v0.2 preparations (JetBrains#547)

* v0.2 preparations

* Fix Tensorflow sample.

CHANGELOG.md

@@ -0,0 +1,15 @@
+## v0.2 ##
+  * Added support for coroutines
+  * Fixed most stdlib incompatibilities
+  * Improved memory management performance
+  * Cross-module inline function support
+  * Unicode support independent from installed system locales
+  * Interoperability improvements
+     * file-based filtering in definition file
+     * stateless lambdas could be used as C callbacks
+     * any Unicode string could be passed to C function
+  * Very basic debugging support
+  * Improve compilation and linking performance
+
+## v0.1 ##
+Initial technical preview of Kotlin/Native.

DISTRO_README.md

@@ -1,4 +1,4 @@
- Kotlin/Native  #
+# Kotlin/Native  #
 
 _Kotlin/Native_ is a LLVM backend for the Kotlin compiler, runtime
 implementation and native code generation facility using LLVM toolchain.

RELEASE_NOTES.md

@@ -31,7 +31,8 @@ the following platforms:
 
  ## Compatibility and features ##
 
-To run _Kotlin/Native_ JDK8 or later for the host platform has to be installed.
+To run _Kotlin/Native_ JDK8 for the host platform has to be installed.
+Note that Java 9 not yet supported.
 
 The language and library version supported by this EAP release mostly match Kotlin 1.1.
 However, there are certain limitations, see section [Known Limitations](#limitations).
@@ -67,12 +68,8 @@ for benchmarking and competitive analysis of any kind.
 
 ### Standard Library ###
 
-  The standard library in _Kotlin/Native_ is known to be incomplete and doesn't include
-certain methods available in standard library of Kotlin.
-
-### Coroutines ###
-
-Coroutines are not yet supported with this release.
+  The standard library in _Kotlin/Native_ is known to be incomplete and may not include
+few methods available in standard library of Kotlin (notably, regular expression-related).
 
 ### Reflection ###
 

samples/tensorflow/README.md

@@ -18,4 +18,6 @@ Compile:
 
 Run:
 
-    ./HelloTensorflow.kexe
+    ./HelloTensorflow.kexe
+
+You may need to specify `LD_LIBRARY_PATH` or `DYLD_LIBRARY_PATH` to `/opt/local/lib` if TensorFlow dynamic library cannot be found.

samples/tensorflow/build.sh

@@ -2,11 +2,12 @@
 
 PATH=../../dist/bin:../../bin:$PATH
 DIR=.
+TF_TARGET_DIRECTORY="/opt/local"
 
 if [ x$TARGET == x ]; then
 case "$OSTYPE" in
-  darwin*)  TARGET=macbook ;;
-  linux*)   TARGET=linux ;;
+  darwin*)  TARGET=macbook; TF_TARGET=darwin ;;
+  linux*)   TARGET=linux; TF_TARGET=linux ;;
   *)        echo "unknown: $OSTYPE" && exit 1;;
 esac
 fi
@@ -18,6 +19,15 @@ LINKER_ARGS=${!var}
 var=COMPILER_ARGS_${TARGET}
 COMPILER_ARGS=${!var} # add -opt for an optimized build.
 
+if [ ! -d $TF_TARGET_DIRECTORY/include/tensorflow ]; then
+ echo "Installing TensorFlow..."
+ TF_TYPE="cpu" # Change to "gpu" for GPU support
+ TF_TARGET_DIRECTORY="/opt/local"
+ curl -s -L \
+   "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-${TF_TYPE}-${TF_TARGET}-x86_64-1.1.0.tar.gz" |
+   sudo tar -C $TF_TARGET_DIRECTORY -xz
+fi
+
 cinterop -def $DIR/tensorflow.def -copt "$CFLAGS" -target $TARGET -o tensorflow.kt.bc || exit 1
 konanc $COMPILER_ARGS -target $TARGET $DIR/HelloTensorflow.kt -library tensorflow.kt.bc -o HelloTensorflow.kexe \
-    -linkerArgs "-L/usr/local/lib -ltensorflow" || exit 1
+    -linkerArgs "-L/opt/local/lib -ltensorflow" || exit 1

samples/tensorflow/tensorflow.def

@@ -1,2 +1,2 @@
 headers = tensorflow/c/c_api.h
-compilerOpts = -I/usr/local/include -L/usr/local/lib
+compilerOpts = -I/opt/local/include -L/opt/local/lib