[arch-commits] Commit in tensorflow/repos/community-x86_64 (12 files)

Sven-Hendrik Haase svenstaro at gemini.archlinux.org
Fri Nov 5 01:36:04 UTC 2021


    Date: Friday, November 5, 2021 @ 01:36:03
  Author: svenstaro
Revision: 1037042

archrelease: copy trunk to community-x86_64

Added:
  tensorflow/repos/community-x86_64/48935.patch
    (from rev 1037041, tensorflow/trunk/48935.patch)
  tensorflow/repos/community-x86_64/PKGBUILD
    (from rev 1037041, tensorflow/trunk/PKGBUILD)
  tensorflow/repos/community-x86_64/build-against-actual-mkl.patch
    (from rev 1037041, tensorflow/trunk/build-against-actual-mkl.patch)
  tensorflow/repos/community-x86_64/fix-c++17-compat.patch
    (from rev 1037041, tensorflow/trunk/fix-c++17-compat.patch)
  tensorflow/repos/community-x86_64/openssl-1.1.patch
    (from rev 1037041, tensorflow/trunk/openssl-1.1.patch)
  tensorflow/repos/community-x86_64/test.py
    (from rev 1037041, 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	2021-11-05 01:35:01 UTC (rev 1037041)
+++ 48935.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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 1037041, tensorflow/trunk/48935.patch)
===================================================================
--- 48935.patch	                        (rev 0)
+++ 48935.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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	2021-11-05 01:35:01 UTC (rev 1037041)
+++ PKGBUILD	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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=6
-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:

Copied: tensorflow/repos/community-x86_64/PKGBUILD (from rev 1037041, tensorflow/trunk/PKGBUILD)
===================================================================
--- PKGBUILD	                        (rev 0)
+++ PKGBUILD	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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=2.6.1
+_pkgver=2.6.1
+pkgrel=1
+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${_pkgver}.tar.gz"
+        48935.patch
+        fix-c++17-compat.patch
+        build-against-actual-mkl.patch
+        openssl-1.1.patch)
+sha512sums=('34dcec08b73ef25cb6e5bcb0e083c2f43d8364bc9a465e59d63dc3f162a129d011e03faaecf7d563cbbe39f0c2bbf2d1795ccfb8b2ea3f108ed8db992cea9475'
+            '8a0fb7e728b144656503ee54b3c90483c619adf17b2081dceb2bd6bcd1435dd64afba97526d94114d4c10fc002d2d213ae6717ad407285b18e438b05fc1ed2ad'
+            'f682368bb47b2b022a51aa77345dfa30f3b0d7911c56515d428b8326ee3751242f375f4e715a37bb723ef20a86916dad9871c3c81b1b58da85e1ca202bc4901e'
+            'e51e3f3dced121db3a09fbdaefd33555536095584b72a5eb6f302fa6fa68ab56ea45e8a847ec90ff4ba076db312c06f91ff672e08e95263c658526582494ce08'
+            'cb15e7331f62d6e77e1099055430cd026e5788f0cab202fbfad8e27c47fca9ad5e1467249683dcdaab8c76cab4dece016f8ecd0f0793adb256ff6d975f893125')
+
+# consolidate common dependencies to prevent mishaps
+_common_py_depends=(python-termcolor python-astor python-gast03 python-numpy python-protobuf absl-py python-h5py python-keras python-keras-applications python-keras-preprocessing python-tensorflow-estimator python-opt_einsum python-astunparse python-pasta python-flatbuffers)
+
+get_pyver () {
+  python -c 'import sys; print(str(sys.version_info[0]) + "." + str(sys.version_info[1]))'
+}
+
+check_dir() {
+  # first make sure we do not break parsepkgbuild
+  if ! command -v cp &> /dev/null; then
+    >&2 echo "'cp' command not found. PKGBUILD is probably being checked by parsepkgbuild."
+    if ! command -v install &> /dev/null; then
+      >&2 echo "'install' command also not found. PKGBUILD must be getting checked by parsepkgbuild."
+      >&2 echo "Cannot check if directory '${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	2021-11-05 01:35:01 UTC (rev 1037041)
+++ build-against-actual-mkl.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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 1037041, tensorflow/trunk/build-against-actual-mkl.patch)
===================================================================
--- build-against-actual-mkl.patch	                        (rev 0)
+++ build-against-actual-mkl.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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	2021-11-05 01:35:01 UTC (rev 1037041)
+++ fix-c++17-compat.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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 1037041, tensorflow/trunk/fix-c++17-compat.patch)
===================================================================
--- fix-c++17-compat.patch	                        (rev 0)
+++ fix-c++17-compat.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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	2021-11-05 01:35:01 UTC (rev 1037041)
+++ openssl-1.1.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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 1037041, tensorflow/trunk/openssl-1.1.patch)
===================================================================
--- openssl-1.1.patch	                        (rev 0)
+++ openssl-1.1.patch	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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	2021-11-05 01:35:01 UTC (rev 1037041)
+++ test.py	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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 1037041, tensorflow/trunk/test.py)
===================================================================
--- test.py	                        (rev 0)
+++ test.py	2021-11-05 01:36:03 UTC (rev 1037042)
@@ -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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