Difference between revisions of "Compiling Tensorflow from sources"
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cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/lib/gcc/arm-linux-gnueabihf/7.3.1/include-fixed" | cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/lib/gcc/arm-linux-gnueabihf/7.3.1/include-fixed" | ||
cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/arm-linux-gnueabihf/libc/usr/include" | cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/arm-linux-gnueabihf/libc/usr/include" | ||
| + | cxx_builtin_include_directory: "/usr/include" | ||
| + | cxx_builtin_include_directory: "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/" | ||
linker_flag: "-L/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/lib" | linker_flag: "-L/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/lib" | ||
Revision as of 07:17, 22 July 2018
Compiling Tensorflow from sources
First of all, we need a clean Ubuntu VM. I installed an Ubuntu 18.04LTS x86_64 with 80GB HD, 4 CPUs and 4GB of RAM.
After installing and setting the network, update:
apt-get update apt-get upgrade
Then install basic tools:
apt-get install python3-numpy python3-dev python3-pip python3-wheel apt-get install python
Then, download and install Bazel:
wget https://github.com/bazelbuild/bazel/releases/download/0.15.2/bazel_0.15.2-linux-x86_64.deb apt-get install ./bazel-0.15.2-linux-x86_64.deb
Then, download and extract Tensorflow source code:
wget https://github.com/tensorflow/tensorflow/archive/v1.9.0.tar.gz tar xvfz v1.9.0.tar.gz cd tensorflow-1.9.0
and configure it:
./configure
During the configuration, specify the python location (in this case, /usr/bin/python3) and just accept the defaults.
After that, it's time to compile:
bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package
during the compilation process, it may show many warnings.
The entire process will take about 2-3 hours.
To create a pip package:
./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
Under /tmp/tensorflow_pkg there will be the pip package: tensorflow-1.0-cp36-linux_x86_64.whl
It can be moved to the target machine and installed:
pip install /tmp/tensorflow_pkg/tensorflow-1.0-cp36-linux_x86_64.whl
Cross Compiling for Nanopi Neo (arm)
Download the toolchain from linaro:
https://releases.linaro.org/components/toolchain/binaries/latest/arm-linux-gnueabihf/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf.tar.xz tar xvf gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf.tar.xz
In tensorflow directory:
File BUILD:
package(default_visibility = ["//visibility:public"])
cc_toolchain_suite(
name = "toolchain",
toolchains = {
"armv7l|compiler": ":cc-compiler-armv7l",
},
)
filegroup(
name = "empty",
srcs = [],
)
filegroup(
name = "arm_linux_all_files",
srcs = [
"@toolchain_target_armv7l//:compiler_pieces",
],
)
cc_toolchain(
name = "cc-compiler-armv7l",
all_files = ":arm_linux_all_files",
compiler_files = ":arm_linux_all_files",
cpu = "armv7l",
dwp_files = ":empty",
dynamic_runtime_libs = [":empty"],
linker_files = ":arm_linux_all_files",
objcopy_files = "arm_linux_all_files",
static_runtime_libs = [":empty"],
strip_files = "arm_linux_all_files",
supports_param_files = 1,
)
Add to the end of the file WORKSPACE:
new_local_repository( name = 'toolchain_target_armv7l', path = '/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf', build_file = 'arm_compiler.BUILD' )
File CROSSTOOL:
major_version: "local"
minor_version: ""
default_target_cpu: "armv7l"
default_toolchain {
cpu: "armv7l"
toolchain_identifier: "armv7l"
}
toolchain {
abi_version: "armv7l"
abi_libc_version: "armv7l"
builtin_sysroot: ""
compiler: "compiler"
host_system_name: "armv7l"
needsPic: true
supports_gold_linker: false
supports_incremental_linker: false
supports_fission: false
supports_interface_shared_objects: false
supports_normalizing_ar: true
supports_start_end_lib: false
supports_thin_archives: true
target_libc: "armv7l"
target_cpu: "armv7l"
target_system_name: "armv7l"
toolchain_identifier: "armv7l"
tool_path { name: "ar" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-ar" }
tool_path { name: "compat-ld" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-ld" }
tool_path { name: "cpp" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-cpp" }
tool_path { name: "gcc" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcc" }
tool_path { name: "gcov" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-gcov" }
tool_path { name: "ld" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-ld" }
tool_path { name: "nm" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-nm" }
tool_path { name: "objcopy" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-objcopy" }
objcopy_embed_flag: "-I"
objcopy_embed_flag: "binary"
tool_path { name: "objdump" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-objdump" }
tool_path { name: "strip" path: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/bin/arm-linux-gnueabihf-strip" }
cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/include"
cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/lib/gcc/arm-linux-gnueabihf/7.3.1/include"
cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/arm-linux-gnueabihf/include"
cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/lib/gcc/arm-linux-gnueabihf/7.3.1/include-fixed"
cxx_builtin_include_directory: "/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/arm-linux-gnueabihf/libc/usr/include"
cxx_builtin_include_directory: "/usr/include"
cxx_builtin_include_directory: "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/"
linker_flag: "-L/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/lib"
linker_flag: "-L/home/fabio/gcc-linaro-7.3.1-2018.05-x86_64_arm-linux-gnueabihf/arm-linux-gnueabihf/lib"
# Anticipated future default.
# This makes GCC and Clang do what we want when called through symlinks.
unfiltered_cxx_flag: "-no-canonical-prefixes"
linker_flag: "-no-canonical-prefixes"
# Make C++ compilation deterministic. Use linkstamping instead of these
# compiler symbols.
unfiltered_cxx_flag: "-Wno-builtin-macro-redefined"
unfiltered_cxx_flag: "-D__DATE__=\"redacted\""
unfiltered_cxx_flag: "-D__TIMESTAMP__=\"redacted\""
unfiltered_cxx_flag: "-D__TIME__=\"redacted\""
# Security hardening on by default.
# Conservative choice; -D_FORTIFY_SOURCE=2 may be unsafe in some cases.
# We need to undef it before redefining it as some distributions now have
# it enabled by default.
compiler_flag: "-U_FORTIFY_SOURCE"
compiler_flag: "-fstack-protector"
compiler_flag: "-fPIE"
compiler_flag: "-std=gnu99"
linker_flag: "-pie"
linker_flag: "-Wl,-z,relro,-z,now"
# Enable coloring even if there's no attached terminal. Bazel removes the
# escape sequences if --nocolor is specified.
# compiler_flag: "-fdiagnostics-color=always"
# All warnings are enabled. Maybe enable -Werror as well?
compiler_flag: "-Wall"
compiler_flag: "-std=c++0x"
# Enable a few more warnings that aren't part of -Wall.
compiler_flag: "-Wunused-but-set-parameter"
# But disable some that are problematic.
compiler_flag: "-Wno-free-nonheap-object" # has false positives
# Keep stack frames for debugging, even in opt mode.
compiler_flag: "-fno-omit-frame-pointer"
# Stamp the binary with a unique identifier.
linker_flag: "-Wl,--build-id=md5"
linker_flag: "-Wl,--hash-style=gnu"
compilation_mode_flags {
mode: DBG
# Enable debug symbols.
compiler_flag: "-g"
}
compilation_mode_flags {
mode: OPT
# No debug symbols.
# Maybe we should enable https://gcc.gnu.org/wiki/DebugFission for opt or
# even generally? However, that can't happen here, as it requires special
# handling in Bazel.
compiler_flag: "-g0"
# Conservative choice for -O
# -O3 can increase binary size and even slow down the resulting binaries.
# Profile first and / or use FDO if you need better performance than this.
compiler_flag: "-O2"
# Disable assertions
compiler_flag: "-DNDEBUG"
# Removal of unused code and data at link time (can this increase binary size in some cases?).
compiler_flag: "-ffunction-sections"
compiler_flag: "-fdata-sections"
linker_flag: "-Wl,--gc-sections"
}
}
Launch ./configure, the only parameter to set is -march=armv7-a . Then,
bazel build --cpu=armv7l --crosstool_top=//:toolchain --host_crosstool_top=@bazel_tools//tools/cpp:toolchain --config=opt //tensorflow/tools/pip_package:build_pip_package --verbose_failures
If you get the error:
/home/fabio/.cache/bazel/_bazel_root/fd12a6b6cbea8cd3e3322a5a0a22d119/external/nsync/BUILD:466:13: Configurable attribute "copts" doesn't match this configuration (would a default condition help?).
then, you have to edit the file /home/fabio/.cache/bazel/_bazel_root/fd12a6b6cbea8cd3e3322a5a0a22d119/external/nsync/BUILD and add the line:
...
NSYNC_OPTS_GENERIC = select({
...
...
"//conditions:default": [],
}) + [
...
Then, relaunch the compile process.