debian-12-5.3_ppc64_opam-2.3

2025-04-10 12:26.39: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a65dd8955db6894ca41a3c2080e5dda2dd1bf41f) (linux-ppc64:debian-12-5.3_ppc64_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard a65dd895
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
# 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.18.0 dune-configurator.3.18.0 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


2025-04-10 12:26.39: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e-debian-12-5.3_ppc64_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04"
2025-04-10 12:26.39: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e)
(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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.18.0 dune-configurator.3.18.0 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"))
)


2025-04-10 12:26.39: Waiting for resource in pool OCluster
2025-04-10 12:26.55: Waiting for worker…
2025-04-10 12:26.55: Got resource from pool OCluster
Building on orithia.caelum.ci.dev
All commits already cached
HEAD is now at a65dd895 Tiny formatting


(from ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e' locally
docker.io/ocaml/opam@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e: Pulling from ocaml/opam
Digest: sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
Status: Downloaded newer image for ocaml/opam@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e
2025-04-10 12:26.40 ---> using "11564f06579ac1abfc4bc8dcbf5fe8e8e80256686f8892cdaae583cd9afa42b8" 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"))
2025-04-10 12:26.40 ---> using "7d9d83b5f12977bcf8066c022c05c5bd5be16362fd0a470da1495b1fd5537301" 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
2025-04-10 12:27.34 ---> saved as "3356b2ee63007def5ceadc9915328f1eea8f5bf3d1e4e2f434bb4052fe0919a6"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 6.8.0-55-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-04-10 12:27.35 ---> saved as "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-04-10 12:27.35 ---> saved as "8b1bba9974efdc8414b2b8b2a4fed5020d231764a7da89b3dfbeaf9ab99cfe97"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
da74d7829f..fa0e8c74bf  master     -> origin/master
598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt


<><> 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)
2025-04-10 12:28.24 ---> saved as "762fe1fc95f31698332171523df3628c40e438ad8c2c836c39e04700482d133b"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-04-10 12:28.27 ---> saved as "85834d8cf753692d2ae93bd7f103ea5cc5e9f04b87cacc6f2428f4b512b23fb9"


/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)
2025-04-10 12:28.37 ---> saved as "5471b0eb175494bc1b5ceb6cbf866260e12a3bd04edec2b7adfa5468fc09fcbd"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-04-10 12:28.38 ---> saved as "abc59fbc374fb47a7c13b57e1b22f118b807fd1281511ad2e5470fc3ffecf991"


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 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.3.18.0 dune-configurator.3.18.0 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 [239 kB]
- Fetched 342 kB in 1s (575 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) ...
2025-04-10 12:29.34 ---> saved as "167c8469a5bc7c124fd750183bd07ee2aa3f5b2ca2c791241db959271c93b4ec"


/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                    v0.17.1
- 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                    3.18.0
- install dune-configurator       3.18.0
- 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 astring.0.8.5  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> installed conf-pkg-config.4
-> installed conf-libffi.2.0.0
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved csexp.1.5.2  (cached)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> installed cmdliner.1.3.0
-> retrieved mdx.2.5.0  (cached)
-> retrieved dune.3.18.0, dune-configurator.3.18.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_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 saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed num.1.5-1
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed fmt.0.10.0
-> installed uutf.1.0.4
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.0
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed backoff.0.1.1
-> installed csexp.1.5.2
-> 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.3.18.0
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed ctypes-foreign.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> 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_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_string.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)
2025-04-10 12:42.37 ---> saved as "2a21e409bf5b3c8b1d28d6d1f34a1b2f869ff3b4b2ec6162b68dbae36556013a"


/src: (copy (src .) (dst /src))
2025-04-10 12:43.33 ---> saved as "6dd258a375d59cd323d7ab725f82797a93a47311337e5ae764bec78b25213048"


/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/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/89286dee905831ead2a6e8dad26ad79c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/01615671c450ecf81db3f6729c1dc08c/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/01615671c450ecf81db3f6729c1dc08c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539633, 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=0.195000, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195000, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262160, epoch loss=0.262160
Batch=119, step=1320, lr=0.194750, batch loss=0.205232, epoch loss=0.467392
Batch=179, step=1380, lr=0.194500, batch loss=0.243652, epoch loss=0.711045
Batch=239, step=1440, lr=0.194250, batch loss=0.347910, epoch loss=1.058955
Batch=299, step=1500, lr=0.194000, batch loss=0.247339, epoch loss=1.306294
Batch=359, step=1560, lr=0.193750, batch loss=0.316588, epoch loss=1.622882
Batch=419, step=1620, lr=0.193500, batch loss=0.312721, epoch loss=1.935602
Batch=479, step=1680, lr=0.193250, batch loss=0.276283, epoch loss=2.211885
Batch=539, step=1740, lr=0.193000, batch loss=0.209819, epoch loss=2.421704
Batch=599, step=1800, lr=0.192750, batch loss=0.250427, epoch loss=2.672131
Batch=659, step=1860, lr=0.192500, batch loss=0.367177, epoch loss=3.039308
Batch=719, step=1920, lr=0.192250, batch loss=0.354939, epoch loss=3.394247
Batch=779, step=1980, lr=0.192000, batch loss=0.381355, epoch loss=3.775603
Batch=839, step=2040, lr=0.191750, batch loss=0.339642, epoch loss=4.115244
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410478
Batch=959, step=2160, lr=0.191250, batch loss=0.214043, epoch loss=4.624521
Batch=1019, step=2220, lr=0.191000, batch loss=0.330921, epoch loss=4.955442
Batch=1079, step=2280, lr=0.190750, batch loss=0.208308, epoch loss=5.163750
Batch=1139, step=2340, lr=0.190500, batch loss=0.278308, epoch loss=5.442058
Batch=1199, step=2400, lr=0.190250, batch loss=0.220825, epoch loss=5.662883
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662883
Batch=59, step=2460, lr=0.190000, batch loss=0.230391, epoch loss=0.230391
Batch=119, step=2520, lr=0.189750, batch loss=0.195933, epoch loss=0.426324
Batch=179, step=2580, lr=0.189500, batch loss=0.221168, epoch loss=0.647492
Batch=239, step=2640, lr=0.189250, batch loss=0.328092, epoch loss=0.975584
Batch=299, step=2700, lr=0.189000, batch loss=0.202933, epoch loss=1.178517
Batch=359, step=2760, lr=0.188750, batch loss=0.288270, epoch loss=1.466788
Batch=419, step=2820, lr=0.188500, batch loss=0.280172, epoch loss=1.746960
Batch=479, step=2880, lr=0.188250, batch loss=0.251464, epoch loss=1.998423
Batch=539, step=2940, lr=0.188000, batch loss=0.191281, epoch loss=2.189704
Batch=599, step=3000, lr=0.187750, batch loss=0.224966, epoch loss=2.414670
Batch=659, step=3060, lr=0.187500, batch loss=0.335770, epoch loss=2.750440
Batch=719, step=3120, lr=0.187250, batch loss=0.331401, epoch loss=3.081841
Batch=779, step=3180, lr=0.187000, batch loss=0.357922, epoch loss=3.439763
Batch=839, step=3240, lr=0.186750, batch loss=0.325604, epoch loss=3.765367
Batch=899, step=3300, lr=0.186500, batch loss=0.292371, epoch loss=4.057738
Batch=959, step=3360, lr=0.186250, batch loss=0.244940, epoch loss=4.302678
Batch=1019, step=3420, lr=0.186000, batch loss=0.361929, epoch loss=4.664607
Batch=1079, step=3480, lr=0.185750, batch loss=0.222027, epoch loss=4.886633
Batch=1139, step=3540, lr=0.185500, batch loss=0.264063, epoch loss=5.150697
Batch=1199, step=3600, lr=0.185250, batch loss=0.199943, epoch loss=5.350639
Epoch=2, step=3600, lr=0.185250, epoch loss=5.350639
Batch=59, step=3660, lr=0.185000, batch loss=0.221209, epoch loss=0.221209
Batch=119, step=3720, lr=0.184750, batch loss=0.184967, epoch loss=0.406176
Batch=179, step=3780, lr=0.184500, batch loss=0.211395, epoch loss=0.617570
Batch=239, step=3840, lr=0.184250, batch loss=0.316949, epoch loss=0.934519
Batch=299, step=3900, lr=0.184000, batch loss=0.209226, epoch loss=1.143745
Batch=359, step=3960, lr=0.183750, batch loss=0.285626, epoch loss=1.429371
Batch=419, step=4020, lr=0.183500, batch loss=0.278254, epoch loss=1.707624
Batch=479, step=4080, lr=0.183250, batch loss=0.254968, epoch loss=1.962592
Batch=539, step=4140, lr=0.183000, batch loss=0.199964, epoch loss=2.162556
Batch=599, step=4200, lr=0.182750, batch loss=0.242646, epoch loss=2.405202
Batch=659, step=4260, lr=0.182500, batch loss=0.327748, epoch loss=2.732951
Batch=719, step=4320, lr=0.182250, batch loss=0.330860, epoch loss=3.063810
Batch=779, step=4380, lr=0.182000, batch loss=0.349734, epoch loss=3.413544
Batch=839, step=4440, lr=0.181750, batch loss=0.317836, epoch loss=3.731380
Batch=899, step=4500, lr=0.181500, batch loss=0.285763, epoch loss=4.017143
Batch=959, step=4560, lr=0.181250, batch loss=0.239671, epoch loss=4.256814
Batch=1019, step=4620, lr=0.181000, batch loss=0.332967, epoch loss=4.589781
Batch=1079, step=4680, lr=0.180750, batch loss=0.195766, epoch loss=4.785547
Batch=1139, step=4740, lr=0.180500, batch loss=0.229051, epoch loss=5.014598
Batch=1199, step=4800, lr=0.180250, batch loss=0.193315, epoch loss=5.207914
Epoch=3, step=4800, lr=0.180250, epoch loss=5.207914
Batch=59, step=4860, lr=0.180000, batch loss=0.234174, epoch loss=0.234174
Batch=119, step=4920, lr=0.179750, batch loss=0.192066, epoch loss=0.426241
Batch=179, step=4980, lr=0.179500, batch loss=0.205723, epoch loss=0.631964
Batch=239, step=5040, lr=0.179250, batch loss=0.307543, epoch loss=0.939506
Batch=299, step=5100, lr=0.179000, batch loss=0.205972, epoch loss=1.145478
Batch=359, step=5160, lr=0.178750, batch loss=0.270796, epoch loss=1.416274
Batch=419, step=5220, lr=0.178500, batch loss=0.265479, epoch loss=1.681753
Batch=479, step=5280, lr=0.178250, batch loss=0.242000, epoch loss=1.923753
Batch=539, step=5340, lr=0.178000, batch loss=0.195162, epoch loss=2.118916
Batch=599, step=5400, lr=0.177750, batch loss=0.243540, epoch loss=2.362455
Batch=659, step=5460, lr=0.177500, batch loss=0.317066, epoch loss=2.679521
Batch=719, step=5520, lr=0.177250, batch loss=0.317765, epoch loss=2.997286
Batch=779, step=5580, lr=0.177000, batch loss=0.343124, epoch loss=3.340410
Batch=839, step=5640, lr=0.176750, batch loss=0.308248, epoch loss=3.648658
Batch=899, step=5700, lr=0.176500, batch loss=0.273814, epoch loss=3.922472
Batch=959, step=5760, lr=0.176250, batch loss=0.210783, epoch loss=4.133256
Batch=1019, step=5820, lr=0.176000, batch loss=0.338759, epoch loss=4.472015
Batch=1079, step=5880, lr=0.175750, batch loss=0.201338, epoch loss=4.673352
Batch=1139, step=5940, lr=0.175500, batch loss=0.243014, epoch loss=4.916366
Batch=1199, step=6000, lr=0.175250, batch loss=0.185387, epoch loss=5.101753
Epoch=4, step=6000, lr=0.175250, epoch loss=5.101753
Batch=59, step=6060, lr=0.175000, batch loss=0.226399, epoch loss=0.226399
Batch=119, step=6120, lr=0.174750, batch loss=0.184051, epoch loss=0.410450
Batch=179, step=6180, lr=0.174500, batch loss=0.201402, epoch loss=0.611852
Batch=239, step=6240, lr=0.174250, batch loss=0.301269, epoch loss=0.913121
Batch=299, step=6300, lr=0.174000, batch loss=0.205695, epoch loss=1.118816
Batch=359, step=6360, lr=0.173750, batch loss=0.264949, epoch loss=1.383765
Batch=419, step=6420, lr=0.173500, batch loss=0.261315, epoch loss=1.645080
Batch=479, step=6480, lr=0.173250, batch loss=0.241205, epoch loss=1.886285
Batch=539, step=6540, lr=0.173000, batch loss=0.196266, epoch loss=2.082552
Batch=599, step=6600, lr=0.172750, batch loss=0.232381, epoch loss=2.314933
Batch=659, step=6660, lr=0.172500, batch loss=0.313599, epoch loss=2.628532
Batch=719, step=6720, lr=0.172250, batch loss=0.316686, epoch loss=2.945218
Batch=779, step=6780, lr=0.172000, batch loss=0.330895, epoch loss=3.276113
Batch=839, step=6840, lr=0.171750, batch loss=0.306307, epoch loss=3.582420
Batch=899, step=6900, lr=0.171500, batch loss=0.268576, epoch loss=3.850996
Batch=959, step=6960, lr=0.171250, batch loss=0.207619, epoch loss=4.058615
Batch=1019, step=7020, lr=0.171000, batch loss=0.331483, epoch loss=4.390098
Batch=1079, step=7080, lr=0.170750, batch loss=0.180617, epoch loss=4.570715
Batch=1139, step=7140, lr=0.170250, batch loss=0.216855, epoch loss=4.787571
Batch=1199, step=7200, lr=0.170250, batch loss=0.182296, epoch loss=4.969867
Epoch=5, step=7200, lr=0.170250, epoch loss=4.969867
Batch=59, step=7260, lr=0.169750, batch loss=0.240073, epoch loss=0.240073
Batch=119, step=7320, lr=0.169750, batch loss=0.179713, epoch loss=0.419786
Batch=179, step=7380, lr=0.169500, batch loss=0.195236, epoch loss=0.615022
Batch=239, step=7440, lr=0.169250, batch loss=0.292299, epoch loss=0.907320
Batch=299, step=7500, lr=0.168750, batch loss=0.207800, epoch loss=1.115121
Batch=359, step=7560, lr=0.168750, batch loss=0.261215, epoch loss=1.376336
Batch=419, step=7620, lr=0.168250, batch loss=0.253888, epoch loss=1.630224
Batch=479, step=7680, lr=0.168000, batch loss=0.232121, epoch loss=1.862345
Batch=539, step=7740, lr=0.167750, batch loss=0.185288, epoch loss=2.047633
Batch=599, step=7800, lr=0.167500, batch loss=0.227366, epoch loss=2.274999
Batch=659, step=7860, lr=0.167250, batch loss=0.304118, epoch loss=2.579118
Batch=719, step=7920, lr=0.167000, batch loss=0.308381, epoch loss=2.887499
Batch=779, step=7980, lr=0.166750, batch loss=0.320344, epoch loss=3.207843
Batch=839, step=8040, lr=0.166750, batch loss=0.296675, epoch loss=3.504518
Batch=899, step=8100, lr=0.166500, batch loss=0.258483, epoch loss=3.763001
Batch=959, step=8160, lr=0.166000, batch loss=0.209745, epoch loss=3.972747
Batch=1019, step=8220, lr=0.166000, batch loss=0.313773, epoch loss=4.286520
Batch=1079, step=8280, lr=0.165750, batch loss=0.174838, epoch loss=4.461358
Batch=1139, step=8340, lr=0.165500, batch loss=0.209455, epoch loss=4.670813
Batch=1199, step=8400, lr=0.165250, batch loss=0.178046, epoch loss=4.848859
Epoch=6, step=8400, lr=0.165250, epoch loss=4.848859
Batch=59, step=8460, lr=0.165000, batch loss=0.229022, epoch loss=0.229022
Batch=119, step=8520, lr=0.164750, batch loss=0.174762, epoch loss=0.403784
Batch=179, step=8580, lr=0.164500, batch loss=0.187567, epoch loss=0.591351
Batch=239, step=8640, lr=0.164250, batch loss=0.277894, epoch loss=0.869245
Batch=299, step=8700, lr=0.164000, batch loss=0.191061, epoch loss=1.060306
Batch=359, step=8760, lr=0.163750, batch loss=0.248257, epoch loss=1.308563
Batch=419, step=8820, lr=0.163500, batch loss=0.244498, epoch loss=1.553060
Batch=479, step=8880, lr=0.163250, batch loss=0.228366, epoch loss=1.781426
Batch=539, step=8940, lr=0.163000, batch loss=0.177396, epoch loss=1.958821
Batch=599, step=9000, lr=0.162750, batch loss=0.217879, epoch loss=2.176700
Batch=659, step=9060, lr=0.162500, batch loss=0.293991, epoch loss=2.470691
Batch=719, step=9120, lr=0.162250, batch loss=0.296051, epoch loss=2.766742
Batch=779, step=9180, lr=0.162000, batch loss=0.315172, epoch loss=3.081914
Batch=839, step=9240, lr=0.161750, batch loss=0.280868, epoch loss=3.362782
Batch=899, step=9300, lr=0.161500, batch loss=0.251724, epoch loss=3.614506
Batch=959, step=9360, lr=0.161250, batch loss=0.188516, epoch loss=3.803021
Batch=1019, step=9420, lr=0.161000, batch loss=0.316526, epoch loss=4.119547
Batch=1079, step=9480, lr=0.160750, batch loss=0.186322, epoch loss=4.305869
Batch=1139, step=9540, lr=0.160500, batch loss=0.211954, epoch loss=4.517822
Batch=1199, step=9600, lr=0.160250, batch loss=0.167118, epoch loss=4.684941
Epoch=7, step=9600, lr=0.160250, epoch loss=4.684941
Batch=59, step=9660, lr=0.160000, batch loss=0.198531, epoch loss=0.198531
Batch=119, step=9720, lr=0.159750, batch loss=0.163844, epoch loss=0.362375
Batch=179, step=9780, lr=0.159500, batch loss=0.178696, epoch loss=0.541071
Batch=239, step=9840, lr=0.159250, batch loss=0.259543, epoch loss=0.800614
Batch=299, step=9900, lr=0.159000, batch loss=0.180098, epoch loss=0.980712
Batch=359, step=9960, lr=0.158750, batch loss=0.241303, epoch loss=1.222015
Batch=419, step=10020, lr=0.158500, batch loss=0.236856, epoch loss=1.458872
Batch=479, step=10080, lr=0.158250, batch loss=0.224850, epoch loss=1.683722
Batch=539, step=10140, lr=0.158000, batch loss=0.172418, epoch loss=1.856140
Batch=599, step=10200, lr=0.157750, batch loss=0.200638, epoch loss=2.056778
Batch=659, step=10260, lr=0.157500, batch loss=0.280657, epoch loss=2.337435
Batch=719, step=10320, lr=0.157000, batch loss=0.284456, epoch loss=2.621891
Batch=779, step=10380, lr=0.157000, batch loss=0.293578, epoch loss=2.915469
Batch=839, step=10440, lr=0.156750, batch loss=0.271193, epoch loss=3.186662
Batch=899, step=10500, lr=0.156500, batch loss=0.237996, epoch loss=3.424658
Batch=959, step=10560, lr=0.156250, batch loss=0.176312, epoch loss=3.600970
Batch=1019, step=10620, lr=0.156000, batch loss=0.299172, epoch loss=3.900142
Batch=1079, step=10680, lr=0.155750, batch loss=0.175555, epoch loss=4.075697
Batch=1139, step=10740, lr=0.155500, batch loss=0.200301, epoch loss=4.275998
Batch=1199, step=10800, lr=0.155250, batch loss=0.154436, epoch loss=4.430434
Epoch=8, step=10800, lr=0.155250, epoch loss=4.430434
Batch=59, step=10860, lr=0.155000, batch loss=0.176977, epoch loss=0.176977
Batch=119, step=10920, lr=0.154750, batch loss=0.151259, epoch loss=0.328235
Batch=179, step=10980, lr=0.154500, batch loss=0.166528, epoch loss=0.494763
Batch=239, step=11040, lr=0.154250, batch loss=0.244590, epoch loss=0.739353
Batch=299, step=11100, lr=0.154000, batch loss=0.164608, epoch loss=0.903961
Batch=359, step=11160, lr=0.153750, batch loss=0.223481, epoch loss=1.127443
Batch=419, step=11220, lr=0.153500, batch loss=0.227862, epoch loss=1.355304
Batch=479, step=11280, lr=0.153250, batch loss=0.202713, epoch loss=1.558017
Batch=539, step=11340, lr=0.153000, batch loss=0.159532, epoch loss=1.717548
Batch=599, step=11400, lr=0.152750, batch loss=0.184631, epoch loss=1.902180
Batch=659, step=11460, lr=0.152500, batch loss=0.262169, epoch loss=2.164349
Batch=719, step=11520, lr=0.152000, batch loss=0.256379, epoch loss=2.420728
Batch=779, step=11580, lr=0.152000, batch loss=0.269263, epoch loss=2.689992
Batch=839, step=11640, lr=0.151750, batch loss=0.256718, epoch loss=2.946710
Batch=899, step=11700, lr=0.151500, batch loss=0.216356, epoch loss=3.163066
Batch=959, step=11760, lr=0.151250, batch loss=0.160848, epoch loss=3.323914
Batch=1019, step=11820, lr=0.151000, batch loss=0.257623, epoch loss=3.581537
Batch=1079, step=11880, lr=0.150750, batch loss=0.144514, epoch loss=3.726051
Batch=1139, step=11940, lr=0.150500, batch loss=0.178658, epoch loss=3.904709
Batch=1199, step=12000, lr=0.150250, batch loss=0.139358, epoch loss=4.044067
Epoch=9, step=12000, lr=0.150250, epoch loss=4.044067
Batch=59, step=12060, lr=0.150000, batch loss=0.161769, epoch loss=0.161769
Batch=119, step=12120, lr=0.149750, batch loss=0.135736, epoch loss=0.297505
Batch=179, step=12180, lr=0.149500, batch loss=0.150944, epoch loss=0.448449
Batch=239, step=12240, lr=0.149250, batch loss=0.219626, epoch loss=0.668075
Batch=299, step=12300, lr=0.149000, batch loss=0.141713, epoch loss=0.809789
Batch=359, step=12360, lr=0.148750, batch loss=0.197009, epoch loss=1.006798
Batch=419, step=12420, lr=0.148500, batch loss=0.205396, epoch loss=1.212193
Batch=479, step=12480, lr=0.148250, batch loss=0.178497, epoch loss=1.390691
Batch=539, step=12540, lr=0.148000, batch loss=0.142024, epoch loss=1.532715
Batch=599, step=12600, lr=0.147750, batch loss=0.149102, epoch loss=1.681816
Batch=659, step=12660, lr=0.147500, batch loss=0.225962, epoch loss=1.907778
Batch=719, step=12720, lr=0.147250, batch loss=0.234533, epoch loss=2.142311
Batch=779, step=12780, lr=0.147000, batch loss=0.263845, epoch loss=2.406156
Batch=839, step=12840, lr=0.146750, batch loss=0.232879, epoch loss=2.639035
Batch=899, step=12900, lr=0.146500, batch loss=0.203262, epoch loss=2.842296
Batch=959, step=12960, lr=0.146250, batch loss=0.146352, epoch loss=2.988648
Batch=1019, step=13020, lr=0.146000, batch loss=0.256188, epoch loss=3.244836
Batch=1079, step=13080, lr=0.145750, batch loss=0.117453, epoch loss=3.362289
Batch=1139, step=13140, lr=0.145500, batch loss=0.153928, epoch loss=3.516217
Batch=1199, step=13200, lr=0.145250, batch loss=0.117755, epoch loss=3.633972
Epoch=10, step=13200, lr=0.145250, epoch loss=3.633972
Batch=59, step=13260, lr=0.145000, batch loss=0.142343, epoch loss=0.142343
Batch=119, step=13320, lr=0.144750, batch loss=0.120477, epoch loss=0.262820
Batch=179, step=13380, lr=0.144500, batch loss=0.127007, epoch loss=0.389827
Batch=239, step=13440, lr=0.144250, batch loss=0.186953, epoch loss=0.576780
Batch=299, step=13500, lr=0.144000, batch loss=0.115329, epoch loss=0.692108
Batch=359, step=13560, lr=0.143750, batch loss=0.158705, epoch loss=0.850813
Batch=419, step=13620, lr=0.143500, batch loss=0.161008, epoch loss=1.011821
Batch=479, step=13680, lr=0.143000, batch loss=0.147088, epoch loss=1.158908
Batch=539, step=13740, lr=0.143000, batch loss=0.118183, epoch loss=1.277092
Batch=599, step=13800, lr=0.142750, batch loss=0.120138, epoch loss=1.397229
Batch=659, step=13860, lr=0.142500, batch loss=0.173660, epoch loss=1.570890
Batch=719, step=13920, lr=0.142000, batch loss=0.176725, epoch loss=1.747615
Batch=779, step=13980, lr=0.142000, batch loss=0.195915, epoch loss=1.943530
Batch=839, step=14040, lr=0.141750, batch loss=0.188927, epoch loss=2.132457
Batch=899, step=14100, lr=0.141500, batch loss=0.177105, epoch loss=2.309563
Batch=959, step=14160, lr=0.141250, batch loss=0.144262, epoch loss=2.453825
Batch=1019, step=14220, lr=0.141000, batch loss=0.289180, epoch loss=2.743005
Batch=1079, step=14280, lr=0.140750, batch loss=0.077999, epoch loss=2.821004
Batch=1139, step=14340, lr=0.140500, batch loss=0.122353, epoch loss=2.943357
Batch=1199, step=14400, lr=0.140250, batch loss=0.090262, epoch loss=3.033618
Epoch=11, step=14400, lr=0.140250, epoch loss=3.033618
Batch=59, step=14460, lr=0.140000, batch loss=0.108944, epoch loss=0.108944
Batch=119, step=14520, lr=0.139750, batch loss=0.103404, epoch loss=0.212348
Batch=179, step=14580, lr=0.139500, batch loss=0.103705, epoch loss=0.316052
Batch=239, step=14640, lr=0.139250, batch loss=0.141023, epoch loss=0.457075
Batch=299, step=14700, lr=0.139000, batch loss=0.078109, epoch loss=0.535185
Batch=359, step=14760, lr=0.138750, batch loss=0.118350, epoch loss=0.653535
Batch=419, step=14820, lr=0.138500, batch loss=0.126690, epoch loss=0.780225
Batch=479, step=14880, lr=0.138250, batch loss=0.103504, epoch loss=0.883729
Batch=539, step=14940, lr=0.138000, batch loss=0.107278, epoch loss=0.991007
Batch=599, step=15000, lr=0.137750, batch loss=0.085708, epoch loss=1.076715
Batch=659, step=15060, lr=0.137500, batch loss=0.127116, epoch loss=1.203831
Batch=719, step=15120, lr=0.137250, batch loss=0.120574, epoch loss=1.324405
Batch=779, step=15180, lr=0.137000, batch loss=0.130691, epoch loss=1.455096
Batch=839, step=15240, lr=0.136750, batch loss=0.176709, epoch loss=1.631805
Batch=899, step=15300, lr=0.136500, batch loss=0.290547, epoch loss=1.922353
Batch=959, step=15360, lr=0.136250, batch loss=0.060559, epoch loss=1.982912
Batch=1019, step=15420, lr=0.136000, batch loss=0.136264, epoch loss=2.119176
Batch=1079, step=15480, lr=0.135750, batch loss=0.049105, epoch loss=2.168281
Batch=1139, step=15540, lr=0.135500, batch loss=0.105718, epoch loss=2.273999
Batch=1199, step=15600, lr=0.135250, batch loss=0.060903, epoch loss=2.334902
Epoch=12, step=15600, lr=0.135250, epoch loss=2.334902
Batch=59, step=15660, lr=0.135000, batch loss=0.078866, epoch loss=0.078866
Batch=119, step=15720, lr=0.134750, batch loss=0.099245, epoch loss=0.178111
Batch=179, step=15780, lr=0.134500, batch loss=0.087336, epoch loss=0.265447
Batch=239, step=15840, lr=0.134250, batch loss=0.090679, epoch loss=0.356126
Batch=299, step=15900, lr=0.134000, batch loss=0.039977, epoch loss=0.396103
Batch=359, step=15960, lr=0.133750, batch loss=0.075908, epoch loss=0.472012
Batch=419, step=16020, lr=0.133500, batch loss=0.077993, epoch loss=0.550005
Batch=479, step=16080, lr=0.133250, batch loss=0.058522, epoch loss=0.608527
Batch=539, step=16140, lr=0.133000, batch loss=0.061822, epoch loss=0.670348
Batch=599, step=16200, lr=0.132750, batch loss=0.134579, epoch loss=0.804927
Batch=659, step=16260, lr=0.132500, batch loss=0.081916, epoch loss=0.886843
Batch=719, step=16320, lr=0.132000, batch loss=0.133489, epoch loss=1.020332
Batch=779, step=16380, lr=0.132000, batch loss=0.290687, epoch loss=1.311019
Batch=839, step=16440, lr=0.131750, batch loss=0.089930, epoch loss=1.400948
Batch=899, step=16500, lr=0.131500, batch loss=0.075060, epoch loss=1.476008
Batch=959, step=16560, lr=0.131250, batch loss=0.033263, epoch loss=1.509272
Batch=1019, step=16620, lr=0.131000, batch loss=0.064446, epoch loss=1.573718
Batch=1079, step=16680, lr=0.130750, batch loss=0.051965, epoch loss=1.625683
Batch=1139, step=16740, lr=0.130500, batch loss=0.089246, epoch loss=1.714929
Batch=1199, step=16800, lr=0.130250, batch loss=0.041471, epoch loss=1.756400
Epoch=13, step=16800, lr=0.130250, epoch loss=1.756400
Batch=59, step=16860, lr=0.130000, batch loss=0.033527, epoch loss=0.033527
Batch=119, step=16920, lr=0.129750, batch loss=0.034642, epoch loss=0.068170
Batch=179, step=16980, lr=0.129500, batch loss=0.043199, epoch loss=0.111369
Batch=239, step=17040, lr=0.129250, batch loss=0.060069, epoch loss=0.171438
Batch=299, step=17100, lr=0.129000, batch loss=0.025882, epoch loss=0.197320
Batch=359, step=17160, lr=0.128750, batch loss=0.049111, epoch loss=0.246431
Batch=419, step=17220, lr=0.128500, batch loss=0.076096, epoch loss=0.322528
Batch=479, step=17280, lr=0.128250, batch loss=0.022726, epoch loss=0.345254
Batch=539, step=17340, lr=0.128000, batch loss=0.027223, epoch loss=0.372477
Batch=599, step=17400, lr=0.127750, batch loss=0.041181, epoch loss=0.413658
Batch=659, step=17460, lr=0.127500, batch loss=0.051470, epoch loss=0.465128
Batch=719, step=17520, lr=0.127250, batch loss=0.057537, epoch loss=0.522666
Batch=779, step=17580, lr=0.127000, batch loss=0.060206, epoch loss=0.582871
Batch=839, step=17640, lr=0.126750, batch loss=0.100330, epoch loss=0.683202
Batch=899, step=17700, lr=0.126500, batch loss=0.047819, epoch loss=0.731021
Batch=959, step=17760, lr=0.126250, batch loss=0.018615, epoch loss=0.749636
Batch=1019, step=17820, lr=0.126000, batch loss=0.049633, epoch loss=0.799269
Batch=1079, step=17880, lr=0.125750, batch loss=0.040985, epoch loss=0.840255
Batch=1139, step=17940, lr=0.125500, batch loss=0.081394, epoch loss=0.921648
Batch=1199, step=18000, lr=0.125250, batch loss=0.025120, epoch loss=0.946768
Epoch=14, step=18000, lr=0.125250, epoch loss=0.946768
Batch=59, step=18060, lr=0.125000, batch loss=0.016416, epoch loss=0.016416
Batch=119, step=18120, lr=0.124750, batch loss=0.024339, epoch loss=0.040754
Batch=179, step=18180, lr=0.124250, batch loss=0.056986, epoch loss=0.097740
Batch=239, step=18240, lr=0.124250, batch loss=0.036410, epoch loss=0.134151
Batch=299, step=18300, lr=0.124000, batch loss=0.016975, epoch loss=0.151126
Batch=359, step=18360, lr=0.123750, batch loss=0.043678, epoch loss=0.194803
Batch=419, step=18420, lr=0.123500, batch loss=0.031351, epoch loss=0.226154
Batch=479, step=18480, lr=0.123250, batch loss=0.019239, epoch loss=0.245394
Batch=539, step=18540, lr=0.123000, batch loss=0.023117, epoch loss=0.268511
Batch=599, step=18600, lr=0.122750, batch loss=0.025177, epoch loss=0.293688
Batch=659, step=18660, lr=0.122500, batch loss=0.029861, epoch loss=0.323548
Batch=719, step=18720, lr=0.122250, batch loss=0.038488, epoch loss=0.362036
Batch=779, step=18780, lr=0.122000, batch loss=0.102966, epoch loss=0.465003
Batch=839, step=18840, lr=0.121750, batch loss=0.053444, epoch loss=0.518447
Batch=899, step=18900, lr=0.121500, batch loss=0.056247, epoch loss=0.574694
Batch=959, step=18960, lr=0.121250, batch loss=0.013592, epoch loss=0.588286
Batch=1019, step=19020, lr=0.121000, batch loss=0.023238, epoch loss=0.611524
Batch=1079, step=19080, lr=0.120750, batch loss=0.012771, epoch loss=0.624295
Batch=1139, step=19140, lr=0.120500, batch loss=0.023655, epoch loss=0.647950
Batch=1199, step=19200, lr=0.120250, batch loss=0.009064, epoch loss=0.657014
Epoch=15, step=19200, lr=0.120250, epoch loss=0.657014
Batch=59, step=19260, lr=0.119750, batch loss=0.005199, epoch loss=0.005199
Batch=119, step=19320, lr=0.119750, batch loss=0.020073, epoch loss=0.025272
Batch=179, step=19380, lr=0.119500, batch loss=0.048252, epoch loss=0.073524
Batch=239, step=19440, lr=0.119250, batch loss=0.020807, epoch loss=0.094330
Batch=299, step=19500, lr=0.119000, batch loss=0.012674, epoch loss=0.107004
Batch=359, step=19560, lr=0.118750, batch loss=0.029050, epoch loss=0.136055
Batch=419, step=19620, lr=0.118500, batch loss=0.019946, epoch loss=0.156001
Batch=479, step=19680, lr=0.118250, batch loss=0.009324, epoch loss=0.165325
Batch=539, step=19740, lr=0.118000, batch loss=0.017704, epoch loss=0.183029
Batch=599, step=19800, lr=0.117750, batch loss=0.023702, epoch loss=0.206731
Batch=659, step=19860, lr=0.117500, batch loss=0.020147, epoch loss=0.226878
Batch=719, step=19920, lr=0.117000, batch loss=0.056883, epoch loss=0.283760
Batch=779, step=19980, lr=0.117000, batch loss=0.083267, epoch loss=0.367027
Batch=839, step=20040, lr=0.116500, batch loss=0.030516, epoch loss=0.397544
Batch=899, step=20100, lr=0.116500, batch loss=0.032543, epoch loss=0.430087
Batch=959, step=20160, lr=0.116250, batch loss=0.011089, epoch loss=0.441176
Batch=1019, step=20220, lr=0.116000, batch loss=0.014086, epoch loss=0.455262
Batch=1079, step=20280, lr=0.115750, batch loss=0.002800, epoch loss=0.458061
Batch=1139, step=20340, lr=0.115250, batch loss=0.016442, epoch loss=0.474504
Batch=1199, step=20400, lr=0.115250, batch loss=0.006631, epoch loss=0.481135
Epoch=16, step=20400, lr=0.115250, epoch loss=0.481135
Batch=59, step=20460, lr=0.115000, batch loss=0.003229, epoch loss=0.003229
Batch=119, step=20520, lr=0.114500, batch loss=0.009986, epoch loss=0.013215
Batch=179, step=20580, lr=0.114500, batch loss=0.026385, epoch loss=0.039600
Batch=239, step=20640, lr=0.114250, batch loss=0.014726, epoch loss=0.054326
Batch=299, step=20700, lr=0.114000, batch loss=0.003097, epoch loss=0.057424
Batch=359, step=20760, lr=0.113750, batch loss=0.013078, epoch loss=0.070502
Batch=419, step=20820, lr=0.113500, batch loss=0.014137, epoch loss=0.084639
Batch=479, step=20880, lr=0.113250, batch loss=0.004111, epoch loss=0.088750
Batch=539, step=20940, lr=0.113000, batch loss=0.018295, epoch loss=0.107045
Batch=599, step=21000, lr=0.112750, batch loss=0.020586, epoch loss=0.127631
Batch=659, step=21060, lr=0.112250, batch loss=0.013900, epoch loss=0.141531
Batch=719, step=21120, lr=0.112250, batch loss=0.045191, epoch loss=0.186722
Batch=779, step=21180, lr=0.112000, batch loss=0.069121, epoch loss=0.255843
Batch=839, step=21240, lr=0.111750, batch loss=0.025490, epoch loss=0.281333
Batch=899, step=21300, lr=0.111500, batch loss=0.027825, epoch loss=0.309158
Batch=959, step=21360, lr=0.111250, batch loss=0.010548, epoch loss=0.319705
Batch=1019, step=21420, lr=0.111000, batch loss=0.011462, epoch loss=0.331168
Batch=1079, step=21480, lr=0.110750, batch loss=0.001319, epoch loss=0.332486
Batch=1139, step=21540, lr=0.110500, batch loss=0.013197, epoch loss=0.345683
Batch=1199, step=21600, lr=0.110250, batch loss=0.005017, epoch loss=0.350700
Epoch=17, step=21600, lr=0.110250, epoch loss=0.350700
Batch=59, step=21660, lr=0.110000, batch loss=0.002711, epoch loss=0.002711
Batch=119, step=21720, lr=0.109750, batch loss=0.007080, epoch loss=0.009791
Batch=179, step=21780, lr=0.109500, batch loss=0.012985, epoch loss=0.022777
Batch=239, step=21840, lr=0.109250, batch loss=0.009950, epoch loss=0.032727
Batch=299, step=21900, lr=0.109000, batch loss=0.015852, epoch loss=0.048579
Batch=359, step=21960, lr=0.108750, batch loss=0.015254, epoch loss=0.063833
Batch=419, step=22020, lr=0.108500, batch loss=0.012540, epoch loss=0.076373
Batch=479, step=22080, lr=0.108250, batch loss=0.002840, epoch loss=0.079212
Batch=539, step=22140, lr=0.108000, batch loss=0.019032, epoch loss=0.098244
Batch=599, step=22200, lr=0.107750, batch loss=0.017295, epoch loss=0.115539
Batch=659, step=22260, lr=0.107500, batch loss=0.015984, epoch loss=0.131523
Batch=719, step=22320, lr=0.107250, batch loss=0.022936, epoch loss=0.154459
Batch=779, step=22380, lr=0.107000, batch loss=0.029379, epoch loss=0.183838
Batch=839, step=22440, lr=0.106750, batch loss=0.029626, epoch loss=0.213464
Batch=899, step=22500, lr=0.106500, batch loss=0.023818, epoch loss=0.237282
Batch=959, step=22560, lr=0.106000, batch loss=0.008953, epoch loss=0.246236
Batch=1019, step=22620, lr=0.106000, batch loss=0.007482, epoch loss=0.253718
Batch=1079, step=22680, lr=0.105750, batch loss=0.002562, epoch loss=0.256280
Batch=1139, step=22740, lr=0.105500, batch loss=0.011183, epoch loss=0.267463
Batch=1199, step=22800, lr=0.105000, batch loss=0.005136, epoch loss=0.272599
Epoch=18, step=22800, lr=0.105000, epoch loss=0.272599
Batch=59, step=22860, lr=0.105000, batch loss=0.002374, epoch loss=0.002374
Batch=119, step=22920, lr=0.104750, batch loss=0.005250, epoch loss=0.007624
Batch=179, step=22980, lr=0.104500, batch loss=0.012256, epoch loss=0.019880
Batch=239, step=23040, lr=0.104250, batch loss=0.008537, epoch loss=0.028417
Batch=299, step=23100, lr=0.104000, batch loss=0.004765, epoch loss=0.033182
Batch=359, step=23160, lr=0.103750, batch loss=0.011774, epoch loss=0.044956
Batch=419, step=23220, lr=0.103500, batch loss=0.010069, epoch loss=0.055025
Batch=479, step=23280, lr=0.103250, batch loss=0.004654, epoch loss=0.059679
Batch=539, step=23340, lr=0.103000, batch loss=0.014986, epoch loss=0.074665
Batch=599, step=23400, lr=0.102750, batch loss=0.014314, epoch loss=0.088979
Batch=659, step=23460, lr=0.102500, batch loss=0.012704, epoch loss=0.101683
Batch=719, step=23520, lr=0.102000, batch loss=0.017444, epoch loss=0.119127
Batch=779, step=23580, lr=0.102000, batch loss=0.021115, epoch loss=0.140242
Batch=839, step=23640, lr=0.101750, batch loss=0.025480, epoch loss=0.165722
Batch=899, step=23700, lr=0.101500, batch loss=0.022198, epoch loss=0.187920
Batch=959, step=23760, lr=0.101250, batch loss=0.008674, epoch loss=0.196594
Batch=1019, step=23820, lr=0.101000, batch loss=0.008302, epoch loss=0.204896
Batch=1079, step=23880, lr=0.100750, batch loss=0.001513, epoch loss=0.206409
Batch=1139, step=23940, lr=0.100500, batch loss=0.008835, epoch loss=0.215244
Batch=1199, step=24000, lr=0.100250, batch loss=0.004933, epoch loss=0.220177
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220177


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-04-10 12:45.19 ---> saved as "151544b23c5d777787d43f5da0c528313b65ec1cd865e9e8fdbc2d18adea11c1"
Job succeeded
2025-04-10 12:45.20: Job succeeded