fedora-41-5.3_opam-2.3

2025-04-07 20:32.11: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0e2c941f45e32868342484f9163bfc2e3a5fb09f) (linux-x86_64:fedora-41-5.3_opam-2.3)
Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 0e2c941f
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925
# fedora-41-5.3_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 20:32.11: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925-fedora-41-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04"
2025-04-07 20:32.11: Using OBuilder spec:
((from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
(comment fedora-41-5.3_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 20:32.11: Waiting for resource in pool OCluster
2025-04-07 20:32.11: Waiting for worker…
2025-04-07 20:32.11: Got resource from pool OCluster
Building on doris.caelum.ci.dev
All commits already cached
HEAD is now at 0e2c941f Formatting


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
Unable to find image 'ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925' locally
docker.io/ocaml/opam@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925: Pulling from ocaml/opam
5df61545bdd9: Pulling fs layer
5df61545bdd9: Verifying Checksum
5df61545bdd9: Download complete
5df61545bdd9: Pull complete
Digest: sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925
Status: Downloaded newer image for ocaml/opam@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925
2025-04-07 20:32.13 ---> using "189447b5abf4f84b3141564fa16299d77370e888a929cebc6495802de6bce562" from cache


/: (comment fedora-41-5.3_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"))
Updating and loading repositories:
Fedora 41 openh264 (From Cisco) - x86_ 100% | 152.0   B/s | 989.0   B |  00m06s
Fedora 41 - x86_64 - Updates           100% |  12.2 KiB/s |  23.5 KiB |  00m02s
Fedora 41 - x86_64                     100% |   8.2 KiB/s |  25.8 KiB |  00m03s
Fedora 41 - x86_64 - Updates           100% | 260.9 KiB/s |   5.5 MiB |  00m22s
Repositories loaded.
Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed.


Nothing to do.
2025-04-07 20:32.13 ---> using "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57" from cache


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-04-07 20:32.13 ---> using "92a7f2480fc833b8b6e6f7c055e96edecd7a23b7a1425abe59b46f58f5769a58" 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 71 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=71 --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 20:32.13 ---> using "22323ebe734803b688970a8a4b44abf93aa58863ccedfb0ae4ead813beb5698c" 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 20:32.13 ---> using "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-04-07 20:32.13 ---> using "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537" 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 20:32.13 ---> using "daaf41fc4379f41e18473632af51d746310376bd21afb6c692a1dae51a51fa54" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-04-07 20:32.13 ---> using "87e006b63f6ad66becd741c6286086367b32f80dda7433cf2f70c65de865cdde" from cache


/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 20:32.13 ---> using "57f1c7001ef9350efbd1983e03cf2eed8ece85b25734d7ad6c15216a7021caa7" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-04-07 20:32.13 ---> using "231c9bb5df4d8d3c3e6183bb8f4dd54ff34350d669d04c2de6e1216afb90e93b" from cache


/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"
- Updating and loading repositories:
-  Fedora 41 - x86_64 - Updates           100% |  29.2 KiB/s |  10.8 KiB |  00m00s
-  Fedora 41 - x86_64 - Updates           100% |   3.4 MiB/s |   2.8 MiB |  00m01s
- Repositories loaded.
- 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"
- Updating and loading repositories:
- Repositories loaded.
- Package       Arch   Version      Repository      Size
- Installing:
-  libffi-devel x86_64 3.4.6-3.fc41 fedora      33.1 KiB
- 
- Transaction Summary:
-  Installing:         1 package
- 
- Total size of inbound packages is 29 KiB. Need to download 29 KiB.
- After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B).
- [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% |  30.6 KiB/s |  28.8 KiB |  00m01s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% |  26.2 KiB/s |  28.8 KiB |  00m01s
- Running transaction
- [1/3] Verify package files              100% |   0.0   B/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  50.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 724.9 KiB/s |  34.8 KiB |  00m00s
- Complete!
+ /usr/bin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.6-3.fc41.x86_64
2025-04-07 20:32.13 ---> using "350db5eeadb17cfe99fc60f637047662119b9f9af951447be47f4f89b99e861f" from cache


/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_minidebug.2.2.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved ppxlib.0.35.0  (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 dune-configurator.3.18.0
-> installed parsexp.v0.17.0
-> 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 variantslib.v0.17.0
-> installed fieldslib.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_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.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_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> 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 20:32.13 ---> using "0c9c8d1607d195f55d301bac3d6c5ac9eaec7e0abef73f7632b51ae04a95abb5" from cache


/src: (copy (src .) (dst /src))
2025-04-07 20:32.13 ---> saved as "b4fe221564143f007bab6719030e08c77b609705715f76a381df908c7aedf6a3"


/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/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d4121d1072842680c1dedcf0753b9a60/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ccd2a00c625883df9a62ff0754a6df7f/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/ccd2a00c625883df9a62ff0754a6df7f/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=0.195250, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263642, epoch loss=45.331911
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331911
Batch=59, step=1260, lr=0.195000, batch loss=0.262106, epoch loss=0.262106
Batch=119, step=1320, lr=0.194750, batch loss=0.205296, epoch loss=0.467402
Batch=179, step=1380, lr=0.194500, batch loss=0.243649, epoch loss=0.711051
Batch=239, step=1440, lr=0.194250, batch loss=0.347853, epoch loss=1.058904
Batch=299, step=1500, lr=0.194000, batch loss=0.247433, epoch loss=1.306337
Batch=359, step=1560, lr=0.193750, batch loss=0.316495, epoch loss=1.622832
Batch=419, step=1620, lr=0.193500, batch loss=0.308732, epoch loss=1.931564
Batch=479, step=1680, lr=0.193250, batch loss=0.275139, epoch loss=2.206703
Batch=539, step=1740, lr=0.193000, batch loss=0.210717, epoch loss=2.417420
Batch=599, step=1800, lr=0.192750, batch loss=0.262147, epoch loss=2.679567
Batch=659, step=1860, lr=0.192500, batch loss=0.375475, epoch loss=3.055042
Batch=719, step=1920, lr=0.192250, batch loss=0.358178, epoch loss=3.413220
Batch=779, step=1980, lr=0.192000, batch loss=0.386747, epoch loss=3.799967
Batch=839, step=2040, lr=0.191750, batch loss=0.346614, epoch loss=4.146581
Batch=899, step=2100, lr=0.191500, batch loss=0.322593, epoch loss=4.469174
Batch=959, step=2160, lr=0.191250, batch loss=0.255842, epoch loss=4.725016
Batch=1019, step=2220, lr=0.191000, batch loss=0.389033, epoch loss=5.114048
Batch=1079, step=2280, lr=0.190750, batch loss=0.219143, epoch loss=5.333191
Batch=1139, step=2340, lr=0.190500, batch loss=0.262945, epoch loss=5.596137
Batch=1199, step=2400, lr=0.190250, batch loss=0.212409, epoch loss=5.808546
Epoch=1, step=2400, lr=0.190250, epoch loss=5.808546
Batch=59, step=2460, lr=0.190000, batch loss=0.229962, epoch loss=0.229962
Batch=119, step=2520, lr=0.189750, batch loss=0.192306, epoch loss=0.422268
Batch=179, step=2580, lr=0.189500, batch loss=0.220923, epoch loss=0.643192
Batch=239, step=2640, lr=0.189250, batch loss=0.329097, epoch loss=0.972289
Batch=299, step=2700, lr=0.189000, batch loss=0.205430, epoch loss=1.177719
Batch=359, step=2760, lr=0.188750, batch loss=0.291289, epoch loss=1.469008
Batch=419, step=2820, lr=0.188500, batch loss=0.283013, epoch loss=1.752021
Batch=479, step=2880, lr=0.188250, batch loss=0.261768, epoch loss=2.013789
Batch=539, step=2940, lr=0.188000, batch loss=0.199924, epoch loss=2.213713
Batch=599, step=3000, lr=0.187750, batch loss=0.244434, epoch loss=2.458148
Batch=659, step=3060, lr=0.187500, batch loss=0.345439, epoch loss=2.803587
Batch=719, step=3120, lr=0.187250, batch loss=0.342415, epoch loss=3.146002
Batch=779, step=3180, lr=0.187000, batch loss=0.366968, epoch loss=3.512970
Batch=839, step=3240, lr=0.186750, batch loss=0.323154, epoch loss=3.836125
Batch=899, step=3300, lr=0.186500, batch loss=0.281742, epoch loss=4.117866
Batch=959, step=3360, lr=0.186250, batch loss=0.205133, epoch loss=4.323000
Batch=1019, step=3420, lr=0.186000, batch loss=0.317933, epoch loss=4.640933
Batch=1079, step=3480, lr=0.185750, batch loss=0.190998, epoch loss=4.831931
Batch=1139, step=3540, lr=0.185500, batch loss=0.234310, epoch loss=5.066242
Batch=1199, step=3600, lr=0.185250, batch loss=0.198928, epoch loss=5.265170
Epoch=2, step=3600, lr=0.185250, epoch loss=5.265170
Batch=59, step=3660, lr=0.185000, batch loss=0.231771, epoch loss=0.231771
Batch=119, step=3720, lr=0.184750, batch loss=0.196260, epoch loss=0.428031
Batch=179, step=3780, lr=0.184500, batch loss=0.212864, epoch loss=0.640895
Batch=239, step=3840, lr=0.184250, batch loss=0.318794, epoch loss=0.959690
Batch=299, step=3900, lr=0.184000, batch loss=0.206128, epoch loss=1.165818
Batch=359, step=3960, lr=0.183750, batch loss=0.287282, epoch loss=1.453100
Batch=419, step=4020, lr=0.183500, batch loss=0.274272, epoch loss=1.727372
Batch=479, step=4080, lr=0.183250, batch loss=0.251539, epoch loss=1.978911
Batch=539, step=4140, lr=0.183000, batch loss=0.192658, epoch loss=2.171570
Batch=599, step=4200, lr=0.182750, batch loss=0.234351, epoch loss=2.405921
Batch=659, step=4260, lr=0.182500, batch loss=0.333002, epoch loss=2.738923
Batch=719, step=4320, lr=0.182250, batch loss=0.342339, epoch loss=3.081261
Batch=779, step=4380, lr=0.182000, batch loss=0.348923, epoch loss=3.430184
Batch=839, step=4440, lr=0.181750, batch loss=0.316802, epoch loss=3.746986
Batch=899, step=4500, lr=0.181500, batch loss=0.284730, epoch loss=4.031716
Batch=959, step=4560, lr=0.181250, batch loss=0.240271, epoch loss=4.271987
Batch=1019, step=4620, lr=0.181000, batch loss=0.330514, epoch loss=4.602501
Batch=1079, step=4680, lr=0.180750, batch loss=0.198358, epoch loss=4.800859
Batch=1139, step=4740, lr=0.180500, batch loss=0.227936, epoch loss=5.028795
Batch=1199, step=4800, lr=0.180250, batch loss=0.193439, epoch loss=5.222234
Epoch=3, step=4800, lr=0.180250, epoch loss=5.222234
Batch=59, step=4860, lr=0.180000, batch loss=0.235415, epoch loss=0.235415
Batch=119, step=4920, lr=0.179750, batch loss=0.200624, epoch loss=0.436039
Batch=179, step=4980, lr=0.179500, batch loss=0.205949, epoch loss=0.641988
Batch=239, step=5040, lr=0.179250, batch loss=0.308805, epoch loss=0.950793
Batch=299, step=5100, lr=0.179000, batch loss=0.207610, epoch loss=1.158403
Batch=359, step=5160, lr=0.178750, batch loss=0.274986, epoch loss=1.433389
Batch=419, step=5220, lr=0.178500, batch loss=0.265782, epoch loss=1.699171
Batch=479, step=5280, lr=0.178250, batch loss=0.241442, epoch loss=1.940613
Batch=539, step=5340, lr=0.178000, batch loss=0.189281, epoch loss=2.129894
Batch=599, step=5400, lr=0.177750, batch loss=0.231845, epoch loss=2.361739
Batch=659, step=5460, lr=0.177500, batch loss=0.323291, epoch loss=2.685030
Batch=719, step=5520, lr=0.177250, batch loss=0.326080, epoch loss=3.011110
Batch=779, step=5580, lr=0.177000, batch loss=0.347741, epoch loss=3.358851
Batch=839, step=5640, lr=0.176750, batch loss=0.306059, epoch loss=3.664911
Batch=899, step=5700, lr=0.176500, batch loss=0.265451, epoch loss=3.930362
Batch=959, step=5760, lr=0.176250, batch loss=0.202062, epoch loss=4.132424
Batch=1019, step=5820, lr=0.176000, batch loss=0.300109, epoch loss=4.432533
Batch=1079, step=5880, lr=0.175750, batch loss=0.179820, epoch loss=4.612353
Batch=1139, step=5940, lr=0.175500, batch loss=0.221802, epoch loss=4.834154
Batch=1199, step=6000, lr=0.175250, batch loss=0.185387, epoch loss=5.019542
Epoch=4, step=6000, lr=0.175250, epoch loss=5.019542
Batch=59, step=6060, lr=0.175000, batch loss=0.218477, epoch loss=0.218477
Batch=119, step=6120, lr=0.174750, batch loss=0.188595, epoch loss=0.407072
Batch=179, step=6180, lr=0.174500, batch loss=0.199700, epoch loss=0.606771
Batch=239, step=6240, lr=0.174250, batch loss=0.298890, epoch loss=0.905662
Batch=299, step=6300, lr=0.174000, batch loss=0.216316, epoch loss=1.121978
Batch=359, step=6360, lr=0.173750, batch loss=0.279145, epoch loss=1.401123
Batch=419, step=6420, lr=0.173500, batch loss=0.267050, epoch loss=1.668173
Batch=479, step=6480, lr=0.173250, batch loss=0.241550, epoch loss=1.909723
Batch=539, step=6540, lr=0.173000, batch loss=0.197055, epoch loss=2.106778
Batch=599, step=6600, lr=0.172750, batch loss=0.239999, epoch loss=2.346778
Batch=659, step=6660, lr=0.172500, batch loss=0.313804, epoch loss=2.660581
Batch=719, step=6720, lr=0.172250, batch loss=0.316655, epoch loss=2.977236
Batch=779, step=6780, lr=0.172000, batch loss=0.330474, epoch loss=3.307710
Batch=839, step=6840, lr=0.171750, batch loss=0.304862, epoch loss=3.612573
Batch=899, step=6900, lr=0.171500, batch loss=0.265711, epoch loss=3.878284
Batch=959, step=6960, lr=0.171250, batch loss=0.215811, epoch loss=4.094094
Batch=1019, step=7020, lr=0.171000, batch loss=0.324821, epoch loss=4.418916
Batch=1079, step=7080, lr=0.170750, batch loss=0.177445, epoch loss=4.596361
Batch=1139, step=7140, lr=0.170500, batch loss=0.213711, epoch loss=4.810072
Batch=1199, step=7200, lr=0.170250, batch loss=0.182724, epoch loss=4.992796
Epoch=5, step=7200, lr=0.170250, epoch loss=4.992796
Batch=59, step=7260, lr=0.170000, batch loss=0.240056, epoch loss=0.240056
Batch=119, step=7320, lr=0.169750, batch loss=0.180240, epoch loss=0.420296
Batch=179, step=7380, lr=0.169500, batch loss=0.194148, epoch loss=0.614444
Batch=239, step=7440, lr=0.169250, batch loss=0.290512, epoch loss=0.904957
Batch=299, step=7500, lr=0.169000, batch loss=0.207542, epoch loss=1.112498
Batch=359, step=7560, lr=0.168750, batch loss=0.261432, epoch loss=1.373930
Batch=419, step=7620, lr=0.168500, batch loss=0.253561, epoch loss=1.627491
Batch=479, step=7680, lr=0.168250, batch loss=0.232099, epoch loss=1.859590
Batch=539, step=7740, lr=0.168000, batch loss=0.193275, epoch loss=2.052866
Batch=599, step=7800, lr=0.167750, batch loss=0.225988, epoch loss=2.278854
Batch=659, step=7860, lr=0.167500, batch loss=0.305456, epoch loss=2.584310
Batch=719, step=7920, lr=0.167250, batch loss=0.308000, epoch loss=2.892310
Batch=779, step=7980, lr=0.167000, batch loss=0.330509, epoch loss=3.222819
Batch=839, step=8040, lr=0.166750, batch loss=0.291622, epoch loss=3.514442
Batch=899, step=8100, lr=0.166500, batch loss=0.261774, epoch loss=3.776216
Batch=959, step=8160, lr=0.166250, batch loss=0.199296, epoch loss=3.975511
Batch=1019, step=8220, lr=0.166000, batch loss=0.331360, epoch loss=4.306871
Batch=1079, step=8280, lr=0.165750, batch loss=0.191690, epoch loss=4.498561
Batch=1139, step=8340, lr=0.165500, batch loss=0.222645, epoch loss=4.721206
Batch=1199, step=8400, lr=0.165250, batch loss=0.173735, epoch loss=4.894941
Epoch=6, step=8400, lr=0.165250, epoch loss=4.894941
Batch=59, step=8460, lr=0.165000, batch loss=0.217087, epoch loss=0.217087
Batch=119, step=8520, lr=0.164750, batch loss=0.181986, epoch loss=0.399073
Batch=179, step=8580, lr=0.164500, batch loss=0.188786, epoch loss=0.587859
Batch=239, step=8640, lr=0.164250, batch loss=0.275936, epoch loss=0.863795
Batch=299, step=8700, lr=0.164000, batch loss=0.188563, epoch loss=1.052358
Batch=359, step=8760, lr=0.163750, batch loss=0.247900, epoch loss=1.300258
Batch=419, step=8820, lr=0.163500, batch loss=0.244414, epoch loss=1.544673
Batch=479, step=8880, lr=0.163250, batch loss=0.228718, epoch loss=1.773391
Batch=539, step=8940, lr=0.163000, batch loss=0.176973, epoch loss=1.950365
Batch=599, step=9000, lr=0.162750, batch loss=0.217675, epoch loss=2.168040
Batch=659, step=9060, lr=0.162500, batch loss=0.294548, epoch loss=2.462588
Batch=719, step=9120, lr=0.162250, batch loss=0.296679, epoch loss=2.759267
Batch=779, step=9180, lr=0.162000, batch loss=0.315207, epoch loss=3.074474
Batch=839, step=9240, lr=0.161750, batch loss=0.287604, epoch loss=3.362078
Batch=899, step=9300, lr=0.161500, batch loss=0.250640, epoch loss=3.612718
Batch=959, step=9360, lr=0.161250, batch loss=0.189920, epoch loss=3.802638
Batch=1019, step=9420, lr=0.161000, batch loss=0.315412, epoch loss=4.118050
Batch=1079, step=9480, lr=0.160750, batch loss=0.187921, epoch loss=4.305971
Batch=1139, step=9540, lr=0.160500, batch loss=0.211254, epoch loss=4.517225
Batch=1199, step=9600, lr=0.160250, batch loss=0.166688, epoch loss=4.683912
Epoch=7, step=9600, lr=0.160250, epoch loss=4.683912
Batch=59, step=9660, lr=0.160000, batch loss=0.199660, epoch loss=0.199660
Batch=119, step=9720, lr=0.159750, batch loss=0.163188, epoch loss=0.362847
Batch=179, step=9780, lr=0.159500, batch loss=0.178948, epoch loss=0.541795
Batch=239, step=9840, lr=0.159250, batch loss=0.260202, epoch loss=0.801997
Batch=299, step=9900, lr=0.159000, batch loss=0.180622, epoch loss=0.982619
Batch=359, step=9960, lr=0.158750, batch loss=0.241243, epoch loss=1.223862
Batch=419, step=10020, lr=0.158500, batch loss=0.231364, epoch loss=1.455226
Batch=479, step=10080, lr=0.158250, batch loss=0.214330, epoch loss=1.669556
Batch=539, step=10140, lr=0.158000, batch loss=0.169317, epoch loss=1.838873
Batch=599, step=10200, lr=0.157750, batch loss=0.202273, epoch loss=2.041145
Batch=659, step=10260, lr=0.157500, batch loss=0.280896, epoch loss=2.322041
Batch=719, step=10320, lr=0.157250, batch loss=0.279172, epoch loss=2.601213
Batch=779, step=10380, lr=0.157000, batch loss=0.297844, epoch loss=2.899058
Batch=839, step=10440, lr=0.156750, batch loss=0.271504, epoch loss=3.170562
Batch=899, step=10500, lr=0.156500, batch loss=0.237857, epoch loss=3.408419
Batch=959, step=10560, lr=0.156250, batch loss=0.199815, epoch loss=3.608234
Batch=1019, step=10620, lr=0.156000, batch loss=0.279067, epoch loss=3.887302
Batch=1079, step=10680, lr=0.155750, batch loss=0.166982, epoch loss=4.054284
Batch=1139, step=10740, lr=0.155500, batch loss=0.199825, epoch loss=4.254109
Batch=1199, step=10800, lr=0.155250, batch loss=0.153827, epoch loss=4.407936
Epoch=8, step=10800, lr=0.155250, epoch loss=4.407936
Batch=59, step=10860, lr=0.155000, batch loss=0.177567, epoch loss=0.177567
Batch=119, step=10920, lr=0.154750, batch loss=0.149703, epoch loss=0.327269
Batch=179, step=10980, lr=0.154500, batch loss=0.165932, epoch loss=0.493201
Batch=239, step=11040, lr=0.154250, batch loss=0.241156, epoch loss=0.734357
Batch=299, step=11100, lr=0.154000, batch loss=0.170601, epoch loss=0.904958
Batch=359, step=11160, lr=0.153750, batch loss=0.220735, epoch loss=1.125693
Batch=419, step=11220, lr=0.153500, batch loss=0.228782, epoch loss=1.354475
Batch=479, step=11280, lr=0.153250, batch loss=0.202567, epoch loss=1.557042
Batch=539, step=11340, lr=0.153000, batch loss=0.160060, epoch loss=1.717102
Batch=599, step=11400, lr=0.152750, batch loss=0.183847, epoch loss=1.900949
Batch=659, step=11460, lr=0.152500, batch loss=0.263434, epoch loss=2.164383
Batch=719, step=11520, lr=0.152250, batch loss=0.255348, epoch loss=2.419731
Batch=779, step=11580, lr=0.152000, batch loss=0.269510, epoch loss=2.689241
Batch=839, step=11640, lr=0.151750, batch loss=0.256608, epoch loss=2.945849
Batch=899, step=11700, lr=0.151500, batch loss=0.215574, epoch loss=3.161423
Batch=959, step=11760, lr=0.151250, batch loss=0.161577, epoch loss=3.323000
Batch=1019, step=11820, lr=0.151000, batch loss=0.257673, epoch loss=3.580672
Batch=1079, step=11880, lr=0.150750, batch loss=0.137267, epoch loss=3.717939
Batch=1139, step=11940, lr=0.150500, batch loss=0.169125, epoch loss=3.887064
Batch=1199, step=12000, lr=0.150250, batch loss=0.141126, epoch loss=4.028190
Epoch=9, step=12000, lr=0.150250, epoch loss=4.028190
Batch=59, step=12060, lr=0.150000, batch loss=0.175795, epoch loss=0.175795
Batch=119, step=12120, lr=0.149750, batch loss=0.147050, epoch loss=0.322845
Batch=179, step=12180, lr=0.149500, batch loss=0.150348, epoch loss=0.473193
Batch=239, step=12240, lr=0.149250, batch loss=0.216096, epoch loss=0.689289
Batch=299, step=12300, lr=0.149000, batch loss=0.145020, epoch loss=0.834309
Batch=359, step=12360, lr=0.148750, batch loss=0.193706, epoch loss=1.028015
Batch=419, step=12420, lr=0.148500, batch loss=0.193635, epoch loss=1.221650
Batch=479, step=12480, lr=0.148250, batch loss=0.177267, epoch loss=1.398917
Batch=539, step=12540, lr=0.148000, batch loss=0.143308, epoch loss=1.542225
Batch=599, step=12600, lr=0.147750, batch loss=0.148881, epoch loss=1.691106
Batch=659, step=12660, lr=0.147500, batch loss=0.225236, epoch loss=1.916342
Batch=719, step=12720, lr=0.147250, batch loss=0.228274, epoch loss=2.144616
Batch=779, step=12780, lr=0.147000, batch loss=0.257267, epoch loss=2.401884
Batch=839, step=12840, lr=0.146750, batch loss=0.235787, epoch loss=2.637671
Batch=899, step=12900, lr=0.146500, batch loss=0.241697, epoch loss=2.879368
Batch=959, step=12960, lr=0.146250, batch loss=0.137235, epoch loss=3.016604
Batch=1019, step=13020, lr=0.146000, batch loss=0.209685, epoch loss=3.226289
Batch=1079, step=13080, lr=0.145750, batch loss=0.117265, epoch loss=3.343554
Batch=1139, step=13140, lr=0.145500, batch loss=0.157278, epoch loss=3.500832
Batch=1199, step=13200, lr=0.145250, batch loss=0.117064, epoch loss=3.617896
Epoch=10, step=13200, lr=0.145250, epoch loss=3.617896
Batch=59, step=13260, lr=0.145000, batch loss=0.145143, epoch loss=0.145143
Batch=119, step=13320, lr=0.144750, batch loss=0.124530, epoch loss=0.269674
Batch=179, step=13380, lr=0.144500, batch loss=0.129218, epoch loss=0.398892
Batch=239, step=13440, lr=0.144250, batch loss=0.189044, epoch loss=0.587936
Batch=299, step=13500, lr=0.144000, batch loss=0.119787, epoch loss=0.707723
Batch=359, step=13560, lr=0.143750, batch loss=0.160429, epoch loss=0.868151
Batch=419, step=13620, lr=0.143500, batch loss=0.159272, epoch loss=1.027423
Batch=479, step=13680, lr=0.143250, batch loss=0.147701, epoch loss=1.175124
Batch=539, step=13740, lr=0.143000, batch loss=0.117436, epoch loss=1.292560
Batch=599, step=13800, lr=0.142750, batch loss=0.119286, epoch loss=1.411845
Batch=659, step=13860, lr=0.142500, batch loss=0.174426, epoch loss=1.586271
Batch=719, step=13920, lr=0.142250, batch loss=0.176205, epoch loss=1.762477
Batch=779, step=13980, lr=0.142000, batch loss=0.194752, epoch loss=1.957229
Batch=839, step=14040, lr=0.141750, batch loss=0.189344, epoch loss=2.146573
Batch=899, step=14100, lr=0.141500, batch loss=0.188025, epoch loss=2.334598
Batch=959, step=14160, lr=0.141250, batch loss=0.124222, epoch loss=2.458820
Batch=1019, step=14220, lr=0.141000, batch loss=0.220849, epoch loss=2.679668
Batch=1079, step=14280, lr=0.140750, batch loss=0.084323, epoch loss=2.763991
Batch=1139, step=14340, lr=0.140500, batch loss=0.139134, epoch loss=2.903125
Batch=1199, step=14400, lr=0.140250, batch loss=0.090614, epoch loss=2.993740
Epoch=11, step=14400, lr=0.140250, epoch loss=2.993740
Batch=59, step=14460, lr=0.140000, batch loss=0.121699, epoch loss=0.121699
Batch=119, step=14520, lr=0.139750, batch loss=0.120817, epoch loss=0.242517
Batch=179, step=14580, lr=0.139500, batch loss=0.109488, epoch loss=0.352004
Batch=239, step=14640, lr=0.139250, batch loss=0.137781, epoch loss=0.489785
Batch=299, step=14700, lr=0.139000, batch loss=0.080893, epoch loss=0.570678
Batch=359, step=14760, lr=0.138750, batch loss=0.128556, epoch loss=0.699235
Batch=419, step=14820, lr=0.138500, batch loss=0.139296, epoch loss=0.838531
Batch=479, step=14880, lr=0.138250, batch loss=0.090093, epoch loss=0.928625
Batch=539, step=14940, lr=0.138000, batch loss=0.088721, epoch loss=1.017346
Batch=599, step=15000, lr=0.137750, batch loss=0.083809, epoch loss=1.101155
Batch=659, step=15060, lr=0.137500, batch loss=0.136408, epoch loss=1.237563
Batch=719, step=15120, lr=0.137250, batch loss=0.173626, epoch loss=1.411189
Batch=779, step=15180, lr=0.137000, batch loss=0.325706, epoch loss=1.736896
Batch=839, step=15240, lr=0.136750, batch loss=0.134208, epoch loss=1.871103
Batch=899, step=15300, lr=0.136500, batch loss=0.109805, epoch loss=1.980908
Batch=959, step=15360, lr=0.136250, batch loss=0.101799, epoch loss=2.082707
Batch=1019, step=15420, lr=0.136000, batch loss=0.168967, epoch loss=2.251674
Batch=1079, step=15480, lr=0.135750, batch loss=0.037738, epoch loss=2.289413
Batch=1139, step=15540, lr=0.135500, batch loss=0.086263, epoch loss=2.375676
Batch=1199, step=15600, lr=0.135250, batch loss=0.054962, epoch loss=2.430638
Epoch=12, step=15600, lr=0.135250, epoch loss=2.430638
Batch=59, step=15660, lr=0.135000, batch loss=0.086809, epoch loss=0.086809
Batch=119, step=15720, lr=0.134750, batch loss=0.134830, epoch loss=0.221638
Batch=179, step=15780, lr=0.134500, batch loss=0.098190, epoch loss=0.319828
Batch=239, step=15840, lr=0.134250, batch loss=0.097269, epoch loss=0.417098
Batch=299, step=15900, lr=0.134000, batch loss=0.046469, epoch loss=0.463567
Batch=359, step=15960, lr=0.133750, batch loss=0.085605, epoch loss=0.549172
Batch=419, step=16020, lr=0.133500, batch loss=0.076498, epoch loss=0.625671
Batch=479, step=16080, lr=0.133250, batch loss=0.055002, epoch loss=0.680672
Batch=539, step=16140, lr=0.133000, batch loss=0.074142, epoch loss=0.754814
Batch=599, step=16200, lr=0.132750, batch loss=0.172564, epoch loss=0.927378
Batch=659, step=16260, lr=0.132500, batch loss=0.098659, epoch loss=1.026037
Batch=719, step=16320, lr=0.132250, batch loss=0.114772, epoch loss=1.140809
Batch=779, step=16380, lr=0.132000, batch loss=0.264973, epoch loss=1.405781
Batch=839, step=16440, lr=0.131750, batch loss=0.090023, epoch loss=1.495804
Batch=899, step=16500, lr=0.131500, batch loss=0.075106, epoch loss=1.570910
Batch=959, step=16560, lr=0.131250, batch loss=0.030854, epoch loss=1.601764
Batch=1019, step=16620, lr=0.131000, batch loss=0.058334, epoch loss=1.660098
Batch=1079, step=16680, lr=0.130750, batch loss=0.065219, epoch loss=1.725316
Batch=1139, step=16740, lr=0.130500, batch loss=0.123498, epoch loss=1.848814
Batch=1199, step=16800, lr=0.130250, batch loss=0.054557, epoch loss=1.903371
Epoch=13, step=16800, lr=0.130250, epoch loss=1.903371
Batch=59, step=16860, lr=0.130000, batch loss=0.034943, epoch loss=0.034943
Batch=119, step=16920, lr=0.129750, batch loss=0.034559, epoch loss=0.069502
Batch=179, step=16980, lr=0.129500, batch loss=0.044846, epoch loss=0.114348
Batch=239, step=17040, lr=0.129250, batch loss=0.059960, epoch loss=0.174307
Batch=299, step=17100, lr=0.129000, batch loss=0.020039, epoch loss=0.194346
Batch=359, step=17160, lr=0.128750, batch loss=0.044025, epoch loss=0.238371
Batch=419, step=17220, lr=0.128500, batch loss=0.047752, epoch loss=0.286123
Batch=479, step=17280, lr=0.128250, batch loss=0.033778, epoch loss=0.319900
Batch=539, step=17340, lr=0.128000, batch loss=0.062598, epoch loss=0.382498
Batch=599, step=17400, lr=0.127750, batch loss=0.035926, epoch loss=0.418425
Batch=659, step=17460, lr=0.127500, batch loss=0.048056, epoch loss=0.466481
Batch=719, step=17520, lr=0.127250, batch loss=0.039158, epoch loss=0.505638
Batch=779, step=17580, lr=0.127000, batch loss=0.040698, epoch loss=0.546337
Batch=839, step=17640, lr=0.126750, batch loss=0.059362, epoch loss=0.605699
Batch=899, step=17700, lr=0.126500, batch loss=0.061697, epoch loss=0.667396
Batch=959, step=17760, lr=0.126250, batch loss=0.032241, epoch loss=0.699637
Batch=1019, step=17820, lr=0.126000, batch loss=0.087182, epoch loss=0.786818
Batch=1079, step=17880, lr=0.125750, batch loss=0.020060, epoch loss=0.806879
Batch=1139, step=17940, lr=0.125500, batch loss=0.040755, epoch loss=0.847634
Batch=1199, step=18000, lr=0.125250, batch loss=0.015314, epoch loss=0.862948
Epoch=14, step=18000, lr=0.125250, epoch loss=0.862948
Batch=59, step=18060, lr=0.125000, batch loss=0.012099, epoch loss=0.012099
Batch=119, step=18120, lr=0.124750, batch loss=0.018584, epoch loss=0.030683
Batch=179, step=18180, lr=0.124500, batch loss=0.030711, epoch loss=0.061394
Batch=239, step=18240, lr=0.124250, batch loss=0.038948, epoch loss=0.100341
Batch=299, step=18300, lr=0.124000, batch loss=0.021476, epoch loss=0.121817
Batch=359, step=18360, lr=0.123750, batch loss=0.023498, epoch loss=0.145316
Batch=419, step=18420, lr=0.123500, batch loss=0.029274, epoch loss=0.174590
Batch=479, step=18480, lr=0.123250, batch loss=0.019981, epoch loss=0.194570
Batch=539, step=18540, lr=0.123000, batch loss=0.050706, epoch loss=0.245276
Batch=599, step=18600, lr=0.122750, batch loss=0.027246, epoch loss=0.272522
Batch=659, step=18660, lr=0.122500, batch loss=0.034714, epoch loss=0.307236
Batch=719, step=18720, lr=0.122250, batch loss=0.031844, epoch loss=0.339079
Batch=779, step=18780, lr=0.122000, batch loss=0.087558, epoch loss=0.426637
Batch=839, step=18840, lr=0.121750, batch loss=0.079830, epoch loss=0.506467
Batch=899, step=18900, lr=0.121500, batch loss=0.103204, epoch loss=0.609672
Batch=959, step=18960, lr=0.121250, batch loss=0.016803, epoch loss=0.626475
Batch=1019, step=19020, lr=0.121000, batch loss=0.021478, epoch loss=0.647954
Batch=1079, step=19080, lr=0.120750, batch loss=0.006932, epoch loss=0.654886
Batch=1139, step=19140, lr=0.120500, batch loss=0.024539, epoch loss=0.679425
Batch=1199, step=19200, lr=0.120250, batch loss=0.011000, epoch loss=0.690425
Epoch=15, step=19200, lr=0.120250, epoch loss=0.690425
Batch=59, step=19260, lr=0.120000, batch loss=0.005233, epoch loss=0.005233
Batch=119, step=19320, lr=0.119750, batch loss=0.015913, epoch loss=0.021146
Batch=179, step=19380, lr=0.119500, batch loss=0.031822, epoch loss=0.052968
Batch=239, step=19440, lr=0.119250, batch loss=0.022666, epoch loss=0.075634
Batch=299, step=19500, lr=0.119000, batch loss=0.005438, epoch loss=0.081072
Batch=359, step=19560, lr=0.118750, batch loss=0.016597, epoch loss=0.097670
Batch=419, step=19620, lr=0.118500, batch loss=0.020131, epoch loss=0.117800
Batch=479, step=19680, lr=0.118250, batch loss=0.007313, epoch loss=0.125113
Batch=539, step=19740, lr=0.118000, batch loss=0.016325, epoch loss=0.141438
Batch=599, step=19800, lr=0.117750, batch loss=0.023336, epoch loss=0.164774
Batch=659, step=19860, lr=0.117500, batch loss=0.018982, epoch loss=0.183756
Batch=719, step=19920, lr=0.117250, batch loss=0.051612, epoch loss=0.235368
Batch=779, step=19980, lr=0.117000, batch loss=0.075219, epoch loss=0.310587
Batch=839, step=20040, lr=0.116750, batch loss=0.031826, epoch loss=0.342413
Batch=899, step=20100, lr=0.116500, batch loss=0.029406, epoch loss=0.371820
Batch=959, step=20160, lr=0.116250, batch loss=0.016559, epoch loss=0.388379
Batch=1019, step=20220, lr=0.116000, batch loss=0.017423, epoch loss=0.405802
Batch=1079, step=20280, lr=0.115750, batch loss=0.002970, epoch loss=0.408772
Batch=1139, step=20340, lr=0.115500, batch loss=0.014914, epoch loss=0.423687
Batch=1199, step=20400, lr=0.115250, batch loss=0.006045, epoch loss=0.429732
Epoch=16, step=20400, lr=0.115250, epoch loss=0.429732
Batch=59, step=20460, lr=0.115000, batch loss=0.002897, epoch loss=0.002897
Batch=119, step=20520, lr=0.114750, batch loss=0.009784, epoch loss=0.012681
Batch=179, step=20580, lr=0.114500, batch loss=0.026049, epoch loss=0.038730
Batch=239, step=20640, lr=0.114250, batch loss=0.014717, epoch loss=0.053448
Batch=299, step=20700, lr=0.114000, batch loss=0.002537, epoch loss=0.055985
Batch=359, step=20760, lr=0.113750, batch loss=0.012914, epoch loss=0.068899
Batch=419, step=20820, lr=0.113500, batch loss=0.016467, epoch loss=0.085366
Batch=479, step=20880, lr=0.113250, batch loss=0.005154, epoch loss=0.090520
Batch=539, step=20940, lr=0.113000, batch loss=0.015611, epoch loss=0.106131
Batch=599, step=21000, lr=0.112750, batch loss=0.018244, epoch loss=0.124376
Batch=659, step=21060, lr=0.112500, batch loss=0.014493, epoch loss=0.138868
Batch=719, step=21120, lr=0.112250, batch loss=0.044438, epoch loss=0.183306
Batch=779, step=21180, lr=0.112000, batch loss=0.070339, epoch loss=0.253645
Batch=839, step=21240, lr=0.111750, batch loss=0.025787, epoch loss=0.279433
Batch=899, step=21300, lr=0.111500, batch loss=0.028561, epoch loss=0.307994
Batch=959, step=21360, lr=0.111250, batch loss=0.009864, epoch loss=0.317857
Batch=1019, step=21420, lr=0.111000, batch loss=0.011364, epoch loss=0.329222
Batch=1079, step=21480, lr=0.110750, batch loss=0.000858, epoch loss=0.330080
Batch=1139, step=21540, lr=0.110500, batch loss=0.013054, epoch loss=0.343133
Batch=1199, step=21600, lr=0.110250, batch loss=0.005120, epoch loss=0.348254
Epoch=17, step=21600, lr=0.110250, epoch loss=0.348254
Batch=59, step=21660, lr=0.110000, batch loss=0.002321, epoch loss=0.002321
Batch=119, step=21720, lr=0.109750, batch loss=0.006463, epoch loss=0.008784
Batch=179, step=21780, lr=0.109500, batch loss=0.012652, epoch loss=0.021436
Batch=239, step=21840, lr=0.109250, batch loss=0.009722, epoch loss=0.031158
Batch=299, step=21900, lr=0.109000, batch loss=0.010407, epoch loss=0.041565
Batch=359, step=21960, lr=0.108750, batch loss=0.014140, epoch loss=0.055705
Batch=419, step=22020, lr=0.108500, batch loss=0.013026, epoch loss=0.068732
Batch=479, step=22080, lr=0.108250, batch loss=0.003822, epoch loss=0.072554
Batch=539, step=22140, lr=0.108000, batch loss=0.014566, epoch loss=0.087120
Batch=599, step=22200, lr=0.107750, batch loss=0.015872, epoch loss=0.102992
Batch=659, step=22260, lr=0.107500, batch loss=0.014687, epoch loss=0.117678
Batch=719, step=22320, lr=0.107250, batch loss=0.028975, epoch loss=0.146653
Batch=779, step=22380, lr=0.107000, batch loss=0.035170, epoch loss=0.181823
Batch=839, step=22440, lr=0.106750, batch loss=0.025613, epoch loss=0.207436
Batch=899, step=22500, lr=0.106500, batch loss=0.026965, epoch loss=0.234402
Batch=959, step=22560, lr=0.106250, batch loss=0.009034, epoch loss=0.243436
Batch=1019, step=22620, lr=0.106000, batch loss=0.008820, epoch loss=0.252255
Batch=1079, step=22680, lr=0.105750, batch loss=0.000462, epoch loss=0.252717
Batch=1139, step=22740, lr=0.105500, batch loss=0.010598, epoch loss=0.263315
Batch=1199, step=22800, lr=0.105250, batch loss=0.004548, epoch loss=0.267863
Epoch=18, step=22800, lr=0.105250, epoch loss=0.267863
Batch=59, step=22860, lr=0.105000, batch loss=0.001640, epoch loss=0.001640
Batch=119, step=22920, lr=0.104750, batch loss=0.005387, epoch loss=0.007027
Batch=179, step=22980, lr=0.104500, batch loss=0.010980, epoch loss=0.018007
Batch=239, step=23040, lr=0.104250, batch loss=0.011082, epoch loss=0.029089
Batch=299, step=23100, lr=0.104000, batch loss=0.009045, epoch loss=0.038134
Batch=359, step=23160, lr=0.103750, batch loss=0.010840, epoch loss=0.048975
Batch=419, step=23220, lr=0.103500, batch loss=0.010793, epoch loss=0.059768
Batch=479, step=23280, lr=0.103250, batch loss=0.003855, epoch loss=0.063623
Batch=539, step=23340, lr=0.103000, batch loss=0.014215, epoch loss=0.077838
Batch=599, step=23400, lr=0.102750, batch loss=0.014365, epoch loss=0.092203
Batch=659, step=23460, lr=0.102500, batch loss=0.014338, epoch loss=0.106541
Batch=719, step=23520, lr=0.102250, batch loss=0.018615, epoch loss=0.125156
Batch=779, step=23580, lr=0.102000, batch loss=0.019138, epoch loss=0.144294
Batch=839, step=23640, lr=0.101750, batch loss=0.029512, epoch loss=0.173806
Batch=899, step=23700, lr=0.101500, batch loss=0.020675, epoch loss=0.194481
Batch=959, step=23760, lr=0.101250, batch loss=0.009046, epoch loss=0.203527
Batch=1019, step=23820, lr=0.101000, batch loss=0.007416, epoch loss=0.210943
Batch=1079, step=23880, lr=0.100750, batch loss=0.000963, epoch loss=0.211906
Batch=1139, step=23940, lr=0.100500, batch loss=0.008718, epoch loss=0.220624
Batch=1199, step=24000, lr=0.100250, batch loss=0.004367, epoch loss=0.224991
Epoch=19, step=24000, lr=0.100250, epoch loss=0.224991


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-04-07 20:32.30 ---> saved as "ec41b4523394eaf2a124c2261324743bd4e60fe34bf7f5d7f86b57849a062795"
Job succeeded
2025-04-07 20:32.31: Job succeeded