debian-12-5.3_ppc64_opam-2.3

2025-05-10 12:25.54: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d36b4190f8f9185142030f887cf3e5946a90527d) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d36b4190
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f
# debian-12-5.3_ppc64_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 12:25.54: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f-debian-12-5.3_ppc64_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-10 12:25.54: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f)
(comment debian-12-5.3_ppc64_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 12:25.54: Waiting for resource in pool OCluster
2025-05-10 12:26.13: Waiting for worker…
2025-05-10 12:26.13: Got resource from pool OCluster
Building on orithia.caelum.ci.dev
All commits already cached
HEAD is now at d36b4190 experiment


(from ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f' locally
docker.io/ocaml/opam@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f: Pulling from ocaml/opam
Digest: sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f
Status: Downloaded newer image for ocaml/opam@sha256:e02db52b4786c0140a88a7ce65e51b43ea08675bf9ac59a987f144b54907ed1f
2025-05-10 12:25.55 ---> using "c4635525160c9f185a969ee812d6101e71fefa1ed329a5898c9422fb30c6512a" from cache


/: (comment debian-12-5.3_ppc64_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 12:25.55 ---> using "4e9719c80ce561fffd0cc76802598cfcd57ca2847222a8c998d4a21a3b71d577" 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 12:26.29 ---> saved as "c578370adbc5087aa27747e9f0370d2ae139ce1ed965c7b6c59e043adc113803"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 6.8.0-58-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-10 12:26.30 ---> saved as "62f9b695304e1372bbeceabf06a5730df030c63db289471a97379b2bfe6dd883"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:26.30 ---> saved as "67acfddc9eaa74ca1a3b210e7cecfe4216f9afd47f84e1282ed78076dabb3426"


/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 12:27.06 ---> saved as "8e47d4d7f2efcebdefff0aece806ab8894507d410e0963d4c43c9432d4cea2f3"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:27.07 ---> saved as "dd208111dd32cf1178ae1ce34c2f0c893e6d3b77483bc7f8521e1e22749f5fef"


/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 12:27.12 ---> saved as "428dacba5bcfdde8b5ab69173676756a4d9c54a0c4b88877f3bf7fe315f14eec"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:27.12 ---> saved as "622c6806e21a499d2630172a9f95881ff4c8fe0ae047c849dcdbd2d55d36884c"


/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 ppc64el Packages [247 kB]
- Fetched 350 kB in 0s (971 kB/s)
- Reading package lists...
- 


<><> 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-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:ppc64el.
- (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 ... 18720 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ...
- Unpacking libffi-dev:ppc64el (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:ppc64el.
- Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ...
- Unpacking libpkgconf3:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:ppc64el.
- Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkg-config:ppc64el.
- Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ...
- Unpacking pkg-config:ppc64el (1.8.1-1) ...
- Setting up libffi-dev:ppc64el (3.4.4-1) ...
- Setting up libpkgconf3:ppc64el (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:ppc64el (1.8.1-1) ...
- Setting up pkg-config:ppc64el (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-05-10 12:27.33 ---> saved as "688f5c4e9bf044ce353bac6613a7dbfb145abcb27506fe8439871f4655103c45"


/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 bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (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 ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (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)
-> installed cmdliner.1.3.0
-> 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_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (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 result.1.5  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (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 cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed tyxml.4.6.0
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed bigstringaf.0.10.0
-> installed printbox-html.0.12
-> installed angstrom.0.16.1
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed base.v0.17.2
-> installed ctypes-foreign.0.23.0
-> installed printbox-text.0.12
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> 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_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_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_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 12:32.29 ---> saved as "d07ae1831173986288638817abc603afacd78d8e8c877b3d8e79d7bee0a23844"


/src: (copy (src .) (dst /src))
2025-05-10 12:32.37 ---> saved as "85445b9901ac32586b3540535c57fa1e099ba135a5cf5b0994a92c66e1c5875d"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test_ppx && ./test_ppx_op_expected.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test_ppx && ./test_ppx_op.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/dbc2fb562639d6e75d986231683677ad/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/e64dfca31082855c1a35427c2ea37a8c/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/e64dfca31082855c1a35427c2ea37a8c/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 128))))
@!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=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238370, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180500, batch loss=0.208592, epoch loss=4.840093
Batch=1139, step=4740, lr=0.180500, batch loss=0.249026, epoch loss=5.089120
Batch=1199, step=4800, lr=0.180250, batch loss=0.191317, epoch loss=5.280437
Epoch=3, step=4800, lr=0.180250, epoch loss=5.280437
Batch=59, step=4860, lr=0.180000, batch loss=0.225434, epoch loss=0.225434
Batch=119, step=4920, lr=0.179750, batch loss=0.186290, epoch loss=0.411724
Batch=179, step=4980, lr=0.179500, batch loss=0.205638, epoch loss=0.617362
Batch=239, step=5040, lr=0.179000, batch loss=0.307239, epoch loss=0.924600
Batch=299, step=5100, lr=0.179000, batch loss=0.208159, epoch loss=1.132759
Batch=359, step=5160, lr=0.178500, batch loss=0.276849, epoch loss=1.409608
Batch=419, step=5220, lr=0.178250, batch loss=0.271860, epoch loss=1.681468
Batch=479, step=5280, lr=0.178250, batch loss=0.249567, epoch loss=1.931035
Batch=539, step=5340, lr=0.178000, batch loss=0.196752, epoch loss=2.127787
Batch=599, step=5400, lr=0.177750, batch loss=0.240559, epoch loss=2.368346
Batch=659, step=5460, lr=0.177500, batch loss=0.318944, epoch loss=2.687290
Batch=719, step=5520, lr=0.177250, batch loss=0.325873, epoch loss=3.013163
Batch=779, step=5580, lr=0.177000, batch loss=0.346718, epoch loss=3.359882
Batch=839, step=5640, lr=0.176750, batch loss=0.305931, epoch loss=3.665813
Batch=899, step=5700, lr=0.176500, batch loss=0.270120, epoch loss=3.935932
Batch=959, step=5760, lr=0.176000, batch loss=0.215260, epoch loss=4.151193
Batch=1019, step=5820, lr=0.176000, batch loss=0.333430, epoch loss=4.484623
Batch=1079, step=5880, lr=0.175750, batch loss=0.192551, epoch loss=4.677174
Batch=1139, step=5940, lr=0.175500, batch loss=0.223804, epoch loss=4.900978
Batch=1199, step=6000, lr=0.175250, batch loss=0.189062, epoch loss=5.090040
Epoch=4, step=6000, lr=0.175250, epoch loss=5.090040
Batch=59, step=6060, lr=0.175000, batch loss=0.234496, epoch loss=0.234496
Batch=119, step=6120, lr=0.174750, batch loss=0.192047, epoch loss=0.426542
Batch=179, step=6180, lr=0.174500, batch loss=0.201235, epoch loss=0.627778
Batch=239, step=6240, lr=0.174250, batch loss=0.299006, epoch loss=0.926784
Batch=299, step=6300, lr=0.174000, batch loss=0.200488, epoch loss=1.127272
Batch=359, step=6360, lr=0.173500, batch loss=0.263307, epoch loss=1.390579
Batch=419, step=6420, lr=0.173500, batch loss=0.257837, epoch loss=1.648417
Batch=479, step=6480, lr=0.173250, batch loss=0.231838, epoch loss=1.880254
Batch=539, step=6540, lr=0.173000, batch loss=0.189644, epoch loss=2.069898
Batch=599, step=6600, lr=0.172750, batch loss=0.225029, epoch loss=2.294927
Batch=659, step=6660, lr=0.172250, batch loss=0.316021, epoch loss=2.610948
Batch=719, step=6720, lr=0.172250, batch loss=0.313157, epoch loss=2.924106
Batch=779, step=6780, lr=0.172000, batch loss=0.332520, epoch loss=3.256626
Batch=839, step=6840, lr=0.171750, batch loss=0.303056, epoch loss=3.559681
Batch=899, step=6900, lr=0.171500, batch loss=0.267530, epoch loss=3.827211
Batch=959, step=6960, lr=0.171250, batch loss=0.210488, epoch loss=4.037699
Batch=1019, step=7020, lr=0.171000, batch loss=0.330383, epoch loss=4.368082
Batch=1079, step=7080, lr=0.170750, batch loss=0.182517, epoch loss=4.550599
Batch=1139, step=7140, lr=0.170500, batch loss=0.216072, epoch loss=4.766671
Batch=1199, step=7200, lr=0.170250, batch loss=0.182181, epoch loss=4.948851
Epoch=5, step=7200, lr=0.170250, epoch loss=4.948851
Batch=59, step=7260, lr=0.170000, batch loss=0.241555, epoch loss=0.241555
Batch=119, step=7320, lr=0.169750, batch loss=0.179209, epoch loss=0.420764
Batch=179, step=7380, lr=0.169500, batch loss=0.194593, epoch loss=0.615357
Batch=239, step=7440, lr=0.169250, batch loss=0.290563, epoch loss=0.905920
Batch=299, step=7500, lr=0.169000, batch loss=0.208639, epoch loss=1.114559
Batch=359, step=7560, lr=0.168750, batch loss=0.262934, epoch loss=1.377494
Batch=419, step=7620, lr=0.168500, batch loss=0.259556, epoch loss=1.637050
Batch=479, step=7680, lr=0.168250, batch loss=0.233162, epoch loss=1.870212
Batch=539, step=7740, lr=0.168000, batch loss=0.192499, epoch loss=2.062711
Batch=599, step=7800, lr=0.167750, batch loss=0.227094, epoch loss=2.289805
Batch=659, step=7860, lr=0.167500, batch loss=0.305232, epoch loss=2.595037
Batch=719, step=7920, lr=0.167250, batch loss=0.308406, epoch loss=2.903444
Batch=779, step=7980, lr=0.167000, batch loss=0.329707, epoch loss=3.233150
Batch=839, step=8040, lr=0.166750, batch loss=0.292102, epoch loss=3.525252
Batch=899, step=8100, lr=0.166500, batch loss=0.263535, epoch loss=3.788787
Batch=959, step=8160, lr=0.166250, batch loss=0.208999, epoch loss=3.997786
Batch=1019, step=8220, lr=0.166000, batch loss=0.317101, epoch loss=4.314887
Batch=1079, step=8280, lr=0.165750, batch loss=0.170208, epoch loss=4.485096
Batch=1139, step=8340, lr=0.165500, batch loss=0.207077, epoch loss=4.692173
Batch=1199, step=8400, lr=0.165250, batch loss=0.179402, epoch loss=4.871574
Epoch=6, step=8400, lr=0.165250, epoch loss=4.871574
Batch=59, step=8460, lr=0.165000, batch loss=0.226682, epoch loss=0.226682
Batch=119, step=8520, lr=0.164750, batch loss=0.176766, epoch loss=0.403448
Batch=179, step=8580, lr=0.164500, batch loss=0.187099, epoch loss=0.590547
Batch=239, step=8640, lr=0.164250, batch loss=0.278015, epoch loss=0.868562
Batch=299, step=8700, lr=0.164000, batch loss=0.199382, epoch loss=1.067944
Batch=359, step=8760, lr=0.163750, batch loss=0.252700, epoch loss=1.320643
Batch=419, step=8820, lr=0.163500, batch loss=0.245806, epoch loss=1.566449
Batch=479, step=8880, lr=0.163250, batch loss=0.227896, epoch loss=1.794345
Batch=539, step=8940, lr=0.163000, batch loss=0.179525, epoch loss=1.973870
Batch=599, step=9000, lr=0.162750, batch loss=0.217084, epoch loss=2.190955
Batch=659, step=9060, lr=0.162500, batch loss=0.293751, epoch loss=2.484706
Batch=719, step=9120, lr=0.162250, batch loss=0.292146, epoch loss=2.776852
Batch=779, step=9180, lr=0.162000, batch loss=0.311179, epoch loss=3.088030
Batch=839, step=9240, lr=0.161750, batch loss=0.281113, epoch loss=3.369143
Batch=899, step=9300, lr=0.161500, batch loss=0.251947, epoch loss=3.621090
Batch=959, step=9360, lr=0.161250, batch loss=0.187055, epoch loss=3.808145
Batch=1019, step=9420, lr=0.161000, batch loss=0.319739, epoch loss=4.127884
Batch=1079, step=9480, lr=0.160750, batch loss=0.198304, epoch loss=4.326188
Batch=1139, step=9540, lr=0.160500, batch loss=0.212516, epoch loss=4.538705
Batch=1199, step=9600, lr=0.160250, batch loss=0.167185, epoch loss=4.705890
Epoch=7, step=9600, lr=0.160250, epoch loss=4.705890
Batch=59, step=9660, lr=0.160000, batch loss=0.200625, epoch loss=0.200625
Batch=119, step=9720, lr=0.159750, batch loss=0.163971, epoch loss=0.364596
Batch=179, step=9780, lr=0.159500, batch loss=0.178075, epoch loss=0.542670
Batch=239, step=9840, lr=0.159250, batch loss=0.262617, epoch loss=0.805288
Batch=299, step=9900, lr=0.159000, batch loss=0.179322, epoch loss=0.984609
Batch=359, step=9960, lr=0.158750, batch loss=0.242258, epoch loss=1.226867
Batch=419, step=10020, lr=0.158500, batch loss=0.238100, epoch loss=1.464967
Batch=479, step=10080, lr=0.158250, batch loss=0.226613, epoch loss=1.691580
Batch=539, step=10140, lr=0.158000, batch loss=0.178577, epoch loss=1.870156
Batch=599, step=10200, lr=0.157750, batch loss=0.201150, epoch loss=2.071307
Batch=659, step=10260, lr=0.157500, batch loss=0.282366, epoch loss=2.353672
Batch=719, step=10320, lr=0.157250, batch loss=0.279080, epoch loss=2.632752
Batch=779, step=10380, lr=0.157000, batch loss=0.295759, epoch loss=2.928511
Batch=839, step=10440, lr=0.156750, batch loss=0.269989, epoch loss=3.198500
Batch=899, step=10500, lr=0.156500, batch loss=0.237236, epoch loss=3.435736
Batch=959, step=10560, lr=0.156250, batch loss=0.176351, epoch loss=3.612087
Batch=1019, step=10620, lr=0.156000, batch loss=0.298635, epoch loss=3.910722
Batch=1079, step=10680, lr=0.155750, batch loss=0.176569, epoch loss=4.087291
Batch=1139, step=10740, lr=0.155500, batch loss=0.200081, epoch loss=4.287372
Batch=1199, step=10800, lr=0.155250, batch loss=0.154793, epoch loss=4.442165
Epoch=8, step=10800, lr=0.155250, epoch loss=4.442165
Batch=59, step=10860, lr=0.155000, batch loss=0.176422, epoch loss=0.176422
Batch=119, step=10920, lr=0.154750, batch loss=0.151138, epoch loss=0.327559
Batch=179, step=10980, lr=0.154500, batch loss=0.165634, epoch loss=0.493193
Batch=239, step=11040, lr=0.154250, batch loss=0.242730, epoch loss=0.735924
Batch=299, step=11100, lr=0.154000, batch loss=0.166158, epoch loss=0.902082
Batch=359, step=11160, lr=0.153750, batch loss=0.221533, epoch loss=1.123615
Batch=419, step=11220, lr=0.153500, batch loss=0.226066, epoch loss=1.349681
Batch=479, step=11280, lr=0.153250, batch loss=0.204601, epoch loss=1.554282
Batch=539, step=11340, lr=0.153000, batch loss=0.157705, epoch loss=1.711987
Batch=599, step=11400, lr=0.152750, batch loss=0.186014, epoch loss=1.898001
Batch=659, step=11460, lr=0.152500, batch loss=0.261969, epoch loss=2.159970
Batch=719, step=11520, lr=0.152250, batch loss=0.251574, epoch loss=2.411544
Batch=779, step=11580, lr=0.152000, batch loss=0.268770, epoch loss=2.680314
Batch=839, step=11640, lr=0.151750, batch loss=0.248187, epoch loss=2.928501
Batch=899, step=11700, lr=0.151500, batch loss=0.217179, epoch loss=3.145680
Batch=959, step=11760, lr=0.151250, batch loss=0.170772, epoch loss=3.316452
Batch=1019, step=11820, lr=0.150750, batch loss=0.260358, epoch loss=3.576810
Batch=1079, step=11880, lr=0.150750, batch loss=0.146234, epoch loss=3.723044
Batch=1139, step=11940, lr=0.150250, batch loss=0.181235, epoch loss=3.904279
Batch=1199, step=12000, lr=0.150250, batch loss=0.138956, epoch loss=4.043235
Epoch=9, step=12000, lr=0.150250, epoch loss=4.043235
Batch=59, step=12060, lr=0.150000, batch loss=0.159233, epoch loss=0.159233
Batch=119, step=12120, lr=0.149750, batch loss=0.137502, epoch loss=0.296734
Batch=179, step=12180, lr=0.149500, batch loss=0.150025, epoch loss=0.446759
Batch=239, step=12240, lr=0.149000, batch loss=0.218083, epoch loss=0.664842
Batch=299, step=12300, lr=0.149000, batch loss=0.140863, epoch loss=0.805705
Batch=359, step=12360, lr=0.148500, batch loss=0.196433, epoch loss=1.002138
Batch=419, step=12420, lr=0.148500, batch loss=0.205423, epoch loss=1.207561
Batch=479, step=12480, lr=0.148250, batch loss=0.177594, epoch loss=1.385155
Batch=539, step=12540, lr=0.148000, batch loss=0.141592, epoch loss=1.526747
Batch=599, step=12600, lr=0.147750, batch loss=0.147755, epoch loss=1.674501
Batch=659, step=12660, lr=0.147500, batch loss=0.226752, epoch loss=1.901253
Batch=719, step=12720, lr=0.147250, batch loss=0.238099, epoch loss=2.139352
Batch=779, step=12780, lr=0.147000, batch loss=0.263196, epoch loss=2.402549
Batch=839, step=12840, lr=0.146750, batch loss=0.235458, epoch loss=2.638007
Batch=899, step=12900, lr=0.146500, batch loss=0.213276, epoch loss=2.851284
Batch=959, step=12960, lr=0.146250, batch loss=0.149400, epoch loss=3.000684
Batch=1019, step=13020, lr=0.146000, batch loss=0.266675, epoch loss=3.267358
Batch=1079, step=13080, lr=0.145750, batch loss=0.107609, epoch loss=3.374967
Batch=1139, step=13140, lr=0.145500, batch loss=0.143354, epoch loss=3.518321
Batch=1199, step=13200, lr=0.145250, batch loss=0.119314, epoch loss=3.637635
Epoch=10, step=13200, lr=0.145250, epoch loss=3.637635
Batch=59, step=13260, lr=0.145000, batch loss=0.137363, epoch loss=0.137363
Batch=119, step=13320, lr=0.144750, batch loss=0.116504, epoch loss=0.253868
Batch=179, step=13380, lr=0.144500, batch loss=0.126417, epoch loss=0.380284
Batch=239, step=13440, lr=0.144250, batch loss=0.181923, epoch loss=0.562207
Batch=299, step=13500, lr=0.144000, batch loss=0.118552, epoch loss=0.680759
Batch=359, step=13560, lr=0.143750, batch loss=0.160624, epoch loss=0.841384
Batch=419, step=13620, lr=0.143500, batch loss=0.161685, epoch loss=1.003069
Batch=479, step=13680, lr=0.143250, batch loss=0.142184, epoch loss=1.145253
Batch=539, step=13740, lr=0.143000, batch loss=0.119297, epoch loss=1.264550
Batch=599, step=13800, lr=0.142750, batch loss=0.118796, epoch loss=1.383347
Batch=659, step=13860, lr=0.142500, batch loss=0.174668, epoch loss=1.558014
Batch=719, step=13920, lr=0.142250, batch loss=0.173494, epoch loss=1.731508
Batch=779, step=13980, lr=0.142000, batch loss=0.198464, epoch loss=1.929972
Batch=839, step=14040, lr=0.141750, batch loss=0.201459, epoch loss=2.131431
Batch=899, step=14100, lr=0.141500, batch loss=0.223081, epoch loss=2.354512
Batch=959, step=14160, lr=0.141250, batch loss=0.096525, epoch loss=2.451037
Batch=1019, step=14220, lr=0.141000, batch loss=0.193977, epoch loss=2.645014
Batch=1079, step=14280, lr=0.140750, batch loss=0.079387, epoch loss=2.724401
Batch=1139, step=14340, lr=0.140500, batch loss=0.130719, epoch loss=2.855120
Batch=1199, step=14400, lr=0.140250, batch loss=0.085814, epoch loss=2.940934
Epoch=11, step=14400, lr=0.140250, epoch loss=2.940934
Batch=59, step=14460, lr=0.140000, batch loss=0.102787, epoch loss=0.102787
Batch=119, step=14520, lr=0.139750, batch loss=0.097985, epoch loss=0.200772
Batch=179, step=14580, lr=0.139500, batch loss=0.099482, epoch loss=0.300254
Batch=239, step=14640, lr=0.139250, batch loss=0.140029, epoch loss=0.440283
Batch=299, step=14700, lr=0.139000, batch loss=0.074872, epoch loss=0.515155
Batch=359, step=14760, lr=0.138750, batch loss=0.119364, epoch loss=0.634519
Batch=419, step=14820, lr=0.138500, batch loss=0.128880, epoch loss=0.763399
Batch=479, step=14880, lr=0.138250, batch loss=0.100672, epoch loss=0.864072
Batch=539, step=14940, lr=0.138000, batch loss=0.113717, epoch loss=0.977788
Batch=599, step=15000, lr=0.137750, batch loss=0.083226, epoch loss=1.061014
Batch=659, step=15060, lr=0.137500, batch loss=0.126309, epoch loss=1.187324
Batch=719, step=15120, lr=0.137250, batch loss=0.123512, epoch loss=1.310835
Batch=779, step=15180, lr=0.137000, batch loss=0.155273, epoch loss=1.466108
Batch=839, step=15240, lr=0.136750, batch loss=0.158509, epoch loss=1.624618
Batch=899, step=15300, lr=0.136500, batch loss=0.281620, epoch loss=1.906238
Batch=959, step=15360, lr=0.136250, batch loss=0.059148, epoch loss=1.965386
Batch=1019, step=15420, lr=0.136000, batch loss=0.135868, epoch loss=2.101254
Batch=1079, step=15480, lr=0.135750, batch loss=0.040066, epoch loss=2.141320
Batch=1139, step=15540, lr=0.135500, batch loss=0.095669, epoch loss=2.236989
Batch=1199, step=15600, lr=0.135250, batch loss=0.060022, epoch loss=2.297010
Epoch=12, step=15600, lr=0.135250, epoch loss=2.297010
Batch=59, step=15660, lr=0.135000, batch loss=0.082938, epoch loss=0.082938
Batch=119, step=15720, lr=0.134750, batch loss=0.124788, epoch loss=0.207726
Batch=179, step=15780, lr=0.134500, batch loss=0.096047, epoch loss=0.303773
Batch=239, step=15840, lr=0.134250, batch loss=0.096296, epoch loss=0.400069
Batch=299, step=15900, lr=0.134000, batch loss=0.038095, epoch loss=0.438164
Batch=359, step=15960, lr=0.133750, batch loss=0.083813, epoch loss=0.521977
Batch=419, step=16020, lr=0.133500, batch loss=0.077220, epoch loss=0.599197
Batch=479, step=16080, lr=0.133250, batch loss=0.054996, epoch loss=0.654193
Batch=539, step=16140, lr=0.133000, batch loss=0.072749, epoch loss=0.726943
Batch=599, step=16200, lr=0.132750, batch loss=0.172271, epoch loss=0.899214
Batch=659, step=16260, lr=0.132500, batch loss=0.098108, epoch loss=0.997322
Batch=719, step=16320, lr=0.132250, batch loss=0.113800, epoch loss=1.111121
Batch=779, step=16380, lr=0.132000, batch loss=0.261340, epoch loss=1.372461
Batch=839, step=16440, lr=0.131750, batch loss=0.088623, epoch loss=1.461084
Batch=899, step=16500, lr=0.131500, batch loss=0.075189, epoch loss=1.536273
Batch=959, step=16560, lr=0.131250, batch loss=0.030825, epoch loss=1.567098
Batch=1019, step=16620, lr=0.131000, batch loss=0.067424, epoch loss=1.634522
Batch=1079, step=16680, lr=0.130750, batch loss=0.043086, epoch loss=1.677609
Batch=1139, step=16740, lr=0.130250, batch loss=0.076614, epoch loss=1.754223
Batch=1199, step=16800, lr=0.130250, batch loss=0.035128, epoch loss=1.789351
Epoch=13, step=16800, lr=0.130250, epoch loss=1.789351
Batch=59, step=16860, lr=0.130000, batch loss=0.031821, epoch loss=0.031821
Batch=119, step=16920, lr=0.129750, batch loss=0.036076, epoch loss=0.067897
Batch=179, step=16980, lr=0.129500, batch loss=0.041709, epoch loss=0.109606
Batch=239, step=17040, lr=0.129000, batch loss=0.054706, epoch loss=0.164312
Batch=299, step=17100, lr=0.129000, batch loss=0.018123, epoch loss=0.182435
Batch=359, step=17160, lr=0.128750, batch loss=0.044177, epoch loss=0.226612
Batch=419, step=17220, lr=0.128500, batch loss=0.045075, epoch loss=0.271687
Batch=479, step=17280, lr=0.128250, batch loss=0.032771, epoch loss=0.304458
Batch=539, step=17340, lr=0.128000, batch loss=0.062343, epoch loss=0.366801
Batch=599, step=17400, lr=0.127750, batch loss=0.034223, epoch loss=0.401024
Batch=659, step=17460, lr=0.127500, batch loss=0.046788, epoch loss=0.447812
Batch=719, step=17520, lr=0.127250, batch loss=0.051789, epoch loss=0.499602
Batch=779, step=17580, lr=0.127000, batch loss=0.122993, epoch loss=0.622594
Batch=839, step=17640, lr=0.126750, batch loss=0.096904, epoch loss=0.719498
Batch=899, step=17700, lr=0.126500, batch loss=0.141511, epoch loss=0.861009
Batch=959, step=17760, lr=0.126250, batch loss=0.018842, epoch loss=0.879851
Batch=1019, step=17820, lr=0.126000, batch loss=0.040233, epoch loss=0.920084
Batch=1079, step=17880, lr=0.125750, batch loss=0.014586, epoch loss=0.934670
Batch=1139, step=17940, lr=0.125500, batch loss=0.040895, epoch loss=0.975565
Batch=1199, step=18000, lr=0.125250, batch loss=0.015997, epoch loss=0.991563
Epoch=14, step=18000, lr=0.125250, epoch loss=0.991563
Batch=59, step=18060, lr=0.125000, batch loss=0.014803, epoch loss=0.014803
Batch=119, step=18120, lr=0.124750, batch loss=0.027030, epoch loss=0.041834
Batch=179, step=18180, lr=0.124500, batch loss=0.073213, epoch loss=0.115047
Batch=239, step=18240, lr=0.124250, batch loss=0.038079, epoch loss=0.153126
Batch=299, step=18300, lr=0.124000, batch loss=0.015435, epoch loss=0.168561
Batch=359, step=18360, lr=0.123750, batch loss=0.044709, epoch loss=0.213270
Batch=419, step=18420, lr=0.123500, batch loss=0.032292, epoch loss=0.245562
Batch=479, step=18480, lr=0.123250, batch loss=0.017754, epoch loss=0.263315
Batch=539, step=18540, lr=0.123000, batch loss=0.021731, epoch loss=0.285046
Batch=599, step=18600, lr=0.122750, batch loss=0.025340, epoch loss=0.310386
Batch=659, step=18660, lr=0.122500, batch loss=0.030654, epoch loss=0.341041
Batch=719, step=18720, lr=0.122250, batch loss=0.033539, epoch loss=0.374580
Batch=779, step=18780, lr=0.122000, batch loss=0.081972, epoch loss=0.456552
Batch=839, step=18840, lr=0.121750, batch loss=0.051431, epoch loss=0.507983
Batch=899, step=18900, lr=0.121500, batch loss=0.048999, epoch loss=0.556982
Batch=959, step=18960, lr=0.121250, batch loss=0.013945, epoch loss=0.570928
Batch=1019, step=19020, lr=0.121000, batch loss=0.024255, epoch loss=0.595183
Batch=1079, step=19080, lr=0.120750, batch loss=0.012037, epoch loss=0.607220
Batch=1139, step=19140, lr=0.120500, batch loss=0.023470, epoch loss=0.630690
Batch=1199, step=19200, lr=0.120250, batch loss=0.009064, epoch loss=0.639754
Epoch=15, step=19200, lr=0.120250, epoch loss=0.639754
Batch=59, step=19260, lr=0.120000, batch loss=0.004608, epoch loss=0.004608
Batch=119, step=19320, lr=0.119750, batch loss=0.021400, epoch loss=0.026008
Batch=179, step=19380, lr=0.119500, batch loss=0.066214, epoch loss=0.092222
Batch=239, step=19440, lr=0.119250, batch loss=0.026341, epoch loss=0.118564
Batch=299, step=19500, lr=0.119000, batch loss=0.014004, epoch loss=0.132568
Batch=359, step=19560, lr=0.118750, batch loss=0.028223, epoch loss=0.160791
Batch=419, step=19620, lr=0.118500, batch loss=0.020932, epoch loss=0.181724
Batch=479, step=19680, lr=0.118250, batch loss=0.008690, epoch loss=0.190414
Batch=539, step=19740, lr=0.118000, batch loss=0.017800, epoch loss=0.208214
Batch=599, step=19800, lr=0.117750, batch loss=0.024131, epoch loss=0.232345
Batch=659, step=19860, lr=0.117500, batch loss=0.022756, epoch loss=0.255101
Batch=719, step=19920, lr=0.117250, batch loss=0.046123, epoch loss=0.301224
Batch=779, step=19980, lr=0.117000, batch loss=0.082660, epoch loss=0.383884
Batch=839, step=20040, lr=0.116750, batch loss=0.031337, epoch loss=0.415221
Batch=899, step=20100, lr=0.116500, batch loss=0.033334, epoch loss=0.448555
Batch=959, step=20160, lr=0.116250, batch loss=0.010974, epoch loss=0.459530
Batch=1019, step=20220, lr=0.116000, batch loss=0.014381, epoch loss=0.473911
Batch=1079, step=20280, lr=0.115750, batch loss=0.003023, epoch loss=0.476934
Batch=1139, step=20340, lr=0.115500, batch loss=0.015418, epoch loss=0.492352
Batch=1199, step=20400, lr=0.115250, batch loss=0.005799, epoch loss=0.498151
Epoch=16, step=20400, lr=0.115250, epoch loss=0.498151
Batch=59, step=20460, lr=0.115000, batch loss=0.003327, epoch loss=0.003327
Batch=119, step=20520, lr=0.114750, batch loss=0.010088, epoch loss=0.013414
Batch=179, step=20580, lr=0.114500, batch loss=0.022335, epoch loss=0.035749
Batch=239, step=20640, lr=0.114250, batch loss=0.016760, epoch loss=0.052509
Batch=299, step=20700, lr=0.114000, batch loss=0.005940, epoch loss=0.058449
Batch=359, step=20760, lr=0.113750, batch loss=0.012793, epoch loss=0.071242
Batch=419, step=20820, lr=0.113500, batch loss=0.016758, epoch loss=0.088000
Batch=479, step=20880, lr=0.113250, batch loss=0.005719, epoch loss=0.093720
Batch=539, step=20940, lr=0.113000, batch loss=0.015136, epoch loss=0.108856
Batch=599, step=21000, lr=0.112750, batch loss=0.018952, epoch loss=0.127808
Batch=659, step=21060, lr=0.112500, batch loss=0.016079, epoch loss=0.143887
Batch=719, step=21120, lr=0.112250, batch loss=0.032870, epoch loss=0.176757
Batch=779, step=21180, lr=0.112000, batch loss=0.053774, epoch loss=0.230531
Batch=839, step=21240, lr=0.111750, batch loss=0.025552, epoch loss=0.256083
Batch=899, step=21300, lr=0.111250, batch loss=0.024396, epoch loss=0.280479
Batch=959, step=21360, lr=0.111250, batch loss=0.016798, epoch loss=0.297277
Batch=1019, step=21420, lr=0.111000, batch loss=0.014469, epoch loss=0.311746
Batch=1079, step=21480, lr=0.110750, batch loss=0.001835, epoch loss=0.313581
Batch=1139, step=21540, lr=0.110500, batch loss=0.012779, epoch loss=0.326360
Batch=1199, step=21600, lr=0.110250, batch loss=0.005677, epoch loss=0.332037
Epoch=17, step=21600, lr=0.110250, epoch loss=0.332037
Batch=59, step=21660, lr=0.110000, batch loss=0.003527, epoch loss=0.003527
Batch=119, step=21720, lr=0.109750, batch loss=0.006236, epoch loss=0.009763
Batch=179, step=21780, lr=0.109500, batch loss=0.013856, epoch loss=0.023619
Batch=239, step=21840, lr=0.109250, batch loss=0.016637, epoch loss=0.040255
Batch=299, step=21900, lr=0.108750, batch loss=0.002698, epoch loss=0.042953
Batch=359, step=21960, lr=0.108750, batch loss=0.011389, epoch loss=0.054343
Batch=419, step=22020, lr=0.108500, batch loss=0.010868, epoch loss=0.065211
Batch=479, step=22080, lr=0.108250, batch loss=0.002692, epoch loss=0.067903
Batch=539, step=22140, lr=0.108000, batch loss=0.018372, epoch loss=0.086275
Batch=599, step=22200, lr=0.107750, batch loss=0.016658, epoch loss=0.102934
Batch=659, step=22260, lr=0.107500, batch loss=0.015204, epoch loss=0.118138
Batch=719, step=22320, lr=0.107250, batch loss=0.025725, epoch loss=0.143863
Batch=779, step=22380, lr=0.107000, batch loss=0.035531, epoch loss=0.179394
Batch=839, step=22440, lr=0.106750, batch loss=0.024622, epoch loss=0.204015
Batch=899, step=22500, lr=0.106500, batch loss=0.027720, epoch loss=0.231735
Batch=959, step=22560, lr=0.106250, batch loss=0.008997, epoch loss=0.240731
Batch=1019, step=22620, lr=0.106000, batch loss=0.009790, epoch loss=0.250521
Batch=1079, step=22680, lr=0.105750, batch loss=0.001048, epoch loss=0.251569
Batch=1139, step=22740, lr=0.105500, batch loss=0.011148, epoch loss=0.262717
Batch=1199, step=22800, lr=0.105250, batch loss=0.004594, epoch loss=0.267311
Epoch=18, step=22800, lr=0.105250, epoch loss=0.267311
Batch=59, step=22860, lr=0.105000, batch loss=0.002496, epoch loss=0.002496
Batch=119, step=22920, lr=0.104750, batch loss=0.004807, epoch loss=0.007303
Batch=179, step=22980, lr=0.104500, batch loss=0.011809, epoch loss=0.019112
Batch=239, step=23040, lr=0.104250, batch loss=0.008183, epoch loss=0.027296
Batch=299, step=23100, lr=0.104000, batch loss=0.004624, epoch loss=0.031919
Batch=359, step=23160, lr=0.103750, batch loss=0.011519, epoch loss=0.043438
Batch=419, step=23220, lr=0.103500, batch loss=0.009927, epoch loss=0.053365
Batch=479, step=23280, lr=0.103250, batch loss=0.002504, epoch loss=0.055868
Batch=539, step=23340, lr=0.103000, batch loss=0.018981, epoch loss=0.074850
Batch=599, step=23400, lr=0.102750, batch loss=0.014010, epoch loss=0.088860
Batch=659, step=23460, lr=0.102500, batch loss=0.012575, epoch loss=0.101435
Batch=719, step=23520, lr=0.102250, batch loss=0.014283, epoch loss=0.115718
Batch=779, step=23580, lr=0.102000, batch loss=0.020911, epoch loss=0.136629
Batch=839, step=23640, lr=0.101750, batch loss=0.025535, epoch loss=0.162164
Batch=899, step=23700, lr=0.101500, batch loss=0.021470, epoch loss=0.183635
Batch=959, step=23760, lr=0.101250, batch loss=0.007941, epoch loss=0.191576
Batch=1019, step=23820, lr=0.101000, batch loss=0.006662, epoch loss=0.198237
Batch=1079, step=23880, lr=0.100750, batch loss=0.002370, epoch loss=0.200607
Batch=1139, step=23940, lr=0.100500, batch loss=0.008233, epoch loss=0.208840
Batch=1199, step=24000, lr=0.100250, batch loss=0.004506, epoch loss=0.213346
Epoch=19, step=24000, lr=0.100250, epoch loss=0.213346


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:34.00 ---> saved as "7c21e489564970eb7a5cd640dc2fb629302bd519027fce378a4328dc0a574b13"
Job succeeded
2025-05-10 12:34.00: Job succeeded