fedora-41-5.3_opam-2.3

2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (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 8b6a6fac
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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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


2025-03-21 14:48.49: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925-fedora-41-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 14:48.49: 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 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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"))
)


2025-03-21 14:48.49: Waiting for resource in pool OCluster
2025-03-21 14:48.50: Waiting for worker…
2025-03-21 14:49.05: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
HEAD is now at d63fdf0d Expose and test the new unary ops
HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
2025-03-21 14:49.28 ---> 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 - x86_64 - Updates           100% | 103.3 KiB/s |  12.5 KiB |  00m00s
Fedora 41 - x86_64                     100% | 193.4 KiB/s |  26.5 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% |   5.1 MiB/s |   4.5 MiB |  00m01s
Repositories loaded.
Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed.


Nothing to do.
2025-03-21 14:49.33 ---> saved as "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 14:49.34 ---> 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
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
2025-03-21 14:50.56 ---> 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
2025-03-21 14:50.56 ---> saved as "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 14:50.56 ---> saved as "b766911cfcef799c6c2bb8aec82e30e2bd662c95ed64a05054ff7a173457d537"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..acfb0e6e94  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


<><> 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)
2025-03-21 14:52.06 ---> saved as "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 14:52.07 ---> saved as "7e95f06579daf2f8a9f219d2425e561a61d328ab09c027200da74538bbb47901"


/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)
2025-03-21 14:52.11 ---> saved as "c662d6f34b7cc78ea7f9596fd8633c27c714706696abf0deb230179c4f1adb49"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 14:52.11 ---> saved as "555e2af3f1f6b4e33264116930934cc11b3a68e741eb24b68ea3c25a73746872"


/src: (env DEPS "angstrom.0.16.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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% | 504.6 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% | 104.2 KiB/s |  28.8 KiB |  00m00s
- Running transaction
- [1/3] Verify package files              100% |   0.0   B/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  40.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 463.9 KiB/s |  34.8 KiB |  00m00s
- Complete!
+ /usr/bin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.6-3.fc41.x86_64
2025-03-21 14:52.34 ---> saved as "abdc4c5564966ea384be2de700573543d19e3544adba4f09ce4a49d721c13cd0"


/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 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- 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                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- 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_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           2.1.0
- 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 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 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 bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (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 jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (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_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (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)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (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 re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> 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 multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed cppo.1.8.0
-> installed re.1.12.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> 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 uucp.16.0.0
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed stdio.v0.17.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> 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_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> 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)
2025-03-21 14:54.46 ---> saved as "1baad0712f2c318dde6ffa8b7fd7a0bf7af1810e6f813cb83095005a7b19bbed"


/src: (copy (src .) (dst /src))
2025-03-21 14:54.46 ---> saved as "92bcec2daff4c3219f0a24eb4252ae71c7479e4283f584e001f99d74c82aa45d"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(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/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/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4d99691d605f424414575a93202f1a68/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/aa4fc0c037ee221e93e8314f45783d66/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/aa4fc0c037ee221e93e8314f45783d66/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=0.197000, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470137, epoch loss=42.961039
Batch=839, step=840, lr=0.196750, batch loss=0.446680, epoch loss=43.407719
Batch=899, step=900, lr=0.196500, batch loss=0.382734, epoch loss=43.790453
Batch=959, step=960, lr=0.196250, batch loss=0.245133, epoch loss=44.035586
Batch=1019, step=1020, lr=0.196000, batch loss=0.466533, epoch loss=44.502120
Batch=1079, step=1080, lr=0.195750, batch loss=0.248776, epoch loss=44.750896
Batch=1139, step=1140, lr=0.195500, batch loss=0.317458, epoch loss=45.068353
Batch=1199, step=1200, lr=0.195250, batch loss=0.263694, epoch loss=45.332047
Epoch=0, step=1200, lr=0.195250, epoch loss=45.332047
Batch=59, step=1260, lr=0.195000, batch loss=0.262144, epoch loss=0.262144
Batch=119, step=1320, lr=0.194750, batch loss=0.205252, epoch loss=0.467396
Batch=179, step=1380, lr=0.194250, batch loss=0.243653, epoch loss=0.711049
Batch=239, step=1440, lr=0.194250, batch loss=0.347896, epoch loss=1.058945
Batch=299, step=1500, lr=0.194000, batch loss=0.247373, epoch loss=1.306318
Batch=359, step=1560, lr=0.193500, batch loss=0.316562, epoch loss=1.622880
Batch=419, step=1620, lr=0.193250, batch loss=0.312730, epoch loss=1.935610
Batch=479, step=1680, lr=0.193250, batch loss=0.276266, epoch loss=2.211876
Batch=539, step=1740, lr=0.192750, batch loss=0.209855, epoch loss=2.421731
Batch=599, step=1800, lr=0.192750, batch loss=0.250341, epoch loss=2.672072
Batch=659, step=1860, lr=0.192500, batch loss=0.367270, epoch loss=3.039342
Batch=719, step=1920, lr=0.192250, batch loss=0.354863, epoch loss=3.394205
Batch=779, step=1980, lr=0.191750, batch loss=0.381434, epoch loss=3.775639
Batch=839, step=2040, lr=0.191500, batch loss=0.339637, epoch loss=4.115276
Batch=899, step=2100, lr=0.191250, batch loss=0.295251, epoch loss=4.410527
Batch=959, step=2160, lr=0.191000, batch loss=0.213922, epoch loss=4.624449
Batch=1019, step=2220, lr=0.190750, batch loss=0.331095, epoch loss=4.955544
Batch=1079, step=2280, lr=0.190500, batch loss=0.207861, epoch loss=5.163405
Batch=1139, step=2340, lr=0.190500, batch loss=0.268722, epoch loss=5.432128
Batch=1199, step=2400, lr=0.190000, batch loss=0.218110, epoch loss=5.650238
Epoch=1, step=2400, lr=0.190000, epoch loss=5.650238
Batch=59, step=2460, lr=0.190000, batch loss=0.229719, epoch loss=0.229719
Batch=119, step=2520, lr=0.189500, batch loss=0.196911, epoch loss=0.426630
Batch=179, step=2580, lr=0.189500, batch loss=0.219786, epoch loss=0.646417
Batch=239, step=2640, lr=0.189250, batch loss=0.326931, epoch loss=0.973348
Batch=299, step=2700, lr=0.189000, batch loss=0.203997, epoch loss=1.177345
Batch=359, step=2760, lr=0.188750, batch loss=0.294118, epoch loss=1.471463
Batch=419, step=2820, lr=0.188500, batch loss=0.283599, epoch loss=1.755062
Batch=479, step=2880, lr=0.188250, batch loss=0.261538, epoch loss=2.016600
Batch=539, step=2940, lr=0.188000, batch loss=0.200366, epoch loss=2.216966
Batch=599, step=3000, lr=0.187750, batch loss=0.244985, epoch loss=2.461951
Batch=659, step=3060, lr=0.187250, batch loss=0.344352, epoch loss=2.806303
Batch=719, step=3120, lr=0.187000, batch loss=0.341453, epoch loss=3.147756
Batch=779, step=3180, lr=0.187000, batch loss=0.366632, epoch loss=3.514388
Batch=839, step=3240, lr=0.186750, batch loss=0.321851, epoch loss=3.836238
Batch=899, step=3300, lr=0.186250, batch loss=0.284395, epoch loss=4.120634
Batch=959, step=3360, lr=0.186000, batch loss=0.215018, epoch loss=4.335652
Batch=1019, step=3420, lr=0.185750, batch loss=0.313501, epoch loss=4.649153
Batch=1079, step=3480, lr=0.185500, batch loss=0.191479, epoch loss=4.840632
Batch=1139, step=3540, lr=0.185250, batch loss=0.232429, epoch loss=5.073061
Batch=1199, step=3600, lr=0.185250, batch loss=0.197729, epoch loss=5.270790
Epoch=2, step=3600, lr=0.185250, epoch loss=5.270790
Batch=59, step=3660, lr=0.184750, batch loss=0.228421, epoch loss=0.228421
Batch=119, step=3720, lr=0.184500, batch loss=0.193540, epoch loss=0.421961
Batch=179, step=3780, lr=0.184500, batch loss=0.210880, epoch loss=0.632841
Batch=239, step=3840, lr=0.184000, batch loss=0.314402, epoch loss=0.947243
Batch=299, step=3900, lr=0.184000, batch loss=0.205613, epoch loss=1.152856
Batch=359, step=3960, lr=0.183750, batch loss=0.280938, epoch loss=1.433794
Batch=419, step=4020, lr=0.183250, batch loss=0.272807, epoch loss=1.706601
Batch=479, step=4080, lr=0.183000, batch loss=0.253444, epoch loss=1.960045
Batch=539, step=4140, lr=0.182750, batch loss=0.196212, epoch loss=2.156257
Batch=599, step=4200, lr=0.182500, batch loss=0.242373, epoch loss=2.398630
Batch=659, step=4260, lr=0.182250, batch loss=0.328133, epoch loss=2.726764
Batch=719, step=4320, lr=0.182000, batch loss=0.325495, epoch loss=3.052258
Batch=779, step=4380, lr=0.182000, batch loss=0.353091, epoch loss=3.405349
Batch=839, step=4440, lr=0.181750, batch loss=0.316353, epoch loss=3.721703
Batch=899, step=4500, lr=0.181500, batch loss=0.282901, epoch loss=4.004604
Batch=959, step=4560, lr=0.181250, batch loss=0.230398, epoch loss=4.235002
Batch=1019, step=4620, lr=0.181000, batch loss=0.335231, epoch loss=4.570233
Batch=1079, step=4680, lr=0.180500, batch loss=0.212127, epoch loss=4.782360
Batch=1139, step=4740, lr=0.180500, batch loss=0.250229, epoch loss=5.032589
Batch=1199, step=4800, lr=0.180250, batch loss=0.190680, epoch loss=5.223269
Epoch=3, step=4800, lr=0.180250, epoch loss=5.223269
Batch=59, step=4860, lr=0.180000, batch loss=0.224568, epoch loss=0.224568
Batch=119, step=4920, lr=0.179750, batch loss=0.187363, epoch loss=0.411931
Batch=179, step=4980, lr=0.179500, batch loss=0.206596, epoch loss=0.618526
Batch=239, step=5040, lr=0.179000, batch loss=0.308534, epoch loss=0.927060
Batch=299, step=5100, lr=0.178750, batch loss=0.209243, epoch loss=1.136303
Batch=359, step=5160, lr=0.178750, batch loss=0.275638, epoch loss=1.411941
Batch=419, step=5220, lr=0.178500, batch loss=0.273993, epoch loss=1.685934
Batch=479, step=5280, lr=0.178250, batch loss=0.247901, epoch loss=1.933835
Batch=539, step=5340, lr=0.178000, batch loss=0.198763, epoch loss=2.132598
Batch=599, step=5400, lr=0.177750, batch loss=0.238665, epoch loss=2.371263
Batch=659, step=5460, lr=0.177500, batch loss=0.320824, epoch loss=2.692087
Batch=719, step=5520, lr=0.177250, batch loss=0.326323, epoch loss=3.018410
Batch=779, step=5580, lr=0.177000, batch loss=0.343868, epoch loss=3.362278
Batch=839, step=5640, lr=0.176750, batch loss=0.310214, epoch loss=3.672491
Batch=899, step=5700, lr=0.176500, batch loss=0.273243, epoch loss=3.945735
Batch=959, step=5760, lr=0.176250, batch loss=0.214905, epoch loss=4.160640
Batch=1019, step=5820, lr=0.176000, batch loss=0.340731, epoch loss=4.501371
Batch=1079, step=5880, lr=0.175500, batch loss=0.205876, epoch loss=4.707247
Batch=1139, step=5940, lr=0.175500, batch loss=0.240297, epoch loss=4.947544
Batch=1199, step=6000, lr=0.175250, batch loss=0.187837, epoch loss=5.135382
Epoch=4, step=6000, lr=0.175250, epoch loss=5.135382
Batch=59, step=6060, lr=0.175000, batch loss=0.229936, epoch loss=0.229936
Batch=119, step=6120, lr=0.174750, batch loss=0.188243, epoch loss=0.418179
Batch=179, step=6180, lr=0.174500, batch loss=0.202526, epoch loss=0.620705
Batch=239, step=6240, lr=0.174250, batch loss=0.303631, epoch loss=0.924336
Batch=299, step=6300, lr=0.174000, batch loss=0.203291, epoch loss=1.127627
Batch=359, step=6360, lr=0.173750, batch loss=0.267015, epoch loss=1.394642
Batch=419, step=6420, lr=0.173250, batch loss=0.265797, epoch loss=1.660438
Batch=479, step=6480, lr=0.173250, batch loss=0.243438, epoch loss=1.903877
Batch=539, step=6540, lr=0.173000, batch loss=0.192800, epoch loss=2.096677
Batch=599, step=6600, lr=0.172750, batch loss=0.228325, epoch loss=2.325002
Batch=659, step=6660, lr=0.172500, batch loss=0.314616, epoch loss=2.639617
Batch=719, step=6720, lr=0.172250, batch loss=0.317349, epoch loss=2.956967
Batch=779, step=6780, lr=0.172000, batch loss=0.332052, epoch loss=3.289019
Batch=839, step=6840, lr=0.171500, batch loss=0.306907, epoch loss=3.595927
Batch=899, step=6900, lr=0.171250, batch loss=0.269938, epoch loss=3.865865
Batch=959, step=6960, lr=0.171250, batch loss=0.206794, epoch loss=4.072659
Batch=1019, step=7020, lr=0.171000, batch loss=0.327384, epoch loss=4.400043
Batch=1079, step=7080, lr=0.170750, batch loss=0.184444, epoch loss=4.584487
Batch=1139, step=7140, lr=0.170500, batch loss=0.215617, epoch loss=4.800104
Batch=1199, step=7200, lr=0.170250, batch loss=0.181968, epoch loss=4.982072
Epoch=5, step=7200, lr=0.170250, epoch loss=4.982072
Batch=59, step=7260, lr=0.169750, batch loss=0.228686, epoch loss=0.228686
Batch=119, step=7320, lr=0.169750, batch loss=0.188014, epoch loss=0.416700
Batch=179, step=7380, lr=0.169250, batch loss=0.195471, epoch loss=0.612171
Batch=239, step=7440, lr=0.169250, batch loss=0.293567, epoch loss=0.905738
Batch=299, step=7500, lr=0.169000, batch loss=0.205923, epoch loss=1.111661
Batch=359, step=7560, lr=0.168500, batch loss=0.262979, epoch loss=1.374640
Batch=419, step=7620, lr=0.168250, batch loss=0.254059, epoch loss=1.628699
Batch=479, step=7680, lr=0.168250, batch loss=0.232945, epoch loss=1.861644
Batch=539, step=7740, lr=0.168000, batch loss=0.183899, epoch loss=2.045543
Batch=599, step=7800, lr=0.167750, batch loss=0.218958, epoch loss=2.264502
Batch=659, step=7860, lr=0.167500, batch loss=0.306332, epoch loss=2.570834
Batch=719, step=7920, lr=0.167000, batch loss=0.308066, epoch loss=2.878900
Batch=779, step=7980, lr=0.167000, batch loss=0.321251, epoch loss=3.200151
Batch=839, step=8040, lr=0.166750, batch loss=0.296872, epoch loss=3.497023
Batch=899, step=8100, lr=0.166250, batch loss=0.263496, epoch loss=3.760519
Batch=959, step=8160, lr=0.166250, batch loss=0.209415, epoch loss=3.969934
Batch=1019, step=8220, lr=0.165750, batch loss=0.318352, epoch loss=4.288286
Batch=1079, step=8280, lr=0.165750, batch loss=0.169481, epoch loss=4.457768
Batch=1139, step=8340, lr=0.165500, batch loss=0.207674, epoch loss=4.665442
Batch=1199, step=8400, lr=0.165250, batch loss=0.179733, epoch loss=4.845174
Epoch=6, step=8400, lr=0.165250, epoch loss=4.845174
Batch=59, step=8460, lr=0.165000, batch loss=0.226393, epoch loss=0.226393
Batch=119, step=8520, lr=0.164750, batch loss=0.177971, epoch loss=0.404364
Batch=179, step=8580, lr=0.164500, batch loss=0.187145, epoch loss=0.591508
Batch=239, step=8640, lr=0.164250, batch loss=0.276973, epoch loss=0.868482
Batch=299, step=8700, lr=0.164000, batch loss=0.184757, epoch loss=1.053238
Batch=359, step=8760, lr=0.163750, batch loss=0.248485, epoch loss=1.301724
Batch=419, step=8820, lr=0.163500, batch loss=0.244807, epoch loss=1.546530
Batch=479, step=8880, lr=0.163250, batch loss=0.227846, epoch loss=1.774376
Batch=539, step=8940, lr=0.163000, batch loss=0.180350, epoch loss=1.954726
Batch=599, step=9000, lr=0.162750, batch loss=0.216459, epoch loss=2.171185
Batch=659, step=9060, lr=0.162250, batch loss=0.294297, epoch loss=2.465482
Batch=719, step=9120, lr=0.162000, batch loss=0.295522, epoch loss=2.761004
Batch=779, step=9180, lr=0.162000, batch loss=0.316279, epoch loss=3.077283
Batch=839, step=9240, lr=0.161750, batch loss=0.286943, epoch loss=3.364226
Batch=899, step=9300, lr=0.161500, batch loss=0.250559, epoch loss=3.614784
Batch=959, step=9360, lr=0.161250, batch loss=0.190097, epoch loss=3.804882
Batch=1019, step=9420, lr=0.161000, batch loss=0.311376, epoch loss=4.116258
Batch=1079, step=9480, lr=0.160750, batch loss=0.188581, epoch loss=4.304839
Batch=1139, step=9540, lr=0.160250, batch loss=0.211887, epoch loss=4.516726
Batch=1199, step=9600, lr=0.160000, batch loss=0.165931, epoch loss=4.682657
Epoch=7, step=9600, lr=0.160000, epoch loss=4.682657
Batch=59, step=9660, lr=0.160000, batch loss=0.202259, epoch loss=0.202259
Batch=119, step=9720, lr=0.159500, batch loss=0.169637, epoch loss=0.371896
Batch=179, step=9780, lr=0.159500, batch loss=0.179924, epoch loss=0.551820
Batch=239, step=9840, lr=0.159250, batch loss=0.261823, epoch loss=0.813643
Batch=299, step=9900, lr=0.159000, batch loss=0.183808, epoch loss=0.997451
Batch=359, step=9960, lr=0.158750, batch loss=0.241919, epoch loss=1.239370
Batch=419, step=10020, lr=0.158500, batch loss=0.233810, epoch loss=1.473180
Batch=479, step=10080, lr=0.158000, batch loss=0.220062, epoch loss=1.693241
Batch=539, step=10140, lr=0.158000, batch loss=0.169832, epoch loss=1.863073
Batch=599, step=10200, lr=0.157750, batch loss=0.202683, epoch loss=2.065756
Batch=659, step=10260, lr=0.157500, batch loss=0.281077, epoch loss=2.346833
Batch=719, step=10320, lr=0.157250, batch loss=0.287088, epoch loss=2.633921
Batch=779, step=10380, lr=0.157000, batch loss=0.295013, epoch loss=2.928935
Batch=839, step=10440, lr=0.156500, batch loss=0.266411, epoch loss=3.195345
Batch=899, step=10500, lr=0.156250, batch loss=0.241898, epoch loss=3.437243
Batch=959, step=10560, lr=0.156250, batch loss=0.196632, epoch loss=3.633875
Batch=1019, step=10620, lr=0.155750, batch loss=0.280880, epoch loss=3.914755
Batch=1079, step=10680, lr=0.155500, batch loss=0.175157, epoch loss=4.089912
Batch=1139, step=10740, lr=0.155500, batch loss=0.202195, epoch loss=4.292107
Batch=1199, step=10800, lr=0.155000, batch loss=0.154100, epoch loss=4.446207
Epoch=8, step=10800, lr=0.155000, epoch loss=4.446207
Batch=59, step=10860, lr=0.154750, batch loss=0.178091, epoch loss=0.178091
Batch=119, step=10920, lr=0.154750, batch loss=0.151633, epoch loss=0.329725
Batch=179, step=10980, lr=0.154500, batch loss=0.166502, epoch loss=0.496226
Batch=239, step=11040, lr=0.154000, batch loss=0.245810, epoch loss=0.742036
Batch=299, step=11100, lr=0.154000, batch loss=0.158691, epoch loss=0.900727
Batch=359, step=11160, lr=0.153750, batch loss=0.213349, epoch loss=1.114076
Batch=419, step=11220, lr=0.153500, batch loss=0.207700, epoch loss=1.321776
Batch=479, step=11280, lr=0.153250, batch loss=0.194303, epoch loss=1.516079
Batch=539, step=11340, lr=0.152750, batch loss=0.156796, epoch loss=1.672874
Batch=599, step=11400, lr=0.152500, batch loss=0.177504, epoch loss=1.850378
Batch=659, step=11460, lr=0.152250, batch loss=0.263122, epoch loss=2.113500
Batch=719, step=11520, lr=0.152250, batch loss=0.263262, epoch loss=2.376763
Batch=779, step=11580, lr=0.151750, batch loss=0.270625, epoch loss=2.647388
Batch=839, step=11640, lr=0.151500, batch loss=0.249819, epoch loss=2.897207
Batch=899, step=11700, lr=0.151250, batch loss=0.217456, epoch loss=3.114662
Batch=959, step=11760, lr=0.151000, batch loss=0.190288, epoch loss=3.304950
Batch=1019, step=11820, lr=0.151000, batch loss=0.290499, epoch loss=3.595449
Batch=1079, step=11880, lr=0.150500, batch loss=0.149457, epoch loss=3.744906
Batch=1139, step=11940, lr=0.150500, batch loss=0.187359, epoch loss=3.932265
Batch=1199, step=12000, lr=0.150250, batch loss=0.138357, epoch loss=4.070622
Epoch=9, step=12000, lr=0.150250, epoch loss=4.070622
Batch=59, step=12060, lr=0.149750, batch loss=0.156350, epoch loss=0.156350
Batch=119, step=12120, lr=0.149500, batch loss=0.126604, epoch loss=0.282954
Batch=179, step=12180, lr=0.149500, batch loss=0.150734, epoch loss=0.433688
Batch=239, step=12240, lr=0.149000, batch loss=0.220750, epoch loss=0.654438
Batch=299, step=12300, lr=0.148750, batch loss=0.142519, epoch loss=0.796957
Batch=359, step=12360, lr=0.148750, batch loss=0.194400, epoch loss=0.991358
Batch=419, step=12420, lr=0.148250, batch loss=0.206627, epoch loss=1.197985
Batch=479, step=12480, lr=0.148000, batch loss=0.177365, epoch loss=1.375350
Batch=539, step=12540, lr=0.147750, batch loss=0.142651, epoch loss=1.518001
Batch=599, step=12600, lr=0.147500, batch loss=0.153113, epoch loss=1.671114
Batch=659, step=12660, lr=0.147250, batch loss=0.233159, epoch loss=1.904273
Batch=719, step=12720, lr=0.147000, batch loss=0.232777, epoch loss=2.137050
Batch=779, step=12780, lr=0.147000, batch loss=0.259995, epoch loss=2.397045
Batch=839, step=12840, lr=0.146500, batch loss=0.230168, epoch loss=2.627213
Batch=899, step=12900, lr=0.146250, batch loss=0.208417, epoch loss=2.835630
Batch=959, step=12960, lr=0.146000, batch loss=0.156265, epoch loss=2.991895
Batch=1019, step=13020, lr=0.146000, batch loss=0.257014, epoch loss=3.248909
Batch=1079, step=13080, lr=0.145500, batch loss=0.115802, epoch loss=3.364711
Batch=1139, step=13140, lr=0.145250, batch loss=0.153102, epoch loss=3.517813
Batch=1199, step=13200, lr=0.145250, batch loss=0.116845, epoch loss=3.634658
Epoch=10, step=13200, lr=0.145250, epoch loss=3.634658
Batch=59, step=13260, lr=0.145000, batch loss=0.144085, epoch loss=0.144085
Batch=119, step=13320, lr=0.144500, batch loss=0.123946, epoch loss=0.268031
Batch=179, step=13380, lr=0.144250, batch loss=0.129950, epoch loss=0.397982
Batch=239, step=13440, lr=0.144000, batch loss=0.189553, epoch loss=0.587535
Batch=299, step=13500, lr=0.143750, batch loss=0.110664, epoch loss=0.698199
Batch=359, step=13560, lr=0.143750, batch loss=0.161722, epoch loss=0.859921
Batch=419, step=13620, lr=0.143250, batch loss=0.159732, epoch loss=1.019653
Batch=479, step=13680, lr=0.143250, batch loss=0.146005, epoch loss=1.165659
Batch=539, step=13740, lr=0.143000, batch loss=0.116029, epoch loss=1.281687
Batch=599, step=13800, lr=0.142500, batch loss=0.119146, epoch loss=1.400834
Batch=659, step=13860, lr=0.142500, batch loss=0.175339, epoch loss=1.576173
Batch=719, step=13920, lr=0.142250, batch loss=0.171729, epoch loss=1.747902
Batch=779, step=13980, lr=0.141750, batch loss=0.177817, epoch loss=1.925719
Batch=839, step=14040, lr=0.141750, batch loss=0.201017, epoch loss=2.126736
Batch=899, step=14100, lr=0.141250, batch loss=0.221653, epoch loss=2.348389
Batch=959, step=14160, lr=0.141000, batch loss=0.107622, epoch loss=2.456011
Batch=1019, step=14220, lr=0.140750, batch loss=0.187749, epoch loss=2.643760
Batch=1079, step=14280, lr=0.140500, batch loss=0.083377, epoch loss=2.727137
Batch=1139, step=14340, lr=0.140250, batch loss=0.137799, epoch loss=2.864936
Batch=1199, step=14400, lr=0.140250, batch loss=0.087504, epoch loss=2.952440
Epoch=11, step=14400, lr=0.140250, epoch loss=2.952440
Batch=59, step=14460, lr=0.139750, batch loss=0.112882, epoch loss=0.112882
Batch=119, step=14520, lr=0.139500, batch loss=0.108906, epoch loss=0.221788
Batch=179, step=14580, lr=0.139250, batch loss=0.102742, epoch loss=0.324529
Batch=239, step=14640, lr=0.139000, batch loss=0.136841, epoch loss=0.461371
Batch=299, step=14700, lr=0.138750, batch loss=0.080949, epoch loss=0.542319
Batch=359, step=14760, lr=0.138500, batch loss=0.130053, epoch loss=0.672372
Batch=419, step=14820, lr=0.138500, batch loss=0.157184, epoch loss=0.829556
Batch=479, step=14880, lr=0.138250, batch loss=0.084541, epoch loss=0.914097
Batch=539, step=14940, lr=0.138000, batch loss=0.067667, epoch loss=0.981763
Batch=599, step=15000, lr=0.137750, batch loss=0.089025, epoch loss=1.070789
Batch=659, step=15060, lr=0.137500, batch loss=0.165056, epoch loss=1.235845
Batch=719, step=15120, lr=0.137250, batch loss=0.137019, epoch loss=1.372864
Batch=779, step=15180, lr=0.136750, batch loss=0.197003, epoch loss=1.569867
Batch=839, step=15240, lr=0.136500, batch loss=0.152985, epoch loss=1.722852
Batch=899, step=15300, lr=0.136250, batch loss=0.159628, epoch loss=1.882480
Batch=959, step=15360, lr=0.136250, batch loss=0.075608, epoch loss=1.958088
Batch=1019, step=15420, lr=0.136000, batch loss=0.164105, epoch loss=2.122193
Batch=1079, step=15480, lr=0.135500, batch loss=0.039449, epoch loss=2.161643
Batch=1139, step=15540, lr=0.135250, batch loss=0.093994, epoch loss=2.255636
Batch=1199, step=15600, lr=0.135250, batch loss=0.055283, epoch loss=2.310919
Epoch=12, step=15600, lr=0.135250, epoch loss=2.310919
Batch=59, step=15660, lr=0.135000, batch loss=0.079871, epoch loss=0.079871
Batch=119, step=15720, lr=0.134500, batch loss=0.136828, epoch loss=0.216699
Batch=179, step=15780, lr=0.134500, batch loss=0.095390, epoch loss=0.312089
Batch=239, step=15840, lr=0.134250, batch loss=0.093728, epoch loss=0.405817
Batch=299, step=15900, lr=0.134000, batch loss=0.044201, epoch loss=0.450018
Batch=359, step=15960, lr=0.133500, batch loss=0.077747, epoch loss=0.527765
Batch=419, step=16020, lr=0.133500, batch loss=0.082297, epoch loss=0.610062
Batch=479, step=16080, lr=0.133000, batch loss=0.068591, epoch loss=0.678653
Batch=539, step=16140, lr=0.132750, batch loss=0.052483, epoch loss=0.731136
Batch=599, step=16200, lr=0.132500, batch loss=0.097444, epoch loss=0.828580
Batch=659, step=16260, lr=0.132250, batch loss=0.075619, epoch loss=0.904199
Batch=719, step=16320, lr=0.132000, batch loss=0.067980, epoch loss=0.972179
Batch=779, step=16380, lr=0.131750, batch loss=0.083033, epoch loss=1.055212
Batch=839, step=16440, lr=0.131750, batch loss=0.106301, epoch loss=1.161513
Batch=899, step=16500, lr=0.131500, batch loss=0.164727, epoch loss=1.326241
Batch=959, step=16560, lr=0.131250, batch loss=0.045813, epoch loss=1.372054
Batch=1019, step=16620, lr=0.131000, batch loss=0.119195, epoch loss=1.491249
Batch=1079, step=16680, lr=0.130750, batch loss=0.021825, epoch loss=1.513074
Batch=1139, step=16740, lr=0.130500, batch loss=0.050663, epoch loss=1.563737
Batch=1199, step=16800, lr=0.130000, batch loss=0.026723, epoch loss=1.590460
Epoch=13, step=16800, lr=0.130000, epoch loss=1.590460
Batch=59, step=16860, lr=0.129750, batch loss=0.033749, epoch loss=0.033749
Batch=119, step=16920, lr=0.129500, batch loss=0.050760, epoch loss=0.084509
Batch=179, step=16980, lr=0.129250, batch loss=0.045152, epoch loss=0.129661
Batch=239, step=17040, lr=0.129250, batch loss=0.071952, epoch loss=0.201612
Batch=299, step=17100, lr=0.128750, batch loss=0.079094, epoch loss=0.280706
Batch=359, step=17160, lr=0.128500, batch loss=0.051709, epoch loss=0.332415
Batch=419, step=17220, lr=0.128500, batch loss=0.052840, epoch loss=0.385255
Batch=479, step=17280, lr=0.128000, batch loss=0.026573, epoch loss=0.411828
Batch=539, step=17340, lr=0.127750, batch loss=0.033265, epoch loss=0.445093
Batch=599, step=17400, lr=0.127500, batch loss=0.033727, epoch loss=0.478820
Batch=659, step=17460, lr=0.127250, batch loss=0.045707, epoch loss=0.524527
Batch=719, step=17520, lr=0.127000, batch loss=0.053596, epoch loss=0.578122
Batch=779, step=17580, lr=0.127000, batch loss=0.136148, epoch loss=0.714270
Batch=839, step=17640, lr=0.126750, batch loss=0.105527, epoch loss=0.819797
Batch=899, step=17700, lr=0.126250, batch loss=0.149126, epoch loss=0.968923
Batch=959, step=17760, lr=0.126250, batch loss=0.019774, epoch loss=0.988697
Batch=1019, step=17820, lr=0.125750, batch loss=0.034247, epoch loss=1.022943
Batch=1079, step=17880, lr=0.125500, batch loss=0.009513, epoch loss=1.032456
Batch=1139, step=17940, lr=0.125250, batch loss=0.029854, epoch loss=1.062310
Batch=1199, step=18000, lr=0.125000, batch loss=0.013861, epoch loss=1.076171
Epoch=14, step=18000, lr=0.125000, epoch loss=1.076171
Batch=59, step=18060, lr=0.124750, batch loss=0.011203, epoch loss=0.011203
Batch=119, step=18120, lr=0.124500, batch loss=0.018646, epoch loss=0.029849
Batch=179, step=18180, lr=0.124500, batch loss=0.031009, epoch loss=0.060858
Batch=239, step=18240, lr=0.124000, batch loss=0.034620, epoch loss=0.095479
Batch=299, step=18300, lr=0.124000, batch loss=0.009625, epoch loss=0.105103
Batch=359, step=18360, lr=0.123500, batch loss=0.022332, epoch loss=0.127435
Batch=419, step=18420, lr=0.123250, batch loss=0.025681, epoch loss=0.153116
Batch=479, step=18480, lr=0.123000, batch loss=0.010187, epoch loss=0.163303
Batch=539, step=18540, lr=0.122750, batch loss=0.021119, epoch loss=0.184421
Batch=599, step=18600, lr=0.122500, batch loss=0.032049, epoch loss=0.216470
Batch=659, step=18660, lr=0.122250, batch loss=0.024019, epoch loss=0.240490
Batch=719, step=18720, lr=0.122250, batch loss=0.028804, epoch loss=0.269293
Batch=779, step=18780, lr=0.122000, batch loss=0.071150, epoch loss=0.340443
Batch=839, step=18840, lr=0.121500, batch loss=0.133125, epoch loss=0.473568
Batch=899, step=18900, lr=0.121250, batch loss=0.035452, epoch loss=0.509019
Batch=959, step=18960, lr=0.121250, batch loss=0.013655, epoch loss=0.522675
Batch=1019, step=19020, lr=0.121000, batch loss=0.024649, epoch loss=0.547323
Batch=1079, step=19080, lr=0.120750, batch loss=0.009138, epoch loss=0.556461
Batch=1139, step=19140, lr=0.120500, batch loss=0.023093, epoch loss=0.579553
Batch=1199, step=19200, lr=0.120250, batch loss=0.010937, epoch loss=0.590491
Epoch=15, step=19200, lr=0.120250, epoch loss=0.590491
Batch=59, step=19260, lr=0.120000, batch loss=0.005191, epoch loss=0.005191
Batch=119, step=19320, lr=0.119500, batch loss=0.015264, epoch loss=0.020455
Batch=179, step=19380, lr=0.119250, batch loss=0.039808, epoch loss=0.060263
Batch=239, step=19440, lr=0.119250, batch loss=0.022173, epoch loss=0.082436
Batch=299, step=19500, lr=0.119000, batch loss=0.004915, epoch loss=0.087351
Batch=359, step=19560, lr=0.118500, batch loss=0.018016, epoch loss=0.105368
Batch=419, step=19620, lr=0.118250, batch loss=0.018409, epoch loss=0.123776
Batch=479, step=19680, lr=0.118000, batch loss=0.006473, epoch loss=0.130249
Batch=539, step=19740, lr=0.117750, batch loss=0.016282, epoch loss=0.146531
Batch=599, step=19800, lr=0.117500, batch loss=0.022476, epoch loss=0.169007
Batch=659, step=19860, lr=0.117500, batch loss=0.017575, epoch loss=0.186582
Batch=719, step=19920, lr=0.117000, batch loss=0.040718, epoch loss=0.227300
Batch=779, step=19980, lr=0.116750, batch loss=0.077120, epoch loss=0.304420
Batch=839, step=20040, lr=0.116750, batch loss=0.031708, epoch loss=0.336128
Batch=899, step=20100, lr=0.116250, batch loss=0.027853, epoch loss=0.363981
Batch=959, step=20160, lr=0.116250, batch loss=0.011606, epoch loss=0.375587
Batch=1019, step=20220, lr=0.116000, batch loss=0.015876, epoch loss=0.391464
Batch=1079, step=20280, lr=0.115500, batch loss=0.002273, epoch loss=0.393737
Batch=1139, step=20340, lr=0.115500, batch loss=0.014453, epoch loss=0.408189
Batch=1199, step=20400, lr=0.115250, batch loss=0.005987, epoch loss=0.414177
Epoch=16, step=20400, lr=0.115250, epoch loss=0.414177
Batch=59, step=20460, lr=0.115000, batch loss=0.003443, epoch loss=0.003443
Batch=119, step=20520, lr=0.114750, batch loss=0.008352, epoch loss=0.011796
Batch=179, step=20580, lr=0.114500, batch loss=0.017715, epoch loss=0.029511
Batch=239, step=20640, lr=0.114000, batch loss=0.025258, epoch loss=0.054768
Batch=299, step=20700, lr=0.114000, batch loss=0.019120, epoch loss=0.073889
Batch=359, step=20760, lr=0.113500, batch loss=0.019067, epoch loss=0.092956
Batch=419, step=20820, lr=0.113250, batch loss=0.015240, epoch loss=0.108195
Batch=479, step=20880, lr=0.113250, batch loss=0.003120, epoch loss=0.111316
Batch=539, step=20940, lr=0.113000, batch loss=0.018030, epoch loss=0.129346
Batch=599, step=21000, lr=0.112750, batch loss=0.021688, epoch loss=0.151034
Batch=659, step=21060, lr=0.112500, batch loss=0.015353, epoch loss=0.166387
Batch=719, step=21120, lr=0.112250, batch loss=0.038800, epoch loss=0.205186
Batch=779, step=21180, lr=0.112000, batch loss=0.073627, epoch loss=0.278814
Batch=839, step=21240, lr=0.111750, batch loss=0.026021, epoch loss=0.304834
Batch=899, step=21300, lr=0.111500, batch loss=0.036227, epoch loss=0.341062
Batch=959, step=21360, lr=0.111250, batch loss=0.010476, epoch loss=0.351538
Batch=1019, step=21420, lr=0.110750, batch loss=0.010677, epoch loss=0.362215
Batch=1079, step=21480, lr=0.110750, batch loss=0.001192, epoch loss=0.363407
Batch=1139, step=21540, lr=0.110500, batch loss=0.013135, epoch loss=0.376541
Batch=1199, step=21600, lr=0.110250, batch loss=0.005306, epoch loss=0.381847
Epoch=17, step=21600, lr=0.110250, epoch loss=0.381847
Batch=59, step=21660, lr=0.110000, batch loss=0.002149, epoch loss=0.002149
Batch=119, step=21720, lr=0.109500, batch loss=0.006607, epoch loss=0.008756
Batch=179, step=21780, lr=0.109250, batch loss=0.012895, epoch loss=0.021652
Batch=239, step=21840, lr=0.109250, batch loss=0.011089, epoch loss=0.032740
Batch=299, step=21900, lr=0.109000, batch loss=0.011420, epoch loss=0.044160
Batch=359, step=21960, lr=0.108750, batch loss=0.013471, epoch loss=0.057632
Batch=419, step=22020, lr=0.108500, batch loss=0.012690, epoch loss=0.070322
Batch=479, step=22080, lr=0.108000, batch loss=0.002626, epoch loss=0.072948
Batch=539, step=22140, lr=0.108000, batch loss=0.018009, epoch loss=0.090957
Batch=599, step=22200, lr=0.107500, batch loss=0.017580, epoch loss=0.108537
Batch=659, step=22260, lr=0.107500, batch loss=0.016120, epoch loss=0.124657
Batch=719, step=22320, lr=0.107250, batch loss=0.021851, epoch loss=0.146509
Batch=779, step=22380, lr=0.106750, batch loss=0.030048, epoch loss=0.176556
Batch=839, step=22440, lr=0.106500, batch loss=0.029995, epoch loss=0.206551
Batch=899, step=22500, lr=0.106500, batch loss=0.023902, epoch loss=0.230452
Batch=959, step=22560, lr=0.106250, batch loss=0.011097, epoch loss=0.241549
Batch=1019, step=22620, lr=0.106000, batch loss=0.013612, epoch loss=0.255161
Batch=1079, step=22680, lr=0.105750, batch loss=0.001581, epoch loss=0.256742
Batch=1139, step=22740, lr=0.105500, batch loss=0.010524, epoch loss=0.267267
Batch=1199, step=22800, lr=0.105250, batch loss=0.005752, epoch loss=0.273019
Epoch=18, step=22800, lr=0.105250, epoch loss=0.273019
Batch=59, step=22860, lr=0.105000, batch loss=0.002747, epoch loss=0.002747
Batch=119, step=22920, lr=0.104500, batch loss=0.004724, epoch loss=0.007471
Batch=179, step=22980, lr=0.104250, batch loss=0.013455, epoch loss=0.020926
Batch=239, step=23040, lr=0.104250, batch loss=0.008848, epoch loss=0.029773
Batch=299, step=23100, lr=0.103750, batch loss=0.003690, epoch loss=0.033463
Batch=359, step=23160, lr=0.103500, batch loss=0.012248, epoch loss=0.045711
Batch=419, step=23220, lr=0.103500, batch loss=0.010942, epoch loss=0.056653
Batch=479, step=23280, lr=0.103250, batch loss=0.003373, epoch loss=0.060026
Batch=539, step=23340, lr=0.103000, batch loss=0.015378, epoch loss=0.075404
Batch=599, step=23400, lr=0.102750, batch loss=0.013661, epoch loss=0.089065
Batch=659, step=23460, lr=0.102250, batch loss=0.012174, epoch loss=0.101239
Batch=719, step=23520, lr=0.102000, batch loss=0.017252, epoch loss=0.118491
Batch=779, step=23580, lr=0.101750, batch loss=0.019800, epoch loss=0.138291
Batch=839, step=23640, lr=0.101750, batch loss=0.024864, epoch loss=0.163155
Batch=899, step=23700, lr=0.101250, batch loss=0.022640, epoch loss=0.185795
Batch=959, step=23760, lr=0.101000, batch loss=0.007864, epoch loss=0.193659
Batch=1019, step=23820, lr=0.100750, batch loss=0.008405, epoch loss=0.202064
Batch=1079, step=23880, lr=0.100500, batch loss=0.001705, epoch loss=0.203769
Batch=1139, step=23940, lr=0.100500, batch loss=0.007977, epoch loss=0.211747
Batch=1199, step=24000, lr=0.100000, batch loss=0.004792, epoch loss=0.216538
Epoch=19, step=24000, lr=0.100000, epoch loss=0.216538


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 14:56.09 ---> saved as "988674ed3c1c2eccb2aa4e2486506fac7655e7967ff7ab2f25b38a72bb6f81a7"
Job succeeded
2025-03-21 14:56.10: Job succeeded