diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..4bf62dc
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,134 @@
+PORTNAME=  libtensorflow1
+DISTVERSIONPREFIX=  v
+DISTVERSION=  1.15.5
+DISTVERSIONSUFFIX=
+CATEGORIES=  science
+
+MAINTAINER=  freebsd-ports@otoh.org
+COMMENT=  C API for TensorFlow, an open source platform for machine learning
+
+LICENSE=  APACHE20 THIRD_PARTY_TF_C_LICENSES
+LICENSE_COMB=  multi
+LICENSE_NAME_THIRD_PARTY_TF_C_LICENSES=  Third-Party TensorFlow C Licenses
+LICENSE_FILE_APACHE20=  ${WRKSRC}/LICENSE
+LICENSE_FILE_THIRD_PARTY_TF_C_LICENSES=  ${WRKDIR}/THIRD_PARTY_TF_C_LICENSES
+LICENSE_PERMS_THIRD_PARTY_TF_C_LICENSES=  dist-mirror dist-sell pkg-mirror pkg-sell auto-accept
+
+CONFLICTS_INSTALL= science/libtensorflow2
+
+ONLY_FOR_ARCHS=  amd64
+
+BUILD_DEPENDS=  bash:shells/bash \
+		bazel:devel/bazel029 \
+	  git:devel/git
+
+USES=  gmake python:3.7-3.9,build
+BINARY_ALIAS=  python3=${PYTHON_CMD}
+BINARY_ALIAS+=  python=${PYTHON_CMD}
+
+USE_GITHUB=  yes
+GH_ACCOUNT=  tensorflow
+GH_PROJECT=  tensorflow
+
+USE_LDCONFIG=  yes
+
+OPTIONS_DEFINE=  CUDA ROCM XLA
+
+OPTIONS_SINGLE= CPUFEATURE
+OPTIONS_SINGLE_CPUFEATURE= NOAVX AVX AVX2
+
+NOAVX_DESC= Disable Advanced Vector Extensions
+AVX_DESC=  Enable Advanced Vector Extensions (AVX)
+AVX2_DESC=  Enable Advanced Vector Extensions v2 (AVX2)
+
+NOAVX_VARS= BAZEL_ARGS=""
+AVX_VARS=   BAZEL_ARGS="--copt=-march=core-avx-i --host_copt=-march=core-avx-i"
+AVX2_VARS=  BAZEL_ARGS="--copt=-march=core-avx2 --host_copt=-march=core-avx2"
+
+CUDA_DESC=  Enable Compute Unified Device Architecture (CUDA) for Nvidia GPUs
+CUDA_VARS=  TF_ENABLE_CUDA=1
+CUDA_VARS_OFF=  TF_ENABLE_CUDA=0
+
+ROCM_DESC=  Enable Radeon Open Computer (ROCm) for AMD GPUs
+ROCM_VARS=  TF_ENABLE_ROCM=1
+ROCM_VARS_OFF=  TF_ENABLE_ROCM=0
+
+XLA_DESC=  Enable Accelerated Linear Algebra (XLA)
+XLA_VARS=  TF_ENABLE_XLA=1
+XLA_VARS_OFF=  TF_ENABLE_XLA=0
+
+OPTIONS_DEFAULT= AVX
+
+BAZEL_OPTS=  --output_user_root=${WRKDIR}/bazel_out
+CC?=  clang
+
+post-extract:
+	# THIRD_PARTY_TF_C_LICENSES is generated as a Bazel build target (see
+	# //tensorflow/tools/lib_package:clicenses) and the empty file written
+	# here will be overwritten. Creation of this file is to satisfy checks.
+	@${TOUCH} ${WRKDIR}/THIRD_PARTY_TF_C_LICENSES
+
+do-configure:
+	@cd ${WRKSRC} && ${SETENV} \
+	  CC_OPT_FLAGS="-I${LOCALBASE}/include" \
+	  PREFIX="${LOCALBASE}" \
+	  PYTHON_BIN_PATH=${PYTHON_CMD} \
+	  PYTHON_LIB_PATH="${PYTHON_SITELIBDIR}" \
+	  TF_CONFIGURE_IOS=0 \
+	  TF_DOWNLOAD_CLANG=0 \
+	  TF_ENABLE_XLA=${TF_ENABLE_XLA} \
+	  TF_IGNORE_MAX_BAZEL_VERSION=0 \
+	  TF_NEED_CUDA=${TF_ENABLE_CUDA} \
+	  TF_NEED_ROCM=${TF_ENABLE_ROCM} \
+	  TF_NEED_TENSORRT=0 \
+	  TF_SET_ANDROID_WORKSPACE=0 \
+	  ${LOCALBASE}/bin/bash ./configure
+
+do-build:
+	@cd ${WRKSRC} && ${LOCALBASE}/bin/bazel ${BAZEL_OPTS} build \
+	  ${BAZEL_ARGS} \
+	  --action_env=PATH=${PATH} \
+	  --local_cpu_resources=${MAKE_JOBS_NUMBER} \
+	  --noshow_loading_progress \
+	  --noshow_progress \
+	  --subcommands \
+	  --verbose_failures \
+	  //tensorflow/tools/lib_package:clicenses_generate \
+	  //tensorflow/tools/lib_package:libtensorflow.tar.gz
+
+do-test:
+	@cd ${WRKSRC} && ${LOCALBASE}/bin/bazel ${BAZEL_OPTS} test \
+	  ${BAZEL_ARGS} \
+	  --action_env=PATH=${PATH} \
+	  --local_cpu_resources=${MAKE_JOBS_NUMBER} \
+	  --noshow_loading_progress \
+	  --noshow_progress \
+	  --subcommands \
+	  --test_env=CC=${CC} \
+	  --verbose_failures \
+	  //tensorflow/tools/lib_package:libtensorflow_test
+
+pre-install:
+	@${CP} ${WRKSRC}/bazel-bin/tensorflow/tools/lib_package/THIRD_PARTY_TF_C_LICENSES ${WRKDIR}/THIRD_PARTY_TF_C_LICENSES
+	@${MKDIR} ${WRKDIR}/lib_package
+	@tar xz -C ${WRKDIR}/lib_package -f ${WRKSRC}/bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz
+	${MKDIR} ${STAGEDIR}${PREFIX}/include/tensorflow
+	${MKDIR} ${STAGEDIR}${PREFIX}/include/tensorflow/c
+	${MKDIR} ${STAGEDIR}${PREFIX}/include/tensorflow/c/eager
+
+do-install:
+	${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/c_api_experimental.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/c_api_experimental.h
+	${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/c_api.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/c_api.h
+	${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/eager/c_api.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/eager/c_api.h
+	${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_attrtype.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_attrtype.h
+	${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_datatype.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_datatype.h
+	${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_status.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_status.h
+	${INSTALL_DATA} ${WRKDIR}/lib_package/include/tensorflow/c/tf_tensor.h ${STAGEDIR}${PREFIX}/include/tensorflow/c/tf_tensor.h
+	${INSTALL_PROGRAM} ${WRKDIR}/lib_package/lib/libtensorflow.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.${DISTVERSION}
+	${INSTALL_PROGRAM} ${WRKDIR}/lib_package/lib/libtensorflow_framework.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.${DISTVERSION}
+	@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.1
+	@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow.so.1 ${STAGEDIR}${PREFIX}/lib/libtensorflow.so
+	@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.${DISTVERSION} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.1
+	@${RLN} ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so.1 ${STAGEDIR}${PREFIX}/lib/libtensorflow_framework.so
+
+.include <bsd.port.mk>
diff --git a/README.md b/README.md
index 3468b0f..d815b7e 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,19 @@
-# libtensorflow1-freebsd-port
-FreeBSD port for Tensorflow 1.15 
+FreeBSD port for Tensorflow 1.15
+
+This provides an easy to use copy of *science/libtensorflow1* until the port is
+committed to the repository.
+
+You can follow the port progress in [bug
+260694](https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=260694)
+
+# Usage
+
+```
+cd /usr/ports/science
+git clone https://github.com/psa/libtensorflow1-freebsd-port libtensorflow1
+cd libtensorflow1
+make package
+```
+
+This takes a long time to build (~90 minutes with 4 Xeon E31275 @ 3.40GHz
+cores) and 8 GiB of RAM.
diff --git a/distinfo b/distinfo
new file mode 100644
index 0000000..46eaa7b
--- /dev/null
+++ b/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1640438990
+SHA256 (tensorflow-tensorflow-v1.15.5_GH0.tar.gz) = 4c4d23e311093ded2d2e287b18d7c45b07b5984ab88a1d2f91f8f13c886123db
+SIZE (tensorflow-tensorflow-v1.15.5_GH0.tar.gz) = 46212258
diff --git a/files/patch-.bazelrc b/files/patch-.bazelrc
new file mode 100644
index 0000000..a83c5c8
--- /dev/null
+++ b/files/patch-.bazelrc
@@ -0,0 +1,52 @@
+--- .bazelrc.orig       2021-01-04 20:18:42.000000000 +0000
++++ .bazelrc    2021-12-25 17:26:39.181508000 +0000
+@@ -195,7 +195,7 @@
+ build:c++1z --config=c++17
+
+ # Default paths for TF_SYSTEM_LIBS
+-build --define=PREFIX=/usr
++build --define=PREFIX=/usr/local
+ build --define=LIBDIR=$(PREFIX)/lib
+ build --define=INCLUDEDIR=$(PREFIX)/include
+
+@@ -208,6 +208,9 @@
+ # Instruction set optimizations
+ # TODO(gunan): Create a feature in toolchains for avx/avx2 to
+ #   avoid having to define linux/win separately.
++build:avx_freebsd --copt=-mavx
++build:avx2_freebsd --copt=-mavx2
++build:native_arch_freebsd --copt=-march=native
+ build:avx_linux --copt=-mavx
+ build:avx2_linux --copt=-mavx2
+ build:native_arch_linux --copt=-march=native
+@@ -295,6 +298,20 @@
+ build:rbe_linux_py3 --python_path="/usr/bin/python3"
+ build:rbe_linux_py3 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py3"
+
++build:rbe_cpu_freebsd --config=rbe_cpu_linux
++build:rbe_freebsd_cuda_nvcc --config=rbe_linux_cuda_nvcc
++common:rbe_gpu_freebsd --config=rbe_gpu_linux
++
++build:rbe_freebsd_py2 --config=rbe_linux
++build:rbe_freebsd_py2 --repo_env=PYTHON_BIN_PATH="/usr/local/bin/python2"
++build:rbe_freebsd_py2 --python_path="/usr/local/bin/python2"
++build:rbe_freebsd_py2 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py"
++
++build:rbe_freebsd_py3 --config=rbe_linux
++build:rbe_freebsd_py3 --repo_env=PYTHON_BIN_PATH="/usr/local/bin/python3"
++build:rbe_freebsd_py3 --python_path="/usr/local/bin/python3"
++build:rbe_freebsd_py3 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py3"
++
+ build:rbe_win --config=rbe
+ build:rbe_win --crosstool_top="@org_tensorflow//third_party/toolchains/preconfig/win_1803/bazel_026:toolchain"
+ build:rbe_win --extra_execution_platforms="@org_tensorflow//third_party/toolchains/preconfig/win_1803:rbe_windows_1803"
+@@ -334,6 +351,9 @@
+ build:tensorflow_testing_rbe_linux --config=tensorflow_testing_rbe
+ build:tensorflow_testing_rbe_linux --config=rbe
+ build:tensorflow_testing_rbe_linux --config=rbe_linux
++
++common:tensorflow_testing_rbe_freebsd --config=tensorflow_testing_rbe_linux
++build:tensorflow_testing_rbe_freebsd --config=tensorflow_testing_rbe_linux
+
+ common:tensorflow_testing_rbe_win --remote_instance_name=projects/tensorflow-testing/instances/windows
+ build:tensorflow_testing_rbe_win --config=tensorflow_testing_rbe
diff --git a/files/patch-configure.py b/files/patch-configure.py
new file mode 100644
index 0000000..47cf07d
--- /dev/null
+++ b/files/patch-configure.py
@@ -0,0 +1,11 @@
+--- configure.py.orig   2021-12-25 17:58:29.902610000 +0000
++++ configure.py        2021-12-25 17:59:34.301740000 +0000
+@@ -475,7 +475,7 @@
+     print('Cannot find bazel. Please install bazel.')
+     sys.exit(0)
+   curr_version = run_shell(
+-      ['bazel', '--batch', '--bazelrc=/dev/null', 'version'])
++      ['bazel', '--batch', '--output_user_root=/tmp/.bazel', '--bazelrc=/dev/null', 'version'])
+
+   for line in curr_version.split('\n'):
+     if 'Build label: ' in line:
diff --git a/pkg-descr b/pkg-descr
new file mode 100644
index 0000000..7496c29
--- /dev/null
+++ b/pkg-descr
@@ -0,0 +1,9 @@
+TensorFlow is an end-to-end open source platform for machine learning. It has a
+comprehensive, flexible ecosystem of tools, libraries, and community resources
+that lets researchers push the state-of-the-art in ML and developers easily
+build and deploy ML-powered applications. The TensorFlow C API is typically a
+requirement of TensorFlow APIs in other languages such as Go and Rust.
+
+This is version 1 of the API, which is deprecated but still widely used.
+
+WWW: https://www.tensorflow.org/install/lang_c
diff --git a/pkg-plist b/pkg-plist
new file mode 100644
index 0000000..69ba1fc
--- /dev/null
+++ b/pkg-plist
@@ -0,0 +1,16 @@
+@dir include/tensorflow
+@dir include/tensorflow/c
+@dir include/tensorflow/c/eager
+include/tensorflow/c/c_api_experimental.h
+include/tensorflow/c/c_api.h
+include/tensorflow/c/eager/c_api.h
+include/tensorflow/c/tf_attrtype.h
+include/tensorflow/c/tf_datatype.h
+include/tensorflow/c/tf_status.h
+include/tensorflow/c/tf_tensor.h
+lib/libtensorflow.so
+lib/libtensorflow.so.1
+lib/libtensorflow.so.1.15.5
+lib/libtensorflow_framework.so
+lib/libtensorflow_framework.so.1
+lib/libtensorflow_framework.so.1.15.5