Sarkars/Add file for batchmatmul, to fix interpreter build. Also new release (#84)

Author: sayantan-nervana

CMakeLists.txt

@@ -239,7 +239,7 @@ if (NOT USE_PRE_BUILT_NGRAPH)
     ExternalProject_Add(
         ext_ngraph
         GIT_REPOSITORY https://github.com/NervanaSystems/ngraph
-        GIT_TAG v0.19.0
+        GIT_TAG v0.19.1
         CMAKE_ARGS 
             -DNGRAPH_DISTRIBUTED_ENABLE=${NGRAPH_DISTRIBUTED_ENABLE}
             -DNGRAPH_INSTALL_PREFIX=${NGRAPH_ARTIFACTS_DIR}

README.md

@@ -89,7 +89,7 @@ The installation prerequisites are the same as described in the TensorFlow
 
         git clone https://github.com/tensorflow/ngraph-bridge.git
         cd ngraph-bridge
-        git checkout v0.12.0
+        git checkout v0.14.0
 
 
 2. Next run the following Python script to build TensorFlow, nGraph and the bridge. Please use Python 3.5:
@@ -120,7 +120,7 @@ with nGraph backends. Please note that you can also install the TensorFlow and n
    This will produce something like this:
 
         TensorFlow version:  1.13.1
-        nGraph bridge version: b'0.12.0'
+        nGraph bridge version: b'0.14.0'
         nGraph version used for this build: b'0.18.0+c5d52f1'
         TensorFlow version used for this build: v1.13.1-0-g6612da8951
         CXX11_ABI flag used for this build: 0

bazel/WORKSPACE

@@ -25,11 +25,11 @@ tf_configure(
 http_archive(
     name = "ngraph",
     build_file = "//:bazel/ngraph.BUILD",
-    sha256 = "41f8aae60d79a9d96b3db852c5594e843fcd1bbc2fe5bfe6a947fdbaf518a7e3",
-    strip_prefix = "ngraph-0.19.0",
+    sha256 = "b81fdfed63028d7e7ba91b85950d57974e1151e37bbf894cde757b583f09181c",
+    strip_prefix = "ngraph-0.19.1",
     urls = [
-        "https://mirror.bazel.build/github.com/NervanaSystems/ngraph/archive/v0.19.0.tar.gz",
-        "https://github.com/NervanaSystems/ngraph/archive/v0.19.0.tar.gz"
+        "https://mirror.bazel.build/github.com/NervanaSystems/ngraph/archive/v0.19.1.tar.gz",
+        "https://github.com/NervanaSystems/ngraph/archive/v0.19.1.tar.gz"
     ],
 )
 

bazel/ngraph.BUILD

@@ -37,6 +37,7 @@ cc_library(
         "src/ngraph/descriptor/layout/*.cpp",
         "src/ngraph/op/*.cpp",
         "src/ngraph/op/fused/*.cpp",
+        "src/ngraph/op/experimental/batch_mat_mul.cpp",
         "src/ngraph/op/experimental/dyn_broadcast.cpp",
         "src/ngraph/op/experimental/dyn_pad.cpp",
         "src/ngraph/op/experimental/dyn_reshape.cpp",
@@ -97,6 +98,7 @@ cc_binary(
         "src/ngraph/except.hpp",
         "src/ngraph/runtime/interpreter/*.cpp",
         "src/ngraph/state/rng_state.cpp",
+        "src/ngraph/runtime/hybrid/hybrid_tensor.cpp",
         "src/ngraph/runtime/hybrid/hybrid_backend.cpp",
         "src/ngraph/runtime/hybrid/hybrid_backend.hpp",
         "src/ngraph/runtime/hybrid/hybrid_executable.cpp",

build_ngtf.py

@@ -24,7 +24,7 @@ def main():
     '''
 
     # Component versions
-    ngraph_version = "v0.19.0"
+    ngraph_version = "v0.19.1"
     tf_version = "v1.13.1"
 
     # Command line parser options

python/setup.in.py

@@ -59,7 +59,7 @@ def get_tag(self):
 
 setup( 
     name='ngraph_tensorflow_bridge',
-    version='0.12.0',
+    version='0.14.0',
     description='Intel nGraph compiler and runtime for TensorFlow',
     long_description=long_description,
     long_description_content_type="text/markdown",

src/ngraph_builder.cc

@@ -95,7 +95,8 @@ std::shared_ptr<TOpType> ConstructNgNode(const std::string& op_name,
                                          TArg&&... Args) {
   auto ng_node = std::make_shared<TOpType>(std::forward<TArg>(Args)...);
   ng_node->set_friendly_name(op_name);
-  ng_node->add_provenance_tag(op_name);
+  // Fails for now, so commenting out for now
+  // ng_node->add_provenance_tag(op_name);
   return ng_node;
 }
 

src/version.cc

@@ -22,7 +22,7 @@
 // nGraph-TensorFlow bridge uses semantic versioning: see http://semver.org/
 
 #define NG_TF_MAJOR_VERSION 0
-#define NG_TF_MINOR_VERSION 12
+#define NG_TF_MINOR_VERSION 14
 #define NG_TF_PATCH_VERSION 0
 
 // The version suffix is used for pre-release version numbers