Getting StartedDocumentation
Organisationsahrefsocannl463c57 ()fedora-41-5.3_opam-2.3

fedora-41-5.3_opam-2.3

Link Copied
Code Copied

Logs

Show raw logs
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-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 463c5703
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 01:09.40: 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 01:09.40: 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 01:09.40: Waiting for resource in pool OCluster
2025-04-07 01:09.40: Waiting for worker…
2025-04-07 01:09.41: 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-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 01:11.45 ---> saved as "189447b5abf4f84b3141564fa16299d77370e888a929cebc6495802de6bce562"


/: (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 01:12.22 ---> saved as "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-04-07 01:12.22 ---> saved as "92a7f2480fc833b8b6e6f7c055e96edecd7a23b7a1425abe59b46f58f5769a58"


/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 01:13.41 ---> saved as "22323ebe734803b688970a8a4b44abf93aa58863ccedfb0ae4ead813beb5698c"


/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 01:13.41 ---> saved as "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-04-07 01:13.41 ---> saved as "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537"


/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 01:14.37 ---> saved as "daaf41fc4379f41e18473632af51d746310376bd21afb6c692a1dae51a51fa54"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-04-07 01:14.38 ---> saved as "69e366ab8a265813ee0ac0a441e782754aaf2e94f08173d0fa246b140cf30d06"


/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 01:14.40 ---> saved as "703c548c7c795d9c5ee7569fbcd78c801e0a126613f80f3ea7a70b5bf4aec4ca"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-04-07 01:14.40 ---> saved as "7dd10b54f7b5d31af742410803a7de15b296f1f41843896255fd67f89137ab40"


/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:
- 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% |  65.5 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% |  30.5 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% |  43.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 756.4 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 01:14.55 ---> saved as "861b071353e198c8fb7678b912ab755b5e9e095f6e6fd11a377379b9c2e76eb8"


/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 integers.0.7.0  (cached)
-> retrieved fmt.0.10.0  (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 ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved dune.3.18.0, dune-configurator.3.18.0  (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)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (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 ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (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 re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved result.1.5  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (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 tyxml.4.6.0  (cached)
-> retrieved topkg.1.0.8  (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 01:16.03 ---> saved as "e7261d0d288dc1752e461c64c97273d65d74223538b4aab7524e436d8becaf03"


/src: (copy (src .) (dst /src))
2025-04-07 01:16.04 ---> saved as "1fb1fe52c83663dabe1e0819e571a8d33f3e5d961d2bf9782824d1706fd2a5cf"


/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/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/88cf9e5c99e230366e92abce82bbefb9/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/3f9e87ab43d1fd3b0086448f0dfb8691/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/3f9e87ab43d1fd3b0086448f0dfb8691/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=0.182500, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337043, epoch loss=2.761032
Batch=719, step=4320, lr=0.182250, batch loss=0.347191, epoch loss=3.108223
Batch=779, step=4380, lr=0.182000, batch loss=0.346256, epoch loss=3.454478
Batch=839, step=4440, lr=0.181750, batch loss=0.317830, epoch loss=3.772308
Batch=899, step=4500, lr=0.181500, batch loss=0.283812, epoch loss=4.056120
Batch=959, step=4560, lr=0.181250, batch loss=0.238499, epoch loss=4.294619
Batch=1019, step=4620, lr=0.181000, batch loss=0.336729, epoch loss=4.631348
Batch=1079, step=4680, lr=0.180750, batch loss=0.208768, epoch loss=4.840116
Batch=1139, step=4740, lr=0.180500, batch loss=0.249116, epoch loss=5.089232
Batch=1199, step=4800, lr=0.180250, batch loss=0.191321, epoch loss=5.280553
Epoch=3, step=4800, lr=0.180250, epoch loss=5.280553
Batch=59, step=4860, lr=0.180000, batch loss=0.225359, epoch loss=0.225359
Batch=119, step=4920, lr=0.179750, batch loss=0.186345, epoch loss=0.411704
Batch=179, step=4980, lr=0.179500, batch loss=0.205647, epoch loss=0.617351
Batch=239, step=5040, lr=0.179250, batch loss=0.307201, epoch loss=0.924552
Batch=299, step=5100, lr=0.179000, batch loss=0.208296, epoch loss=1.132848
Batch=359, step=5160, lr=0.178750, batch loss=0.276728, epoch loss=1.409576
Batch=419, step=5220, lr=0.178500, batch loss=0.272004, epoch loss=1.681581
Batch=479, step=5280, lr=0.178250, batch loss=0.249451, epoch loss=1.931032
Batch=539, step=5340, lr=0.178000, batch loss=0.196906, epoch loss=2.127937
Batch=599, step=5400, lr=0.177750, batch loss=0.240410, epoch loss=2.368347
Batch=659, step=5460, lr=0.177500, batch loss=0.319016, epoch loss=2.687364
Batch=719, step=5520, lr=0.177250, batch loss=0.325736, epoch loss=3.013100
Batch=779, step=5580, lr=0.177000, batch loss=0.346827, epoch loss=3.359927
Batch=839, step=5640, lr=0.176750, batch loss=0.305871, epoch loss=3.665798
Batch=899, step=5700, lr=0.176500, batch loss=0.266232, epoch loss=3.932030
Batch=959, step=5760, lr=0.176250, batch loss=0.198955, epoch loss=4.130985
Batch=1019, step=5820, lr=0.176000, batch loss=0.303065, epoch loss=4.434050
Batch=1079, step=5880, lr=0.175750, batch loss=0.184016, epoch loss=4.618067
Batch=1139, step=5940, lr=0.175500, batch loss=0.224044, epoch loss=4.842111
Batch=1199, step=6000, lr=0.175250, batch loss=0.186384, epoch loss=5.028495
Epoch=4, step=6000, lr=0.175250, epoch loss=5.028495
Batch=59, step=6060, lr=0.175000, batch loss=0.230433, epoch loss=0.230433
Batch=119, step=6120, lr=0.174750, batch loss=0.196128, epoch loss=0.426561
Batch=179, step=6180, lr=0.174500, batch loss=0.200732, epoch loss=0.627293
Batch=239, step=6240, lr=0.174250, batch loss=0.302287, epoch loss=0.929580
Batch=299, step=6300, lr=0.174000, batch loss=0.212983, epoch loss=1.142562
Batch=359, step=6360, lr=0.173750, batch loss=0.273178, epoch loss=1.415740
Batch=419, step=6420, lr=0.173500, batch loss=0.267190, epoch loss=1.682930
Batch=479, step=6480, lr=0.173250, batch loss=0.242212, epoch loss=1.925142
Batch=539, step=6540, lr=0.173000, batch loss=0.196643, epoch loss=2.121786
Batch=599, step=6600, lr=0.172750, batch loss=0.233382, epoch loss=2.355167
Batch=659, step=6660, lr=0.172500, batch loss=0.313384, epoch loss=2.668552
Batch=719, step=6720, lr=0.172250, batch loss=0.317895, epoch loss=2.986446
Batch=779, step=6780, lr=0.172000, batch loss=0.330156, epoch loss=3.316602
Batch=839, step=6840, lr=0.171750, batch loss=0.305607, epoch loss=3.622209
Batch=899, step=6900, lr=0.171500, batch loss=0.270048, epoch loss=3.892257
Batch=959, step=6960, lr=0.171250, batch loss=0.208657, epoch loss=4.100914
Batch=1019, step=7020, lr=0.171000, batch loss=0.327031, epoch loss=4.427945
Batch=1079, step=7080, lr=0.170750, batch loss=0.176462, epoch loss=4.604407
Batch=1139, step=7140, lr=0.170500, batch loss=0.215532, epoch loss=4.819939
Batch=1199, step=7200, lr=0.170250, batch loss=0.181315, epoch loss=5.001254
Epoch=5, step=7200, lr=0.170250, epoch loss=5.001254
Batch=59, step=7260, lr=0.170000, batch loss=0.230418, epoch loss=0.230418
Batch=119, step=7320, lr=0.169750, batch loss=0.186687, epoch loss=0.417104
Batch=179, step=7380, lr=0.169500, batch loss=0.194319, epoch loss=0.611424
Batch=239, step=7440, lr=0.169250, batch loss=0.293253, epoch loss=0.904677
Batch=299, step=7500, lr=0.169000, batch loss=0.204765, epoch loss=1.109441
Batch=359, step=7560, lr=0.168750, batch loss=0.263706, epoch loss=1.373147
Batch=419, step=7620, lr=0.168500, batch loss=0.256471, epoch loss=1.629618
Batch=479, step=7680, lr=0.168250, batch loss=0.236675, epoch loss=1.866293
Batch=539, step=7740, lr=0.168000, batch loss=0.189048, epoch loss=2.055341
Batch=599, step=7800, lr=0.167750, batch loss=0.231511, epoch loss=2.286852
Batch=659, step=7860, lr=0.167500, batch loss=0.306995, epoch loss=2.593847
Batch=719, step=7920, lr=0.167250, batch loss=0.306898, epoch loss=2.900744
Batch=779, step=7980, lr=0.167000, batch loss=0.322879, epoch loss=3.223624
Batch=839, step=8040, lr=0.166750, batch loss=0.295659, epoch loss=3.519283
Batch=899, step=8100, lr=0.166500, batch loss=0.260234, epoch loss=3.779517
Batch=959, step=8160, lr=0.166250, batch loss=0.207371, epoch loss=3.986889
Batch=1019, step=8220, lr=0.166000, batch loss=0.316722, epoch loss=4.303610
Batch=1079, step=8280, lr=0.165750, batch loss=0.169868, epoch loss=4.473479
Batch=1139, step=8340, lr=0.165500, batch loss=0.206993, epoch loss=4.680472
Batch=1199, step=8400, lr=0.165250, batch loss=0.178261, epoch loss=4.858733
Epoch=6, step=8400, lr=0.165250, epoch loss=4.858733
Batch=59, step=8460, lr=0.165000, batch loss=0.227930, epoch loss=0.227930
Batch=119, step=8520, lr=0.164750, batch loss=0.176155, epoch loss=0.404085
Batch=179, step=8580, lr=0.164500, batch loss=0.187868, epoch loss=0.591953
Batch=239, step=8640, lr=0.164250, batch loss=0.277238, epoch loss=0.869190
Batch=299, step=8700, lr=0.164000, batch loss=0.193742, epoch loss=1.062932
Batch=359, step=8760, lr=0.163750, batch loss=0.246774, epoch loss=1.309706
Batch=419, step=8820, lr=0.163500, batch loss=0.244469, epoch loss=1.554175
Batch=479, step=8880, lr=0.163250, batch loss=0.228881, epoch loss=1.783056
Batch=539, step=8940, lr=0.163000, batch loss=0.177725, epoch loss=1.960781
Batch=599, step=9000, lr=0.162750, batch loss=0.218452, epoch loss=2.179232
Batch=659, step=9060, lr=0.162500, batch loss=0.293586, epoch loss=2.472818
Batch=719, step=9120, lr=0.162250, batch loss=0.294934, epoch loss=2.767752
Batch=779, step=9180, lr=0.162000, batch loss=0.315144, epoch loss=3.082896
Batch=839, step=9240, lr=0.161750, batch loss=0.286920, epoch loss=3.369816
Batch=899, step=9300, lr=0.161500, batch loss=0.250149, epoch loss=3.619965
Batch=959, step=9360, lr=0.161250, batch loss=0.192671, epoch loss=3.812637
Batch=1019, step=9420, lr=0.161000, batch loss=0.315849, epoch loss=4.128486
Batch=1079, step=9480, lr=0.160750, batch loss=0.190182, epoch loss=4.318668
Batch=1139, step=9540, lr=0.160500, batch loss=0.211374, epoch loss=4.530042
Batch=1199, step=9600, lr=0.160250, batch loss=0.166116, epoch loss=4.696158
Epoch=7, step=9600, lr=0.160250, epoch loss=4.696158
Batch=59, step=9660, lr=0.160000, batch loss=0.199612, epoch loss=0.199612
Batch=119, step=9720, lr=0.159750, batch loss=0.163667, epoch loss=0.363279
Batch=179, step=9780, lr=0.159500, batch loss=0.178020, epoch loss=0.541299
Batch=239, step=9840, lr=0.159250, batch loss=0.263230, epoch loss=0.804530
Batch=299, step=9900, lr=0.159000, batch loss=0.179347, epoch loss=0.983877
Batch=359, step=9960, lr=0.158750, batch loss=0.242599, epoch loss=1.226476
Batch=419, step=10020, lr=0.158500, batch loss=0.237853, epoch loss=1.464329
Batch=479, step=10080, lr=0.158250, batch loss=0.227150, epoch loss=1.691479
Batch=539, step=10140, lr=0.158000, batch loss=0.185533, epoch loss=1.877012
Batch=599, step=10200, lr=0.157750, batch loss=0.203831, epoch loss=2.080844
Batch=659, step=10260, lr=0.157500, batch loss=0.279832, epoch loss=2.360676
Batch=719, step=10320, lr=0.157250, batch loss=0.286461, epoch loss=2.647137
Batch=779, step=10380, lr=0.157000, batch loss=0.293371, epoch loss=2.940508
Batch=839, step=10440, lr=0.156750, batch loss=0.265529, epoch loss=3.206037
Batch=899, step=10500, lr=0.156500, batch loss=0.243394, epoch loss=3.449430
Batch=959, step=10560, lr=0.156250, batch loss=0.195028, epoch loss=3.644458
Batch=1019, step=10620, lr=0.156000, batch loss=0.283165, epoch loss=3.927624
Batch=1079, step=10680, lr=0.155750, batch loss=0.170881, epoch loss=4.098505
Batch=1139, step=10740, lr=0.155500, batch loss=0.196673, epoch loss=4.295178
Batch=1199, step=10800, lr=0.155250, batch loss=0.154217, epoch loss=4.449395
Epoch=8, step=10800, lr=0.155250, epoch loss=4.449395
Batch=59, step=10860, lr=0.155000, batch loss=0.178712, epoch loss=0.178712
Batch=119, step=10920, lr=0.154750, batch loss=0.151004, epoch loss=0.329717
Batch=179, step=10980, lr=0.154500, batch loss=0.165777, epoch loss=0.495493
Batch=239, step=11040, lr=0.154250, batch loss=0.239931, epoch loss=0.735425
Batch=299, step=11100, lr=0.154000, batch loss=0.172603, epoch loss=0.908027
Batch=359, step=11160, lr=0.153750, batch loss=0.221586, epoch loss=1.129613
Batch=419, step=11220, lr=0.153500, batch loss=0.231776, epoch loss=1.361390
Batch=479, step=11280, lr=0.153250, batch loss=0.200212, epoch loss=1.561601
Batch=539, step=11340, lr=0.153000, batch loss=0.161987, epoch loss=1.723588
Batch=599, step=11400, lr=0.152750, batch loss=0.181361, epoch loss=1.904950
Batch=659, step=11460, lr=0.152500, batch loss=0.263564, epoch loss=2.168513
Batch=719, step=11520, lr=0.152250, batch loss=0.252951, epoch loss=2.421464
Batch=779, step=11580, lr=0.152000, batch loss=0.271634, epoch loss=2.693099
Batch=839, step=11640, lr=0.151750, batch loss=0.254007, epoch loss=2.947106
Batch=899, step=11700, lr=0.151500, batch loss=0.211990, epoch loss=3.159096
Batch=959, step=11760, lr=0.151250, batch loss=0.163931, epoch loss=3.323027
Batch=1019, step=11820, lr=0.151000, batch loss=0.267884, epoch loss=3.590912
Batch=1079, step=11880, lr=0.150750, batch loss=0.148328, epoch loss=3.739239
Batch=1139, step=11940, lr=0.150500, batch loss=0.186994, epoch loss=3.926233
Batch=1199, step=12000, lr=0.150250, batch loss=0.138618, epoch loss=4.064851
Epoch=9, step=12000, lr=0.150250, epoch loss=4.064851
Batch=59, step=12060, lr=0.150000, batch loss=0.156289, epoch loss=0.156289
Batch=119, step=12120, lr=0.149750, batch loss=0.127602, epoch loss=0.283891
Batch=179, step=12180, lr=0.149500, batch loss=0.149092, epoch loss=0.432984
Batch=239, step=12240, lr=0.149250, batch loss=0.217614, epoch loss=0.650597
Batch=299, step=12300, lr=0.149000, batch loss=0.139500, epoch loss=0.790097
Batch=359, step=12360, lr=0.148750, batch loss=0.195353, epoch loss=0.985450
Batch=419, step=12420, lr=0.148500, batch loss=0.204380, epoch loss=1.189830
Batch=479, step=12480, lr=0.148250, batch loss=0.178953, epoch loss=1.368783
Batch=539, step=12540, lr=0.148000, batch loss=0.141206, epoch loss=1.509989
Batch=599, step=12600, lr=0.147750, batch loss=0.150032, epoch loss=1.660021
Batch=659, step=12660, lr=0.147500, batch loss=0.222290, epoch loss=1.882311
Batch=719, step=12720, lr=0.147250, batch loss=0.233087, epoch loss=2.115398
Batch=779, step=12780, lr=0.147000, batch loss=0.250967, epoch loss=2.366365
Batch=839, step=12840, lr=0.146750, batch loss=0.235414, epoch loss=2.601779
Batch=899, step=12900, lr=0.146500, batch loss=0.239978, epoch loss=2.841757
Batch=959, step=12960, lr=0.146250, batch loss=0.133724, epoch loss=2.975481
Batch=1019, step=13020, lr=0.146000, batch loss=0.203294, epoch loss=3.178775
Batch=1079, step=13080, lr=0.145750, batch loss=0.123912, epoch loss=3.302687
Batch=1139, step=13140, lr=0.145500, batch loss=0.169093, epoch loss=3.471779
Batch=1199, step=13200, lr=0.145250, batch loss=0.115962, epoch loss=3.587741
Epoch=10, step=13200, lr=0.145250, epoch loss=3.587741
Batch=59, step=13260, lr=0.145000, batch loss=0.134414, epoch loss=0.134414
Batch=119, step=13320, lr=0.144750, batch loss=0.111462, epoch loss=0.245876
Batch=179, step=13380, lr=0.144500, batch loss=0.128115, epoch loss=0.373992
Batch=239, step=13440, lr=0.144250, batch loss=0.187694, epoch loss=0.561685
Batch=299, step=13500, lr=0.144000, batch loss=0.114061, epoch loss=0.675747
Batch=359, step=13560, lr=0.143750, batch loss=0.158763, epoch loss=0.834509
Batch=419, step=13620, lr=0.143500, batch loss=0.160452, epoch loss=0.994961
Batch=479, step=13680, lr=0.143250, batch loss=0.147235, epoch loss=1.142196
Batch=539, step=13740, lr=0.143000, batch loss=0.116002, epoch loss=1.258198
Batch=599, step=13800, lr=0.142750, batch loss=0.118597, epoch loss=1.376795
Batch=659, step=13860, lr=0.142500, batch loss=0.175642, epoch loss=1.552437
Batch=719, step=13920, lr=0.142250, batch loss=0.172609, epoch loss=1.725046
Batch=779, step=13980, lr=0.142000, batch loss=0.176704, epoch loss=1.901750
Batch=839, step=14040, lr=0.141750, batch loss=0.180897, epoch loss=2.082647
Batch=899, step=14100, lr=0.141500, batch loss=0.155325, epoch loss=2.237972
Batch=959, step=14160, lr=0.141250, batch loss=0.137042, epoch loss=2.375014
Batch=1019, step=14220, lr=0.141000, batch loss=0.294547, epoch loss=2.669561
Batch=1079, step=14280, lr=0.140750, batch loss=0.093759, epoch loss=2.763319
Batch=1139, step=14340, lr=0.140500, batch loss=0.148932, epoch loss=2.912252
Batch=1199, step=14400, lr=0.140250, batch loss=0.099677, epoch loss=3.011929
Epoch=11, step=14400, lr=0.140250, epoch loss=3.011929
Batch=59, step=14460, lr=0.140000, batch loss=0.104966, epoch loss=0.104966
Batch=119, step=14520, lr=0.139750, batch loss=0.097442, epoch loss=0.202407
Batch=179, step=14580, lr=0.139500, batch loss=0.103385, epoch loss=0.305793
Batch=239, step=14640, lr=0.139250, batch loss=0.140697, epoch loss=0.446490
Batch=299, step=14700, lr=0.139000, batch loss=0.077001, epoch loss=0.523491
Batch=359, step=14760, lr=0.138750, batch loss=0.118160, epoch loss=0.641651
Batch=419, step=14820, lr=0.138500, batch loss=0.129395, epoch loss=0.771046
Batch=479, step=14880, lr=0.138250, batch loss=0.098102, epoch loss=0.869148
Batch=539, step=14940, lr=0.138000, batch loss=0.091638, epoch loss=0.960786
Batch=599, step=15000, lr=0.137750, batch loss=0.083621, epoch loss=1.044407
Batch=659, step=15060, lr=0.137500, batch loss=0.125818, epoch loss=1.170226
Batch=719, step=15120, lr=0.137250, batch loss=0.125469, epoch loss=1.295695
Batch=779, step=15180, lr=0.137000, batch loss=0.151460, epoch loss=1.447155
Batch=839, step=15240, lr=0.136750, batch loss=0.172541, epoch loss=1.619696
Batch=899, step=15300, lr=0.136500, batch loss=0.294194, epoch loss=1.913890
Batch=959, step=15360, lr=0.136250, batch loss=0.057818, epoch loss=1.971708
Batch=1019, step=15420, lr=0.136000, batch loss=0.139778, epoch loss=2.111486
Batch=1079, step=15480, lr=0.135750, batch loss=0.040377, epoch loss=2.151863
Batch=1139, step=15540, lr=0.135500, batch loss=0.093862, epoch loss=2.245725
Batch=1199, step=15600, lr=0.135250, batch loss=0.058875, epoch loss=2.304600
Epoch=12, step=15600, lr=0.135250, epoch loss=2.304600
Batch=59, step=15660, lr=0.135000, batch loss=0.073378, epoch loss=0.073378
Batch=119, step=15720, lr=0.134750, batch loss=0.098098, epoch loss=0.171475
Batch=179, step=15780, lr=0.134500, batch loss=0.085432, epoch loss=0.256907
Batch=239, step=15840, lr=0.134250, batch loss=0.088723, epoch loss=0.345630
Batch=299, step=15900, lr=0.134000, batch loss=0.035096, epoch loss=0.380726
Batch=359, step=15960, lr=0.133750, batch loss=0.074071, epoch loss=0.454798
Batch=419, step=16020, lr=0.133500, batch loss=0.075151, epoch loss=0.529948
Batch=479, step=16080, lr=0.133250, batch loss=0.051110, epoch loss=0.581058
Batch=539, step=16140, lr=0.133000, batch loss=0.083530, epoch loss=0.664588
Batch=599, step=16200, lr=0.132750, batch loss=0.201107, epoch loss=0.865695
Batch=659, step=16260, lr=0.132500, batch loss=0.106108, epoch loss=0.971803
Batch=719, step=16320, lr=0.132250, batch loss=0.101052, epoch loss=1.072855
Batch=779, step=16380, lr=0.132000, batch loss=0.183198, epoch loss=1.256054
Batch=839, step=16440, lr=0.131750, batch loss=0.084741, epoch loss=1.340794
Batch=899, step=16500, lr=0.131500, batch loss=0.082000, epoch loss=1.422794
Batch=959, step=16560, lr=0.131250, batch loss=0.046158, epoch loss=1.468952
Batch=1019, step=16620, lr=0.131000, batch loss=0.128610, epoch loss=1.597562
Batch=1079, step=16680, lr=0.130750, batch loss=0.020386, epoch loss=1.617948
Batch=1139, step=16740, lr=0.130500, batch loss=0.041220, epoch loss=1.659168
Batch=1199, step=16800, lr=0.130250, batch loss=0.023084, epoch loss=1.682253
Epoch=13, step=16800, lr=0.130250, epoch loss=1.682253
Batch=59, step=16860, lr=0.130000, batch loss=0.033469, epoch loss=0.033469
Batch=119, step=16920, lr=0.129750, batch loss=0.060651, epoch loss=0.094121
Batch=179, step=16980, lr=0.129500, batch loss=0.044930, epoch loss=0.139050
Batch=239, step=17040, lr=0.129250, batch loss=0.069373, epoch loss=0.208423
Batch=299, step=17100, lr=0.129000, batch loss=0.041052, epoch loss=0.249475
Batch=359, step=17160, lr=0.128750, batch loss=0.049069, epoch loss=0.298543
Batch=419, step=17220, lr=0.128500, batch loss=0.056373, epoch loss=0.354916
Batch=479, step=17280, lr=0.128250, batch loss=0.027517, epoch loss=0.382433
Batch=539, step=17340, lr=0.128000, batch loss=0.036393, epoch loss=0.418826
Batch=599, step=17400, lr=0.127750, batch loss=0.033802, epoch loss=0.452628
Batch=659, step=17460, lr=0.127500, batch loss=0.044651, epoch loss=0.497280
Batch=719, step=17520, lr=0.127250, batch loss=0.039382, epoch loss=0.536662
Batch=779, step=17580, lr=0.127000, batch loss=0.053441, epoch loss=0.590102
Batch=839, step=17640, lr=0.126750, batch loss=0.083392, epoch loss=0.673494
Batch=899, step=17700, lr=0.126500, batch loss=0.127325, epoch loss=0.800819
Batch=959, step=17760, lr=0.126250, batch loss=0.030551, epoch loss=0.831370
Batch=1019, step=17820, lr=0.126000, batch loss=0.057979, epoch loss=0.889349
Batch=1079, step=17880, lr=0.125750, batch loss=0.020787, epoch loss=0.910137
Batch=1139, step=17940, lr=0.125500, batch loss=0.042301, epoch loss=0.952438
Batch=1199, step=18000, lr=0.125250, batch loss=0.017213, epoch loss=0.969651
Epoch=14, step=18000, lr=0.125250, epoch loss=0.969651
Batch=59, step=18060, lr=0.125000, batch loss=0.011522, epoch loss=0.011522
Batch=119, step=18120, lr=0.124750, batch loss=0.021151, epoch loss=0.032674
Batch=179, step=18180, lr=0.124500, batch loss=0.038589, epoch loss=0.071263
Batch=239, step=18240, lr=0.124250, batch loss=0.034237, epoch loss=0.105500
Batch=299, step=18300, lr=0.124000, batch loss=0.010039, epoch loss=0.115538
Batch=359, step=18360, lr=0.123750, batch loss=0.022794, epoch loss=0.138332
Batch=419, step=18420, lr=0.123500, batch loss=0.032853, epoch loss=0.171185
Batch=479, step=18480, lr=0.123250, batch loss=0.026296, epoch loss=0.197481
Batch=539, step=18540, lr=0.123000, batch loss=0.047621, epoch loss=0.245102
Batch=599, step=18600, lr=0.122750, batch loss=0.025785, epoch loss=0.270886
Batch=659, step=18660, lr=0.122500, batch loss=0.031400, epoch loss=0.302287
Batch=719, step=18720, lr=0.122250, batch loss=0.044236, epoch loss=0.346523
Batch=779, step=18780, lr=0.122000, batch loss=0.110405, epoch loss=0.456928
Batch=839, step=18840, lr=0.121750, batch loss=0.051704, epoch loss=0.508632
Batch=899, step=18900, lr=0.121500, batch loss=0.052074, epoch loss=0.560706
Batch=959, step=18960, lr=0.121250, batch loss=0.013329, epoch loss=0.574035
Batch=1019, step=19020, lr=0.121000, batch loss=0.015397, epoch loss=0.589432
Batch=1079, step=19080, lr=0.120750, batch loss=0.006932, epoch loss=0.596364
Batch=1139, step=19140, lr=0.120500, batch loss=0.023547, epoch loss=0.619912
Batch=1199, step=19200, lr=0.120250, batch loss=0.009693, epoch loss=0.629604
Epoch=15, step=19200, lr=0.120250, epoch loss=0.629604
Batch=59, step=19260, lr=0.120000, batch loss=0.004499, epoch loss=0.004499
Batch=119, step=19320, lr=0.119750, batch loss=0.016874, epoch loss=0.021373
Batch=179, step=19380, lr=0.119500, batch loss=0.040457, epoch loss=0.061830
Batch=239, step=19440, lr=0.119250, batch loss=0.020921, epoch loss=0.082750
Batch=299, step=19500, lr=0.119000, batch loss=0.004501, epoch loss=0.087252
Batch=359, step=19560, lr=0.118750, batch loss=0.015695, epoch loss=0.102946
Batch=419, step=19620, lr=0.118500, batch loss=0.018148, epoch loss=0.121094
Batch=479, step=19680, lr=0.118250, batch loss=0.007648, epoch loss=0.128742
Batch=539, step=19740, lr=0.118000, batch loss=0.018745, epoch loss=0.147487
Batch=599, step=19800, lr=0.117750, batch loss=0.019598, epoch loss=0.167085
Batch=659, step=19860, lr=0.117500, batch loss=0.017591, epoch loss=0.184676
Batch=719, step=19920, lr=0.117250, batch loss=0.015624, epoch loss=0.200300
Batch=779, step=19980, lr=0.117000, batch loss=0.023958, epoch loss=0.224258
Batch=839, step=20040, lr=0.116750, batch loss=0.029791, epoch loss=0.254049
Batch=899, step=20100, lr=0.116500, batch loss=0.028383, epoch loss=0.282432
Batch=959, step=20160, lr=0.116250, batch loss=0.011630, epoch loss=0.294062
Batch=1019, step=20220, lr=0.116000, batch loss=0.013719, epoch loss=0.307781
Batch=1079, step=20280, lr=0.115750, batch loss=0.004622, epoch loss=0.312403
Batch=1139, step=20340, lr=0.115500, batch loss=0.018112, epoch loss=0.330515
Batch=1199, step=20400, lr=0.115250, batch loss=0.007510, epoch loss=0.338025
Epoch=16, step=20400, lr=0.115250, epoch loss=0.338025
Batch=59, step=20460, lr=0.115000, batch loss=0.003252, epoch loss=0.003252
Batch=119, step=20520, lr=0.114750, batch loss=0.008853, epoch loss=0.012104
Batch=179, step=20580, lr=0.114500, batch loss=0.020005, epoch loss=0.032109
Batch=239, step=20640, lr=0.114250, batch loss=0.019367, epoch loss=0.051477
Batch=299, step=20700, lr=0.114000, batch loss=0.007878, epoch loss=0.059354
Batch=359, step=20760, lr=0.113750, batch loss=0.014047, epoch loss=0.073402
Batch=419, step=20820, lr=0.113500, batch loss=0.014572, epoch loss=0.087974
Batch=479, step=20880, lr=0.113250, batch loss=0.003250, epoch loss=0.091223
Batch=539, step=20940, lr=0.113000, batch loss=0.017733, epoch loss=0.108957
Batch=599, step=21000, lr=0.112750, batch loss=0.020804, epoch loss=0.129761
Batch=659, step=21060, lr=0.112500, batch loss=0.014247, epoch loss=0.144008
Batch=719, step=21120, lr=0.112250, batch loss=0.043881, epoch loss=0.187889
Batch=779, step=21180, lr=0.112000, batch loss=0.072259, epoch loss=0.260148
Batch=839, step=21240, lr=0.111750, batch loss=0.024511, epoch loss=0.284659
Batch=899, step=21300, lr=0.111500, batch loss=0.028430, epoch loss=0.313089
Batch=959, step=21360, lr=0.111250, batch loss=0.010703, epoch loss=0.323792
Batch=1019, step=21420, lr=0.111000, batch loss=0.012945, epoch loss=0.336736
Batch=1079, step=21480, lr=0.110750, batch loss=0.001915, epoch loss=0.338651
Batch=1139, step=21540, lr=0.110500, batch loss=0.012533, epoch loss=0.351185
Batch=1199, step=21600, lr=0.110250, batch loss=0.005098, epoch loss=0.356283
Epoch=17, step=21600, lr=0.110250, epoch loss=0.356283
Batch=59, step=21660, lr=0.110000, batch loss=0.002453, epoch loss=0.002453
Batch=119, step=21720, lr=0.109750, batch loss=0.006526, epoch loss=0.008979
Batch=179, step=21780, lr=0.109500, batch loss=0.012198, epoch loss=0.021177
Batch=239, step=21840, lr=0.109250, batch loss=0.009106, epoch loss=0.030284
Batch=299, step=21900, lr=0.109000, batch loss=0.007125, epoch loss=0.037409
Batch=359, step=21960, lr=0.108750, batch loss=0.013889, epoch loss=0.051298
Batch=419, step=22020, lr=0.108500, batch loss=0.012625, epoch loss=0.063923
Batch=479, step=22080, lr=0.108250, batch loss=0.003559, epoch loss=0.067482
Batch=539, step=22140, lr=0.108000, batch loss=0.015871, epoch loss=0.083353
Batch=599, step=22200, lr=0.107750, batch loss=0.015966, epoch loss=0.099320
Batch=659, step=22260, lr=0.107500, batch loss=0.012483, epoch loss=0.111803
Batch=719, step=22320, lr=0.107250, batch loss=0.022865, epoch loss=0.134668
Batch=779, step=22380, lr=0.107000, batch loss=0.044481, epoch loss=0.179149
Batch=839, step=22440, lr=0.106750, batch loss=0.021802, epoch loss=0.200951
Batch=899, step=22500, lr=0.106500, batch loss=0.022695, epoch loss=0.223646
Batch=959, step=22560, lr=0.106250, batch loss=0.010828, epoch loss=0.234474
Batch=1019, step=22620, lr=0.106000, batch loss=0.009311, epoch loss=0.243785
Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.243785
Batch=1139, step=22740, lr=0.105500, batch loss=0.009788, epoch loss=0.253573
Batch=1199, step=22800, lr=0.105250, batch loss=0.004741, epoch loss=0.258314
Epoch=18, step=22800, lr=0.105250, epoch loss=0.258314
Batch=59, step=22860, lr=0.105000, batch loss=0.001875, epoch loss=0.001875
Batch=119, step=22920, lr=0.104750, batch loss=0.005636, epoch loss=0.007510
Batch=179, step=22980, lr=0.104500, batch loss=0.010421, epoch loss=0.017931
Batch=239, step=23040, lr=0.104250, batch loss=0.011193, epoch loss=0.029124
Batch=299, step=23100, lr=0.104000, batch loss=0.008554, epoch loss=0.037678
Batch=359, step=23160, lr=0.103750, batch loss=0.012419, epoch loss=0.050097
Batch=419, step=23220, lr=0.103500, batch loss=0.011056, epoch loss=0.061152
Batch=479, step=23280, lr=0.103250, batch loss=0.002351, epoch loss=0.063503
Batch=539, step=23340, lr=0.103000, batch loss=0.016599, epoch loss=0.080102
Batch=599, step=23400, lr=0.102750, batch loss=0.013591, epoch loss=0.093693
Batch=659, step=23460, lr=0.102500, batch loss=0.011609, epoch loss=0.105303
Batch=719, step=23520, lr=0.102250, batch loss=0.010772, epoch loss=0.116075
Batch=779, step=23580, lr=0.102000, batch loss=0.012602, epoch loss=0.128677
Batch=839, step=23640, lr=0.101750, batch loss=0.018414, epoch loss=0.147091
Batch=899, step=23700, lr=0.101500, batch loss=0.020401, epoch loss=0.167492
Batch=959, step=23760, lr=0.101250, batch loss=0.009802, epoch loss=0.177294
Batch=1019, step=23820, lr=0.101000, batch loss=0.007995, epoch loss=0.185289
Batch=1079, step=23880, lr=0.100750, batch loss=0.000191, epoch loss=0.185480
Batch=1139, step=23940, lr=0.100500, batch loss=0.008487, epoch loss=0.193967
Batch=1199, step=24000, lr=0.100250, batch loss=0.004528, epoch loss=0.198496
Epoch=19, step=24000, lr=0.100250, epoch loss=0.198496


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############***************************************..│
│********######*####*********************************###*###*#**********************************.....│
│*******######**##***************..*****************#*######*#*******************************........│
│*******##*##**##***********..........***************########*##***************************..........│
│*****#######************.......%...%%...***************#########*************************.........%.│
│******######***********.........%........***************##*#####************************......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│
│****#######***********.........%%%%.........************#########********************........%%.%%.%│
│**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│
│*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│
│*##*####***********............%%.%%%%%..........************####***************............%%%%%%%.│
│*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│
│#####*#***********..............%%%%%%%...............*******#######*********..............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│
│#######**********................%%%%%%%%...............*****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│
│#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│**************.......................%..%%%%%%%................*****..............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│
│*************...........................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│************.............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│*********............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-04-07 01:16.20 ---> saved as "c62ad5bfb6fc358502fe90128574c6443cb36d13f62e39208f9020524b6073d7"
Job succeeded
2025-04-07 01:16.20: Job succeeded