Merge branch 'r1.0'

README.md

@@ -33,10 +33,11 @@ and discussion.**
 
 People who are a little more adventurous can also try our nightly binaries:
 
-* Linux CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.12.1-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
-* Linux GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-0.12.1-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-0.12.1-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-0.12.1-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/))
-* Mac CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.12.1-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-0.12.1-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/))
-* Mac GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-0.12.1-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-0.12.1-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/))
+* Linux CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.0.0rc1-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.0.0rc1-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.0.0rc1-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/))
+* Linux GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.0.0rc1-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/)) / [Python 3.4](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.0.0rc1-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/)) / [Python 3.5](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.0.0rc1-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-linux-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/))
+* Mac CPU-only: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.0.0rc1-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.0.0rc1-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/))
+* Mac GPU: [Python 2](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.0.0rc1-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/)) / [Python 3](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow_gpu-1.0.0rc1-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-mac/))
+* [Android](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-android/TF_BUILD_CONTAINER_TYPE=ANDROID,TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=NO_PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=android-slave/lastSuccessfulBuild/artifact/bazel-out/local_linux/bin/tensorflow/examples/android/tensorflow_demo.apk) ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-android/TF_BUILD_CONTAINER_TYPE=ANDROID,TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=NO_PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=android-slave/))
 * Android: [demo APK](https://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/tensorflow_demo.apk), [native libs](http://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/native/)
 ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-android/))
 

RELEASE.md

@@ -1,7 +1,20 @@
-# Changes since the last release
+# Release 1.0.0
 
-## Breaking Changes to the API
+## Major Features and Improvements
+* XLA (experimental): initial release of [XLA](https://www.tensorflow.org/versions/master/experimental/xla/), a domain-specific compiler for TensorFlow graphs, that targets CPUs and GPUs.
+* TensorFlow Debugger (tfdbg): command-line interface and API.
+* New python 3 docker images added.
+* Made pip packages pypi compliant. TensorFlow can now be installed by `pip
+  install tensorflow` command.
+* Several python API calls have been changed to resemble NumPy more closely.
+* Android: person detection + tracking demo implementing Scalable Object
+  Detection using Deep Neural Networks.
+* New (experimental) [Java API](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/java).
+* Add new Android image stylization demo based on "A Learned Representation For Artistic Style", and add YOLO object detector support.
 
+## Breaking Changes to the API
+To help you upgrade your existing TensorFlow Python code to match the API changes below, we have prepared a [conversion script](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/compatibility).
+* TensorFlow/models have been moved to a separate github repository.
 * Division and modulus operators (/, //, %) now match Python (flooring)
   semantics. This applies to `tf.div` and `tf.mod` as well. To obtain forced
   integer truncation based behaviors you can use `tf.truncatediv`
@@ -51,16 +64,93 @@
   keywords. In particular we now match NumPy order as
   `tf.sparse_split(sp_input, num_split, axis)`. NOTE: we have temporarily
   made `tf.sparse_split` require keyword arguments.
-* Deprecated `tf.concat` operator. Please switch to use `tf.concat_v2` for now.
-  In the Beta release, we will update `tf.concat` to match argument order of
-  `tf.concat_v2.
-* tf.image.decode_jpeg by default uses the faster DCT method, sacrificing
+* `tf.concat` now takes arguments in reversed order and with different keywords. In particular we now match NumPy order as `tf.concat(values, axis, name)`.
+* `tf.image.decode_jpeg` by default uses the faster DCT method, sacrificing
   a little fidelity for improved speed. One can revert to the old
-  behavior by specifying the attribute dct_method='INTEGER_ACCURATE'.
+  behavior by specifying the attribute `dct_method='INTEGER_ACCURATE'`.
 * `tf.complex_abs` has been removed from the Python interface. `tf.abs`
   supports complex tensors and should be used instead.
 * In the C++ API (in tensorflow/cc), Input, Output, etc. have moved
   from the tensorflow::ops namespace to tensorflow.
+* Template.`var_scope` property renamed to `.variable_scope`
+* SyncReplicasOptimizer is removed and SyncReplicasOptimizerV2 renamed to SyncReplicasOptimizer.
+* `tf.zeros_initializer()` and `tf.ones_initializer()` now return a callable
+  that must be called with initializer arguments, in your code replace
+  `tf.zeros_initializer` with `tf.zeros_initializer()`.
+* `SparseTensor.shape` has been renamed to `SparseTensor.dense_shape`.  Same for
+  `SparseTensorValue.shape`.
+* Replace tf.scalar_summary, tf.histogram_summary, tf.audio_summary, tf.image_summary with tf.summary.scalar, tf.summary.histogram, tf.summary.audio, tf.summary.image, respectively. The new summary ops take name rather than tag as their first argument, meaning summary ops now respect TensorFlow name scopes.
+* Replace tf.train.SummaryWriter and tf.train.SummaryWriterCache with tf.summary.FileWriter and tf.summary.FileWriterCache.
+* Removes RegisterShape from public API. Use C++ shape function registration
+  instead.
+* Deprecated `_ref` dtypes from the python API.
+* In the C++ API (in tensorflow/cc), Input, Output, etc. have moved
+  from the tensorflow::ops namespace to tensorflow.
+* Change arg order for `{softmax,sparse_softmax,sigmoid}_cross_entropy_with_logits` to be (labels, predictions), and force use of named args.
+
+## Bug Fixes and Other Changes
+* New op: `parallel_stack`.
+* Introducing common tf io compression options constants for
+  RecordReader/RecordWriter.
+* Add `sparse_column_with_vocabulary_file`, to specify a feature column that
+  transform string features to IDs, where the mapping is defined by a vocabulary
+  file.
+* Added `index_to_string_table` which returns a lookup table that maps indices to
+  strings.
+* Add `string_to_index_table`, which returns a lookup table that matches strings
+  to indices.
+* Add a `ParallelForWithWorkerId` function.
+* Add `string_to_index_table`, which returns a lookup table that matches strings
+  to indices.
+* Support restore session from checkpoint files in v2 in `contrib/session_bundle`.
+* Added a tf.contrib.image.rotate function for arbitrary angles.
+* Added `tf.contrib.framework.filter_variables` as a convenience function to
+  filter lists of variables based on regular expressions.
+* `make_template()` takes an optional `custom_getter_ param`.
+* Added comment about how existing directories are handled by
+  `recursive_create_dir`.
+* Added an op for QR factorizations.
+* Divides and mods in Python API now use flooring (Python) semantics.
+* Android: pre-built libs are now built nightly.
+* Android: cmake/gradle build for TensorFlow Inference library under
+  `contrib/android/cmake`
+* Android: Much more robust Session initialization code.
+* Android: TF stats now exposed directly in demo and log when debug mode is
+  active
+* Android: new/better README.md documentation
+* saved_model is available as `tf.saved_model`.
+* Empty op is now stateful.
+* Improve speed of scatter_update on the cpu for ASSIGN operations.
+* Change `reduce_join` to treat `reduction_indices` in the same way as other `reduce_` ops.
+* Move `TensorForestEstimator` to `contrib/tensor_forest`.
+* Enable compiler optimizations by default and allow configuration in configure.
+* `tf.divide` now honors the name field.
+* Make metrics weight broadcasting more strict.
+* Add new queue-like `StagingArea` and new ops: `stage` and `unstage`.
+
+## Thanks to our Contributors
+
+This release contains contributions from many people at Google, as well as:
+
+Aaron Hu, Abhishek Aggarwal, Adam Michael, Adriano Carmezim, @AfirSraftGarrier,
+Alexander Novikov, Alexander Rosenberg Johansen, Andrew Gibiansky, Andrew Hundt,
+Anish Shah, Anton Loss, @b0noI, @BoyuanJiang, Carl Thomé, Chad Kennedy, Comic
+Chang, Connor Braa, Daniel N. Lang, Daniel Trebbien,
+@danielgordon10, Darcy Liu, Darren Garvey, Dmitri Lapin, Eron Wright, Evan
+Cofer, Fabrizio Milo, Finbarr Timbers, Franck Dernoncourt, Garrett Smith,
+@guschmue, Hao Wei, Henrik Holst, Huazuo Gao, @Ian, @Issac, Jacob Israel,
+Jangsoo Park, Jin Kim, Jingtian Peng, John Pope, Kye Bostelmann, Liangliang He,
+Ling Zhang, Luheng He, Luke Iwanski, @lvli, Michael Basilyan, Mihir Patel,
+Mikalai Drabovich, Morten Just, @newge, Nick Butlin, Nishant Shukla,
+Pengfei Ni, Przemyslaw Tredak, @rasbt, @Ronny, Rudolf Rosa, @RustingSword,
+Sam Abrahams, Sam Putnam, @SeongAhJo, Shi Jiaxin, @skavulya, Steffen MüLler,
+@TheUSER123, @tiriplicamihai, @vhasanov, Victor Costan, Vit Stepanovs,
+Wangda Tan, Wenjian Huang, Xingdong Zuo, Yaroslav Bulatov, Yota Toyama,
+Yuan (Terry) Tang, Yuxin Wu
+
+We are also grateful to all who filed issues or helped resolve them, asked and
+answered questions, and were part of inspiring discussions.
+
 
 # Release 0.12.0
 
@@ -100,15 +190,15 @@
 ## Breaking Changes to the API
 
 * `BusAdjacency` enum replaced with a protocol buffer `DeviceLocality`.  PCI bus
-  indexing now starts from 1 instead of 0, and bus_id==0 is used where
-  previously BUS_ANY was used.
+  indexing now starts from 1 instead of 0, and `bus_id==0` is used where
+  previously `BUS_ANY` was used.
 * `Env::FileExists` and `FileSystem::FileExists` now return a tensorflow::Status
   intead of a bool. Any callers to this function can be converted to a bool
   by adding .ok() to the call.
 * The C API type `TF_SessionWithGraph` has been renamed to `TF_Session`,
   indicating its preferred use in language bindings for TensorFlow.
   What was previously `TF_Session` has been renamed to `TF_DeprecatedSession`.
-* Renamed TF_Port to TF_Output in the C API.
+* Renamed `TF_Port` to `TF_Output` in the C API.
 * Removes RegisterShape from public API. Use C++ shape function registration instead.
   indexing now starts from 1 instead of 0, and `bus_id==0` is used where
   previously `BUS_ANY` was used.
@@ -143,7 +233,7 @@
   `tf.global_variables_initializer` respectively.
 * `tf.zeros_initializer()` and `tf.ones_initializer()` now return a callable
   that must be called with initializer arguments, in your code replace
-  tf.zeros_initializer with tf.zeros_initializer()
+  `tf.zeros_initializer` with `tf.zeros_initializer()`
 
 ## Bug Fixes and Other Changes
 

tensorflow/contrib/cmake/setup.py

@@ -26,7 +26,7 @@
 from setuptools.command.install import install as InstallCommandBase
 from setuptools.dist import Distribution
 
-_VERSION = '0.12.1-cmake-experimental'
+_VERSION = '1.0.0-rc1-cmake-experimental'
 
 REQUIRED_PACKAGES = [
     'numpy >= 1.11.0',

tensorflow/contrib/learn/python/learn/models.py

@@ -274,10 +274,10 @@ def bidirectional_rnn(cell_fw,
   output_bw = _reverse_seq(tmp, sequence_length)
   # Concat each of the forward/backward outputs
   outputs = [
-      array_ops_.concat_v2([fw, bw], 1) for fw, bw in zip(output_fw, output_bw)
+      array_ops_.concat([fw, bw], 1) for fw, bw in zip(output_fw, output_bw)
   ]
 
-  return outputs, array_ops_.concat_v2([state_fw, state_bw], 1)
+  return outputs, array_ops_.concat([state_fw, state_bw], 1)
 
 
 # End of TensorFlow 0.7

tensorflow/contrib/learn/python/learn/ops/embeddings_ops.py

@@ -59,7 +59,7 @@ def embedding_lookup(params, ids, name='embedding_lookup'):
     ids_flat = array_ops_.reshape(
         ids, math_ops.reduce_prod(shape, keep_dims=True))
     embeds_flat = nn.embedding_lookup(params, ids_flat, name)
-    embed_shape = array_ops_.concat_v2([shape, [-1]], 0)
+    embed_shape = array_ops_.concat([shape, [-1]], 0)
     embeds = array_ops_.reshape(embeds_flat, embed_shape)
     embeds.set_shape(ids.get_shape().concatenate(params.get_shape()[1:]))
     return embeds

tensorflow/core/public/version.h

@@ -18,9 +18,9 @@ limitations under the License.
 
 // TensorFlow uses semantic versioning, see http://semver.org/.
 
-#define TF_MAJOR_VERSION 0
-#define TF_MINOR_VERSION 12
-#define TF_PATCH_VERSION head
+#define TF_MAJOR_VERSION 1
+#define TF_MINOR_VERSION 0
+#define TF_PATCH_VERSION 0-rc1
 
 // TF_VERSION_SUFFIX is non-empty for pre-releases (e.g. "-alpha", "-alpha.1",
 // "-beta", "-rc", "-rc.1")