debian-12-5.3_ppc64_opam-2.3

2025-05-10 12:34.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (95dddcaeb6be8e792001ef8acd80af8e44d112ac) (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 95dddcae
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 12:34.49: 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 12:34.49: 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 12:34.49: Waiting for resource in pool OCluster
2025-05-10 12:34.49: Waiting for worker…
2025-05-10 12:35.42: Got resource from pool OCluster
Building on orithia.caelum.ci.dev
HEAD is now at d36b4190 experiment
HEAD is now at 95dddcae Don't fail if ocannl_config not found


(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 12:35.43 ---> 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 12:35.43 ---> 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 12:35.43 ---> using "c578370adbc5087aa27747e9f0370d2ae139ce1ed965c7b6c59e043adc113803" from cache


/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 12:35.43 ---> using "62f9b695304e1372bbeceabf06a5730df030c63db289471a97379b2bfe6dd883" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:35.43 ---> using "67acfddc9eaa74ca1a3b210e7cecfe4216f9afd47f84e1282ed78076dabb3426" 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 12:35.43 ---> using "8e47d4d7f2efcebdefff0aece806ab8894507d410e0963d4c43c9432d4cea2f3" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:35.43 ---> using "dd208111dd32cf1178ae1ce34c2f0c893e6d3b77483bc7f8521e1e22749f5fef" 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 12:35.43 ---> using "428dacba5bcfdde8b5ab69173676756a4d9c54a0c4b88877f3bf7fe315f14eec" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:35.43 ---> using "622c6806e21a499d2630172a9f95881ff4c8fe0ae047c849dcdbd2d55d36884c" 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 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%
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(Reading database ... 60%
(Reading database ... 65%
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(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 12:35.43 ---> using "688f5c4e9bf044ce353bac6613a7dbfb145abcb27506fe8439871f4655103c45" 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 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 12:35.43 ---> using "d07ae1831173986288638817abc603afacd78d8e8c877b3d8e79d7bee0a23844" from cache


/src: (copy (src .) (dst /src))
2025-05-10 12:35.44 ---> saved as "a5800e0384caafd7fa5b342bd62609a09e4c96c4eaefa9026762c24d12c6408f"


/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/41c2b9f7553effda25af8319d811394d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5f7aa11d34e1fd0e74d1c461d71312ab/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/41c2b9f7553effda25af8319d811394d/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/41c2b9f7553effda25af8319d811394d/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=0.180750, batch loss=0.208592, epoch loss=4.840093
Batch=1139, step=4740, lr=0.180500, batch loss=0.249213, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462437
Batch=1079, step=5880, lr=0.175750, batch loss=0.207827, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907386
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312108, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211038, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180865, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417300
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363688
Batch=419, step=7620, lr=0.168500, batch loss=0.256809, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856494
Batch=539, step=7740, lr=0.168000, batch loss=0.187896, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223923, epoch loss=2.268313
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883517
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292424, epoch loss=3.505884
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767659
Batch=959, step=8160, lr=0.166250, batch loss=0.193294, epoch loss=3.960954
Batch=1019, step=8220, lr=0.166000, batch loss=0.314034, epoch loss=4.274987
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447086
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656828
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229724, epoch loss=0.229724
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592558
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870761
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311387
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785579
Batch=539, step=8940, lr=0.163000, batch loss=0.178133, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181100
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475914
Batch=719, step=9120, lr=0.162250, batch loss=0.296432, epoch loss=2.772347
Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089074
Batch=839, step=9240, lr=0.161750, batch loss=0.287242, epoch loss=3.376317
Batch=899, step=9300, lr=0.161500, batch loss=0.251061, epoch loss=3.627377
Batch=959, step=9360, lr=0.161250, batch loss=0.190532, epoch loss=3.817909
Batch=1019, step=9420, lr=0.161000, batch loss=0.311729, epoch loss=4.129638
Batch=1079, step=9480, lr=0.160750, batch loss=0.191594, epoch loss=4.321232
Batch=1139, step=9540, lr=0.160500, batch loss=0.215773, epoch loss=4.537005
Batch=1199, step=9600, lr=0.160250, batch loss=0.165620, epoch loss=4.702625
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702625
Batch=59, step=9660, lr=0.159750, batch loss=0.197217, epoch loss=0.197217
Batch=119, step=9720, lr=0.159750, batch loss=0.165405, epoch loss=0.362621
Batch=179, step=9780, lr=0.159500, batch loss=0.179277, epoch loss=0.541899
Batch=239, step=9840, lr=0.159000, batch loss=0.263881, epoch loss=0.805779
Batch=299, step=9900, lr=0.159000, batch loss=0.182026, epoch loss=0.987805
Batch=359, step=9960, lr=0.158750, batch loss=0.240986, epoch loss=1.228791
Batch=419, step=10020, lr=0.158500, batch loss=0.232882, epoch loss=1.461673
Batch=479, step=10080, lr=0.158250, batch loss=0.213303, epoch loss=1.674976
Batch=539, step=10140, lr=0.158000, batch loss=0.170443, epoch loss=1.845420
Batch=599, step=10200, lr=0.157750, batch loss=0.200363, epoch loss=2.045783
Batch=659, step=10260, lr=0.157500, batch loss=0.282987, epoch loss=2.328770
Batch=719, step=10320, lr=0.157250, batch loss=0.279792, epoch loss=2.608562
Batch=779, step=10380, lr=0.157000, batch loss=0.300635, epoch loss=2.909197
Batch=839, step=10440, lr=0.156750, batch loss=0.271087, epoch loss=3.180284
Batch=899, step=10500, lr=0.156500, batch loss=0.239650, epoch loss=3.419934
Batch=959, step=10560, lr=0.156250, batch loss=0.198286, epoch loss=3.618220
Batch=1019, step=10620, lr=0.156000, batch loss=0.293442, epoch loss=3.911662
Batch=1079, step=10680, lr=0.155750, batch loss=0.180119, epoch loss=4.091781
Batch=1139, step=10740, lr=0.155500, batch loss=0.204094, epoch loss=4.295875
Batch=1199, step=10800, lr=0.155250, batch loss=0.154734, epoch loss=4.450608
Epoch=8, step=10800, lr=0.155250, epoch loss=4.450608
Batch=59, step=10860, lr=0.155000, batch loss=0.176438, epoch loss=0.176438
Batch=119, step=10920, lr=0.154500, batch loss=0.147106, epoch loss=0.323544
Batch=179, step=10980, lr=0.154500, batch loss=0.166017, epoch loss=0.489561
Batch=239, step=11040, lr=0.154250, batch loss=0.241501, epoch loss=0.731062
Batch=299, step=11100, lr=0.154000, batch loss=0.170410, epoch loss=0.901472
Batch=359, step=11160, lr=0.153750, batch loss=0.221331, epoch loss=1.122802
Batch=419, step=11220, lr=0.153500, batch loss=0.218305, epoch loss=1.341107
Batch=479, step=11280, lr=0.153250, batch loss=0.209305, epoch loss=1.550412
Batch=539, step=11340, lr=0.153000, batch loss=0.158863, epoch loss=1.709275
Batch=599, step=11400, lr=0.152750, batch loss=0.177448, epoch loss=1.886723
Batch=659, step=11460, lr=0.152500, batch loss=0.265222, epoch loss=2.151944
Batch=719, step=11520, lr=0.152250, batch loss=0.260209, epoch loss=2.412154
Batch=779, step=11580, lr=0.152000, batch loss=0.272793, epoch loss=2.684947
Batch=839, step=11640, lr=0.151750, batch loss=0.256219, epoch loss=2.941166
Batch=899, step=11700, lr=0.151500, batch loss=0.212571, epoch loss=3.153737
Batch=959, step=11760, lr=0.151250, batch loss=0.169149, epoch loss=3.322886
Batch=1019, step=11820, lr=0.151000, batch loss=0.266171, epoch loss=3.589057
Batch=1079, step=11880, lr=0.150750, batch loss=0.149182, epoch loss=3.738239
Batch=1139, step=11940, lr=0.150500, batch loss=0.184157, epoch loss=3.922396
Batch=1199, step=12000, lr=0.150250, batch loss=0.138557, epoch loss=4.060953
Epoch=9, step=12000, lr=0.150250, epoch loss=4.060953
Batch=59, step=12060, lr=0.150000, batch loss=0.158028, epoch loss=0.158028
Batch=119, step=12120, lr=0.149750, batch loss=0.129029, epoch loss=0.287057
Batch=179, step=12180, lr=0.149500, batch loss=0.153532, epoch loss=0.440589
Batch=239, step=12240, lr=0.149250, batch loss=0.218341, epoch loss=0.658929
Batch=299, step=12300, lr=0.149000, batch loss=0.141575, epoch loss=0.800504
Batch=359, step=12360, lr=0.148750, batch loss=0.197535, epoch loss=0.998039
Batch=419, step=12420, lr=0.148500, batch loss=0.204448, epoch loss=1.202487
Batch=479, step=12480, lr=0.148250, batch loss=0.179993, epoch loss=1.382479
Batch=539, step=12540, lr=0.148000, batch loss=0.141307, epoch loss=1.523786
Batch=599, step=12600, lr=0.147750, batch loss=0.150512, epoch loss=1.674298
Batch=659, step=12660, lr=0.147500, batch loss=0.224006, epoch loss=1.898304
Batch=719, step=12720, lr=0.147250, batch loss=0.237188, epoch loss=2.135492
Batch=779, step=12780, lr=0.147000, batch loss=0.258393, epoch loss=2.393885
Batch=839, step=12840, lr=0.146750, batch loss=0.237763, epoch loss=2.631648
Batch=899, step=12900, lr=0.146500, batch loss=0.229390, epoch loss=2.861038
Batch=959, step=12960, lr=0.146250, batch loss=0.139659, epoch loss=3.000697
Batch=1019, step=13020, lr=0.146000, batch loss=0.209213, epoch loss=3.209910
Batch=1079, step=13080, lr=0.145750, batch loss=0.118446, epoch loss=3.328356
Batch=1139, step=13140, lr=0.145500, batch loss=0.156507, epoch loss=3.484864
Batch=1199, step=13200, lr=0.145250, batch loss=0.117174, epoch loss=3.602038
Epoch=10, step=13200, lr=0.145250, epoch loss=3.602038
Batch=59, step=13260, lr=0.145000, batch loss=0.138070, epoch loss=0.138070
Batch=119, step=13320, lr=0.144750, batch loss=0.116774, epoch loss=0.254844
Batch=179, step=13380, lr=0.144500, batch loss=0.128004, epoch loss=0.382848
Batch=239, step=13440, lr=0.144250, batch loss=0.185257, epoch loss=0.568106
Batch=299, step=13500, lr=0.144000, batch loss=0.118457, epoch loss=0.686563
Batch=359, step=13560, lr=0.143750, batch loss=0.163033, epoch loss=0.849595
Batch=419, step=13620, lr=0.143500, batch loss=0.161336, epoch loss=1.010931
Batch=479, step=13680, lr=0.143250, batch loss=0.146794, epoch loss=1.157726
Batch=539, step=13740, lr=0.143000, batch loss=0.119507, epoch loss=1.277233
Batch=599, step=13800, lr=0.142750, batch loss=0.120072, epoch loss=1.397305
Batch=659, step=13860, lr=0.142500, batch loss=0.176212, epoch loss=1.573517
Batch=719, step=13920, lr=0.142250, batch loss=0.177879, epoch loss=1.751396
Batch=779, step=13980, lr=0.142000, batch loss=0.195062, epoch loss=1.946458
Batch=839, step=14040, lr=0.141750, batch loss=0.185797, epoch loss=2.132255
Batch=899, step=14100, lr=0.141500, batch loss=0.158242, epoch loss=2.290496
Batch=959, step=14160, lr=0.141250, batch loss=0.134204, epoch loss=2.424701
Batch=1019, step=14220, lr=0.141000, batch loss=0.282841, epoch loss=2.707542
Batch=1079, step=14280, lr=0.140750, batch loss=0.089173, epoch loss=2.796715
Batch=1139, step=14340, lr=0.140500, batch loss=0.129972, epoch loss=2.926687
Batch=1199, step=14400, lr=0.140250, batch loss=0.092473, epoch loss=3.019160
Epoch=11, step=14400, lr=0.140250, epoch loss=3.019160
Batch=59, step=14460, lr=0.140000, batch loss=0.119308, epoch loss=0.119308
Batch=119, step=14520, lr=0.139750, batch loss=0.105116, epoch loss=0.224424
Batch=179, step=14580, lr=0.139500, batch loss=0.103697, epoch loss=0.328121
Batch=239, step=14640, lr=0.139250, batch loss=0.140625, epoch loss=0.468746
Batch=299, step=14700, lr=0.139000, batch loss=0.078515, epoch loss=0.547262
Batch=359, step=14760, lr=0.138750, batch loss=0.117999, epoch loss=0.665261
Batch=419, step=14820, lr=0.138500, batch loss=0.123375, epoch loss=0.788636
Batch=479, step=14880, lr=0.138250, batch loss=0.104932, epoch loss=0.893568
Batch=539, step=14940, lr=0.138000, batch loss=0.114800, epoch loss=1.008368
Batch=599, step=15000, lr=0.137750, batch loss=0.086935, epoch loss=1.095303
Batch=659, step=15060, lr=0.137500, batch loss=0.125433, epoch loss=1.220736
Batch=719, step=15120, lr=0.137250, batch loss=0.131377, epoch loss=1.352113
Batch=779, step=15180, lr=0.137000, batch loss=0.161834, epoch loss=1.513947
Batch=839, step=15240, lr=0.136750, batch loss=0.166511, epoch loss=1.680459
Batch=899, step=15300, lr=0.136500, batch loss=0.273070, epoch loss=1.953528
Batch=959, step=15360, lr=0.136250, batch loss=0.058692, epoch loss=2.012220
Batch=1019, step=15420, lr=0.136000, batch loss=0.138726, epoch loss=2.150946
Batch=1079, step=15480, lr=0.135750, batch loss=0.046945, epoch loss=2.197891
Batch=1139, step=15540, lr=0.135500, batch loss=0.107126, epoch loss=2.305017
Batch=1199, step=15600, lr=0.135250, batch loss=0.063816, epoch loss=2.368833
Epoch=12, step=15600, lr=0.135250, epoch loss=2.368833
Batch=59, step=15660, lr=0.135000, batch loss=0.073123, epoch loss=0.073123
Batch=119, step=15720, lr=0.134750, batch loss=0.096541, epoch loss=0.169665
Batch=179, step=15780, lr=0.134500, batch loss=0.086307, epoch loss=0.255971
Batch=239, step=15840, lr=0.134250, batch loss=0.090582, epoch loss=0.346554
Batch=299, step=15900, lr=0.134000, batch loss=0.035891, epoch loss=0.382445
Batch=359, step=15960, lr=0.133750, batch loss=0.075688, epoch loss=0.458133
Batch=419, step=16020, lr=0.133500, batch loss=0.076481, epoch loss=0.534614
Batch=479, step=16080, lr=0.133250, batch loss=0.052487, epoch loss=0.587101
Batch=539, step=16140, lr=0.133000, batch loss=0.082814, epoch loss=0.669915
Batch=599, step=16200, lr=0.132750, batch loss=0.183379, epoch loss=0.853294
Batch=659, step=16260, lr=0.132500, batch loss=0.099996, epoch loss=0.953290
Batch=719, step=16320, lr=0.132250, batch loss=0.114656, epoch loss=1.067946
Batch=779, step=16380, lr=0.132000, batch loss=0.262734, epoch loss=1.330680
Batch=839, step=16440, lr=0.131750, batch loss=0.088504, epoch loss=1.419184
Batch=899, step=16500, lr=0.131500, batch loss=0.076618, epoch loss=1.495801
Batch=959, step=16560, lr=0.131250, batch loss=0.031421, epoch loss=1.527223
Batch=1019, step=16620, lr=0.131000, batch loss=0.069914, epoch loss=1.597137
Batch=1079, step=16680, lr=0.130750, batch loss=0.049317, epoch loss=1.646454
Batch=1139, step=16740, lr=0.130500, batch loss=0.092682, epoch loss=1.739136
Batch=1199, step=16800, lr=0.130250, batch loss=0.043775, epoch loss=1.782911
Epoch=13, step=16800, lr=0.130250, epoch loss=1.782911
Batch=59, step=16860, lr=0.130000, batch loss=0.036169, epoch loss=0.036169
Batch=119, step=16920, lr=0.129750, batch loss=0.036231, epoch loss=0.072400
Batch=179, step=16980, lr=0.129500, batch loss=0.043341, epoch loss=0.115741
Batch=239, step=17040, lr=0.129250, batch loss=0.057486, epoch loss=0.173227
Batch=299, step=17100, lr=0.129000, batch loss=0.021546, epoch loss=0.194773
Batch=359, step=17160, lr=0.128500, batch loss=0.045163, epoch loss=0.239936
Batch=419, step=17220, lr=0.128500, batch loss=0.073820, epoch loss=0.313757
Batch=479, step=17280, lr=0.128250, batch loss=0.023492, epoch loss=0.337249
Batch=539, step=17340, lr=0.128000, batch loss=0.027988, epoch loss=0.365237
Batch=599, step=17400, lr=0.127750, batch loss=0.033898, epoch loss=0.399135
Batch=659, step=17460, lr=0.127500, batch loss=0.047883, epoch loss=0.447018
Batch=719, step=17520, lr=0.127250, batch loss=0.060241, epoch loss=0.507259
Batch=779, step=17580, lr=0.127000, batch loss=0.067443, epoch loss=0.574702
Batch=839, step=17640, lr=0.126750, batch loss=0.098712, epoch loss=0.673414
Batch=899, step=17700, lr=0.126500, batch loss=0.048557, epoch loss=0.721971
Batch=959, step=17760, lr=0.126250, batch loss=0.019011, epoch loss=0.740982
Batch=1019, step=17820, lr=0.125750, batch loss=0.051418, epoch loss=0.792401
Batch=1079, step=17880, lr=0.125750, batch loss=0.048363, epoch loss=0.840764
Batch=1139, step=17940, lr=0.125500, batch loss=0.117985, epoch loss=0.958748
Batch=1199, step=18000, lr=0.125250, batch loss=0.028401, epoch loss=0.987149
Epoch=14, step=18000, lr=0.125250, epoch loss=0.987149
Batch=59, step=18060, lr=0.125000, batch loss=0.019404, epoch loss=0.019404
Batch=119, step=18120, lr=0.124750, batch loss=0.021528, epoch loss=0.040932
Batch=179, step=18180, lr=0.124250, batch loss=0.036756, epoch loss=0.077688
Batch=239, step=18240, lr=0.124250, batch loss=0.040032, epoch loss=0.117720
Batch=299, step=18300, lr=0.124000, batch loss=0.009191, epoch loss=0.126911
Batch=359, step=18360, lr=0.123750, batch loss=0.026023, epoch loss=0.152935
Batch=419, step=18420, lr=0.123500, batch loss=0.030349, epoch loss=0.183283
Batch=479, step=18480, lr=0.123250, batch loss=0.016700, epoch loss=0.199983
Batch=539, step=18540, lr=0.122750, batch loss=0.027524, epoch loss=0.227507
Batch=599, step=18600, lr=0.122750, batch loss=0.027029, epoch loss=0.254536
Batch=659, step=18660, lr=0.122250, batch loss=0.029263, epoch loss=0.283799
Batch=719, step=18720, lr=0.122250, batch loss=0.047662, epoch loss=0.331460
Batch=779, step=18780, lr=0.121750, batch loss=0.105214, epoch loss=0.436674
Batch=839, step=18840, lr=0.121750, batch loss=0.052274, epoch loss=0.488948
Batch=899, step=18900, lr=0.121500, batch loss=0.052065, epoch loss=0.541013
Batch=959, step=18960, lr=0.121250, batch loss=0.014128, epoch loss=0.555141
Batch=1019, step=19020, lr=0.121000, batch loss=0.021804, epoch loss=0.576945
Batch=1079, step=19080, lr=0.120750, batch loss=0.015087, epoch loss=0.592032
Batch=1139, step=19140, lr=0.120500, batch loss=0.030173, epoch loss=0.622205
Batch=1199, step=19200, lr=0.120250, batch loss=0.011853, epoch loss=0.634059
Epoch=15, step=19200, lr=0.120250, epoch loss=0.634059
Batch=59, step=19260, lr=0.120000, batch loss=0.010865, epoch loss=0.010865
Batch=119, step=19320, lr=0.119750, batch loss=0.025281, epoch loss=0.036146
Batch=179, step=19380, lr=0.119500, batch loss=0.070879, epoch loss=0.107026
Batch=239, step=19440, lr=0.119250, batch loss=0.026651, epoch loss=0.133677
Batch=299, step=19500, lr=0.119000, batch loss=0.011616, epoch loss=0.145292
Batch=359, step=19560, lr=0.118750, batch loss=0.023683, epoch loss=0.168975
Batch=419, step=19620, lr=0.118500, batch loss=0.020383, epoch loss=0.189358
Batch=479, step=19680, lr=0.118250, batch loss=0.007920, epoch loss=0.197277
Batch=539, step=19740, lr=0.118000, batch loss=0.018710, epoch loss=0.215987
Batch=599, step=19800, lr=0.117750, batch loss=0.024141, epoch loss=0.240128
Batch=659, step=19860, lr=0.117500, batch loss=0.021192, epoch loss=0.261320
Batch=719, step=19920, lr=0.117250, batch loss=0.051008, epoch loss=0.312328
Batch=779, step=19980, lr=0.117000, batch loss=0.084792, epoch loss=0.397120
Batch=839, step=20040, lr=0.116500, batch loss=0.030034, epoch loss=0.427154
Batch=899, step=20100, lr=0.116500, batch loss=0.034958, epoch loss=0.462111
Batch=959, step=20160, lr=0.116250, batch loss=0.011715, epoch loss=0.473826
Batch=1019, step=20220, lr=0.116000, batch loss=0.017094, epoch loss=0.490920
Batch=1079, step=20280, lr=0.115750, batch loss=0.002397, epoch loss=0.493317
Batch=1139, step=20340, lr=0.115500, batch loss=0.014775, epoch loss=0.508092
Batch=1199, step=20400, lr=0.115250, batch loss=0.005542, epoch loss=0.513634
Epoch=16, step=20400, lr=0.115250, epoch loss=0.513634
Batch=59, step=20460, lr=0.114750, batch loss=0.003702, epoch loss=0.003702
Batch=119, step=20520, lr=0.114750, batch loss=0.009359, epoch loss=0.013062
Batch=179, step=20580, lr=0.114500, batch loss=0.023115, epoch loss=0.036176
Batch=239, step=20640, lr=0.114250, batch loss=0.014865, epoch loss=0.051042
Batch=299, step=20700, lr=0.114000, batch loss=0.004637, epoch loss=0.055678
Batch=359, step=20760, lr=0.113750, batch loss=0.013875, epoch loss=0.069553
Batch=419, step=20820, lr=0.113500, batch loss=0.014083, epoch loss=0.083636
Batch=479, step=20880, lr=0.113250, batch loss=0.004753, epoch loss=0.088389
Batch=539, step=20940, lr=0.113000, batch loss=0.015961, epoch loss=0.104350
Batch=599, step=21000, lr=0.112750, batch loss=0.018015, epoch loss=0.122365
Batch=659, step=21060, lr=0.112500, batch loss=0.015061, epoch loss=0.137425
Batch=719, step=21120, lr=0.112250, batch loss=0.041412, epoch loss=0.178838
Batch=779, step=21180, lr=0.112000, batch loss=0.072218, epoch loss=0.251056
Batch=839, step=21240, lr=0.111750, batch loss=0.025563, epoch loss=0.276619
Batch=899, step=21300, lr=0.111500, batch loss=0.027033, epoch loss=0.303653
Batch=959, step=21360, lr=0.111250, batch loss=0.010038, epoch loss=0.313691
Batch=1019, step=21420, lr=0.111000, batch loss=0.011599, epoch loss=0.325290
Batch=1079, step=21480, lr=0.110750, batch loss=0.000758, epoch loss=0.326048
Batch=1139, step=21540, lr=0.110500, batch loss=0.013042, epoch loss=0.339090
Batch=1199, step=21600, lr=0.110250, batch loss=0.005069, epoch loss=0.344159
Epoch=17, step=21600, lr=0.110250, epoch loss=0.344159
Batch=59, step=21660, lr=0.109750, batch loss=0.002670, epoch loss=0.002670
Batch=119, step=21720, lr=0.109750, batch loss=0.006496, epoch loss=0.009166
Batch=179, step=21780, lr=0.109500, batch loss=0.012707, epoch loss=0.021873
Batch=239, step=21840, lr=0.109250, batch loss=0.009163, epoch loss=0.031037
Batch=299, step=21900, lr=0.108750, batch loss=0.011928, epoch loss=0.042965
Batch=359, step=21960, lr=0.108750, batch loss=0.013403, epoch loss=0.056368
Batch=419, step=22020, lr=0.108500, batch loss=0.012187, epoch loss=0.068555
Batch=479, step=22080, lr=0.108250, batch loss=0.002911, epoch loss=0.071467
Batch=539, step=22140, lr=0.108000, batch loss=0.017502, epoch loss=0.088968
Batch=599, step=22200, lr=0.107750, batch loss=0.016711, epoch loss=0.105679
Batch=659, step=22260, lr=0.107500, batch loss=0.014563, epoch loss=0.120242
Batch=719, step=22320, lr=0.107250, batch loss=0.025987, epoch loss=0.146229
Batch=779, step=22380, lr=0.107000, batch loss=0.035145, epoch loss=0.181374
Batch=839, step=22440, lr=0.106750, batch loss=0.025717, epoch loss=0.207090
Batch=899, step=22500, lr=0.106500, batch loss=0.027355, epoch loss=0.234445
Batch=959, step=22560, lr=0.106250, batch loss=0.008893, epoch loss=0.243338
Batch=1019, step=22620, lr=0.106000, batch loss=0.009799, epoch loss=0.253137
Batch=1079, step=22680, lr=0.105750, batch loss=0.000883, epoch loss=0.254021
Batch=1139, step=22740, lr=0.105500, batch loss=0.010433, epoch loss=0.264454
Batch=1199, step=22800, lr=0.105250, batch loss=0.004714, epoch loss=0.269168
Epoch=18, step=22800, lr=0.105250, epoch loss=0.269168
Batch=59, step=22860, lr=0.105000, batch loss=0.001828, epoch loss=0.001828
Batch=119, step=22920, lr=0.104500, batch loss=0.005513, epoch loss=0.007341
Batch=179, step=22980, lr=0.104250, batch loss=0.010459, epoch loss=0.017800
Batch=239, step=23040, lr=0.104000, batch loss=0.009223, epoch loss=0.027023
Batch=299, step=23100, lr=0.103750, batch loss=0.001490, epoch loss=0.028513
Batch=359, step=23160, lr=0.103750, batch loss=0.011492, epoch loss=0.040006
Batch=419, step=23220, lr=0.103500, batch loss=0.010170, epoch loss=0.050176
Batch=479, step=23280, lr=0.103250, batch loss=0.002550, epoch loss=0.052726
Batch=539, step=23340, lr=0.103000, batch loss=0.015759, epoch loss=0.068485
Batch=599, step=23400, lr=0.102500, batch loss=0.013268, epoch loss=0.081754
Batch=659, step=23460, lr=0.102500, batch loss=0.011980, epoch loss=0.093733
Batch=719, step=23520, lr=0.102000, batch loss=0.013766, epoch loss=0.107500
Batch=779, step=23580, lr=0.102000, batch loss=0.021087, epoch loss=0.128586
Batch=839, step=23640, lr=0.101750, batch loss=0.025199, epoch loss=0.153785
Batch=899, step=23700, lr=0.101500, batch loss=0.022284, epoch loss=0.176068
Batch=959, step=23760, lr=0.101250, batch loss=0.007688, epoch loss=0.183756
Batch=1019, step=23820, lr=0.101000, batch loss=0.008410, epoch loss=0.192166
Batch=1079, step=23880, lr=0.100750, batch loss=0.000753, epoch loss=0.192919
Batch=1139, step=23940, lr=0.100500, batch loss=0.009476, epoch loss=0.202395
Batch=1199, step=24000, lr=0.100250, batch loss=0.004598, epoch loss=0.206993
Epoch=19, step=24000, lr=0.100250, epoch loss=0.206993


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:36.23 ---> saved as "897852ec6c80c02ef889729d0b317e1eb325de68d3c18c54c452994c90541dc2"
Job succeeded
2025-05-10 12:36.23: Job succeeded