.md | ## Usage
* To test before installing:
`python3 run.py --preinstall`
* To test the integrity of installation:
`python3 run.py`
* It will print `PASS` in green eventually if everything works well.
## Details
* This test case tests the communication between trials and tuner/assessor.
* The naive trials receive an intege... | 1,061 | 52.1 | 139 | md |
nni | nni-master/test/training_service/config/naive_test/README_zh_CN.md | ## 用法
* 安装前测试： `python3 run.py --preinstall`
* 安装的集成测试： `python3 run.py`
* 如果没有问题，最终会打印绿色的 `PASS`。
## 详细说明
* 这是测试 Trial 和 Tuner、Assessor 之间通信的测试用例。
* Trial 会收到整数 `x` 作为参数，并返回 `x`, `x²`, `x³`, ... , `x¹⁰` 作为指标。
* Tuner 会简单的生成自然数序列，并将收到的指标输出到 `tuner_result.txt`。
* 当 `sum(metrics) % 11 == 1` 时，Assessor 会终止 Trial，并将终止的 T... | 558 | 30.055556 | 88 | md |
nni | nni-master/test/training_service/config/naive_test/local.yml | authorName: nni
experimentName: naive
trialConcurrency: 3
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote
trainingServicePlatform: local
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
codeDir: .
classFileName: naive_tuner.py
className: NaiveTuner
classArgs... | 564 | 19.925926 | 36 | yml |
nni | nni-master/test/training_service/config/naive_test/naive_assessor.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import logging
import os
from nni.assessor import Assessor, AssessResult
_logger = logging.getLogger('NaiveAssessor')
_logger.info('start')
_pwd = os.path.dirname(__file__)
_result = open(os.path.join(_pwd, 'assessor_result.txt'), 'w')
class ... | 1,116 | 24.386364 | 71 | py |
nni | nni-master/test/training_service/config/naive_test/naive_trial.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import time
import nni
params = nni.get_next_parameter()
print('params:', params)
x = params['x']
time.sleep(1)
for i in range(1, 10):
nni.report_intermediate_result(x ** i)
time.sleep(0.5)
nni.report_final_result(x ** 10)
| 309 | 16.222222 | 42 | py |
nni | nni-master/test/training_service/config/naive_test/naive_tuner.py | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import json
import logging
import os
from nni.tuner import Tuner
from nni.utils import extract_scalar_reward
_logger = logging.getLogger('NaiveTuner')
_logger.info('start')
_pwd = os.path.dirname(__file__)
_result = open(os.path.join(_pwd, 'tu... | 1,300 | 28.568182 | 90 | py |
nni | nni-master/test/training_service/config/naive_trial/naive_trial.py | import time
import nni
if __name__ == '__main__':
print('trial start')
params = nni.get_next_parameter()
print('params:', params)
epochs = 2
for i in range(epochs):
nni.report_intermediate_result(0.1 * (i+1))
time.sleep(1)
nni.report_final_result(0.8)
print('trial done')
| 318 | 20.266667 | 51 | py |
nni | nni-master/test/training_service/config/naive_trial/trial.py | import random
import time
import math
import nni
curve_func = {
0: lambda x: x,
1: lambda x: x * x,
2: lambda x: math.pow(x, 0.5),
3: lambda x: math.tanh(x)
}
if __name__ == '__main__':
print('trial start')
params = nni.get_next_parameter()
print('params:', params)
epochs = 20
fo... | 611 | 19.4 | 48 | py |
nni | nni-master/test/training_service/config/naive_trial/trial_choices.py | import random
import nni
if __name__ == '__main__':
print('trial start')
params = nni.get_next_parameter()
print('params:', params)
nni.report_intermediate_result(random.random())
nni.report_final_result(random.random())
print('trial done')
| 269 | 18.285714 | 51 | py |