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
values |
|---|---|---|---|---|---|---|
nni | nni-master/examples/trials/cifar10_pytorch/main.py | '''Train CIFAR10 with PyTorch.'''
from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
import torchvision.transforms as transforms
import os
import argparse
import lo... | 6,165 | 29.078049 | 112 | py |
nni | nni-master/examples/trials/cifar10_pytorch/main_adl.py | # Copyright 2020 Petuum, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 6,265 | 35.643275 | 129 | py |
nni | nni-master/examples/trials/cifar10_pytorch/utils.py | '''Some helper functions for PyTorch, including:
- get_mean_and_std: calculate the mean and std value of dataset.
- msr_init: net parameter initialization.
- progress_bar: progress bar mimic xlua.progress.
'''
import os
import sys
import time
import torch
import torch.nn as nn
import torch.nn.init as init
... | 3,508 | 26.414063 | 96 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/__init__.py | from .vgg import *
from .densenet import *
from .dpn import *
from .googlenet import *
from .lenet import *
from .mobilenet import *
from .pnasnet import *
from .resnet import *
from .senet import *
from .shufflenet import *
| 226 | 17.916667 | 25 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/densenet.py | '''DenseNet in PyTorch.'''
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class Bottleneck(nn.Module):
def __init__(self, in_planes, growth_rate):
super(Bottleneck, self).__init__()
self.bn1 = nn.BatchNorm2d(in_planes)
self.conv1 = nn.Conv2d(in_planes, 4*gr... | 3,542 | 31.805556 | 96 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/dpn.py | '''Dual Path Networks in PyTorch.'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class Bottleneck(nn.Module):
def __init__(self, last_planes, in_planes, out_planes, dense_depth, stride, first_layer):
super(Bottleneck, self).__init__()
self.out_planes = out_planes
sel... | 3,562 | 34.989899 | 116 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/googlenet.py | '''GoogLeNet with PyTorch.'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class Inception(nn.Module):
def __init__(self, in_planes, n1x1, n3x3red, n3x3, n5x5red, n5x5, pool_planes):
super(Inception, self).__init__()
# 1x1 conv branch
self.b1 = nn.Sequential(
... | 3,221 | 28.833333 | 83 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/lenet.py | '''LeNet in PyTorch.'''
import torch.nn as nn
import torch.nn.functional as F
class LeNet(nn.Module):
def __init__(self):
super(LeNet, self).__init__()
self.conv1 = nn.Conv2d(3, 6, 5)
self.conv2 = nn.Conv2d(6, 16, 5)
self.fc1 = nn.Linear(16*5*5, 120)
self.fc2 = nn.Linear... | 699 | 28.166667 | 43 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/mobilenet.py | '''MobileNet in PyTorch.
See the paper "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
for more details.
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class Block(nn.Module):
'''Depthwise conv + Pointwise conv'''
def __init__(self, in_planes, out_... | 2,025 | 31.677419 | 123 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/mobilenetv2.py | '''MobileNetV2 in PyTorch.
See the paper "Inverted Residuals and Linear Bottlenecks:
Mobile Networks for Classification, Detection and Segmentation" for more details.
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class Block(nn.Module):
'''expand + depthwise + pointwise'''
def __init... | 3,092 | 34.551724 | 114 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/pnasnet.py | '''PNASNet in PyTorch.
Paper: Progressive Neural Architecture Search
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class SepConv(nn.Module):
'''Separable Convolution.'''
def __init__(self, in_planes, out_planes, kernel_size, stride):
super(SepConv, self).__init__()
se... | 4,258 | 32.801587 | 105 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/preact_resnet.py | '''Pre-activation ResNet in PyTorch.
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Identity Mappings in Deep Residual Networks. arXiv:1603.05027
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class PreActBlock(nn.Module):
'''Pre-activation version of the BasicBlock.... | 4,078 | 33.277311 | 102 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/resnet.py | '''ResNet in PyTorch.
For Pre-activation ResNet, see 'preact_resnet.py'.
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class BasicBlock(nn.Module):
expansi... | 4,005 | 31.836066 | 102 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/resnext.py | '''ResNeXt in PyTorch.
See the paper "Aggregated Residual Transformations for Deep Neural Networks" for more details.
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class Block(nn.Module):
'''Grouped convolution block.'''
expansion = 2
def __init__(self, in_planes, cardinality=32... | 3,478 | 35.239583 | 129 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/senet.py | '''SENet in PyTorch.
SENet is the winner of ImageNet-2017. The paper is not released yet.
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class BasicBlock(nn.Module):
def __init__(self, in_planes, planes, stride=1):
super(BasicBlock, self).__init__()
self.conv1 = nn.Conv2d(... | 4,027 | 32.016393 | 102 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/shufflenet.py | '''ShuffleNet in PyTorch.
See the paper "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices" for more details.
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
class ShuffleBlock(nn.Module):
def __init__(self, groups):
super(ShuffleBlock, self).__init... | 3,551 | 31.290909 | 126 | py |
nni | nni-master/examples/trials/cifar10_pytorch/models/vgg.py | '''VGG11/13/16/19 in Pytorch.'''
import torch
import torch.nn as nn
cfg = {
'VGG11': [64, 'M', 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512, 'M'],
'VGG13': [64, 64, 'M', 128, 128, 'M', 256, 256, 'M', 512, 512, 'M', 512, 512, 'M'],
'VGG16': [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 'M', 512, 512, 512... | 1,442 | 29.0625 | 117 | py |
nni | nni-master/examples/trials/efficientnet/README.md | [Documentation](https://nni.readthedocs.io/en/latest/TrialExample/EfficientNet.html)
| 85 | 42 | 84 | md |
nni | nni-master/examples/trials/efficientnet/README_zh_CN.md | [文档](https://nni.readthedocs.io/zh/latest/TrialExample/EfficientNet.html) | 73 | 73 | 73 | md |
nni | nni-master/examples/trials/efficientnet/config.yml | searchSpaceFile: search_net.json
trialCodeDirectory: EfficientNet-PyTorch
trialCommand: python3 main.py /data/imagenet -j 12 -a efficientnet --batch-size 48 --lr 0.048 --wd 1e-5 --epochs 5 --request-from-nni
trialGpuNumber: 1
trialConcurrency: 4
maxTrialNumber: 100
tuner:
className: tuner.FixedProductTuner
codeDire... | 709 | 43.375 | 140 | yml |
nni | nni-master/examples/trials/efficientnet/config_windows.yml | searchSpaceFile: search_net.json
trialCodeDirectory: EfficientNet-PyTorch
trialCommand: python main.py /data/imagenet -j 12 -a efficientnet --batch-size 48 --lr 0.048 --wd 1e-5 --epochs 5 --request-from-nni
trialGpuNumber: 1
trialConcurrency: 4
maxTrialNumber: 100
tuner:
className: tuner.FixedProductTuner
codeDirec... | 708 | 43.3125 | 140 | yml |
nni | nni-master/examples/trials/efficientnet/tuner.py | from nni.algorithms.hpo.gridsearch_tuner import GridSearchTuner
class FixedProductTuner(GridSearchTuner):
"""
This tuner is essentially grid search, but it guarantees all the parameters with alpha * beta^2 * gamma^2 is
approximately `product`.
"""
def __init__(self, product):
"""
... | 985 | 31.866667 | 112 | py |
nni | nni-master/examples/trials/ga_squad/README.md | # Automatic Model Architecture Search for Reading Comprehension
This example shows us how to use Genetic Algorithm to find good model architectures for Reading Comprehension task.
## Search Space
Since attention and recurrent neural network (RNN) module have been proven effective in Reading Comprehension.
We conclude ... | 10,570 | 33.210356 | 238 | md |
nni | nni-master/examples/trials/ga_squad/README_zh_CN.md | # 在阅读理解上使用自动模型架构搜索
该示例展示了如何使用遗传算法为阅读理解任务找到好的模型架构。
## 搜索空间
对于阅读理解项目，注意力和循环神经网络（RNN）模块已经被证明非常有效。 使用的搜索空间如下：
1. IDENTITY (Effectively 表示继续训练)。
2. INSERT-RNN-LAYER (插入 LSTM。 在 Experiment 中比较了 GRU 和 LSTM 的性能后，我们决定在这里采用 LSTM。)
3. REMOVE-RNN-LAYER
4. INSERT-ATTENTION-LAYER (插入注意力层。)
5. REMOVE-ATTENTION-LAYER
6. ADD-SKIP (... | 8,152 | 26.086379 | 105 | md |
nni | nni-master/examples/trials/ga_squad/attention.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... | 6,468 | 37.278107 | 100 | py |
nni | nni-master/examples/trials/ga_squad/config.yml | trialCommand: python3 trial.py
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
maxExperimentDuration: 1h
searchSpace: {} # hard-coded in tuner
tuner:
className: customer_tuner.CustomerTuner
codeDirectory: ../../tuners/ga_customer_tuner
classArgs:
optimize_mode: maximize
trainingService: # For other... | 378 | 26.071429 | 68 | yml |
nni | nni-master/examples/trials/ga_squad/config_windows.yml | trialCommand: python trial.py
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
maxExperimentDuration: 1h
searchSpace: {} # hard-coded in tuner
tuner:
className: customer_tuner.CustomerTuner
codeDirectory: ../../tuners/ga_customer_tuner
classArgs:
optimize_mode: maximize
trainingService: # For other ... | 377 | 26 | 68 | yml |
nni | nni-master/examples/trials/ga_squad/data.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... | 9,001 | 32.589552 | 100 | py |
nni | nni-master/examples/trials/ga_squad/download.sh | #!/bin/bash
wget https://rajpurkar.github.io/SQuAD-explorer/dataset/train-v1.1.json
wget https://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v1.1.json
wget http://nlp.stanford.edu/data/glove.840B.300d.zip
unzip glove.840B.300d.zip | 234 | 38.166667 | 71 | sh |
nni | nni-master/examples/trials/ga_squad/evaluate.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... | 5,829 | 35.4375 | 100 | py |
nni | nni-master/examples/trials/ga_squad/graph.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... | 10,200 | 34.420139 | 100 | py |
nni | nni-master/examples/trials/ga_squad/graph_to_tf.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... | 13,808 | 39.734513 | 100 | py |
nni | nni-master/examples/trials/ga_squad/rnn.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... | 4,291 | 35.067227 | 100 | py |
nni | nni-master/examples/trials/ga_squad/train_model.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... | 12,036 | 44.422642 | 100 | py |
nni | nni-master/examples/trials/ga_squad/trial.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 t... | 16,810 | 36.274945 | 104 | py |
nni | nni-master/examples/trials/ga_squad/util.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 t... | 2,157 | 27.025974 | 100 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/README.md | ## 33rd place solution code for Kaggle [TGS Salt Identification Chanllenge](https://www.kaggle.com/c/tgs-salt-identification-challenge)
This example shows how to enable AutoML for competition code by running it on NNI without any code change.
To run this code on NNI, firstly you need to run it standalone, then configu... | 1,722 | 29.22807 | 136 | md |
nni | nni-master/examples/trials/kaggle-tgs-salt/README_zh_CN.md | ## Kaggle 比赛 [TGS Salt Identification Chanllenge](https://www.kaggle.com/c/tgs-salt-identification-challenge) 第 33 名的解决方案
本示例展示了如何不改动代码的情况下通过 NNI 来为竞赛代码使用自动机器学习。 要在 NNI 上运行此代码，首先需要单独运行它，然后配置 config.yml：
nnictl create --config config.yml
此代码仍然能够单独运行，但需要至少一周来重现竞赛的结果。
[解决方案概述](https://www.kaggle.com/c/tgs-sal... | 1,212 | 23.26 | 128 | md |
nni | nni-master/examples/trials/kaggle-tgs-salt/augmentation.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... | 8,611 | 34.586777 | 127 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/config.yml | useAnnotation: true
trialCommand: python3 train.py
trialGpuNumber: 0
trialConcurrency: 2
maxTrialNumber: 10
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService: # For other platforms, check mnist-pytorch example
platform: local
| 255 | 20.333333 | 68 | yml |
nni | nni-master/examples/trials/kaggle-tgs-salt/config_windows.yml | useAnnotation: true
trialCommand: python train.py
trialGpuNumber: 0
trialConcurrency: 2
maxTrialNumber: 10
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService: # For other platforms, check mnist-pytorch example
platform: local
| 254 | 20.25 | 68 | yml |
nni | nni-master/examples/trials/kaggle-tgs-salt/focal_loss.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... | 2,879 | 35.923077 | 100 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/loader.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... | 10,984 | 36.619863 | 155 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/lovasz_losses.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... | 8,655 | 33.213439 | 128 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/metrics.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... | 2,944 | 33.244186 | 100 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/models.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... | 24,976 | 39.091493 | 125 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/postprocessing.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... | 2,524 | 39.079365 | 105 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/predict.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... | 7,947 | 38.542289 | 128 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/preprocess.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... | 4,061 | 42.212766 | 156 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/settings.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... | 1,736 | 37.6 | 100 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/train.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... | 11,118 | 41.930502 | 142 | py |
nni | nni-master/examples/trials/kaggle-tgs-salt/utils.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... | 6,401 | 34.566667 | 112 | py |
nni | nni-master/examples/trials/mnist-advisor/config_bohb.yml | # Run following command first to install dependencies of BOHB tuner:
# $ python3 -m pip install nni[BOHB]
searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 1
maxExperimentDuration: 10h
maxTrialNumber: 1000
advisor:
name: BOHB
classArgs:
max_budget: 27
m... | 459 | 23.210526 | 68 | yml |
nni | nni-master/examples/trials/mnist-advisor/config_hyperband.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 2
maxExperimentDuration: 100h
maxTrialNumber: 10000
advisor:
name: Hyperband
classArgs:
R: 100 # the maximum trial budget (could be the number of mini-batches or epochs) can be
... | 681 | 39.117647 | 117 | yml |
nni | nni-master/examples/trials/mnist-advisor/mnist.py | """A deep MNIST classifier using convolutional layers."""
import argparse
import logging
import math
import tempfile
import time
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
import nni
FLAGS = None
logger = logging.getLogger('mnist_AutoML')
class MnistNetwork(object):
''... | 9,524 | 38.6875 | 114 | py |
nni | nni-master/examples/trials/mnist-batch-tune-keras/config.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist-keras.py
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
maxExperimentDuration: 1h
tuner:
name: BatchTuner
trainingService: # For other platforms, check mnist-pytorch example
platform: local
| 268 | 23.454545 | 68 | yml |
nni | nni-master/examples/trials/mnist-batch-tune-keras/config_windows.yml | searchSpaceFile: search_space.json
trialCommand: python mnist-keras.py
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
maxExperimentDuration: 1h
tuner:
name: BatchTuner
trainingService: # For other platforms, check mnist-pytorch example
platform: local
| 267 | 23.363636 | 68 | yml |
nni | nni-master/examples/trials/mnist-batch-tune-keras/mnist-keras.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 ... | 5,135 | 36.217391 | 137 | py |
nni | nni-master/examples/trials/mnist-distributed-pytorch/config_kubeflow.yml | authorName: default
experimentName: example_mnist_distributed_pytorch
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai, kubeflow
trainingServicePlatform: kubeflow
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolut... | 961 | 22.463415 | 52 | yml |
nni | nni-master/examples/trials/mnist-distributed-pytorch/dist_mnist.py | # Copyright 2018 The Kubeflow Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | 5,266 | 29.097143 | 102 | py |
nni | nni-master/examples/trials/mnist-distributed-tfv1/config_kubeflow.yml | authorName: default
experimentName: example_mnist
trialConcurrency: 2
maxExecDuration: 1h
maxTrialNum: 20
#choice: local, remote, pai, kubeflow
trainingServicePlatform: kubeflow
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution
builtinTunerNa... | 1,032 | 21.456522 | 52 | yml |
nni | nni-master/examples/trials/mnist-distributed-tfv1/dist_mnist.py | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 13,585 | 37.270423 | 86 | py |
nni | nni-master/examples/trials/mnist-keras/config.yml | authorName: default
experimentName: example_mnist-keras
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: local
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner... | 534 | 23.318182 | 65 | yml |
nni | nni-master/examples/trials/mnist-keras/config_pai.yml | authorName: default
experimentName: example_mnist-keras
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: pai
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner
... | 974 | 26.857143 | 65 | yml |
nni | nni-master/examples/trials/mnist-keras/config_windows.yml | authorName: default
experimentName: example_mnist-keras
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: local
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner... | 533 | 23.272727 | 65 | yml |
nni | nni-master/examples/trials/mnist-keras/mnist-keras.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 ... | 5,167 | 36.449275 | 137 | py |
nni | nni-master/examples/trials/mnist-nested-search-space/config.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 2
maxTrialNumber: 100
maxExperimentDuration: 1h
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService: # For other platforms, check mnist-pytorch example
platform: local
useActiveGpu: false ... | 556 | 36.133333 | 134 | yml |
nni | nni-master/examples/trials/mnist-nested-search-space/config_windows.yml | searchSpaceFile: search_space.json
trialCommand: python mnist.py
trialGpuNumber: 0
trialConcurrency: 2
maxTrialNumber: 100
maxExperimentDuration: 1h
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService: # For other platforms, check mnist-pytorch example
platform: local
useActiveGpu: false #... | 555 | 36.066667 | 134 | yml |
nni | nni-master/examples/trials/mnist-nested-search-space/mnist.py | '''
mnist.py is an example to show: how to use iterative search space to tune architecture network for mnist.
'''
from __future__ import absolute_import, division, print_function
import logging
import math
import tempfile
import time
import argparse
import tensorflow as tf
from tensorflow.examples.tutorials.mnist imp... | 6,134 | 33.661017 | 114 | py |
nni | nni-master/examples/trials/mnist-pbt-tuner-pytorch/config.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 1
trialConcurrency: 3
maxTrialNumber: 100
maxExperimentDuration: 2h
tuner:
name: PBTTuner
classArgs:
optimize_mode: maximize
trainingService: # For other platforms, check mnist-pytorch example
platform: local
useActiveGpu: fa... | 561 | 36.466667 | 134 | yml |
nni | nni-master/examples/trials/mnist-pbt-tuner-pytorch/config_windows.yml | searchSpaceFile: search_space.json
trialCommand: python mnist.py
trialGpuNumber: 1
trialConcurrency: 3
maxTrialNumber: 100
maxExperimentDuration: 2h
tuner:
name: PBTTuner
classArgs:
optimize_mode: maximize
trainingService: # For other platforms, check mnist-pytorch example
platform: local
useActiveGpu: fal... | 560 | 36.4 | 134 | yml |
nni | nni-master/examples/trials/mnist-pbt-tuner-pytorch/mnist.py | import argparse
import logging
import os
import nni
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
logger = logging.getLogger('mnist_pbt_tuner_pytorch_AutoML')
class Net(nn.Module):
def __init__(self):
super(Net... | 6,658 | 35.190217 | 87 | py |
nni | nni-master/examples/trials/mnist-pytorch/config.yml | # This is the minimal config file for an NNI experiment.
# Use "nnictl create --config config.yml" to launch this experiment.
# Afterwards, you can check "config_detailed.yml" for more explanation.
searchSpaceFile: search_space.json
trialCommand: python3 mnist.py # NOTE: change "python3" to "python" if you are using ... | 461 | 29.8 | 93 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_adl.yml | authorName: default
experimentName: example_mnist_pytorch
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
nniManagerIp: {replace_with_your_ip}
logCollection: http
trainingServicePlatform: adl
searchSpacePath: search_space.json
useAnnotation: false
tuner:
builtinTunerName: TPE
classArgs:
optimize_mode: ... | 801 | 26.655172 | 87 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_aml.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialConcurrency: 1
maxTrialNumber: 10
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: aml
dockerImage: msranni/nni
subscriptionId: ${your subscription ID}
resourceGroup: ${your resource group}
workspaceNa... | 387 | 23.25 | 41 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_assessor.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py # NOTE: change "python3" to "python" if you are using Windows
trialGpuNumber: 0
trialConcurrency: 4
maxTrialNumber: 20
tuner:
name: TPE
classArgs:
optimize_mode: maximize
assessor:
name: Curvefitting
classArgs:
epoch_num: 20
threshol... | 362 | 20.352941 | 93 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_detailed.yml | # This example shows more configurable fields comparing to the minimal "config.yml"
# You can use "nnictl create --config config_detailed.yml" to launch this experiment.
# If you see an error message saying "port 8080 is used", use "nnictl stop --all" to stop previous experiments.
experimentName: MNIST # An ... | 2,355 | 51.355556 | 139 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_dlc.yml | # working directory on DSW, please provie FULL path
searchSpaceFile: search_space.json
# the command on trial runner(or, DLC container), be aware of data_dir
trialCommand: python mnist.py --data_dir /root/data/{your_data_dir}
trialConcurrency: 1 # NOTE: please provide number <= 3 due to DLC system limit.
maxTrialNumbe... | 1,273 | 46.185185 | 119 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_dlc_resource.yml | # working directory on DSW, please provie FULL path
searchSpaceFile: search_space.json
# the command on trial runner(or, DLC container), be aware of data_dir
trialCommand: python mnist.py --data_dir /root/data/{your_data_dir}
trialConcurrency: 1 # NOTE: please provide number <= 3 due to DLC system limit.
maxTrialNumbe... | 1,393 | 50.62963 | 143 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_frameworkcontroller.yml | authorName: default
experimentName: example_mnist_pytorch
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai, kubeflow
trainingServicePlatform: frameworkcontroller
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evoluti... | 1,044 | 25.125 | 74 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_frameworkcontroller_custom.yml | authorName: default
experimentName: example_mnist_pytorch
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
logLevel: trace
#choice: local, remote, pai, kubeflow
trainingServicePlatform: frameworkcontroller
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random,... | 699 | 22.333333 | 74 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_hybrid.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 5
maxTrialNumber: 20
tuner:
name: TPE
classArgs:
optimize_mode: maximize
# For local, remote, openpai, and aml, NNI can use multiple training services at one time
trainingService:
- platform: local
- platfo... | 682 | 27.458333 | 89 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_kubeflow.yml | authorName: default
experimentName: example_dist_pytorch
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 1
#choice: local, remote, pai, kubeflow
trainingServicePlatform: kubeflow
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTune... | 728 | 21.78125 | 74 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_openpai.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: openpai
host: http://123.123.123.123
username: ${your user name}
token: ${your token}
dockerImage: m... | 558 | 25.619048 | 72 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_remote.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 4
maxTrialNumber: 20
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: remote
machineList:
- host: ${your server's IP or domain name}
user: ${your user name}
ssh... | 864 | 33.6 | 165 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_tensorboard.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist_tensorboard.py # NOTE: change "python3" to "python" if you are using Windows
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: local
| 293 | 23.5 | 105 | yml |
nni | nni-master/examples/trials/mnist-pytorch/config_windows.yml | searchSpaceFile: search_space.json
trialCommand: python mnist.py
trialGpuNumber: 0
trialConcurrency: 1
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: local
| 198 | 17.090909 | 34 | yml |
nni | nni-master/examples/trials/mnist-pytorch/fc_template.yml | apiVersion: frameworkcontroller.microsoft.com/v1
kind: Framework
metadata:
name: pytorchcpu
namespace: default
spec:
executionType: Start
retryPolicy:
fancyRetryPolicy: true
maxRetryCount: 2
taskRoles:
- name: worker
taskNumber: 1
frameworkAttemptCompletionPolicy:
minFailedTaskCount: 1... | 1,408 | 27.18 | 55 | yml |
nni | nni-master/examples/trials/mnist-pytorch/mnist.py | """
A deep MNIST classifier using convolutional layers.
This file is a modification of the official pytorch mnist example:
https://github.com/pytorch/examples/blob/master/mnist/main.py
"""
import os
import argparse
import logging
import nni
import torch
import torch.nn as nn
import torch.nn.functional as F
import tor... | 6,077 | 35.39521 | 87 | py |
nni | nni-master/examples/trials/mnist-pytorch/mnist_tensorboard.py | """
A deep MNIST classifier using convolutional layers.
This file is a modification of the official pytorch mnist example:
https://github.com/pytorch/examples/blob/master/mnist/main.py
"""
import os
import argparse
import logging
import nni
import torch
import torch.nn as nn
import torch.nn.functional as F
import tor... | 6,351 | 35.505747 | 89 | py |
nni | nni-master/examples/trials/mnist-sharedstorage/config_azureblob.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: remote
machineList:
- host: ${your server's IP or domain name}
user: ${your user name}
ssh... | 1,806 | 45.333333 | 165 | yml |
nni | nni-master/examples/trials/mnist-sharedstorage/config_nfs.yml | searchSpaceFile: search_space.json
trialCommand: python3 mnist.py
trialGpuNumber: 0
trialConcurrency: 1
maxTrialNumber: 10
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
platform: remote
machineList:
- host: ${your server's IP or domain name}
user: ${your user name}
ssh... | 1,344 | 37.428571 | 165 | yml |
nni | nni-master/examples/trials/mnist-sharedstorage/mnist.py | """
A deep MNIST classifier using convolutional layers.
This file is a modification of the official pytorch mnist example:
https://github.com/pytorch/examples/blob/master/mnist/main.py
"""
import os
import argparse
import logging
import nni
import torch
import torch.nn as nn
import torch.nn.functional as F
import tor... | 6,077 | 35.39521 | 87 | py |
nni | nni-master/examples/trials/mnist-tfv1/config.yml | authorName: default
experimentName: example_mnist
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: local
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTu... | 531 | 23.181818 | 74 | yml |
nni | nni-master/examples/trials/mnist-tfv1/config_aml.yml | authorName: default
experimentName: example_mnist
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
trainingServicePlatform: aml
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
#SMAC (SMAC should be in... | 723 | 26.846154 | 74 | yml |
nni | nni-master/examples/trials/mnist-tfv1/config_assessor.yml | authorName: default
experimentName: example_mnist
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 50
#choice: local, remote
trainingServicePlatform: local
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
... | 658 | 22.535714 | 74 | yml |
nni | nni-master/examples/trials/mnist-tfv1/config_dlts.yml | debug: true
authorName: default
experimentName: example_mnist
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: dlts
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, Metis... | 950 | 26.171429 | 81 | yml |
nni | nni-master/examples/trials/mnist-tfv1/config_frameworkcontroller.yml | authorName: default
experimentName: example_mnist
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai, kubeflow
trainingServicePlatform: frameworkcontroller
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, Batc... | 1,036 | 24.925 | 74 | yml |
nni | nni-master/examples/trials/mnist-tfv1/config_hybrid.yml | authorName: default
experimentName: example_mnist
trialConcurrency: 3
maxExecDuration: 1h
maxTrialNum: 10
trainingServicePlatform: hybrid
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
#choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
#SMAC (SMAC should be... | 676 | 20.15625 | 74 | yml |
nni | nni-master/examples/trials/mnist-tfv1/config_hybrid_v2.yml | experimentName: example_mnist
trialConcurrency: 3
maxExperimentDuration: 1h
maxTrialNumber: 10
searchSpaceFile: search_space.json
trialCodeDirectory: .
trialCommand: python3 mnist.py
trialGpuNumber: 0
tuner:
name: TPE
classArgs:
optimize_mode: maximize
trainingService:
- platform: local
- platform: remote... | 493 | 18.76 | 54 | yml |