diff --git a/RELEASE.md b/RELEASE.md index 4a33bce8b25..d8db1f72004 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -19,6 +19,14 @@ (with GPU and gradient support). * Add a self-check on `import tensorflow` for Windows DLL issues. * Add NCHW support to `tf.depth_to_space` on GPU. +* TensorFlow Debugger (tfdbg): + * Add `eval` command to allow evaluation of arbitrary Python/numpy expressions + in tfdbg command-line interface. See + [Debugging TensorFlow Programs](https://www.tensorflow.org/programmers_guide/debugger) + for more details. + * Usability improvement: The frequently used tensor filter `has_inf_or_nan` is + now added to `Session` wrappers and hooks by default. So there is no need + for clients to call `.add_tensor_filter(tf_debug.has_inf_or_nan)` anymore. * SinhArcsinh (scalar) distribution added to `contrib.distributions`. * Make `GANEstimator` opensource. * `Estimator.export_savedmodel()` now includes all valid serving signatures @@ -60,10 +68,14 @@ * Fix `tf.contrib.distributions.Affine` incorrectly computing log-det-jacobian. * Fix `tf.random_gamma` incorrectly handling non-batch, scalar draws. * Resolved a race condition in TensorForest TreePredictionsV4Op. -* Google Cloud Storage file system and Hadoop file system support are now - default build options. +* Google Cloud Storage file system, Amazon S3 file system, and Hadoop file + system support are now default build options. * Custom op libraries must link against libtensorflow_framework.so (installed at `tf.sysconfig.get_lib()`). +* Change `RunConfig` default behavior to not set a random seed, making random + behavior independently random on distributed workers. We expect this to + generally improve training performance. Models that do rely on determinism + should set a random seed explicitly. ## Breaking Changes to the API * The signature of the `tf.contrib.data.rejection_resample()` function has been @@ -74,6 +86,11 @@ * Remove seldom used and unnecessary `tf.contrib.data.Iterator.dispose_op()`. * Reorder some TFGAN loss functions in a non-backwards compatible way. +## Known Issues +* In Python 3, `Dataset.from_generator()` does not support Unicode strings. + You must convert any strings to bytes objects before yielding them from + the generator. + ## Thanks to our Contributors This release contains contributions from many people at Google, as well as: diff --git a/configure.py b/configure.py index 425eae676cb..bc7859fee4d 100644 --- a/configure.py +++ b/configure.py @@ -994,6 +994,7 @@ def main(): environ_cp['TF_NEED_HDFS'] = '0' environ_cp['TF_NEED_JEMALLOC'] = '0' environ_cp['TF_NEED_OPENCL'] = '0' + environ_cp['TF_NEED_S3'] = '0' environ_cp['TF_CUDA_CLANG'] = '0' if is_macos(): diff --git a/tensorflow/core/public/version.h b/tensorflow/core/public/version.h index 5d2298f7b7d..0bdd0c52ca4 100644 --- a/tensorflow/core/public/version.h +++ b/tensorflow/core/public/version.h @@ -24,7 +24,7 @@ limitations under the License. // TF_VERSION_SUFFIX is non-empty for pre-releases (e.g. "-alpha", "-alpha.1", // "-beta", "-rc", "-rc.1") -#define TF_VERSION_SUFFIX "-rc0" +#define TF_VERSION_SUFFIX "-rc1" #define TF_STR_HELPER(x) #x #define TF_STR(x) TF_STR_HELPER(x) diff --git a/tensorflow/docs_src/api_guides/cc/guide.md b/tensorflow/docs_src/api_guides/cc/guide.md index f30bf3797ed..81fb1e1fda2 100644 --- a/tensorflow/docs_src/api_guides/cc/guide.md +++ b/tensorflow/docs_src/api_guides/cc/guide.md @@ -1,4 +1,12 @@ # C++ API + +Note: By default [tensorflow.org](http://tensorflow.org) shows docs for the +most recent stable version. The instructions in this doc require building from +source. You will probably want to build from the `master` version of tensorflow. +You should, as a result, be sure you are following the +[`master` version of this doc](https://www.tensorflow.org/versions/master/api_guides/cc/guide), +in case there have been any changes. + [TOC] TensorFlow's C++ API provides mechanisms for constructing and executing a data @@ -48,7 +56,9 @@ TensorFlow `BUILD` file in the same directory with the following contents: ```python -cc_binary( +load("//tensorflow:tensorflow.bzl", "tf_cc_binary") + +tf_cc_binary( name = "example", srcs = ["example.cc"], deps = [ @@ -59,8 +69,10 @@ cc_binary( ) ``` -You should be able to build and run the example using the following command -(be sure to run `./configure` in your build sandbox first): +Use `tf_cc_binary` rather than Bazel's native `cc_binary` to link in necessary +symbols from `libtensorflow_framework.so`. You should be able to build and run +the example using the following command (be sure to run `./configure` in your +build sandbox first): ```shell bazel run -c opt //tensorflow/cc/example:example diff --git a/tensorflow/docs_src/install/install_c.md b/tensorflow/docs_src/install/install_c.md index 70f756b194c..3a153e81145 100644 --- a/tensorflow/docs_src/install/install_c.md +++ b/tensorflow/docs_src/install/install_c.md @@ -38,7 +38,7 @@ enable TensorFlow for C: OS="linux" # Change to "darwin" for macOS TARGET_DIRECTORY="/usr/local" curl -L \ - "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${OS}-x86_64-1.4.0-rc0.tar.gz" | + "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${OS}-x86_64-1.4.0-rc1.tar.gz" | sudo tar -C $TARGET_DIRECTORY -xz The `tar` command extracts the TensorFlow C library into the `lib` diff --git a/tensorflow/docs_src/install/install_go.md b/tensorflow/docs_src/install/install_go.md index eca2ecc5ac4..df43255896e 100644 --- a/tensorflow/docs_src/install/install_go.md +++ b/tensorflow/docs_src/install/install_go.md @@ -38,7 +38,7 @@ steps to install this library and enable TensorFlow for Go: TF_TYPE="cpu" # Change to "gpu" for GPU support TARGET_DIRECTORY='/usr/local' curl -L \ - "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.4.0-rc0.tar.gz" | + "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-$(go env GOOS)-x86_64-1.4.0-rc1.tar.gz" | sudo tar -C $TARGET_DIRECTORY -xz The `tar` command extracts the TensorFlow C library into the `lib` diff --git a/tensorflow/docs_src/install/install_java.md b/tensorflow/docs_src/install/install_java.md index 8eaec3712aa..f7f2c3cdc71 100644 --- a/tensorflow/docs_src/install/install_java.md +++ b/tensorflow/docs_src/install/install_java.md @@ -36,7 +36,7 @@ following to the project's `pom.xml` to use the TensorFlow Java APIs: org.tensorflow tensorflow - 1.4.0-rc0 + 1.4.0-rc1 ``` @@ -65,7 +65,7 @@ As an example, these steps will create a Maven project that uses TensorFlow: org.tensorflow tensorflow - 1.4.0-rc0 + 1.4.0-rc1 @@ -124,7 +124,7 @@ refer to the simpler instructions above instead. Take the following steps to install TensorFlow for Java on Linux or macOS: 1. Download - [libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.4.0-rc0.jar), + [libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.4.0-rc1.jar), which is the TensorFlow Java Archive (JAR). 2. Decide whether you will run TensorFlow for Java on CPU(s) only or with @@ -143,7 +143,7 @@ Take the following steps to install TensorFlow for Java on Linux or macOS: OS=$(uname -s | tr '[:upper:]' '[:lower:]') mkdir -p ./jni curl -L \ - "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-${TF_TYPE}-${OS}-x86_64-1.4.0-rc0.tar.gz" | + "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-${TF_TYPE}-${OS}-x86_64-1.4.0-rc1.tar.gz" | tar -xz -C ./jni ### Install on Windows @@ -151,10 +151,10 @@ Take the following steps to install TensorFlow for Java on Linux or macOS: Take the following steps to install TensorFlow for Java on Windows: 1. Download - [libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.4.0-rc0.jar), + [libtensorflow.jar](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-1.4.0-rc1.jar), which is the TensorFlow Java Archive (JAR). 2. Download the following Java Native Interface (JNI) file appropriate for - [TensorFlow for Java on Windows](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-windows-x86_64-1.4.0-rc0.zip). + [TensorFlow for Java on Windows](https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-windows-x86_64-1.4.0-rc1.zip). 3. Extract this .zip file. @@ -202,7 +202,7 @@ must be part of your `classpath`. For example, you can include the downloaded `.jar` in your `classpath` by using the `-cp` compilation flag as follows: -
javac -cp libtensorflow-1.4.0-rc0.jar HelloTF.java
+
javac -cp libtensorflow-1.4.0-rc1.jar HelloTF.java
### Running @@ -216,11 +216,11 @@ two files are available to the JVM: For example, the following command line executes the `HelloTF` program on Linux and macOS X: -
java -cp libtensorflow-1.4.0-rc0.jar:. -Djava.library.path=./jni HelloTF
+
java -cp libtensorflow-1.4.0-rc1.jar:. -Djava.library.path=./jni HelloTF
And the following command line executes the `HelloTF` program on Windows: -
java -cp libtensorflow-1.4.0-rc0.jar;. -Djava.library.path=jni HelloTF
+
java -cp libtensorflow-1.4.0-rc1.jar;. -Djava.library.path=jni HelloTF
If the program prints Hello from version, you've successfully installed TensorFlow for Java and are ready to use the API. If the program diff --git a/tensorflow/docs_src/install/install_linux.md b/tensorflow/docs_src/install/install_linux.md index 238159c6b18..414ab7b1f7d 100644 --- a/tensorflow/docs_src/install/install_linux.md +++ b/tensorflow/docs_src/install/install_linux.md @@ -188,7 +188,7 @@ Take the following steps to install TensorFlow with Virtualenv: Virtualenv environment: 
(tensorflow)$ pip3 install --upgrade \
-     https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl
+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc1-cp34-cp34m-linux_x86_64.whl If you encounter installation problems, see [Common Installation Problems](#common_installation_problems). @@ -293,7 +293,7 @@ take the following steps: 
      $ sudo pip3 install --upgrade \
-     https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl
+     https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc1-cp34-cp34m-linux_x86_64.whl
If this step fails, see @@ -480,7 +480,7 @@ Take the following steps to install TensorFlow in an Anaconda environment: 
      (tensorflow)$ pip install --ignore-installed --upgrade \
-     https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl
+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc1-cp34-cp34m-linux_x86_64.whl @@ -648,14 +648,14 @@ This section documents the relevant values for Linux installations. CPU only: 
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp27-none-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc1-cp27-none-linux_x86_64.whl
GPU support: 
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp27-none-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc1-cp27-none-linux_x86_64.whl
Note that GPU support requires the NVIDIA hardware and software described in @@ -667,14 +667,14 @@ Note that GPU support requires the NVIDIA hardware and software described in CPU only: 
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc1-cp34-cp34m-linux_x86_64.whl
GPU support: 
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp34-cp34m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc1-cp34-cp34m-linux_x86_64.whl
Note that GPU support requires the NVIDIA hardware and software described in @@ -686,14 +686,14 @@ Note that GPU support requires the NVIDIA hardware and software described in CPU only: 
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp35-cp35m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc1-cp35-cp35m-linux_x86_64.whl
GPU support: 
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp35-cp35m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc1-cp35-cp35m-linux_x86_64.whl
@@ -705,14 +705,14 @@ Note that GPU support requires the NVIDIA hardware and software described in CPU only: 
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp36-cp36m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc1-cp36-cp36m-linux_x86_64.whl
GPU support: 
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp36-cp36m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc1-cp36-cp36m-linux_x86_64.whl
diff --git a/tensorflow/docs_src/install/install_mac.md b/tensorflow/docs_src/install/install_mac.md index a44ade07319..9a95710bfa7 100644 --- a/tensorflow/docs_src/install/install_mac.md +++ b/tensorflow/docs_src/install/install_mac.md @@ -114,7 +114,7 @@ Take the following steps to install TensorFlow with Virtualenv: TensorFlow in the active Virtualenv is as follows: 
 $ pip3 install --upgrade \
-     https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc0-py2-none-any.whl
+ https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc1-py2-none-any.whl If you encounter installation problems, see [Common Installation Problems](#common-installation-problems). @@ -235,7 +235,7 @@ take the following steps: issue the following command: 
 $ sudo pip3 install --upgrade \
-     https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc0-py2-none-any.whl
+ https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc1-py2-none-any.whl If the preceding command fails, see [installation problems](#common-installation-problems). @@ -344,7 +344,7 @@ Take the following steps to install TensorFlow in an Anaconda environment: TensorFlow for Python 2.7: 
 (tensorflow)$ pip install --ignore-installed --upgrade \
-     https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc0-py2-none-any.whl
+ https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc1-py2-none-any.whl @@ -517,7 +517,7 @@ This section documents the relevant values for Mac OS installations. 
-https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc0-py2-none-any.whl
+https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc1-py2-none-any.whl
@@ -525,7 +525,7 @@ https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc0-py2-none-a 
-https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc0-py3-none-any.whl
+https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0rc1-py3-none-any.whl
diff --git a/tensorflow/docs_src/install/install_sources.md b/tensorflow/docs_src/install/install_sources.md index 1103c6a18ea..6d0dcdcd4ae 100644 --- a/tensorflow/docs_src/install/install_sources.md +++ b/tensorflow/docs_src/install/install_sources.md @@ -355,10 +355,10 @@ Invoke `pip install` to install that pip package. The filename of the `.whl` file depends on your platform. For example, the following command will install the pip package -for TensorFlow 1.4.0rc0 on Linux: +for TensorFlow 1.4.0rc1 on Linux: 
-$ sudo pip install /tmp/tensorflow_pkg/tensorflow-1.4.0rc0-py2-none-any.whl
+$ sudo pip install /tmp/tensorflow_pkg/tensorflow-1.4.0rc1-py2-none-any.whl
## Validate your installation @@ -447,8 +447,8 @@ Stack Overflow and specify the `tensorflow` tag. **Linux** - - + + @@ -460,7 +460,7 @@ Stack Overflow and specify the `tensorflow` tag. **Mac**
Version:CPU/GPU:Python Version:Compiler:Build Tools:cuDNN:CUDA:
tensorflow-1.4.0rc0CPU2.7, 3.3-3.6GCC 4.8Bazel 0.4.5N/AN/A
tensorflow_gpu-1.4.0rc0GPU2.7, 3.3-3.6GCC 4.8Bazel 0.4.568
tensorflow-1.4.0rc1CPU2.7, 3.3-3.6GCC 4.8Bazel 0.4.5N/AN/A
tensorflow_gpu-1.4.0rc1GPU2.7, 3.3-3.6GCC 4.8Bazel 0.4.568
tensorflow-1.2.0CPU2.7, 3.3-3.6GCC 4.8Bazel 0.4.5N/AN/A
tensorflow_gpu-1.2.0GPU2.7, 3.3-3.6GCC 4.8Bazel 0.4.55.18
tensorflow-1.1.0CPU2.7, 3.3-3.6GCC 4.8Bazel 0.4.2N/AN/A
- + @@ -471,8 +471,8 @@ Stack Overflow and specify the `tensorflow` tag. **Windows**
Version:CPU/GPU:Python Version:Compiler:Build Tools:cuDNN:CUDA:
tensorflow-1.4.0rc0CPU2.7, 3.3-3.6Clang from xcodeBazel 0.4.5N/AN/A
tensorflow-1.4.0rc1CPU2.7, 3.3-3.6Clang from xcodeBazel 0.4.5N/AN/A
tensorflow-1.2.0CPU2.7, 3.3-3.6Clang from xcodeBazel 0.4.5N/AN/A
tensorflow-1.1.0CPU2.7, 3.3-3.6Clang from xcodeBazel 0.4.2N/AN/A
tensorflow_gpu-1.1.0GPU2.7, 3.3-3.6Clang from xcodeBazel 0.4.25.18
- - + + diff --git a/tensorflow/tools/ci_build/update_version.py b/tensorflow/tools/ci_build/update_version.py index c7841f35aac..d2a63e5d66a 100755 --- a/tensorflow/tools/ci_build/update_version.py +++ b/tensorflow/tools/ci_build/update_version.py @@ -17,7 +17,7 @@ # Automatically update TensorFlow version in source files # # Usage: -# ./tensorflow/tools/ci_build/update_version.py --version 1.4.0-rc0 +# ./tensorflow/tools/ci_build/update_version.py --version 1.4.0-rc1 # ./tensorflow/tools/ci_build/update_version.py --nightly # """Update version of TensorFlow script.""" diff --git a/tensorflow/tools/pip_package/setup.py b/tensorflow/tools/pip_package/setup.py index 4f0de8f7689..071b3a2a188 100644 --- a/tensorflow/tools/pip_package/setup.py +++ b/tensorflow/tools/pip_package/setup.py @@ -29,7 +29,7 @@ from setuptools.dist import Distribution # This version string is semver compatible, but incompatible with pip. # For pip, we will remove all '-' characters from this string, and use the # result for pip. -_VERSION = '1.4.0-rc0' +_VERSION = '1.4.0-rc1' REQUIRED_PACKAGES = [ 'enum34 >= 1.1.6',
Version:CPU/GPU:Python Version:Compiler:Build Tools:cuDNN:CUDA:
tensorflow-1.4.0rc0CPU3.5-3.6MSVC 2015 update 3Cmake v3.6.3N/AN/A
tensorflow_gpu-1.4.0rc0GPU3.5-3.6MSVC 2015 update 3Cmake v3.6.368
tensorflow-1.4.0rc1CPU3.5-3.6MSVC 2015 update 3Cmake v3.6.3N/AN/A
tensorflow_gpu-1.4.0rc1GPU3.5-3.6MSVC 2015 update 3Cmake v3.6.368
tensorflow-1.2.0CPU3.5-3.6MSVC 2015 update 3Cmake v3.6.3N/AN/A
tensorflow_gpu-1.2.0GPU3.5-3.6MSVC 2015 update 3Cmake v3.6.35.18
tensorflow-1.1.0CPU3.5MSVC 2015 update 3Cmake v3.6.3N/AN/A