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‎Makefile

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PORTNAME= libtensorflow1
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DISTVERSIONPREFIX= v
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DISTVERSION= 1.15.5
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DISTVERSIONSUFFIX=
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CATEGORIES= science
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MAINTAINER= [email protected]
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COMMENT= C API for TensorFlow, an open source platform for machine learning
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LICENSE= APACHE20 THIRD_PARTY_TF_C_LICENSES
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LICENSE_COMB= multi
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LICENSE_NAME_THIRD_PARTY_TF_C_LICENSES= Third-Party TensorFlow C Licenses
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LICENSE_FILE_APACHE20= ${WRKSRC}/LICENSE
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LICENSE_FILE_THIRD_PARTY_TF_C_LICENSES= ${WRKDIR}/THIRD_PARTY_TF_C_LICENSES
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LICENSE_PERMS_THIRD_PARTY_TF_C_LICENSES= dist-mirror dist-sell pkg-mirror pkg-sell auto-accept
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CONFLICTS_INSTALL= science/libtensorflow2
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ONLY_FOR_ARCHS= amd64
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BUILD_DEPENDS= bash:shells/bash \
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bazel:devel/bazel029 \
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git:devel/git
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USES= gmake python:3.7-3.9,build
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BINARY_ALIAS= python3=${PYTHON_CMD}
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BINARY_ALIAS+= python=${PYTHON_CMD}
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USE_GITHUB= yes
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GH_ACCOUNT= tensorflow
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GH_PROJECT= tensorflow
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USE_LDCONFIG= yes
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OPTIONS_DEFINE= CUDA ROCM XLA
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OPTIONS_SINGLE= CPUFEATURE
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OPTIONS_SINGLE_CPUFEATURE= NOAVX AVX AVX2
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NOAVX_DESC= Disable Advanced Vector Extensions
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AVX_DESC= Enable Advanced Vector Extensions (AVX)
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AVX2_DESC= Enable Advanced Vector Extensions v2 (AVX2)
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NOAVX_VARS= BAZEL_ARGS=""
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AVX_VARS= BAZEL_ARGS="--copt=-march=core-avx-i --host_copt=-march=core-avx-i"
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AVX2_VARS= BAZEL_ARGS="--copt=-march=core-avx2 --host_copt=-march=core-avx2"
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CUDA_DESC= Enable Compute Unified Device Architecture (CUDA) for Nvidia GPUs
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CUDA_VARS= TF_ENABLE_CUDA=1
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CUDA_VARS_OFF= TF_ENABLE_CUDA=0
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ROCM_DESC= Enable Radeon Open Computer (ROCm) for AMD GPUs
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ROCM_VARS= TF_ENABLE_ROCM=1
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ROCM_VARS_OFF= TF_ENABLE_ROCM=0
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XLA_DESC= Enable Accelerated Linear Algebra (XLA)
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XLA_VARS= TF_ENABLE_XLA=1
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XLA_VARS_OFF= TF_ENABLE_XLA=0
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OPTIONS_DEFAULT= AVX
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BAZEL_OPTS= --output_user_root=${WRKDIR}/bazel_out
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CC?= clang
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post-extract:
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# THIRD_PARTY_TF_C_LICENSES is generated as a Bazel build target (see
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# //tensorflow/tools/lib_package:clicenses) and the empty file written
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# here will be overwritten. Creation of this file is to satisfy checks.
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@${TOUCH} ${WRKDIR}/THIRD_PARTY_TF_C_LICENSES
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do-configure:
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@cd ${WRKSRC} && ${SETENV} \
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CC_OPT_FLAGS="-I${LOCALBASE}/include" \
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PREFIX="${LOCALBASE}" \
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PYTHON_BIN_PATH=${PYTHON_CMD} \
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PYTHON_LIB_PATH="${PYTHON_SITELIBDIR}" \
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TF_CONFIGURE_IOS=0 \
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TF_DOWNLOAD_CLANG=0 \
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TF_ENABLE_XLA=${TF_ENABLE_XLA} \
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TF_IGNORE_MAX_BAZEL_VERSION=0 \
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TF_NEED_CUDA=${TF_ENABLE_CUDA} \
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TF_NEED_ROCM=${TF_ENABLE_ROCM} \
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TF_NEED_TENSORRT=0 \
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TF_SET_ANDROID_WORKSPACE=0 \
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${LOCALBASE}/bin/bash ./configure
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do-build:
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@cd ${WRKSRC} && ${LOCALBASE}/bin/bazel ${BAZEL_OPTS} build \
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${BAZEL_ARGS} \
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--action_env=PATH=${PATH} \
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--local_cpu_resources=${MAKE_JOBS_NUMBER} \
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--noshow_loading_progress \
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--noshow_progress \
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--subcommands \
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--verbose_failures \
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//tensorflow/tools/lib_package:clicenses_generate \
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//tensorflow/tools/lib_package:libtensorflow.tar.gz
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do-test:
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@cd ${WRKSRC} && ${LOCALBASE}/bin/bazel ${BAZEL_OPTS} test \
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${BAZEL_ARGS} \
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--action_env=PATH=${PATH} \
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--local_cpu_resources=${MAKE_JOBS_NUMBER} \
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--noshow_loading_progress \
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--noshow_progress \
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--subcommands \
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--test_env=CC=${CC} \
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--verbose_failures \
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//tensorflow/tools/lib_package:libtensorflow_test
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pre-install:
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@${CP} ${WRKSRC}/bazel-bin/tensorflow/tools/lib_package/THIRD_PARTY_TF_C_LICENSES ${WRKDIR}/THIRD_PARTY_TF_C_LICENSES
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@${MKDIR} ${WRKDIR}/lib_package
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@tar xz -C ${WRKDIR}/lib_package -f ${WRKSRC}/bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz
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${MKDIR} ${STAGEDIR}${PREFIX}/include/tensorflow
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${MKDIR} ${STAGEDIR}${PREFIX}/include/tensorflow/c
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${MKDIR} ${STAGEDIR}${PREFIX}/include/tensorflow/c/eager
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do-install:
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${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/c_api_experimental.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/c_api_experimental.h
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${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/c_api.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/c_api.h
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${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/eager/c_api.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/eager/c_api.h
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${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_attrtype.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_attrtype.h
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${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_datatype.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_datatype.h
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${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_status.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_status.h
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${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_tensor.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_tensor.h
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${INSTALL_PROGRAM} ${WRKDIR}/lib_package/lib/libtensorflow.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.${DISTVERSION}
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${INSTALL_PROGRAM} ${WRKDIR}/lib_package/lib/libtensorflow_framework.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.${DISTVERSION}
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@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.1
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@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.1 ${STAGEDIR}${PREFIX}/lib/libtensorflow.so
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@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.1
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@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.1 ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so
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.include <bsd.port.mk>

‎README.md

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# libtensorflow1-freebsd-port
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FreeBSD port for Tensorflow 1.15
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FreeBSD port for Tensorflow 1.15
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This provides an easy to use copy of *science/libtensorflow1* until the port is
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committed to the repository.
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You can follow the port progress in [bug
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260694](https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=260694)
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# Usage
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```
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cd /usr/ports/science
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git clone https://github.com/psa/libtensorflow1-freebsd-port libtensorflow1
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cd libtensorflow1
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make package
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```
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This takes a long time to build (~90 minutes with 4 Xeon E31275 @ 3.40GHz
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cores) and 8 GiB of RAM.

‎distinfo

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TIMESTAMP = 1640438990
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SHA256 (tensorflow-tensorflow-v1.15.5_GH0.tar.gz) = 4c4d23e311093ded2d2e287b18d7c45b07b5984ab88a1d2f91f8f13c886123db
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SIZE (tensorflow-tensorflow-v1.15.5_GH0.tar.gz) = 46212258

‎files/patch-.bazelrc

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--- .bazelrc.orig 2021-01-04 20:18:42.000000000 +0000
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+++ .bazelrc 2021-12-25 17:26:39.181508000 +0000
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@@ -195,7 +195,7 @@
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build:c++1z --config=c++17
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# Default paths for TF_SYSTEM_LIBS
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-build --define=PREFIX=/usr
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+build --define=PREFIX=/usr/local
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build --define=LIBDIR=$(PREFIX)/lib
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build --define=INCLUDEDIR=$(PREFIX)/include
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@@ -208,6 +208,9 @@
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# Instruction set optimizations
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# TODO(gunan): Create a feature in toolchains for avx/avx2 to
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# avoid having to define linux/win separately.
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+build:avx_freebsd --copt=-mavx
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+build:avx2_freebsd --copt=-mavx2
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+build:native_arch_freebsd --copt=-march=native
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build:avx_linux --copt=-mavx
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build:avx2_linux --copt=-mavx2
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build:native_arch_linux --copt=-march=native
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@@ -295,6 +298,20 @@
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build:rbe_linux_py3 --python_path="/usr/bin/python3"
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build:rbe_linux_py3 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py3"
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+build:rbe_cpu_freebsd --config=rbe_cpu_linux
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+build:rbe_freebsd_cuda_nvcc --config=rbe_linux_cuda_nvcc
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+common:rbe_gpu_freebsd --config=rbe_gpu_linux
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+
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+build:rbe_freebsd_py2 --config=rbe_linux
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+build:rbe_freebsd_py2 --repo_env=PYTHON_BIN_PATH="/usr/local/bin/python2"
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+build:rbe_freebsd_py2 --python_path="/usr/local/bin/python2"
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+build:rbe_freebsd_py2 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py"
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+
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+build:rbe_freebsd_py3 --config=rbe_linux
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+build:rbe_freebsd_py3 --repo_env=PYTHON_BIN_PATH="/usr/local/bin/python3"
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+build:rbe_freebsd_py3 --python_path="/usr/local/bin/python3"
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+build:rbe_freebsd_py3 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py3"
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+
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build:rbe_win --config=rbe
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build:rbe_win --crosstool_top="@org_tensorflow//third_party/toolchains/preconfig/win_1803/bazel_026:toolchain"
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build:rbe_win --extra_execution_platforms="@org_tensorflow//third_party/toolchains/preconfig/win_1803:rbe_windows_1803"
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@@ -334,6 +351,9 @@
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build:tensorflow_testing_rbe_linux --config=tensorflow_testing_rbe
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build:tensorflow_testing_rbe_linux --config=rbe
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build:tensorflow_testing_rbe_linux --config=rbe_linux
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+
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+common:tensorflow_testing_rbe_freebsd --config=tensorflow_testing_rbe_linux
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+build:tensorflow_testing_rbe_freebsd --config=tensorflow_testing_rbe_linux
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common:tensorflow_testing_rbe_win --remote_instance_name=projects/tensorflow-testing/instances/windows
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build:tensorflow_testing_rbe_win --config=tensorflow_testing_rbe

‎files/patch-configure.py

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--- configure.py.orig 2021-12-25 17:58:29.902610000 +0000
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+++ configure.py 2021-12-25 17:59:34.301740000 +0000
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@@ -475,7 +475,7 @@
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print('Cannot find bazel. Please install bazel.')
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sys.exit(0)
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curr_version = run_shell(
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- ['bazel', '--batch', '--bazelrc=/dev/null', 'version'])
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+ ['bazel', '--batch', '--output_user_root=/tmp/.bazel', '--bazelrc=/dev/null', 'version'])
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for line in curr_version.split('\n'):
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if 'Build label: ' in line:

‎pkg-descr

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TensorFlow is an end-to-end open source platform for machine learning. It has a
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comprehensive, flexible ecosystem of tools, libraries, and community resources
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that lets researchers push the state-of-the-art in ML and developers easily
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build and deploy ML-powered applications. The TensorFlow C API is typically a
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requirement of TensorFlow APIs in other languages such as Go and Rust.
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This is version 1 of the API, which is deprecated but still widely used.
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WWW: https://www.tensorflow.org/install/lang_c

‎pkg-plist

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@dir include/tensorflow
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@dir include/tensorflow/c
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@dir include/tensorflow/c/eager
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include/tensorflow/c/c_api_experimental.h
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include/tensorflow/c/c_api.h
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include/tensorflow/c/eager/c_api.h
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include/tensorflow/c/tf_attrtype.h
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include/tensorflow/c/tf_datatype.h
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include/tensorflow/c/tf_status.h
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include/tensorflow/c/tf_tensor.h
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lib/libtensorflow.so
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lib/libtensorflow.so.1
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lib/libtensorflow.so.1.15.5
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lib/libtensorflow_framework.so
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lib/libtensorflow_framework.so.1
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lib/libtensorflow_framework.so.1.15.5

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