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Content preview: * gnu/packages/machine-learning.scm (mxnet): New variable.
--- gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
1 file changed, 62 insertions(+) diff --git a/gnu/packages/machine-learning.scm
b/gnu/packages/machine-learning.scm index 50c41dc113..9408c4b8e0 100644 ---
a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm
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* gnu/packages/machine-learning.scm (mxnet): New variable.
---
gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
1 file changed, 62 insertions(+)
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 50c41dc113..9408c4b8e0 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -60,6 +60,8 @@
#:use-module (gnu packages graphviz)
#:use-module (gnu packages gstreamer)
#:use-module (gnu packages image)
+ #:use-module (gnu packages image-processing)
+ #:use-module (gnu packages jemalloc)
#:use-module (gnu packages linux)
#:use-module (gnu packages lisp-xyz)
#:use-module (gnu packages maths)
@@ -2121,3 +2123,63 @@ These include a barrier, broadcast, and allreduce.")
technique that can be used for visualisation similarly to t-SNE, but also for
general non-linear dimension reduction.")
(license license:bsd-3)))
+
+(define-public mxnet
+ (package
+ (name "mxnet")
+ (version "1.6.0")
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/apache/incubator-mxnet")
+ (commit version)
+ ;; TODO: Test if possible to include system version of those deps:
+ ;; mkldnn
+ ;; openmp
+ (recursive? #t)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "1jlk0a9kls4fxxq4sap21hk6k3vhqhlflx5jm8i2amwh1z22sj09"))))
+ (build-system cmake-build-system)
+ (arguments
+ `(#:configure-flags '("-DUSE_CUDA=OFF")
+ #:parallel-build? #f ; TODO: Try rebuilding in parallel.
+ #:phases
+ (modify-phases %standard-phases
+ (replace 'check
+ (lambda _
+ ;; Skip tests that require internet access.
+ (invoke "ctest" "--timeout" "6000")))
+ ;; (add-before 'check 'increase-test-timeout
+ ;; (lambda _
+ ;; ;; TODO: Set right timeout.
+ ;; (setenv "CTEST_TEST_TIMEOUT" "6000")
+ ;; #t))
+ )))
+ (native-inputs
+ `(("pkg-config" ,pkg-config)
+ ("perl" ,perl)
+ ;; TODO: Use our gtest
+ ;; ("googletest" ,googletest)
+ ))
+ (inputs
+ `(("lapack" ,lapack)
+ ("openblas" ,openblas)
+ ("opencv" ,opencv)
+ ("jemalloc" ,jemalloc)))
+ (home-page "https://mxnet.apache.org/")
+ (synopsis "Distributed/Mobile Deep Learning")
+ (description
+ "Apache MXNet (incubating) is a deep learning framework. It allows you
+to mix symbolic and imperative programming. At its core, MXNet contains a
+dynamic dependency scheduler that automatically parallelizes both symbolic and
+imperative operations on the fly. A graph optimization layer on top of that
+makes symbolic execution fast and memory efficient. MXNet is portable and
+lightweight, scaling effectively to multiple GPUs and multiple machines.
+
+MXNet is more than a deep learning project. It is a collection of blue prints
+and guidelines for building deep learning systems, and interesting insights of
+DL systems for hackers.")
+ (license license:asl2.0)))
--
2.25.1
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Subject: [bug#40002] Acknowledgement ([PATCH] WIP: Add mxnet.)
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Content preview: This definitions build the library. One obstacle: The tests
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This definitions build the library.
One obstacle: The tests take a very long time to complete, typically
some 30+ minutes on one core. But CMake has a default timeout set to
1500 sec (25 minutes). I've passed "--timeout 6000" to `ctest` to fix
it.
What do you think? It seems that it's the first package to need this.
openexr sets
=2D-8<---------------cut here---------------start------------->8---
(setenv "CTEST_TEST_TIMEOUT" "2000")
=2D-8<---------------cut here---------------end--------------->8---
but that does not work for MXNet for some reason.
Thoughts?
=2D-=20
Pierre Neidhardt
https://ambrevar.xyz/
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Content preview: Hi Guix Science team, Well the file gnu/packages/machine-learning.scm
=?UTF-8?Q?isn=E2=80=99t?= under your scope but you seem the most adequate for answering the
question. :-) On Mon, 09 Mar 2020 at 19:25, Pierre Neidhardt wrote: > * gnu/packages/machine-learning.scm
(mxnet): New variable. > --- > gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
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Hi Guix Science team,
Well the file gnu/packages/machine-learning.scm isn=E2=80=99t under your sc=
ope
but you seem the most adequate for answering the question. :-)
On Mon, 09 Mar 2020 at 19:25, Pierre Neidhardt <mail@HIDDEN> wrote:
> * gnu/packages/machine-learning.scm (mxnet): New variable.
> ---
> gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
> 1 file changed, 62 insertions(+)
What do we do with this old submission? Close and try to merge?
Pierre isn=E2=80=99t active for a while and probably AFK.
Thanks in advance.
Cheers,
simon
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Content preview: * gnu/packages/machine-learning.scm (mxnet): New variable.
--- gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
1 file changed, 62 insertions(+) diff --git a/gnu/packages/machine-learning.scm
b/gnu/packages/machine-learning.scm index 50c41dc113..9408c4b8e0 100644 ---
a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm
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* gnu/packages/machine-learning.scm (mxnet): New variable.
---
gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
1 file changed, 62 insertions(+)
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 50c41dc113..9408c4b8e0 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -60,6 +60,8 @@
#:use-module (gnu packages graphviz)
#:use-module (gnu packages gstreamer)
#:use-module (gnu packages image)
+ #:use-module (gnu packages image-processing)
+ #:use-module (gnu packages jemalloc)
#:use-module (gnu packages linux)
#:use-module (gnu packages lisp-xyz)
#:use-module (gnu packages maths)
@@ -2121,3 +2123,63 @@ These include a barrier, broadcast, and allreduce.")
technique that can be used for visualisation similarly to t-SNE, but also for
general non-linear dimension reduction.")
(license license:bsd-3)))
+
+(define-public mxnet
+ (package
+ (name "mxnet")
+ (version "1.6.0")
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/apache/incubator-mxnet")
+ (commit version)
+ ;; TODO: Test if possible to include system version of those deps:
+ ;; mkldnn
+ ;; openmp
+ (recursive? #t)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "1jlk0a9kls4fxxq4sap21hk6k3vhqhlflx5jm8i2amwh1z22sj09"))))
+ (build-system cmake-build-system)
+ (arguments
+ `(#:configure-flags '("-DUSE_CUDA=OFF")
+ #:parallel-build? #f ; TODO: Try rebuilding in parallel.
+ #:phases
+ (modify-phases %standard-phases
+ (replace 'check
+ (lambda _
+ ;; Skip tests that require internet access.
+ (invoke "ctest" "--timeout" "6000")))
+ ;; (add-before 'check 'increase-test-timeout
+ ;; (lambda _
+ ;; ;; TODO: Set right timeout.
+ ;; (setenv "CTEST_TEST_TIMEOUT" "6000")
+ ;; #t))
+ )))
+ (native-inputs
+ `(("pkg-config" ,pkg-config)
+ ("perl" ,perl)
+ ;; TODO: Use our gtest
+ ;; ("googletest" ,googletest)
+ ))
+ (inputs
+ `(("lapack" ,lapack)
+ ("openblas" ,openblas)
+ ("opencv" ,opencv)
+ ("jemalloc" ,jemalloc)))
+ (home-page "https://mxnet.apache.org/")
+ (synopsis "Distributed/Mobile Deep Learning")
+ (description
+ "Apache MXNet (incubating) is a deep learning framework. It allows you
+to mix symbolic and imperative programming. At its core, MXNet contains a
+dynamic dependency scheduler that automatically parallelizes both symbolic and
+imperative operations on the fly. A graph optimization layer on top of that
+makes symbolic execution fast and memory efficient. MXNet is portable and
+lightweight, scaling effectively to multiple GPUs and multiple machines.
+
+MXNet is more than a deep learning project. It is a collection of blue prints
+and guidelines for building deep learning systems, and interesting insights of
+DL systems for hackers.")
+ (license license:asl2.0)))
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To: Simon Tournier <zimon.toutoune@HIDDEN>
Subject: Re: [bug#40002] [PATCH] WIP: Add mxnet.
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Content preview: Am Mon, Jun 16,
2025 at 12:34:57PM +0200 schrieb Simon Tournier:
> On Mon, 09 Mar 2020 at 19:25, Pierre Neidhardt <mail@HIDDEN> wrote:
> What do we do with this old submission? Close and try to [...]
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Am Mon, Jun 16, 2025 at 12:34:57PM +0200 schrieb Simon Tournier:
> On Mon, 09 Mar 2020 at 19:25, Pierre Neidhardt <mail@HIDDEN> wrote:
> What do we do with this old submission? Close and try to merge?
> Pierre isn’t active for a while and probably AFK.
I take the liberty to close it. I am wary of packages that (currently)
nobody cares about, that are probably out of date, and that will cause
maintenance work in the future; all this with probably zero users.
Thanks for spotting it,
Andreas
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Date: Mon, 16 Jun 2025 13:56:02 +0200
From: Andreas Enge <andreas@HIDDEN>
To: Simon Tournier <zimon.toutoune@HIDDEN>
Subject: Re: [bug#40002] [PATCH] WIP: Add mxnet.
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Content preview: Am Mon, Jun 16,
2025 at 12:34:57PM +0200 schrieb Simon Tournier:
> On Mon, 09 Mar 2020 at 19:25, Pierre Neidhardt <mail@HIDDEN> wrote:
> What do we do with this old submission? Close and try to [...]
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Am Mon, Jun 16, 2025 at 12:34:57PM +0200 schrieb Simon Tournier:
> On Mon, 09 Mar 2020 at 19:25, Pierre Neidhardt <mail@HIDDEN> wrote:
> What do we do with this old submission? Close and try to merge?
> Pierre isn’t active for a while and probably AFK.
I take the liberty to close it. I am wary of packages that (currently)
nobody cares about, that are probably out of date, and that will cause
maintenance work in the future; all this with probably zero users.
Thanks for spotting it,
Andreas
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From: Pierre Neidhardt <mail@HIDDEN>
To: guix-patches@HIDDEN
Subject: [PATCH] WIP: Add mxnet.
Date: Mon, 9 Mar 2020 19:25:08 +0100
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Content preview: * gnu/packages/machine-learning.scm (mxnet): New variable.
--- gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
1 file changed, 62 insertions(+) diff --git a/gnu/packages/machine-learning.scm
b/gnu/packages/machine-learning.scm index 50c41dc113..9408c4b8e0 100644 ---
a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm
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* gnu/packages/machine-learning.scm (mxnet): New variable.
---
gnu/packages/machine-learning.scm | 62 +++++++++++++++++++++++++++++++
1 file changed, 62 insertions(+)
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 50c41dc113..9408c4b8e0 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -60,6 +60,8 @@
#:use-module (gnu packages graphviz)
#:use-module (gnu packages gstreamer)
#:use-module (gnu packages image)
+ #:use-module (gnu packages image-processing)
+ #:use-module (gnu packages jemalloc)
#:use-module (gnu packages linux)
#:use-module (gnu packages lisp-xyz)
#:use-module (gnu packages maths)
@@ -2121,3 +2123,63 @@ These include a barrier, broadcast, and allreduce.")
technique that can be used for visualisation similarly to t-SNE, but also for
general non-linear dimension reduction.")
(license license:bsd-3)))
+
+(define-public mxnet
+ (package
+ (name "mxnet")
+ (version "1.6.0")
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/apache/incubator-mxnet")
+ (commit version)
+ ;; TODO: Test if possible to include system version of those deps:
+ ;; mkldnn
+ ;; openmp
+ (recursive? #t)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "1jlk0a9kls4fxxq4sap21hk6k3vhqhlflx5jm8i2amwh1z22sj09"))))
+ (build-system cmake-build-system)
+ (arguments
+ `(#:configure-flags '("-DUSE_CUDA=OFF")
+ #:parallel-build? #f ; TODO: Try rebuilding in parallel.
+ #:phases
+ (modify-phases %standard-phases
+ (replace 'check
+ (lambda _
+ ;; Skip tests that require internet access.
+ (invoke "ctest" "--timeout" "6000")))
+ ;; (add-before 'check 'increase-test-timeout
+ ;; (lambda _
+ ;; ;; TODO: Set right timeout.
+ ;; (setenv "CTEST_TEST_TIMEOUT" "6000")
+ ;; #t))
+ )))
+ (native-inputs
+ `(("pkg-config" ,pkg-config)
+ ("perl" ,perl)
+ ;; TODO: Use our gtest
+ ;; ("googletest" ,googletest)
+ ))
+ (inputs
+ `(("lapack" ,lapack)
+ ("openblas" ,openblas)
+ ("opencv" ,opencv)
+ ("jemalloc" ,jemalloc)))
+ (home-page "https://mxnet.apache.org/")
+ (synopsis "Distributed/Mobile Deep Learning")
+ (description
+ "Apache MXNet (incubating) is a deep learning framework. It allows you
+to mix symbolic and imperative programming. At its core, MXNet contains a
+dynamic dependency scheduler that automatically parallelizes both symbolic and
+imperative operations on the fly. A graph optimization layer on top of that
+makes symbolic execution fast and memory efficient. MXNet is portable and
+lightweight, scaling effectively to multiple GPUs and multiple machines.
+
+MXNet is more than a deep learning project. It is a collection of blue prints
+and guidelines for building deep learning systems, and interesting insights of
+DL systems for hackers.")
+ (license license:asl2.0)))
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