bag-of-tricks-colab.ipynb

Kernel: Python 3

Download the data from Kaggle

Please go to Kaggle and create an API key to download the data. Follow this guide to do it.

The code in the cells below will prompt you for the kaggle.json file you've downloaded from the Kaggle and do the rest of the connection establishing and data downloading.

! pip install -q kaggle

import os
from google.colab import files

if not os.path.exists("/root/.kaggle/kaggle.json"):
  files.upload()
  ! mkdir -p ~/.kaggle
  ! mv kaggle.json ~/.kaggle/ 
  ! chmod 600 ~/.kaggle/kaggle.json

Saving kaggle.json to kaggle.json

Check if everything is correct.

! kaggle datasets list

Warning: Looks like you're using an outdated API Version, please consider updating (server 1.5.6 / client 1.5.4)
ref                                                                 title                                                size  lastUpdated          downloadCount  
------------------------------------------------------------------  --------------------------------------------------  -----  -------------------  -------------  
anikannal/solar-power-generation-data                               Solar Power Generation Data                           2MB  2020-08-18 15:52:03            830  
ruchi798/bookcrossing-dataset                                       Book-Crossing: User review ratings                   25MB  2020-08-11 10:40:25            213  
nehaprabhavalkar/av-healthcare-analytics-ii                         AV : Healthcare Analytics II                          7MB  2020-08-29 03:40:10            350  
Cornell-University/arxiv                                            arXiv Dataset                                       880MB  2020-08-27 23:07:17           2298  
imoore/60k-stack-overflow-questions-with-quality-rate               60k Stack Overflow Questions with Quality Rating     21MB  2020-08-31 22:20:53             75  
tunguz/us-elections-dataset                                         US Elections Dataset                                  7MB  2020-08-28 15:19:03            293  
ihelon/lego-minifigures-classification                              LEGO Minifigures Classification                       5MB  2020-09-02 19:35:20            148  
jerzydziewierz/bee-vs-wasp                                          Bee or wasp?                                        559MB  2020-08-23 18:07:47             38  
jayitabhattacharyya/face-match                                      face match                                          427MB  2020-08-29 07:38:53             30  
douglaskgaraujo/opportunity-insights-real-time-economic-tracker-us  Opportunity Insights real time Economic Tracker US   19MB  2020-08-30 20:37:18             43  
claytonmiller/interpretation-of-thermal-perception-scales           Interpretation of Thermal Perception Scales         737KB  2020-08-31 12:23:51             15  
jmmvutu/summer-products-and-sales-in-ecommerce-wish                 Sales of summer clothes in E-commerce Wish          376KB  2020-08-23 15:16:46           4158  
agirlcoding/all-space-missions-from-1957                            All Space Missions from 1957                        101KB  2020-08-13 16:18:58           2095  
gpreda/covid19-tweets                                               COVID19 Tweets                                       28MB  2020-08-30 09:38:38           3792  
landlord/handwriting-recognition                                    Handwriting Recognition                               1GB  2020-08-05 17:20:36            687  
jacobbaruch/basketball-players-stats-per-season-49-leagues          Basketball Players Stats per Season - 49 Leagues      2MB  2020-09-02 19:27:11            867  
google/tinyquickdraw                                                QuickDraw Sketches                                   11GB  2018-04-18 19:38:04           2254  
datasnaek/youtube-new                                               Trending YouTube Video Statistics                   201MB  2019-06-03 00:56:47         103009  
zynicide/wine-reviews                                               Wine Reviews                                         51MB  2017-11-27 17:08:04         111043  
datasnaek/chess                                                     Chess Game Dataset (Lichess)                          3MB  2017-09-04 03:09:09           8442  

Download Food-101 dataset.

if not os.path.exists('/content/food-101'):
  !kaggle datasets download -d dansbecker/food-101
  !unzip -o food-101.zip 
  !unzip -q food-101.zip -x food-101.zip 
  !rm food-101.zip

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Install packages

We have to install some extra packages

!pip install albumentations==0.4.6 pytorch-lightning==0.9.0

Collecting albumentations==0.4.6
  Downloading https://files.pythonhosted.org/packages/92/33/1c459c2c9a4028ec75527eff88bc4e2d256555189f42af4baf4d7bd89233/albumentations-0.4.6.tar.gz (117kB)
     |████████████████████████████████| 122kB 6.8MB/s 
Collecting pytorch-lightning==0.9.0
  Downloading https://files.pythonhosted.org/packages/ed/af/2f10c8ee22d7a05fe8c9be58ad5c55b71ab4dd895b44f0156bfd5535a708/pytorch_lightning-0.9.0-py3-none-any.whl (408kB)
     |████████████████████████████████| 409kB 13.0MB/s 
Requirement already satisfied: numpy>=1.11.1 in /usr/local/lib/python3.6/dist-packages (from albumentations==0.4.6) (1.18.5)
Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from albumentations==0.4.6) (1.4.1)
Collecting imgaug>=0.4.0
  Downloading https://files.pythonhosted.org/packages/66/b1/af3142c4a85cba6da9f4ebb5ff4e21e2616309552caca5e8acefe9840622/imgaug-0.4.0-py2.py3-none-any.whl (948kB)
     |████████████████████████████████| 952kB 17.7MB/s 
Requirement already satisfied: PyYAML in /usr/local/lib/python3.6/dist-packages (from albumentations==0.4.6) (3.13)
Requirement already satisfied: opencv-python>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from albumentations==0.4.6) (4.1.2.30)
Collecting future>=0.17.1
  Downloading https://files.pythonhosted.org/packages/45/0b/38b06fd9b92dc2b68d58b75f900e97884c45bedd2ff83203d933cf5851c9/future-0.18.2.tar.gz (829kB)
     |████████████████████████████████| 829kB 34.0MB/s 
Collecting tensorboard==2.2.0
  Downloading https://files.pythonhosted.org/packages/54/f5/d75a6f7935e4a4870d85770bc9976b12e7024fbceb83a1a6bc50e6deb7c4/tensorboard-2.2.0-py3-none-any.whl (2.8MB)
     |████████████████████████████████| 2.8MB 37.0MB/s 
Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning==0.9.0) (20.4)
Requirement already satisfied: torch>=1.3 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning==0.9.0) (1.6.0+cu101)
Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.6/dist-packages (from pytorch-lightning==0.9.0) (4.41.1)
Requirement already satisfied: Shapely in /usr/local/lib/python3.6/dist-packages (from imgaug>=0.4.0->albumentations==0.4.6) (1.7.1)
Requirement already satisfied: scikit-image>=0.14.2 in /usr/local/lib/python3.6/dist-packages (from imgaug>=0.4.0->albumentations==0.4.6) (0.16.2)
Requirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (from imgaug>=0.4.0->albumentations==0.4.6) (3.2.2)
Requirement already satisfied: Pillow in /usr/local/lib/python3.6/dist-packages (from imgaug>=0.4.0->albumentations==0.4.6) (7.0.0)
Requirement already satisfied: imageio in /usr/local/lib/python3.6/dist-packages (from imgaug>=0.4.0->albumentations==0.4.6) (2.4.1)
Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from imgaug>=0.4.0->albumentations==0.4.6) (1.15.0)
Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (3.12.4)
Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (0.4.1)
Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (2.23.0)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (0.35.1)
Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (49.6.0)
Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (0.8.1)
Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (3.2.2)
Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (1.17.2)
Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (1.31.0)
Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (1.7.0)
Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard==2.2.0->pytorch-lightning==0.9.0) (1.0.1)
Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->pytorch-lightning==0.9.0) (2.4.7)
Requirement already satisfied: PyWavelets>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->albumentations==0.4.6) (1.1.1)
Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->albumentations==0.4.6) (2.5)
Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->imgaug>=0.4.0->albumentations==0.4.6) (1.2.0)
Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->imgaug>=0.4.0->albumentations==0.4.6) (2.8.1)
Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->imgaug>=0.4.0->albumentations==0.4.6) (0.10.0)
Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard==2.2.0->pytorch-lightning==0.9.0) (1.3.0)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard==2.2.0->pytorch-lightning==0.9.0) (1.24.3)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard==2.2.0->pytorch-lightning==0.9.0) (2020.6.20)
Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard==2.2.0->pytorch-lightning==0.9.0) (3.0.4)
Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard==2.2.0->pytorch-lightning==0.9.0) (2.10)
Requirement already satisfied: importlib-metadata; python_version < "3.8" in /usr/local/lib/python3.6/dist-packages (from markdown>=2.6.8->tensorboard==2.2.0->pytorch-lightning==0.9.0) (1.7.0)
Requirement already satisfied: rsa<5,>=3.1.4; python_version >= "3" in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard==2.2.0->pytorch-lightning==0.9.0) (4.6)
Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard==2.2.0->pytorch-lightning==0.9.0) (0.2.8)
Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard==2.2.0->pytorch-lightning==0.9.0) (4.1.1)
Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.6/dist-packages (from networkx>=2.0->scikit-image>=0.14.2->imgaug>=0.4.0->albumentations==0.4.6) (4.4.2)
Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard==2.2.0->pytorch-lightning==0.9.0) (3.1.0)
Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata; python_version < "3.8"->markdown>=2.6.8->tensorboard==2.2.0->pytorch-lightning==0.9.0) (3.1.0)
Requirement already satisfied: pyasn1>=0.1.3 in /usr/local/lib/python3.6/dist-packages (from rsa<5,>=3.1.4; python_version >= "3"->google-auth<2,>=1.6.3->tensorboard==2.2.0->pytorch-lightning==0.9.0) (0.4.8)
Building wheels for collected packages: albumentations, future
  Building wheel for albumentations (setup.py) ... done
  Created wheel for albumentations: filename=albumentations-0.4.6-cp36-none-any.whl size=65165 sha256=f1388831849e604f28cb0146b55d6559321fe07aaaf29c4b91b22c35cd78cfb2
  Stored in directory: /root/.cache/pip/wheels/c7/f4/89/56d1bee5c421c36c1a951eeb4adcc32fbb82f5344c086efa14
  Building wheel for future (setup.py) ... done
  Created wheel for future: filename=future-0.18.2-cp36-none-any.whl size=491057 sha256=8b2136a49af61543a856d1bac301d381ac95d24aa39c098401fea0f0d1280cde
  Stored in directory: /root/.cache/pip/wheels/8b/99/a0/81daf51dcd359a9377b110a8a886b3895921802d2fc1b2397e
Successfully built albumentations future
ERROR: tensorflow 2.3.0 has requirement tensorboard<3,>=2.3.0, but you'll have tensorboard 2.2.0 which is incompatible.
ERROR: pytorch-lightning 0.9.0 has requirement PyYAML>=5.1, but you'll have pyyaml 3.13 which is incompatible.
Installing collected packages: imgaug, albumentations, future, tensorboard, pytorch-lightning
  Found existing installation: imgaug 0.2.9
    Uninstalling imgaug-0.2.9:
      Successfully uninstalled imgaug-0.2.9
  Found existing installation: albumentations 0.1.12
    Uninstalling albumentations-0.1.12:
      Successfully uninstalled albumentations-0.1.12
  Found existing installation: future 0.16.0
    Uninstalling future-0.16.0:
      Successfully uninstalled future-0.16.0
  Found existing installation: tensorboard 2.3.0
    Uninstalling tensorboard-2.3.0:
      Successfully uninstalled tensorboard-2.3.0
Successfully installed albumentations-0.4.6 future-0.18.2 imgaug-0.4.0 pytorch-lightning-0.9.0 tensorboard-2.2.0

Dataset Preparation

We are going to take 21 classes from the dataset. To split the dataset run the code below:

import os.path as osp
from shutil import copyfile
from tqdm.notebook import tqdm

classes = [
    "apple_pie",
    "bruschetta",
    "caesar_salad",
    "steak",
    "spring_rolls",
    "spaghetti_carbonara",
    "frozen_yogurt",
    "falafel",
    "mussels",
    "ramen",
    "onion_rings",
    "oysters",
    "risotto",
    "waffles",
    "cup_cakes",
    "grilled_cheese_sandwich",
    "fried_calamari",
    "huevos_rancheros",
    "croque_madame",
    "bread_pudding",
    "dumplings",
]
data_root = '/content/food-101/food-101'
assert osp.isdir(data_root)
assert "images" in os.listdir(data_root)
assert "meta" in os.listdir(data_root)
os.makedirs(osp.join(data_root, "train"), exist_ok=True)
os.makedirs(osp.join(data_root, "test"), exist_ok=True)
for cls_name in classes:
    os.makedirs(osp.join(data_root, "train", cls_name), exist_ok=True)
    os.makedirs(osp.join(data_root, "test", cls_name), exist_ok=True)
with open(osp.join(data_root, "meta", "train.txt"), "r") as file:
    for image in tqdm(file):
        image = image.rstrip()
        if image.split("/")[0] in classes:
            copyfile(
                osp.join(data_root, "images", image + ".jpg"),
                osp.join(data_root, "train", image + ".jpg"),
            )
with open(osp.join(data_root, "meta", "test.txt"), "r") as file:
    for image in tqdm(file):
        image = image.rstrip()
        if image.split("/")[0] in classes:
            copyfile(
                osp.join(data_root, "images", image + ".jpg"),
                osp.join(data_root, "test", image + ".jpg"),
            )

HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))

HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))

Apex Installation

Torch 1.6.0 has its own AMP for mixed-precision training. However, we are going to use Apex. Please, run the block below to install it:

!git clone https://github.com/NVIDIA/apex
%cd apex
!pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
%cd ..

Cloning into 'apex'...
remote: Enumerating objects: 7431, done.
remote: Total 7431 (delta 0), reused 0 (delta 0), pack-reused 7431
Receiving objects: 100% (7431/7431), 13.91 MiB | 13.73 MiB/s, done.
Resolving deltas: 100% (5023/5023), done.
/content/apex
/usr/local/lib/python3.6/dist-packages/pip/_internal/commands/install.py:283: UserWarning: Disabling all use of wheels due to the use of --build-options / --global-options / --install-options.
  cmdoptions.check_install_build_global(options)
Created temporary directory: /tmp/pip-ephem-wheel-cache-i2m8ug50
Created temporary directory: /tmp/pip-req-tracker-5zyf_ul2
Created requirements tracker '/tmp/pip-req-tracker-5zyf_ul2'
Created temporary directory: /tmp/pip-install-hid3au93
Processing /content/apex
  Created temporary directory: /tmp/pip-req-build-usombg2r
  Added file:///content/apex to build tracker '/tmp/pip-req-tracker-5zyf_ul2'
    Running setup.py (path:/tmp/pip-req-build-usombg2r/setup.py) egg_info for package from file:///content/apex
    Running command python setup.py egg_info


    torch.__version__  = 1.6.0+cu101


    running egg_info
    creating /tmp/pip-req-build-usombg2r/pip-egg-info/apex.egg-info
    writing /tmp/pip-req-build-usombg2r/pip-egg-info/apex.egg-info/PKG-INFO
    writing dependency_links to /tmp/pip-req-build-usombg2r/pip-egg-info/apex.egg-info/dependency_links.txt
    writing top-level names to /tmp/pip-req-build-usombg2r/pip-egg-info/apex.egg-info/top_level.txt
    writing manifest file '/tmp/pip-req-build-usombg2r/pip-egg-info/apex.egg-info/SOURCES.txt'
    writing manifest file '/tmp/pip-req-build-usombg2r/pip-egg-info/apex.egg-info/SOURCES.txt'
    /tmp/pip-req-build-usombg2r/setup.py:67: UserWarning: Option --pyprof not specified. Not installing PyProf dependencies!
      warnings.warn("Option --pyprof not specified. Not installing PyProf dependencies!")
  Source in /tmp/pip-req-build-usombg2r has version 0.1, which satisfies requirement apex==0.1 from file:///content/apex
  Removed apex==0.1 from file:///content/apex from build tracker '/tmp/pip-req-tracker-5zyf_ul2'
Skipping wheel build for apex, due to binaries being disabled for it.
Installing collected packages: apex
  Created temporary directory: /tmp/pip-record-77lhozzn
    Running command /usr/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-req-build-usombg2r/setup.py'"'"'; __file__='"'"'/tmp/pip-req-build-usombg2r/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' --cpp_ext --cuda_ext install --record /tmp/pip-record-77lhozzn/install-record.txt --single-version-externally-managed --compile


    torch.__version__  = 1.6.0+cu101


    /tmp/pip-req-build-usombg2r/setup.py:67: UserWarning: Option --pyprof not specified. Not installing PyProf dependencies!
      warnings.warn("Option --pyprof not specified. Not installing PyProf dependencies!")

    Compiling cuda extensions with
    nvcc: NVIDIA (R) Cuda compiler driver
    Copyright (c) 2005-2019 NVIDIA Corporation
    Built on Sun_Jul_28_19:07:16_PDT_2019
    Cuda compilation tools, release 10.1, V10.1.243
    from /usr/local/cuda/bin

    running install
    running build
    running build_py
    creating build
    creating build/lib.linux-x86_64-3.6
    creating build/lib.linux-x86_64-3.6/apex
    copying apex/__init__.py -> build/lib.linux-x86_64-3.6/apex
    creating build/lib.linux-x86_64-3.6/apex/mlp
    copying apex/mlp/__init__.py -> build/lib.linux-x86_64-3.6/apex/mlp
    copying apex/mlp/mlp.py -> build/lib.linux-x86_64-3.6/apex/mlp
    creating build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/LARC.py -> build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/__init__.py -> build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/sync_batchnorm_kernel.py -> build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/optimized_sync_batchnorm.py -> build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/distributed.py -> build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/sync_batchnorm.py -> build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/optimized_sync_batchnorm_kernel.py -> build/lib.linux-x86_64-3.6/apex/parallel
    copying apex/parallel/multiproc.py -> build/lib.linux-x86_64-3.6/apex/parallel
    creating build/lib.linux-x86_64-3.6/apex/optimizers
    copying apex/optimizers/fused_adam.py -> build/lib.linux-x86_64-3.6/apex/optimizers
    copying apex/optimizers/__init__.py -> build/lib.linux-x86_64-3.6/apex/optimizers
    copying apex/optimizers/fused_sgd.py -> build/lib.linux-x86_64-3.6/apex/optimizers
    copying apex/optimizers/fused_novograd.py -> build/lib.linux-x86_64-3.6/apex/optimizers
    copying apex/optimizers/fused_adagrad.py -> build/lib.linux-x86_64-3.6/apex/optimizers
    copying apex/optimizers/fused_lamb.py -> build/lib.linux-x86_64-3.6/apex/optimizers
    creating build/lib.linux-x86_64-3.6/apex/RNN
    copying apex/RNN/__init__.py -> build/lib.linux-x86_64-3.6/apex/RNN
    copying apex/RNN/models.py -> build/lib.linux-x86_64-3.6/apex/RNN
    copying apex/RNN/cells.py -> build/lib.linux-x86_64-3.6/apex/RNN
    copying apex/RNN/RNNBackend.py -> build/lib.linux-x86_64-3.6/apex/RNN
    creating build/lib.linux-x86_64-3.6/apex/pyprof
    copying apex/pyprof/__init__.py -> build/lib.linux-x86_64-3.6/apex/pyprof
    creating build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/__version__.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/utils.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/__init__.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/amp.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/compat.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/_process_optimizer.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/_amp_state.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/_initialize.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/opt.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/handle.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/rnn_compat.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/frontend.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/scaler.py -> build/lib.linux-x86_64-3.6/apex/amp
    copying apex/amp/wrap.py -> build/lib.linux-x86_64-3.6/apex/amp
    creating build/lib.linux-x86_64-3.6/apex/fp16_utils
    copying apex/fp16_utils/fp16util.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
    copying apex/fp16_utils/__init__.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
    copying apex/fp16_utils/fp16_optimizer.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
    copying apex/fp16_utils/loss_scaler.py -> build/lib.linux-x86_64-3.6/apex/fp16_utils
    creating build/lib.linux-x86_64-3.6/apex/reparameterization
    copying apex/reparameterization/__init__.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
    copying apex/reparameterization/weight_norm.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
    copying apex/reparameterization/reparameterization.py -> build/lib.linux-x86_64-3.6/apex/reparameterization
    creating build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
    copying apex/multi_tensor_apply/multi_tensor_apply.py -> build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
    copying apex/multi_tensor_apply/__init__.py -> build/lib.linux-x86_64-3.6/apex/multi_tensor_apply
    creating build/lib.linux-x86_64-3.6/apex/normalization
    copying apex/normalization/__init__.py -> build/lib.linux-x86_64-3.6/apex/normalization
    copying apex/normalization/fused_layer_norm.py -> build/lib.linux-x86_64-3.6/apex/normalization
    creating build/lib.linux-x86_64-3.6/apex/contrib
    copying apex/contrib/__init__.py -> build/lib.linux-x86_64-3.6/apex/contrib
    creating build/lib.linux-x86_64-3.6/apex/pyprof/parse
    copying apex/pyprof/parse/__init__.py -> build/lib.linux-x86_64-3.6/apex/pyprof/parse
    copying apex/pyprof/parse/kernel.py -> build/lib.linux-x86_64-3.6/apex/pyprof/parse
    copying apex/pyprof/parse/db.py -> build/lib.linux-x86_64-3.6/apex/pyprof/parse
    copying apex/pyprof/parse/__main__.py -> build/lib.linux-x86_64-3.6/apex/pyprof/parse
    copying apex/pyprof/parse/parse.py -> build/lib.linux-x86_64-3.6/apex/pyprof/parse
    copying apex/pyprof/parse/nvvp.py -> build/lib.linux-x86_64-3.6/apex/pyprof/parse
    creating build/lib.linux-x86_64-3.6/apex/pyprof/nvtx
    copying apex/pyprof/nvtx/__init__.py -> build/lib.linux-x86_64-3.6/apex/pyprof/nvtx
    copying apex/pyprof/nvtx/nvmarker.py -> build/lib.linux-x86_64-3.6/apex/pyprof/nvtx
    creating build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/reduction.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/usage.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/data.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/prof.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/__init__.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/blas.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/pooling.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/index_slice_join_mutate.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/randomSample.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/convert.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/normalization.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/activation.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/__main__.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/misc.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/dropout.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/loss.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/linear.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/softmax.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/embedding.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/base.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/conv.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/pointwise.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/recurrentCell.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/output.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/utility.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    copying apex/pyprof/prof/optim.py -> build/lib.linux-x86_64-3.6/apex/pyprof/prof
    creating build/lib.linux-x86_64-3.6/apex/amp/lists
    copying apex/amp/lists/__init__.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
    copying apex/amp/lists/functional_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
    copying apex/amp/lists/torch_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
    copying apex/amp/lists/tensor_overrides.py -> build/lib.linux-x86_64-3.6/apex/amp/lists
    creating build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/self_multihead_attn_func.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/__init__.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/mask_softmax_dropout_func.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/encdec_multihead_attn.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/self_multihead_attn.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/fast_encdec_multihead_attn_func.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/fast_self_multihead_attn_func.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/encdec_multihead_attn_func.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/fast_self_multihead_attn_norm_add_func.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    copying apex/contrib/multihead_attn/fast_encdec_multihead_attn_norm_add_func.py -> build/lib.linux-x86_64-3.6/apex/contrib/multihead_attn
    creating build/lib.linux-x86_64-3.6/apex/contrib/sparsity
    copying apex/contrib/sparsity/asp.py -> build/lib.linux-x86_64-3.6/apex/contrib/sparsity
    copying apex/contrib/sparsity/__init__.py -> build/lib.linux-x86_64-3.6/apex/contrib/sparsity
    copying apex/contrib/sparsity/sparse_masklib.py -> build/lib.linux-x86_64-3.6/apex/contrib/sparsity
    creating build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/fused_adam.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/__init__.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/fused_sgd.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/fp16_optimizer.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/distributed_fused_lamb.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/distributed_fused_adam_v3.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/distributed_fused_adam_v2.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/fused_lamb.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    copying apex/contrib/optimizers/distributed_fused_adam.py -> build/lib.linux-x86_64-3.6/apex/contrib/optimizers
    creating build/lib.linux-x86_64-3.6/apex/contrib/xentropy
    copying apex/contrib/xentropy/softmax_xentropy.py -> build/lib.linux-x86_64-3.6/apex/contrib/xentropy
    copying apex/contrib/xentropy/__init__.py -> build/lib.linux-x86_64-3.6/apex/contrib/xentropy
    creating build/lib.linux-x86_64-3.6/apex/contrib/groupbn
    copying apex/contrib/groupbn/__init__.py -> build/lib.linux-x86_64-3.6/apex/contrib/groupbn
    copying apex/contrib/groupbn/batch_norm.py -> build/lib.linux-x86_64-3.6/apex/contrib/groupbn
    running build_ext
    /usr/local/lib/python3.6/dist-packages/torch/utils/cpp_extension.py:335: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend.
      warnings.warn(msg.format('we could not find ninja.'))
    building 'apex_C' extension
    creating build/temp.linux-x86_64-3.6
    creating build/temp.linux-x86_64-3.6/csrc
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/include/python3.6m -c csrc/flatten_unflatten.cpp -o build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=apex_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Parallel.h:149:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/flatten_unflatten.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
     #pragma omp parallel for if ((end - begin) >= grain_size)

    In file included from csrc/flatten_unflatten.cpp:2:0:
    /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/utils/tensor_flatten.h: In member function ‘at::DeprecatedTypeProperties& torch::utils::TensorGroup::type()’:
    /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/utils/tensor_flatten.h:36:28: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
         return tensors[0].type();
                                ^
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/flatten_unflatten.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/csrc/flatten_unflatten.o -L/usr/local/lib/python3.6/dist-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-3.6/apex_C.cpython-36m-x86_64-linux-gnu.so
    building 'amp_C' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/amp_C_frontend.cpp -o build/temp.linux-x86_64-3.6/csrc/amp_C_frontend.o -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Parallel.h:149:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/amp_C_frontend.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
     #pragma omp parallel for if ((end - begin) >= grain_size)

    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_sgd_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_sgd_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_scale_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_scale_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_axpby_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_axpby_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_l2norm_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_l2norm_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_lamb_stage_1.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_lamb_stage_1.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_lamb_stage_2.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_lamb_stage_2.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_adam.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_adam.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_adagrad.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_adagrad.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_novograd.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_novograd.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/multi_tensor_lamb.cu -o build/temp.linux-x86_64-3.6/csrc/multi_tensor_lamb.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -lineinfo -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=amp_C -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/csrc/amp_C_frontend.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_sgd_kernel.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_scale_kernel.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_axpby_kernel.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_l2norm_kernel.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_lamb_stage_1.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_lamb_stage_2.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_adam.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_adagrad.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_novograd.o build/temp.linux-x86_64-3.6/csrc/multi_tensor_lamb.o -L/usr/local/lib/python3.6/dist-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.6/amp_C.cpython-36m-x86_64-linux-gnu.so
    building 'syncbn' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/syncbn.cpp -o build/temp.linux-x86_64-3.6/csrc/syncbn.o -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=syncbn -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Parallel.h:149:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/syncbn.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
     #pragma omp parallel for if ((end - begin) >= grain_size)

    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/welford.cu -o build/temp.linux-x86_64-3.6/csrc/welford.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=syncbn -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/csrc/syncbn.o build/temp.linux-x86_64-3.6/csrc/welford.o -L/usr/local/lib/python3.6/dist-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.6/syncbn.cpython-36m-x86_64-linux-gnu.so
    building 'fused_layer_norm_cuda' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/layer_norm_cuda.cpp -o build/temp.linux-x86_64-3.6/csrc/layer_norm_cuda.o -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=fused_layer_norm_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Parallel.h:149:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
     #pragma omp parallel for if ((end - begin) >= grain_size)

    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp: In function ‘std::vector<at::Tensor> layer_norm(at::Tensor, c10::IntArrayRef, double)’:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:129:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(input);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp: In function ‘std::vector<at::Tensor> layer_norm_affine(at::Tensor, c10::IntArrayRef, at::Tensor, at::Tensor, double)’:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:149:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(input);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:150:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(gamma);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:151:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(beta);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp: In function ‘at::Tensor layer_norm_gradient(at::Tensor, at::Tensor, at::Tensor, at::Tensor, c10::IntArrayRef, double)’:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:193:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(dout);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:194:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(mean);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:195:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(invvar);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:196:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(input);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp: In function ‘std::vector<at::Tensor> layer_norm_gradient_affine(at::Tensor, at::Tensor, at::Tensor, at::Tensor, c10::IntArrayRef, at::Tensor, at::Tensor, double)’:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:218:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(dout);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:219:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(mean);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:220:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(invvar);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:221:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(input);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:222:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(gamma);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/DeviceType.h:8:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Device.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/c10/core/Allocator.h:6,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    csrc/layer_norm_cuda.cpp:117:42: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                                              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/macros/Macros.h:146:65: note: in definition of macro ‘C10_UNLIKELY’
     #define C10_UNLIKELY(expr)  (__builtin_expect(static_cast<bool>(expr), 0))
                                                                     ^~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:330:7: note: in expansion of macro ‘C10_UNLIKELY_OR_CONST’
       if (C10_UNLIKELY_OR_CONST(!(cond))) {                               \
           ^~~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:318:3: note: in expansion of macro ‘TORCH_CHECK_WITH_MSG’
       TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
       ^~~~~~~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/c10/util/Exception.h:341:32: note: in expansion of macro ‘TORCH_CHECK_WITH’
     #define TORCH_CHECK(cond, ...) TORCH_CHECK_WITH(Error, cond, __VA_ARGS__)
                                    ^~~~~~~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:117:23: note: in expansion of macro ‘TORCH_CHECK’
     #define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
                           ^~~~~~~~~~~
    csrc/layer_norm_cuda.cpp:119:24: note: in expansion of macro ‘CHECK_CUDA’
     #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
                            ^~~~~~~~~~
    csrc/layer_norm_cuda.cpp:223:3: note: in expansion of macro ‘CHECK_INPUT’
       CHECK_INPUT(beta);
       ^~~~~~~~~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/layer_norm_cuda.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/layer_norm_cuda_kernel.cu -o build/temp.linux-x86_64-3.6/csrc/layer_norm_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -maxrregcount=50 -O3 --use_fast_math -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=fused_layer_norm_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/csrc/layer_norm_cuda.o build/temp.linux-x86_64-3.6/csrc/layer_norm_cuda_kernel.o -L/usr/local/lib/python3.6/dist-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.6/fused_layer_norm_cuda.cpython-36m-x86_64-linux-gnu.so
    building 'mlp_cuda' extension
    x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/mlp.cpp -o build/temp.linux-x86_64-3.6/csrc/mlp.o -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=mlp_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Parallel.h:149:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
     #pragma omp parallel for if ((end - begin) >= grain_size)

    csrc/mlp.cpp: In function ‘std::vector<at::Tensor> mlp_forward(int, int, std::vector<at::Tensor>)’:
    csrc/mlp.cpp:56:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (int i = 0; i < num_layers; i++) {
                       ~~^~~~~~~~~~~~
    csrc/mlp.cpp:64:77: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
       auto out = at::empty({batch_size, output_features.back()}, inputs[0].type());
                                                                                 ^
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    csrc/mlp.cpp:65:67: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
       auto reserved_space = at::empty({reserved_size}, inputs[0].type());
                                                                       ^
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    csrc/mlp.cpp:65:68: warning: narrowing conversion of ‘reserved_size’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
       auto reserved_space = at::empty({reserved_size}, inputs[0].type());
                                                                        ^
    csrc/mlp.cpp:65:68: warning: narrowing conversion of ‘reserved_size’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:67:54: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
                                                          ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:150:28: note: in definition of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
         const auto& the_type = TYPE;                                            \
                                ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:152:56: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
         at::ScalarType _st = ::detail::scalar_type(the_type);                   \
                                                            ^
    csrc/mlp.cpp:67:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
       ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:66:23: note: declared here
     inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
                           ^~~~~~~~~~~
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:70:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < num_layers; i++) {
                         ~~^~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:67:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
       ^
    csrc/mlp.cpp:76:10: warning: unused variable ‘result’ [-Wunused-variable]
         auto result = mlp_fp<scalar_t>(
              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:67:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
       ^
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:70:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < num_layers; i++) {
                         ~~^~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:67:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
       ^
    csrc/mlp.cpp:76:10: warning: unused variable ‘result’ [-Wunused-variable]
         auto result = mlp_fp<scalar_t>(
              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:67:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
       ^
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:70:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < num_layers; i++) {
                         ~~^~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:67:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
       ^
    csrc/mlp.cpp:76:10: warning: unused variable ‘result’ [-Wunused-variable]
         auto result = mlp_fp<scalar_t>(
              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:67:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_forward", [&] {
       ^
    csrc/mlp.cpp: In function ‘std::vector<at::Tensor> mlp_backward(int, int, at::Tensor, std::vector<at::Tensor>, std::vector<at::Tensor>)’:
    csrc/mlp.cpp:113:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (int i = 0; i < num_layers; i++) {
                       ~~^~~~~~~~~~~~
    csrc/mlp.cpp:119:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (int i = 0; i < inputs.size(); i++) {
                       ~~^~~~~~~~~~~~~~~
    csrc/mlp.cpp:120:67: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
         outputs.push_back(at::empty(inputs[i].sizes(), inputs[i].type()));  // clone for testing now
                                                                       ^
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:123:54: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
                                                          ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:150:28: note: in definition of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
         const auto& the_type = TYPE;                                            \
                                ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:152:56: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
         at::ScalarType _st = ::detail::scalar_type(the_type);                   \
                                                            ^
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:66:23: note: declared here
     inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
                           ^~~~~~~~~~~
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:125:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < num_layers; i++) {
                         ~~^~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:129:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < inputs.size(); i++) {
                         ~~^~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:137:80: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                                                                    ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    csrc/mlp.cpp:137:44: warning: narrowing conversion of ‘(work_size / sizeof (scalar_t))’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                      ~~~~~~~~~~^~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:137:44: warning: narrowing conversion of ‘(work_size / sizeof (scalar_t))’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                      ~~~~~~~~~~^~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:139:10: warning: unused variable ‘result’ [-Wunused-variable]
         auto result = mlp_bp<scalar_t>(
              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:125:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < num_layers; i++) {
                         ~~^~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:129:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < inputs.size(); i++) {
                         ~~^~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:137:80: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                                                                    ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    csrc/mlp.cpp:137:44: warning: narrowing conversion of ‘(work_size / sizeof (scalar_t))’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                      ~~~~~~~~~~^~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:137:44: warning: narrowing conversion of ‘(work_size / sizeof (scalar_t))’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                      ~~~~~~~~~~^~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:139:10: warning: unused variable ‘result’ [-Wunused-variable]
         auto result = mlp_bp<scalar_t>(
              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp: In lambda function:
    csrc/mlp.cpp:125:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < num_layers; i++) {
                         ~~^~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:129:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int i = 0; i < inputs.size(); i++) {
                         ~~^~~~~~~~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:137:80: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                                                                    ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Tensor.h:3:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Context.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:5,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/core/TensorBody.h:268:30: note: declared here
       DeprecatedTypeProperties & type() const {
                                  ^~~~
    In file included from /usr/local/lib/python3.6/dist-packages/torch/include/ATen/ATen.h:9:0,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include/torch/all.h:4,
                     from /usr/local/lib/python3.6/dist-packages/torch/include/torch/extension.h:4,
                     from csrc/mlp.cpp:1:
    csrc/mlp.cpp:137:44: warning: narrowing conversion of ‘(work_size / sizeof (scalar_t))’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                      ~~~~~~~~~~^~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:137:44: warning: narrowing conversion of ‘(work_size / sizeof (scalar_t))’ from ‘long unsigned int’ to ‘long int’ inside { } [-Wnarrowing]
         auto work_space = at::empty({work_size / sizeof(scalar_t)}, inputs[0].type());
                                      ~~~~~~~~~~^~~~~~~~~
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    csrc/mlp.cpp:139:10: warning: unused variable ‘result’ [-Wunused-variable]
         auto result = mlp_bp<scalar_t>(
              ^
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/Dispatch.h:13:12: note: in definition of macro ‘AT_PRIVATE_CASE_TYPE’
         return __VA_ARGS__();                          \
                ^~~~~~~~~~~
    csrc/mlp.cpp:123:3: note: in expansion of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF’
       AT_DISPATCH_FLOATING_TYPES_AND_HALF(inputs[0].type(), "mlp_backward", [&] {
       ^
    /usr/local/cuda/bin/nvcc -I/usr/local/lib/python3.6/dist-packages/torch/include -I/usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/api/include -I/usr/local/lib/python3.6/dist-packages/torch/include/TH -I/usr/local/lib/python3.6/dist-packages/torch/include/THC -I/usr/local/cuda/include -I/usr/include/python3.6m -c csrc/mlp_cuda.cu -o build/temp.linux-x86_64-3.6/csrc/mlp_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=mlp_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_37,code=sm_37 -std=c++14
    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/record_function.h(18): warning: attribute "__visibility__" does not apply here

    /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/autograd/profiler.h(97): warning: attribute "__visibility__" does not apply here

    /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/autograd/profiler.h(126): warning: attribute "__visibility__" does not apply here

    /usr/local/lib/python3.6/dist-packages/torch/include/ATen/record_function.h(18): warning: attribute "__visibility__" does not apply here

    /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/autograd/profiler.h(97): warning: attribute "__visibility__" does not apply here

    /usr/local/lib/python3.6/dist-packages/torch/include/torch/csrc/autograd/profiler.h(126): warning: attribute "__visibility__" does not apply here

    x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.6/csrc/mlp.o build/temp.linux-x86_64-3.6/csrc/mlp_cuda.o -L/usr/local/lib/python3.6/dist-packages/torch/lib -L/usr/local/cuda/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-3.6/mlp_cuda.cpython-36m-x86_64-linux-gnu.so
    running install_lib
    copying build/lib.linux-x86_64-3.6/syncbn.cpython-36m-x86_64-linux-gnu.so -> /usr/local/lib/python3.6/dist-packages
    copying build/lib.linux-x86_64-3.6/mlp_cuda.cpython-36m-x86_64-linux-gnu.so -> /usr/local/lib/python3.6/dist-packages
    creating /usr/local/lib/python3.6/dist-packages/apex
    copying build/lib.linux-x86_64-3.6/apex/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex
    creating /usr/local/lib/python3.6/dist-packages/apex/mlp
    copying build/lib.linux-x86_64-3.6/apex/mlp/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/mlp
    copying build/lib.linux-x86_64-3.6/apex/mlp/mlp.py -> /usr/local/lib/python3.6/dist-packages/apex/mlp
    creating /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/LARC.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/sync_batchnorm_kernel.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/optimized_sync_batchnorm.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/distributed.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/sync_batchnorm.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/optimized_sync_batchnorm_kernel.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    copying build/lib.linux-x86_64-3.6/apex/parallel/multiproc.py -> /usr/local/lib/python3.6/dist-packages/apex/parallel
    creating /usr/local/lib/python3.6/dist-packages/apex/optimizers
    copying build/lib.linux-x86_64-3.6/apex/optimizers/fused_adam.py -> /usr/local/lib/python3.6/dist-packages/apex/optimizers
    copying build/lib.linux-x86_64-3.6/apex/optimizers/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/optimizers
    copying build/lib.linux-x86_64-3.6/apex/optimizers/fused_sgd.py -> /usr/local/lib/python3.6/dist-packages/apex/optimizers
    copying build/lib.linux-x86_64-3.6/apex/optimizers/fused_novograd.py -> /usr/local/lib/python3.6/dist-packages/apex/optimizers
    copying build/lib.linux-x86_64-3.6/apex/optimizers/fused_adagrad.py -> /usr/local/lib/python3.6/dist-packages/apex/optimizers
    copying build/lib.linux-x86_64-3.6/apex/optimizers/fused_lamb.py -> /usr/local/lib/python3.6/dist-packages/apex/optimizers
    creating /usr/local/lib/python3.6/dist-packages/apex/RNN
    copying build/lib.linux-x86_64-3.6/apex/RNN/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/RNN
    copying build/lib.linux-x86_64-3.6/apex/RNN/models.py -> /usr/local/lib/python3.6/dist-packages/apex/RNN
    copying build/lib.linux-x86_64-3.6/apex/RNN/cells.py -> /usr/local/lib/python3.6/dist-packages/apex/RNN
    copying build/lib.linux-x86_64-3.6/apex/RNN/RNNBackend.py -> /usr/local/lib/python3.6/dist-packages/apex/RNN
    creating /usr/local/lib/python3.6/dist-packages/apex/pyprof
    creating /usr/local/lib/python3.6/dist-packages/apex/pyprof/parse
    copying build/lib.linux-x86_64-3.6/apex/pyprof/parse/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/parse
    copying build/lib.linux-x86_64-3.6/apex/pyprof/parse/kernel.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/parse
    copying build/lib.linux-x86_64-3.6/apex/pyprof/parse/db.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/parse
    copying build/lib.linux-x86_64-3.6/apex/pyprof/parse/__main__.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/parse
    copying build/lib.linux-x86_64-3.6/apex/pyprof/parse/parse.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/parse
    copying build/lib.linux-x86_64-3.6/apex/pyprof/parse/nvvp.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/parse
    copying build/lib.linux-x86_64-3.6/apex/pyprof/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof
    creating /usr/local/lib/python3.6/dist-packages/apex/pyprof/nvtx
    copying build/lib.linux-x86_64-3.6/apex/pyprof/nvtx/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/nvtx
    copying build/lib.linux-x86_64-3.6/apex/pyprof/nvtx/nvmarker.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/nvtx
    creating /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/reduction.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/usage.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/data.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/prof.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/blas.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/pooling.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/index_slice_join_mutate.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/randomSample.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/convert.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/normalization.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/activation.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/__main__.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/misc.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/dropout.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/loss.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/linear.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/softmax.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/embedding.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/base.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/conv.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/pointwise.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/recurrentCell.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/output.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/utility.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    copying build/lib.linux-x86_64-3.6/apex/pyprof/prof/optim.py -> /usr/local/lib/python3.6/dist-packages/apex/pyprof/prof
    creating /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/__version__.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    creating /usr/local/lib/python3.6/dist-packages/apex/amp/lists
    copying build/lib.linux-x86_64-3.6/apex/amp/lists/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/amp/lists
    copying build/lib.linux-x86_64-3.6/apex/amp/lists/functional_overrides.py -> /usr/local/lib/python3.6/dist-packages/apex/amp/lists
    copying build/lib.linux-x86_64-3.6/apex/amp/lists/torch_overrides.py -> /usr/local/lib/python3.6/dist-packages/apex/amp/lists
    copying build/lib.linux-x86_64-3.6/apex/amp/lists/tensor_overrides.py -> /usr/local/lib/python3.6/dist-packages/apex/amp/lists
    copying build/lib.linux-x86_64-3.6/apex/amp/utils.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/amp.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/compat.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/_process_optimizer.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/_amp_state.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/_initialize.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/opt.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/handle.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/rnn_compat.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/frontend.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/scaler.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    copying build/lib.linux-x86_64-3.6/apex/amp/wrap.py -> /usr/local/lib/python3.6/dist-packages/apex/amp
    creating /usr/local/lib/python3.6/dist-packages/apex/fp16_utils
    copying build/lib.linux-x86_64-3.6/apex/fp16_utils/fp16util.py -> /usr/local/lib/python3.6/dist-packages/apex/fp16_utils
    copying build/lib.linux-x86_64-3.6/apex/fp16_utils/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/fp16_utils
    copying build/lib.linux-x86_64-3.6/apex/fp16_utils/fp16_optimizer.py -> /usr/local/lib/python3.6/dist-packages/apex/fp16_utils
    copying build/lib.linux-x86_64-3.6/apex/fp16_utils/loss_scaler.py -> /usr/local/lib/python3.6/dist-packages/apex/fp16_utils
    creating /usr/local/lib/python3.6/dist-packages/apex/reparameterization
    copying build/lib.linux-x86_64-3.6/apex/reparameterization/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/reparameterization
    copying build/lib.linux-x86_64-3.6/apex/reparameterization/weight_norm.py -> /usr/local/lib/python3.6/dist-packages/apex/reparameterization
    copying build/lib.linux-x86_64-3.6/apex/reparameterization/reparameterization.py -> /usr/local/lib/python3.6/dist-packages/apex/reparameterization
    creating /usr/local/lib/python3.6/dist-packages/apex/multi_tensor_apply
    copying build/lib.linux-x86_64-3.6/apex/multi_tensor_apply/multi_tensor_apply.py -> /usr/local/lib/python3.6/dist-packages/apex/multi_tensor_apply
    copying build/lib.linux-x86_64-3.6/apex/multi_tensor_apply/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/multi_tensor_apply
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    copying build/lib.linux-x86_64-3.6/apex/contrib/__init__.py -> /usr/local/lib/python3.6/dist-packages/apex/contrib
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/content

Model Definition

Augmentations

We use Albumentations library for augmentations:

import albumentations as A
import numpy as np
from albumentations.pytorch import ToTensorV2

def get_training_augmentation():
    augmentations_train = A.Compose(
        [
            A.RandomResizedCrop(224, 224, scale=(0.8, 1.0)),
            A.HorizontalFlip(),
            A.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
            ToTensorV2(),
        ],
    )
    return lambda img: augmentations_train(image=np.array(img))


def get_test_augmentation():
    augmentations_val = A.Compose(
        [
            A.SmallestMaxSize(256),
            A.CenterCrop(224, 224),
            A.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
            ToTensorV2(),
        ],
    )
    return lambda img: augmentations_val(image=np.array(img))

Extra Losses

Some of our tricks require the definition of custom loss functions:

# MIT License
# Copyright (c) 2018 Haitong Li


import torch
import torch.nn as nn
import torch.nn.functional as F


# Based on https://github.com/peterliht/knowledge-distillation-pytorch/blob/master/model/net.py
class KnowledgeDistillationLoss(nn.Module):
    def __init__(self, alpha, T, criterion):
        super().__init__()
        self.criterion = criterion
        self.KLDivLoss = nn.KLDivLoss(reduction="batchmean")
        self.alpha = alpha
        self.T = T

    def forward(self, input, target, teacher_target):
        loss = self.KLDivLoss(
            F.log_softmax(input / self.T, dim=1),
            F.softmax(teacher_target / self.T, dim=1),
        ) * (self.alpha * self.T * self.T) + self.criterion(input, target) * (
            1.0 - self.alpha
        )
        return loss


class MixUpAugmentationLoss(nn.Module):
    def __init__(self, criterion):
        super().__init__()
        self.criterion = criterion

    def forward(self, input, target, *args):
        # Validation step
        if isinstance(target, torch.Tensor):
            return self.criterion(input, target, *args)
        target_a, target_b, lmbd = target
        return lmbd * self.criterion(input, target_a, *args) + (
            1 - lmbd
        ) * self.criterion(input, target_b, *args)


# Based on https://github.com/pytorch/pytorch/issues/7455
class LabelSmoothingLoss(nn.Module):
    def __init__(self, n_classes, smoothing=0.0, dim=-1):
        super(LabelSmoothingLoss, self).__init__()
        self.confidence = 1.0 - smoothing
        self.smoothing = smoothing
        self.cls = n_classes
        self.dim = dim

    def forward(self, output, target, *args):
        output = output.log_softmax(dim=self.dim)
        with torch.no_grad():
            # Create matrix with shapes batch_size x n_classes
            true_dist = torch.zeros_like(output)
            # Initialize all elements with epsilon / N - 1
            true_dist.fill_(self.smoothing / (self.cls - 1))
            # Fill correct class for each sample in the batch with 1 - epsilon
            true_dist.scatter_(1, target.data.unsqueeze(1), self.confidence)
        return torch.mean(torch.sum(-true_dist * output, dim=self.dim))

Teacher model weights

If you're going to launch the experiment with the Knowledge Distillation technique you should have a teacher model weights. We trained ResNet-50 and used this model as the teacher. Launch the code below to download our weights. You can skip this step if you don't want to use the KD (or use your own pretrained weights).

Note: The usage of KD requires more time for training.

!wget https://www.dropbox.com/s/za5eeyhhy6pmpd2/bag_of_tricks_resnet50_teacher.ckpt?dl=0 -O ./teacher.ckpt

--2020-09-03 09:48:23--  https://www.dropbox.com/s/za5eeyhhy6pmpd2/bag_of_tricks_resnet50_teacher.ckpt?dl=0
Resolving www.dropbox.com (www.dropbox.com)... 162.125.67.1, 2620:100:6023:1::a27d:4301
Connecting to www.dropbox.com (www.dropbox.com)|162.125.67.1|:443... connected.
HTTP request sent, awaiting response... 301 Moved Permanently
Location: /s/raw/za5eeyhhy6pmpd2/bag_of_tricks_resnet50_teacher.ckpt [following]
--2020-09-03 09:48:23--  https://www.dropbox.com/s/raw/za5eeyhhy6pmpd2/bag_of_tricks_resnet50_teacher.ckpt
Reusing existing connection to www.dropbox.com:443.
HTTP request sent, awaiting response... 302 Found
Location: https://uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com/cd/0/inline/A-qH_9fKzInWFiDcmlucWEbPJfv9R08WwhXgBkruuEGkZ8d_1sbBY-AkoWc4qhkjRCZtrPcIKtgAsVkcLGWcGGGS-qDCI4AoJlMWr5qzFWDQcxgZR9CIjJrtYJkoKIcojFk/file# [following]
--2020-09-03 09:48:24--  https://uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com/cd/0/inline/A-qH_9fKzInWFiDcmlucWEbPJfv9R08WwhXgBkruuEGkZ8d_1sbBY-AkoWc4qhkjRCZtrPcIKtgAsVkcLGWcGGGS-qDCI4AoJlMWr5qzFWDQcxgZR9CIjJrtYJkoKIcojFk/file
Resolving uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com (uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com)... 162.125.67.15, 2620:100:6023:15::a27d:430f
Connecting to uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com (uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com)|162.125.67.15|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: /cd/0/inline2/A-rvg7l0D7zSdsOEOgZ2xForZXswOF5RX8exu0_RlEeV6azD_BcJRDfUSWhXuaGKiQMIWLzmhWfcRWritZObSHw2NmaUDmS-5kRbgKDuX7guoYbhbkkjNSGItScuApPDifTWSyUxaeXw6qUkB5wakWxRrs239pCNTNIYqMZLoRkNr-EtQbvW1geTdH16sYtwbiwDGoaihqnuy7vohnQoRsjlww7UZJRCK51zgMwyOsyUyVns--xVt8n1WJ9aGW0wiJ1BRdakv3nItt7qx0iL9LnCrigOMegCXrxThqHPBvaEvH5voblDmK5Mmq7nGc67b30GDiRRRcVke0D3DbqzNBL2gVIZ_2N3_5h7paqsfLmnjQ/file [following]
--2020-09-03 09:48:24--  https://uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com/cd/0/inline2/A-rvg7l0D7zSdsOEOgZ2xForZXswOF5RX8exu0_RlEeV6azD_BcJRDfUSWhXuaGKiQMIWLzmhWfcRWritZObSHw2NmaUDmS-5kRbgKDuX7guoYbhbkkjNSGItScuApPDifTWSyUxaeXw6qUkB5wakWxRrs239pCNTNIYqMZLoRkNr-EtQbvW1geTdH16sYtwbiwDGoaihqnuy7vohnQoRsjlww7UZJRCK51zgMwyOsyUyVns--xVt8n1WJ9aGW0wiJ1BRdakv3nItt7qx0iL9LnCrigOMegCXrxThqHPBvaEvH5voblDmK5Mmq7nGc67b30GDiRRRcVke0D3DbqzNBL2gVIZ_2N3_5h7paqsfLmnjQ/file
Reusing existing connection to uc0d44dd339ec3fdf4bc3ebc2ae6.dl.dropboxusercontent.com:443.
HTTP request sent, awaiting response... 200 OK
Length: 282922606 (270M) [application/octet-stream]
Saving to: ‘./teacher.ckpt’

./teacher.ckpt      100%[===================>] 269.82M  24.5MB/s    in 11s     

2020-09-03 09:48:36 (24.6 MB/s) - ‘./teacher.ckpt’ saved [282922606/282922606]

Model

In PyTorch-Lightning framework we should define a class which inherits from LightningModule and overwrite some methods:

import warnings
from typing import Dict

import pytorch_lightning as pl
from torch.utils.data import DataLoader
from torchvision.datasets import ImageFolder


class LitFood101(pl.LightningModule):
    def __init__(self, model, config):
        super().__init__()
        self.model = model
        self.config = config
        # We need to specify a number of classes there to avoid the RuntimeError
        # See https://github.com/PyTorchLightning/pytorch-lightning/issues/3006
        # However, we will get another warning and it should be handled in forward steps
        self.metric = pl.metrics.Accuracy(num_classes=self.config.num_classes)
        dim_feats = self.model.fc.in_features  # =2048
        nb_classes = self.config.num_classes
        self.model.fc = nn.Linear(dim_feats, nb_classes)

    def forward(self, x):
        return self.model(x)

    def setup(self, stage):
        if self.config.use_smoothing:
            self.criterion = LabelSmoothingLoss(
                self.config.num_classes, self.config.smoothing,
            )
        else:
            self.criterion = nn.CrossEntropyLoss()

        if self.config.use_mixup:
            self.criterion = MixUpAugmentationLoss(self.criterion)

    def on_epoch_start(self):
        self.previous_batch = [None, None]

    def training_step(self, batch, *args):
        x, y = batch[0]["image"], batch[1]
        if self.args.use_mixup:
            mixup_x, *mixup_y = self.mixup_batch(x, y, *self.previous_batch)
            logits = self(mixup_x)
            loss = self.criterion(logits, mixup_y)
        else:
            logits = self(x)
            loss = self.criterion(logits, y)
        # We ignore a warning about a mismatch between a number of predicted classes
        # and a number of initialized for Accuracy class
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            accuracy = self.metric(logits.argmax(dim=-1), y)
        tensorboard_logs = {"train_loss": loss, "train_acc": accuracy}
        self.previous_batch = [x, y]

        return {"loss": loss, "progress_bar": tensorboard_logs, "log": tensorboard_logs}

    def validation_step(self, batch, *args):
        x, y = batch[0]["image"], batch[1]
        logits = self(x)
        val_loss = self.criterion(logits, y)
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            val_accuracy = self.metric(logits.argmax(dim=-1), y)
        return {"val_loss": val_loss, "val_acc": val_accuracy}

    def test_step(self, batch, *args):
        x, y = batch[0]["image"], batch[1]
        logits = self(x)
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            test_accuracy = self.metric(logits.argmax(dim=-1), y)
        return {"test_acc": test_accuracy}

    def validation_epoch_end(self, outputs):
        avg_loss = torch.stack([x["val_loss"] for x in outputs]).mean()
        avg_accuracy = torch.stack([x["val_acc"] for x in outputs]).mean()
        tensorboard_logs = {"val_loss": avg_loss, "val_acc": avg_accuracy}
        return {
            "avg_val_loss": avg_loss,
            "avg_val_acc": avg_accuracy,
            "log": tensorboard_logs,
        }

    def test_epoch_end(self, outputs):
        avg_accuracy = torch.stack([x["test_acc"] for x in outputs]).mean()
        return {"avg_test_acc": avg_accuracy.item()}

    def configure_optimizers(self):
        optimizer = torch.optim.Adam(self.model.parameters(), lr=self.config.lr)
        if self.config.use_cosine_scheduler:
            scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(
                optimizer, T_max=self.config.max_epochs, eta_min=0.0,
            )
        else:
            scheduler = torch.optim.lr_scheduler.MultiStepLR(
                optimizer, milestones=self.config.milestones,
            )
        return [optimizer], [scheduler]

    def train_dataloader(self):
        train_dataset = ImageFolder(
            os.path.join('/content/food-101/food-101', "train"),
            transform=get_training_augmentation(),
        )

        return DataLoader(
            train_dataset,
            batch_size=self.config.batch_size,
            shuffle=True,
            num_workers=self.config.workers,
            pin_memory=True,
        )

    def val_dataloader(self):
        val_dataset = ImageFolder(
            os.path.join('/content/food-101/food-101', "test"),
            transform=get_test_augmentation(),
        )
        return DataLoader(
            val_dataset,
            batch_size=32,
            shuffle=False,
            num_workers=self.config.workers,
            pin_memory=True,
        )

    def test_dataloader(self):
        return self.val_dataloader()

    def optimizer_step(self, epoch, batch_idx, optimizer, *args, **kwargs):
        # Learning Rate warm-up
        if self.config.warmup != -1 and epoch < self.config.warmup:
            lr = self.config.lr * (epoch + 1) / self.config.warmup
            for pg in optimizer.param_groups:
                pg["lr"] = lr

        self.logger.log_metrics({"lr": optimizer.param_groups[0]["lr"]}, step=epoch)
        optimizer.step()
        optimizer.zero_grad()

    def mixup_batch(self, x, y, x_previous, y_previous):
        lmbd = (
            np.random.beta(self.config.mixup_alpha, self.config.mixup_alpha)
            if self.config.mixup_alpha > 0
            else 1
        )
        if x_previous is None:
            x_previous = torch.empty_like(x).copy_(x)
            y_previous = torch.empty_like(y).copy_(y)
        batch_size = x.size(0)
        index = torch.randperm(batch_size)
        # If current batch size != previous batch size, we take only a part of the previous batch
        x_previous = x_previous[:batch_size, ...]
        y_previous = y_previous[:batch_size, ...]
        x_mixed = lmbd * x + (1 - lmbd) * x_previous[index, ...]
        y_a, y_b = y, y_previous[index]
        return x_mixed, y_a, y_b, lmbd


class LitFood101KD(LitFood101):
    def __init__(self, model, teacher, config):
        super().__init__(model, config)
        self.teacher = teacher
        dim_feats = self.teacher.fc.in_features  # =2048
        nb_classes = self.config.num_classes
        self.teacher.fc = nn.Linear(dim_feats, nb_classes)
        teacher_checkpoint = torch.load("./teacher.ckpt")
        self.teacher.load_state_dict(teacher_checkpoint["state_dict"])

    def setup(self, stage):
        criterion = (
            LabelSmoothingLoss(self.config.num_classes, self.config.smoothing)
            if self.config.use_smoothing
            else nn.CrossEntropyLoss()
        )
        self.criterion = KnowledgeDistillationLoss(
            self.config.distill_alpha, self.config.distill_temperature, 
            criterion=criterion,
        )
        if self.config.use_mixup:
            self.criterion = MixUpAugmentationLoss(self.criterion)
        self.teacher.eval()

    def training_step(self, batch, *args):
        x, y = batch[0]["image"], batch[1]
        with torch.no_grad():
            teacher_output = self.teacher(x)

        if self.config.use_mixup:
            mixup_x, *mixup_y = self.mixup_batch(x, y, *self.previous_batch)
            logits = self(mixup_x)
            loss = self.criterion(logits, mixup_y, teacher_output)
        else:
            logits = self(x)
            loss = self.criterion(logits, y, teacher_output)

        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            accuracy = self.metric(logits.argmax(dim=-1), y)
        tensorboard_logs = {"train_loss": loss, "train_acc": accuracy}

        return {"loss": loss, "progress_bar": tensorboard_logs, "log": tensorboard_logs}

    def validation_step(self, batch, *args):
        x, y = batch[0]["image"], batch[1]
        logits = self(x)
        with torch.no_grad():
            teacher_output = self.teacher(x)
        val_loss = self.criterion(logits, y, teacher_output)
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            val_accuracy = self.metric(logits.argmax(dim=-1), y)
        return {"val_loss": val_loss, "val_acc": val_accuracy}

    def test_step(self, batch, *args):
        x, y = batch[0]["image"], batch[1]
        logits = self(x)
        with warnings.catch_warnings():
            warnings.simplefilter("ignore")
            test_accuracy = self.metric(logits.argmax(dim=-1), y)
        return {"test_acc": test_accuracy}

Training

In the cell below you can set up the training process. Change values in the dictionary to turn on tricks and adjust hyperparameters.

from dataclasses import dataclass

@dataclass
class Config:
  workers: int = 4 # Number of data loading workers
  use_smoothing: bool = True # Use label smoothing trick
  smoothing: float = 0.2 # Coefficient for label smoothing (from 0.0 (no smoothing) to 1.0)
  use_mixup: bool = True # Use mixup augmentation during training
  mixup_alpha: float = 0.2 # Alpha value for mixup augmentation
  use_cosine_scheduler: bool = True # Use Cosine LR Scheduler instead of MultiStep
  batch_size: int = 32 # Mini-batch size
  lr: float = 1e-4 # Initial learning rate
  milestones: tuple = (15, 30) # Milestones for dropping the LR
  warmup: int = 6 # Number of epochs to warm up the LR. -1 to turn off
  max_epochs: int = 40 # Max number of epochs
  amp_level: str = 'O1' # Apex optimization level
  num_classes: int = 21 # Number of classes in the dataset
  use_knowledge_distillation: bool = True # Use knowledge distillation from resnet-50
  distill_alpha: float = 0.5 # Distillation strength
  distill_temperature: int = 20 # Temperature hyper-parameter to make the outputs smoother for KD

Load the tensorboard:

%load_ext tensorboard
%tensorboard --logdir lightning_logs/

<IPython.core.display.Javascript object>

Run the code below to start the training:

from pytorch_lightning import (
    Trainer,
    seed_everything,
)
from pytorch_lightning.callbacks import ModelCheckpoint
from torchvision.models import resnet18, resnet50

seed_everything(42)

config = Config()

checkpoint_callback = ModelCheckpoint(monitor="avg_val_acc", mode="max")
trainer = Trainer(
    gpus=1,
    amp_level=config.amp_level,
    amp_backend='apex',
    precision=16 if config.amp_level != 'O0' else 32,
    deterministic=True,
    benchmark=False,
    checkpoint_callback=checkpoint_callback,
    max_epochs=config.max_epochs
)

# create model
model = resnet18(pretrained=True)
if config.use_knowledge_distillation:
    teacher_model = resnet50(pretrained=False)
    model = LitFood101KD(model, teacher_model, config)
else:
    model = LitFood101(model, config)

trainer.fit(model)

GPU available: True, used: True
TPU available: False, using: 0 TPU cores
CUDA_VISIBLE_DEVICES: [0]
Using APEX 16bit precision.
Downloading: "https://download.pytorch.org/models/resnet18-5c106cde.pth" to /root/.cache/torch/hub/checkpoints/resnet18-5c106cde.pth

HBox(children=(FloatProgress(value=0.0, max=46827520.0), HTML(value='')))

/usr/local/lib/python3.6/dist-packages/pytorch_lightning/utilities/distributed.py:37: UserWarning: Could not log computational graph since the `model.example_input_array` attribute is not set or `input_array` was not given
  warnings.warn(*args, **kwargs)

  | Name      | Type                  | Params
----------------------------------------------------
0 | model     | ResNet                | 11 M  
1 | metric    | Accuracy              | 0     
2 | teacher   | ResNet                | 23 M  
3 | criterion | MixUpAugmentationLoss | 0     

Selected optimization level O1:  Insert automatic casts around Pytorch functions and Tensor methods.

Defaults for this optimization level are:
enabled                : True
opt_level              : O1
cast_model_type        : None
patch_torch_functions  : True
keep_batchnorm_fp32    : None
master_weights         : None
loss_scale             : dynamic
Processing user overrides (additional kwargs that are not None)...
After processing overrides, optimization options are:
enabled                : True
opt_level              : O1
cast_model_type        : None
patch_torch_functions  : True
keep_batchnorm_fp32    : None
master_weights         : None
loss_scale             : dynamic

HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Validation sanity check', layout=Layout…

HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Training', layout=Layout(flex='2'), max…

HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Validating', layout=Layout(flex='2'), m…

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Gradient overflow.  Skipping step, loss scaler 0 reducing loss scale to 65536.0

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Gradient overflow.  Skipping step, loss scaler 0 reducing loss scale to 65536.0

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Gradient overflow.  Skipping step, loss scaler 0 reducing loss scale to 131072.0

HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Validating', layout=Layout(flex='2'), m…

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Gradient overflow.  Skipping step, loss scaler 0 reducing loss scale to 131072.0

HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Validating', layout=Layout(flex='2'), m…

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Testing

Run the cell below to test a model that has been trained.

trainer.test()