py-tensorflow Computation using data flow graphs for scalable machine learning

1.14.0_3 science =0 1.14.0Version of this port present on the latest quarterly branch.

Maintainer: amzo1337@gmail.com

Port Added: 2017-08-15 12:08:16

Last Update: 2019-11-20 14:42:36

SVN Revision: 518023

Also Listed In: python

License: APACHE20

Description:

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. WWW: https://www.tensorflow.org

SVNWeb : Homepage

There is no configure plist information for this port.

Dependency lines:

• py36-tensorflow>0:science/py-tensorflow

To install the port: cd /usr/ports/science/py-tensorflow/ && make install clean

To add the package: pkg install py36-tensorflow

PKGNAME: py36-tensorflow

Package flavors (<flavor>: <package>)

• py36: py36-tensorflow

ONLY_FOR_ARCHS: amd64

distinfo:

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Dependencies

NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:

1. py36-absl>=0.7.1 : devel/py-absl@py36
2. py36-astor>=0.5 : devel/py-astor@py36
3. py36-gast>=0.2.2 : devel/py-gast@py36
4. py36-numpy>=1.11.2 : math/py-numpy@py36
5. py36-google-pasta>=0.1.7 : devel/py-google-pasta@py36
6. py36-protobuf>=3.7.1 : devel/py-protobuf@py36
7. py36-six>=1.10.0 : devel/py-six@py36
8. py36-termcolor>=1.1.0 : devel/py-termcolor@py36
9. py36-grpcio>=1.22.0 : devel/py-grpcio@py36
10. py36-keras>=2.2.4 : math/py-keras@py36
11. py36-wrapt>=1.11.2 : devel/py-wrapt@py36
12. py36-wheel>=0.30.0 : devel/py-wheel@py36
13. py36-setuptools>0 : devel/py-setuptools@py36
14. python3.6 : lang/python36
15. py36-grpcio-tools>=1.22.0 : devel/py-grpcio-tools@py36
16. bash : shells/bash
17. cython : lang/cython
18. swig3.0 : devel/swig30
19. bazel : devel/bazel029
20. py36-setuptools>0 : devel/py-setuptools@py36
21. python3.6 : lang/python36

Runtime dependencies:

1. py36-absl>=0.7.1 : devel/py-absl@py36
2. py36-astor>=0.5 : devel/py-astor@py36
3. py36-gast>=0.2.2 : devel/py-gast@py36
4. py36-numpy>=1.11.2 : math/py-numpy@py36
5. py36-google-pasta>=0.1.7 : devel/py-google-pasta@py36
6. py36-protobuf>=3.7.1 : devel/py-protobuf@py36
7. py36-six>=1.10.0 : devel/py-six@py36
8. py36-termcolor>=1.1.0 : devel/py-termcolor@py36
9. py36-grpcio>=1.22.0 : devel/py-grpcio@py36
10. py36-keras>=2.2.4 : math/py-keras@py36
11. py36-wrapt>=1.11.2 : devel/py-wrapt@py36
12. py36-wheel>=0.30.0 : devel/py-wheel@py36
13. py36-setuptools>0 : devel/py-setuptools@py36
14. python3.6 : lang/python36

Library dependencies:

1. libsnappy.so : archivers/snappy
2. liblmdb.so : databases/lmdb
3. libsqlite3.so : databases/sqlite3
4. libicuio.so : devel/icu
5. libjsoncpp.so : devel/jsoncpp
6. libpcre.so : devel/pcre
7. libnsync.so : devel/nsync
8. libprotobuf.so : devel/protobuf
9. libprotobuf-c.so : devel/protobuf-c
10. libre2.so : devel/re2
11. libgif.so : graphics/giflib
12. libpng.so : graphics/png
13. libgpr.so : devel/grpc
14. libcurl.so : ftp/curl
15. libgoogle_cloud_cpp_common.so : devel/google-cloud-cpp
16. libflatbuffers.so : devel/flatbuffers
17. libdouble-conversion.so : devel/double-conversion
18. libjpeg.so : graphics/jpeg-turbo

This port is required by:

for Build

1. science/py-tensorflow-estimator

Configuration Options

===> The following configuration options are available for py36-tensorflow-1.14.0_3: CPU_OPTS=off: Enable optimisations using features available on your CPU ===> Use 'make config' to modify these settings

USES:

python:3.6+ shebangfix jpeg ssl

Master Sites:

1. https://codeload.github.com/tensorflow/tensorflow/tar.gz/v1.14.0?dummy=/

• 2017-11-30

  Affects: */py*

  Author: mat@FreeBSD.org

  Reason: 
    Ports using Python via USES=python are now flavored.  All the py3-* ports
    have been removed and folded into their py-* master ports.
  
    People using Poudriere 3.2+ and binary packages do not have to do anything.
  
    For other people, to build the Python 3.6 version of, for example,
    databases/py-gdbm, you need to run:
  
      # make FLAVOR=py36 install
  
  

Unbreak bulk -a with non default versions of python3

Don't put magic strings where they are not needed.

science/py-tensorflow: Fix the option CPU_OPTS=ON, it wasn't passing options to
bazel.

The BAZEL_COPT variable was always left blank, while docs recommend passing
optimization options to bazel.

Also replace .include with option helpers.

Testing performed:	Ran with CPU_OPTS=ON on a simple computation and observed
that warnings about missing SSE4.2 optimizations are gone.
Approved by:	portmgr (unbreak the option; change to the recommended format)

science/py-tensorflow: Fix build by using the version of devel/bazel (0.29.0)
that is known to be able to build it

One of the previous commits to devel/bazel broke tensorflow.

Fun fact: the latest version of tensorflow-2.0.0 also fails to build with the
latest version of bazel-1.1.0.

Mark BROKEN: fails to build

ERROR:
/wrkdirs/usr/ports/science/py-tensorflow/work-py36/bazel_out/c4d2d4417b4eb41713ce6dd52d587dc4/external/protobuf_archive/protobuf.bzl:274:40:
The value 'REPOSITORY_NAME' has been removed in favor of 'repository_name()',
please use the latter
(https://docs.bazel.build/versions/master/skylark/lib/native.html#repository_name).
ERROR: Skipping '//tensorflow:libtensorflow.so': error loading package
'tensorflow': in
/wrkdirs/usr/ports/science/py-tensorflow/work-py36/tensorflow-1.14.0/tensorflow/core/platform/default/build_config.bzl:
Extension 'protobuf.bzl' has errors
ERROR: error loading package 'tensorflow': in
/wrkdirs/usr/ports/science/py-tensorflow/work-py36/tensorflow-1.14.0/tensorflow/core/platform/default/build_config.bzl:
Extension 'protobuf.bzl' has errors

Reported by:	pkg-fallout

science/py-tensorflow: Unbreak by fixing dependencies

PR:		240578
Submitted by:	amzo1337@gmail.com (maintainer)

devel/icu: update to 65.1

Changes:	http://site.icu-project.org/download/65
ABI:		https://abi-laboratory.pro/tracker/timeline/icu4c/

Mark BROKEN

WARNING: Download from
https://mirror.bazel.build/github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip
failed: class java.net.ConnectException Can't assign requested address (connect
failed)
WARNING: Download from
https://github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip
failed: class java.net.ConnectException Can't assign requested address (connect
failed)
ERROR: An error occurred during the fetch of repository 'rules_cc':
   java.io.IOException: Error downloading
[https://mirror.bazel.build/github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip,
https://github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip]
to
/wrkdirs/usr/ports/science/py-tensorflow/work-py36/bazel_out/c4d2d4417b4eb41713ce6dd52d587dc4/external/rules_cc/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip:
Can't assign requested address (connect failed)
ERROR: While resolving toolchains for target
//tensorflow:libtensorflow.so.1.14.0:
com.google.devtools.build.lib.packages.RepositoryFetchException: no such package
'@rules_cc//cc': java.io.IOException: Error downloading
[https://mirror.bazel.build/github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip,
https://github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip]
to
/wrkdirs/usr/ports/science/py-tensorflow/work-py36/bazel_out/c4d2d4417b4eb41713ce6dd52d587dc4/external/rules_cc/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip:
Can't assign requested address (connect failed)
ERROR: Analysis of target '//tensorflow:libtensorflow.so' failed; build aborted:
com.google.devtools.build.lib.packages.RepositoryFetchException: no such package
'@rules_cc//cc': java.io.IOException: Error downloading
[https://mirror.bazel.build/github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip,
https://github.com/bazelbuild/rules_cc/archive/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip]
to
/wrkdirs/usr/ports/science/py-tensorflow/work-py36/bazel_out/c4d2d4417b4eb41713ce6dd52d587dc4/external/rules_cc/0d5f3f2768c6ca2faca0079a997a97ce22997a0c.zip:
Can't assign requested address (connect failed)

Reported by:	pkg-fallout

Re-add science/py-tensorflow: Computation using data flow graphs for scalable
machine learning

Many thanks to Anthony who was highly persistent and skillful in getting the
Tensorflow build on FreeBSD!

PR:		226400
Submitted by:	Anthony <amzo1337@gmail.com>

Remove broken and expired port which also depends on clang38 (on 10).

Correction to r473019: Revert the unintended change to the 'Created by' headers.

Reset MAINTAINER on ports maintained by amutu@amutu.com

Based on the new policy of all maintained ports reset
when maintaner is absent for 3 months.

Bug#226400 for science/py-tensorflow is ignored since 2018-03-06 (3+ months).
portscout database indicates that 48.94% of his ports aren't updated.

Use PY_FLAVOR for dependencies.

FLAVOR is the current port's flavor, it should not be used outside of
this scope.

Sponsored by:	Absolight

Deprecate ports broken for more than 6 months

Bump PORTREVISIONs of all users of math/mpc that we just updated to
version 1.1.0 (via revision 464079).

Convert Python ports to FLAVORS.

  Ports using USE_PYTHON=distutils are now flavored.  They will
  automatically get flavors (py27, py34, py35, py36) depending on what
  versions they support.

  There is also a USE_PYTHON=flavors for ports that do not use distutils
  but need FLAVORS to be set.  A USE_PYTHON=noflavors can be set if
  using distutils but flavors are not wanted.

  A new USE_PYTHON=optsuffix that will add PYTHON_PKGNAMESUFFIX has been
  added to cope with Python ports that did not have the Python
  PKGNAMEPREFIX but are flavored.

  USES=python now also exports a PY_FLAVOR variable that contains the

Mark BROKEN: fails to build

Extracting Bazel installation...
ERROR:
/wrkdirs/usr/ports/science/py-tensorflow/work/tensorflow-1.2.1/bazel_ot/f4693a59cc0f39b12832b03860533e20/external/io_bazel_rules_closure/closure/private/defs.bzl:27:16:
The `set` constructor for depsets is deprecated and will be removed. Please use
the `depset` constructor instead. You can temporarily enable the deprecated
`set` constructor by passing the flag
--incompatible_disallow_set_constructor=false
ERROR: error loading package '': Extension file 'closure/private/defs.bzl' has
errors

Reported by:	pkg-fallout

Ad TensorFlow 1.2.1

PR:		219609
Submitted by:	Jov <amutu@amutu.com>

9 vulnerabilities affecting 115 ports have been reported in the past 14 days

^* - modified, not new

All vulnerabilities

Last updated:
2019-11-20 10:58:20