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fedora-40-5.3_opam-2.3

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2025-04-07 01:09.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (463c57039dce5e7ebd23e4739665cbc647a282e4) (linux-x86_64:fedora-40-5.3_opam-2.3)
Base: ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 463c5703
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e
# fedora-40-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo dnf install -y findutils
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


END-OF-DOCKERFILE
docker build .
END-REPRO-BLOCK


2025-04-07 01:09.40: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e-fedora-40-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04"
2025-04-07 01:09.40: Using OBuilder spec:
((from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e)
(comment fedora-40-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (network host)
(shell "sudo dnf install -y findutils"))
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-04-07 01:09.40: Waiting for resource in pool OCluster
2025-04-07 01:09.40: Waiting for worker…
2025-04-07 01:09.42: Got resource from pool OCluster
Building on doris.caelum.ci.dev
All commits already cached
HEAD is now at 463c5703 Fix ppx_minidebug version, update cudajit version


(from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e)
2025-04-07 01:09.42 ---> using "1476c452edd56a53215a301540bb2009c8d2a15dba423047d40300e18599671f" from cache


/: (comment fedora-40-5.3_opam-2.3)


/: (user (uid 1000) (gid 1000))


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (network host)
(shell "sudo dnf install -y findutils"))
Fedora 40 - x86_64                               11 kB/s |  27 kB     00:02
Fedora 40 openh264 (From Cisco) - x86_64        695  B/s | 989  B     00:01
Fedora 40 - x86_64 - Updates                     19 kB/s | 8.4 kB     00:00
Fedora 40 - x86_64 - Updates                    1.6 MB/s | 6.4 MB     00:03
Package findutils-1:4.9.0-9.fc40.x86_64 is already installed.
Dependencies resolved.
Nothing to do.
Complete!
2025-04-07 01:09.42 ---> using "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" from cache


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-04-07 01:09.42 ---> using "3cf8028e21344054f79e658239efeb83a6d7aca5695c51333e87cfafa85482ca" from cache


/src: (run (shell "opam init --reinit -ni"))
Configuring from /home/opam/.opamrc and then from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.


This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.


Continue? [y/n] y
[NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=39 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-04-07 01:09.42 ---> using "e8183cd9ba1a23c4d7ddb3cf8b2d2350a9e0a7713ccd1e3ac8d0c1e7fffb4080" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-04-07 01:09.42 ---> using "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-04-07 01:09.42 ---> using "c4ed4798c67e57846c83ac2aba073c0c9239aa56a5e2c21f39faf8e0638895ed" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..598efb46ec  master     -> origin/master
598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive
[default] synchronised from file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-04-07 01:10.44 ---> saved as "3355a3df8a5ac95e8bc5dea05ca00df1d5f5fafebc3b47f94eb5cac2a609e3ed"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-04-07 01:10.45 ---> saved as "13e012d15506a44e583e4a460668a2406a723dff8101c52844ec46f2b6ae7e52"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-04-07 01:10.47 ---> saved as "3366b9fd0e0e5b6a4c28e365e99db5db31aba38117570adcd868d2adee84cddc"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-04-07 01:10.48 ---> saved as "b06a80310bf31f90599a9b4752ffa4c362ff4e92b332ea7fbd42b69856c19838"


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "yum" "makecache"
- Fedora 40 - x86_64                               22 kB/s |  27 kB     00:01
- Fedora 40 openh264 (From Cisco) - x86_64        1.2 kB/s | 989  B     00:00
- Fedora 40 - x86_64 - Updates                     15 kB/s |  24 kB     00:01
- Metadata cache created.


<><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><>
[arrayjit.dev] synchronised (file:///src)
[neural_nets_lib.dev] synchronised (file:///src)


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-devel


<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>


+ /usr/bin/sudo "yum" "install" "-y" "libffi-devel"
- Last metadata expiration check: 0:00:13 ago on Mon Apr  7 01:10:52 2025.
- Dependencies resolved.
- ================================================================================
-  Package              Architecture   Version               Repository      Size
- ================================================================================
- Installing:
-  libffi-devel         x86_64         3.4.4-7.fc40          fedora          28 k
- 
- Transaction Summary
- ================================================================================
- Install  1 Package
- 
- Total download size: 28 k
- Installed size: 33 k
- Downloading Packages:
- libffi-devel-3.4.4-7.fc40.x86_64.rpm             33 kB/s |  28 kB     00:00
- --------------------------------------------------------------------------------
- Total                                           4.3 kB/s |  28 kB     00:06
- Running transaction check
- Transaction check succeeded.
- Running transaction test
- Transaction test succeeded.
- Running transaction
-   Preparing        :                                                        1/1
-   Installing       : libffi-devel-3.4.4-7.fc40.x86_64                       1/1
-   Running scriptlet: libffi-devel-3.4.4-7.fc40.x86_64                       1/1
- 
- Installed:
-   libffi-devel-3.4.4-7.fc40.x86_64
- 
- Complete!
+ /usr/bin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.4-7.fc40.x86_64
2025-04-07 01:11.13 ---> saved as "5289a9616ad86064a792a0e67a128e63dbb3ddbff4b2c84fd39169644de1cc95"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 74 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.18.0
- install dune-configurator       3.18.0
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml-version           4.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.2.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved dune.3.18.0, dune-configurator.3.18.0  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.0
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.0
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-04-07 01:12.33 ---> saved as "25365da6223daf3c21971d5bc012b43c3bae23141bc69d31f565af20d4b786c2"


/src: (copy (src .) (dst /src))
2025-04-07 01:12.33 ---> saved as "470c30dcaf7b1f9e0e94b8e2464abb3e7f6fe5099baf8bf4717a271e861e6686"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test_ppx && ./test_ppx_op_expected.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test_ppx && ./test_ppx_op.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/79eb33c5a4dd880b36baff8fb0e75166/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/bc70219a184f66fb3459bbcea439c0e4/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.163750, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248543, epoch loss=1.311299
Batch=419, step=8820, lr=0.163500, batch loss=0.245673, epoch loss=1.556971
Batch=479, step=8880, lr=0.163250, batch loss=0.228519, epoch loss=1.785490
Batch=539, step=8940, lr=0.163000, batch loss=0.178226, epoch loss=1.963716
Batch=599, step=9000, lr=0.162750, batch loss=0.217296, epoch loss=2.181012
Batch=659, step=9060, lr=0.162500, batch loss=0.294862, epoch loss=2.475874
Batch=719, step=9120, lr=0.162250, batch loss=0.296342, epoch loss=2.772216
Batch=779, step=9180, lr=0.162000, batch loss=0.316821, epoch loss=3.089037
Batch=839, step=9240, lr=0.161750, batch loss=0.287173, epoch loss=3.376211
Batch=899, step=9300, lr=0.161500, batch loss=0.251128, epoch loss=3.627338
Batch=959, step=9360, lr=0.161250, batch loss=0.190405, epoch loss=3.817743
Batch=1019, step=9420, lr=0.161000, batch loss=0.311928, epoch loss=4.129670
Batch=1079, step=9480, lr=0.160750, batch loss=0.191415, epoch loss=4.321085
Batch=1139, step=9540, lr=0.160500, batch loss=0.215877, epoch loss=4.536962
Batch=1199, step=9600, lr=0.160250, batch loss=0.165629, epoch loss=4.702591
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702591
Batch=59, step=9660, lr=0.159750, batch loss=0.197124, epoch loss=0.197124
Batch=119, step=9720, lr=0.159750, batch loss=0.165474, epoch loss=0.362598
Batch=179, step=9780, lr=0.159500, batch loss=0.179284, epoch loss=0.541882
Batch=239, step=9840, lr=0.159000, batch loss=0.263828, epoch loss=0.805710
Batch=299, step=9900, lr=0.159000, batch loss=0.182147, epoch loss=0.987857
Batch=359, step=9960, lr=0.158750, batch loss=0.240882, epoch loss=1.228739
Batch=419, step=10020, lr=0.158500, batch loss=0.232954, epoch loss=1.461692
Batch=479, step=10080, lr=0.158250, batch loss=0.213229, epoch loss=1.674922
Batch=539, step=10140, lr=0.158000, batch loss=0.170538, epoch loss=1.845459
Batch=599, step=10200, lr=0.157750, batch loss=0.200270, epoch loss=2.045729
Batch=659, step=10260, lr=0.157500, batch loss=0.283039, epoch loss=2.328768
Batch=719, step=10320, lr=0.157250, batch loss=0.279698, epoch loss=2.608466
Batch=779, step=10380, lr=0.157000, batch loss=0.300731, epoch loss=2.909197
Batch=839, step=10440, lr=0.156750, batch loss=0.271014, epoch loss=3.180211
Batch=899, step=10500, lr=0.156500, batch loss=0.239747, epoch loss=3.419958
Batch=959, step=10560, lr=0.156250, batch loss=0.198125, epoch loss=3.618084
Batch=1019, step=10620, lr=0.156000, batch loss=0.293644, epoch loss=3.911728
Batch=1079, step=10680, lr=0.155750, batch loss=0.179929, epoch loss=4.091657
Batch=1139, step=10740, lr=0.155500, batch loss=0.204219, epoch loss=4.295875
Batch=1199, step=10800, lr=0.155250, batch loss=0.154717, epoch loss=4.450593
Epoch=8, step=10800, lr=0.155250, epoch loss=4.450593
Batch=59, step=10860, lr=0.155000, batch loss=0.176369, epoch loss=0.176369
Batch=119, step=10920, lr=0.154750, batch loss=0.147164, epoch loss=0.323533
Batch=179, step=10980, lr=0.154500, batch loss=0.166011, epoch loss=0.489544
Batch=239, step=11040, lr=0.154250, batch loss=0.241473, epoch loss=0.731017
Batch=299, step=11100, lr=0.154000, batch loss=0.170471, epoch loss=0.901487
Batch=359, step=11160, lr=0.153750, batch loss=0.221276, epoch loss=1.122763
Batch=419, step=11220, lr=0.153500, batch loss=0.218353, epoch loss=1.341116
Batch=479, step=11280, lr=0.153250, batch loss=0.209255, epoch loss=1.550371
Batch=539, step=11340, lr=0.153000, batch loss=0.158902, epoch loss=1.709273
Batch=599, step=11400, lr=0.152750, batch loss=0.177408, epoch loss=1.886681
Batch=659, step=11460, lr=0.152500, batch loss=0.265252, epoch loss=2.151933
Batch=719, step=11520, lr=0.152250, batch loss=0.260150, epoch loss=2.412083
Batch=779, step=11580, lr=0.152000, batch loss=0.272845, epoch loss=2.684928
Batch=839, step=11640, lr=0.151750, batch loss=0.256176, epoch loss=2.941104
Batch=899, step=11700, lr=0.151500, batch loss=0.212604, epoch loss=3.153707
Batch=959, step=11760, lr=0.151250, batch loss=0.169073, epoch loss=3.322780
Batch=1019, step=11820, lr=0.151000, batch loss=0.266263, epoch loss=3.589044
Batch=1079, step=11880, lr=0.150750, batch loss=0.149095, epoch loss=3.738139
Batch=1139, step=11940, lr=0.150500, batch loss=0.184222, epoch loss=3.922361
Batch=1199, step=12000, lr=0.150250, batch loss=0.138547, epoch loss=4.060908
Epoch=9, step=12000, lr=0.150250, epoch loss=4.060908
Batch=59, step=12060, lr=0.150000, batch loss=0.157994, epoch loss=0.157994
Batch=119, step=12120, lr=0.149750, batch loss=0.129039, epoch loss=0.287033
Batch=179, step=12180, lr=0.149500, batch loss=0.153541, epoch loss=0.440574
Batch=239, step=12240, lr=0.149250, batch loss=0.218309, epoch loss=0.658883
Batch=299, step=12300, lr=0.149000, batch loss=0.141634, epoch loss=0.800517
Batch=359, step=12360, lr=0.148750, batch loss=0.197463, epoch loss=0.997980
Batch=419, step=12420, lr=0.148500, batch loss=0.204504, epoch loss=1.202484
Batch=479, step=12480, lr=0.148250, batch loss=0.179937, epoch loss=1.382421
Batch=539, step=12540, lr=0.148000, batch loss=0.141341, epoch loss=1.523761
Batch=599, step=12600, lr=0.147750, batch loss=0.150485, epoch loss=1.674246
Batch=659, step=12660, lr=0.147500, batch loss=0.224038, epoch loss=1.898284
Batch=719, step=12720, lr=0.147250, batch loss=0.237101, epoch loss=2.135385
Batch=779, step=12780, lr=0.147000, batch loss=0.258476, epoch loss=2.393861
Batch=839, step=12840, lr=0.146750, batch loss=0.237665, epoch loss=2.631526
Batch=899, step=12900, lr=0.146500, batch loss=0.229461, epoch loss=2.860986
Batch=959, step=12960, lr=0.146250, batch loss=0.139596, epoch loss=3.000582
Batch=1019, step=13020, lr=0.146000, batch loss=0.209285, epoch loss=3.209868
Batch=1079, step=13080, lr=0.145750, batch loss=0.118359, epoch loss=3.328227
Batch=1139, step=13140, lr=0.145500, batch loss=0.156564, epoch loss=3.484791
Batch=1199, step=13200, lr=0.145250, batch loss=0.117177, epoch loss=3.601968
Epoch=10, step=13200, lr=0.145250, epoch loss=3.601968
Batch=59, step=13260, lr=0.145000, batch loss=0.138014, epoch loss=0.138014
Batch=119, step=13320, lr=0.144750, batch loss=0.116822, epoch loss=0.254836
Batch=179, step=13380, lr=0.144250, batch loss=0.127997, epoch loss=0.382833
Batch=239, step=13440, lr=0.144250, batch loss=0.185218, epoch loss=0.568051
Batch=299, step=13500, lr=0.144000, batch loss=0.118519, epoch loss=0.686569
Batch=359, step=13560, lr=0.143750, batch loss=0.162977, epoch loss=0.849547
Batch=419, step=13620, lr=0.143500, batch loss=0.161388, epoch loss=1.010934
Batch=479, step=13680, lr=0.143250, batch loss=0.146726, epoch loss=1.157660
Batch=539, step=13740, lr=0.143000, batch loss=0.119550, epoch loss=1.277210
Batch=599, step=13800, lr=0.142750, batch loss=0.120067, epoch loss=1.397277
Batch=659, step=13860, lr=0.142500, batch loss=0.176211, epoch loss=1.573488
Batch=719, step=13920, lr=0.142250, batch loss=0.177821, epoch loss=1.751309
Batch=779, step=13980, lr=0.142000, batch loss=0.195126, epoch loss=1.946435
Batch=839, step=14040, lr=0.141750, batch loss=0.185731, epoch loss=2.132165
Batch=899, step=14100, lr=0.141500, batch loss=0.158306, epoch loss=2.290471
Batch=959, step=14160, lr=0.141250, batch loss=0.134044, epoch loss=2.424515
Batch=1019, step=14220, lr=0.140750, batch loss=0.282996, epoch loss=2.707511
Batch=1079, step=14280, lr=0.140750, batch loss=0.088703, epoch loss=2.796214
Batch=1139, step=14340, lr=0.140500, batch loss=0.130230, epoch loss=2.926444
Batch=1199, step=14400, lr=0.140250, batch loss=0.092646, epoch loss=3.019090
Epoch=11, step=14400, lr=0.140250, epoch loss=3.019090
Batch=59, step=14460, lr=0.140000, batch loss=0.118849, epoch loss=0.118849
Batch=119, step=14520, lr=0.139750, batch loss=0.105374, epoch loss=0.224223
Batch=179, step=14580, lr=0.139500, batch loss=0.103803, epoch loss=0.328026
Batch=239, step=14640, lr=0.139250, batch loss=0.140415, epoch loss=0.468441
Batch=299, step=14700, lr=0.139000, batch loss=0.078777, epoch loss=0.547217
Batch=359, step=14760, lr=0.138750, batch loss=0.117778, epoch loss=0.664996
Batch=419, step=14820, lr=0.138500, batch loss=0.123653, epoch loss=0.788649
Batch=479, step=14880, lr=0.138250, batch loss=0.104424, epoch loss=0.893073
Batch=539, step=14940, lr=0.138000, batch loss=0.115156, epoch loss=1.008230
Batch=599, step=15000, lr=0.137750, batch loss=0.087054, epoch loss=1.095283
Batch=659, step=15060, lr=0.137500, batch loss=0.125383, epoch loss=1.220666
Batch=719, step=15120, lr=0.137250, batch loss=0.130994, epoch loss=1.351660
Batch=779, step=15180, lr=0.137000, batch loss=0.162351, epoch loss=1.514011
Batch=839, step=15240, lr=0.136750, batch loss=0.173071, epoch loss=1.687082
Batch=899, step=15300, lr=0.136500, batch loss=0.291595, epoch loss=1.978677
Batch=959, step=15360, lr=0.136250, batch loss=0.058765, epoch loss=2.037442
Batch=1019, step=15420, lr=0.136000, batch loss=0.140763, epoch loss=2.178205
Batch=1079, step=15480, lr=0.135500, batch loss=0.039456, epoch loss=2.217660
Batch=1139, step=15540, lr=0.135500, batch loss=0.088854, epoch loss=2.306515
Batch=1199, step=15600, lr=0.135250, batch loss=0.055496, epoch loss=2.362011
Epoch=12, step=15600, lr=0.135250, epoch loss=2.362011
Batch=59, step=15660, lr=0.135000, batch loss=0.084149, epoch loss=0.084149
Batch=119, step=15720, lr=0.134750, batch loss=0.124686, epoch loss=0.208835
Batch=179, step=15780, lr=0.134500, batch loss=0.096740, epoch loss=0.305575
Batch=239, step=15840, lr=0.134250, batch loss=0.097591, epoch loss=0.403165
Batch=299, step=15900, lr=0.134000, batch loss=0.038960, epoch loss=0.442126
Batch=359, step=15960, lr=0.133750, batch loss=0.080935, epoch loss=0.523061
Batch=419, step=16020, lr=0.133500, batch loss=0.080361, epoch loss=0.603421
Batch=479, step=16080, lr=0.133250, batch loss=0.064688, epoch loss=0.668109
Batch=539, step=16140, lr=0.133000, batch loss=0.055554, epoch loss=0.723663
Batch=599, step=16200, lr=0.132750, batch loss=0.102058, epoch loss=0.825720
Batch=659, step=16260, lr=0.132500, batch loss=0.077244, epoch loss=0.902964
Batch=719, step=16320, lr=0.132250, batch loss=0.104647, epoch loss=1.007611
Batch=779, step=16380, lr=0.132000, batch loss=0.228621, epoch loss=1.236232
Batch=839, step=16440, lr=0.131750, batch loss=0.091528, epoch loss=1.327759
Batch=899, step=16500, lr=0.131500, batch loss=0.080964, epoch loss=1.408723
Batch=959, step=16560, lr=0.131250, batch loss=0.035324, epoch loss=1.444047
Batch=1019, step=16620, lr=0.131000, batch loss=0.101005, epoch loss=1.545052
Batch=1079, step=16680, lr=0.130750, batch loss=0.027451, epoch loss=1.572503
Batch=1139, step=16740, lr=0.130500, batch loss=0.058338, epoch loss=1.630841
Batch=1199, step=16800, lr=0.130250, batch loss=0.028245, epoch loss=1.659086
Epoch=13, step=16800, lr=0.130250, epoch loss=1.659086
Batch=59, step=16860, lr=0.130000, batch loss=0.035383, epoch loss=0.035383
Batch=119, step=16920, lr=0.129750, batch loss=0.047869, epoch loss=0.083252
Batch=179, step=16980, lr=0.129500, batch loss=0.047671, epoch loss=0.130923
Batch=239, step=17040, lr=0.129250, batch loss=0.070718, epoch loss=0.201641
Batch=299, step=17100, lr=0.129000, batch loss=0.069119, epoch loss=0.270761
Batch=359, step=17160, lr=0.128750, batch loss=0.055845, epoch loss=0.326605
Batch=419, step=17220, lr=0.128500, batch loss=0.097534, epoch loss=0.424139
Batch=479, step=17280, lr=0.128250, batch loss=0.024313, epoch loss=0.448452
Batch=539, step=17340, lr=0.128000, batch loss=0.032001, epoch loss=0.480453
Batch=599, step=17400, lr=0.127750, batch loss=0.049615, epoch loss=0.530068
Batch=659, step=17460, lr=0.127500, batch loss=0.045154, epoch loss=0.575222
Batch=719, step=17520, lr=0.127250, batch loss=0.042588, epoch loss=0.617810
Batch=779, step=17580, lr=0.127000, batch loss=0.076017, epoch loss=0.693827
Batch=839, step=17640, lr=0.126750, batch loss=0.067812, epoch loss=0.761638
Batch=899, step=17700, lr=0.126500, batch loss=0.086796, epoch loss=0.848435
Batch=959, step=17760, lr=0.126250, batch loss=0.039866, epoch loss=0.888301
Batch=1019, step=17820, lr=0.126000, batch loss=0.068208, epoch loss=0.956509
Batch=1079, step=17880, lr=0.125750, batch loss=0.019535, epoch loss=0.976044
Batch=1139, step=17940, lr=0.125500, batch loss=0.038048, epoch loss=1.014092
Batch=1199, step=18000, lr=0.125250, batch loss=0.018557, epoch loss=1.032649
Epoch=14, step=18000, lr=0.125250, epoch loss=1.032649
Batch=59, step=18060, lr=0.125000, batch loss=0.012268, epoch loss=0.012268
Batch=119, step=18120, lr=0.124750, batch loss=0.019830, epoch loss=0.032098
Batch=179, step=18180, lr=0.124500, batch loss=0.029246, epoch loss=0.061344
Batch=239, step=18240, lr=0.124250, batch loss=0.033108, epoch loss=0.094452
Batch=299, step=18300, lr=0.124000, batch loss=0.009892, epoch loss=0.104345
Batch=359, step=18360, lr=0.123750, batch loss=0.028450, epoch loss=0.132795
Batch=419, step=18420, lr=0.123500, batch loss=0.031047, epoch loss=0.163842
Batch=479, step=18480, lr=0.123250, batch loss=0.013829, epoch loss=0.177671
Batch=539, step=18540, lr=0.123000, batch loss=0.033232, epoch loss=0.210903
Batch=599, step=18600, lr=0.122750, batch loss=0.039040, epoch loss=0.249943
Batch=659, step=18660, lr=0.122500, batch loss=0.026057, epoch loss=0.276000
Batch=719, step=18720, lr=0.122250, batch loss=0.046504, epoch loss=0.322504
Batch=779, step=18780, lr=0.122000, batch loss=0.094489, epoch loss=0.416993
Batch=839, step=18840, lr=0.121750, batch loss=0.063047, epoch loss=0.480040
Batch=899, step=18900, lr=0.121500, batch loss=0.089446, epoch loss=0.569486
Batch=959, step=18960, lr=0.121250, batch loss=0.014348, epoch loss=0.583834
Batch=1019, step=19020, lr=0.121000, batch loss=0.018304, epoch loss=0.602138
Batch=1079, step=19080, lr=0.120750, batch loss=0.003238, epoch loss=0.605376
Batch=1139, step=19140, lr=0.120250, batch loss=0.020213, epoch loss=0.625590
Batch=1199, step=19200, lr=0.120000, batch loss=0.010368, epoch loss=0.635957
Epoch=15, step=19200, lr=0.120000, epoch loss=0.635957
Batch=59, step=19260, lr=0.120000, batch loss=0.005075, epoch loss=0.005075
Batch=119, step=19320, lr=0.119750, batch loss=0.020387, epoch loss=0.025463
Batch=179, step=19380, lr=0.119500, batch loss=0.053126, epoch loss=0.078589
Batch=239, step=19440, lr=0.119250, batch loss=0.023285, epoch loss=0.101874
Batch=299, step=19500, lr=0.119000, batch loss=0.013090, epoch loss=0.114965
Batch=359, step=19560, lr=0.118750, batch loss=0.027079, epoch loss=0.142044
Batch=419, step=19620, lr=0.118500, batch loss=0.020027, epoch loss=0.162071
Batch=479, step=19680, lr=0.118250, batch loss=0.008306, epoch loss=0.170376
Batch=539, step=19740, lr=0.118000, batch loss=0.016668, epoch loss=0.187045
Batch=599, step=19800, lr=0.117750, batch loss=0.020852, epoch loss=0.207896
Batch=659, step=19860, lr=0.117500, batch loss=0.017170, epoch loss=0.225066
Batch=719, step=19920, lr=0.117250, batch loss=0.036500, epoch loss=0.261566
Batch=779, step=19980, lr=0.117000, batch loss=0.077040, epoch loss=0.338606
Batch=839, step=20040, lr=0.116500, batch loss=0.030356, epoch loss=0.368961
Batch=899, step=20100, lr=0.116500, batch loss=0.036523, epoch loss=0.405484
Batch=959, step=20160, lr=0.116250, batch loss=0.012716, epoch loss=0.418200
Batch=1019, step=20220, lr=0.116000, batch loss=0.014946, epoch loss=0.433146
Batch=1079, step=20280, lr=0.115750, batch loss=0.002167, epoch loss=0.435313
Batch=1139, step=20340, lr=0.115500, batch loss=0.015474, epoch loss=0.450787
Batch=1199, step=20400, lr=0.115250, batch loss=0.008239, epoch loss=0.459026
Epoch=16, step=20400, lr=0.115250, epoch loss=0.459026
Batch=59, step=20460, lr=0.115000, batch loss=0.004102, epoch loss=0.004102
Batch=119, step=20520, lr=0.114750, batch loss=0.011706, epoch loss=0.015808
Batch=179, step=20580, lr=0.114500, batch loss=0.024141, epoch loss=0.039949
Batch=239, step=20640, lr=0.114250, batch loss=0.015067, epoch loss=0.055016
Batch=299, step=20700, lr=0.114000, batch loss=0.002549, epoch loss=0.057565
Batch=359, step=20760, lr=0.113750, batch loss=0.014289, epoch loss=0.071854
Batch=419, step=20820, lr=0.113500, batch loss=0.015600, epoch loss=0.087454
Batch=479, step=20880, lr=0.113000, batch loss=0.005287, epoch loss=0.092741
Batch=539, step=20940, lr=0.113000, batch loss=0.016020, epoch loss=0.108761
Batch=599, step=21000, lr=0.112750, batch loss=0.018349, epoch loss=0.127110
Batch=659, step=21060, lr=0.112500, batch loss=0.014928, epoch loss=0.142038
Batch=719, step=21120, lr=0.112250, batch loss=0.039186, epoch loss=0.181224
Batch=779, step=21180, lr=0.112000, batch loss=0.071773, epoch loss=0.252997
Batch=839, step=21240, lr=0.111750, batch loss=0.026067, epoch loss=0.279063
Batch=899, step=21300, lr=0.111500, batch loss=0.036532, epoch loss=0.315595
Batch=959, step=21360, lr=0.111250, batch loss=0.010234, epoch loss=0.325830
Batch=1019, step=21420, lr=0.111000, batch loss=0.011834, epoch loss=0.337664
Batch=1079, step=21480, lr=0.110750, batch loss=0.000080, epoch loss=0.337744
Batch=1139, step=21540, lr=0.110500, batch loss=0.011798, epoch loss=0.349542
Batch=1199, step=21600, lr=0.110250, batch loss=0.005134, epoch loss=0.354675
Epoch=17, step=21600, lr=0.110250, epoch loss=0.354675
Batch=59, step=21660, lr=0.110000, batch loss=0.002323, epoch loss=0.002323
Batch=119, step=21720, lr=0.109750, batch loss=0.006677, epoch loss=0.009000
Batch=179, step=21780, lr=0.109500, batch loss=0.013198, epoch loss=0.022198
Batch=239, step=21840, lr=0.109250, batch loss=0.015121, epoch loss=0.037319
Batch=299, step=21900, lr=0.108750, batch loss=0.002502, epoch loss=0.039821
Batch=359, step=21960, lr=0.108750, batch loss=0.012016, epoch loss=0.051837
Batch=419, step=22020, lr=0.108500, batch loss=0.011676, epoch loss=0.063513
Batch=479, step=22080, lr=0.108250, batch loss=0.002567, epoch loss=0.066079
Batch=539, step=22140, lr=0.108000, batch loss=0.018065, epoch loss=0.084145
Batch=599, step=22200, lr=0.107750, batch loss=0.016500, epoch loss=0.100645
Batch=659, step=22260, lr=0.107500, batch loss=0.016526, epoch loss=0.117171
Batch=719, step=22320, lr=0.107250, batch loss=0.021045, epoch loss=0.138216
Batch=779, step=22380, lr=0.107000, batch loss=0.028831, epoch loss=0.167048
Batch=839, step=22440, lr=0.106750, batch loss=0.029179, epoch loss=0.196227
Batch=899, step=22500, lr=0.106500, batch loss=0.023808, epoch loss=0.220035
Batch=959, step=22560, lr=0.106250, batch loss=0.008553, epoch loss=0.228587
Batch=1019, step=22620, lr=0.106000, batch loss=0.007343, epoch loss=0.235930
Batch=1079, step=22680, lr=0.105750, batch loss=0.001913, epoch loss=0.237843
Batch=1139, step=22740, lr=0.105500, batch loss=0.010232, epoch loss=0.248075
Batch=1199, step=22800, lr=0.105250, batch loss=0.004924, epoch loss=0.252999
Epoch=18, step=22800, lr=0.105250, epoch loss=0.252999
Batch=59, step=22860, lr=0.105000, batch loss=0.002508, epoch loss=0.002508
Batch=119, step=22920, lr=0.104750, batch loss=0.004359, epoch loss=0.006867
Batch=179, step=22980, lr=0.104500, batch loss=0.012181, epoch loss=0.019047
Batch=239, step=23040, lr=0.104250, batch loss=0.008397, epoch loss=0.027445
Batch=299, step=23100, lr=0.104000, batch loss=0.004152, epoch loss=0.031597
Batch=359, step=23160, lr=0.103750, batch loss=0.011764, epoch loss=0.043361
Batch=419, step=23220, lr=0.103500, batch loss=0.010618, epoch loss=0.053979
Batch=479, step=23280, lr=0.103250, batch loss=0.002866, epoch loss=0.056845
Batch=539, step=23340, lr=0.103000, batch loss=0.016366, epoch loss=0.073212
Batch=599, step=23400, lr=0.102750, batch loss=0.013327, epoch loss=0.086539
Batch=659, step=23460, lr=0.102500, batch loss=0.010431, epoch loss=0.096970
Batch=719, step=23520, lr=0.102250, batch loss=0.014971, epoch loss=0.111941
Batch=779, step=23580, lr=0.102000, batch loss=0.022079, epoch loss=0.134021
Batch=839, step=23640, lr=0.101750, batch loss=0.024341, epoch loss=0.158361
Batch=899, step=23700, lr=0.101500, batch loss=0.023362, epoch loss=0.181724
Batch=959, step=23760, lr=0.101250, batch loss=0.007533, epoch loss=0.189257
Batch=1019, step=23820, lr=0.101000, batch loss=0.007682, epoch loss=0.196939
Batch=1079, step=23880, lr=0.100750, batch loss=0.000732, epoch loss=0.197671
Batch=1139, step=23940, lr=0.100500, batch loss=0.008440, epoch loss=0.206111
Batch=1199, step=24000, lr=0.100250, batch loss=0.004624, epoch loss=0.210735
Epoch=19, step=24000, lr=0.100250, epoch loss=0.210735


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-04-07 01:12.54 ---> saved as "a323295aa11f8cfd5e456b65e7e47c650607f6f8ea5ab3f8c53edecd484b244a"
Job succeeded
2025-04-07 01:12.55: Job succeeded