5c7f9e316d
Splits out a shared object (//tensorflow/libtensorflow_framework.so) with core TensorFlow functionality but neither ops nor kernels. This object does include registries for ops, kernels, filesystems, etc. The expectation is that shared objects containing custom ops will have a runtime dependency on this framework shared object: TensorFlow will load the custom op shared object, and the custom op shared object will use the symbols from the framework shared object to register its ops/kernels/etc. rather than (as before this change) relying on those symbols being in the global symbol table. In this mode, TensorFlow artifacts (_pywrap_tensorflow.so for Python, libtensorflow.so for the C API; currently excluding Android artifacts) will depend on the framework shared object, which will be packaged with the Python pip package and other language distributions. This means that custom ops targeting the framework shared object will work in any language (C++, Java, Go; previously custom ops in these languages required custom Bazel builds). Adds a config option which reproduces the old behavior (--config=monolithic), which for Python means building a monolithic pywrap_tensorflow shared object and loading its symbols into the global symbol table (with RTLD_GLOBAL). As before, there will be no extra-Bazel custom op support for other languages when compiling in this mode. Does not change behavior on Windows; the cmake build is still monolithic. Requires using tf_cc_binary, tf_cc_test, and (rarely) tf_cc_shared_object rules to link in the framework shared object when adding new TensorFlow build rules. PiperOrigin-RevId: 169572746
53 lines
1.8 KiB
Bash
Executable File
53 lines
1.8 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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set -ex
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# Sanity test for the package C-library archive.
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# - Unarchive
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# - Compile a trivial C file that uses the archive
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# - Run it
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# Tools needed: A C-compiler and tar
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CC="${CC}"
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TAR="${TAR}"
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[ -z "${CC}" ] && CC="/usr/bin/gcc"
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[ -z "${TAR}" ] && TAR="tar"
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# bazel tests run with ${PWD} set to the root of the bazel workspace
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TARFILE="${PWD}/tensorflow/tools/lib_package/libtensorflow.tar.gz"
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CFILE="${PWD}/tensorflow/tools/lib_package/libtensorflow_test.c"
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cd ${TEST_TMPDIR}
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# Extract the archive into tensorflow/
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mkdir tensorflow
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${TAR} -xzf ${TARFILE} -Ctensorflow
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# Compile the test .c file. Assumes with_framework_lib=True.
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${CC} ${CFILE} -Itensorflow/include -Ltensorflow/lib\
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-ltensorflow_framework -ltensorflow -oa.out
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# Execute it, with the shared library available.
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# DYLD_LIBRARY_PATH is used on OS X, LD_LIBRARY_PATH on Linux.
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#
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# The tests for GPU require CUDA libraries to be accessible, which
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# are in DYLD_LIBRARY_PATH in the test harness for OS X.
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export DYLD_LIBRARY_PATH=tensorflow/lib:${DYLD_LIBRARY_PATH}
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export LD_LIBRARY_PATH=tensorflow/lib:${LD_LIBRARY_PATH}
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./a.out
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