Organisationsahrefsocannl8c5145 ()debian-12-5.3_arm64_opam-2.3

debian-12-5.3_arm64_opam-2.3

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2025-05-10 16:28.35: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8c5145c5ac79b93fef04f870a87a2336b8aea7fc) (linux-arm64:debian-12-5.3_arm64_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 8c5145c5
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
# debian-12-5.3_arm64_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-05-10 16:28.35: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3-debian-12-5.3_arm64_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-10 16:28.35: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3)
(comment debian-12-5.3_arm64_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-05-10 16:28.35: Waiting for resource in pool OCluster
2025-05-10 16:28.35: Waiting for worker…
2025-05-10 16:29.10: Got resource from pool OCluster
Building on okypous.caelum.ci.dev
HEAD is now at 23c9ad3f experiment
HEAD is now at 8c5145c5 experiment: try a different runner


(from ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3' locally
docker.io/ocaml/opam@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3: Pulling from ocaml/opam
b17c8e92fb87: Pulling fs layer
b17c8e92fb87: Verifying Checksum
b17c8e92fb87: Download complete
b17c8e92fb87: Pull complete
Digest: sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
Status: Downloaded newer image for ocaml/opam@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
2025-05-10 16:29.10 ---> using "978b9672b52860448462f39ede8f8b4212c220fbb438fba1dfbc6def719b7210" from cache


/: (comment debian-12-5.3_arm64_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-10 16:29.10 ---> using "496cc35f114b05b801d3e9ee6474864c453fb63d6b47eb13a1549a1750ca635f" from cache


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


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


Continue? [y/n] y
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 16:29.10 ---> using "7d05921eabd1fe38008746d72fe6393680f11c689b91eb2d7502bbd1bff3fb98" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-138-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-10 16:29.10 ---> using "9502e2c4f53b5580308524d5b4c73de1f298163f2699b8bac50471099eae33e6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 16:29.10 ---> using "981e6ce16a11cbfdb1466639b83481acca0dd8d5862dfa3fd7af24a690882e61" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..0d013e603b  master     -> origin/master
997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+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)
2025-05-10 16:29.10 ---> using "0311db991aa7f1e838b0202d4f94705b9849b5b9a3e85691611e64a6141397ac" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 16:29.10 ---> using "959fefc82d8d0472e442cc204a9ca76d8147761335e5e009b00cf7ebaf05356e" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-10 16:29.10 ---> using "559219e29930c487fa9763b1207a16fee8e4c777dd86ed001e37fb618220f24f" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 16:29.10 ---> using "917b06a5e1fc1c453c8dad6d6fdeab45f636185b54d2cf15b9b39770823630af" from cache


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bookworm InRelease
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian-security bookworm-security/main arm64 Packages [254 kB]
- Fetched 357 kB in 0s (860 kB/s)
- Reading package lists...
- 


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


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


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:arm64.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18801 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_arm64.deb ...
- Unpacking libffi-dev:arm64 (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:arm64.
- Preparing to unpack .../libpkgconf3_1.8.1-1_arm64.deb ...
- Unpacking libpkgconf3:arm64 (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_arm64.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:arm64.
- Preparing to unpack .../pkgconf_1.8.1-1_arm64.deb ...
- Unpacking pkgconf:arm64 (1.8.1-1) ...
- Selecting previously unselected package pkg-config:arm64.
- Preparing to unpack .../pkg-config_1.8.1-1_arm64.deb ...
- Unpacking pkg-config:arm64 (1.8.1-1) ...
- Setting up libffi-dev:arm64 (3.4.4-1) ...
- Setting up libpkgconf3:arm64 (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:arm64 (1.8.1-1) ...
- Setting up pkg-config:arm64 (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-05-10 16:29.10 ---> using "cf82943348d85680afa3b42c6f7d609952c0d4eaed58bb8fa6353146de92e8a2" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 74 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.18.2
- install dune-configurator       3.18.2
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml-version           4.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.2.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (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-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> installed cmdliner.1.3.0
-> 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 ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed num.1.5-1
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> 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 camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.2
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ppx_sexp_conv.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-10 16:29.10 ---> using "7380ec48c267ef7dee5b4e49f89304bb38910580ebbc26403052402453ea6467" from cache


/src: (copy (src .) (dst /src))
2025-05-10 16:29.11 ---> saved as "bb8ee6801aefc5271fed08db3ac6a2e7ee1890768d8c13d06edf66cbb04ae058"


/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/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/0463409545dad51bca57266723ad7cf8/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/391861119074049e2f172e336da15ca1/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/391861119074049e2f172e336da15ca1/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
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 80))))
@!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=8.539633, epoch loss=32.149086
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775381
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625038
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072215
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401511
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020080
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842140
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532384
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596262
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079602
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490901
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790406
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035542
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502048
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750828
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068268
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467380
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208235, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281745, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182500, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337043, epoch loss=2.761032
Batch=719, step=4320, lr=0.182000, batch loss=0.347191, epoch loss=3.108222
Batch=779, step=4380, lr=0.182000, batch loss=0.346209, epoch loss=3.454431
Batch=839, step=4440, lr=0.181750, batch loss=0.317893, epoch loss=3.772325
Batch=899, step=4500, lr=0.181500, batch loss=0.292419, epoch loss=4.064744
Batch=959, step=4560, lr=0.181250, batch loss=0.256725, epoch loss=4.321468
Batch=1019, step=4620, lr=0.181000, batch loss=0.367094, epoch loss=4.688562
Batch=1079, step=4680, lr=0.180750, batch loss=0.199353, epoch loss=4.887915
Batch=1139, step=4740, lr=0.180500, batch loss=0.233845, epoch loss=5.121760
Batch=1199, step=4800, lr=0.180250, batch loss=0.190827, epoch loss=5.312587
Epoch=3, step=4800, lr=0.180250, epoch loss=5.312587
Batch=59, step=4860, lr=0.180000, batch loss=0.217752, epoch loss=0.217752
Batch=119, step=4920, lr=0.179750, batch loss=0.184576, epoch loss=0.402328
Batch=179, step=4980, lr=0.179500, batch loss=0.204867, epoch loss=0.607195
Batch=239, step=5040, lr=0.179250, batch loss=0.307934, epoch loss=0.915129
Batch=299, step=5100, lr=0.179000, batch loss=0.216039, epoch loss=1.131168
Batch=359, step=5160, lr=0.178750, batch loss=0.278089, epoch loss=1.409257
Batch=419, step=5220, lr=0.178500, batch loss=0.276323, epoch loss=1.685580
Batch=479, step=5280, lr=0.178250, batch loss=0.244964, epoch loss=1.930544
Batch=539, step=5340, lr=0.178000, batch loss=0.190033, epoch loss=2.120577
Batch=599, step=5400, lr=0.177750, batch loss=0.234445, epoch loss=2.355023
Batch=659, step=5460, lr=0.177500, batch loss=0.320749, epoch loss=2.675772
Batch=719, step=5520, lr=0.177250, batch loss=0.325382, epoch loss=3.001154
Batch=779, step=5580, lr=0.177000, batch loss=0.341229, epoch loss=3.342382
Batch=839, step=5640, lr=0.176750, batch loss=0.309670, epoch loss=3.652053
Batch=899, step=5700, lr=0.176500, batch loss=0.270672, epoch loss=3.922725
Batch=959, step=5760, lr=0.176250, batch loss=0.220097, epoch loss=4.142822
Batch=1019, step=5820, lr=0.176000, batch loss=0.327940, epoch loss=4.470762
Batch=1079, step=5880, lr=0.175750, batch loss=0.188647, epoch loss=4.659410
Batch=1139, step=5940, lr=0.175500, batch loss=0.221206, epoch loss=4.880615
Batch=1199, step=6000, lr=0.175250, batch loss=0.186326, epoch loss=5.066941
Epoch=4, step=6000, lr=0.175250, epoch loss=5.066941
Batch=59, step=6060, lr=0.175000, batch loss=0.224187, epoch loss=0.224187
Batch=119, step=6120, lr=0.174750, batch loss=0.186242, epoch loss=0.410429
Batch=179, step=6180, lr=0.174500, batch loss=0.200069, epoch loss=0.610497
Batch=239, step=6240, lr=0.174250, batch loss=0.299061, epoch loss=0.909558
Batch=299, step=6300, lr=0.174000, batch loss=0.216168, epoch loss=1.125725
Batch=359, step=6360, lr=0.173750, batch loss=0.277691, epoch loss=1.403416
Batch=419, step=6420, lr=0.173500, batch loss=0.265066, epoch loss=1.668482
Batch=479, step=6480, lr=0.173250, batch loss=0.244555, epoch loss=1.913037
Batch=539, step=6540, lr=0.173000, batch loss=0.194152, epoch loss=2.107189
Batch=599, step=6600, lr=0.172750, batch loss=0.236703, epoch loss=2.343892
Batch=659, step=6660, lr=0.172500, batch loss=0.310840, epoch loss=2.654732
Batch=719, step=6720, lr=0.172250, batch loss=0.317904, epoch loss=2.972635
Batch=779, step=6780, lr=0.172000, batch loss=0.332677, epoch loss=3.305313
Batch=839, step=6840, lr=0.171750, batch loss=0.303517, epoch loss=3.608830
Batch=899, step=6900, lr=0.171500, batch loss=0.266797, epoch loss=3.875627
Batch=959, step=6960, lr=0.171250, batch loss=0.212894, epoch loss=4.088521
Batch=1019, step=7020, lr=0.171000, batch loss=0.325404, epoch loss=4.413924
Batch=1079, step=7080, lr=0.170750, batch loss=0.177963, epoch loss=4.591888
Batch=1139, step=7140, lr=0.170500, batch loss=0.214320, epoch loss=4.806208
Batch=1199, step=7200, lr=0.170250, batch loss=0.180455, epoch loss=4.986663
Epoch=5, step=7200, lr=0.170250, epoch loss=4.986663
Batch=59, step=7260, lr=0.170000, batch loss=0.214043, epoch loss=0.214043
Batch=119, step=7320, lr=0.169750, batch loss=0.183244, epoch loss=0.397288
Batch=179, step=7380, lr=0.169500, batch loss=0.193989, epoch loss=0.591277
Batch=239, step=7440, lr=0.169250, batch loss=0.291667, epoch loss=0.882944
Batch=299, step=7500, lr=0.169000, batch loss=0.206083, epoch loss=1.089028
Batch=359, step=7560, lr=0.168750, batch loss=0.262372, epoch loss=1.351400
Batch=419, step=7620, lr=0.168500, batch loss=0.253107, epoch loss=1.604506
Batch=479, step=7680, lr=0.168250, batch loss=0.229534, epoch loss=1.834040
Batch=539, step=7740, lr=0.168000, batch loss=0.183921, epoch loss=2.017961
Batch=599, step=7800, lr=0.167750, batch loss=0.220864, epoch loss=2.238825
Batch=659, step=7860, lr=0.167500, batch loss=0.304157, epoch loss=2.542982
Batch=719, step=7920, lr=0.167250, batch loss=0.305918, epoch loss=2.848900
Batch=779, step=7980, lr=0.167000, batch loss=0.319051, epoch loss=3.167951
Batch=839, step=8040, lr=0.166750, batch loss=0.296253, epoch loss=3.464204
Batch=899, step=8100, lr=0.166500, batch loss=0.257739, epoch loss=3.721943
Batch=959, step=8160, lr=0.166250, batch loss=0.201947, epoch loss=3.923890
Batch=1019, step=8220, lr=0.166000, batch loss=0.318264, epoch loss=4.242153
Batch=1079, step=8280, lr=0.165750, batch loss=0.173698, epoch loss=4.415852
Batch=1139, step=8340, lr=0.165500, batch loss=0.209464, epoch loss=4.625315
Batch=1199, step=8400, lr=0.165250, batch loss=0.178053, epoch loss=4.803368
Epoch=6, step=8400, lr=0.165250, epoch loss=4.803368
Batch=59, step=8460, lr=0.165000, batch loss=0.230118, epoch loss=0.230118
Batch=119, step=8520, lr=0.164750, batch loss=0.174824, epoch loss=0.404942
Batch=179, step=8580, lr=0.164500, batch loss=0.187164, epoch loss=0.592106
Batch=239, step=8640, lr=0.164250, batch loss=0.276114, epoch loss=0.868220
Batch=299, step=8700, lr=0.164000, batch loss=0.191615, epoch loss=1.059835
Batch=359, step=8760, lr=0.163750, batch loss=0.248644, epoch loss=1.308479
Batch=419, step=8820, lr=0.163500, batch loss=0.245092, epoch loss=1.553571
Batch=479, step=8880, lr=0.163250, batch loss=0.228892, epoch loss=1.782463
Batch=539, step=8940, lr=0.163000, batch loss=0.178556, epoch loss=1.961019
Batch=599, step=9000, lr=0.162750, batch loss=0.218518, epoch loss=2.179537
Batch=659, step=9060, lr=0.162500, batch loss=0.293632, epoch loss=2.473169
Batch=719, step=9120, lr=0.162250, batch loss=0.293253, epoch loss=2.766422
Batch=779, step=9180, lr=0.162000, batch loss=0.315118, epoch loss=3.081540
Batch=839, step=9240, lr=0.161750, batch loss=0.285874, epoch loss=3.367415
Batch=899, step=9300, lr=0.161500, batch loss=0.250915, epoch loss=3.618330
Batch=959, step=9360, lr=0.161250, batch loss=0.188598, epoch loss=3.806928
Batch=1019, step=9420, lr=0.161000, batch loss=0.317632, epoch loss=4.124560
Batch=1079, step=9480, lr=0.160750, batch loss=0.201606, epoch loss=4.326166
Batch=1139, step=9540, lr=0.160500, batch loss=0.211918, epoch loss=4.538084
Batch=1199, step=9600, lr=0.160250, batch loss=0.167530, epoch loss=4.705614
Epoch=7, step=9600, lr=0.160250, epoch loss=4.705614
Batch=59, step=9660, lr=0.160000, batch loss=0.199022, epoch loss=0.199022
Batch=119, step=9720, lr=0.159750, batch loss=0.165533, epoch loss=0.364555
Batch=179, step=9780, lr=0.159500, batch loss=0.177885, epoch loss=0.542440
Batch=239, step=9840, lr=0.159250, batch loss=0.261815, epoch loss=0.804255
Batch=299, step=9900, lr=0.159000, batch loss=0.180184, epoch loss=0.984439
Batch=359, step=9960, lr=0.158750, batch loss=0.235730, epoch loss=1.220169
Batch=419, step=10020, lr=0.158500, batch loss=0.230455, epoch loss=1.450624
Batch=479, step=10080, lr=0.158250, batch loss=0.214672, epoch loss=1.665297
Batch=539, step=10140, lr=0.158000, batch loss=0.168631, epoch loss=1.833928
Batch=599, step=10200, lr=0.157750, batch loss=0.203104, epoch loss=2.037031
Batch=659, step=10260, lr=0.157500, batch loss=0.280054, epoch loss=2.317085
Batch=719, step=10320, lr=0.157250, batch loss=0.278063, epoch loss=2.595148
Batch=779, step=10380, lr=0.157000, batch loss=0.299135, epoch loss=2.894283
Batch=839, step=10440, lr=0.156750, batch loss=0.269682, epoch loss=3.163965
Batch=899, step=10500, lr=0.156500, batch loss=0.238816, epoch loss=3.402781
Batch=959, step=10560, lr=0.156250, batch loss=0.199134, epoch loss=3.601915
Batch=1019, step=10620, lr=0.156000, batch loss=0.281116, epoch loss=3.883031
Batch=1079, step=10680, lr=0.155750, batch loss=0.181203, epoch loss=4.064235
Batch=1139, step=10740, lr=0.155500, batch loss=0.198877, epoch loss=4.263112
Batch=1199, step=10800, lr=0.155250, batch loss=0.153918, epoch loss=4.417030
Epoch=8, step=10800, lr=0.155250, epoch loss=4.417030
Batch=59, step=10860, lr=0.155000, batch loss=0.177940, epoch loss=0.177940
Batch=119, step=10920, lr=0.154750, batch loss=0.149945, epoch loss=0.327885
Batch=179, step=10980, lr=0.154500, batch loss=0.165601, epoch loss=0.493486
Batch=239, step=11040, lr=0.154250, batch loss=0.240373, epoch loss=0.733859
Batch=299, step=11100, lr=0.154000, batch loss=0.172365, epoch loss=0.906224
Batch=359, step=11160, lr=0.153750, batch loss=0.219299, epoch loss=1.125523
Batch=419, step=11220, lr=0.153500, batch loss=0.217498, epoch loss=1.343021
Batch=479, step=11280, lr=0.153250, batch loss=0.210352, epoch loss=1.553373
Batch=539, step=11340, lr=0.153000, batch loss=0.164308, epoch loss=1.717681
Batch=599, step=11400, lr=0.152750, batch loss=0.176325, epoch loss=1.894006
Batch=659, step=11460, lr=0.152500, batch loss=0.265020, epoch loss=2.159026
Batch=719, step=11520, lr=0.152250, batch loss=0.257344, epoch loss=2.416370
Batch=779, step=11580, lr=0.152000, batch loss=0.271567, epoch loss=2.687936
Batch=839, step=11640, lr=0.151750, batch loss=0.255794, epoch loss=2.943731
Batch=899, step=11700, lr=0.151500, batch loss=0.211746, epoch loss=3.155476
Batch=959, step=11760, lr=0.151250, batch loss=0.164556, epoch loss=3.320033
Batch=1019, step=11820, lr=0.151000, batch loss=0.271346, epoch loss=3.591379
Batch=1079, step=11880, lr=0.150750, batch loss=0.149451, epoch loss=3.740830
Batch=1139, step=11940, lr=0.150500, batch loss=0.186993, epoch loss=3.927823
Batch=1199, step=12000, lr=0.150250, batch loss=0.139017, epoch loss=4.066839
Epoch=9, step=12000, lr=0.150250, epoch loss=4.066839
Batch=59, step=12060, lr=0.150000, batch loss=0.156063, epoch loss=0.156063
Batch=119, step=12120, lr=0.149750, batch loss=0.128301, epoch loss=0.284365
Batch=179, step=12180, lr=0.149500, batch loss=0.149097, epoch loss=0.433462
Batch=239, step=12240, lr=0.149250, batch loss=0.215643, epoch loss=0.649105
Batch=299, step=12300, lr=0.149000, batch loss=0.143700, epoch loss=0.792805
Batch=359, step=12360, lr=0.148750, batch loss=0.193161, epoch loss=0.985966
Batch=419, step=12420, lr=0.148500, batch loss=0.207085, epoch loss=1.193052
Batch=479, step=12480, lr=0.148250, batch loss=0.176312, epoch loss=1.369364
Batch=539, step=12540, lr=0.148000, batch loss=0.142727, epoch loss=1.512091
Batch=599, step=12600, lr=0.147750, batch loss=0.148008, epoch loss=1.660099
Batch=659, step=12660, lr=0.147500, batch loss=0.224771, epoch loss=1.884870
Batch=719, step=12720, lr=0.147250, batch loss=0.227579, epoch loss=2.112449
Batch=779, step=12780, lr=0.147000, batch loss=0.257249, epoch loss=2.369699
Batch=839, step=12840, lr=0.146750, batch loss=0.232743, epoch loss=2.602442
Batch=899, step=12900, lr=0.146500, batch loss=0.221564, epoch loss=2.824006
Batch=959, step=12960, lr=0.146250, batch loss=0.141931, epoch loss=2.965937
Batch=1019, step=13020, lr=0.146000, batch loss=0.230281, epoch loss=3.196219
Batch=1079, step=13080, lr=0.145750, batch loss=0.101506, epoch loss=3.297724
Batch=1139, step=13140, lr=0.145500, batch loss=0.137119, epoch loss=3.434843
Batch=1199, step=13200, lr=0.145250, batch loss=0.120630, epoch loss=3.555473
Epoch=10, step=13200, lr=0.145250, epoch loss=3.555473
Batch=59, step=13260, lr=0.145000, batch loss=0.154375, epoch loss=0.154375
Batch=119, step=13320, lr=0.144750, batch loss=0.127200, epoch loss=0.281575
Batch=179, step=13380, lr=0.144500, batch loss=0.125580, epoch loss=0.407156
Batch=239, step=13440, lr=0.144250, batch loss=0.187524, epoch loss=0.594680
Batch=299, step=13500, lr=0.144000, batch loss=0.118491, epoch loss=0.713170
Batch=359, step=13560, lr=0.143750, batch loss=0.159766, epoch loss=0.872936
Batch=419, step=13620, lr=0.143500, batch loss=0.166035, epoch loss=1.038971
Batch=479, step=13680, lr=0.143250, batch loss=0.147281, epoch loss=1.186252
Batch=539, step=13740, lr=0.143000, batch loss=0.115585, epoch loss=1.301837
Batch=599, step=13800, lr=0.142750, batch loss=0.118058, epoch loss=1.419895
Batch=659, step=13860, lr=0.142500, batch loss=0.174302, epoch loss=1.594197
Batch=719, step=13920, lr=0.142250, batch loss=0.169753, epoch loss=1.763950
Batch=779, step=13980, lr=0.142000, batch loss=0.176657, epoch loss=1.940607
Batch=839, step=14040, lr=0.141750, batch loss=0.199537, epoch loss=2.140144
Batch=899, step=14100, lr=0.141500, batch loss=0.220183, epoch loss=2.360327
Batch=959, step=14160, lr=0.141250, batch loss=0.105953, epoch loss=2.466280
Batch=1019, step=14220, lr=0.141000, batch loss=0.187408, epoch loss=2.653689
Batch=1079, step=14280, lr=0.140750, batch loss=0.079796, epoch loss=2.733485
Batch=1139, step=14340, lr=0.140500, batch loss=0.126140, epoch loss=2.859625
Batch=1199, step=14400, lr=0.140250, batch loss=0.084142, epoch loss=2.943767
Epoch=11, step=14400, lr=0.140250, epoch loss=2.943767
Batch=59, step=14460, lr=0.140000, batch loss=0.104121, epoch loss=0.104121
Batch=119, step=14520, lr=0.139750, batch loss=0.104182, epoch loss=0.208303
Batch=179, step=14580, lr=0.139500, batch loss=0.099142, epoch loss=0.307445
Batch=239, step=14640, lr=0.139250, batch loss=0.137458, epoch loss=0.444903
Batch=299, step=14700, lr=0.139000, batch loss=0.074489, epoch loss=0.519392
Batch=359, step=14760, lr=0.138750, batch loss=0.117928, epoch loss=0.637320
Batch=419, step=14820, lr=0.138500, batch loss=0.132128, epoch loss=0.769448
Batch=479, step=14880, lr=0.138250, batch loss=0.094566, epoch loss=0.864014
Batch=539, step=14940, lr=0.138000, batch loss=0.102416, epoch loss=0.966430
Batch=599, step=15000, lr=0.137750, batch loss=0.081167, epoch loss=1.047597
Batch=659, step=15060, lr=0.137500, batch loss=0.125408, epoch loss=1.173006
Batch=719, step=15120, lr=0.137250, batch loss=0.141250, epoch loss=1.314256
Batch=779, step=15180, lr=0.137000, batch loss=0.224158, epoch loss=1.538413
Batch=839, step=15240, lr=0.136750, batch loss=0.151447, epoch loss=1.689860
Batch=899, step=15300, lr=0.136500, batch loss=0.151157, epoch loss=1.841017
Batch=959, step=15360, lr=0.136250, batch loss=0.075910, epoch loss=1.916928
Batch=1019, step=15420, lr=0.136000, batch loss=0.161160, epoch loss=2.078087
Batch=1079, step=15480, lr=0.135750, batch loss=0.042517, epoch loss=2.120605
Batch=1139, step=15540, lr=0.135500, batch loss=0.104383, epoch loss=2.224987
Batch=1199, step=15600, lr=0.135250, batch loss=0.058993, epoch loss=2.283980
Epoch=12, step=15600, lr=0.135250, epoch loss=2.283980
Batch=59, step=15660, lr=0.135000, batch loss=0.081738, epoch loss=0.081738
Batch=119, step=15720, lr=0.134750, batch loss=0.136621, epoch loss=0.218359
Batch=179, step=15780, lr=0.134500, batch loss=0.095776, epoch loss=0.314136
Batch=239, step=15840, lr=0.134250, batch loss=0.094301, epoch loss=0.408437
Batch=299, step=15900, lr=0.134000, batch loss=0.044304, epoch loss=0.452741
Batch=359, step=15960, lr=0.133750, batch loss=0.091311, epoch loss=0.544052
Batch=419, step=16020, lr=0.133500, batch loss=0.080808, epoch loss=0.624860
Batch=479, step=16080, lr=0.133250, batch loss=0.061032, epoch loss=0.685893
Batch=539, step=16140, lr=0.133000, batch loss=0.057113, epoch loss=0.743006
Batch=599, step=16200, lr=0.132750, batch loss=0.109651, epoch loss=0.852657
Batch=659, step=16260, lr=0.132500, batch loss=0.080036, epoch loss=0.932692
Batch=719, step=16320, lr=0.132250, batch loss=0.125311, epoch loss=1.058003
Batch=779, step=16380, lr=0.132000, batch loss=0.347470, epoch loss=1.405473
Batch=839, step=16440, lr=0.131750, batch loss=0.098495, epoch loss=1.503969
Batch=899, step=16500, lr=0.131500, batch loss=0.090983, epoch loss=1.594952
Batch=959, step=16560, lr=0.131250, batch loss=0.035039, epoch loss=1.629991
Batch=1019, step=16620, lr=0.131000, batch loss=0.067412, epoch loss=1.697403
Batch=1079, step=16680, lr=0.130750, batch loss=0.041771, epoch loss=1.739174
Batch=1139, step=16740, lr=0.130500, batch loss=0.074299, epoch loss=1.813473
Batch=1199, step=16800, lr=0.130250, batch loss=0.034633, epoch loss=1.848105
Epoch=13, step=16800, lr=0.130250, epoch loss=1.848105
Batch=59, step=16860, lr=0.130000, batch loss=0.034885, epoch loss=0.034885
Batch=119, step=16920, lr=0.129750, batch loss=0.036399, epoch loss=0.071284
Batch=179, step=16980, lr=0.129500, batch loss=0.042657, epoch loss=0.113942
Batch=239, step=17040, lr=0.129250, batch loss=0.056890, epoch loss=0.170831
Batch=299, step=17100, lr=0.129000, batch loss=0.018402, epoch loss=0.189233
Batch=359, step=17160, lr=0.128750, batch loss=0.043953, epoch loss=0.233186
Batch=419, step=17220, lr=0.128500, batch loss=0.045760, epoch loss=0.278947
Batch=479, step=17280, lr=0.128250, batch loss=0.030335, epoch loss=0.309282
Batch=539, step=17340, lr=0.128000, batch loss=0.041039, epoch loss=0.350321
Batch=599, step=17400, lr=0.127750, batch loss=0.086415, epoch loss=0.436735
Batch=659, step=17460, lr=0.127500, batch loss=0.050596, epoch loss=0.487331
Batch=719, step=17520, lr=0.127250, batch loss=0.072121, epoch loss=0.559452
Batch=779, step=17580, lr=0.127000, batch loss=0.108251, epoch loss=0.667704
Batch=839, step=17640, lr=0.126750, batch loss=0.079343, epoch loss=0.747046
Batch=899, step=17700, lr=0.126500, batch loss=0.111334, epoch loss=0.858380
Batch=959, step=17760, lr=0.126250, batch loss=0.024868, epoch loss=0.883248
Batch=1019, step=17820, lr=0.126000, batch loss=0.037801, epoch loss=0.921049
Batch=1079, step=17880, lr=0.125750, batch loss=0.012109, epoch loss=0.933157
Batch=1139, step=17940, lr=0.125500, batch loss=0.031179, epoch loss=0.964336
Batch=1199, step=18000, lr=0.125250, batch loss=0.013910, epoch loss=0.978247
Epoch=14, step=18000, lr=0.125250, epoch loss=0.978247
Batch=59, step=18060, lr=0.125000, batch loss=0.010442, epoch loss=0.010442
Batch=119, step=18120, lr=0.124750, batch loss=0.042029, epoch loss=0.052471
Batch=179, step=18180, lr=0.124500, batch loss=0.095636, epoch loss=0.148107
Batch=239, step=18240, lr=0.124250, batch loss=0.045771, epoch loss=0.193879
Batch=299, step=18300, lr=0.124000, batch loss=0.009892, epoch loss=0.203771
Batch=359, step=18360, lr=0.123750, batch loss=0.027378, epoch loss=0.231149
Batch=419, step=18420, lr=0.123500, batch loss=0.028645, epoch loss=0.259794
Batch=479, step=18480, lr=0.123250, batch loss=0.014454, epoch loss=0.274248
Batch=539, step=18540, lr=0.123000, batch loss=0.020373, epoch loss=0.294621
Batch=599, step=18600, lr=0.122750, batch loss=0.026888, epoch loss=0.321509
Batch=659, step=18660, lr=0.122500, batch loss=0.025444, epoch loss=0.346953
Batch=719, step=18720, lr=0.122250, batch loss=0.051583, epoch loss=0.398536
Batch=779, step=18780, lr=0.122000, batch loss=0.097341, epoch loss=0.495877
Batch=839, step=18840, lr=0.121750, batch loss=0.069198, epoch loss=0.565075
Batch=899, step=18900, lr=0.121500, batch loss=0.079014, epoch loss=0.644089
Batch=959, step=18960, lr=0.121250, batch loss=0.014431, epoch loss=0.658520
Batch=1019, step=19020, lr=0.121000, batch loss=0.022337, epoch loss=0.680857
Batch=1079, step=19080, lr=0.120750, batch loss=0.005855, epoch loss=0.686712
Batch=1139, step=19140, lr=0.120500, batch loss=0.025348, epoch loss=0.712060
Batch=1199, step=19200, lr=0.120250, batch loss=0.010813, epoch loss=0.722873
Epoch=15, step=19200, lr=0.120250, epoch loss=0.722873
Batch=59, step=19260, lr=0.120000, batch loss=0.005308, epoch loss=0.005308
Batch=119, step=19320, lr=0.119750, batch loss=0.019624, epoch loss=0.024933
Batch=179, step=19380, lr=0.119500, batch loss=0.044145, epoch loss=0.069077
Batch=239, step=19440, lr=0.119250, batch loss=0.022185, epoch loss=0.091263
Batch=299, step=19500, lr=0.119000, batch loss=0.005010, epoch loss=0.096273
Batch=359, step=19560, lr=0.118750, batch loss=0.017083, epoch loss=0.113356
Batch=419, step=19620, lr=0.118500, batch loss=0.020619, epoch loss=0.133975
Batch=479, step=19680, lr=0.118250, batch loss=0.009717, epoch loss=0.143692
Batch=539, step=19740, lr=0.118000, batch loss=0.019844, epoch loss=0.163536
Batch=599, step=19800, lr=0.117750, batch loss=0.020399, epoch loss=0.183935
Batch=659, step=19860, lr=0.117500, batch loss=0.019836, epoch loss=0.203770
Batch=719, step=19920, lr=0.117250, batch loss=0.021117, epoch loss=0.224887
Batch=779, step=19980, lr=0.117000, batch loss=0.035920, epoch loss=0.260807
Batch=839, step=20040, lr=0.116750, batch loss=0.031466, epoch loss=0.292273
Batch=899, step=20100, lr=0.116500, batch loss=0.029870, epoch loss=0.322142
Batch=959, step=20160, lr=0.116250, batch loss=0.011343, epoch loss=0.333486
Batch=1019, step=20220, lr=0.116000, batch loss=0.013426, epoch loss=0.346912
Batch=1079, step=20280, lr=0.115750, batch loss=0.005204, epoch loss=0.352116
Batch=1139, step=20340, lr=0.115500, batch loss=0.019147, epoch loss=0.371262
Batch=1199, step=20400, lr=0.115250, batch loss=0.007768, epoch loss=0.379030
Epoch=16, step=20400, lr=0.115250, epoch loss=0.379030
Batch=59, step=20460, lr=0.115000, batch loss=0.003449, epoch loss=0.003449
Batch=119, step=20520, lr=0.114750, batch loss=0.008830, epoch loss=0.012279
Batch=179, step=20580, lr=0.114500, batch loss=0.016819, epoch loss=0.029098
Batch=239, step=20640, lr=0.114250, batch loss=0.021598, epoch loss=0.050697
Batch=299, step=20700, lr=0.114000, batch loss=0.010104, epoch loss=0.060800
Batch=359, step=20760, lr=0.113750, batch loss=0.014185, epoch loss=0.074985
Batch=419, step=20820, lr=0.113500, batch loss=0.014992, epoch loss=0.089977
Batch=479, step=20880, lr=0.113250, batch loss=0.003508, epoch loss=0.093485
Batch=539, step=20940, lr=0.113000, batch loss=0.018529, epoch loss=0.112014
Batch=599, step=21000, lr=0.112750, batch loss=0.020776, epoch loss=0.132790
Batch=659, step=21060, lr=0.112500, batch loss=0.017372, epoch loss=0.150163
Batch=719, step=21120, lr=0.112250, batch loss=0.047898, epoch loss=0.198060
Batch=779, step=21180, lr=0.112000, batch loss=0.068545, epoch loss=0.266605
Batch=839, step=21240, lr=0.111750, batch loss=0.025232, epoch loss=0.291837
Batch=899, step=21300, lr=0.111500, batch loss=0.029134, epoch loss=0.320971
Batch=959, step=21360, lr=0.111250, batch loss=0.010920, epoch loss=0.331891
Batch=1019, step=21420, lr=0.111000, batch loss=0.013048, epoch loss=0.344939
Batch=1079, step=21480, lr=0.110750, batch loss=0.001723, epoch loss=0.346662
Batch=1139, step=21540, lr=0.110500, batch loss=0.012834, epoch loss=0.359495
Batch=1199, step=21600, lr=0.110250, batch loss=0.005053, epoch loss=0.364549
Epoch=17, step=21600, lr=0.110250, epoch loss=0.364549
Batch=59, step=21660, lr=0.110000, batch loss=0.002123, epoch loss=0.002123
Batch=119, step=21720, lr=0.109750, batch loss=0.006879, epoch loss=0.009002
Batch=179, step=21780, lr=0.109500, batch loss=0.013295, epoch loss=0.022298
Batch=239, step=21840, lr=0.109250, batch loss=0.010300, epoch loss=0.032597
Batch=299, step=21900, lr=0.109000, batch loss=0.012601, epoch loss=0.045198
Batch=359, step=21960, lr=0.108750, batch loss=0.013223, epoch loss=0.058421
Batch=419, step=22020, lr=0.108500, batch loss=0.012447, epoch loss=0.070868
Batch=479, step=22080, lr=0.108250, batch loss=0.003060, epoch loss=0.073928
Batch=539, step=22140, lr=0.108000, batch loss=0.017591, epoch loss=0.091519
Batch=599, step=22200, lr=0.107750, batch loss=0.017344, epoch loss=0.108863
Batch=659, step=22260, lr=0.107500, batch loss=0.014454, epoch loss=0.123317
Batch=719, step=22320, lr=0.107250, batch loss=0.027774, epoch loss=0.151091
Batch=779, step=22380, lr=0.107000, batch loss=0.042806, epoch loss=0.193897
Batch=839, step=22440, lr=0.106750, batch loss=0.022371, epoch loss=0.216268
Batch=899, step=22500, lr=0.106500, batch loss=0.022681, epoch loss=0.238948
Batch=959, step=22560, lr=0.106250, batch loss=0.011232, epoch loss=0.250181
Batch=1019, step=22620, lr=0.106000, batch loss=0.009408, epoch loss=0.259589
Batch=1079, step=22680, lr=0.105750, batch loss=0.000038, epoch loss=0.259627
Batch=1139, step=22740, lr=0.105500, batch loss=0.010202, epoch loss=0.269829
Batch=1199, step=22800, lr=0.105250, batch loss=0.004758, epoch loss=0.274587
Epoch=18, step=22800, lr=0.105250, epoch loss=0.274587
Batch=59, step=22860, lr=0.105000, batch loss=0.001852, epoch loss=0.001852
Batch=119, step=22920, lr=0.104750, batch loss=0.005617, epoch loss=0.007468
Batch=179, step=22980, lr=0.104500, batch loss=0.010845, epoch loss=0.018314
Batch=239, step=23040, lr=0.104250, batch loss=0.011689, epoch loss=0.030003
Batch=299, step=23100, lr=0.104000, batch loss=0.008163, epoch loss=0.038166
Batch=359, step=23160, lr=0.103750, batch loss=0.011105, epoch loss=0.049271
Batch=419, step=23220, lr=0.103500, batch loss=0.010886, epoch loss=0.060156
Batch=479, step=23280, lr=0.103250, batch loss=0.002489, epoch loss=0.062646
Batch=539, step=23340, lr=0.103000, batch loss=0.017076, epoch loss=0.079722
Batch=599, step=23400, lr=0.102750, batch loss=0.014149, epoch loss=0.093871
Batch=659, step=23460, lr=0.102500, batch loss=0.010460, epoch loss=0.104331
Batch=719, step=23520, lr=0.102250, batch loss=0.014684, epoch loss=0.119015
Batch=779, step=23580, lr=0.102000, batch loss=0.022229, epoch loss=0.141245
Batch=839, step=23640, lr=0.101750, batch loss=0.028096, epoch loss=0.169341
Batch=899, step=23700, lr=0.101500, batch loss=0.021932, epoch loss=0.191272
Batch=959, step=23760, lr=0.101250, batch loss=0.010253, epoch loss=0.201525
Batch=1019, step=23820, lr=0.101000, batch loss=0.007298, epoch loss=0.208824
Batch=1079, step=23880, lr=0.100750, batch loss=0.001342, epoch loss=0.210165
Batch=1139, step=23940, lr=0.100500, batch loss=0.008710, epoch loss=0.218876
Batch=1199, step=24000, lr=0.100250, batch loss=0.004668, epoch loss=0.223544
Epoch=19, step=24000, lr=0.100250, epoch loss=0.223544


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 16:29.31 ---> saved as "3a1b4a0400ad29c2d906ab2a345e9579dc5e5b6a128a3b65e61dd3f42d76dca4"
Job succeeded
2025-05-10 16:29.31: Job succeeded