tensorflow - tensor2tensor - v1.0.12

た入场券 2023-02-14 01:18 20阅读 0赞

#  tensorflow - tensor2tensor - v1.0.12 #

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.  
深度学习模型和数据集的库，旨在使深度学习更易于访问并加速 ML 研究。`tensor2tensor` 是一个库，里面封装了很多的模型。

[https://github.com/tensorflow/tensor2tensor][https_github.com_tensorflow_tensor2tensor]  
[https://github.com/tensorflow/tensor2tensor/releases][https_github.com_tensorflow_tensor2tensor_releases]  
[https://github.com/tensorflow/tensor2tensor/tags][https_github.com_tensorflow_tensor2tensor_tags]  
[https://github.com/tensorflow/tensor2tensor/releases/tag/v1.0.12][https_github.com_tensorflow_tensor2tensor_releases_tag_v1.0.12]  
[https://github.com/tensorflow/tensor2tensor/tree/v1.0.12][https_github.com_tensorflow_tensor2tensor_tree_v1.0.12]  
[https://github.com/tensorflow/tensorflow/tree/r1.4][https_github.com_tensorflow_tensorflow_tree_r1.4]  
[https://tensorflow.google.cn/install/source][https_tensorflow.google.cn_install_source]

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2NoZW5neXExMTY_size_16_color_FFFFFF_t_70_pic_center]

T2T is a modular and extensible library and binaries for supervised learning with TensorFlow and with support for sequence tasks. It is actively used and maintained by researchers and engineers within the Google Brain team. You can read more about Tensor2Tensor in the recent Google Research Blog post introducing it.  
[https://github.com/tensorflow/tensor2tensor/issues][https_github.com_tensorflow_tensor2tensor_issues]  
[https://github.com/tensorflow/tensor2tensor/blob/v1.0.12/CONTRIBUTING.md][https_github.com_tensorflow_tensor2tensor_blob_v1.0.12_CONTRIBUTING.md]  
[https://gitter.im/tensor2tensor/Lobby][https_gitter.im_tensor2tensor_Lobby]

`tensor2tensor` 主要有 4 个步骤：生成数据、训练、解码、评分。

## 0. References ##

**The Illustrated Transformer**  
[https://jalammar.github.io/illustrated-transformer/][https_jalammar.github.io_illustrated-transformer]  
**Kyubyong - transformer**  
[https://github.com/Kyubyong/transformer][https_github.com_Kyubyong_transformer]

## 1. T2T: Tensor2Tensor Transformers - v1.0.12 ##

yongqiang@yongqiang:~$ ls
    yongqiang@yongqiang:~$
    yongqiang@yongqiang:~$ mkdir software
    yongqiang@yongqiang:~$ mkdir tensorflow_work
    yongqiang@yongqiang:~$ mkdir yongqiang
    yongqiang@yongqiang:~$ ls
    software  tensorflow_work  yongqiang
    yongqiang@yongqiang:~$
    yongqiang@yongqiang:~$ ll
    total 8
    drwxr-xr-x 1 yongqiang yongqiang  512 May 30 07:27 ./
    drwxr-xr-x 1 root      root       512 Apr 30 17:52 ../
    -rw------- 1 yongqiang yongqiang  396 May 30 07:26 .bash_history
    -rw-r--r-- 1 yongqiang yongqiang  220 Apr 30 17:52 .bash_logout
    -rw-r--r-- 1 yongqiang yongqiang 3771 Apr 30 17:52 .bashrc
    drwxrwxrwx 1 yongqiang yongqiang  512 Apr 30 17:52 .cache/
    drwx------ 1 yongqiang yongqiang  512 Apr 30 17:52 .config/
    -rw-r--r-- 1 yongqiang yongqiang  807 Apr 30 17:52 .profile
    -rw------- 1 yongqiang yongqiang    7 May  2 09:17 .python_history
    -rw-r--r-- 1 yongqiang yongqiang    0 May  2 08:15 .sudo_as_admin_successful
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:27 software/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:27 tensorflow_work/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:27 yongqiang/
    yongqiang@yongqiang:~$
    yongqiang@yongqiang:~$ mkdir tensor2tensor
    yongqiang@yongqiang:~$ cd tensor2tensor/
    yongqiang@yongqiang:~/tensor2tensor$ mkdir v1_0_12
    yongqiang@yongqiang:~/tensor2tensor$ ls
    v1_0_12
    yongqiang@yongqiang:~/tensor2tensor$ cd v1_0_12/
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12$ ls
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12$
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12$ git clone https://github.com/tensorflow/tensor2tensor.git
    Cloning into 'tensor2tensor'...
    remote: Enumerating objects: 5, done.
    remote: Counting objects: 100% (5/5), done.
    remote: Compressing objects: 100% (5/5), done.
    remote: Total 32312 (delta 0), reused 5 (delta 0), pack-reused 32307
    Receiving objects: 100% (32312/32312), 15.47 MiB | 46.00 KiB/s, done.
    Resolving deltas: 100% (26143/26143), done.
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12$
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12$ ls
    tensor2tensor
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12$
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12$ cd tensor2tensor/
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ ll
    total 52
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 07:49 ./
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 07:43 ../
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 07:49 .git/
    -rw-rw-rw- 1 yongqiang yongqiang   310 May 30 07:49 .gitignore
    -rw-rw-rw- 1 yongqiang yongqiang   779 May 30 07:49 .travis.yml
    -rw-rw-rw- 1 yongqiang yongqiang   311 May 30 07:49 AUTHORS
    -rw-rw-rw- 1 yongqiang yongqiang  1280 May 30 07:49 CONTRIBUTING.md
    -rw-rw-rw- 1 yongqiang yongqiang   266 May 30 07:49 ISSUE_TEMPLATE.md
    -rw-rw-rw- 1 yongqiang yongqiang 11358 May 30 07:49 LICENSE
    -rw-rw-rw- 1 yongqiang yongqiang 19726 May 30 07:49 README.md
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 07:49 docs/
    -rw-rw-rw- 1 yongqiang yongqiang    34 May 30 07:49 floyd.yml
    -rw-rw-rw- 1 yongqiang yongqiang    14 May 30 07:49 floyd_requirements.txt
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 07:49 oss_scripts/
    -rw-rw-rw- 1 yongqiang yongqiang  7866 May 30 07:49 pylintrc
    -rw-rw-rw- 1 yongqiang yongqiang  3413 May 30 07:49 setup.py
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 07:49 tensor2tensor/
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git status
    On branch master
    Your branch is up to date with 'origin/master'.
    
    nothing to commit, working tree clean
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

`git branch` \- 查看本地所有分支 (结果列表中前面标 `*` 号表示本地当前使用的分支)。  
`git branch` 命令，如果不加任何参数运行它，会得到当前所有分支的一个列表。注意 `master` 分支前的 `*` 字符：它代表现在检出的那一个分支 (也就是说，当前 `HEAD` 指针所指向的分支)。这意味着如果在这时候提交，`master` 分支将会随着新的工作向前移动。如果需要查看每一个分支的最后一次提交，可以运行 `git branch -v` 命令。

yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git branch
    * master
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

`git branch -a` \- 查看所有分支 (本地 + 远程)。

yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git branch -a
    * master
      remotes/origin/HEAD -> origin/master
      remotes/origin/master
      remotes/origin/revert-1726-master
      remotes/origin/revert-1749-revert-1726-master
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

`git branch -r` \- 查看远程所有分支。

yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git branch -r
      origin/HEAD -> origin/master
      origin/master
      origin/revert-1726-master
      origin/revert-1749-revert-1726-master
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

Git 可以给仓库历史中的某一个提交打上标签，以示重要。比较有代表性的是人们会使用这个功能来标记发布结点 (`v1.0`、`v2.0` 等等)。

在 Git 中列出已有的标签非常简单，只需要输入 `git tag` (可带上可选的 `-l` 选项 `--list`)。这个命令以字母顺序列出标签，但是它们显示的顺序并不重要。

按照通配符列出标签需要 `-l` 或 `--list` 选项。如果你只想要完整的标签列表，那么运行 `git tag` 就会默认假定你想要一个列表，它会直接给你列出来， 此时的 `-l`或 `--list` 是可选的。如果你提供了一个匹配标签名的通配模式，那么 `-l` 或 `--list` 就是强制使用的。

yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git tag
    1.3.2
    v.1.12.0
    v1.0.10
    v1.0.11
    v1.0.12
    v1.0.13
    v1.0.14
    ......
    v1.9.0
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git tag -l
    1.3.2
    v.1.12.0
    v1.0.10
    v1.0.11
    v1.0.12
    v1.0.13
    v1.0.14
    ......
    v1.9.0
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git tag -l 'v1.0.*'
    v1.0.10
    v1.0.11
    v1.0.12
    v1.0.13
    v1.0.14
    v1.0.3
    v1.0.4
    v1.0.5
    v1.0.6
    v1.0.7
    v1.0.8
    v1.0.9
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

`git show v1.0.12` \- 查看 `tag` `v1.0.12` 的版本信息。

yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git show v1.0.12
    commit 83ac9fb735930c4e1b3b14504e63c1c55b95da75 (tag: v1.0.12)
    Merge: fbb6f9ae 54622a51
    Author: Lukasz Kaiser <lukaszkaiser@users.noreply.github.com>
    Date:   Fri Jul 7 17:30:39 2017 -0700
    
        Merge pull request #118 from lukaszkaiser/push
    
        1.0.12
    
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

`git checkout tag_name` \- `git` 切换到某个 `tag`，`git` 可能会提示你当前处于一个 `detached HEAD` 状态。因为 `tag` 相当于是一个快照，是不能更改它的代码的。如果要在 `tag` 代码的基础上做修改，你需要新建一个分支。

yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git checkout v1.0.12
    Note: checking out 'v1.0.12'.
    
    You are in 'detached HEAD' state. You can look around, make experimental
    changes and commit them, and you can discard any commits you make in this
    state without impacting any branches by performing another checkout.
    
    If you want to create a new branch to retain commits you create, you may
    do so (now or later) by using -b with the checkout command again. Example:
    
      git checkout -b <new-branch-name>
    
    HEAD is now at 83ac9fb7 Merge pull request #118 from lukaszkaiser/push
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ git status
    HEAD detached at v1.0.12
    nothing to commit, working tree clean
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ ls
    AUTHORS  CONTRIBUTING.md  LICENSE  README.md  setup.py  tensor2tensor
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$ ll
    total 32
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 08:10 ./
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 07:43 ../
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 08:10 .git/
    -rw-rw-rw- 1 yongqiang yongqiang   251 May 30 08:10 .gitignore
    -rw-rw-rw- 1 yongqiang yongqiang   293 May 30 08:10 AUTHORS
    -rw-rw-rw- 1 yongqiang yongqiang   969 May 30 08:10 CONTRIBUTING.md
    -rw-rw-rw- 1 yongqiang yongqiang 11358 May 30 07:49 LICENSE
    -rw-rw-rw- 1 yongqiang yongqiang  9069 May 30 08:10 README.md
    -rw-rw-rw- 1 yongqiang yongqiang   988 May 30 08:10 setup.py
    drwxrwxrwx 1 yongqiang yongqiang   512 May 30 08:10 tensor2tensor/
    yongqiang@yongqiang:~/tensor2tensor/v1_0_12/tensor2tensor$

## 2. Tensorflow 1.4.1 ##

## 3. Walkthrough ##

Here’s a walkthrough training a good English-to-German translation model using the Transformer model from `Attention Is All You Need` on WMT data.  
[https://arxiv.org/abs/1706.03762][https_arxiv.org_abs_1706.03762]

Workshop on Statistical Machine Translation，WMT

### 3.1 安装 `tensor2tensor 1.0.12` ###

[https://pypi.org/project/tensor2tensor/][https_pypi.org_project_tensor2tensor]  
`Tensor2Tensor`, or `T2T` for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. We keep it running and welcome bug-fixes, but encourage users to use the successor library `Trax`.

*  安装 `tensor2tensor 1.0.12` \- `pip install tensor2tensor==1.0.12`

(base) yongqiang@yongqiang:~$ conda env list
    # conda environments:
    #
    base                  *  /home/yongqiang/miniconda3
    tf_cpu_1.4.1             /home/yongqiang/miniconda3/envs/tf_cpu_1.4.1
    
    (base) yongqiang@yongqiang:~$
    (base) yongqiang@yongqiang:~$ conda activate tf_cpu_1.4.1
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ls
    miniconda3  pycharm_work  software  tensor2tensor  tensorflow_work  yongqiang
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ pip install tensor2tensor==1.0.12
    Collecting tensor2tensor==1.0.12
      Downloading https://files.pythonhosted.org/packages/9c/c3/d14192a122d7beb5f915b11e3f809ee07e636c5aae4259eedaa73dedc7a9/tensor2tensor-1.0.12-py2.py3-none-any.whl (195kB)
        100% |████████████████████████████████| 204kB 9.1kB/s
    Requirement already satisfied: numpy in ./miniconda3/envs/tf_cpu_1.4.1/lib/python3.5/site-packages (from tensor2tensor==1.0.12) (1.16.4)
    Requirement already satisfied: six in ./miniconda3/envs/tf_cpu_1.4.1/lib/python3.5/site-packages (from tensor2tensor==1.0.12) (1.15.0)
    Collecting sympy (from tensor2tensor==1.0.12)
      Downloading https://files.pythonhosted.org/packages/a4/ea/590e1f2c73a1b8f878a1398b0edbf261d660439a9f851accb39db73d8e2f/sympy-1.6-py3-none-any.whl (5.8MB)
        100% |████████████████████████████████| 5.8MB 88kB/s
    Collecting mpmath>=0.19 (from sympy->tensor2tensor==1.0.12)
      Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)",)': /simple/mpmath/
      Downloading https://files.pythonhosted.org/packages/ca/63/3384ebb3b51af9610086b23ea976e6d27d6d97bf140a76a365bd77a3eb32/mpmath-1.1.0.tar.gz (512kB)
        100% |████████████████████████████████| 522kB 151kB/s
    Building wheels for collected packages: mpmath
      Running setup.py bdist_wheel for mpmath ... done
      Stored in directory: /home/yongqiang/.cache/pip/wheels/63/9d/8e/37c3f6506ed3f152733a699e92d8e0c9f5e5f01dea262f80ad
    Successfully built mpmath
    Installing collected packages: mpmath, sympy, tensor2tensor
    Successfully installed mpmath-1.1.0 sympy-1.6 tensor2tensor-1.0.12
    You are using pip version 10.0.1, however version 20.2b1 is available.
    You should consider upgrading via the 'pip install --upgrade pip' command.
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

*  `t2t-trainer --registry_help`  
    See what problems, models, and hyperparameter sets are available. You can easily swap between them (and add new ones).

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ t2t-trainer --registry_help
    INFO:tensorflow:
    Registry contents:
    ------------------
    
      Models: ['attention_lm', 'attention_lm_moe', 'baseline_lstm_seq2seq', 'baseline_lstm_seq2seq_attention', 'blue_net', 'byte_net', 'diagonal_neural_gpu', 'multi_model', 'neural_gpu', 'slice_net', 'transformer', 'xception']
    
      HParams (by model):
        * attention: ['attention_lm_base', 'attention_lm_moe_base', 'attention_lm_moe_large', 'attention_lm_moe_small']
        * basic: ['basic_1']
        * bluenet: ['bluenet_base', 'bluenet_tiny']
        * bytenet: ['bytenet_base']
        * lstm: ['lstm_attention']
        * multimodel: ['multimodel_base', 'multimodel_tiny']
        * neuralgpu: ['neuralgpu_1']
        * slicenet: ['slicenet_1', 'slicenet_1noam', 'slicenet_1tiny']
        * transformer: ['transformer_base', 'transformer_base_single_gpu', 'transformer_big', 'transformer_big_dr1', 'transformer_big_dr2', 'transformer_big_enfr', 'transformer_big_single_gpu', 'transformer_dr0', 'transformer_dr2', 'transformer_ff1024', 'transformer_ff4096', 'transformer_h1', 'transformer_h16', 'transformer_h32', 'transformer_h4', 'transformer_hs1024', 'transformer_hs256', 'transformer_k128', 'transformer_k256', 'transformer_l2', 'transformer_l4', 'transformer_l8', 'transformer_ls0', 'transformer_ls2', 'transformer_parameter_attention_a', 'transformer_parameter_attention_b', 'transformer_parsing_base', 'transformer_parsing_big', 'transformer_tiny']
        * xception: ['xception_base', 'xception_tiny']
    
      RangedHParams: ['basic1', 'slicenet1', 'transformer_big_single_gpu']
    
      Modalities: ['audio:audio_spectral_modality', 'audio:default', 'audio:identity', 'class_label:class_label_2d', 'class_label:default', 'class_label:identity', 'generic:default', 'image:default', 'image:identity', 'image:small_image_modality', 'symbol:default', 'symbol:identity']
    
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

### 3.2 创建项目目录 ###

PROBLEM=wmt_ende_tokens_32k
    MODEL=transformer
    HPARAMS=transformer_base_single_gpu
    
    DATA_DIR=$HOME/t2t_data
    TMP_DIR=/tmp/t2t_datagen
    TRAIN_DIR=$HOME/t2t_train/$PROBLEM/$MODEL-$HPARAMS
    
    mkdir -p $DATA_DIR $TMP_DIR $TRAIN_DIR

`TMP_DIR=/tmp/t2t_datagen` 修改为 `TMP_DIR=$HOME/t2t_datagen` 较佳。

`PROBLEM=translate_ende_wmt32k` 用来生成数据集，并定义任务的类型。这里选择的是翻译任务 (translate)，从英语翻译成德文 (ende)，选择使用 `transformer model`。

`HPARAMS`：超参数。  
`DATA_DIR`：用于训练的数据。  
`TMP_DIR`：未经处理的原始数据，`tensor2tensor` 提供的数据。  
`TRAIN_DIR`：在训练过程中产生的文件。

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ echo $HOME
    /home/yongqiang
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll
    total 20
    drwxr-xr-x 1 yongqiang yongqiang  512 May 31 09:17 ./
    drwxr-xr-x 1 root      root       512 Apr 30 17:52 ../
    -rw------- 1 yongqiang yongqiang 3816 May 31 10:24 .bash_history
    -rw-r--r-- 1 yongqiang yongqiang  220 Apr 30 17:52 .bash_logout
    -rw-r--r-- 1 yongqiang yongqiang 4377 May 31 09:17 .bashrc
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 00:03 .cache/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:53 .conda/
    drwx------ 1 yongqiang yongqiang  512 May 31 09:53 .config/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 00:03 .java/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 20:20 .keras/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 00:04 .local/
    -rw-r--r-- 1 yongqiang yongqiang  807 Apr 30 17:52 .profile
    -rw------- 1 yongqiang yongqiang  355 May 30 21:42 .python_history
    -rw-r--r-- 1 yongqiang yongqiang    0 May  2 08:15 .sudo_as_admin_successful
    -rw------- 1 yongqiang yongqiang  794 May 31 09:17 .viminfo
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:53 miniconda3/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 09:09 pycharm_work/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 09:55 software/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:43 tensor2tensor/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:27 tensorflow_work/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:27 yongqiang/
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ PROBLEM=wmt_ende_tokens_32k
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ MODEL=transformer
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ HPARAMS=transformer_base_single_gpu
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ DATA_DIR=$HOME/t2t_data
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ TMP_DIR=/tmp/t2t_datagen
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ TRAIN_DIR=$HOME/t2t_train/$PROBLEM/$MODEL-$HPARAMS
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ mkdir -p $DATA_DIR $TMP_DIR $TRAIN_DIR
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll
    total 20
    drwxr-xr-x 1 yongqiang yongqiang  512 May 31 16:28 ./
    drwxr-xr-x 1 root      root       512 Apr 30 17:52 ../
    -rw------- 1 yongqiang yongqiang 3816 May 31 10:24 .bash_history
    -rw-r--r-- 1 yongqiang yongqiang  220 Apr 30 17:52 .bash_logout
    -rw-r--r-- 1 yongqiang yongqiang 4377 May 31 09:17 .bashrc
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 00:03 .cache/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:53 .conda/
    drwx------ 1 yongqiang yongqiang  512 May 31 09:53 .config/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 00:03 .java/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 20:20 .keras/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 00:04 .local/
    -rw-r--r-- 1 yongqiang yongqiang  807 Apr 30 17:52 .profile
    -rw------- 1 yongqiang yongqiang  355 May 30 21:42 .python_history
    -rw-r--r-- 1 yongqiang yongqiang    0 May  2 08:15 .sudo_as_admin_successful
    -rw------- 1 yongqiang yongqiang  794 May 31 09:17 .viminfo
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:53 miniconda3/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 09:09 pycharm_work/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 09:55 software/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 16:28 t2t_data/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 31 16:28 t2t_train/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:43 tensor2tensor/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:27 tensorflow_work/
    drwxrwxrwx 1 yongqiang yongqiang  512 May 30 07:27 yongqiang/
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ls /tmp/t2t_datagen/
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

### 3.3 生成数据 ###

`https://github.com/tensorflow/tensor2tensor/tree/v1.0.12`

# Generate data
    t2t-datagen --data_dir=$DATA_DIR --tmp_dir=$TMP_DIR --num_shards=100 --problem=$PROBLEM
    
    cp $TMP_DIR/tokens.vocab.* $DATA_DIR

`https://github.com/tensorflow/tensor2tensor`

# Generate data
    t2t-datagen --data_dir=$DATA_DIR --tmp_dir=$TMP_DIR --problem=$PROBLEM

`https://github.com/tensorflow/tensor2tensor/tree/v1.0.12`

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ t2t-datagen --data_dir=$DATA_DIR --tmp_dir=$TMP_DIR --num_shards=100 --problem=$PROBLEM
    INFO:tensorflow:Generating problems:
      * wmt_ende_tokens_32k
    
    INFO:tensorflow:Generating training data for wmt_ende_tokens_32k.
    INFO:tensorflow:Generating vocab from: [['http://data.statmt.org/wmt16/translation-task/training-parallel-nc-v11.tgz', ['training-parallel-nc-v11/news-commentary-v11.de-en.en', 'training-parallel-nc-v11/news-commentary-v11.de-en.de']], ['http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz', ['commoncrawl.de-en.en', 'commoncrawl.de-en.de', 'commoncrawl.fr-en.en', 'commoncrawl.fr-en.fr']], ['http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz', ['training/europarl-v7.de-en.en', 'training/europarl-v7.de-en.de', 'training/europarl-v7.fr-en.en', 'training/europarl-v7.fr-en.fr']], ['http://www.statmt.org/wmt10/training-giga-fren.tar', ['giga-fren.release2.fixed.en.gz', 'giga-fren.release2.fixed.fr.gz']], ['http://www.statmt.org/wmt13/training-parallel-un.tgz', ['un/undoc.2000.fr-en.en', 'un/undoc.2000.fr-en.fr']]]
    INFO:tensorflow:Downloading http://data.statmt.org/wmt16/translation-task/training-parallel-nc-v11.tgz to /tmp/t2t_datagen/training-parallel-nc-v11.tgz
    100% completed
    INFO:tensorflow:Succesfully downloaded training-parallel-nc-v11.tgz, 75178032 bytes.
    INFO:tensorflow:Reading file: training-parallel-nc-v11/news-commentary-v11.de-en.en
    INFO:tensorflow:Reading file: training-parallel-nc-v11/news-commentary-v11.de-en.de
    INFO:tensorflow:Downloading http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz to /tmp/t2t_datagen/training-parallel-commoncrawl.tgz
    100% completed
    INFO:tensorflow:Succesfully downloaded training-parallel-commoncrawl.tgz, 918311367 bytes.
    INFO:tensorflow:Reading file: commoncrawl.de-en.en
    INFO:tensorflow:Reading file: commoncrawl.de-en.de
    INFO:tensorflow:Reading file: commoncrawl.fr-en.en
    INFO:tensorflow:Reading file: commoncrawl.fr-en.fr
    INFO:tensorflow:Downloading http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz to /tmp/t2t_datagen/training-parallel-europarl-v7.tgz
    100% completed
    INFO:tensorflow:Succesfully downloaded training-parallel-europarl-v7.tgz, 657632379 bytes.
    INFO:tensorflow:Reading file: training/europarl-v7.de-en.en
    INFO:tensorflow:Reading file: training/europarl-v7.de-en.de
    INFO:tensorflow:Reading file: training/europarl-v7.fr-en.en
    INFO:tensorflow:Reading file: training/europarl-v7.fr-en.fr
    INFO:tensorflow:Downloading http://www.statmt.org/wmt10/training-giga-fren.tar to /tmp/t2t_datagen/training-giga-fren.tar
    100% completed
    INFO:tensorflow:Succesfully downloaded training-giga-fren.tar, 2595102720 bytes.
    INFO:tensorflow:Reading file: giga-fren.release2.fixed.en.gz
    INFO:tensorflow:Unpacking subdirectory /tmp/t2t_datagen/giga-fren.release2.fixed.en.gz
    INFO:tensorflow:Unpacking /tmp/t2t_datagen/giga-fren.release2.fixed.en.gz to /tmp/t2t_datagen/giga-fren.release2.fixed.en
    INFO:tensorflow:Reading file: giga-fren.release2.fixed.fr.gz
    INFO:tensorflow:Unpacking subdirectory /tmp/t2t_datagen/giga-fren.release2.fixed.fr.gz
    INFO:tensorflow:Unpacking /tmp/t2t_datagen/giga-fren.release2.fixed.fr.gz to /tmp/t2t_datagen/giga-fren.release2.fixed.fr
    INFO:tensorflow:Downloading http://www.statmt.org/wmt13/training-parallel-un.tgz to /tmp/t2t_datagen/training-parallel-un.tgz
    100% completed
    INFO:tensorflow:Succesfully downloaded training-parallel-un.tgz, 2365634246 bytes.
    INFO:tensorflow:Reading file: un/undoc.2000.fr-en.en
    INFO:tensorflow:Reading file: un/undoc.2000.fr-en.fr
    INFO:tensorflow:Trying min_count 500
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 2692
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 1276
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 1387
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 1368
    [680, 355, 406, 56, 294, 836, 993, 9, 150, 6, 847, 225, 386, 66, 824, 178, 75, 662, 200, 33, 5]
    ['This_', 'sen', 'ten', 'ce_', 'was_', 'enc', 'ode', 'd_', 'by_', 'the_', 'Su', 'b', 'wor', 'd', 'Te', 'x', 't', 'En', 'co', 'der_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 250
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 4921
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 2180
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 2346
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 2285
    [395, 1321, 483, 43, 135, 2261, 2019, 2, 72, 6, 500, 298, 755, 101, 488, 311, 103, 954, 207, 31, 5]
    ['This_', 'sen', 'ten', 'ce_', 'was_', 'enco', 'ded', '_', 'by_', 'the_', 'Su', 'b', 'wor', 'd', 'Te', 'x', 't', 'En', 'co', 'der_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 125
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 9071
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 3656
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 3904
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 3833
    [192, 3413, 657, 90, 3537, 1574, 60, 6, 256, 283, 1522, 404, 2153, 945, 455, 29, 4]
    ['This_', 'sent', 'ence_', 'was_', 'enco', 'ded_', 'by_', 'the_', 'Su', 'b', 'word', 'Te', 'xt', 'En', 'co', 'der_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 62
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 16030
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 6094
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 6398
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 6337
    [147, 1998, 1162, 62, 85, 1056, 6214, 15, 55, 5, 534, 455, 1287, 271, 563, 3898, 770, 574, 29, 4]
    ['This_', 'sen', 'ten', 'ce_', 'was_', 'enc', 'ode', 'd_', 'by_', 'the_', 'Su', 'b', 'wor', 'd', 'Te', 'xt', 'En', 'co', 'der_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 31
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 26906
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 9865
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 10224
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 10176
    [132, 2700, 1926, 75, 4758, 2027, 53, 5, 3728, 2585, 346, 5471, 329, 1095, 7275, 40, 4]
    ['This_', 'sent', 'ence_', 'was_', 'enco', 'ded_', 'by_', 'the_', 'Sub', 'wor', 'd', 'Tex', 't', 'En', 'cod', 'er_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 15
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 44146
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 15834
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 16294
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 16224
    [119, 10073, 565, 71, 6733, 2317, 49, 5, 4054, 3493, 998, 10477, 1899, 6760, 40, 3]
    ['This_', 'sente', 'nce_', 'was_', 'enco', 'ded_', 'by_', 'the_', 'Sub', 'wor', 'd', 'Text', 'En', 'code', 'r_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 7
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 71625
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 25196
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 25741
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 25660
    [113, 12454, 5, 66, 14726, 3859, 46, 4, 5460, 18242, 15158, 1333, 3106, 17159, 54, 3]
    ['This_', 'sentence', '_', 'was_', 'enco', 'ded_', 'by_', 'the_', 'Sub', 'word', 'Tex', 't', 'En', 'code', 'r_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 3
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 118383
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 40335
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 41029
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 40938
    [108, 15212, 62, 24807, 23, 42, 4, 14289, 17583, 26393, 11393, 19634, 95, 3]
    ['This_', 'sentence_', 'was_', 'encode', 'd_', 'by_', 'the_', 'Sub', 'word', 'Text', 'En', 'code', 'r_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 5
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 87678
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 30452
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 31135
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 31022
    [111, 20623, 64, 15493, 4478, 45, 4, 6387, 14372, 12204, 2310, 30424, 23, 3]
    ['This_', 'sentence_', 'was_', 'enco', 'ded_', 'by_', 'the_', 'Sub', 'word', 'Tex', 't', 'Enco', 'der_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Trying min_count 4
    INFO:tensorflow:Iteration 0
    INFO:tensorflow:vocab_size = 100818
    INFO:tensorflow:Iteration 1
    INFO:tensorflow:vocab_size = 34547
    INFO:tensorflow:Iteration 2
    INFO:tensorflow:vocab_size = 35306
    INFO:tensorflow:Iteration 3
    INFO:tensorflow:vocab_size = 35174
    [110, 17462, 63, 30500, 23, 45, 4, 19525, 12792, 11021, 3072, 25323, 21, 3]
    ['This_', 'sentence_', 'was_', 'encode', 'd_', 'by_', 'the_', 'Sub', 'word', 'Tex', 't', 'Enco', 'der_', '._']
    This sentence was encoded by the SubwordTextEncoder.
    INFO:tensorflow:Generating case 100000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 200000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 300000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 400000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 500000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 600000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 700000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 800000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 900000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1000000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1100000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1200000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1300000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1400000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1500000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1600000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1700000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1800000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 1900000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2000000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2100000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2200000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2300000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2400000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2500000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2600000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2700000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2800000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 2900000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3000000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3100000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3200000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3300000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3400000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3500000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3600000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3700000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3800000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 3900000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 4000000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 4100000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 4200000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 4300000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 4400000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating case 4500000 for wmt_ende_tokens_32k-unshuffled-train.
    INFO:tensorflow:Generating development data for wmt_ende_tokens_32k.
    INFO:tensorflow:Found vocab file: /tmp/t2t_datagen/tokens.vocab.32768
    INFO:tensorflow:Downloading http://data.statmt.org/wmt16/translation-task/dev.tgz to /tmp/t2t_datagen/dev.tgz
    100% completed
    INFO:tensorflow:Succesfully downloaded dev.tgz, 22836484 bytes.
    INFO:tensorflow:Shuffling data...
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

`--tmp_dir=$TMP_DIR` 文件夹下数据：

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /tmp/t2t_datagen/
    total 21037120
    drwxrwxrwx 1 yongqiang yongqiang        512 Jun  1 03:51 ./
    drwxrwxrwt 1 root      root             512 Jun  1 07:42 ../
    -rw-r--r-- 1 yongqiang yongqiang    2310368 Jan 12  2013 commoncrawl.cs-en.annotation
    -rw-r--r-- 1 yongqiang yongqiang   20745616 Jan 12  2013 commoncrawl.cs-en.cs
    -rw-r--r-- 1 yongqiang yongqiang   20655491 Jan 12  2013 commoncrawl.cs-en.en
    -rw-r--r-- 1 yongqiang yongqiang   35544656 Jan 12  2013 commoncrawl.de-en.annotation
    -rw-r--r-- 1 yongqiang yongqiang  340513464 Jan 12  2013 commoncrawl.de-en.de
    -rw-r--r-- 1 yongqiang yongqiang  314178160 Jan 12  2013 commoncrawl.de-en.en
    -rw-r--r-- 1 yongqiang yongqiang   25951409 Jan 12  2013 commoncrawl.es-en.annotation
    -rw-r--r-- 1 yongqiang yongqiang  248845283 Jan 12  2013 commoncrawl.es-en.en
    -rw-r--r-- 1 yongqiang yongqiang  272813663 Jan 12  2013 commoncrawl.es-en.es
    -rw-r--r-- 1 yongqiang yongqiang   43896615 Jan 12  2013 commoncrawl.fr-en.annotation
    -rw-r--r-- 1 yongqiang yongqiang  434655470 Jan 12  2013 commoncrawl.fr-en.en
    -rw-r--r-- 1 yongqiang yongqiang  500374763 Jan 12  2013 commoncrawl.fr-en.fr
    -rw-r--r-- 1 yongqiang yongqiang   14945508 Jan 12  2013 commoncrawl.ru-en.annotation
    -rw-r--r-- 1 yongqiang yongqiang  116164488 Jan 12  2013 commoncrawl.ru-en.en
    -rw-r--r-- 1 yongqiang yongqiang  214585860 Feb 26  2013 commoncrawl.ru-en.ru
    drwxr-xr-x 1 yongqiang yongqiang        512 Jan  6  2016 dev/
    -rw-rw-rw- 1 yongqiang yongqiang   22836484 Jun  1 03:51 dev.tgz
    -rw-rw-rw- 1 yongqiang yongqiang 3789873031 Jun  1 02:22 giga-fren.release2.fixed.en
    -rw-rw-r-- 1 yongqiang yongqiang 1214224978 Aug 31  2016 giga-fren.release2.fixed.en.gz
    -rw-rw-rw- 1 yongqiang yongqiang 4565271815 Jun  1 02:24 giga-fren.release2.fixed.fr
    -rw-rw-r-- 1 yongqiang yongqiang 1380871453 Aug 30  2016 giga-fren.release2.fixed.fr.gz
    -rw-rw-rw- 1 yongqiang yongqiang     306558 Jun  1 03:32 tokens.vocab.32768
    drwxrwxrwx 1 yongqiang yongqiang        512 Jun  1 00:51 training/
    -rw-rw-rw- 1 yongqiang yongqiang 2595102720 Jun  1 02:20 training-giga-fren.tar
    -rw-rw-rw- 1 yongqiang yongqiang  918311367 May 31 21:48 training-parallel-commoncrawl.tgz
    -rw-rw-rw- 1 yongqiang yongqiang  657632379 Jun  1 00:51 training-parallel-europarl-v7.tgz
    drwxrwxr-x 1 yongqiang yongqiang        512 Jan  6  2016 training-parallel-nc-v11/
    -rw-rw-rw- 1 yongqiang yongqiang   75178032 May 31 17:39 training-parallel-nc-v11.tgz
    -rw-rw-rw- 1 yongqiang yongqiang 2365634246 Jun  1 03:28 training-parallel-un.tgz
    drwxrwxrwx 1 yongqiang yongqiang        512 Jun  1 03:30 un/
    -rw-rw-rw- 1 yongqiang yongqiang     332974 Jun  1 03:51 wmt_ende_tok_dev.lang1
    -rw-rw-rw- 1 yongqiang yongqiang     385433 Jun  1 03:51 wmt_ende_tok_dev.lang2
    -rw-rw-rw- 1 yongqiang yongqiang  636460447 Jun  1 03:33 wmt_ende_tok_train.lang1
    -rw-rw-rw- 1 yongqiang yongqiang  710260525 Jun  1 03:34 wmt_ende_tok_train.lang2
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

其中 `.lang1` 是英语语料，要翻译的数据。`.lang2` 是德语语料，翻译后的数据。

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /tmp/t2t_datagen/un
    total 8287744
    drwxrwxrwx 1 yongqiang yongqiang        512 Jun  1 03:30 ./
    drwxrwxrwx 1 yongqiang yongqiang        512 Jun  1 03:51 ../
    -rw-r--r-- 1 yongqiang yongqiang 1851755840 Oct 13  2011 undoc.2000.es-en.en
    -rw-r--r-- 1 yongqiang yongqiang 2121526762 Oct 13  2011 undoc.2000.es-en.es
    -rw-r--r-- 1 yongqiang yongqiang 2085411017 Oct 13  2011 undoc.2000.fr-en.en
    -rw-r--r-- 1 yongqiang yongqiang 2427161501 Oct 13  2011 undoc.2000.fr-en.fr
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /tmp/t2t_datagen/dev/
    total 83520
    drwxr-xr-x 1 yongqiang yongqiang    512 Jan  6  2016 ./
    drwxrwxrwx 1 yongqiang yongqiang    512 Jun  1 03:51 ../
    -rw-r--r-- 1 yongqiang yongqiang  16384 Jan 16  2014 .newsdev2014-ref.en.sgm.swp
    -rw-r--r-- 1 yongqiang yongqiang  16384 Jan 16  2014 .newstest2013-ref.en.sgm.swp
    -rw-r--r-- 1 yongqiang yongqiang 326194 Dec  3  2009 news-test2008-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 360808 Dec  3  2009 news-test2008-ref.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 325852 Dec  3  2009 news-test2008-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 351112 Dec  3  2009 news-test2008-ref.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 351196 Dec  3  2009 news-test2008-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 349559 Dec  3  2009 news-test2008-ref.hu.sgm
    -rw-r--r-- 1 yongqiang yongqiang 325101 Dec  3  2009 news-test2008-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 359715 Dec  3  2009 news-test2008-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 324759 Dec  3  2009 news-test2008-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 350019 Dec  3  2009 news-test2008-src.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 350103 Dec  3  2009 news-test2008-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 348466 Dec  3  2009 news-test2008-src.hu.sgm
    -rw-r--r-- 1 yongqiang yongqiang 267659 Dec 23  2009 news-test2008.cs
    -rw-r--r-- 1 yongqiang yongqiang 298369 Dec 23  2009 news-test2008.de
    -rw-r--r-- 1 yongqiang yongqiang 263240 Dec 23  2009 news-test2008.en
    -rw-r--r-- 1 yongqiang yongqiang 288487 Dec 23  2009 news-test2008.es
    -rw-r--r-- 1 yongqiang yongqiang 301220 Dec 23  2009 news-test2008.fr
    -rw-r--r-- 1 yongqiang yongqiang  68931 Jan 16  2014 newsdev2014-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 137001 Jan 16  2014 newsdev2014-ref.hi.sgm
    -rw-r--r-- 1 yongqiang yongqiang  68918 Jan 13  2014 newsdev2014-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 136988 Jan 13  2014 newsdev2014-src.hi.sgm
    -rw-r--r-- 1 yongqiang yongqiang  55133 Jan 13  2014 newsdev2014.en
    -rw-r--r-- 1 yongqiang yongqiang 123204 Jan 13  2014 newsdev2014.hi
    -rw-r--r-- 1 yongqiang yongqiang 216726 Jan 28  2015 newsdev2015-enfi-ref.fi.sgm
    -rw-r--r-- 1 yongqiang yongqiang 207286 Jan 28  2015 newsdev2015-enfi-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 207299 Jan 28  2015 newsdev2015-fien-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 216713 Jan 28  2015 newsdev2015-fien-src.fi.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 336460 Jan  6  2016 newsdev2016-enro-ref.ro.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 306002 Jan  6  2016 newsdev2016-enro-src.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 139478 Jan  6  2016 newsdev2016-entr-ref.tr.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 135181 Jan  6  2016 newsdev2016-entr-src.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 306015 Jan  6  2016 newsdev2016-roen-ref.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 336447 Jan  6  2016 newsdev2016-roen-src.ro.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 135194 Jan  6  2016 newsdev2016-tren-ref.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 139465 Jan  6  2016 newsdev2016-tren-src.tr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 188019 Jan 28  2015 newsdiscussdev2015-enfr-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 171890 Jan 28  2015 newsdiscussdev2015-enfr-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 171903 Jan 28  2015 newsdiscussdev2015-fren-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 188006 Jan 28  2015 newsdiscussdev2015-fren-src.fr.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 188490 Jan  6  2016 newsdiscusstest2015-enfr-ref.fr.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 170340 Jan  6  2016 newsdiscusstest2015-enfr-src.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 170353 Jan  6  2016 newsdiscusstest2015-fren-ref.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 188477 Jan  6  2016 newsdiscusstest2015-fren-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang  77096 Dec  3  2009 newssyscomb2009-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang  83899 Dec  3  2009 newssyscomb2009-ref.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang  76771 Dec  3  2009 newssyscomb2009-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang  83167 Dec  3  2009 newssyscomb2009-ref.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang  84788 Dec  3  2009 newssyscomb2009-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang  81826 Dec  3  2009 newssyscomb2009-ref.hu.sgm
    -rw-r--r-- 1 yongqiang yongqiang  80940 Dec  3  2009 newssyscomb2009-ref.it.sgm
    -rw-r--r-- 1 yongqiang yongqiang  76783 Dec  3  2009 newssyscomb2009-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang  83587 Dec  3  2009 newssyscomb2009-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang  76458 Dec  3  2009 newssyscomb2009-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang  82856 Dec  3  2009 newssyscomb2009-src.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang  84482 Dec  3  2009 newssyscomb2009-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang  81513 Dec  3  2009 newssyscomb2009-src.hu.sgm
    -rw-r--r-- 1 yongqiang yongqiang  80654 Dec  3  2009 newssyscomb2009-src.it.sgm
    -rw-r--r-- 1 yongqiang yongqiang  62880 Dec 10  2011 newssyscomb2009.cs
    -rw-r--r-- 1 yongqiang yongqiang  69689 Dec 10  2011 newssyscomb2009.de
    -rw-r--r-- 1 yongqiang yongqiang  62557 Dec 10  2011 newssyscomb2009.en
    -rw-r--r-- 1 yongqiang yongqiang  68947 Dec 10  2011 newssyscomb2009.es
    -rw-r--r-- 1 yongqiang yongqiang  70529 Dec 10  2011 newssyscomb2009.fr
    -rw-r--r-- 1 yongqiang yongqiang 417868 Dec  3  2009 newstest2009-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 452329 Dec  3  2009 newstest2009-ref.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 415276 Dec  3  2009 newstest2009-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 443880 Dec  3  2009 newstest2009-ref.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 460824 Dec  3  2009 newstest2009-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 448263 Dec  3  2009 newstest2009-ref.hu.sgm
    -rw-r--r-- 1 yongqiang yongqiang 434489 Dec  3  2009 newstest2009-ref.it.sgm
    -rw-r--r-- 1 yongqiang yongqiang 416524 Dec  3  2009 newstest2009-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 450989 Dec  3  2009 newstest2009-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 413934 Dec  3  2009 newstest2009-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 442554 Dec  3  2009 newstest2009-src.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 459552 Dec  3  2009 newstest2009-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 446918 Dec  3  2009 newstest2009-src.hu.sgm
    -rw-r--r-- 1 yongqiang yongqiang 433226 Dec  3  2009 newstest2009-src.it.sgm
    -rw-r--r-- 1 yongqiang yongqiang 413934 Dec  3  2009 newstest2009-src.xx.sgm
    -rw-r--r-- 1 yongqiang yongqiang 348154 Dec 23  2009 newstest2009.cs
    -rw-r--r-- 1 yongqiang yongqiang 382617 Dec 23  2009 newstest2009.de
    -rw-r--r-- 1 yongqiang yongqiang 345562 Dec 23  2009 newstest2009.en
    -rw-r--r-- 1 yongqiang yongqiang 374178 Dec 23  2009 newstest2009.es
    -rw-r--r-- 1 yongqiang yongqiang 391108 Dec 23  2009 newstest2009.fr
    -rw-r--r-- 1 yongqiang yongqiang 406600 Mar  5  2010 newstest2010-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 453580 Mar  5  2010 newstest2010-ref.de.sgm
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    -rw-r--r-- 1 yongqiang yongqiang 434326 Mar  5  2010 newstest2010-ref.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 453687 Mar  5  2010 newstest2010-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 405159 Mar  5  2010 newstest2010-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 452139 Mar  5  2010 newstest2010-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 397496 Mar  5  2010 newstest2010-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 432885 Mar  5  2010 newstest2010-src.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 452246 Mar  5  2010 newstest2010-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 336311 Mar  5  2010 newstest2010.cs
    -rw-r--r-- 1 yongqiang yongqiang 383291 Mar  5  2010 newstest2010.de
    -rw-r--r-- 1 yongqiang yongqiang 328648 Mar  5  2010 newstest2010.en
    -rw-r--r-- 1 yongqiang yongqiang 364037 Mar  5  2010 newstest2010.es
    -rw-r--r-- 1 yongqiang yongqiang 383398 Mar  5  2010 newstest2010.fr
    -rw-r--r-- 1 yongqiang yongqiang 485879 Nov 24  2011 newstest2011-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 530959 Mar 16  2011 newstest2011-ref.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 477272 Mar 16  2011 newstest2011-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 514062 Mar 16  2011 newstest2011-ref.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 537007 Mar 16  2011 newstest2011-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 484546 Mar 16  2011 newstest2011-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 529626 Mar 16  2011 newstest2011-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 475939 Mar 16  2011 newstest2011-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 512729 Mar 16  2011 newstest2011-src.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 535674 Mar 16  2011 newstest2011-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 405486 Dec 10  2011 newstest2011.cs
    -rw-r--r-- 1 yongqiang yongqiang 450571 Dec 10  2011 newstest2011.de
    -rw-r--r-- 1 yongqiang yongqiang 396884 Dec 10  2011 newstest2011.en
    -rw-r--r-- 1 yongqiang yongqiang 433659 Dec 10  2011 newstest2011.es
    -rw-r--r-- 1 yongqiang yongqiang 456618 Dec 10  2011 newstest2011.fr
    -rw-r--r-- 1 yongqiang yongqiang 484553 Feb 16  2012 newstest2012-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 524750 Feb 16  2012 newstest2012-ref.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 459733 Mar  3  2012 newstest2012-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 504934 Feb 16  2012 newstest2012-ref.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 518968 Feb 16  2012 newstest2012-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 776643 Jan 23  2013 newstest2012-ref.ru.sgm
    -rw-r--r-- 1 yongqiang yongqiang 483352 Mar  3  2012 newstest2012-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 523549 Mar  3  2012 newstest2012-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 458532 Mar  3  2012 newstest2012-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 503733 Mar  3  2012 newstest2012-src.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 517767 Mar  3  2012 newstest2012-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 776618 Jan 23  2013 newstest2012-src.ru.sgm
    -rw-r--r-- 1 yongqiang yongqiang 406578 Jan 23  2013 newstest2012.cs
    -rw-r--r-- 1 yongqiang yongqiang 446765 Jan 23  2013 newstest2012.de
    -rw-r--r-- 1 yongqiang yongqiang 381734 Jan 23  2013 newstest2012.en
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    -rw-r--r-- 1 yongqiang yongqiang 440985 Jan 23  2013 newstest2012.fr
    -rw-r--r-- 1 yongqiang yongqiang 699810 Jan 23  2013 newstest2012.ru
    -rw-r--r-- 1 yongqiang yongqiang 423686 Dec 13  2013 newstest2013-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 457608 Dec 13  2013 newstest2013-ref.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 405170 Dec 13  2013 newstest2013-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 451575 Dec 13  2013 newstest2013-ref.es.sgm
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    -rw-r--r-- 1 yongqiang yongqiang 699161 Dec 13  2013 newstest2013-ref.ru.sgm
    -rw-r--r-- 1 yongqiang yongqiang 423049 Dec 13  2013 newstest2013-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 456971 Dec 13  2013 newstest2013-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 404533 Dec 13  2013 newstest2013-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 450938 Dec 13  2013 newstest2013-src.es.sgm
    -rw-r--r-- 1 yongqiang yongqiang 465258 Dec 13  2013 newstest2013-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 698524 Dec 13  2013 newstest2013-src.ru.sgm
    -rw-r--r-- 1 yongqiang yongqiang 351491 Dec 13  2013 newstest2013.cs
    -rw-r--r-- 1 yongqiang yongqiang 385433 Dec 13  2013 newstest2013.de
    -rw-r--r-- 1 yongqiang yongqiang 332974 Dec 13  2013 newstest2013.en
    -rw-r--r-- 1 yongqiang yongqiang 379357 Dec 13  2013 newstest2013.es
    -rw-r--r-- 1 yongqiang yongqiang 393465 Dec 13  2013 newstest2013.fr
    -rw-r--r-- 1 yongqiang yongqiang 626964 Dec 13  2013 newstest2013.ru
    -rw-r--r-- 1 yongqiang yongqiang 444462 Jul  1  2014 newstest2014-csen-ref.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 428063 Jul  1  2014 newstest2014-csen-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 442757 Jul  1  2014 newstest2014-csen-src.cs.sgm
    -rw-r--r-- 1 yongqiang yongqiang 426358 Jul  1  2014 newstest2014-csen-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 468154 Jul  1  2014 newstest2014-deen-ref.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 428650 Jul  1  2014 newstest2014-deen-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 466173 Jul  1  2014 newstest2014-deen-src.de.sgm
    -rw-r--r-- 1 yongqiang yongqiang 426669 Jul  1  2014 newstest2014-deen-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 443970 Jul  1  2014 newstest2014-fren-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 514587 Jul  1  2014 newstest2014-fren-ref.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 441845 Jul  1  2014 newstest2014-fren-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 512462 Jul  1  2014 newstest2014-fren-src.fr.sgm
    -rw-r--r-- 1 yongqiang yongqiang 356077 Jul  1  2014 newstest2014-hien-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 820215 Jul  1  2014 newstest2014-hien-ref.hi.sgm
    -rw-r--r-- 1 yongqiang yongqiang 353792 Jul  1  2014 newstest2014-hien-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 818658 Jul  1  2014 newstest2014-hien-src.hi.sgm
    -rw-r--r-- 1 yongqiang yongqiang 443149 Jul  1  2014 newstest2014-ruen-ref.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 763821 Jul  1  2014 newstest2014-ruen-ref.ru.sgm
    -rw-r--r-- 1 yongqiang yongqiang 441036 Jul  1  2014 newstest2014-ruen-src.en.sgm
    -rw-r--r-- 1 yongqiang yongqiang 761708 Jul  1  2014 newstest2014-ruen-src.ru.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 333884 Jan  6  2016 newstest2015-csen-ref.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 337118 Jan  6  2016 newstest2015-csen-src.cs.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 288866 Jan  6  2016 newstest2015-deen-ref.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 316788 Jan  6  2016 newstest2015-deen-src.de.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 337131 Jan  6  2016 newstest2015-encs-ref.cs.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 333871 Jan  6  2016 newstest2015-encs-src.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 316801 Jan  6  2016 newstest2015-ende-ref.de.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 288853 Jan  6  2016 newstest2015-ende-src.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 185637 Jan  6  2016 newstest2015-enfi-ref.fi.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 178431 Jan  6  2016 newstest2015-enfi-src.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 658969 Jan  6  2016 newstest2015-enru-ref.ru.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 406258 Jan  6  2016 newstest2015-enru-src.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 178444 Jan  6  2016 newstest2015-fien-ref.en.sgm
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    -rw-rw-r-- 1 yongqiang yongqiang 406271 Jan  6  2016 newstest2015-ruen-ref.en.sgm
    -rw-rw-r-- 1 yongqiang yongqiang 658956 Jan  6  2016 newstest2015-ruen-src.ru.sgm
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /tmp/t2t_datagen/training/
    total 2028544
    drwxrwxrwx 1 yongqiang yongqiang       512 Jun  1 00:51 ./
    drwxrwxrwx 1 yongqiang yongqiang       512 Jun  1 03:51 ../
    -rw-r--r-- 1 yongqiang yongqiang  98150314 Nov 21  2011 europarl-v7.cs-en.cs
    -rw-r--r-- 1 yongqiang yongqiang  94299411 Nov 21  2011 europarl-v7.cs-en.en
    -rw-r--r-- 1 yongqiang yongqiang 328463491 Nov 21  2011 europarl-v7.de-en.de
    -rw-r--r-- 1 yongqiang yongqiang 287250069 Nov 21  2011 europarl-v7.de-en.en
    -rw-r--r-- 1 yongqiang yongqiang 294931656 Nov 21  2011 europarl-v7.es-en.en
    -rw-r--r-- 1 yongqiang yongqiang 324915736 Nov 21  2011 europarl-v7.es-en.es
    -rw-r--r-- 1 yongqiang yongqiang 301523301 Nov 21  2011 europarl-v7.fr-en.en
    -rw-r--r-- 1 yongqiang yongqiang 346919801 Nov 21  2011 europarl-v7.fr-en.fr
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

`training-parallel-nc-v11` 是一个词典，运行的过程会先检查 `training-parallel-nc-v11.tgz` 是否存在。如果不存在，则下载。如果存在，则直接使用 `training-parallel-nc-v11` 文件夹中的词典。如果想使用自己的词典，可以直接替换文件夹里面的内容，或者是自定义一个 `problem`。

`TRAIN_DIR=$HOME/t2t_train/$PROBLEM/$MODEL-$HPARAMS` 文件夹下数据：

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /tmp/t2t_datagen/training/
    total 2028544
    drwxrwxrwx 1 yongqiang yongqiang       512 Jun  1 00:51 ./
    drwxrwxrwx 1 yongqiang yongqiang       512 Jun  1 03:51 ../
    -rw-r--r-- 1 yongqiang yongqiang  98150314 Nov 21  2011 europarl-v7.cs-en.cs
    -rw-r--r-- 1 yongqiang yongqiang  94299411 Nov 21  2011 europarl-v7.cs-en.en
    -rw-r--r-- 1 yongqiang yongqiang 328463491 Nov 21  2011 europarl-v7.de-en.de
    -rw-r--r-- 1 yongqiang yongqiang 287250069 Nov 21  2011 europarl-v7.de-en.en
    -rw-r--r-- 1 yongqiang yongqiang 294931656 Nov 21  2011 europarl-v7.es-en.en
    -rw-r--r-- 1 yongqiang yongqiang 324915736 Nov 21  2011 europarl-v7.es-en.es
    -rw-r--r-- 1 yongqiang yongqiang 301523301 Nov 21  2011 europarl-v7.fr-en.en
    -rw-r--r-- 1 yongqiang yongqiang 346919801 Nov 21  2011 europarl-v7.fr-en.fr
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /home/yongqiang/t2t_train/
    total 0
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ./
    drwxr-xr-x 1 yongqiang yongqiang 512 May 31 16:28 ../
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 wmt_ende_tokens_32k/
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /home/yongqiang/t2t_train/wmt_ende_tokens_32k/
    total 0
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ./
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ../
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 transformer-transformer_base_single_gpu/
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/
    total 0
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ./
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ../
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

100 个 `train` 文件和 1 个 `dev` 文件，都是 `TFRecord` 格式的，在训练过程中使用，同时还会生成一个字词表。

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ cp $TMP_DIR/tokens.vocab.* $DATA_DIR
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/
    total 0
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ./
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ../
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /home/yongqiang/t2t_train/wmt_ende_tokens_32k/
    total 0
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ./
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ../
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 transformer-transformer_base_single_gpu/
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /home/yongqiang/t2t_train/
    total 0
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 ./
    drwxr-xr-x 1 yongqiang yongqiang 512 May 31 16:28 ../
    drwxrwxrwx 1 yongqiang yongqiang 512 May 31 16:28 wmt_ende_tokens_32k/
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$ ll /home/yongqiang/t2t_data/
    total 753680
    drwxrwxrwx 1 yongqiang yongqiang     512 Jun  1 07:51 ./
    drwxr-xr-x 1 yongqiang yongqiang     512 May 31 16:28 ../
    -rw-rw-rw- 1 yongqiang yongqiang  306558 Jun  1 07:51 tokens.vocab.32768
    -rw-rw-rw- 1 yongqiang yongqiang  452958 Jun  1 03:52 wmt_ende_tokens_32k-dev-00000-of-00001
    -rw-rw-rw- 1 yongqiang yongqiang 7667929 Jun  1 03:51 wmt_ende_tokens_32k-train-00000-of-00100
    -rw-rw-rw- 1 yongqiang yongqiang 7640828 Jun  1 03:51 wmt_ende_tokens_32k-train-00001-of-00100
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    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

### 3.4 训练阶段 ###

`https://github.com/tensorflow/tensor2tensor/tree/v1.0.12`

# Train
    # If you run out of memory, add --hparams='batch_size=2048' or even 1024.
    t2t-trainer --data_dir=$DATA_DIR --problems=$PROBLEM --model=$MODEL --hparams_set=$HPARAMS --output_dir=$TRAIN_DIR

`https://github.com/tensorflow/tensor2tensor`

# Train
    # If you run out of memory, add --hparams='batch_size=1024'.
    t2t-trainer --data_dir=$DATA_DIR --problem=$PROBLEM --model=$MODEL --hparams_set=$HPARAMS --output_dir=$TRAIN_DIR

注意 `problem` 和 `problems` 的区别，否则会报 `NoneType` 的错误。

*  `Segmentation fault (core dumped)`

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ t2t-trainer --data_dir=$DATA_DIR --problems=$PROBLEM --model=$MODEL --hparams_set=$HPARAMS --output_dir=$TRAIN_DIR
    INFO:tensorflow:Creating experiment, storing model files in /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu
    INFO:tensorflow:datashard_devices: ['gpu:0']
    INFO:tensorflow:caching_devices: None
    INFO:tensorflow:Using config: {'_save_checkpoints_steps': None, '_task_id': 0, '_save_summary_steps': 100, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f1a0850cef0>, '_num_ps_replicas': 0, '_evaluation_master': '', '_log_step_count_steps': 100, '_num_worker_replicas': 0, '_save_checkpoints_secs': 600, '_tf_config': gpu_options {
      per_process_gpu_memory_fraction: 1.0
    }
    , '_keep_checkpoint_max': 20, '_is_chief': True, '_master': '', '_environment': 'local', '_keep_checkpoint_every_n_hours': 10000, '_tf_random_seed': None, '_model_dir': '/home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu', '_task_type': None, '_session_config': allow_soft_placement: true
    graph_options {
      optimizer_options {
      }
    }
    }
    INFO:tensorflow:Performing local training.
    WARNING:tensorflow:From /home/yongqiang/miniconda3/envs/tf_cpu_1.4.1/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:267: BaseMonitor.__init__ (from tensorflow.contrib.learn.python.learn.monitors) is deprecated and will be removed after 2016-12-05.
    Instructions for updating:
    Monitors are deprecated. Please use tf.train.SessionRunHook.
    INFO:tensorflow:datashard_devices: ['gpu:0']
    INFO:tensorflow:caching_devices: None
    INFO:tensorflow:Doing model_fn_body took 1.564 sec.
    INFO:tensorflow:This model_fn took 1.691 sec.
    WARNING:tensorflow:From /home/yongqiang/miniconda3/envs/tf_cpu_1.4.1/lib/python3.5/site-packages/tensor2tensor/utils/trainer_utils.py:317: get_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Please switch to tf.train.get_global_step
    INFO:tensorflow:Weight    body/decoder/layer_0/conv_hidden_relu/conv1_single/bias                               shape    (2048,)                size    2048
    INFO:tensorflow:Weight    body/decoder/layer_0/conv_hidden_relu/conv1_single/kernel                             shape    (1, 1, 512, 2048)      size    1048576
    INFO:tensorflow:Weight    body/decoder/layer_0/conv_hidden_relu/conv2_single/bias                               shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/conv_hidden_relu/conv2_single/kernel                             shape    (1, 1, 2048, 512)      size    1048576
    INFO:tensorflow:Weight    body/decoder/layer_0/decoder_self_attention/output_transform_single/bias              shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/decoder_self_attention/output_transform_single/kernel            shape    (1, 1, 512, 512)       size    262144
    INFO:tensorflow:Weight    body/decoder/layer_0/decoder_self_attention/qkv_transform_single/bias                 shape    (1536,)                size    1536
    INFO:tensorflow:Weight    body/decoder/layer_0/decoder_self_attention/qkv_transform_single/kernel               shape    (1, 1, 512, 1536)      size    786432
    INFO:tensorflow:Weight    body/decoder/layer_0/encdec_attention/kv_transform_single/bias                        shape    (1024,)                size    1024
    INFO:tensorflow:Weight    body/decoder/layer_0/encdec_attention/kv_transform_single/kernel                      shape    (1, 1, 512, 1024)      size    524288
    INFO:tensorflow:Weight    body/decoder/layer_0/encdec_attention/output_transform_single/bias                    shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/encdec_attention/output_transform_single/kernel                  shape    (1, 1, 512, 512)       size    262144
    INFO:tensorflow:Weight    body/decoder/layer_0/encdec_attention/q_transform_single/bias                         shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/encdec_attention/q_transform_single/kernel                       shape    (1, 1, 512, 512)       size    262144
    INFO:tensorflow:Weight    body/decoder/layer_0/layer_norm/layer_norm_bias                                       shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/layer_norm/layer_norm_scale                                      shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/layer_norm_1/layer_norm_bias                                     shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/layer_norm_1/layer_norm_scale                                    shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/layer_norm_2/layer_norm_bias                                     shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_0/layer_norm_2/layer_norm_scale                                    shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/decoder/layer_1/conv_hidden_relu/conv1_single/bias                               shape    (2048,)                size    2048
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    INFO:tensorflow:Weight    symbol_modality_31022_512/shared/weights_9                                            shape    (1939, 512)            size    992768
    INFO:tensorflow:Total trainable variables size: 60038144
    INFO:tensorflow:Computing gradients for global model_fn.
    INFO:tensorflow:Global model_fn finished.
    INFO:tensorflow:Create CheckpointSaverHook.
    2020-06-01 07:55:08.844229: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
    Segmentation fault (core dumped)
    (tf_cpu_1.4.1) yongqiang@yongqiang:~$

*  `t2t-trainer --data_dir=$DATA_DIR --problems=$PROBLEM --model=$MODEL --hparams_set=$HPARAMS --output_dir=$TRAIN_DIR --hparams='batch_size=1024'`

(tf_cpu_1.4.1) yongqiang@yongqiang:~$ t2t-trainer --data_dir=$DATA_DIR --problems=$PROBLEM --model=$MODEL --hparams_set=$HPARAMS --output_dir=$TRAIN_DIR --hparams='batch_size=1024'
    INFO:tensorflow:Creating experiment, storing model files in /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu
    INFO:tensorflow:datashard_devices: ['gpu:0']
    INFO:tensorflow:caching_devices: None
    INFO:tensorflow:Using config: {'_log_step_count_steps': 100, '_keep_checkpoint_max': 20, '_save_checkpoints_steps': None, '_environment': 'local', '_save_checkpoints_secs': 600, '_task_type': None, '_tf_random_seed': None, '_num_ps_replicas': 0, '_num_worker_replicas': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_session_config': allow_soft_placement: true
    graph_options {
      optimizer_options {
      }
    }
    , '_task_id': 0, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe1d260cef0>, '_model_dir': '/home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu', '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_tf_config': gpu_options {
      per_process_gpu_memory_fraction: 1.0
    }
    }
    INFO:tensorflow:Performing local training.
    WARNING:tensorflow:From /home/yongqiang/miniconda3/envs/tf_cpu_1.4.1/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:267: BaseMonitor.__init__ (from tensorflow.contrib.learn.python.learn.monitors) is deprecated and will be removed after 2016-12-05.
    Instructions for updating:
    Monitors are deprecated. Please use tf.train.SessionRunHook.
    INFO:tensorflow:datashard_devices: ['gpu:0']
    INFO:tensorflow:caching_devices: None
    INFO:tensorflow:Doing model_fn_body took 1.528 sec.
    INFO:tensorflow:This model_fn took 1.657 sec.
    WARNING:tensorflow:From /home/yongqiang/miniconda3/envs/tf_cpu_1.4.1/lib/python3.5/site-packages/tensor2tensor/utils/trainer_utils.py:317: get_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
    Instructions for updating:
    Please switch to tf.train.get_global_step
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    INFO:tensorflow:Weight    body/encoder/layer_3/layer_norm_1/layer_norm_bias                                     shape    (512,)                 size    512
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    INFO:tensorflow:Weight    body/encoder/layer_4/conv_hidden_relu/conv1_single/bias                               shape    (2048,)                size    2048
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    INFO:tensorflow:Weight    body/encoder/layer_4/conv_hidden_relu/conv2_single/kernel                             shape    (1, 1, 2048, 512)      size    1048576
    INFO:tensorflow:Weight    body/encoder/layer_4/encoder_self_attention/output_transform_single/bias              shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_4/encoder_self_attention/output_transform_single/kernel            shape    (1, 1, 512, 512)       size    262144
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    INFO:tensorflow:Weight    body/encoder/layer_4/encoder_self_attention/qkv_transform_single/kernel               shape    (1, 1, 512, 1536)      size    786432
    INFO:tensorflow:Weight    body/encoder/layer_4/layer_norm/layer_norm_bias                                       shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_4/layer_norm/layer_norm_scale                                      shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_4/layer_norm_1/layer_norm_bias                                     shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_4/layer_norm_1/layer_norm_scale                                    shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_5/conv_hidden_relu/conv1_single/bias                               shape    (2048,)                size    2048
    INFO:tensorflow:Weight    body/encoder/layer_5/conv_hidden_relu/conv1_single/kernel                             shape    (1, 1, 512, 2048)      size    1048576
    INFO:tensorflow:Weight    body/encoder/layer_5/conv_hidden_relu/conv2_single/bias                               shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_5/conv_hidden_relu/conv2_single/kernel                             shape    (1, 1, 2048, 512)      size    1048576
    INFO:tensorflow:Weight    body/encoder/layer_5/encoder_self_attention/output_transform_single/bias              shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_5/encoder_self_attention/output_transform_single/kernel            shape    (1, 1, 512, 512)       size    262144
    INFO:tensorflow:Weight    body/encoder/layer_5/encoder_self_attention/qkv_transform_single/bias                 shape    (1536,)                size    1536
    INFO:tensorflow:Weight    body/encoder/layer_5/encoder_self_attention/qkv_transform_single/kernel               shape    (1, 1, 512, 1536)      size    786432
    INFO:tensorflow:Weight    body/encoder/layer_5/layer_norm/layer_norm_bias                                       shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_5/layer_norm/layer_norm_scale                                      shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_5/layer_norm_1/layer_norm_bias                                     shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/encoder/layer_5/layer_norm_1/layer_norm_scale                                    shape    (512,)                 size    512
    INFO:tensorflow:Weight    body/target_space_embedding/kernel                                                    shape    (32, 512)              size    16384
    INFO:tensorflow:Weight    symbol_modality_31022_512/shared/weights_0                                            shape    (1939, 512)            size    992768
    INFO:tensorflow:Weight    symbol_modality_31022_512/shared/weights_10                                           shape    (1939, 512)            size    992768
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    INFO:tensorflow:Weight    symbol_modality_31022_512/shared/weights_14                                           shape    (1938, 512)            size    992256
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    INFO:tensorflow:Weight    symbol_modality_31022_512/shared/weights_1                                            shape    (1939, 512)            size    992768
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    INFO:tensorflow:Weight    symbol_modality_31022_512/shared/weights_9                                            shape    (1939, 512)            size    992768
    INFO:tensorflow:Total trainable variables size: 60038144
    INFO:tensorflow:Computing gradients for global model_fn.
    INFO:tensorflow:Global model_fn finished.
    INFO:tensorflow:Create CheckpointSaverHook.
    2020-06-01 07:59:36.595618: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
    INFO:tensorflow:Saving checkpoints for 1 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:loss = 9.617761, step = 1
    INFO:tensorflow:global_step/sec: 0.184352
    INFO:tensorflow:loss = 8.638795, step = 101 (542.447 sec)
    INFO:tensorflow:Saving checkpoints for 111 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.182636
    INFO:tensorflow:loss = 8.1433325, step = 201 (547.531 sec)
    INFO:tensorflow:Saving checkpoints for 221 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.184702
    INFO:tensorflow:loss = 7.774977, step = 301 (541.413 sec)
    INFO:tensorflow:Saving checkpoints for 332 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.183971
    INFO:tensorflow:loss = 7.6570582, step = 401 (543.564 sec)
    INFO:tensorflow:Saving checkpoints for 444 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.183122
    INFO:tensorflow:loss = 7.5161967, step = 501 (546.084 sec)
    INFO:tensorflow:Saving checkpoints for 555 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.185353
    INFO:tensorflow:loss = 7.1285443, step = 601 (539.511 sec)
    INFO:tensorflow:Saving checkpoints for 665 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.182844
    INFO:tensorflow:loss = 6.6412644, step = 701 (546.914 sec)
    INFO:tensorflow:Saving checkpoints for 776 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.183772
    INFO:tensorflow:loss = 6.9026318, step = 801 (544.153 sec)
    INFO:tensorflow:Saving checkpoints for 887 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.183551
    INFO:tensorflow:loss = 6.866945, step = 901 (544.809 sec)
    INFO:tensorflow:Saving checkpoints for 997 into /home/yongqiang/t2t_train/wmt_ende_tokens_32k/transformer-transformer_base_single_gpu/model.ckpt.
    INFO:tensorflow:global_step/sec: 0.182267
    INFO:tensorflow:loss = 6.583713, step = 1001 (548.645 sec)
    INFO:tensorflow:global_step/sec: 0.187032
    ......

### 3.5 解码 ###

对于翻译任务，解码可以理解为翻译的过程。可以手动创建两个文件来进行测试 (当然也可以用 `t2t-datagen` 产生的数据)。

`https://github.com/tensorflow/tensor2tensor/tree/v1.0.12`

# Decode
    
    DECODE_FILE=$DATA_DIR/decode_this.txt
    echo "Hello world" >> $DECODE_FILE
    echo "Goodbye world" >> $DECODE_FILE

`https://github.com/tensorflow/tensor2tensor`

# Decode
    
    DECODE_FILE=$DATA_DIR/decode_this.txt
    echo "Hello world" >> $DECODE_FILE
    echo "Goodbye world" >> $DECODE_FILE
    echo -e 'Hallo Welt\nAuf Wiedersehen Welt' > ref-translation.de

对创建好的文件进行解码 (翻译)。

`https://github.com/tensorflow/tensor2tensor/tree/v1.0.12`

BEAM_SIZE=4
    ALPHA=0.6
    
    t2t-trainer --data_dir=$DATA_DIR --problems=$PROBLEM --model=$MODEL --hparams_set=$HPARAMS --output_dir=$TRAIN_DIR --train_steps=0 --eval_steps=0 --decode_beam_size=$BEAM_SIZE --decode_alpha=$ALPHA --decode_from_file=$DECODE_FILE
    
    cat $DECODE_FILE.$MODEL.$HPARAMS.beam$BEAM_SIZE.alpha$ALPHA.decodes

`https://github.com/tensorflow/tensor2tensor`

BEAM_SIZE=4
    ALPHA=0.6
    
    t2t-decoder \
      --data_dir=$DATA_DIR \
      --problem=$PROBLEM \
      --model=$MODEL \
      --hparams_set=$HPARAMS \
      --output_dir=$TRAIN_DIR \
      --decode_hparams="beam_size=$BEAM_SIZE,alpha=$ALPHA" \
      --decode_from_file=$DECODE_FILE \
      --decode_to_file=translation.en
    
    # See the translations
    cat translation.en

注意 `--decode_from_file=` 和 `--decode_to_file` 的对应文件。

### 3.6 评分 ###

`https://github.com/tensorflow/tensor2tensor`

# Evaluate the BLEU score
    # Report this BLEU score in papers, not the internal approx_bleu metric.
    t2t-bleu --translation=translation.en --reference=ref-translation.de

## 4. Installation ##

# Assumes tensorflow or tensorflow-gpu installed
    pip install tensor2tensor
    
    # Installs with tensorflow-gpu requirement
    pip install tensor2tensor[tensorflow_gpu]
    
    # Installs with tensorflow (cpu) requirement
    pip install tensor2tensor[tensorflow]

Binaries:

# Data generator
    t2t-datagen
    
    # Trainer
    t2t-trainer --registry_help

Library usage:

python -c "from tensor2tensor.models.transformer import Transformer"

## 5. T2T overview ##

### 5.1 Datasets ###

**Datasets** are all standardized on `TFRecord` files with `tensorflow.Example` protocol buffers. All datasets are registered and generated with the [data generator][] and many common sequence datasets are already available for generation and use.

[https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/bin/t2t-datagen][https_github.com_tensorflow_tensor2tensor_blob_master_tensor2tensor_bin_t2t-datagen]

数据集都在带有 `tensorflow.Example` 协议缓冲区的 `TFRecord` 文件上标准化。所有数据集都已通过数据生成器注册并生成，并且许多通用序列数据集已经可供生成和使用。

### 5.2 Problems and Modalities ###

**Problems** define training-time hyperparameters for the dataset and task, mainly by setting input and output **modalities** (e.g. symbol, image, audio, label) and vocabularies, if applicable. All problems are defined in [`problem_hparams.py`][problem_hparams.py]. **Modalities**, defined in [`modality.py`][modality.py], abstract away the input and output data types so that **models** may deal with modality-independent tensors.

[https://github.com/tensorflow/tensor2tensor/blob/v1.0.12/tensor2tensor/data\_generators/problem\_hparams.py][https_github.com_tensorflow_tensor2tensor_blob_v1.0.12_tensor2tensor_data_generators_problem_hparams.py]  
[https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/utils/modality.py][modality.py]

**Problems** 定义了数据集和任务的训练时超参数，主要是通过设置输入和输出 **modalities** (例如符号、图像、音频、标签) 和词汇表 (如果适用) 来定义的。所有问题均在 `problem_hparams.py` 中定义。在 `modality.py` 中定义的 **Modalities** 可以抽象出输入和输出数据类型，以便 **models** 可以处理与模态无关的张量。

### 5.3 Models ###

**`T2TModel`s** define the core tensor-to-tensor transformation, independent of input/output modality or task. Models take dense tensors in and produce dense tensors that may then be transformed in a final step by a **modality** depending on the task (e.g. fed through a final linear transform to produce logits for a softmax over classes). All models are imported in [`models.py`][models.py], inherit from `T2TModel` \- defined in [`t2t_model.py`][t2t_model.py]

*  and are registered with [`@registry.register_model`][registry.register_model].

**`T2TModel`s** 定义了核心张量到张量的转换，而与输入/输出模态或任务无关。模型采用密集的张量输入并产生密集的张量，然后可以根据任务通过模态在最后一步对其进行转换 (例如，通过最终的线性变换进行馈送以产生针对类的 `softmax` 的对数)。所有模型均导入到 `models.py` 中，并继承自 `T2TModel` (在 `t2t_model.py` 中定义)。

[https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/models/models.py][models.py]  
[https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/t2t\_model.py][https_github.com_tensorflow_tensor2tensor_blob_master_tensor2tensor_utils_t2t_model.py]  
[https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/registry.py][https_github.com_tensorflow_tensor2tensor_blob_master_tensor2tensor_utils_registry.py]

### 5.4 Hyperparameter Sets ###

**Hyperparameter sets** are defined and registered in code with [`@registry.register_hparams`][registry.register_model] and are encoded in [`tf.contrib.training.HParams`][tf.contrib.training.HParams] objects. The `HParams` are available to both the problem specification and the model. A basic set of hyperparameters are defined in [`common_hparams.py`][common_hparams.py] and hyperparameter set functions can compose other hyperparameter set functions.

[https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/utils/registry.py][registry.register_model]  
[https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/training/python/training/hparam.py][tf.contrib.training.HParams]  
[https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/models/common\_hparams.py][common_hparams.py]

**Hyperparameter sets** 是通过 `@registry.register_hparams` 在代码中定义和注册的，并在`tf.contrib.training.HParams` 对象中进行了编码。`HParams` 可用于问题说明和模型。在 `common_hparams.py` 中定义了一组基本的超参数，并且超参数集函数可以组成其他超参数集函数。

### 5.5 Trainer ###

The **trainer** binary is the main entrypoint for training, evaluation, and inference. Users can easily switch between problems, models, and hyperparameter sets by using the `--model`, `--problems`, and `--hparams_set` flags. Specific  
hyperparameters can be overridden with the `--hparams` flag. `--schedule` and related flags control local and distributed training/evaluation ([distributed training documentation][]).

[https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/docs/distributed\_training.md][distributed training documentation]

**trainer** 二进制文件是进行训练、评估和推断的主要切入点。用户可以使用 `--model`, `--problems`, and `--hparams_set` 标志轻松地在问题、模型和超参数集之间切换。特定的超参数可以使用 `--hparams` 标志覆盖。`--schedule` 和相关标志控制本地和分布式训练/评估 (distributed training documentation)。

## References ##

[https://www.zhihu.com/people/jin-tian-zuo-zuo-ye-mei/posts][https_www.zhihu.com_people_jin-tian-zuo-zuo-ye-mei_posts]

[https://blog.csdn.net/csa121/article/details/79605215][https_blog.csdn.net_csa121_article_details_79605215]  
[https://blog.csdn.net/qq\_30650047/article/details/102996021][https_blog.csdn.net_qq_30650047_article_details_102996021]  
[https://androidkt.com/training-neural-machine-translation-with-tensor2tensor/][https_androidkt.com_training-neural-machine-translation-with-tensor2tensor]  
[https://blog.csdn.net/hpulfc/article/details/81172498][https_blog.csdn.net_hpulfc_article_details_81172498]

[https_github.com_tensorflow_tensor2tensor]: https://github.com/tensorflow/tensor2tensor
[https_github.com_tensorflow_tensor2tensor_releases]: https://github.com/tensorflow/tensor2tensor/releases
[https_github.com_tensorflow_tensor2tensor_tags]: https://github.com/tensorflow/tensor2tensor/tags
[https_github.com_tensorflow_tensor2tensor_releases_tag_v1.0.12]: https://github.com/tensorflow/tensor2tensor/releases/tag/v1.0.12
[https_github.com_tensorflow_tensor2tensor_tree_v1.0.12]: https://github.com/tensorflow/tensor2tensor/tree/v1.0.12
[https_github.com_tensorflow_tensorflow_tree_r1.4]: https://github.com/tensorflow/tensorflow/tree/r1.4
[https_tensorflow.google.cn_install_source]: https://tensorflow.google.cn/install/source
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2NoZW5neXExMTY_size_16_color_FFFFFF_t_70_pic_center]: https://img-blog.csdnimg.cn/20200530073747360.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2NoZW5neXExMTY=,size_16,color_FFFFFF,t_70#pic_center
[https_github.com_tensorflow_tensor2tensor_issues]: https://github.com/tensorflow/tensor2tensor/issues
[https_github.com_tensorflow_tensor2tensor_blob_v1.0.12_CONTRIBUTING.md]: https://github.com/tensorflow/tensor2tensor/blob/v1.0.12/CONTRIBUTING.md
[https_gitter.im_tensor2tensor_Lobby]: https://gitter.im/tensor2tensor/Lobby
[https_jalammar.github.io_illustrated-transformer]: https://jalammar.github.io/illustrated-transformer/
[https_github.com_Kyubyong_transformer]: https://github.com/Kyubyong/transformer
[https_arxiv.org_abs_1706.03762]: https://arxiv.org/abs/1706.03762
[https_pypi.org_project_tensor2tensor]: https://pypi.org/project/tensor2tensor/
[data generator]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/bin/t2t-datagen
[https_github.com_tensorflow_tensor2tensor_blob_master_tensor2tensor_bin_t2t-datagen]: https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/bin/t2t-datagen
[problem_hparams.py]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/data_generators/problem_hparams.py
[modality.py]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/utils/modality.py
[https_github.com_tensorflow_tensor2tensor_blob_v1.0.12_tensor2tensor_data_generators_problem_hparams.py]: https://github.com/tensorflow/tensor2tensor/blob/v1.0.12/tensor2tensor/data_generators/problem_hparams.py
[models.py]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/models/models.py
[t2t_model.py]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/utils/t2t_model.py
[registry.register_model]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/utils/registry.py
[https_github.com_tensorflow_tensor2tensor_blob_master_tensor2tensor_utils_t2t_model.py]: https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/t2t_model.py
[https_github.com_tensorflow_tensor2tensor_blob_master_tensor2tensor_utils_registry.py]: https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/utils/registry.py
[tf.contrib.training.HParams]: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/training/python/training/hparam.py
[common_hparams.py]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/models/common_hparams.py
[distributed training documentation]: https://github.com/tensorflow/tensor2tensor/tree/master/tensor2tensor/docs/distributed_training.md
[https_www.zhihu.com_people_jin-tian-zuo-zuo-ye-mei_posts]: https://www.zhihu.com/people/jin-tian-zuo-zuo-ye-mei/posts
[https_blog.csdn.net_csa121_article_details_79605215]: https://blog.csdn.net/csa121/article/details/79605215
[https_blog.csdn.net_qq_30650047_article_details_102996021]: https://blog.csdn.net/qq_30650047/article/details/102996021
[https_androidkt.com_training-neural-machine-translation-with-tensor2tensor]: https://androidkt.com/training-neural-machine-translation-with-tensor2tensor/
[https_blog.csdn.net_hpulfc_article_details_81172498]: https://blog.csdn.net/hpulfc/article/details/81172498