debian-12-5.3_arm64_opam-2.3

2025-04-10 12:25.41: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a65dd8955db6894ca41a3c2080e5dda2dd1bf41f) (linux-arm64:debian-12-5.3_arm64_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661
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@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661
# debian-12-5.3_arm64_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 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 12:25.41: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661-debian-12-5.3_arm64_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04"
2025-04-10 12:25.41: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661)
(comment debian-12-5.3_arm64_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 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 12:25.41: Waiting for resource in pool OCluster
2025-04-10 12:25.59: Waiting for worker…
2025-04-10 12:25.59: Got resource from pool OCluster
Building on okypous.caelum.ci.dev
All commits already cached
HEAD is now at a65dd895 Tiny formatting


(from ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661' locally
docker.io/ocaml/opam@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661: Pulling from ocaml/opam
Digest: sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661
Status: Downloaded newer image for ocaml/opam@sha256:64cd2004e4fda0cc34f564ffdf3997bd4e1e7fc6cbeea881c59a8f5bd22dc661
2025-04-10 12:25.42 ---> using "d28b54bcf65c58f2466132f3f25ef6d2e8fc8819a7932c743b84c913ccd00505" from cache


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


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-04-10 12:25.42 ---> saved as "f78708044cfae53a962bc7ad73abd6d985e62edec569df9dab005baa5a11edd7"


/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 12:26.10 ---> saved as "16971ad0efb5e71874594e47c41be7ed4df63552ac2969c6388265225d55f7b5"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-04-10 12:26.10 ---> saved as "c27eac081e6f4ace2f6a8b562362398f799dfb45b8d78d6fe63a3bfece7ebcd2"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-04-10 12:26.10 ---> saved as "15fa3b7d3c56cf9b4394ea8aaf844ece905b30183ffec1ed6d09350bf0feefae"


/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 12:26.32 ---> saved as "4d383ec5a6d7977cb4ac293644d5e1f0ff5169802b950d2149c39aadf37a4959"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-04-10 12:26.32 ---> saved as "c7b2bc7dce42ca0c82be4e203265639fffce27c4bc1914201ceb1b0dc98ed304"


/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 12:26.35 ---> saved as "81acaef9c10ace11d6e51c97e886b6a917f23c71a7abe0314697b119ec7600dc"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-04-10 12:26.35 ---> saved as "5590f80c4fcdbc893b76debc2faec450251c5d4a66bb192f8db43dbdb57fcf8d"


/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 arm64 Packages [248 kB]
- Fetched 352 kB in 0s (799 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:arm64.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18801 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_arm64.deb ...
- Unpacking libffi-dev:arm64 (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:arm64.
- Preparing to unpack .../libpkgconf3_1.8.1-1_arm64.deb ...
- Unpacking libpkgconf3:arm64 (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_arm64.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:arm64.
- Preparing to unpack .../pkgconf_1.8.1-1_arm64.deb ...
- Unpacking pkgconf:arm64 (1.8.1-1) ...
- Selecting previously unselected package pkg-config:arm64.
- Preparing to unpack .../pkg-config_1.8.1-1_arm64.deb ...
- Unpacking pkg-config:arm64 (1.8.1-1) ...
- Setting up libffi-dev:arm64 (3.4.4-1) ...
- Setting up libpkgconf3:arm64 (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:arm64 (1.8.1-1) ...
- Setting up pkg-config:arm64 (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-04-10 12:26.48 ---> saved as "2f1c66dd19e98a2e40800cbb84afac618c26b9e66b60dcfd1ea8a528345faaa8"


/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 backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved base.v0.17.1  (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
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved csexp.1.5.2  (cached)
-> installed conf-libffi.2.0.0
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (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 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 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 dune.3.18.0, dune-configurator.3.18.0  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> 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.3.18.0
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed cppo.1.8.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed ocaml-compiler-libs.v0.17.0
-> 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 mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed ppx_sexp_conv.v0.17.0
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> 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)
2025-04-10 12:28.08 ---> saved as "896a4c6cfe825b4eb6b71a2c509ff73bf6e5c9b696e797b0dce5c63d1de0ad59"


/src: (copy (src .) (dst /src))
2025-04-10 12:28.08 ---> saved as "c5a20c900a31e86af77ca6256579f53343c432a4b512eb679fc38228ef3f6cd6"


/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/34018e5a543a5c58b1eb75b030d48876/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ca86c41b3dd8c0d932a9a86f2dcc14f7/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/ca86c41b3dd8c0d932a9a86f2dcc14f7/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=0.198750, batch loss=1.447177, epoch loss=37.072215
Batch=359, step=360, lr=0.198500, batch loss=1.327597, epoch loss=38.399812
Batch=419, step=420, lr=0.198250, batch loss=0.619133, epoch loss=39.018944
Batch=479, step=480, lr=0.198250, batch loss=0.821263, epoch loss=39.840207
Batch=539, step=540, lr=0.198000, batch loss=0.692611, epoch loss=40.532818
Batch=599, step=600, lr=0.197750, batch loss=1.063080, epoch loss=41.595898
Batch=659, step=660, lr=0.197500, batch loss=0.483658, epoch loss=42.079556
Batch=719, step=720, lr=0.197250, batch loss=0.411423, epoch loss=42.490979
Batch=779, step=780, lr=0.197000, batch loss=0.470142, epoch loss=42.961121
Batch=839, step=840, lr=0.196750, batch loss=0.446885, epoch loss=43.408006
Batch=899, step=900, lr=0.196500, batch loss=0.382839, epoch loss=43.790845
Batch=959, step=960, lr=0.196250, batch loss=0.245016, epoch loss=44.035861
Batch=1019, step=1020, lr=0.195750, batch loss=0.467108, epoch loss=44.502969
Batch=1079, step=1080, lr=0.195750, batch loss=0.248258, epoch loss=44.751226
Batch=1139, step=1140, lr=0.195500, batch loss=0.318151, epoch loss=45.069377
Batch=1199, step=1200, lr=0.195000, batch loss=0.263654, epoch loss=45.333031
Epoch=0, step=1200, lr=0.195000, epoch loss=45.333031
Batch=59, step=1260, lr=0.194750, batch loss=0.262140, epoch loss=0.262140
Batch=119, step=1320, lr=0.194750, batch loss=0.205436, epoch loss=0.467577
Batch=179, step=1380, lr=0.194500, batch loss=0.243650, epoch loss=0.711226
Batch=239, step=1440, lr=0.194250, batch loss=0.347729, epoch loss=1.058955
Batch=299, step=1500, lr=0.194000, batch loss=0.247724, epoch loss=1.306679
Batch=359, step=1560, lr=0.193750, batch loss=0.316192, epoch loss=1.622872
Batch=419, step=1620, lr=0.193500, batch loss=0.309075, epoch loss=1.931946
Batch=479, step=1680, lr=0.193250, batch loss=0.274907, epoch loss=2.206853
Batch=539, step=1740, lr=0.193000, batch loss=0.210360, epoch loss=2.417213
Batch=599, step=1800, lr=0.192750, batch loss=0.251984, epoch loss=2.669197
Batch=659, step=1860, lr=0.192500, batch loss=0.367143, epoch loss=3.036340
Batch=719, step=1920, lr=0.192250, batch loss=0.355066, epoch loss=3.391405
Batch=779, step=1980, lr=0.192000, batch loss=0.380862, epoch loss=3.772267
Batch=839, step=2040, lr=0.191750, batch loss=0.340227, epoch loss=4.112494
Batch=899, step=2100, lr=0.191500, batch loss=0.294910, epoch loss=4.407404
Batch=959, step=2160, lr=0.191250, batch loss=0.214422, epoch loss=4.621825
Batch=1019, step=2220, lr=0.191000, batch loss=0.329678, epoch loss=4.951503
Batch=1079, step=2280, lr=0.190500, batch loss=0.196156, epoch loss=5.147659
Batch=1139, step=2340, lr=0.190500, batch loss=0.260763, epoch loss=5.408421
Batch=1199, step=2400, lr=0.190000, batch loss=0.210787, epoch loss=5.619208
Epoch=1, step=2400, lr=0.190000, epoch loss=5.619208
Batch=59, step=2460, lr=0.189750, batch loss=0.228400, epoch loss=0.228400
Batch=119, step=2520, lr=0.189500, batch loss=0.199033, epoch loss=0.427433
Batch=179, step=2580, lr=0.189250, batch loss=0.220940, epoch loss=0.648373
Batch=239, step=2640, lr=0.189250, batch loss=0.326399, epoch loss=0.974773
Batch=299, step=2700, lr=0.189000, batch loss=0.215276, epoch loss=1.190049
Batch=359, step=2760, lr=0.188750, batch loss=0.292615, epoch loss=1.482663
Batch=419, step=2820, lr=0.188250, batch loss=0.286131, epoch loss=1.768795
Batch=479, step=2880, lr=0.188000, batch loss=0.261656, epoch loss=2.030450
Batch=539, step=2940, lr=0.188000, batch loss=0.201956, epoch loss=2.232406
Batch=599, step=3000, lr=0.187750, batch loss=0.245211, epoch loss=2.477617
Batch=659, step=3060, lr=0.187500, batch loss=0.344959, epoch loss=2.822576
Batch=719, step=3120, lr=0.187250, batch loss=0.346642, epoch loss=3.169218
Batch=779, step=3180, lr=0.187000, batch loss=0.363879, epoch loss=3.533097
Batch=839, step=3240, lr=0.186750, batch loss=0.323549, epoch loss=3.856646
Batch=899, step=3300, lr=0.186500, batch loss=0.296885, epoch loss=4.153531
Batch=959, step=3360, lr=0.186250, batch loss=0.242275, epoch loss=4.395806
Batch=1019, step=3420, lr=0.186000, batch loss=0.370143, epoch loss=4.765950
Batch=1079, step=3480, lr=0.185500, batch loss=0.231254, epoch loss=4.997204
Batch=1139, step=3540, lr=0.185500, batch loss=0.260003, epoch loss=5.257207
Batch=1199, step=3600, lr=0.185250, batch loss=0.201497, epoch loss=5.458704
Epoch=2, step=3600, lr=0.185250, epoch loss=5.458704
Batch=59, step=3660, lr=0.185000, batch loss=0.223541, epoch loss=0.223541
Batch=119, step=3720, lr=0.184750, batch loss=0.184350, epoch loss=0.407891
Batch=179, step=3780, lr=0.184500, batch loss=0.212050, epoch loss=0.619942
Batch=239, step=3840, lr=0.184250, batch loss=0.315888, epoch loss=0.935829
Batch=299, step=3900, lr=0.184000, batch loss=0.205814, epoch loss=1.141644
Batch=359, step=3960, lr=0.183750, batch loss=0.287322, epoch loss=1.428966
Batch=419, step=4020, lr=0.183500, batch loss=0.273995, epoch loss=1.702960
Batch=479, step=4080, lr=0.183250, batch loss=0.259691, epoch loss=1.962651
Batch=539, step=4140, lr=0.183000, batch loss=0.194362, epoch loss=2.157014
Batch=599, step=4200, lr=0.182750, batch loss=0.229895, epoch loss=2.386908
Batch=659, step=4260, lr=0.182500, batch loss=0.330054, epoch loss=2.716962
Batch=719, step=4320, lr=0.182250, batch loss=0.334770, epoch loss=3.051732
Batch=779, step=4380, lr=0.182000, batch loss=0.356212, epoch loss=3.407944
Batch=839, step=4440, lr=0.181750, batch loss=0.313527, epoch loss=3.721471
Batch=899, step=4500, lr=0.181500, batch loss=0.284331, epoch loss=4.005802
Batch=959, step=4560, lr=0.181250, batch loss=0.234052, epoch loss=4.239854
Batch=1019, step=4620, lr=0.181000, batch loss=0.323336, epoch loss=4.563190
Batch=1079, step=4680, lr=0.180750, batch loss=0.191044, epoch loss=4.754234
Batch=1139, step=4740, lr=0.180500, batch loss=0.227439, epoch loss=4.981672
Batch=1199, step=4800, lr=0.180250, batch loss=0.191730, epoch loss=5.173402
Epoch=3, step=4800, lr=0.180250, epoch loss=5.173402
Batch=59, step=4860, lr=0.180000, batch loss=0.229316, epoch loss=0.229316
Batch=119, step=4920, lr=0.179750, batch loss=0.189597, epoch loss=0.418913
Batch=179, step=4980, lr=0.179500, batch loss=0.206048, epoch loss=0.624960
Batch=239, step=5040, lr=0.179250, batch loss=0.307293, epoch loss=0.932253
Batch=299, step=5100, lr=0.179000, batch loss=0.201143, epoch loss=1.133396
Batch=359, step=5160, lr=0.178750, batch loss=0.274112, epoch loss=1.407508
Batch=419, step=5220, lr=0.178500, batch loss=0.264434, epoch loss=1.671942
Batch=479, step=5280, lr=0.178250, batch loss=0.240162, epoch loss=1.912103
Batch=539, step=5340, lr=0.178000, batch loss=0.189389, epoch loss=2.101493
Batch=599, step=5400, lr=0.177750, batch loss=0.232217, epoch loss=2.333710
Batch=659, step=5460, lr=0.177500, batch loss=0.323760, epoch loss=2.657470
Batch=719, step=5520, lr=0.177250, batch loss=0.325383, epoch loss=2.982853
Batch=779, step=5580, lr=0.177000, batch loss=0.338508, epoch loss=3.321360
Batch=839, step=5640, lr=0.176750, batch loss=0.313890, epoch loss=3.635251
Batch=899, step=5700, lr=0.176500, batch loss=0.277837, epoch loss=3.913087
Batch=959, step=5760, lr=0.176250, batch loss=0.219912, epoch loss=4.133000
Batch=1019, step=5820, lr=0.176000, batch loss=0.332786, epoch loss=4.465786
Batch=1079, step=5880, lr=0.175750, batch loss=0.199415, epoch loss=4.665201
Batch=1139, step=5940, lr=0.175500, batch loss=0.237677, epoch loss=4.902877
Batch=1199, step=6000, lr=0.175000, batch loss=0.186074, epoch loss=5.088951
Epoch=4, step=6000, lr=0.175000, epoch loss=5.088951
Batch=59, step=6060, lr=0.175000, batch loss=0.233263, epoch loss=0.233263
Batch=119, step=6120, lr=0.174750, batch loss=0.192173, epoch loss=0.425436
Batch=179, step=6180, lr=0.174500, batch loss=0.201690, epoch loss=0.627126
Batch=239, step=6240, lr=0.174250, batch loss=0.298294, epoch loss=0.925419
Batch=299, step=6300, lr=0.174000, batch loss=0.201032, epoch loss=1.126452
Batch=359, step=6360, lr=0.173750, batch loss=0.263044, epoch loss=1.389496
Batch=419, step=6420, lr=0.173500, batch loss=0.257564, epoch loss=1.647059
Batch=479, step=6480, lr=0.173250, batch loss=0.231631, epoch loss=1.878690
Batch=539, step=6540, lr=0.172750, batch loss=0.190429, epoch loss=2.069119
Batch=599, step=6600, lr=0.172750, batch loss=0.232504, epoch loss=2.301623
Batch=659, step=6660, lr=0.172500, batch loss=0.312839, epoch loss=2.614462
Batch=719, step=6720, lr=0.172250, batch loss=0.316646, epoch loss=2.931109
Batch=779, step=6780, lr=0.172000, batch loss=0.328930, epoch loss=3.260039
Batch=839, step=6840, lr=0.171750, batch loss=0.305904, epoch loss=3.565943
Batch=899, step=6900, lr=0.171500, batch loss=0.263295, epoch loss=3.829238
Batch=959, step=6960, lr=0.171250, batch loss=0.217025, epoch loss=4.046263
Batch=1019, step=7020, lr=0.171000, batch loss=0.322260, epoch loss=4.368523
Batch=1079, step=7080, lr=0.170750, batch loss=0.180285, epoch loss=4.548808
Batch=1139, step=7140, lr=0.170500, batch loss=0.218028, epoch loss=4.766835
Batch=1199, step=7200, lr=0.170250, batch loss=0.182537, epoch loss=4.949372
Epoch=5, step=7200, lr=0.170250, epoch loss=4.949372
Batch=59, step=7260, lr=0.170000, batch loss=0.241002, epoch loss=0.241002
Batch=119, step=7320, lr=0.169750, batch loss=0.179525, epoch loss=0.420527
Batch=179, step=7380, lr=0.169500, batch loss=0.194421, epoch loss=0.614947
Batch=239, step=7440, lr=0.169250, batch loss=0.290014, epoch loss=0.904961
Batch=299, step=7500, lr=0.169000, batch loss=0.209190, epoch loss=1.114152
Batch=359, step=7560, lr=0.168750, batch loss=0.260667, epoch loss=1.374818
Batch=419, step=7620, lr=0.168500, batch loss=0.255162, epoch loss=1.629980
Batch=479, step=7680, lr=0.168250, batch loss=0.238340, epoch loss=1.868320
Batch=539, step=7740, lr=0.168000, batch loss=0.186744, epoch loss=2.055064
Batch=599, step=7800, lr=0.167750, batch loss=0.227179, epoch loss=2.282243
Batch=659, step=7860, lr=0.167500, batch loss=0.303890, epoch loss=2.586133
Batch=719, step=7920, lr=0.167250, batch loss=0.307080, epoch loss=2.893213
Batch=779, step=7980, lr=0.167000, batch loss=0.320284, epoch loss=3.213497
Batch=839, step=8040, lr=0.166750, batch loss=0.296051, epoch loss=3.509548
Batch=899, step=8100, lr=0.166500, batch loss=0.258706, epoch loss=3.768254
Batch=959, step=8160, lr=0.166250, batch loss=0.208634, epoch loss=3.976888
Batch=1019, step=8220, lr=0.166000, batch loss=0.315640, epoch loss=4.292528
Batch=1079, step=8280, lr=0.165750, batch loss=0.175026, epoch loss=4.467554
Batch=1139, step=8340, lr=0.165500, batch loss=0.208597, epoch loss=4.676151
Batch=1199, step=8400, lr=0.165250, batch loss=0.176787, epoch loss=4.852938
Epoch=6, step=8400, lr=0.165250, epoch loss=4.852938
Batch=59, step=8460, lr=0.165000, batch loss=0.231619, epoch loss=0.231619
Batch=119, step=8520, lr=0.164750, batch loss=0.173569, epoch loss=0.405188
Batch=179, step=8580, lr=0.164500, batch loss=0.186977, epoch loss=0.592165
Batch=239, step=8640, lr=0.164250, batch loss=0.276770, epoch loss=0.868935
Batch=299, step=8700, lr=0.164000, batch loss=0.189737, epoch loss=1.058672
Batch=359, step=8760, lr=0.163750, batch loss=0.249708, epoch loss=1.308381
Batch=419, step=8820, lr=0.163500, batch loss=0.243668, epoch loss=1.552048
Batch=479, step=8880, lr=0.163250, batch loss=0.229494, epoch loss=1.781542
Batch=539, step=8940, lr=0.163000, batch loss=0.176860, epoch loss=1.958403
Batch=599, step=9000, lr=0.162500, batch loss=0.219279, epoch loss=2.177681
Batch=659, step=9060, lr=0.162500, batch loss=0.292862, epoch loss=2.470544
Batch=719, step=9120, lr=0.162000, batch loss=0.294938, epoch loss=2.765481
Batch=779, step=9180, lr=0.162000, batch loss=0.313663, epoch loss=3.079144
Batch=839, step=9240, lr=0.161750, batch loss=0.287078, epoch loss=3.366222
Batch=899, step=9300, lr=0.161250, batch loss=0.249822, epoch loss=3.616044
Batch=959, step=9360, lr=0.161250, batch loss=0.190792, epoch loss=3.806836
Batch=1019, step=9420, lr=0.161000, batch loss=0.314111, epoch loss=4.120947
Batch=1079, step=9480, lr=0.160500, batch loss=0.191342, epoch loss=4.312289
Batch=1139, step=9540, lr=0.160500, batch loss=0.211409, epoch loss=4.523698
Batch=1199, step=9600, lr=0.160250, batch loss=0.166937, epoch loss=4.690634
Epoch=7, step=9600, lr=0.160250, epoch loss=4.690634
Batch=59, step=9660, lr=0.160000, batch loss=0.199586, epoch loss=0.199586
Batch=119, step=9720, lr=0.159750, batch loss=0.162847, epoch loss=0.362434
Batch=179, step=9780, lr=0.159500, batch loss=0.177444, epoch loss=0.539878
Batch=239, step=9840, lr=0.159250, batch loss=0.261416, epoch loss=0.801294
Batch=299, step=9900, lr=0.159000, batch loss=0.181161, epoch loss=0.982454
Batch=359, step=9960, lr=0.158750, batch loss=0.240239, epoch loss=1.222693
Batch=419, step=10020, lr=0.158500, batch loss=0.230829, epoch loss=1.453523
Batch=479, step=10080, lr=0.158250, batch loss=0.214238, epoch loss=1.667761
Batch=539, step=10140, lr=0.158000, batch loss=0.169794, epoch loss=1.837555
Batch=599, step=10200, lr=0.157750, batch loss=0.202477, epoch loss=2.040032
Batch=659, step=10260, lr=0.157500, batch loss=0.279968, epoch loss=2.320000
Batch=719, step=10320, lr=0.157250, batch loss=0.284730, epoch loss=2.604730
Batch=779, step=10380, lr=0.157000, batch loss=0.293180, epoch loss=2.897911
Batch=839, step=10440, lr=0.156750, batch loss=0.272721, epoch loss=3.170632
Batch=899, step=10500, lr=0.156500, batch loss=0.234749, epoch loss=3.405381
Batch=959, step=10560, lr=0.156250, batch loss=0.182498, epoch loss=3.587880
Batch=1019, step=10620, lr=0.156000, batch loss=0.294485, epoch loss=3.882364
Batch=1079, step=10680, lr=0.155750, batch loss=0.181188, epoch loss=4.063552
Batch=1139, step=10740, lr=0.155500, batch loss=0.203746, epoch loss=4.267298
Batch=1199, step=10800, lr=0.155250, batch loss=0.155334, epoch loss=4.422631
Epoch=8, step=10800, lr=0.155250, epoch loss=4.422631
Batch=59, step=10860, lr=0.155000, batch loss=0.179277, epoch loss=0.179277
Batch=119, step=10920, lr=0.154750, batch loss=0.149895, epoch loss=0.329172
Batch=179, step=10980, lr=0.154500, batch loss=0.166456, epoch loss=0.495628
Batch=239, step=11040, lr=0.154250, batch loss=0.247665, epoch loss=0.743293
Batch=299, step=11100, lr=0.154000, batch loss=0.164038, epoch loss=0.907331
Batch=359, step=11160, lr=0.153750, batch loss=0.223320, epoch loss=1.130651
Batch=419, step=11220, lr=0.153500, batch loss=0.228499, epoch loss=1.359150
Batch=479, step=11280, lr=0.153250, batch loss=0.201631, epoch loss=1.560781
Batch=539, step=11340, lr=0.153000, batch loss=0.159446, epoch loss=1.720226
Batch=599, step=11400, lr=0.152750, batch loss=0.183126, epoch loss=1.903352
Batch=659, step=11460, lr=0.152500, batch loss=0.260910, epoch loss=2.164262
Batch=719, step=11520, lr=0.152250, batch loss=0.256431, epoch loss=2.420693
Batch=779, step=11580, lr=0.152000, batch loss=0.268897, epoch loss=2.689589
Batch=839, step=11640, lr=0.151750, batch loss=0.255436, epoch loss=2.945026
Batch=899, step=11700, lr=0.151500, batch loss=0.215305, epoch loss=3.160331
Batch=959, step=11760, lr=0.151250, batch loss=0.172891, epoch loss=3.333222
Batch=1019, step=11820, lr=0.151000, batch loss=0.257727, epoch loss=3.590949
Batch=1079, step=11880, lr=0.150750, batch loss=0.139675, epoch loss=3.730624
Batch=1139, step=11940, lr=0.150500, batch loss=0.178986, epoch loss=3.909610
Batch=1199, step=12000, lr=0.150250, batch loss=0.138553, epoch loss=4.048163
Epoch=9, step=12000, lr=0.150250, epoch loss=4.048163
Batch=59, step=12060, lr=0.150000, batch loss=0.159962, epoch loss=0.159962
Batch=119, step=12120, lr=0.149750, batch loss=0.135911, epoch loss=0.295873
Batch=179, step=12180, lr=0.149500, batch loss=0.150006, epoch loss=0.445880
Batch=239, step=12240, lr=0.149250, batch loss=0.217792, epoch loss=0.663672
Batch=299, step=12300, lr=0.149000, batch loss=0.140411, epoch loss=0.804083
Batch=359, step=12360, lr=0.148750, batch loss=0.197512, epoch loss=1.001595
Batch=419, step=12420, lr=0.148500, batch loss=0.204447, epoch loss=1.206042
Batch=479, step=12480, lr=0.148250, batch loss=0.177415, epoch loss=1.383457
Batch=539, step=12540, lr=0.148000, batch loss=0.141127, epoch loss=1.524584
Batch=599, step=12600, lr=0.147750, batch loss=0.147509, epoch loss=1.672092
Batch=659, step=12660, lr=0.147500, batch loss=0.224938, epoch loss=1.897030
Batch=719, step=12720, lr=0.147250, batch loss=0.233561, epoch loss=2.130591
Batch=779, step=12780, lr=0.147000, batch loss=0.263197, epoch loss=2.393788
Batch=839, step=12840, lr=0.146750, batch loss=0.231946, epoch loss=2.625734
Batch=899, step=12900, lr=0.146500, batch loss=0.202327, epoch loss=2.828061
Batch=959, step=12960, lr=0.146250, batch loss=0.143807, epoch loss=2.971868
Batch=1019, step=13020, lr=0.146000, batch loss=0.242086, epoch loss=3.213954
Batch=1079, step=13080, lr=0.145750, batch loss=0.111415, epoch loss=3.325369
Batch=1139, step=13140, lr=0.145500, batch loss=0.148406, epoch loss=3.473775
Batch=1199, step=13200, lr=0.145250, batch loss=0.114691, epoch loss=3.588465
Epoch=10, step=13200, lr=0.145250, epoch loss=3.588465
Batch=59, step=13260, lr=0.145000, batch loss=0.135848, epoch loss=0.135848
Batch=119, step=13320, lr=0.144750, batch loss=0.122204, epoch loss=0.258052
Batch=179, step=13380, lr=0.144500, batch loss=0.125815, epoch loss=0.383867
Batch=239, step=13440, lr=0.144250, batch loss=0.185045, epoch loss=0.568912
Batch=299, step=13500, lr=0.144000, batch loss=0.113481, epoch loss=0.682393
Batch=359, step=13560, lr=0.143750, batch loss=0.157747, epoch loss=0.840140
Batch=419, step=13620, lr=0.143500, batch loss=0.158752, epoch loss=0.998892
Batch=479, step=13680, lr=0.143250, batch loss=0.143326, epoch loss=1.142218
Batch=539, step=13740, lr=0.143000, batch loss=0.116851, epoch loss=1.259069
Batch=599, step=13800, lr=0.142750, batch loss=0.117852, epoch loss=1.376921
Batch=659, step=13860, lr=0.142500, batch loss=0.171760, epoch loss=1.548681
Batch=719, step=13920, lr=0.142250, batch loss=0.172798, epoch loss=1.721479
Batch=779, step=13980, lr=0.142000, batch loss=0.193665, epoch loss=1.915145
Batch=839, step=14040, lr=0.141750, batch loss=0.186568, epoch loss=2.101713
Batch=899, step=14100, lr=0.141500, batch loss=0.175447, epoch loss=2.277160
Batch=959, step=14160, lr=0.141250, batch loss=0.143029, epoch loss=2.420190
Batch=1019, step=14220, lr=0.141000, batch loss=0.320426, epoch loss=2.740615
Batch=1079, step=14280, lr=0.140750, batch loss=0.070934, epoch loss=2.811550
Batch=1139, step=14340, lr=0.140500, batch loss=0.126544, epoch loss=2.938094
Batch=1199, step=14400, lr=0.140250, batch loss=0.093770, epoch loss=3.031864
Epoch=11, step=14400, lr=0.140250, epoch loss=3.031864
Batch=59, step=14460, lr=0.140000, batch loss=0.113028, epoch loss=0.113028
Batch=119, step=14520, lr=0.139750, batch loss=0.105639, epoch loss=0.218667
Batch=179, step=14580, lr=0.139500, batch loss=0.104844, epoch loss=0.323510
Batch=239, step=14640, lr=0.139000, batch loss=0.138180, epoch loss=0.461691
Batch=299, step=14700, lr=0.138750, batch loss=0.070932, epoch loss=0.532623
Batch=359, step=14760, lr=0.138750, batch loss=0.118290, epoch loss=0.650913
Batch=419, step=14820, lr=0.138500, batch loss=0.124877, epoch loss=0.775791
Batch=479, step=14880, lr=0.138250, batch loss=0.101459, epoch loss=0.877250
Batch=539, step=14940, lr=0.137750, batch loss=0.117129, epoch loss=0.994379
Batch=599, step=15000, lr=0.137750, batch loss=0.087652, epoch loss=1.082031
Batch=659, step=15060, lr=0.137500, batch loss=0.124138, epoch loss=1.206169
Batch=719, step=15120, lr=0.137250, batch loss=0.127460, epoch loss=1.333629
Batch=779, step=15180, lr=0.137000, batch loss=0.149045, epoch loss=1.482673
Batch=839, step=15240, lr=0.136750, batch loss=0.156915, epoch loss=1.639588
Batch=899, step=15300, lr=0.136500, batch loss=0.253568, epoch loss=1.893157
Batch=959, step=15360, lr=0.136250, batch loss=0.051342, epoch loss=1.944499
Batch=1019, step=15420, lr=0.136000, batch loss=0.122899, epoch loss=2.067398
Batch=1079, step=15480, lr=0.135750, batch loss=0.054903, epoch loss=2.122301
Batch=1139, step=15540, lr=0.135500, batch loss=0.103240, epoch loss=2.225540
Batch=1199, step=15600, lr=0.135250, batch loss=0.058150, epoch loss=2.283691
Epoch=12, step=15600, lr=0.135250, epoch loss=2.283691
Batch=59, step=15660, lr=0.135000, batch loss=0.087963, epoch loss=0.087963
Batch=119, step=15720, lr=0.134750, batch loss=0.142104, epoch loss=0.230067
Batch=179, step=15780, lr=0.134500, batch loss=0.101176, epoch loss=0.331243
Batch=239, step=15840, lr=0.134250, batch loss=0.097505, epoch loss=0.428748
Batch=299, step=15900, lr=0.134000, batch loss=0.052070, epoch loss=0.480818
Batch=359, step=15960, lr=0.133750, batch loss=0.094373, epoch loss=0.575191
Batch=419, step=16020, lr=0.133500, batch loss=0.074994, epoch loss=0.650185
Batch=479, step=16080, lr=0.133250, batch loss=0.048455, epoch loss=0.698640
Batch=539, step=16140, lr=0.133000, batch loss=0.064913, epoch loss=0.763553
Batch=599, step=16200, lr=0.132750, batch loss=0.158691, epoch loss=0.922245
Batch=659, step=16260, lr=0.132500, batch loss=0.092897, epoch loss=1.015141
Batch=719, step=16320, lr=0.132000, batch loss=0.115900, epoch loss=1.131041
Batch=779, step=16380, lr=0.132000, batch loss=0.261661, epoch loss=1.392703
Batch=839, step=16440, lr=0.131750, batch loss=0.088229, epoch loss=1.480932
Batch=899, step=16500, lr=0.131500, batch loss=0.073777, epoch loss=1.554708
Batch=959, step=16560, lr=0.131250, batch loss=0.032272, epoch loss=1.586980
Batch=1019, step=16620, lr=0.131000, batch loss=0.064395, epoch loss=1.651375
Batch=1079, step=16680, lr=0.130750, batch loss=0.045851, epoch loss=1.697226
Batch=1139, step=16740, lr=0.130500, batch loss=0.073751, epoch loss=1.770977
Batch=1199, step=16800, lr=0.130250, batch loss=0.033408, epoch loss=1.804386
Epoch=13, step=16800, lr=0.130250, epoch loss=1.804386
Batch=59, step=16860, lr=0.130000, batch loss=0.032370, epoch loss=0.032370
Batch=119, step=16920, lr=0.129750, batch loss=0.034697, epoch loss=0.067067
Batch=179, step=16980, lr=0.129500, batch loss=0.041011, epoch loss=0.108078
Batch=239, step=17040, lr=0.129250, batch loss=0.059244, epoch loss=0.167322
Batch=299, step=17100, lr=0.129000, batch loss=0.021621, epoch loss=0.188944
Batch=359, step=17160, lr=0.128750, batch loss=0.044572, epoch loss=0.233515
Batch=419, step=17220, lr=0.128500, batch loss=0.067318, epoch loss=0.300834
Batch=479, step=17280, lr=0.128250, batch loss=0.020953, epoch loss=0.321786
Batch=539, step=17340, lr=0.128000, batch loss=0.027147, epoch loss=0.348934
Batch=599, step=17400, lr=0.127750, batch loss=0.038668, epoch loss=0.387601
Batch=659, step=17460, lr=0.127500, batch loss=0.050242, epoch loss=0.437844
Batch=719, step=17520, lr=0.127250, batch loss=0.069035, epoch loss=0.506879
Batch=779, step=17580, lr=0.127000, batch loss=0.065300, epoch loss=0.572179
Batch=839, step=17640, lr=0.126750, batch loss=0.099542, epoch loss=0.671721
Batch=899, step=17700, lr=0.126500, batch loss=0.047601, epoch loss=0.719322
Batch=959, step=17760, lr=0.126250, batch loss=0.018173, epoch loss=0.737494
Batch=1019, step=17820, lr=0.126000, batch loss=0.051643, epoch loss=0.789137
Batch=1079, step=17880, lr=0.125750, batch loss=0.042987, epoch loss=0.832124
Batch=1139, step=17940, lr=0.125500, batch loss=0.069289, epoch loss=0.901413
Batch=1199, step=18000, lr=0.125250, batch loss=0.021577, epoch loss=0.922990
Epoch=14, step=18000, lr=0.125250, epoch loss=0.922990
Batch=59, step=18060, lr=0.124750, batch loss=0.015798, epoch loss=0.015798
Batch=119, step=18120, lr=0.124750, batch loss=0.019511, epoch loss=0.035309
Batch=179, step=18180, lr=0.124500, batch loss=0.028787, epoch loss=0.064096
Batch=239, step=18240, lr=0.124250, batch loss=0.036141, epoch loss=0.100237
Batch=299, step=18300, lr=0.124000, batch loss=0.013089, epoch loss=0.113326
Batch=359, step=18360, lr=0.123500, batch loss=0.022894, epoch loss=0.136219
Batch=419, step=18420, lr=0.123500, batch loss=0.026497, epoch loss=0.162717
Batch=479, step=18480, lr=0.123250, batch loss=0.021903, epoch loss=0.184620
Batch=539, step=18540, lr=0.123000, batch loss=0.042412, epoch loss=0.227032
Batch=599, step=18600, lr=0.122750, batch loss=0.025722, epoch loss=0.252754
Batch=659, step=18660, lr=0.122500, batch loss=0.031448, epoch loss=0.284203
Batch=719, step=18720, lr=0.122000, batch loss=0.044988, epoch loss=0.329191
Batch=779, step=18780, lr=0.122000, batch loss=0.117403, epoch loss=0.446594
Batch=839, step=18840, lr=0.121750, batch loss=0.055181, epoch loss=0.501774
Batch=899, step=18900, lr=0.121500, batch loss=0.057965, epoch loss=0.559740
Batch=959, step=18960, lr=0.121250, batch loss=0.013711, epoch loss=0.573451
Batch=1019, step=19020, lr=0.121000, batch loss=0.021748, epoch loss=0.595199
Batch=1079, step=19080, lr=0.120750, batch loss=0.009064, epoch loss=0.604263
Batch=1139, step=19140, lr=0.120500, batch loss=0.023146, epoch loss=0.627408
Batch=1199, step=19200, lr=0.120250, batch loss=0.008922, epoch loss=0.636331
Epoch=15, step=19200, lr=0.120250, epoch loss=0.636331
Batch=59, step=19260, lr=0.120000, batch loss=0.004108, epoch loss=0.004108
Batch=119, step=19320, lr=0.119750, batch loss=0.014478, epoch loss=0.018586
Batch=179, step=19380, lr=0.119500, batch loss=0.033483, epoch loss=0.052069
Batch=239, step=19440, lr=0.119250, batch loss=0.020096, epoch loss=0.072165
Batch=299, step=19500, lr=0.119000, batch loss=0.005069, epoch loss=0.077234
Batch=359, step=19560, lr=0.118750, batch loss=0.016885, epoch loss=0.094120
Batch=419, step=19620, lr=0.118500, batch loss=0.019733, epoch loss=0.113852
Batch=479, step=19680, lr=0.118250, batch loss=0.008669, epoch loss=0.122521
Batch=539, step=19740, lr=0.118000, batch loss=0.017373, epoch loss=0.139894
Batch=599, step=19800, lr=0.117750, batch loss=0.023226, epoch loss=0.163120
Batch=659, step=19860, lr=0.117500, batch loss=0.020298, epoch loss=0.183418
Batch=719, step=19920, lr=0.117250, batch loss=0.053681, epoch loss=0.237099
Batch=779, step=19980, lr=0.117000, batch loss=0.081863, epoch loss=0.318962
Batch=839, step=20040, lr=0.116750, batch loss=0.030410, epoch loss=0.349372
Batch=899, step=20100, lr=0.116500, batch loss=0.028344, epoch loss=0.377716
Batch=959, step=20160, lr=0.116250, batch loss=0.019678, epoch loss=0.397394
Batch=1019, step=20220, lr=0.116000, batch loss=0.025083, epoch loss=0.422477
Batch=1079, step=20280, lr=0.115750, batch loss=0.003151, epoch loss=0.425628
Batch=1139, step=20340, lr=0.115500, batch loss=0.014780, epoch loss=0.440408
Batch=1199, step=20400, lr=0.115250, batch loss=0.005968, epoch loss=0.446376
Epoch=16, step=20400, lr=0.115250, epoch loss=0.446376
Batch=59, step=20460, lr=0.115000, batch loss=0.002907, epoch loss=0.002907
Batch=119, step=20520, lr=0.114750, batch loss=0.009873, epoch loss=0.012779
Batch=179, step=20580, lr=0.114500, batch loss=0.025976, epoch loss=0.038756
Batch=239, step=20640, lr=0.114250, batch loss=0.013974, epoch loss=0.052730
Batch=299, step=20700, lr=0.114000, batch loss=0.002686, epoch loss=0.055416
Batch=359, step=20760, lr=0.113750, batch loss=0.012661, epoch loss=0.068077
Batch=419, step=20820, lr=0.113500, batch loss=0.016924, epoch loss=0.085000
Batch=479, step=20880, lr=0.113250, batch loss=0.005751, epoch loss=0.090751
Batch=539, step=20940, lr=0.113000, batch loss=0.015805, epoch loss=0.106556
Batch=599, step=21000, lr=0.112750, batch loss=0.018308, epoch loss=0.124864
Batch=659, step=21060, lr=0.112500, batch loss=0.014217, epoch loss=0.139081
Batch=719, step=21120, lr=0.112250, batch loss=0.043211, epoch loss=0.182292
Batch=779, step=21180, lr=0.112000, batch loss=0.070404, epoch loss=0.252696
Batch=839, step=21240, lr=0.111750, batch loss=0.025049, epoch loss=0.277745
Batch=899, step=21300, lr=0.111500, batch loss=0.028087, epoch loss=0.305832
Batch=959, step=21360, lr=0.111250, batch loss=0.009952, epoch loss=0.315784
Batch=1019, step=21420, lr=0.111000, batch loss=0.010478, epoch loss=0.326261
Batch=1079, step=21480, lr=0.110750, batch loss=0.001797, epoch loss=0.328058
Batch=1139, step=21540, lr=0.110500, batch loss=0.012573, epoch loss=0.340631
Batch=1199, step=21600, lr=0.110250, batch loss=0.005140, epoch loss=0.345771
Epoch=17, step=21600, lr=0.110250, epoch loss=0.345771
Batch=59, step=21660, lr=0.110000, batch loss=0.002412, epoch loss=0.002412
Batch=119, step=21720, lr=0.109750, batch loss=0.006477, epoch loss=0.008888
Batch=179, step=21780, lr=0.109500, batch loss=0.012110, epoch loss=0.020998
Batch=239, step=21840, lr=0.109250, batch loss=0.009814, epoch loss=0.030812
Batch=299, step=21900, lr=0.109000, batch loss=0.001661, epoch loss=0.032474
Batch=359, step=21960, lr=0.108750, batch loss=0.011844, epoch loss=0.044318
Batch=419, step=22020, lr=0.108500, batch loss=0.011733, epoch loss=0.056051
Batch=479, step=22080, lr=0.108250, batch loss=0.002740, epoch loss=0.058791
Batch=539, step=22140, lr=0.108000, batch loss=0.018016, epoch loss=0.076807
Batch=599, step=22200, lr=0.107750, batch loss=0.016932, epoch loss=0.093738
Batch=659, step=22260, lr=0.107500, batch loss=0.015985, epoch loss=0.109723
Batch=719, step=22320, lr=0.107250, batch loss=0.020927, epoch loss=0.130650
Batch=779, step=22380, lr=0.107000, batch loss=0.028520, epoch loss=0.159170
Batch=839, step=22440, lr=0.106750, batch loss=0.028561, epoch loss=0.187731
Batch=899, step=22500, lr=0.106500, batch loss=0.023991, epoch loss=0.211722
Batch=959, step=22560, lr=0.106250, batch loss=0.008820, epoch loss=0.220542
Batch=1019, step=22620, lr=0.106000, batch loss=0.007888, epoch loss=0.228429
Batch=1079, step=22680, lr=0.105750, batch loss=0.002083, epoch loss=0.230512
Batch=1139, step=22740, lr=0.105500, batch loss=0.010473, epoch loss=0.240985
Batch=1199, step=22800, lr=0.105250, batch loss=0.005057, epoch loss=0.246041
Epoch=18, step=22800, lr=0.105250, epoch loss=0.246041
Batch=59, step=22860, lr=0.105000, batch loss=0.002463, epoch loss=0.002463
Batch=119, step=22920, lr=0.104750, batch loss=0.004793, epoch loss=0.007256
Batch=179, step=22980, lr=0.104500, batch loss=0.012471, epoch loss=0.019727
Batch=239, step=23040, lr=0.104250, batch loss=0.008279, epoch loss=0.028006
Batch=299, step=23100, lr=0.104000, batch loss=0.009159, epoch loss=0.037165
Batch=359, step=23160, lr=0.103750, batch loss=0.011894, epoch loss=0.049059
Batch=419, step=23220, lr=0.103500, batch loss=0.010453, epoch loss=0.059513
Batch=479, step=23280, lr=0.103250, batch loss=0.003843, epoch loss=0.063355
Batch=539, step=23340, lr=0.103000, batch loss=0.015646, epoch loss=0.079001
Batch=599, step=23400, lr=0.102750, batch loss=0.013525, epoch loss=0.092526
Batch=659, step=23460, lr=0.102500, batch loss=0.010905, epoch loss=0.103431
Batch=719, step=23520, lr=0.102250, batch loss=0.011915, epoch loss=0.115346
Batch=779, step=23580, lr=0.102000, batch loss=0.023850, epoch loss=0.139195
Batch=839, step=23640, lr=0.101750, batch loss=0.025464, epoch loss=0.164659
Batch=899, step=23700, lr=0.101500, batch loss=0.022233, epoch loss=0.186892
Batch=959, step=23760, lr=0.101250, batch loss=0.008358, epoch loss=0.195250
Batch=1019, step=23820, lr=0.101000, batch loss=0.008332, epoch loss=0.203583
Batch=1079, step=23880, lr=0.100750, batch loss=0.000540, epoch loss=0.204123
Batch=1139, step=23940, lr=0.100500, batch loss=0.009149, epoch loss=0.213272
Batch=1199, step=24000, lr=0.100250, batch loss=0.004187, epoch loss=0.217460
Epoch=19, step=24000, lr=0.100250, epoch loss=0.217460


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-04-10 12:28.30 ---> saved as "6792f6a2b3d0a10045cce3c2e783b90ec380702272735a94e5e72dc87ae48dec"
Job succeeded
2025-04-10 12:28.37: Job succeeded