Finish repo rename

.travis.yml

@@ -88,7 +88,7 @@ deploy:
   on:
     tags: true
     branch: master
-    repo: ppwwyyxx/tensorpack
+    repo: tensorpack/tensorpack
     python: "3.5"
     condition: "$PYPI = true"
 
@@ -101,6 +101,6 @@ deploy:
     secure: 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
   on:
     branch: test-travis
-    repo: ppwwyyxx/tensorpack
+    repo: tensorpack/tensorpack
     python: "3.5"
     condition: "$PYPI = true"

CHANGES.md

@@ -19,54 +19,54 @@ TensorFlow itself also changed APIs before 1.0 and those are not listed here.
 	`AutoResumeTrainConfig` was added to support resuming.
 + [2017/10/21]
 	tensorpack is gradually switching to a new Trainer API.
-	The old API will keep working for a while. See [issue](https://github.com/ppwwyyxx/tensorpack/issues/458)
+	The old API will keep working for a while. See [issue](https://github.com/tensorpack/tensorpack/issues/458)
 	for details.
 + [2017/10/18]
 	`TrainConfig(predict_tower)` was deprecated. You can set the inference device directly when creating the `InferenceRunner` callback.
-+ [2017/10/12](https://github.com/ppwwyyxx/tensorpack/commit/7e963996f615b85f7459455596b4ee9bbd0bce8e).
++ [2017/10/12](https://github.com/tensorpack/tensorpack/commit/7e963996f615b85f7459455596b4ee9bbd0bce8e).
 	`tensorpack.RL` was deprecated. The RL examples are written with OpenAI gym interface instead.
-+ [2017/10/10](https://github.com/ppwwyyxx/tensorpack/commit/7d40e049691d92018f50dc7d45bba5e8b140becc).
++ [2017/10/10](https://github.com/tensorpack/tensorpack/commit/7d40e049691d92018f50dc7d45bba5e8b140becc).
 	`tfutils.distributions` was deprecated in favor of `tf.distributions` introduced in TF 1.3.
-+ [2017/08/02](https://github.com/ppwwyyxx/tensorpack/commit/875f4d7dbb5675f54eae5675fa3a0948309a8465).
++ [2017/08/02](https://github.com/tensorpack/tensorpack/commit/875f4d7dbb5675f54eae5675fa3a0948309a8465).
 	`Trainer.get_predictor` now takes GPU id. And `Trainer.get_predictors` was deprecated.
 + 2017/06/07. Now the library explicitly depends on msgpack-numpy>=0.3.9. The serialization protocol
 	becomes incompatible if you've been using <0.3.9.
-+ [2017/05/06](https://github.com/ppwwyyxx/tensorpack/commit/0774ec66e66075486f6a36aba63cc2a151b9fec8).
++ [2017/05/06](https://github.com/tensorpack/tensorpack/commit/0774ec66e66075486f6a36aba63cc2a151b9fec8).
 	`replace_get_variable` was deprecated in favor of the official `custom_getter` interface.
 	`{freeze,remap}_get_variable` was renamed to `{freeze,remap}_variables`.
-+ [2017/04/09](https://github.com/ppwwyyxx/tensorpack/commit/5beab907895aec36bdcaed62e25b976aad7979b8).
++ [2017/04/09](https://github.com/tensorpack/tensorpack/commit/5beab907895aec36bdcaed62e25b976aad7979b8).
 	`ParamRestore` was renamed to `DictRestore`.
-+ [2017/03/16](https://github.com/ppwwyyxx/tensorpack/commit/ccae46f4a3ca89dc3df901a338eef8447d19a730).
++ [2017/03/16](https://github.com/tensorpack/tensorpack/commit/ccae46f4a3ca89dc3df901a338eef8447d19a730).
 	`session_config` option in `PredictConfig` is deprecated. Use `session_creator` to define how to create session instead.
 + 2017/02/20. The interface of step callbacks are changed to be the same as `tf.train.SessionRunHook`.
 	If you haven't written any custom step callbacks, there is nothing to do. Otherwise please refer
-	to the [existing callbacks](https://github.com/ppwwyyxx/tensorpack/blob/master/tensorpack/callbacks/steps.py).
-+ [2017/02/12](https://github.com/ppwwyyxx/tensorpack/commit/d1041a77a9c59d8c9abf64f389f3b605d65b483e).
+	to the [existing callbacks](https://github.com/tensorpack/tensorpack/blob/master/tensorpack/callbacks/steps.py).
++ [2017/02/12](https://github.com/tensorpack/tensorpack/commit/d1041a77a9c59d8c9abf64f389f3b605d65b483e).
 	`TrainConfig(optimizer=)` was deprecated. Now optimizer is set in `ModelDesc`. And gradient processors become part of an optimizer.
-* [2017/02/11](https://github.com/ppwwyyxx/tensorpack/commit/5b29bda9f17d7b587259e13963c4c8093e8387f8).
+* [2017/02/11](https://github.com/tensorpack/tensorpack/commit/5b29bda9f17d7b587259e13963c4c8093e8387f8).
 	`_get_input_vars()` in `ModelDesc` was renamed to `_get_inputs`. `InputVar` was renamed to `InputDesc`.
-* [2017/01/27](https://github.com/ppwwyyxx/tensorpack/commit/a9dd0b8ec34209ab86a92875589dbbc4716e73ef).
+* [2017/01/27](https://github.com/tensorpack/tensorpack/commit/a9dd0b8ec34209ab86a92875589dbbc4716e73ef).
 	`TrainConfig(step_per_epoch)` was renamed to `steps_per_epoch`.
-* [2017/01/25](https://github.com/ppwwyyxx/tensorpack/commit/2df3dcf401a99fe61c699ad719e95528872d3abe).
+* [2017/01/25](https://github.com/tensorpack/tensorpack/commit/2df3dcf401a99fe61c699ad719e95528872d3abe).
 	Argument order of `models.ConcatWith` is changed to follow the API change in TensorFlow upstream.
-* [2017/01/25](https://github.com/ppwwyyxx/tensorpack/commit/243e957fe6d62a0cfb5728bd77fb3e005d6603e4).
+* [2017/01/25](https://github.com/tensorpack/tensorpack/commit/243e957fe6d62a0cfb5728bd77fb3e005d6603e4).
 	`TrainConfig(callbacks=)` now takes a list of `Callback` instances.
-* [2017/01/06](https://github.com/ppwwyyxx/tensorpack/commit/bbf41d9e58053f843d0471e6d2d87ff714a79a90).
+* [2017/01/06](https://github.com/tensorpack/tensorpack/commit/bbf41d9e58053f843d0471e6d2d87ff714a79a90).
 	`summary.add_moving_summary` now takes any number of positional arguments instead of a list.
-* [2017/01/05](https://github.com/ppwwyyxx/tensorpack/commit/651a5aea8f9aacad7147542021dcf106fc824bc2).
+* [2017/01/05](https://github.com/tensorpack/tensorpack/commit/651a5aea8f9aacad7147542021dcf106fc824bc2).
 	The argument `TrainConfig(dataset=)` is renamed to `TrainConfig(dataflow=)`.
-* [2016/12/15](https://github.com/ppwwyyxx/tensorpack/commit/99c70935a7f72050f45891fbbcc49c4ce43aedce).
+* [2016/12/15](https://github.com/tensorpack/tensorpack/commit/99c70935a7f72050f45891fbbcc49c4ce43aedce).
 	The `predict_tower` option is in `TrainConfig` now instead of `Trainer`.
-* [2016/11/10](https://github.com/ppwwyyxx/tensorpack/commit/77bcc8b1afc984a569f6ec3eda0a3c47b4e2923a).
+* [2016/11/10](https://github.com/tensorpack/tensorpack/commit/77bcc8b1afc984a569f6ec3eda0a3c47b4e2923a).
 	The `{input,output}_var_names` argument in `PredictConfig` is renamed to `{input,output}_names`.
-* [2016/11/06](https://github.com/ppwwyyxx/tensorpack/commit/740e9d8ca146af5a911f68a369dd7348243a2253).
+* [2016/11/06](https://github.com/tensorpack/tensorpack/commit/740e9d8ca146af5a911f68a369dd7348243a2253).
 	The inferencer `ClassificationError` now expects the vector tensor returned by `prediction_incorrect` instead of the "wrong" tensor.
-* [2016/10/17](https://github.com/ppwwyyxx/tensorpack/commit/6eb0bebe60d6f38bcad9ddb3e6091b0b154a09cf).
+* [2016/10/17](https://github.com/tensorpack/tensorpack/commit/6eb0bebe60d6f38bcad9ddb3e6091b0b154a09cf).
 	`Conv2D` and `FullyConnect` use `tf.identity` by default instead of `tf.nn.relu`.
-* [2016/09/01](https://github.com/ppwwyyxx/tensorpack/commit/fc9e45b0208ff09daf454d3bd910c540735b7f83).
+* [2016/09/01](https://github.com/tensorpack/tensorpack/commit/fc9e45b0208ff09daf454d3bd910c540735b7f83).
 	The method `_build_graph` of `ModelDesc` doesn't take `is_training` argument anymore.
 	The `is_training` attribute can be obtained from tower context.
-* [2016/05/15](https://github.com/ppwwyyxx/tensorpack/commit/e69034b5c9b588db9fb52295b1e63c89e8b42654).
+* [2016/05/15](https://github.com/tensorpack/tensorpack/commit/e69034b5c9b588db9fb52295b1e63c89e8b42654).
 	The method `_get_cost` of `ModelDesc` is replaced by `_build_graph`.
 
 

README.md

@@ -2,7 +2,7 @@
 
 Tensorpack is a training interface based on TensorFlow.
 
-[![Build Status](https://travis-ci.org/ppwwyyxx/tensorpack.svg?branch=master)](https://travis-ci.org/ppwwyyxx/tensorpack)
+[![Build Status](https://travis-ci.org/tensorpack/tensorpack.svg?branch=master)](https://travis-ci.org/tensorpack/tensorpack)
 [![ReadTheDoc](https://readthedocs.org/projects/tensorpack/badge/?version=latest)](http://tensorpack.readthedocs.io/en/latest/index.html)
 [![Gitter chat](https://badges.gitter.im/gitterHQ/gitter.png)](https://gitter.im/tensorpack/users)
 [![model-zoo](https://img.shields.io/badge/model-zoo-brightgreen.svg)](http://models.tensorpack.com)
@@ -65,7 +65,7 @@ Dependencies:
 + TensorFlow >= 1.3.0 (Optional if you only want to use `tensorpack.dataflow` alone as a data processing library)
 ```
 # install git, then:
-pip install -U git+https://github.com/ppwwyyxx/tensorpack.git
+pip install -U git+https://github.com/tensorpack/tensorpack.git
 # or add `--user` to avoid system-wide installation.
 ```
 

docs/conf.py

@@ -402,7 +402,7 @@ def autodoc_skip_member(app, what, name, obj, skip, options):
 
 def url_resolver(url):
     if '.html' not in url:
-        return "https://github.com/ppwwyyxx/tensorpack/blob/master/" + url
+        return "https://github.com/tensorpack/tensorpack/blob/master/" + url
     else:
         if ON_RTD:
             return "http://tensorpack.readthedocs.io/" + url

examples/DoReFa-Net/README.md

@@ -37,13 +37,13 @@ Alternative link to this page: [http://dorefa.net](http://dorefa.net)
 
 ## Use
 
-+ Install [tensorpack](https://github.com/ppwwyyxx/tensorpack) and scipy.
++ Install tensorpack and scipy.
 
 + Look at the docstring in `*-dorefa.py` to see detailed usage and performance.
 
 ## Support
 
-Please use [github issues](https://github.com/ppwwyyxx/tensorpack/issues) for any issues related to the code itself.
+Please use [github issues](https://github.com/tensorpack/tensorpack/issues) for any issues related to the code itself.
 Please send email to the authors for general questions related to the paper.
 
 ## Citation

examples/ResNet/load-resnet.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 # File: load-resnet.py
 # Author: Eric Yujia Huang <yujiah1@andrew.cmu.edu>
-#         Yuxin Wu <ppwwyyxx@gmail.com>
+#         Yuxin Wu
 
 import cv2
 import functools

scripts/checkpoint-manipulate.py

 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 # File: checkpoint-manipulate.py
-# Author: Yuxin Wu <ppwwyyxxc@gmail.com>
 
 
 import numpy as np

scripts/dump-model-params.py

 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 # File: dump-model-params.py
-# Author: Yuxin Wu <ppwwyyxx@gmail.com>
 
 import numpy as np
 import six

scripts/ls-checkpoint.py

 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 # File: ls-checkpoint.py
-# Author: Yuxin Wu <ppwwyyxxc@gmail.com>
 
 import tensorflow as tf
 import numpy as np

setup.cfg

 [metadata]
 author = TensorPack contributors
 author-email = ppwwyyxxc@gmail.com
-url = https://github.com/ppwwyyxx/tensorpack
+url = https://github.com/tensorpack/tensorpack
 keywords = tensorflow, deep learning, neural network
 license = Apache
 

tensorpack/__init__.py

 # -*- coding: utf-8 -*-
 # File: __init__.py
-# flake8: noqa
 
 
-import os as _os
-
 from tensorpack.libinfo import __version__, _HAS_TF
 
 from tensorpack.utils import *

tensorpack/callbacks/graph.py

@@ -36,7 +36,7 @@ class RunOp(Callback):
 
         Examples:
             The `DQN Example
-            <https://github.com/ppwwyyxx/tensorpack/blob/master/examples/DeepQNetwork/>`_
+            <https://github.com/tensorpack/tensorpack/blob/master/examples/DeepQNetwork/>`_
             uses this callback to update target network.
         """
         if not callable(op):

tensorpack/tfutils/sesscreate.py

@@ -35,7 +35,7 @@ class NewSessionCreator(tf.train.ChiefSessionCreator):
             self.user_provided_config = True
             logger.warn(
                 "Some options in custom session config may not work due to TF \
-bugs. See https://github.com/ppwwyyxx/tensorpack/issues/497 for workarounds.")
+bugs. See https://github.com/tensorpack/tensorpack/issues/497 for workarounds.")
 
         self.config = config
         super(NewSessionCreator, self).__init__(master=target, config=config)

tensorpack/train/base.py

@@ -14,7 +14,6 @@ from ..utils import logger
 from ..utils.utils import humanize_time_delta
 from ..utils.argtools import call_only_once
 from ..tfutils import get_global_step_value
-from ..tfutils.tower import TowerFuncWrapper
 from ..tfutils.model_utils import describe_trainable_vars
 from ..tfutils.sessinit import SessionInit, JustCurrentSession
 from ..tfutils.sesscreate import ReuseSessionCreator, NewSessionCreator
@@ -25,7 +24,7 @@ from .config import TrainConfig, DEFAULT_MONITORS, DEFAULT_CALLBACKS
 __all__ = ['StopTraining', 'Trainer']
 
 
-class StopTraining(BaseException):
+class StopTraining(Exception):
     """
     An exception thrown to stop training.
     """
@@ -101,7 +100,7 @@ class Trainer(object):
     Certain callbacks will only be run by chief worker.
     """
 
-    def __init__(self, config=None):
+    def __init__(self):
         """
         config is only for compatibility reasons in case you're
         using custom trainers with old-style API.
@@ -110,34 +109,6 @@ class Trainer(object):
         self._callbacks = []
         self.loop = TrainLoop()
 
-        # Hacks!
-        if config is not None:
-            logger.warn("You're initializing new trainer with old trainer API!")
-            logger.warn("This could happen if you wrote a custom trainer before.")
-            logger.warn("It may work now through some hacks, but please switch to the new API!")
-            logger.warn("See https://github.com/ppwwyyxx/tensorpack/issues/458 for more information.")
-            config._deprecated_parsing()
-            self._config = config
-            self.inputs_desc = config.model.get_inputs_desc()
-            self.tower_func = TowerFuncWrapper(
-                lambda *inputs: config.model.build_graph(*inputs),
-                self.inputs_desc)
-            self._main_tower_vs_name = ""
-
-            def gp(input_names, output_names, tower=0):
-                from .tower import TowerTrainer
-                return TowerTrainer.get_predictor(self, input_names, output_names, device=tower)
-            self.get_predictor = gp
-
-            old_train = self.train
-
-            def train():
-                return old_train(
-                    config.callbacks, config.monitors,
-                    config.session_creator, config.session_init,
-                    config.steps_per_epoch, config.starting_epoch, config.max_epoch)
-            self.train = train
-
     def _register_callback(self, cb):
         """
         Register callbacks to the trainer.
@@ -170,7 +141,7 @@ class Trainer(object):
         Defines what to do in one iteration. The default is:
         ``self.hooked_sess.run(self.train_op)``.
 
-        The behavior can be changed by either defining what is ``train_op``,
+        The behavior of each iteration can be changed by either setting ``trainer.train_op``,
         or overriding this method.
         """
         if not hasattr(self, 'train_op'):
@@ -343,7 +314,7 @@ class Trainer(object):
             else:
                 logger.warn("You're calling new trainers with old trainer API!")
                 logger.warn("Now it returns the old trainer for you, please switch to use new trainers soon!")
-                logger.warn("See https://github.com/ppwwyyxx/tensorpack/issues/458 for more information.")
+                logger.warn("See https://github.com/tensorpack/tensorpack/issues/458 for more information.")
                 return old_trainer(*args, **kwargs)
         else:
             return super(Trainer, cls).__new__(cls)

tensorpack/train/config.py

@@ -157,13 +157,13 @@ class TrainConfig(object):
     @property
     def nr_tower(self):
         logger.warn("TrainConfig.nr_tower was deprecated! Set the number of GPUs on the trainer instead!")
-        logger.warn("See https://github.com/ppwwyyxx/tensorpack/issues/458 for more information.")
+        logger.warn("See https://github.com/tensorpack/tensorpack/issues/458 for more information.")
         return len(self.tower)
 
     @nr_tower.setter
     def nr_tower(self, value):
         logger.warn("TrainConfig.nr_tower was deprecated! Set the number of GPUs on the trainer instead!")
-        logger.warn("See https://github.com/ppwwyyxx/tensorpack/issues/458 for more information.")
+        logger.warn("See https://github.com/tensorpack/tensorpack/issues/458 for more information.")
         self.tower = list(range(value))
 
     def _deprecated_parsing(self):

tensorpack/utils/utils.py

@@ -94,7 +94,7 @@ def fix_rng_seed(seed):
         seed (int):
 
     Note:
-        See https://github.com/ppwwyyxx/tensorpack/issues/196.
+        See https://github.com/tensorpack/tensorpack/issues/196.
 
     Examples:
 

tensorpack/utils/viz.py

@@ -164,7 +164,7 @@ def stack_patches(
     """
     Stacked patches into grid, to produce visualizations like the following:
 
-    .. image:: https://github.com/ppwwyyxx/tensorpack/raw/master/examples/GAN/demo/BEGAN-CelebA-samples.jpg
+    .. image:: https://github.com/tensorpack/tensorpack/raw/master/examples/GAN/demo/BEGAN-CelebA-samples.jpg
 
     Args:
         patch_list(list[ndarray] or ndarray): NHW or NHWC images in [0,255].

tests/run-tests.sh

 #!/bin/bash -e
 # File: run-tests.sh
-# Author: Yuxin Wu <ppwwyyxxc@gmail.com>
 
 DIR=$(dirname $0)
 cd $DIR