fedora-41-5.3_opam-2.3

2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (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 f874a4ef
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 12:35.26: 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 12:35.26: 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 12:35.26: Waiting for resource in pool OCluster
2025-03-21 12:35.27: Waiting for worker…
2025-03-21 12:36.00: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings
HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:fdc2429ee5b38ad9a34e9df8dcce7161f1b807433a983120453cb37a7b29e925)
2025-03-21 12:38.17 ---> 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% |  42.0 KiB/s |   9.4 KiB |  00m00s
Fedora 41 - x86_64                     100% | 193.4 KiB/s |  26.5 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% |   3.3 MiB/s |   4.7 MiB |  00m01s
Repositories loaded.
Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed.


Nothing to do.
2025-03-21 12:38.26 ---> saved as "947881be467bcf2fd69517dfbab49f9c08bd1fde805595ee55ebf2224778ca57"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 12:38.27 ---> 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.


Continue? [y/n] y
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.


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 12:40.25 ---> 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 12:40.25 ---> saved as "2024869fea33faf19369ee49d7e2bfcec68103aae198063a36b6d1df2607faff"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 12:40.26 ---> 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..6cf83229dd  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 12:42.05 ---> saved as "ece3a959e2ef17442b29b6ddfc99e8140b85a2f969c4a3b7d543a174bcd5db3d"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 12:42.05 ---> 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 12:42.10 ---> saved as "c662d6f34b7cc78ea7f9596fd8633c27c714706696abf0deb230179c4f1adb49"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 12:42.10 ---> 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% | 542.7 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% | 115.5 KiB/s |  28.8 KiB |  00m00s
- Running transaction
- [1/3] Verify package files              100% |   1.0 KiB/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  23.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 322.2 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 12:42.50 ---> 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 angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigarray-compat.1.1.0  (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 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)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> 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 sexplib0.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed 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 printbox.0.12
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> 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 fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed printbox-text.0.12
-> installed ctypes-foreign.0.23.0
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> 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 12:46.11 ---> saved as "1baad0712f2c318dde6ffa8b7fd7a0bf7af1810e6f813cb83095005a7b19bbed"


/src: (copy (src .) (dst /src))
2025-03-21 12:46.11 ---> saved as "88d082284a76d6c4f4f83007bb266eb1bee5ba5294f54e39fe6157915ee867bd"


/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/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/daf65639b1b453763a32a478145882bd/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/df3500ba2856b25ebd444550a4496ee5/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/df3500ba2856b25ebd444550a4496ee5/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=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199250, batch loss=0.845226, epoch loss=35.615435
Batch=299, step=300, lr=0.198750, batch loss=1.458357, epoch loss=37.073792
Batch=359, step=360, lr=0.198750, batch loss=1.324006, epoch loss=38.397798
Batch=419, step=420, lr=0.198500, batch loss=0.623555, epoch loss=39.021353
Batch=479, step=480, lr=0.198000, batch loss=0.814796, epoch loss=39.836150
Batch=539, step=540, lr=0.198000, batch loss=0.701733, epoch loss=40.537882
Batch=599, step=600, lr=0.197750, batch loss=1.070373, epoch loss=41.608255
Batch=659, step=660, lr=0.197500, batch loss=0.483381, epoch loss=42.091636
Batch=719, step=720, lr=0.197250, batch loss=0.411592, epoch loss=42.503228
Batch=779, step=780, lr=0.197000, batch loss=0.469624, epoch loss=42.972853
Batch=839, step=840, lr=0.196750, batch loss=0.443952, epoch loss=43.416804
Batch=899, step=900, lr=0.196500, batch loss=0.384347, epoch loss=43.801151
Batch=959, step=960, lr=0.196000, batch loss=0.238206, epoch loss=44.039357
Batch=1019, step=1020, lr=0.195750, batch loss=0.440435, epoch loss=44.479792
Batch=1079, step=1080, lr=0.195750, batch loss=0.225627, epoch loss=44.705420
Batch=1139, step=1140, lr=0.195250, batch loss=0.315751, epoch loss=45.021171
Batch=1199, step=1200, lr=0.195000, batch loss=0.263473, epoch loss=45.284644
Epoch=0, step=1200, lr=0.195000, epoch loss=45.284644
Batch=59, step=1260, lr=0.194750, batch loss=0.262365, epoch loss=0.262365
Batch=119, step=1320, lr=0.194500, batch loss=0.205655, epoch loss=0.468020
Batch=179, step=1380, lr=0.194250, batch loss=0.242552, epoch loss=0.710572
Batch=239, step=1440, lr=0.194000, batch loss=0.347105, epoch loss=1.057677
Batch=299, step=1500, lr=0.194000, batch loss=0.253322, epoch loss=1.311000
Batch=359, step=1560, lr=0.193500, batch loss=0.318725, epoch loss=1.629725
Batch=419, step=1620, lr=0.193250, batch loss=0.311703, epoch loss=1.941428
Batch=479, step=1680, lr=0.193000, batch loss=0.277533, epoch loss=2.218961
Batch=539, step=1740, lr=0.192750, batch loss=0.214392, epoch loss=2.433353
Batch=599, step=1800, lr=0.192500, batch loss=0.259364, epoch loss=2.692717
Batch=659, step=1860, lr=0.192250, batch loss=0.378720, epoch loss=3.071437
Batch=719, step=1920, lr=0.192250, batch loss=0.355364, epoch loss=3.426801
Batch=779, step=1980, lr=0.191750, batch loss=0.382726, epoch loss=3.809527
Batch=839, step=2040, lr=0.191500, batch loss=0.340819, epoch loss=4.150345
Batch=899, step=2100, lr=0.191250, batch loss=0.295014, epoch loss=4.445360
Batch=959, step=2160, lr=0.191000, batch loss=0.219882, epoch loss=4.665241
Batch=1019, step=2220, lr=0.190750, batch loss=0.325488, epoch loss=4.990729
Batch=1079, step=2280, lr=0.190500, batch loss=0.202040, epoch loss=5.192769
Batch=1139, step=2340, lr=0.190500, batch loss=0.267184, epoch loss=5.459953
Batch=1199, step=2400, lr=0.190000, batch loss=0.215034, epoch loss=5.674987
Epoch=1, step=2400, lr=0.190000, epoch loss=5.674987
Batch=59, step=2460, lr=0.189750, batch loss=0.226976, epoch loss=0.226976
Batch=119, step=2520, lr=0.189500, batch loss=0.186319, epoch loss=0.413295
Batch=179, step=2580, lr=0.189500, batch loss=0.217813, epoch loss=0.631109
Batch=239, step=2640, lr=0.189000, batch loss=0.326633, epoch loss=0.957742
Batch=299, step=2700, lr=0.188750, batch loss=0.220444, epoch loss=1.178186
Batch=359, step=2760, lr=0.188500, batch loss=0.298618, epoch loss=1.476804
Batch=419, step=2820, lr=0.188250, batch loss=0.288146, epoch loss=1.764950
Batch=479, step=2880, lr=0.188000, batch loss=0.261589, epoch loss=2.026539
Batch=539, step=2940, lr=0.187750, batch loss=0.202824, epoch loss=2.229363
Batch=599, step=3000, lr=0.187750, batch loss=0.252546, epoch loss=2.481909
Batch=659, step=3060, lr=0.187500, batch loss=0.344762, epoch loss=2.826671
Batch=719, step=3120, lr=0.187000, batch loss=0.346320, epoch loss=3.172991
Batch=779, step=3180, lr=0.187000, batch loss=0.363584, epoch loss=3.536574
Batch=839, step=3240, lr=0.186750, batch loss=0.324277, epoch loss=3.860852
Batch=899, step=3300, lr=0.186500, batch loss=0.295276, epoch loss=4.156128
Batch=959, step=3360, lr=0.186250, batch loss=0.244736, epoch loss=4.400864
Batch=1019, step=3420, lr=0.185750, batch loss=0.367324, epoch loss=4.768188
Batch=1079, step=3480, lr=0.185500, batch loss=0.226063, epoch loss=4.994251
Batch=1139, step=3540, lr=0.185500, batch loss=0.262773, epoch loss=5.257024
Batch=1199, step=3600, lr=0.185250, batch loss=0.200349, epoch loss=5.457373
Epoch=2, step=3600, lr=0.185250, epoch loss=5.457373
Batch=59, step=3660, lr=0.185000, batch loss=0.222283, epoch loss=0.222283
Batch=119, step=3720, lr=0.184750, batch loss=0.185295, epoch loss=0.407579
Batch=179, step=3780, lr=0.184500, batch loss=0.212312, epoch loss=0.619891
Batch=239, step=3840, lr=0.184250, batch loss=0.315693, epoch loss=0.935585
Batch=299, step=3900, lr=0.184000, batch loss=0.204799, epoch loss=1.140384
Batch=359, step=3960, lr=0.183750, batch loss=0.288441, epoch loss=1.428825
Batch=419, step=4020, lr=0.183500, batch loss=0.273856, epoch loss=1.702680
Batch=479, step=4080, lr=0.183250, batch loss=0.251367, epoch loss=1.954047
Batch=539, step=4140, lr=0.183000, batch loss=0.191527, epoch loss=2.145574
Batch=599, step=4200, lr=0.182750, batch loss=0.234379, epoch loss=2.379952
Batch=659, step=4260, lr=0.182500, batch loss=0.332871, epoch loss=2.712823
Batch=719, step=4320, lr=0.182000, batch loss=0.344407, epoch loss=3.057230
Batch=779, step=4380, lr=0.182000, batch loss=0.349325, epoch loss=3.406555
Batch=839, step=4440, lr=0.181750, batch loss=0.317778, epoch loss=3.724333
Batch=899, step=4500, lr=0.181250, batch loss=0.284815, epoch loss=4.009148
Batch=959, step=4560, lr=0.181000, batch loss=0.228411, epoch loss=4.237559
Batch=1019, step=4620, lr=0.181000, batch loss=0.333643, epoch loss=4.571203
Batch=1079, step=4680, lr=0.180750, batch loss=0.194176, epoch loss=4.765379
Batch=1139, step=4740, lr=0.180250, batch loss=0.229037, epoch loss=4.994416
Batch=1199, step=4800, lr=0.180000, batch loss=0.194015, epoch loss=5.188431
Epoch=3, step=4800, lr=0.180000, epoch loss=5.188431
Batch=59, step=4860, lr=0.179750, batch loss=0.233129, epoch loss=0.233129
Batch=119, step=4920, lr=0.179500, batch loss=0.192579, epoch loss=0.425708
Batch=179, step=4980, lr=0.179250, batch loss=0.206053, epoch loss=0.631761
Batch=239, step=5040, lr=0.179000, batch loss=0.306810, epoch loss=0.938571
Batch=299, step=5100, lr=0.178750, batch loss=0.201464, epoch loss=1.140035
Batch=359, step=5160, lr=0.178750, batch loss=0.273995, epoch loss=1.414030
Batch=419, step=5220, lr=0.178500, batch loss=0.264742, epoch loss=1.678773
Batch=479, step=5280, lr=0.178250, batch loss=0.240467, epoch loss=1.919240
Batch=539, step=5340, lr=0.177750, batch loss=0.190067, epoch loss=2.109307
Batch=599, step=5400, lr=0.177500, batch loss=0.232081, epoch loss=2.341388
Batch=659, step=5460, lr=0.177500, batch loss=0.323424, epoch loss=2.664813
Batch=719, step=5520, lr=0.177250, batch loss=0.325191, epoch loss=2.990004
Batch=779, step=5580, lr=0.176750, batch loss=0.337880, epoch loss=3.327884
Batch=839, step=5640, lr=0.176750, batch loss=0.308869, epoch loss=3.636753
Batch=899, step=5700, lr=0.176500, batch loss=0.274424, epoch loss=3.911177
Batch=959, step=5760, lr=0.176000, batch loss=0.212642, epoch loss=4.123818
Batch=1019, step=5820, lr=0.176000, batch loss=0.341853, epoch loss=4.465672
Batch=1079, step=5880, lr=0.175750, batch loss=0.202759, epoch loss=4.668430
Batch=1139, step=5940, lr=0.175500, batch loss=0.241173, epoch loss=4.909603
Batch=1199, step=6000, lr=0.175250, batch loss=0.188271, epoch loss=5.097874
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097874
Batch=59, step=6060, lr=0.175000, batch loss=0.228360, epoch loss=0.228360
Batch=119, step=6120, lr=0.174750, batch loss=0.188790, epoch loss=0.417150
Batch=179, step=6180, lr=0.174500, batch loss=0.202263, epoch loss=0.619414
Batch=239, step=6240, lr=0.174250, batch loss=0.301445, epoch loss=0.920859
Batch=299, step=6300, lr=0.173750, batch loss=0.205448, epoch loss=1.126307
Batch=359, step=6360, lr=0.173750, batch loss=0.267874, epoch loss=1.394181
Batch=419, step=6420, lr=0.173500, batch loss=0.264755, epoch loss=1.658936
Batch=479, step=6480, lr=0.173250, batch loss=0.244586, epoch loss=1.903522
Batch=539, step=6540, lr=0.173000, batch loss=0.192710, epoch loss=2.096233
Batch=599, step=6600, lr=0.172750, batch loss=0.230013, epoch loss=2.326246
Batch=659, step=6660, lr=0.172500, batch loss=0.314953, epoch loss=2.641199
Batch=719, step=6720, lr=0.172000, batch loss=0.315710, epoch loss=2.956909
Batch=779, step=6780, lr=0.172000, batch loss=0.330841, epoch loss=3.287750
Batch=839, step=6840, lr=0.171750, batch loss=0.305325, epoch loss=3.593076
Batch=899, step=6900, lr=0.171250, batch loss=0.265672, epoch loss=3.858748
Batch=959, step=6960, lr=0.171250, batch loss=0.212418, epoch loss=4.071166
Batch=1019, step=7020, lr=0.171000, batch loss=0.324147, epoch loss=4.395313
Batch=1079, step=7080, lr=0.170750, batch loss=0.176863, epoch loss=4.572176
Batch=1139, step=7140, lr=0.170500, batch loss=0.215066, epoch loss=4.787242
Batch=1199, step=7200, lr=0.170000, batch loss=0.184996, epoch loss=4.972238
Epoch=5, step=7200, lr=0.170000, epoch loss=4.972238
Batch=59, step=7260, lr=0.170000, batch loss=0.236466, epoch loss=0.236466
Batch=119, step=7320, lr=0.169750, batch loss=0.182081, epoch loss=0.418547
Batch=179, step=7380, lr=0.169500, batch loss=0.195128, epoch loss=0.613675
Batch=239, step=7440, lr=0.169250, batch loss=0.291870, epoch loss=0.905545
Batch=299, step=7500, lr=0.169000, batch loss=0.207166, epoch loss=1.112711
Batch=359, step=7560, lr=0.168750, batch loss=0.261904, epoch loss=1.374616
Batch=419, step=7620, lr=0.168500, batch loss=0.254157, epoch loss=1.628773
Batch=479, step=7680, lr=0.168250, batch loss=0.239625, epoch loss=1.868398
Batch=539, step=7740, lr=0.168000, batch loss=0.184696, epoch loss=2.053094
Batch=599, step=7800, lr=0.167750, batch loss=0.225843, epoch loss=2.278937
Batch=659, step=7860, lr=0.167500, batch loss=0.305627, epoch loss=2.584564
Batch=719, step=7920, lr=0.167250, batch loss=0.307626, epoch loss=2.892190
Batch=779, step=7980, lr=0.167000, batch loss=0.321677, epoch loss=3.213867
Batch=839, step=8040, lr=0.166750, batch loss=0.296823, epoch loss=3.510690
Batch=899, step=8100, lr=0.166500, batch loss=0.259791, epoch loss=3.770482
Batch=959, step=8160, lr=0.166250, batch loss=0.208299, epoch loss=3.978781
Batch=1019, step=8220, lr=0.166000, batch loss=0.316583, epoch loss=4.295364
Batch=1079, step=8280, lr=0.165750, batch loss=0.170194, epoch loss=4.465558
Batch=1139, step=8340, lr=0.165500, batch loss=0.207552, epoch loss=4.673110
Batch=1199, step=8400, lr=0.165250, batch loss=0.179431, epoch loss=4.852541
Epoch=6, step=8400, lr=0.165250, epoch loss=4.852541
Batch=59, step=8460, lr=0.164750, batch loss=0.227913, epoch loss=0.227913
Batch=119, step=8520, lr=0.164500, batch loss=0.176357, epoch loss=0.404270
Batch=179, step=8580, lr=0.164250, batch loss=0.187912, epoch loss=0.592183
Batch=239, step=8640, lr=0.164250, batch loss=0.279474, epoch loss=0.871657
Batch=299, step=8700, lr=0.163750, batch loss=0.200044, epoch loss=1.071700
Batch=359, step=8760, lr=0.163750, batch loss=0.253347, epoch loss=1.325048
Batch=419, step=8820, lr=0.163500, batch loss=0.247641, epoch loss=1.572689
Batch=479, step=8880, lr=0.163250, batch loss=0.227905, epoch loss=1.800593
Batch=539, step=8940, lr=0.163000, batch loss=0.180897, epoch loss=1.981491
Batch=599, step=9000, lr=0.162750, batch loss=0.216660, epoch loss=2.198150
Batch=659, step=9060, lr=0.162500, batch loss=0.294253, epoch loss=2.492403
Batch=719, step=9120, lr=0.162250, batch loss=0.294626, epoch loss=2.787029
Batch=779, step=9180, lr=0.161750, batch loss=0.316026, epoch loss=3.103055
Batch=839, step=9240, lr=0.161500, batch loss=0.287133, epoch loss=3.390188
Batch=899, step=9300, lr=0.161250, batch loss=0.251127, epoch loss=3.641316
Batch=959, step=9360, lr=0.161250, batch loss=0.189581, epoch loss=3.830896
Batch=1019, step=9420, lr=0.160750, batch loss=0.316879, epoch loss=4.147775
Batch=1079, step=9480, lr=0.160500, batch loss=0.199914, epoch loss=4.347689
Batch=1139, step=9540, lr=0.160250, batch loss=0.211896, epoch loss=4.559585
Batch=1199, step=9600, lr=0.160250, batch loss=0.168019, epoch loss=4.727605
Epoch=7, step=9600, lr=0.160250, epoch loss=4.727605
Batch=59, step=9660, lr=0.159750, batch loss=0.200215, epoch loss=0.200215
Batch=119, step=9720, lr=0.159500, batch loss=0.165582, epoch loss=0.365797
Batch=179, step=9780, lr=0.159250, batch loss=0.178792, epoch loss=0.544589
Batch=239, step=9840, lr=0.159000, batch loss=0.262477, epoch loss=0.807066
Batch=299, step=9900, lr=0.158750, batch loss=0.183375, epoch loss=0.990441
Batch=359, step=9960, lr=0.158500, batch loss=0.242874, epoch loss=1.233315
Batch=419, step=10020, lr=0.158250, batch loss=0.233257, epoch loss=1.466572
Batch=479, step=10080, lr=0.158000, batch loss=0.215377, epoch loss=1.681949
Batch=539, step=10140, lr=0.157750, batch loss=0.171657, epoch loss=1.853606
Batch=599, step=10200, lr=0.157500, batch loss=0.203014, epoch loss=2.056620
Batch=659, step=10260, lr=0.157250, batch loss=0.282275, epoch loss=2.338895
Batch=719, step=10320, lr=0.157000, batch loss=0.284098, epoch loss=2.622993
Batch=779, step=10380, lr=0.157000, batch loss=0.295517, epoch loss=2.918510
Batch=839, step=10440, lr=0.156500, batch loss=0.273291, epoch loss=3.191801
Batch=899, step=10500, lr=0.156250, batch loss=0.236498, epoch loss=3.428299
Batch=959, step=10560, lr=0.156250, batch loss=0.180445, epoch loss=3.608743
Batch=1019, step=10620, lr=0.155750, batch loss=0.296342, epoch loss=3.905085
Batch=1079, step=10680, lr=0.155500, batch loss=0.179388, epoch loss=4.084473
Batch=1139, step=10740, lr=0.155250, batch loss=0.198458, epoch loss=4.282931
Batch=1199, step=10800, lr=0.155000, batch loss=0.155294, epoch loss=4.438225
Epoch=8, step=10800, lr=0.155000, epoch loss=4.438225
Batch=59, step=10860, lr=0.154750, batch loss=0.179271, epoch loss=0.179271
Batch=119, step=10920, lr=0.154500, batch loss=0.152021, epoch loss=0.331292
Batch=179, step=10980, lr=0.154250, batch loss=0.166891, epoch loss=0.498184
Batch=239, step=11040, lr=0.154000, batch loss=0.247515, epoch loss=0.745699
Batch=299, step=11100, lr=0.153750, batch loss=0.168996, epoch loss=0.914695
Batch=359, step=11160, lr=0.153500, batch loss=0.221634, epoch loss=1.136328
Batch=419, step=11220, lr=0.153250, batch loss=0.217446, epoch loss=1.353774
Batch=479, step=11280, lr=0.153000, batch loss=0.212508, epoch loss=1.566282
Batch=539, step=11340, lr=0.152750, batch loss=0.163473, epoch loss=1.729755
Batch=599, step=11400, lr=0.152500, batch loss=0.178462, epoch loss=1.908217
Batch=659, step=11460, lr=0.152250, batch loss=0.267464, epoch loss=2.175680
Batch=719, step=11520, lr=0.152000, batch loss=0.262029, epoch loss=2.437709
Batch=779, step=11580, lr=0.152000, batch loss=0.275568, epoch loss=2.713277
Batch=839, step=11640, lr=0.151500, batch loss=0.257064, epoch loss=2.970341
Batch=899, step=11700, lr=0.151250, batch loss=0.213619, epoch loss=3.183960
Batch=959, step=11760, lr=0.151250, batch loss=0.168815, epoch loss=3.352775
Batch=1019, step=11820, lr=0.150750, batch loss=0.268109, epoch loss=3.620884
Batch=1079, step=11880, lr=0.150500, batch loss=0.146177, epoch loss=3.767061
Batch=1139, step=11940, lr=0.150500, batch loss=0.186415, epoch loss=3.953476
Batch=1199, step=12000, lr=0.150000, batch loss=0.139548, epoch loss=4.093025
Epoch=9, step=12000, lr=0.150000, epoch loss=4.093025
Batch=59, step=12060, lr=0.150000, batch loss=0.163708, epoch loss=0.163708
Batch=119, step=12120, lr=0.149750, batch loss=0.135366, epoch loss=0.299074
Batch=179, step=12180, lr=0.149250, batch loss=0.152437, epoch loss=0.451511
Batch=239, step=12240, lr=0.149000, batch loss=0.221284, epoch loss=0.672796
Batch=299, step=12300, lr=0.149000, batch loss=0.142111, epoch loss=0.814907
Batch=359, step=12360, lr=0.148750, batch loss=0.199258, epoch loss=1.014165
Batch=419, step=12420, lr=0.148500, batch loss=0.207809, epoch loss=1.221974
Batch=479, step=12480, lr=0.148250, batch loss=0.178460, epoch loss=1.400434
Batch=539, step=12540, lr=0.148000, batch loss=0.142886, epoch loss=1.543320
Batch=599, step=12600, lr=0.147500, batch loss=0.149169, epoch loss=1.692489
Batch=659, step=12660, lr=0.147250, batch loss=0.223520, epoch loss=1.916009
Batch=719, step=12720, lr=0.147250, batch loss=0.234040, epoch loss=2.150048
Batch=779, step=12780, lr=0.147000, batch loss=0.250047, epoch loss=2.400095
Batch=839, step=12840, lr=0.146500, batch loss=0.230086, epoch loss=2.630181
Batch=899, step=12900, lr=0.146250, batch loss=0.188815, epoch loss=2.818997
Batch=959, step=12960, lr=0.146250, batch loss=0.170631, epoch loss=2.989628
Batch=1019, step=13020, lr=0.146000, batch loss=0.272072, epoch loss=3.261700
Batch=1079, step=13080, lr=0.145500, batch loss=0.112488, epoch loss=3.374188
Batch=1139, step=13140, lr=0.145250, batch loss=0.154530, epoch loss=3.528718
Batch=1199, step=13200, lr=0.145000, batch loss=0.118743, epoch loss=3.647461
Epoch=10, step=13200, lr=0.145000, epoch loss=3.647461
Batch=59, step=13260, lr=0.144750, batch loss=0.145661, epoch loss=0.145661
Batch=119, step=13320, lr=0.144750, batch loss=0.124943, epoch loss=0.270604
Batch=179, step=13380, lr=0.144500, batch loss=0.132008, epoch loss=0.402612
Batch=239, step=13440, lr=0.144250, batch loss=0.193035, epoch loss=0.595647
Batch=299, step=13500, lr=0.144000, batch loss=0.112181, epoch loss=0.707829
Batch=359, step=13560, lr=0.143750, batch loss=0.164428, epoch loss=0.872256
Batch=419, step=13620, lr=0.143500, batch loss=0.161190, epoch loss=1.033446
Batch=479, step=13680, lr=0.143250, batch loss=0.149525, epoch loss=1.182971
Batch=539, step=13740, lr=0.143000, batch loss=0.117120, epoch loss=1.300091
Batch=599, step=13800, lr=0.142750, batch loss=0.122500, epoch loss=1.422591
Batch=659, step=13860, lr=0.142500, batch loss=0.188198, epoch loss=1.610788
Batch=719, step=13920, lr=0.142250, batch loss=0.201372, epoch loss=1.812160
Batch=779, step=13980, lr=0.141750, batch loss=0.233921, epoch loss=2.046081
Batch=839, step=14040, lr=0.141500, batch loss=0.199648, epoch loss=2.245729
Batch=899, step=14100, lr=0.141250, batch loss=0.204792, epoch loss=2.450521
Batch=959, step=14160, lr=0.141000, batch loss=0.112146, epoch loss=2.562667
Batch=1019, step=14220, lr=0.141000, batch loss=0.189741, epoch loss=2.752407
Batch=1079, step=14280, lr=0.140750, batch loss=0.079185, epoch loss=2.831592
Batch=1139, step=14340, lr=0.140500, batch loss=0.129918, epoch loss=2.961510
Batch=1199, step=14400, lr=0.140000, batch loss=0.088414, epoch loss=3.049923
Epoch=11, step=14400, lr=0.140000, epoch loss=3.049923
Batch=59, step=14460, lr=0.140000, batch loss=0.108405, epoch loss=0.108405
Batch=119, step=14520, lr=0.139750, batch loss=0.106098, epoch loss=0.214503
Batch=179, step=14580, lr=0.139250, batch loss=0.103514, epoch loss=0.318017
Batch=239, step=14640, lr=0.139000, batch loss=0.144006, epoch loss=0.462023
Batch=299, step=14700, lr=0.138750, batch loss=0.078308, epoch loss=0.540331
Batch=359, step=14760, lr=0.138500, batch loss=0.122127, epoch loss=0.662459
Batch=419, step=14820, lr=0.138250, batch loss=0.134200, epoch loss=0.796659
Batch=479, step=14880, lr=0.138000, batch loss=0.100759, epoch loss=0.897418
Batch=539, step=14940, lr=0.137750, batch loss=0.093904, epoch loss=0.991321
Batch=599, step=15000, lr=0.137500, batch loss=0.088048, epoch loss=1.079369
Batch=659, step=15060, lr=0.137500, batch loss=0.144486, epoch loss=1.223855
Batch=719, step=15120, lr=0.137250, batch loss=0.168083, epoch loss=1.391938
Batch=779, step=15180, lr=0.137000, batch loss=0.301655, epoch loss=1.693593
Batch=839, step=15240, lr=0.136750, batch loss=0.135487, epoch loss=1.829080
Batch=899, step=15300, lr=0.136500, batch loss=0.124675, epoch loss=1.953755
Batch=959, step=15360, lr=0.136250, batch loss=0.100089, epoch loss=2.053844
Batch=1019, step=15420, lr=0.136000, batch loss=0.169641, epoch loss=2.223484
Batch=1079, step=15480, lr=0.135750, batch loss=0.040928, epoch loss=2.264412
Batch=1139, step=15540, lr=0.135500, batch loss=0.094258, epoch loss=2.358669
Batch=1199, step=15600, lr=0.135250, batch loss=0.062098, epoch loss=2.420768
Epoch=12, step=15600, lr=0.135250, epoch loss=2.420768
Batch=59, step=15660, lr=0.135000, batch loss=0.084996, epoch loss=0.084996
Batch=119, step=15720, lr=0.134750, batch loss=0.137824, epoch loss=0.222820
Batch=179, step=15780, lr=0.134500, batch loss=0.099820, epoch loss=0.322641
Batch=239, step=15840, lr=0.134250, batch loss=0.100549, epoch loss=0.423189
Batch=299, step=15900, lr=0.134000, batch loss=0.047279, epoch loss=0.470468
Batch=359, step=15960, lr=0.133750, batch loss=0.088712, epoch loss=0.559180
Batch=419, step=16020, lr=0.133500, batch loss=0.079806, epoch loss=0.638987
Batch=479, step=16080, lr=0.133250, batch loss=0.060520, epoch loss=0.699506
Batch=539, step=16140, lr=0.133000, batch loss=0.066662, epoch loss=0.766169
Batch=599, step=16200, lr=0.132750, batch loss=0.148410, epoch loss=0.914578
Batch=659, step=16260, lr=0.132500, batch loss=0.089752, epoch loss=1.004330
Batch=719, step=16320, lr=0.132000, batch loss=0.139726, epoch loss=1.144056
Batch=779, step=16380, lr=0.131750, batch loss=0.319333, epoch loss=1.463389
Batch=839, step=16440, lr=0.131500, batch loss=0.103235, epoch loss=1.566624
Batch=899, step=16500, lr=0.131500, batch loss=0.088689, epoch loss=1.655313
Batch=959, step=16560, lr=0.131250, batch loss=0.034034, epoch loss=1.689346
Batch=1019, step=16620, lr=0.130750, batch loss=0.063225, epoch loss=1.752571
Batch=1079, step=16680, lr=0.130750, batch loss=0.055400, epoch loss=1.807972
Batch=1139, step=16740, lr=0.130250, batch loss=0.096945, epoch loss=1.904916
Batch=1199, step=16800, lr=0.130000, batch loss=0.048895, epoch loss=1.953811
Epoch=13, step=16800, lr=0.130000, epoch loss=1.953811
Batch=59, step=16860, lr=0.130000, batch loss=0.037000, epoch loss=0.037000
Batch=119, step=16920, lr=0.129750, batch loss=0.038019, epoch loss=0.075019
Batch=179, step=16980, lr=0.129500, batch loss=0.045628, epoch loss=0.120647
Batch=239, step=17040, lr=0.129250, batch loss=0.061717, epoch loss=0.182364
Batch=299, step=17100, lr=0.129000, batch loss=0.019634, epoch loss=0.201998
Batch=359, step=17160, lr=0.128750, batch loss=0.045043, epoch loss=0.247041
Batch=419, step=17220, lr=0.128500, batch loss=0.049091, epoch loss=0.296132
Batch=479, step=17280, lr=0.128250, batch loss=0.037257, epoch loss=0.333389
Batch=539, step=17340, lr=0.128000, batch loss=0.040290, epoch loss=0.373679
Batch=599, step=17400, lr=0.127500, batch loss=0.080116, epoch loss=0.453795
Batch=659, step=17460, lr=0.127500, batch loss=0.050328, epoch loss=0.504123
Batch=719, step=17520, lr=0.127250, batch loss=0.065482, epoch loss=0.569605
Batch=779, step=17580, lr=0.126750, batch loss=0.123318, epoch loss=0.692923
Batch=839, step=17640, lr=0.126750, batch loss=0.092094, epoch loss=0.785017
Batch=899, step=17700, lr=0.126250, batch loss=0.110747, epoch loss=0.895764
Batch=959, step=17760, lr=0.126250, batch loss=0.025411, epoch loss=0.921175
Batch=1019, step=17820, lr=0.126000, batch loss=0.043157, epoch loss=0.964332
Batch=1079, step=17880, lr=0.125750, batch loss=0.012182, epoch loss=0.976514
Batch=1139, step=17940, lr=0.125500, batch loss=0.033402, epoch loss=1.009916
Batch=1199, step=18000, lr=0.125250, batch loss=0.015820, epoch loss=1.025735
Epoch=14, step=18000, lr=0.125250, epoch loss=1.025735
Batch=59, step=18060, lr=0.125000, batch loss=0.013880, epoch loss=0.013880
Batch=119, step=18120, lr=0.124750, batch loss=0.033646, epoch loss=0.047525
Batch=179, step=18180, lr=0.124500, batch loss=0.080582, epoch loss=0.128107
Batch=239, step=18240, lr=0.124250, batch loss=0.042204, epoch loss=0.170311
Batch=299, step=18300, lr=0.124000, batch loss=0.011853, epoch loss=0.182164
Batch=359, step=18360, lr=0.123750, batch loss=0.029532, epoch loss=0.211696
Batch=419, step=18420, lr=0.123500, batch loss=0.030827, epoch loss=0.242523
Batch=479, step=18480, lr=0.123250, batch loss=0.024156, epoch loss=0.266680
Batch=539, step=18540, lr=0.123000, batch loss=0.041836, epoch loss=0.308516
Batch=599, step=18600, lr=0.122750, batch loss=0.026196, epoch loss=0.334711
Batch=659, step=18660, lr=0.122500, batch loss=0.033222, epoch loss=0.367933
Batch=719, step=18720, lr=0.122000, batch loss=0.050423, epoch loss=0.418356
Batch=779, step=18780, lr=0.121750, batch loss=0.110352, epoch loss=0.528708
Batch=839, step=18840, lr=0.121500, batch loss=0.058305, epoch loss=0.587013
Batch=899, step=18900, lr=0.121250, batch loss=0.056701, epoch loss=0.643714
Batch=959, step=18960, lr=0.121250, batch loss=0.014984, epoch loss=0.658698
Batch=1019, step=19020, lr=0.121000, batch loss=0.022154, epoch loss=0.680852
Batch=1079, step=19080, lr=0.120500, batch loss=0.010037, epoch loss=0.690889
Batch=1139, step=19140, lr=0.120500, batch loss=0.024434, epoch loss=0.715323
Batch=1199, step=19200, lr=0.120250, batch loss=0.009842, epoch loss=0.725165
Epoch=15, step=19200, lr=0.120250, epoch loss=0.725165
Batch=59, step=19260, lr=0.120000, batch loss=0.004986, epoch loss=0.004986
Batch=119, step=19320, lr=0.119750, batch loss=0.016222, epoch loss=0.021208
Batch=179, step=19380, lr=0.119500, batch loss=0.038493, epoch loss=0.059701
Batch=239, step=19440, lr=0.119250, batch loss=0.022207, epoch loss=0.081908
Batch=299, step=19500, lr=0.119000, batch loss=0.005633, epoch loss=0.087541
Batch=359, step=19560, lr=0.118750, batch loss=0.017864, epoch loss=0.105404
Batch=419, step=19620, lr=0.118500, batch loss=0.021231, epoch loss=0.126635
Batch=479, step=19680, lr=0.118250, batch loss=0.008382, epoch loss=0.135017
Batch=539, step=19740, lr=0.118000, batch loss=0.017593, epoch loss=0.152610
Batch=599, step=19800, lr=0.117750, batch loss=0.023752, epoch loss=0.176363
Batch=659, step=19860, lr=0.117500, batch loss=0.020500, epoch loss=0.196862
Batch=719, step=19920, lr=0.117250, batch loss=0.045798, epoch loss=0.242661
Batch=779, step=19980, lr=0.117000, batch loss=0.078901, epoch loss=0.321562
Batch=839, step=20040, lr=0.116750, batch loss=0.033892, epoch loss=0.355453
Batch=899, step=20100, lr=0.116500, batch loss=0.030897, epoch loss=0.386350
Batch=959, step=20160, lr=0.116250, batch loss=0.015837, epoch loss=0.402187
Batch=1019, step=20220, lr=0.116000, batch loss=0.020301, epoch loss=0.422489
Batch=1079, step=20280, lr=0.115750, batch loss=0.004073, epoch loss=0.426562
Batch=1139, step=20340, lr=0.115500, batch loss=0.016781, epoch loss=0.443342
Batch=1199, step=20400, lr=0.115250, batch loss=0.006644, epoch loss=0.449986
Epoch=16, step=20400, lr=0.115250, epoch loss=0.449986
Batch=59, step=20460, lr=0.115000, batch loss=0.003376, epoch loss=0.003376
Batch=119, step=20520, lr=0.114750, batch loss=0.010389, epoch loss=0.013765
Batch=179, step=20580, lr=0.114500, batch loss=0.021813, epoch loss=0.035578
Batch=239, step=20640, lr=0.114250, batch loss=0.018834, epoch loss=0.054412
Batch=299, step=20700, lr=0.114000, batch loss=0.008981, epoch loss=0.063392
Batch=359, step=20760, lr=0.113750, batch loss=0.014006, epoch loss=0.077399
Batch=419, step=20820, lr=0.113500, batch loss=0.015431, epoch loss=0.092830
Batch=479, step=20880, lr=0.113250, batch loss=0.004608, epoch loss=0.097438
Batch=539, step=20940, lr=0.113000, batch loss=0.015682, epoch loss=0.113120
Batch=599, step=21000, lr=0.112500, batch loss=0.019262, epoch loss=0.132383
Batch=659, step=21060, lr=0.112500, batch loss=0.014116, epoch loss=0.146498
Batch=719, step=21120, lr=0.112250, batch loss=0.032062, epoch loss=0.178560
Batch=779, step=21180, lr=0.112000, batch loss=0.042241, epoch loss=0.220801
Batch=839, step=21240, lr=0.111750, batch loss=0.027873, epoch loss=0.248673
Batch=899, step=21300, lr=0.111500, batch loss=0.026949, epoch loss=0.275622
Batch=959, step=21360, lr=0.111250, batch loss=0.013451, epoch loss=0.289073
Batch=1019, step=21420, lr=0.111000, batch loss=0.015892, epoch loss=0.304965
Batch=1079, step=21480, lr=0.110750, batch loss=0.001358, epoch loss=0.306323
Batch=1139, step=21540, lr=0.110500, batch loss=0.013611, epoch loss=0.319935
Batch=1199, step=21600, lr=0.110000, batch loss=0.005601, epoch loss=0.325535
Epoch=17, step=21600, lr=0.110000, epoch loss=0.325535
Batch=59, step=21660, lr=0.110000, batch loss=0.003159, epoch loss=0.003159
Batch=119, step=21720, lr=0.109750, batch loss=0.007294, epoch loss=0.010453
Batch=179, step=21780, lr=0.109250, batch loss=0.012891, epoch loss=0.023344
Batch=239, step=21840, lr=0.109000, batch loss=0.009938, epoch loss=0.033282
Batch=299, step=21900, lr=0.109000, batch loss=0.009174, epoch loss=0.042455
Batch=359, step=21960, lr=0.108500, batch loss=0.014956, epoch loss=0.057411
Batch=419, step=22020, lr=0.108250, batch loss=0.012948, epoch loss=0.070359
Batch=479, step=22080, lr=0.108000, batch loss=0.003133, epoch loss=0.073492
Batch=539, step=22140, lr=0.108000, batch loss=0.017053, epoch loss=0.090546
Batch=599, step=22200, lr=0.107750, batch loss=0.016658, epoch loss=0.107204
Batch=659, step=22260, lr=0.107500, batch loss=0.015328, epoch loss=0.122532
Batch=719, step=22320, lr=0.107250, batch loss=0.024772, epoch loss=0.147304
Batch=779, step=22380, lr=0.107000, batch loss=0.045031, epoch loss=0.192335
Batch=839, step=22440, lr=0.106750, batch loss=0.021969, epoch loss=0.214303
Batch=899, step=22500, lr=0.106500, batch loss=0.022322, epoch loss=0.236626
Batch=959, step=22560, lr=0.106250, batch loss=0.010244, epoch loss=0.246870
Batch=1019, step=22620, lr=0.106000, batch loss=0.010326, epoch loss=0.257195
Batch=1079, step=22680, lr=0.105750, batch loss=0.000558, epoch loss=0.257754
Batch=1139, step=22740, lr=0.105500, batch loss=0.011951, epoch loss=0.269705
Batch=1199, step=22800, lr=0.105250, batch loss=0.004690, epoch loss=0.274395
Epoch=18, step=22800, lr=0.105250, epoch loss=0.274395
Batch=59, step=22860, lr=0.105000, batch loss=0.001732, epoch loss=0.001732
Batch=119, step=22920, lr=0.104750, batch loss=0.005807, epoch loss=0.007538
Batch=179, step=22980, lr=0.104500, batch loss=0.010942, epoch loss=0.018480
Batch=239, step=23040, lr=0.104000, batch loss=0.010382, epoch loss=0.028862
Batch=299, step=23100, lr=0.104000, batch loss=0.009903, epoch loss=0.038765
Batch=359, step=23160, lr=0.103750, batch loss=0.012087, epoch loss=0.050851
Batch=419, step=23220, lr=0.103500, batch loss=0.011360, epoch loss=0.062212
Batch=479, step=23280, lr=0.103250, batch loss=0.003524, epoch loss=0.065735
Batch=539, step=23340, lr=0.102750, batch loss=0.014692, epoch loss=0.080428
Batch=599, step=23400, lr=0.102750, batch loss=0.014582, epoch loss=0.095010
Batch=659, step=23460, lr=0.102250, batch loss=0.013719, epoch loss=0.108729
Batch=719, step=23520, lr=0.102000, batch loss=0.012926, epoch loss=0.121655
Batch=779, step=23580, lr=0.101750, batch loss=0.021675, epoch loss=0.143330
Batch=839, step=23640, lr=0.101500, batch loss=0.027495, epoch loss=0.170825
Batch=899, step=23700, lr=0.101250, batch loss=0.022470, epoch loss=0.193295
Batch=959, step=23760, lr=0.101000, batch loss=0.010004, epoch loss=0.203299
Batch=1019, step=23820, lr=0.101000, batch loss=0.008492, epoch loss=0.211791
Batch=1079, step=23880, lr=0.100500, batch loss=0.001470, epoch loss=0.213261
Batch=1139, step=23940, lr=0.100250, batch loss=0.008756, epoch loss=0.222017
Batch=1199, step=24000, lr=0.100250, batch loss=0.004913, epoch loss=0.226930
Epoch=19, step=24000, lr=0.100250, epoch loss=0.226930


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 12:47.09 ---> saved as "b7bbc7486b0485ece67693d5cbef9f395a7b4906aa767035f54a3ded6db80b5a"
Job succeeded
2025-03-21 12:47.10: Job succeeded