[arch-commits] Commit in tensorflow/repos/community-x86_64 (12 files)
Konstantin Gizdov
kgizdov at gemini.archlinux.org
Thu Aug 26 15:16:54 UTC 2021
Date: Thursday, August 26, 2021 @ 15:16:54
Author: kgizdov
Revision: 1006239
archrelease: copy trunk to community-x86_64
Added:
tensorflow/repos/community-x86_64/48935.patch
(from rev 1006238, tensorflow/trunk/48935.patch)
tensorflow/repos/community-x86_64/PKGBUILD
(from rev 1006238, tensorflow/trunk/PKGBUILD)
tensorflow/repos/community-x86_64/build-against-actual-mkl.patch
(from rev 1006238, tensorflow/trunk/build-against-actual-mkl.patch)
tensorflow/repos/community-x86_64/fix-c++17-compat.patch
(from rev 1006238, tensorflow/trunk/fix-c++17-compat.patch)
tensorflow/repos/community-x86_64/openssl-1.1.patch
(from rev 1006238, tensorflow/trunk/openssl-1.1.patch)
tensorflow/repos/community-x86_64/test.py
(from rev 1006238, tensorflow/trunk/test.py)
Deleted:
tensorflow/repos/community-x86_64/48935.patch
tensorflow/repos/community-x86_64/PKGBUILD
tensorflow/repos/community-x86_64/build-against-actual-mkl.patch
tensorflow/repos/community-x86_64/fix-c++17-compat.patch
tensorflow/repos/community-x86_64/openssl-1.1.patch
tensorflow/repos/community-x86_64/test.py
--------------------------------+
48935.patch | 706 +++++++++++++++++++--------------------
PKGBUILD | 654 ++++++++++++++++++------------------
build-against-actual-mkl.patch | 74 ++--
fix-c++17-compat.patch | 22 -
openssl-1.1.patch | 48 +-
test.py | 24 -
6 files changed, 764 insertions(+), 764 deletions(-)
Deleted: 48935.patch
===================================================================
--- 48935.patch 2021-08-26 15:16:31 UTC (rev 1006238)
+++ 48935.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -1,353 +0,0 @@
-From 0f8fde42d09b199d02cf5d9d79fe76ebf1d260ef Mon Sep 17 00:00:00 2001
-From: Ben Greiner <code at bnavigator.de>
-Date: Thu, 6 May 2021 12:13:40 +0200
-Subject: [PATCH 1/7] Fix NumPy 1.20 error with np.prod()
-
-Reference: #47691, https://stackoverflow.com/questions/66373169
----
- tensorflow/python/ops/array_ops.py | 3 ++-
- 1 file changed, 2 insertions(+), 1 deletion(-)
-
-diff --git a/tensorflow/python/ops/array_ops.py b/tensorflow/python/ops/array_ops.py
-index 519f2ef26fcef..d143ee96a2fc9 100644
---- a/tensorflow/python/ops/array_ops.py
-+++ b/tensorflow/python/ops/array_ops.py
-@@ -36,6 +36,7 @@
- from tensorflow.python.framework.constant_op import constant
- from tensorflow.python.ops import gen_array_ops
- from tensorflow.python.ops import gen_math_ops
-+from tensorflow.python.ops import math_ops
- # go/tf-wildcard-import
- # pylint: disable=wildcard-import
- from tensorflow.python.ops.gen_array_ops import *
-@@ -2894,7 +2895,7 @@ def matrix_set_diag(
-
- def _constant_if_small(value, shape, dtype, name):
- try:
-- if np.prod(shape) < 1000:
-+ if math_ops.reduce_prod(shape) < 1000:
- return constant(value, shape=shape, dtype=dtype, name=name)
- except TypeError:
- # Happens when shape is a Tensor, list with Tensor elements, etc.
-
-From 86cbf87703876330b5818b7f170489356d9d2c86 Mon Sep 17 00:00:00 2001
-From: Ben Greiner <code at bnavigator.de>
-Date: Thu, 6 May 2021 12:34:12 +0200
-Subject: [PATCH 2/7] relax upper bounds for NumPy and SciPy in pip installs
-
----
- .../tools/pip_package/setup_with_binary.py | 2 +-
- .../install/install_centos_pip_packages.sh | 6 +++---
- .../ci_build/install/install_pip_packages.sh | 4 ++--
- .../install/install_pip_packages_by_version.sh | 2 +-
- .../install/install_python3.6_pip_packages.sh | 2 +-
- tensorflow/tools/pip_package/setup.py | 2 +-
- 7 files changed, 18 insertions(+), 18 deletions(-)
-
-diff --git a/tensorflow/lite/tools/pip_package/setup_with_binary.py b/tensorflow/lite/tools/pip_package/setup_with_binary.py
-index 6b9fe534bb2b1..ae06df8245521 100644
---- a/tensorflow/lite/tools/pip_package/setup_with_binary.py
-+++ b/tensorflow/lite/tools/pip_package/setup_with_binary.py
-@@ -67,5 +67,5 @@
- package_dir={'': '.'},
- package_data={'': ['*.so', '*.pyd']},
- install_requires=[
-- 'numpy ~= 1.19.2', # Higher versions have a compatibility issue.
-+ 'numpy >= 1.19.2 , <1.21',
- ])
-diff --git a/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh b/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh
-index b9906b9378c79..ab0a766bf22b0 100755
---- a/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh
-+++ b/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh
-@@ -55,17 +55,17 @@ pip2 install --upgrade protobuf==3.6.1
- pip3 install --upgrade protobuf==3.16.0
-
- pip2 install --upgrade numpy==1.14.5
--pip3 install --upgrade numpy~=1.19.2
-+pip3 install --upgrade numpy>=1.19.2
-
- pip2 install scipy==1.2.2
--pip3 install scipy==1.4.1
-+pip3 install scipy>=1.4.1
-
- pip2 install scikit-learn==0.18.1
- pip3 install scikit-learn==0.18.1
-
- # pandas required by `inflow`
- pip2 install pandas==0.19.2
--pip3 install pandas==0.19.2
-+pip3 install pandas>=0.19.2
-
- # Benchmark tests require the following:
- pip2 install psutil
-diff --git a/tensorflow/tools/ci_build/install/install_pip_packages.sh b/tensorflow/tools/ci_build/install/install_pip_packages.sh
-index f9aa818c57038..6f0bf612e51ec 100755
---- a/tensorflow/tools/ci_build/install/install_pip_packages.sh
-+++ b/tensorflow/tools/ci_build/install/install_pip_packages.sh
-@@ -60,9 +60,9 @@ rm -rf /usr/lib/python3/dist-packages/six*
- # https://github.com/tensorflow/tensorflow/issues/6968
- # This workaround isn't needed for Ubuntu 16.04 or later.
- if $(cat /etc/*-release | grep -q 14.04); then
-- pip3 install --upgrade numpy==1.14.5
-+ pip3 install --upgrade numpy>=1.14.5
- else
-- pip3 install --upgrade numpy~=1.19.2
-+ pip3 install --upgrade numpy>=1.19.2
- fi
-
- pip3 install scipy==1.4.1
-diff --git a/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh b/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh
-index 110928f3b3de5..b536bf20b8992 100755
---- a/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh
-+++ b/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh
-@@ -29,7 +29,7 @@ PACKAGES=(
- # NOTE: As numpy has releases that break semver guarantees and several other
- # deps depend on numpy without an upper bound, we must install numpy before
- # everything else.
-- "numpy~=1.19.2"
-+ "numpy>=1.19.2,<1.21"
- "auditwheel"
- "wheel"
- "setuptools"
-diff --git a/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh b/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh
-index 761973deb28cb..3b49679031c29 100755
---- a/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh
-+++ b/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh
-@@ -72,7 +72,7 @@ rm -rf /usr/lib/python3/dist-packages/six*
- # numpy needs to be installed from source to fix segfaults. See:
- # https://github.com/tensorflow/tensorflow/issues/6968
- # This workaround isn't needed for Ubuntu 16.04 or later.
--pip3 install --upgrade numpy~=1.19.2
-+pip3 install --upgrade numpy>=1.19.2
-
- pip3 install scipy==1.4.1
-
-diff --git a/tensorflow/tools/pip_package/setup.py b/tensorflow/tools/pip_package/setup.py
-index 5fe345ed7ed9f..453c930700139 100644
---- a/tensorflow/tools/pip_package/setup.py
-+++ b/tensorflow/tools/pip_package/setup.py
-@@ -78,7 +78,7 @@
- # NOTE: As numpy has releases that break semver guarantees and several other
- # deps depend on numpy without an upper bound, we must install numpy before
- # everything else.
-- 'numpy ~= 1.19.2',
-+ 'numpy >= 1.19.2, < 1.21',
- # Install other dependencies
- 'absl-py ~= 0.10',
- 'astunparse ~= 1.6.3',
-
-From 7d2b0cff4e4df1b2b706daaa003f274777b85aa4 Mon Sep 17 00:00:00 2001
-From: Ben Greiner <code at bnavigator.de>
-Date: Thu, 6 May 2021 12:38:22 +0200
-Subject: [PATCH 3/7] relax upper numpy bound in dockerfiles
-
----
- .../dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile | 2 +-
- .../dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile | 2 +-
- .../tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile | 2 +-
- tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile | 2 +-
- .../tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile | 2 +-
- tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile | 2 +-
- .../dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile | 2 +-
- .../dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile | 2 +-
- .../dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile | 2 +-
- .../dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile | 2 +-
- .../tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile | 2 +-
- .../partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile | 2 +-
- .../dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile | 2 +-
- 13 files changed, 13 insertions(+), 13 deletions(-)
-
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile
-index e8a5026d7eddc..5fcca1b4a0d58 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile
-@@ -88,7 +88,7 @@ RUN python3 -m pip --no-cache-dir install \
- h5py \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile
-index 5efeed2796c5c..381b4084f3e0a 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile
-@@ -88,7 +88,7 @@ RUN python3 -m pip --no-cache-dir install \
- h5py \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile
-index 88c941704aee6..d9062086b184a 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile
-@@ -84,7 +84,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile
-index 618d3d211d9df..2d310dec012cf 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile
-@@ -84,7 +84,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile
-index 4be850f5fae3b..6c100cc9d8e05 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile
-@@ -125,7 +125,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile
-index feba442ec1c26..a8e9b8d9088fb 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile
-@@ -125,7 +125,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile
-index 129f983eb319e..a1a5cfbc03040 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile
-@@ -83,7 +83,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile
-index aa2b9f88702e2..118de55a138de 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile
-@@ -83,7 +83,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile
-index 0f6a9ae5e5e27..4f94ba1edb119 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile
-@@ -124,7 +124,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile
-index 7086a0cd5d6d7..0eefc0737d5a8 100644
---- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile
-@@ -124,7 +124,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile b/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile
-index ac3d23c3747e8..620660f0b28a4 100644
---- a/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile
-@@ -14,7 +14,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile
-index 969445c627465..87497f60ae3f9 100644
---- a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile
-@@ -18,7 +18,7 @@ RUN python3 -m pip --no-cache-dir install \
- h5py \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-diff --git a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile
-index 0cf475d9deb13..22d2104db7a28 100644
---- a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile
-+++ b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile
-@@ -13,7 +13,7 @@ RUN python3 -m pip --no-cache-dir install \
- keras_preprocessing \
- matplotlib \
- mock \
-- 'numpy<1.19.0' \
-+ 'numpy<1.21' \
- scipy \
- sklearn \
- pandas \
-
-From 444840954cab9fda8be108e83af74d6a79e395b9 Mon Sep 17 00:00:00 2001
-From: Ben Greiner <code at bnavigator.de>
-Date: Thu, 17 Jun 2021 11:44:08 +0200
-Subject: [PATCH 7/7] shape must be integer tuple
-
----
- tensorflow/python/eager/function_test.py | 4 ++--
- 1 file changed, 2 insertions(+), 2 deletions(-)
-
-diff --git a/tensorflow/python/eager/function_test.py b/tensorflow/python/eager/function_test.py
-index ccf3f117e3970..69985f6557c17 100644
---- a/tensorflow/python/eager/function_test.py
-+++ b/tensorflow/python/eager/function_test.py
-@@ -279,8 +279,8 @@ def testImplementsAttributeAssertsOnSideInput(self):
- z = array_ops.zeros(0)
- v = def_function.function(
- experimental_implements='func')(lambda x, y: x + y + z)
-- a = array_ops.ones((1.0,))
-- b = array_ops.ones((1.0,))
-+ a = array_ops.ones((1,))
-+ b = array_ops.ones((1,))
- with self.assertRaisesRegex(AssertionError,
- 'variables are always captured'):
- v(a, b)
Copied: tensorflow/repos/community-x86_64/48935.patch (from rev 1006238, tensorflow/trunk/48935.patch)
===================================================================
--- 48935.patch (rev 0)
+++ 48935.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -0,0 +1,353 @@
+From 0f8fde42d09b199d02cf5d9d79fe76ebf1d260ef Mon Sep 17 00:00:00 2001
+From: Ben Greiner <code at bnavigator.de>
+Date: Thu, 6 May 2021 12:13:40 +0200
+Subject: [PATCH 1/7] Fix NumPy 1.20 error with np.prod()
+
+Reference: #47691, https://stackoverflow.com/questions/66373169
+---
+ tensorflow/python/ops/array_ops.py | 3 ++-
+ 1 file changed, 2 insertions(+), 1 deletion(-)
+
+diff --git a/tensorflow/python/ops/array_ops.py b/tensorflow/python/ops/array_ops.py
+index 519f2ef26fcef..d143ee96a2fc9 100644
+--- a/tensorflow/python/ops/array_ops.py
++++ b/tensorflow/python/ops/array_ops.py
+@@ -36,6 +36,7 @@
+ from tensorflow.python.framework.constant_op import constant
+ from tensorflow.python.ops import gen_array_ops
+ from tensorflow.python.ops import gen_math_ops
++from tensorflow.python.ops import math_ops
+ # go/tf-wildcard-import
+ # pylint: disable=wildcard-import
+ from tensorflow.python.ops.gen_array_ops import *
+@@ -2894,7 +2895,7 @@ def matrix_set_diag(
+
+ def _constant_if_small(value, shape, dtype, name):
+ try:
+- if np.prod(shape) < 1000:
++ if math_ops.reduce_prod(shape) < 1000:
+ return constant(value, shape=shape, dtype=dtype, name=name)
+ except TypeError:
+ # Happens when shape is a Tensor, list with Tensor elements, etc.
+
+From 86cbf87703876330b5818b7f170489356d9d2c86 Mon Sep 17 00:00:00 2001
+From: Ben Greiner <code at bnavigator.de>
+Date: Thu, 6 May 2021 12:34:12 +0200
+Subject: [PATCH 2/7] relax upper bounds for NumPy and SciPy in pip installs
+
+---
+ .../tools/pip_package/setup_with_binary.py | 2 +-
+ .../install/install_centos_pip_packages.sh | 6 +++---
+ .../ci_build/install/install_pip_packages.sh | 4 ++--
+ .../install/install_pip_packages_by_version.sh | 2 +-
+ .../install/install_python3.6_pip_packages.sh | 2 +-
+ tensorflow/tools/pip_package/setup.py | 2 +-
+ 7 files changed, 18 insertions(+), 18 deletions(-)
+
+diff --git a/tensorflow/lite/tools/pip_package/setup_with_binary.py b/tensorflow/lite/tools/pip_package/setup_with_binary.py
+index 6b9fe534bb2b1..ae06df8245521 100644
+--- a/tensorflow/lite/tools/pip_package/setup_with_binary.py
++++ b/tensorflow/lite/tools/pip_package/setup_with_binary.py
+@@ -67,5 +67,5 @@
+ package_dir={'': '.'},
+ package_data={'': ['*.so', '*.pyd']},
+ install_requires=[
+- 'numpy ~= 1.19.2', # Higher versions have a compatibility issue.
++ 'numpy >= 1.19.2 , <1.21',
+ ])
+diff --git a/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh b/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh
+index b9906b9378c79..ab0a766bf22b0 100755
+--- a/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh
++++ b/tensorflow/tools/ci_build/install/install_centos_pip_packages.sh
+@@ -55,17 +55,17 @@ pip2 install --upgrade protobuf==3.6.1
+ pip3 install --upgrade protobuf==3.16.0
+
+ pip2 install --upgrade numpy==1.14.5
+-pip3 install --upgrade numpy~=1.19.2
++pip3 install --upgrade numpy>=1.19.2
+
+ pip2 install scipy==1.2.2
+-pip3 install scipy==1.4.1
++pip3 install scipy>=1.4.1
+
+ pip2 install scikit-learn==0.18.1
+ pip3 install scikit-learn==0.18.1
+
+ # pandas required by `inflow`
+ pip2 install pandas==0.19.2
+-pip3 install pandas==0.19.2
++pip3 install pandas>=0.19.2
+
+ # Benchmark tests require the following:
+ pip2 install psutil
+diff --git a/tensorflow/tools/ci_build/install/install_pip_packages.sh b/tensorflow/tools/ci_build/install/install_pip_packages.sh
+index f9aa818c57038..6f0bf612e51ec 100755
+--- a/tensorflow/tools/ci_build/install/install_pip_packages.sh
++++ b/tensorflow/tools/ci_build/install/install_pip_packages.sh
+@@ -60,9 +60,9 @@ rm -rf /usr/lib/python3/dist-packages/six*
+ # https://github.com/tensorflow/tensorflow/issues/6968
+ # This workaround isn't needed for Ubuntu 16.04 or later.
+ if $(cat /etc/*-release | grep -q 14.04); then
+- pip3 install --upgrade numpy==1.14.5
++ pip3 install --upgrade numpy>=1.14.5
+ else
+- pip3 install --upgrade numpy~=1.19.2
++ pip3 install --upgrade numpy>=1.19.2
+ fi
+
+ pip3 install scipy==1.4.1
+diff --git a/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh b/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh
+index 110928f3b3de5..b536bf20b8992 100755
+--- a/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh
++++ b/tensorflow/tools/ci_build/install/install_pip_packages_by_version.sh
+@@ -29,7 +29,7 @@ PACKAGES=(
+ # NOTE: As numpy has releases that break semver guarantees and several other
+ # deps depend on numpy without an upper bound, we must install numpy before
+ # everything else.
+- "numpy~=1.19.2"
++ "numpy>=1.19.2,<1.21"
+ "auditwheel"
+ "wheel"
+ "setuptools"
+diff --git a/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh b/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh
+index 761973deb28cb..3b49679031c29 100755
+--- a/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh
++++ b/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh
+@@ -72,7 +72,7 @@ rm -rf /usr/lib/python3/dist-packages/six*
+ # numpy needs to be installed from source to fix segfaults. See:
+ # https://github.com/tensorflow/tensorflow/issues/6968
+ # This workaround isn't needed for Ubuntu 16.04 or later.
+-pip3 install --upgrade numpy~=1.19.2
++pip3 install --upgrade numpy>=1.19.2
+
+ pip3 install scipy==1.4.1
+
+diff --git a/tensorflow/tools/pip_package/setup.py b/tensorflow/tools/pip_package/setup.py
+index 5fe345ed7ed9f..453c930700139 100644
+--- a/tensorflow/tools/pip_package/setup.py
++++ b/tensorflow/tools/pip_package/setup.py
+@@ -78,7 +78,7 @@
+ # NOTE: As numpy has releases that break semver guarantees and several other
+ # deps depend on numpy without an upper bound, we must install numpy before
+ # everything else.
+- 'numpy ~= 1.19.2',
++ 'numpy >= 1.19.2, < 1.21',
+ # Install other dependencies
+ 'absl-py ~= 0.10',
+ 'astunparse ~= 1.6.3',
+
+From 7d2b0cff4e4df1b2b706daaa003f274777b85aa4 Mon Sep 17 00:00:00 2001
+From: Ben Greiner <code at bnavigator.de>
+Date: Thu, 6 May 2021 12:38:22 +0200
+Subject: [PATCH 3/7] relax upper numpy bound in dockerfiles
+
+---
+ .../dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile | 2 +-
+ .../dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile | 2 +-
+ .../tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile | 2 +-
+ tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile | 2 +-
+ .../tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile | 2 +-
+ tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile | 2 +-
+ .../dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile | 2 +-
+ .../dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile | 2 +-
+ .../dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile | 2 +-
+ .../dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile | 2 +-
+ .../tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile | 2 +-
+ .../partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile | 2 +-
+ .../dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile | 2 +-
+ 13 files changed, 13 insertions(+), 13 deletions(-)
+
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile
+index e8a5026d7eddc..5fcca1b4a0d58 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8-jupyter.Dockerfile
+@@ -88,7 +88,7 @@ RUN python3 -m pip --no-cache-dir install \
+ h5py \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile
+index 5efeed2796c5c..381b4084f3e0a 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/arm64v8/devel-cpu-arm64v8.Dockerfile
+@@ -88,7 +88,7 @@ RUN python3 -m pip --no-cache-dir install \
+ h5py \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile
+index 88c941704aee6..d9062086b184a 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu-jupyter.Dockerfile
+@@ -84,7 +84,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile
+index 618d3d211d9df..2d310dec012cf 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile
+@@ -84,7 +84,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile
+index 4be850f5fae3b..6c100cc9d8e05 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu-jupyter.Dockerfile
+@@ -125,7 +125,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile
+index feba442ec1c26..a8e9b8d9088fb 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile
+@@ -125,7 +125,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile
+index 129f983eb319e..a1a5cfbc03040 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le-jupyter.Dockerfile
+@@ -83,7 +83,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile
+index aa2b9f88702e2..118de55a138de 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-cpu-ppc64le.Dockerfile
+@@ -83,7 +83,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile
+index 0f6a9ae5e5e27..4f94ba1edb119 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le-jupyter.Dockerfile
+@@ -124,7 +124,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile
+index 7086a0cd5d6d7..0eefc0737d5a8 100644
+--- a/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile
++++ b/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/devel-gpu-ppc64le.Dockerfile
+@@ -124,7 +124,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile b/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile
+index ac3d23c3747e8..620660f0b28a4 100644
+--- a/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile
++++ b/tensorflow/tools/dockerfiles/partials/ubuntu/bazel.partial.Dockerfile
+@@ -14,7 +14,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile
+index 969445c627465..87497f60ae3f9 100644
+--- a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile
++++ b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild-arm64v8.partial.Dockerfile
+@@ -18,7 +18,7 @@ RUN python3 -m pip --no-cache-dir install \
+ h5py \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+diff --git a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile
+index 0cf475d9deb13..22d2104db7a28 100644
+--- a/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile
++++ b/tensorflow/tools/dockerfiles/partials/ubuntu/bazelbuild.partial.Dockerfile
+@@ -13,7 +13,7 @@ RUN python3 -m pip --no-cache-dir install \
+ keras_preprocessing \
+ matplotlib \
+ mock \
+- 'numpy<1.19.0' \
++ 'numpy<1.21' \
+ scipy \
+ sklearn \
+ pandas \
+
+From 444840954cab9fda8be108e83af74d6a79e395b9 Mon Sep 17 00:00:00 2001
+From: Ben Greiner <code at bnavigator.de>
+Date: Thu, 17 Jun 2021 11:44:08 +0200
+Subject: [PATCH 7/7] shape must be integer tuple
+
+---
+ tensorflow/python/eager/function_test.py | 4 ++--
+ 1 file changed, 2 insertions(+), 2 deletions(-)
+
+diff --git a/tensorflow/python/eager/function_test.py b/tensorflow/python/eager/function_test.py
+index ccf3f117e3970..69985f6557c17 100644
+--- a/tensorflow/python/eager/function_test.py
++++ b/tensorflow/python/eager/function_test.py
+@@ -279,8 +279,8 @@ def testImplementsAttributeAssertsOnSideInput(self):
+ z = array_ops.zeros(0)
+ v = def_function.function(
+ experimental_implements='func')(lambda x, y: x + y + z)
+- a = array_ops.ones((1.0,))
+- b = array_ops.ones((1.0,))
++ a = array_ops.ones((1,))
++ b = array_ops.ones((1,))
+ with self.assertRaisesRegex(AssertionError,
+ 'variables are always captured'):
+ v(a, b)
Deleted: PKGBUILD
===================================================================
--- PKGBUILD 2021-08-26 15:16:31 UTC (rev 1006238)
+++ PKGBUILD 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -1,327 +0,0 @@
-# Maintainer: Sven-Hendrik Haase <svenstaro at gmail.com>
-# Maintainer: Konstantin Gizdov (kgizdov) <arch at kge.pw>
-# Contributor: Adria Arrufat (archdria) <adria.arrufat+AUR at protonmail.ch>
-# Contributor: Thibault Lorrain (fredszaq) <fredszaq at gmail.com>
-
-pkgbase=tensorflow
-pkgname=(tensorflow tensorflow-opt tensorflow-cuda tensorflow-opt-cuda python-tensorflow python-tensorflow-opt python-tensorflow-cuda python-tensorflow-opt-cuda)
-pkgver=2.6.0
-_pkgver=2.6.0
-pkgrel=2
-pkgdesc="Library for computation using data flow graphs for scalable machine learning"
-url="https://www.tensorflow.org/"
-license=('APACHE')
-arch=('x86_64')
-depends=('c-ares' 'intel-mkl' 'onednn' 'pybind11' 'openssl' 'lmdb' 'libpng' 'curl' 'giflib' 'icu' 'libjpeg-turbo')
-makedepends=('bazel' 'python-numpy' 'cuda' 'nvidia-utils' 'nccl' 'git'
- 'cudnn' 'python-pip' 'python-wheel' 'python-setuptools' 'python-h5py'
- 'python-keras-applications' 'python-keras-preprocessing'
- 'cython')
-optdepends=('tensorboard: Tensorflow visualization toolkit')
-source=("$pkgname-$pkgver.tar.gz::https://github.com/tensorflow/tensorflow/archive/v${_pkgver}.tar.gz"
- 48935.patch
- fix-c++17-compat.patch
- build-against-actual-mkl.patch
- openssl-1.1.patch)
-sha512sums=('d052da4b324f1b5ac9c904ac3cca270cefbf916be6e5968a6835ef3f8ea8c703a0b90be577ac5205edf248e8e6c7ee8817b6a1b383018bb77c381717c6205e05'
- '8a0fb7e728b144656503ee54b3c90483c619adf17b2081dceb2bd6bcd1435dd64afba97526d94114d4c10fc002d2d213ae6717ad407285b18e438b05fc1ed2ad'
- 'f682368bb47b2b022a51aa77345dfa30f3b0d7911c56515d428b8326ee3751242f375f4e715a37bb723ef20a86916dad9871c3c81b1b58da85e1ca202bc4901e'
- 'e51e3f3dced121db3a09fbdaefd33555536095584b72a5eb6f302fa6fa68ab56ea45e8a847ec90ff4ba076db312c06f91ff672e08e95263c658526582494ce08'
- 'cb15e7331f62d6e77e1099055430cd026e5788f0cab202fbfad8e27c47fca9ad5e1467249683dcdaab8c76cab4dece016f8ecd0f0793adb256ff6d975f893125')
-
-# consolidate common dependencies to prevent mishaps
-_common_py_depends=(python-termcolor python-astor python-gast03 python-numpy python-protobuf absl-py python-h5py python-keras-applications python-keras-preprocessing python-tensorflow-estimator python-opt_einsum python-astunparse python-pasta python-flatbuffers)
-
-get_pyver () {
- python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
-}
-
-check_dir() {
- # first make sure we do not break parsepkgbuild
- if ! command -v cp &> /dev/null; then
- >&2 echo "'cp' command not found. PKGBUILD is probably being checked by parsepkgbuild."
- if ! command -v install &> /dev/null; then
- >&2 echo "'install' command also not found. PKGBUILD must be getting checked by parsepkgbuild."
- >&2 echo "Cannot check if directory '${1}' exists. Ignoring."
- >&2 echo "If you are not running nacmap or parsepkgbuild, please make sure the PATH is correct and try again."
- >&2 echo "PATH should not be '/dummy': PATH=$PATH"
- return 0
- fi
- fi
- # if we are running normally, check the given path
- if [ -d "${1}" ]; then
- return 0
- else
- >&2 echo Directory "${1}" does not exist or is a file! Exiting...
- exit 1
- fi
-}
-
-prepare() {
- # Allow any bazel version
- echo "*" > tensorflow-${_pkgver}/.bazelversion
-
- # Tensorflow actually wants to build against a slimmed down version of Intel MKL called MKLML
- # See https://github.com/intel/mkl-dnn/issues/102
- # MKLML version that Tensorflow wants to use is https://github.com/intel/mkl-dnn/releases/tag/v0.21
- # patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/build-against-actual-mkl.patch
-
- # https://github.com/tensorflow/tensorflow/pull/48935/files
- patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/48935.patch
-
- # https://bugs.archlinux.org/task/71597
- patch -p1 -d tensorflow-${_pkgver} -i "$srcdir"/openssl-1.1.patch
-
- # Get rid of hardcoded versions. Not like we ever cared about what upstream
- # thinks about which versions should be used anyway. ;) (FS#68772)
- sed -i -E "s/'([0-9a-z_-]+) .= [0-9].+[0-9]'/'\1'/" tensorflow-${_pkgver}/tensorflow/tools/pip_package/setup.py
-
- cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt
- cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-cuda
- cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt-cuda
-
- # These environment variables influence the behavior of the configure call below.
- export PYTHON_BIN_PATH=/usr/bin/python
- export USE_DEFAULT_PYTHON_LIB_PATH=1
- export TF_NEED_JEMALLOC=1
- export TF_NEED_KAFKA=1
- export TF_NEED_OPENCL_SYCL=0
- export TF_NEED_AWS=1
- export TF_NEED_GCP=1
- export TF_NEED_HDFS=1
- export TF_NEED_S3=1
- export TF_ENABLE_XLA=1
- export TF_NEED_GDR=0
- export TF_NEED_VERBS=0
- export TF_NEED_OPENCL=0
- export TF_NEED_MPI=0
- export TF_NEED_TENSORRT=0
- export TF_NEED_NGRAPH=0
- export TF_NEED_IGNITE=0
- export TF_NEED_ROCM=0
- # See https://github.com/tensorflow/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl
- export TF_SYSTEM_LIBS="boringssl,curl,cython,gif,icu,libjpeg_turbo,lmdb,nasm,png,pybind11,zlib"
- export TF_SET_ANDROID_WORKSPACE=0
- export TF_DOWNLOAD_CLANG=0
- export TF_NCCL_VERSION=$(pkg-config nccl --modversion | grep -Po '\d+\.\d+')
- export TF_IGNORE_MAX_BAZEL_VERSION=1
- export TF_MKL_ROOT=/opt/intel/mkl
- export NCCL_INSTALL_PATH=/usr
- export GCC_HOST_COMPILER_PATH=/usr/bin/gcc
- export HOST_C_COMPILER=/usr/bin/gcc
- export HOST_CXX_COMPILER=/usr/bin/g++
- export TF_CUDA_CLANG=0 # Clang currently disabled because it's not compatible at the moment.
- export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
- export TF_CUDA_PATHS=/opt/cuda,/usr/lib,/usr
- export TF_CUDA_VERSION=$(/opt/cuda/bin/nvcc --version | sed -n 's/^.*release \(.*\),.*/\1/p')
- export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' /usr/include/cudnn_version.h)
- # https://github.com/tensorflow/tensorflow/blob/1ba2eb7b313c0c5001ee1683a3ec4fbae01105fd/third_party/gpus/cuda_configure.bzl#L411-L446
- # according to the above, we should be specifying CUDA compute capabilities as 'sm_XX' or 'compute_XX' from now on
- # add latest PTX for future compatibility
- export TF_CUDA_COMPUTE_CAPABILITIES=sm_52,sm_53,sm_60,sm_61,sm_62,sm_70,sm_72,sm_75,sm_80,sm_86,compute_86
-
- export CC=gcc
- export CXX=g++
-
- export BAZEL_ARGS="--config=mkl -c opt"
-}
-
-build() {
- echo "Building without cuda and without non-x87-64 optimizations"
- cd "${srcdir}"/tensorflow-${_pkgver}
- export CC_OPT_FLAGS="-march=x86-64"
- export TF_NEED_CUDA=0
- ./configure
- bazel \
- build ${BAZEL_ARGS[@]} \
- //tensorflow:libtensorflow.so \
- //tensorflow:libtensorflow_cc.so \
- //tensorflow:install_headers \
- //tensorflow/tools/pip_package:build_pip_package
- bazel-bin/tensorflow/tools/pip_package/build_pip_package "${srcdir}"/tmp
-
-
- echo "Building without cuda and with non-x86-64 optimizations"
- cd "${srcdir}"/tensorflow-${_pkgver}-opt
- export CC_OPT_FLAGS="-march=haswell -O3"
- export TF_NEED_CUDA=0
- ./configure
- bazel \
- build --config=avx2_linux \
- ${BAZEL_ARGS[@]} \
- //tensorflow:libtensorflow.so \
- //tensorflow:libtensorflow_cc.so \
- //tensorflow:install_headers \
- //tensorflow/tools/pip_package:build_pip_package
- bazel-bin/tensorflow/tools/pip_package/build_pip_package "${srcdir}"/tmpopt
-
-
- echo "Building with cuda and without non-x86-64 optimizations"
- cd "${srcdir}"/tensorflow-${_pkgver}-cuda
- export CC_OPT_FLAGS="-march=x86-64"
- export TF_NEED_CUDA=1
- ./configure
- bazel \
- build \
- ${BAZEL_ARGS[@]} \
- //tensorflow:libtensorflow.so \
- //tensorflow:libtensorflow_cc.so \
- //tensorflow:install_headers \
- //tensorflow/tools/pip_package:build_pip_package
- bazel-bin/tensorflow/tools/pip_package/build_pip_package --gpu "${srcdir}"/tmpcuda
-
-
- echo "Building with cuda and with non-x86-64 optimizations"
- cd "${srcdir}"/tensorflow-${_pkgver}-opt-cuda
- export CC_OPT_FLAGS="-march=haswell -O3"
- export TF_NEED_CUDA=1
- ./configure
- bazel \
- build --config=avx2_linux \
- ${BAZEL_ARGS[@]} \
- //tensorflow:libtensorflow.so \
- //tensorflow:libtensorflow_cc.so \
- //tensorflow:install_headers \
- //tensorflow/tools/pip_package:build_pip_package
- bazel-bin/tensorflow/tools/pip_package/build_pip_package --gpu "${srcdir}"/tmpoptcuda
-}
-
-_package() {
- # install headers first
- install -d "${pkgdir}"/usr/include/tensorflow
- cp -r bazel-bin/tensorflow/include/* "${pkgdir}"/usr/include/tensorflow/
- # install python-version to get all extra headers
- WHEEL_PACKAGE=$(find "${srcdir}"/$1 -name "tensor*.whl")
- pip install --ignore-installed --upgrade --root "${pkgdir}"/ $WHEEL_PACKAGE --no-dependencies
- # move extra headers to correct location
- local _srch_path="${pkgdir}/usr/lib/python$(get_pyver)"/site-packages/tensorflow/include
- check_dir "${_srch_path}" # we need to quit on broken search paths
- find "${_srch_path}" -maxdepth 1 -mindepth 1 -type d -print0 | while read -rd $'\0' _folder; do
- cp -nr "${_folder}" "${pkgdir}"/usr/include/tensorflow/
- done
- # clean up unneeded files
- rm -rf "${pkgdir}"/usr/bin
- rm -rf "${pkgdir}"/usr/lib
- rm -rf "${pkgdir}"/usr/share
- # make sure no lib objects are outside valid paths
- local _so_srch_path="${pkgdir}/usr/include"
- check_dir "${_so_srch_path}" # we need to quit on broken search paths
- find "${_so_srch_path}" -type f,l \( -iname "*.so" -or -iname "*.so.*" \) -print0 | while read -rd $'\0' _so_file; do
- # check if file is a dynamic executable
- ldd "${_so_file}" &>/dev/null && rm -rf "${_so_file}"
- done
-
- # install the rest of tensorflow
- tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
- sed -e 's@/include$@/include/tensorflow@' -i tensorflow.pc -i tensorflow_cc.pc
- install -Dm644 tensorflow.pc "${pkgdir}"/usr/lib/pkgconfig/tensorflow.pc
- install -Dm644 tensorflow_cc.pc "${pkgdir}"/usr/lib/pkgconfig/tensorflow_cc.pc
- install -Dm755 bazel-bin/tensorflow/libtensorflow.so "${pkgdir}"/usr/lib/libtensorflow.so.${pkgver}
- ln -s libtensorflow.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow.so.${pkgver:0:1}
- ln -s libtensorflow.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow.so
- install -Dm755 bazel-bin/tensorflow/libtensorflow_cc.so "${pkgdir}"/usr/lib/libtensorflow_cc.so.${pkgver}
- ln -s libtensorflow_cc.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow_cc.so.${pkgver:0:1}
- ln -s libtensorflow_cc.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow_cc.so
- install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so "${pkgdir}"/usr/lib/libtensorflow_framework.so.${pkgver}
- ln -s libtensorflow_framework.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow_framework.so.${pkgver:0:1}
- ln -s libtensorflow_framework.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow_framework.so
- install -Dm644 tensorflow/c/c_api.h "${pkgdir}"/usr/include/tensorflow/tensorflow/c/c_api.h
- install -Dm644 LICENSE "${pkgdir}"/usr/share/licenses/${pkgname}/LICENSE
-
- # Fix interoperability of C++14 and C++17. See https://bugs.archlinux.org/task/65953
- patch -Np0 -i "${srcdir}"/fix-c++17-compat.patch -d "${pkgdir}"/usr/include/tensorflow/absl/base
-}
-
-_python_package() {
- WHEEL_PACKAGE=$(find "${srcdir}"/$1 -name "tensor*.whl")
- pip install --ignore-installed --upgrade --root "${pkgdir}"/ $WHEEL_PACKAGE --no-dependencies
-
- # create symlinks to headers
- local _srch_path="${pkgdir}/usr/lib/python$(get_pyver)"/site-packages/tensorflow/include/
- check_dir "${_srch_path}" # we need to quit on broken search paths
- find "${_srch_path}" -maxdepth 1 -mindepth 1 -type d -print0 | while read -rd $'\0' _folder; do
- rm -rf "${_folder}"
- _smlink="$(basename "${_folder}")"
- ln -s /usr/include/tensorflow/"${_smlink}" "${_srch_path}"
- done
-
- # tensorboard has been separated from upstream but they still install it with
- # tensorflow. I don't know what kind of sense that makes but we have to clean
- # it out from this pacakge.
- rm -rf "${pkgdir}"/usr/bin/tensorboard
-
- install -Dm644 LICENSE "${pkgdir}"/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_tensorflow() {
- cd "${srcdir}"/tensorflow-${_pkgver}
- _package tmp
-}
-
-package_tensorflow-opt() {
- pkgdesc="Library for computation using data flow graphs for scalable machine learning (with AVX2 CPU optimizations)"
- conflicts=(tensorflow)
- provides=(tensorflow)
-
- cd "${srcdir}"/tensorflow-${_pkgver}-opt
- _package tmpopt
-}
-
-package_tensorflow-cuda() {
- pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA)"
- depends+=(cuda cudnn nccl)
- conflicts=(tensorflow)
- provides=(tensorflow)
-
- cd "${srcdir}"/tensorflow-${_pkgver}-cuda
- _package tmpcuda
-}
-
-package_tensorflow-opt-cuda() {
- pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA and AVX2 CPU optimizations)"
- depends+=(cuda cudnn nccl)
- conflicts=(tensorflow)
- provides=(tensorflow tensorflow-cuda)
-
- cd "${srcdir}"/tensorflow-${_pkgver}-opt-cuda
- _package tmpoptcuda
-}
-
-package_python-tensorflow() {
- depends+=(tensorflow "${_common_py_depends[@]}")
-
- cd "${srcdir}"/tensorflow-${_pkgver}
- _python_package tmp
-}
-
-package_python-tensorflow-opt() {
- pkgdesc="Library for computation using data flow graphs for scalable machine learning (with AVX2 CPU optimizations)"
- depends+=(tensorflow-opt "${_common_py_depends[@]}")
- conflicts=(python-tensorflow)
- provides=(python-tensorflow)
-
- cd "${srcdir}"/tensorflow-${_pkgver}-opt
- _python_package tmpopt
-}
-
-package_python-tensorflow-cuda() {
- pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA)"
- depends+=(tensorflow-cuda cuda cudnn nccl python-pycuda "${_common_py_depends[@]}")
- conflicts=(python-tensorflow)
- provides=(python-tensorflow)
-
- cd "${srcdir}"/tensorflow-${_pkgver}-cuda
- _python_package tmpcuda
-}
-
-package_python-tensorflow-opt-cuda() {
- pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA and AVX2 CPU optimizations)"
- depends+=(tensorflow-opt-cuda cuda cudnn nccl python-pycuda "${_common_py_depends[@]}")
- conflicts=(python-tensorflow)
- provides=(python-tensorflow python-tensorflow-cuda)
-
- cd "${srcdir}"/tensorflow-${_pkgver}-opt-cuda
- _python_package tmpoptcuda
-}
-
-# vim:set ts=2 sw=2 et:
Copied: tensorflow/repos/community-x86_64/PKGBUILD (from rev 1006238, tensorflow/trunk/PKGBUILD)
===================================================================
--- PKGBUILD (rev 0)
+++ PKGBUILD 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -0,0 +1,327 @@
+# Maintainer: Sven-Hendrik Haase <svenstaro at gmail.com>
+# Maintainer: Konstantin Gizdov (kgizdov) <arch at kge.pw>
+# Contributor: Adria Arrufat (archdria) <adria.arrufat+AUR at protonmail.ch>
+# Contributor: Thibault Lorrain (fredszaq) <fredszaq at gmail.com>
+
+pkgbase=tensorflow
+pkgname=(tensorflow tensorflow-opt tensorflow-cuda tensorflow-opt-cuda python-tensorflow python-tensorflow-opt python-tensorflow-cuda python-tensorflow-opt-cuda)
+pkgver=2.6.0
+_pkgver=2.6.0
+pkgrel=3
+pkgdesc="Library for computation using data flow graphs for scalable machine learning"
+url="https://www.tensorflow.org/"
+license=('APACHE')
+arch=('x86_64')
+depends=('c-ares' 'intel-mkl' 'onednn' 'pybind11' 'openssl' 'lmdb' 'libpng' 'curl' 'giflib' 'icu' 'libjpeg-turbo')
+makedepends=('bazel' 'python-numpy' 'cuda' 'nvidia-utils' 'nccl' 'git'
+ 'cudnn' 'python-pip' 'python-wheel' 'python-setuptools' 'python-h5py'
+ 'python-keras-applications' 'python-keras-preprocessing'
+ 'cython')
+optdepends=('tensorboard: Tensorflow visualization toolkit')
+source=("$pkgname-$pkgver.tar.gz::https://github.com/tensorflow/tensorflow/archive/v${_pkgver}.tar.gz"
+ 48935.patch
+ fix-c++17-compat.patch
+ build-against-actual-mkl.patch
+ openssl-1.1.patch)
+sha512sums=('d052da4b324f1b5ac9c904ac3cca270cefbf916be6e5968a6835ef3f8ea8c703a0b90be577ac5205edf248e8e6c7ee8817b6a1b383018bb77c381717c6205e05'
+ '8a0fb7e728b144656503ee54b3c90483c619adf17b2081dceb2bd6bcd1435dd64afba97526d94114d4c10fc002d2d213ae6717ad407285b18e438b05fc1ed2ad'
+ 'f682368bb47b2b022a51aa77345dfa30f3b0d7911c56515d428b8326ee3751242f375f4e715a37bb723ef20a86916dad9871c3c81b1b58da85e1ca202bc4901e'
+ 'e51e3f3dced121db3a09fbdaefd33555536095584b72a5eb6f302fa6fa68ab56ea45e8a847ec90ff4ba076db312c06f91ff672e08e95263c658526582494ce08'
+ 'cb15e7331f62d6e77e1099055430cd026e5788f0cab202fbfad8e27c47fca9ad5e1467249683dcdaab8c76cab4dece016f8ecd0f0793adb256ff6d975f893125')
+
+# consolidate common dependencies to prevent mishaps
+_common_py_depends=(python-termcolor python-astor python-gast03 python-numpy python-protobuf absl-py python-h5py python-keras python-keras-applications python-keras-preprocessing python-tensorflow-estimator python-opt_einsum python-astunparse python-pasta python-flatbuffers)
+
+get_pyver () {
+ python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
+}
+
+check_dir() {
+ # first make sure we do not break parsepkgbuild
+ if ! command -v cp &> /dev/null; then
+ >&2 echo "'cp' command not found. PKGBUILD is probably being checked by parsepkgbuild."
+ if ! command -v install &> /dev/null; then
+ >&2 echo "'install' command also not found. PKGBUILD must be getting checked by parsepkgbuild."
+ >&2 echo "Cannot check if directory '${1}' exists. Ignoring."
+ >&2 echo "If you are not running nacmap or parsepkgbuild, please make sure the PATH is correct and try again."
+ >&2 echo "PATH should not be '/dummy': PATH=$PATH"
+ return 0
+ fi
+ fi
+ # if we are running normally, check the given path
+ if [ -d "${1}" ]; then
+ return 0
+ else
+ >&2 echo Directory "${1}" does not exist or is a file! Exiting...
+ exit 1
+ fi
+}
+
+prepare() {
+ # Allow any bazel version
+ echo "*" > tensorflow-${_pkgver}/.bazelversion
+
+ # Tensorflow actually wants to build against a slimmed down version of Intel MKL called MKLML
+ # See https://github.com/intel/mkl-dnn/issues/102
+ # MKLML version that Tensorflow wants to use is https://github.com/intel/mkl-dnn/releases/tag/v0.21
+ # patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/build-against-actual-mkl.patch
+
+ # https://github.com/tensorflow/tensorflow/pull/48935/files
+ patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/48935.patch
+
+ # https://bugs.archlinux.org/task/71597
+ patch -p1 -d tensorflow-${_pkgver} -i "$srcdir"/openssl-1.1.patch
+
+ # Get rid of hardcoded versions. Not like we ever cared about what upstream
+ # thinks about which versions should be used anyway. ;) (FS#68772)
+ sed -i -E "s/'([0-9a-z_-]+) .= [0-9].+[0-9]'/'\1'/" tensorflow-${_pkgver}/tensorflow/tools/pip_package/setup.py
+
+ cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt
+ cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-cuda
+ cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt-cuda
+
+ # These environment variables influence the behavior of the configure call below.
+ export PYTHON_BIN_PATH=/usr/bin/python
+ export USE_DEFAULT_PYTHON_LIB_PATH=1
+ export TF_NEED_JEMALLOC=1
+ export TF_NEED_KAFKA=1
+ export TF_NEED_OPENCL_SYCL=0
+ export TF_NEED_AWS=1
+ export TF_NEED_GCP=1
+ export TF_NEED_HDFS=1
+ export TF_NEED_S3=1
+ export TF_ENABLE_XLA=1
+ export TF_NEED_GDR=0
+ export TF_NEED_VERBS=0
+ export TF_NEED_OPENCL=0
+ export TF_NEED_MPI=0
+ export TF_NEED_TENSORRT=0
+ export TF_NEED_NGRAPH=0
+ export TF_NEED_IGNITE=0
+ export TF_NEED_ROCM=0
+ # See https://github.com/tensorflow/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl
+ export TF_SYSTEM_LIBS="boringssl,curl,cython,gif,icu,libjpeg_turbo,lmdb,nasm,png,pybind11,zlib"
+ export TF_SET_ANDROID_WORKSPACE=0
+ export TF_DOWNLOAD_CLANG=0
+ export TF_NCCL_VERSION=$(pkg-config nccl --modversion | grep -Po '\d+\.\d+')
+ export TF_IGNORE_MAX_BAZEL_VERSION=1
+ export TF_MKL_ROOT=/opt/intel/mkl
+ export NCCL_INSTALL_PATH=/usr
+ export GCC_HOST_COMPILER_PATH=/usr/bin/gcc
+ export HOST_C_COMPILER=/usr/bin/gcc
+ export HOST_CXX_COMPILER=/usr/bin/g++
+ export TF_CUDA_CLANG=0 # Clang currently disabled because it's not compatible at the moment.
+ export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
+ export TF_CUDA_PATHS=/opt/cuda,/usr/lib,/usr
+ export TF_CUDA_VERSION=$(/opt/cuda/bin/nvcc --version | sed -n 's/^.*release \(.*\),.*/\1/p')
+ export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' /usr/include/cudnn_version.h)
+ # https://github.com/tensorflow/tensorflow/blob/1ba2eb7b313c0c5001ee1683a3ec4fbae01105fd/third_party/gpus/cuda_configure.bzl#L411-L446
+ # according to the above, we should be specifying CUDA compute capabilities as 'sm_XX' or 'compute_XX' from now on
+ # add latest PTX for future compatibility
+ export TF_CUDA_COMPUTE_CAPABILITIES=sm_52,sm_53,sm_60,sm_61,sm_62,sm_70,sm_72,sm_75,sm_80,sm_86,compute_86
+
+ export CC=gcc
+ export CXX=g++
+
+ export BAZEL_ARGS="--config=mkl -c opt"
+}
+
+build() {
+ echo "Building without cuda and without non-x87-64 optimizations"
+ cd "${srcdir}"/tensorflow-${_pkgver}
+ export CC_OPT_FLAGS="-march=x86-64"
+ export TF_NEED_CUDA=0
+ ./configure
+ bazel \
+ build ${BAZEL_ARGS[@]} \
+ //tensorflow:libtensorflow.so \
+ //tensorflow:libtensorflow_cc.so \
+ //tensorflow:install_headers \
+ //tensorflow/tools/pip_package:build_pip_package
+ bazel-bin/tensorflow/tools/pip_package/build_pip_package "${srcdir}"/tmp
+
+
+ echo "Building without cuda and with non-x86-64 optimizations"
+ cd "${srcdir}"/tensorflow-${_pkgver}-opt
+ export CC_OPT_FLAGS="-march=haswell -O3"
+ export TF_NEED_CUDA=0
+ ./configure
+ bazel \
+ build --config=avx2_linux \
+ ${BAZEL_ARGS[@]} \
+ //tensorflow:libtensorflow.so \
+ //tensorflow:libtensorflow_cc.so \
+ //tensorflow:install_headers \
+ //tensorflow/tools/pip_package:build_pip_package
+ bazel-bin/tensorflow/tools/pip_package/build_pip_package "${srcdir}"/tmpopt
+
+
+ echo "Building with cuda and without non-x86-64 optimizations"
+ cd "${srcdir}"/tensorflow-${_pkgver}-cuda
+ export CC_OPT_FLAGS="-march=x86-64"
+ export TF_NEED_CUDA=1
+ ./configure
+ bazel \
+ build \
+ ${BAZEL_ARGS[@]} \
+ //tensorflow:libtensorflow.so \
+ //tensorflow:libtensorflow_cc.so \
+ //tensorflow:install_headers \
+ //tensorflow/tools/pip_package:build_pip_package
+ bazel-bin/tensorflow/tools/pip_package/build_pip_package --gpu "${srcdir}"/tmpcuda
+
+
+ echo "Building with cuda and with non-x86-64 optimizations"
+ cd "${srcdir}"/tensorflow-${_pkgver}-opt-cuda
+ export CC_OPT_FLAGS="-march=haswell -O3"
+ export TF_NEED_CUDA=1
+ ./configure
+ bazel \
+ build --config=avx2_linux \
+ ${BAZEL_ARGS[@]} \
+ //tensorflow:libtensorflow.so \
+ //tensorflow:libtensorflow_cc.so \
+ //tensorflow:install_headers \
+ //tensorflow/tools/pip_package:build_pip_package
+ bazel-bin/tensorflow/tools/pip_package/build_pip_package --gpu "${srcdir}"/tmpoptcuda
+}
+
+_package() {
+ # install headers first
+ install -d "${pkgdir}"/usr/include/tensorflow
+ cp -r bazel-bin/tensorflow/include/* "${pkgdir}"/usr/include/tensorflow/
+ # install python-version to get all extra headers
+ WHEEL_PACKAGE=$(find "${srcdir}"/$1 -name "tensor*.whl")
+ pip install --ignore-installed --upgrade --root "${pkgdir}"/ $WHEEL_PACKAGE --no-dependencies
+ # move extra headers to correct location
+ local _srch_path="${pkgdir}/usr/lib/python$(get_pyver)"/site-packages/tensorflow/include
+ check_dir "${_srch_path}" # we need to quit on broken search paths
+ find "${_srch_path}" -maxdepth 1 -mindepth 1 -type d -print0 | while read -rd $'\0' _folder; do
+ cp -nr "${_folder}" "${pkgdir}"/usr/include/tensorflow/
+ done
+ # clean up unneeded files
+ rm -rf "${pkgdir}"/usr/bin
+ rm -rf "${pkgdir}"/usr/lib
+ rm -rf "${pkgdir}"/usr/share
+ # make sure no lib objects are outside valid paths
+ local _so_srch_path="${pkgdir}/usr/include"
+ check_dir "${_so_srch_path}" # we need to quit on broken search paths
+ find "${_so_srch_path}" -type f,l \( -iname "*.so" -or -iname "*.so.*" \) -print0 | while read -rd $'\0' _so_file; do
+ # check if file is a dynamic executable
+ ldd "${_so_file}" &>/dev/null && rm -rf "${_so_file}"
+ done
+
+ # install the rest of tensorflow
+ tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
+ sed -e 's@/include$@/include/tensorflow@' -i tensorflow.pc -i tensorflow_cc.pc
+ install -Dm644 tensorflow.pc "${pkgdir}"/usr/lib/pkgconfig/tensorflow.pc
+ install -Dm644 tensorflow_cc.pc "${pkgdir}"/usr/lib/pkgconfig/tensorflow_cc.pc
+ install -Dm755 bazel-bin/tensorflow/libtensorflow.so "${pkgdir}"/usr/lib/libtensorflow.so.${pkgver}
+ ln -s libtensorflow.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow.so.${pkgver:0:1}
+ ln -s libtensorflow.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow.so
+ install -Dm755 bazel-bin/tensorflow/libtensorflow_cc.so "${pkgdir}"/usr/lib/libtensorflow_cc.so.${pkgver}
+ ln -s libtensorflow_cc.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow_cc.so.${pkgver:0:1}
+ ln -s libtensorflow_cc.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow_cc.so
+ install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so "${pkgdir}"/usr/lib/libtensorflow_framework.so.${pkgver}
+ ln -s libtensorflow_framework.so.${pkgver} "${pkgdir}"/usr/lib/libtensorflow_framework.so.${pkgver:0:1}
+ ln -s libtensorflow_framework.so.${pkgver:0:1} "${pkgdir}"/usr/lib/libtensorflow_framework.so
+ install -Dm644 tensorflow/c/c_api.h "${pkgdir}"/usr/include/tensorflow/tensorflow/c/c_api.h
+ install -Dm644 LICENSE "${pkgdir}"/usr/share/licenses/${pkgname}/LICENSE
+
+ # Fix interoperability of C++14 and C++17. See https://bugs.archlinux.org/task/65953
+ patch -Np0 -i "${srcdir}"/fix-c++17-compat.patch -d "${pkgdir}"/usr/include/tensorflow/absl/base
+}
+
+_python_package() {
+ WHEEL_PACKAGE=$(find "${srcdir}"/$1 -name "tensor*.whl")
+ pip install --ignore-installed --upgrade --root "${pkgdir}"/ $WHEEL_PACKAGE --no-dependencies
+
+ # create symlinks to headers
+ local _srch_path="${pkgdir}/usr/lib/python$(get_pyver)"/site-packages/tensorflow/include/
+ check_dir "${_srch_path}" # we need to quit on broken search paths
+ find "${_srch_path}" -maxdepth 1 -mindepth 1 -type d -print0 | while read -rd $'\0' _folder; do
+ rm -rf "${_folder}"
+ _smlink="$(basename "${_folder}")"
+ ln -s /usr/include/tensorflow/"${_smlink}" "${_srch_path}"
+ done
+
+ # tensorboard has been separated from upstream but they still install it with
+ # tensorflow. I don't know what kind of sense that makes but we have to clean
+ # it out from this pacakge.
+ rm -rf "${pkgdir}"/usr/bin/tensorboard
+
+ install -Dm644 LICENSE "${pkgdir}"/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_tensorflow() {
+ cd "${srcdir}"/tensorflow-${_pkgver}
+ _package tmp
+}
+
+package_tensorflow-opt() {
+ pkgdesc="Library for computation using data flow graphs for scalable machine learning (with AVX2 CPU optimizations)"
+ conflicts=(tensorflow)
+ provides=(tensorflow)
+
+ cd "${srcdir}"/tensorflow-${_pkgver}-opt
+ _package tmpopt
+}
+
+package_tensorflow-cuda() {
+ pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA)"
+ depends+=(cuda cudnn nccl)
+ conflicts=(tensorflow)
+ provides=(tensorflow)
+
+ cd "${srcdir}"/tensorflow-${_pkgver}-cuda
+ _package tmpcuda
+}
+
+package_tensorflow-opt-cuda() {
+ pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA and AVX2 CPU optimizations)"
+ depends+=(cuda cudnn nccl)
+ conflicts=(tensorflow)
+ provides=(tensorflow tensorflow-cuda)
+
+ cd "${srcdir}"/tensorflow-${_pkgver}-opt-cuda
+ _package tmpoptcuda
+}
+
+package_python-tensorflow() {
+ depends+=(tensorflow "${_common_py_depends[@]}")
+
+ cd "${srcdir}"/tensorflow-${_pkgver}
+ _python_package tmp
+}
+
+package_python-tensorflow-opt() {
+ pkgdesc="Library for computation using data flow graphs for scalable machine learning (with AVX2 CPU optimizations)"
+ depends+=(tensorflow-opt "${_common_py_depends[@]}")
+ conflicts=(python-tensorflow)
+ provides=(python-tensorflow)
+
+ cd "${srcdir}"/tensorflow-${_pkgver}-opt
+ _python_package tmpopt
+}
+
+package_python-tensorflow-cuda() {
+ pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA)"
+ depends+=(tensorflow-cuda cuda cudnn nccl python-pycuda "${_common_py_depends[@]}")
+ conflicts=(python-tensorflow)
+ provides=(python-tensorflow)
+
+ cd "${srcdir}"/tensorflow-${_pkgver}-cuda
+ _python_package tmpcuda
+}
+
+package_python-tensorflow-opt-cuda() {
+ pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA and AVX2 CPU optimizations)"
+ depends+=(tensorflow-opt-cuda cuda cudnn nccl python-pycuda "${_common_py_depends[@]}")
+ conflicts=(python-tensorflow)
+ provides=(python-tensorflow python-tensorflow-cuda)
+
+ cd "${srcdir}"/tensorflow-${_pkgver}-opt-cuda
+ _python_package tmpoptcuda
+}
+
+# vim:set ts=2 sw=2 et:
Deleted: build-against-actual-mkl.patch
===================================================================
--- build-against-actual-mkl.patch 2021-08-26 15:16:31 UTC (rev 1006238)
+++ build-against-actual-mkl.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -1,37 +0,0 @@
-diff --git a/third_party/mkl/build_defs.bzl b/third_party/mkl/build_defs.bzl
-index 4b8fb83eb0..f4e1adfb22 100644
---- a/third_party/mkl/build_defs.bzl
-+++ b/third_party/mkl/build_defs.bzl
-@@ -124,7 +124,7 @@ def _mkl_autoconf_impl(repository_ctx):
- if _enable_local_mkl(repository_ctx):
- # Symlink lib and include local folders.
- mkl_root = repository_ctx.os.environ[_TF_MKL_ROOT]
-- mkl_lib_path = "%s/lib" % mkl_root
-+ mkl_lib_path = "%s/lib/intel64" % mkl_root
- repository_ctx.symlink(mkl_lib_path, "lib")
- mkl_include_path = "%s/include" % mkl_root
- repository_ctx.symlink(mkl_include_path, "include")
-diff --git a/third_party/mkl/mkl.BUILD b/third_party/mkl/mkl.BUILD
-index 72370182c4..4972bb005e 100644
---- a/third_party/mkl/mkl.BUILD
-+++ b/third_party/mkl/mkl.BUILD
-@@ -5,7 +5,6 @@ exports_files(["license.txt"])
- filegroup(
- name = "LICENSE",
- srcs = [
-- "license.txt",
- ],
- visibility = ["//visibility:public"],
- )
-@@ -21,7 +20,10 @@ cc_library(
- name = "mkl_libs_linux",
- srcs = [
- "lib/libiomp5.so",
-- "lib/libmklml_intel.so",
-+ "lib/libmkl_core.so",
-+ "lib/libmkl_rt.so",
-+ "lib/libmkl_intel_thread.so",
-+ "lib/libmkl_intel_lp64.so",
- ],
- visibility = ["//visibility:public"],
- )
Copied: tensorflow/repos/community-x86_64/build-against-actual-mkl.patch (from rev 1006238, tensorflow/trunk/build-against-actual-mkl.patch)
===================================================================
--- build-against-actual-mkl.patch (rev 0)
+++ build-against-actual-mkl.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -0,0 +1,37 @@
+diff --git a/third_party/mkl/build_defs.bzl b/third_party/mkl/build_defs.bzl
+index 4b8fb83eb0..f4e1adfb22 100644
+--- a/third_party/mkl/build_defs.bzl
++++ b/third_party/mkl/build_defs.bzl
+@@ -124,7 +124,7 @@ def _mkl_autoconf_impl(repository_ctx):
+ if _enable_local_mkl(repository_ctx):
+ # Symlink lib and include local folders.
+ mkl_root = repository_ctx.os.environ[_TF_MKL_ROOT]
+- mkl_lib_path = "%s/lib" % mkl_root
++ mkl_lib_path = "%s/lib/intel64" % mkl_root
+ repository_ctx.symlink(mkl_lib_path, "lib")
+ mkl_include_path = "%s/include" % mkl_root
+ repository_ctx.symlink(mkl_include_path, "include")
+diff --git a/third_party/mkl/mkl.BUILD b/third_party/mkl/mkl.BUILD
+index 72370182c4..4972bb005e 100644
+--- a/third_party/mkl/mkl.BUILD
++++ b/third_party/mkl/mkl.BUILD
+@@ -5,7 +5,6 @@ exports_files(["license.txt"])
+ filegroup(
+ name = "LICENSE",
+ srcs = [
+- "license.txt",
+ ],
+ visibility = ["//visibility:public"],
+ )
+@@ -21,7 +20,10 @@ cc_library(
+ name = "mkl_libs_linux",
+ srcs = [
+ "lib/libiomp5.so",
+- "lib/libmklml_intel.so",
++ "lib/libmkl_core.so",
++ "lib/libmkl_rt.so",
++ "lib/libmkl_intel_thread.so",
++ "lib/libmkl_intel_lp64.so",
+ ],
+ visibility = ["//visibility:public"],
+ )
Deleted: fix-c++17-compat.patch
===================================================================
--- fix-c++17-compat.patch 2021-08-26 15:16:31 UTC (rev 1006238)
+++ fix-c++17-compat.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -1,11 +0,0 @@
---- config-old.h 2021-06-13 04:22:15.841839739 +0200
-+++ config.h 2021-06-13 04:22:32.308939638 +0200
-@@ -533,7 +533,7 @@
- #ifdef __has_include
- #if __has_include(<string_view>) && defined(__cplusplus) && \
- __cplusplus >= 201703L
--#define ABSL_HAVE_STD_STRING_VIEW 1
-+// #define ABSL_HAVE_STD_STRING_VIEW 1
- #endif
- #endif
-
Copied: tensorflow/repos/community-x86_64/fix-c++17-compat.patch (from rev 1006238, tensorflow/trunk/fix-c++17-compat.patch)
===================================================================
--- fix-c++17-compat.patch (rev 0)
+++ fix-c++17-compat.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -0,0 +1,11 @@
+--- config-old.h 2021-06-13 04:22:15.841839739 +0200
++++ config.h 2021-06-13 04:22:32.308939638 +0200
+@@ -533,7 +533,7 @@
+ #ifdef __has_include
+ #if __has_include(<string_view>) && defined(__cplusplus) && \
+ __cplusplus >= 201703L
+-#define ABSL_HAVE_STD_STRING_VIEW 1
++// #define ABSL_HAVE_STD_STRING_VIEW 1
+ #endif
+ #endif
+
Deleted: openssl-1.1.patch
===================================================================
--- openssl-1.1.patch 2021-08-26 15:16:31 UTC (rev 1006238)
+++ openssl-1.1.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -1,24 +0,0 @@
-diff --git a/tensorflow/core/platform/s3/aws_crypto.cc b/tensorflow/core/platform/s3/aws_crypto.cc
-index 6a473027..2fe87675 100644
---- a/tensorflow/core/platform/s3/aws_crypto.cc
-+++ b/tensorflow/core/platform/s3/aws_crypto.cc
-@@ -35,14 +35,13 @@ class AWSSha256HMACOpenSSLImpl : public Aws::Utils::Crypto::HMAC {
- Aws::Utils::ByteBuffer digest(length);
- memset(digest.GetUnderlyingData(), 0, length);
-
-- HMAC_CTX ctx;
-- HMAC_CTX_init(&ctx);
-+ HMAC_CTX * ctx = HMAC_CTX_new();
-
-- HMAC_Init_ex(&ctx, secret.GetUnderlyingData(),
-+ HMAC_Init_ex(ctx, secret.GetUnderlyingData(),
- static_cast<int>(secret.GetLength()), EVP_sha256(), NULL);
-- HMAC_Update(&ctx, toSign.GetUnderlyingData(), toSign.GetLength());
-- HMAC_Final(&ctx, digest.GetUnderlyingData(), &length);
-- HMAC_CTX_cleanup(&ctx);
-+ HMAC_Update(ctx, toSign.GetUnderlyingData(), toSign.GetLength());
-+ HMAC_Final(ctx, digest.GetUnderlyingData(), &length);
-+ HMAC_CTX_free(ctx);
-
- return Aws::Utils::Crypto::HashResult(std::move(digest));
- }
Copied: tensorflow/repos/community-x86_64/openssl-1.1.patch (from rev 1006238, tensorflow/trunk/openssl-1.1.patch)
===================================================================
--- openssl-1.1.patch (rev 0)
+++ openssl-1.1.patch 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -0,0 +1,24 @@
+diff --git a/tensorflow/core/platform/s3/aws_crypto.cc b/tensorflow/core/platform/s3/aws_crypto.cc
+index 6a473027..2fe87675 100644
+--- a/tensorflow/core/platform/s3/aws_crypto.cc
++++ b/tensorflow/core/platform/s3/aws_crypto.cc
+@@ -35,14 +35,13 @@ class AWSSha256HMACOpenSSLImpl : public Aws::Utils::Crypto::HMAC {
+ Aws::Utils::ByteBuffer digest(length);
+ memset(digest.GetUnderlyingData(), 0, length);
+
+- HMAC_CTX ctx;
+- HMAC_CTX_init(&ctx);
++ HMAC_CTX * ctx = HMAC_CTX_new();
+
+- HMAC_Init_ex(&ctx, secret.GetUnderlyingData(),
++ HMAC_Init_ex(ctx, secret.GetUnderlyingData(),
+ static_cast<int>(secret.GetLength()), EVP_sha256(), NULL);
+- HMAC_Update(&ctx, toSign.GetUnderlyingData(), toSign.GetLength());
+- HMAC_Final(&ctx, digest.GetUnderlyingData(), &length);
+- HMAC_CTX_cleanup(&ctx);
++ HMAC_Update(ctx, toSign.GetUnderlyingData(), toSign.GetLength());
++ HMAC_Final(ctx, digest.GetUnderlyingData(), &length);
++ HMAC_CTX_free(ctx);
+
+ return Aws::Utils::Crypto::HashResult(std::move(digest));
+ }
Deleted: test.py
===================================================================
--- test.py 2021-08-26 15:16:31 UTC (rev 1006238)
+++ test.py 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -1,12 +0,0 @@
-#!/usr/bin/env python
-
-import tensorflow as tf
-
-with tf.device("/GPU:0"):
- a = tf.random.normal([1, 2])
-
-
-def temp(x):
- return tf.shape(x)[0]
-
-tf.autograph.to_graph(temp)
Copied: tensorflow/repos/community-x86_64/test.py (from rev 1006238, tensorflow/trunk/test.py)
===================================================================
--- test.py (rev 0)
+++ test.py 2021-08-26 15:16:54 UTC (rev 1006239)
@@ -0,0 +1,12 @@
+#!/usr/bin/env python
+
+import tensorflow as tf
+
+with tf.device("/GPU:0"):
+ a = tf.random.normal([1, 2])
+
+
+def temp(x):
+ return tf.shape(x)[0]
+
+tf.autograph.to_graph(temp)
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