debian-12-5.3_ppc64_opam-2.3

2025-05-09 15:39.37: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (e3497ade7ab3c160dfa7da252b570cf008023498) (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 e3497ade
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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-05-09 15:39.37: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:b9ad47cc37e058f3242d0343c3d6aab281880610738467625c84e9f51776617e-debian-12-5.3_ppc64_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-09 15:39.37: 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-05-09 15:39.37: Waiting for resource in pool OCluster
2025-05-09 15:39.38: Waiting for worker…
2025-05-09 15:39.38: Got resource from pool OCluster
Building on orithia.caelum.ci.dev
HEAD is now at 86bf625e cuda_backend.ml tiny refactoring fixes
HEAD is now at e3497ade gcc_backend.ml: tiny fixes to recent refactorings


(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
2025-05-09 15:39.38 ---> 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"))
2025-05-09 15:39.38 ---> 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
2025-05-09 15:39.38 ---> using "3356b2ee63007def5ceadc9915328f1eea8f5bf3d1e4e2f434bb4052fe0919a6" from cache


/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
2025-05-09 15:39.38 ---> using "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-09 15:39.38 ---> using "8b1bba9974efdc8414b2b8b2a4fed5020d231764a7da89b3dfbeaf9ab99cfe97" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
da74d7829f..e28c86445c  master     -> origin/master
997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-05-09 15:39.38 ---> using "fc413ac52c2d5a89de1d48cc1a1256d0fbe953cd12f95f094c860c7a8f51d79a" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-09 15:39.38 ---> using "edabc3aebfd87acaf4fad3eebe33e30cdaeb435901f4608ea303bf5b4a9a7634" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-09 15:39.38 ---> using "26beb80314b675d138bba30192f965393c8083f9cbd832ccf014196879db9bc5" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-09 15:39.38 ---> using "fa1f1f82c4ecfb8045e0e3c953a8d541f30b1b4e1ecbf1f5afe4a90c2fd4d4ef" from cache


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bookworm InRelease
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [247 kB]
- Fetched 350 kB in 1s (435 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%
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(Reading database ... 25%
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(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18720 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ...
- Unpacking libffi-dev:ppc64el (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:ppc64el.
- Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ...
- Unpacking libpkgconf3:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:ppc64el.
- Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkg-config:ppc64el.
- Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ...
- Unpacking pkg-config:ppc64el (1.8.1-1) ...
- Setting up libffi-dev:ppc64el (3.4.4-1) ...
- Setting up libpkgconf3:ppc64el (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:ppc64el (1.8.1-1) ...
- Setting up pkg-config:ppc64el (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-05-09 15:39.38 ---> using "f551a02d497253f367f80c69ee589090f98b5d9d3d884b8dbad4ca802e6d574e" from cache


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> 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 integers.0.7.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> installed cmdliner.1.3.0
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved 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 uutf.1.0.4
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed bigstringaf.0.10.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.2
-> installed variantslib.v0.17.0
-> installed fieldslib.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 uucp.16.0.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed printbox-text.0.12
-> installed ppx_fields_conv.v0.17.0
-> installed printbox-md.0.12
-> installed ppx_enumerate.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppx_globalize.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 ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-09 15:39.38 ---> using "c151cf1c8cbcb6155f815e7c147004f9685dff84d11ab660ff56be22c684af09" from cache


/src: (copy (src .) (dst /src))
2025-05-09 15:39.43 ---> saved as "61bc2e2e698cf8046aadf06a1835a9e92f2baa016d211349e9b5820022fb7678"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/58b4e46b3df4a58eea44858ae7452854/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61471110065a7f521ff95687d37e25ae/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/61471110065a7f521ff95687d37e25ae/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=0.199250, batch loss=2.626295, epoch loss=34.775381
Batch=239, step=240, lr=0.199000, batch loss=0.851101, epoch loss=35.626482
Batch=299, step=300, lr=0.198750, batch loss=1.443804, epoch loss=37.070286
Batch=359, step=360, lr=0.198750, batch loss=1.330477, epoch loss=38.400763
Batch=419, step=420, lr=0.198500, batch loss=0.618520, epoch loss=39.019283
Batch=479, step=480, lr=0.198250, batch loss=0.823216, epoch loss=39.842499
Batch=539, step=540, lr=0.198000, batch loss=0.689420, epoch loss=40.531920
Batch=599, step=600, lr=0.197750, batch loss=1.066005, epoch loss=41.597925
Batch=659, step=660, lr=0.197500, batch loss=0.483135, epoch loss=42.081060
Batch=719, step=720, lr=0.197250, batch loss=0.411362, epoch loss=42.492422
Batch=779, step=780, lr=0.196750, batch loss=0.468877, epoch loss=42.961299
Batch=839, step=840, lr=0.196750, batch loss=0.443305, epoch loss=43.404603
Batch=899, step=900, lr=0.196500, batch loss=0.383744, epoch loss=43.788348
Batch=959, step=960, lr=0.196250, batch loss=0.237297, epoch loss=44.025645
Batch=1019, step=1020, lr=0.195750, batch loss=0.440452, epoch loss=44.466097
Batch=1079, step=1080, lr=0.195500, batch loss=0.229199, epoch loss=44.695296
Batch=1139, step=1140, lr=0.195250, batch loss=0.315278, epoch loss=45.010574
Batch=1199, step=1200, lr=0.195000, batch loss=0.263256, epoch loss=45.273830
Epoch=0, step=1200, lr=0.195000, epoch loss=45.273830
Batch=59, step=1260, lr=0.194750, batch loss=0.262420, epoch loss=0.262420
Batch=119, step=1320, lr=0.194500, batch loss=0.205491, epoch loss=0.467911
Batch=179, step=1380, lr=0.194250, batch loss=0.243137, epoch loss=0.711048
Batch=239, step=1440, lr=0.194000, batch loss=0.345580, epoch loss=1.056628
Batch=299, step=1500, lr=0.193750, batch loss=0.240534, epoch loss=1.297162
Batch=359, step=1560, lr=0.193500, batch loss=0.312386, epoch loss=1.609548
Batch=419, step=1620, lr=0.193250, batch loss=0.309415, epoch loss=1.918962
Batch=479, step=1680, lr=0.193000, batch loss=0.275982, epoch loss=2.194944
Batch=539, step=1740, lr=0.192750, batch loss=0.212090, epoch loss=2.407034
Batch=599, step=1800, lr=0.192750, batch loss=0.250805, epoch loss=2.657840
Batch=659, step=1860, lr=0.192500, batch loss=0.369426, epoch loss=3.027266
Batch=719, step=1920, lr=0.192250, batch loss=0.362283, epoch loss=3.389548
Batch=779, step=1980, lr=0.192000, batch loss=0.380766, epoch loss=3.770314
Batch=839, step=2040, lr=0.191500, batch loss=0.343489, epoch loss=4.113804
Batch=899, step=2100, lr=0.191500, batch loss=0.319289, epoch loss=4.433092
Batch=959, step=2160, lr=0.191000, batch loss=0.262936, epoch loss=4.696028
Batch=1019, step=2220, lr=0.190750, batch loss=0.422741, epoch loss=5.118769
Batch=1079, step=2280, lr=0.190500, batch loss=0.238842, epoch loss=5.357610
Batch=1139, step=2340, lr=0.190250, batch loss=0.276102, epoch loss=5.633713
Batch=1199, step=2400, lr=0.190000, batch loss=0.212667, epoch loss=5.846380
Epoch=1, step=2400, lr=0.190000, epoch loss=5.846380
Batch=59, step=2460, lr=0.190000, batch loss=0.234617, epoch loss=0.234617
Batch=119, step=2520, lr=0.189750, batch loss=0.195276, epoch loss=0.429893
Batch=179, step=2580, lr=0.189500, batch loss=0.222156, epoch loss=0.652049
Batch=239, step=2640, lr=0.189000, batch loss=0.329325, epoch loss=0.981374
Batch=299, step=2700, lr=0.188750, batch loss=0.203641, epoch loss=1.185015
Batch=359, step=2760, lr=0.188500, batch loss=0.288697, epoch loss=1.473712
Batch=419, step=2820, lr=0.188250, batch loss=0.280912, epoch loss=1.754623
Batch=479, step=2880, lr=0.188250, batch loss=0.252653, epoch loss=2.007277
Batch=539, step=2940, lr=0.188000, batch loss=0.192392, epoch loss=2.199669
Batch=599, step=3000, lr=0.187500, batch loss=0.225489, epoch loss=2.425158
Batch=659, step=3060, lr=0.187500, batch loss=0.332530, epoch loss=2.757688
Batch=719, step=3120, lr=0.187000, batch loss=0.335894, epoch loss=3.093582
Batch=779, step=3180, lr=0.187000, batch loss=0.354494, epoch loss=3.448076
Batch=839, step=3240, lr=0.186500, batch loss=0.330804, epoch loss=3.778880
Batch=899, step=3300, lr=0.186250, batch loss=0.297405, epoch loss=4.076285
Batch=959, step=3360, lr=0.186000, batch loss=0.236604, epoch loss=4.312889
Batch=1019, step=3420, lr=0.185750, batch loss=0.349064, epoch loss=4.661953
Batch=1079, step=3480, lr=0.185750, batch loss=0.213177, epoch loss=4.875130
Batch=1139, step=3540, lr=0.185500, batch loss=0.261596, epoch loss=5.136726
Batch=1199, step=3600, lr=0.185000, batch loss=0.200183, epoch loss=5.336909
Epoch=2, step=3600, lr=0.185000, epoch loss=5.336909
Batch=59, step=3660, lr=0.185000, batch loss=0.222522, epoch loss=0.222522
Batch=119, step=3720, lr=0.184500, batch loss=0.184426, epoch loss=0.406948
Batch=179, step=3780, lr=0.184500, batch loss=0.211922, epoch loss=0.618870
Batch=239, step=3840, lr=0.184250, batch loss=0.318086, epoch loss=0.936956
Batch=299, step=3900, lr=0.184000, batch loss=0.208766, epoch loss=1.145722
Batch=359, step=3960, lr=0.183750, batch loss=0.286438, epoch loss=1.432160
Batch=419, step=4020, lr=0.183250, batch loss=0.274139, epoch loss=1.706300
Batch=479, step=4080, lr=0.183250, batch loss=0.253806, epoch loss=1.960105
Batch=539, step=4140, lr=0.182750, batch loss=0.195050, epoch loss=2.155155
Batch=599, step=4200, lr=0.182750, batch loss=0.232986, epoch loss=2.388142
Batch=659, step=4260, lr=0.182250, batch loss=0.334572, epoch loss=2.722714
Batch=719, step=4320, lr=0.182000, batch loss=0.342330, epoch loss=3.065044
Batch=779, step=4380, lr=0.181750, batch loss=0.350030, epoch loss=3.415074
Batch=839, step=4440, lr=0.181500, batch loss=0.317135, epoch loss=3.732209
Batch=899, step=4500, lr=0.181500, batch loss=0.285951, epoch loss=4.018161
Batch=959, step=4560, lr=0.181000, batch loss=0.237534, epoch loss=4.255695
Batch=1019, step=4620, lr=0.180750, batch loss=0.329509, epoch loss=4.585203
Batch=1079, step=4680, lr=0.180750, batch loss=0.195398, epoch loss=4.780602
Batch=1139, step=4740, lr=0.180500, batch loss=0.228183, epoch loss=5.008785
Batch=1199, step=4800, lr=0.180000, batch loss=0.193580, epoch loss=5.202365
Epoch=3, step=4800, lr=0.180000, epoch loss=5.202365
Batch=59, step=4860, lr=0.180000, batch loss=0.235182, epoch loss=0.235182
Batch=119, step=4920, lr=0.179750, batch loss=0.192889, epoch loss=0.428071
Batch=179, step=4980, lr=0.179250, batch loss=0.206400, epoch loss=0.634472
Batch=239, step=5040, lr=0.179000, batch loss=0.308296, epoch loss=0.942768
Batch=299, step=5100, lr=0.178750, batch loss=0.207738, epoch loss=1.150506
Batch=359, step=5160, lr=0.178750, batch loss=0.274696, epoch loss=1.425202
Batch=419, step=5220, lr=0.178250, batch loss=0.266358, epoch loss=1.691560
Batch=479, step=5280, lr=0.178250, batch loss=0.241863, epoch loss=1.933423
Batch=539, step=5340, lr=0.177750, batch loss=0.195350, epoch loss=2.128773
Batch=599, step=5400, lr=0.177500, batch loss=0.236056, epoch loss=2.364829
Batch=659, step=5460, lr=0.177500, batch loss=0.321504, epoch loss=2.686333
Batch=719, step=5520, lr=0.177250, batch loss=0.323163, epoch loss=3.009496
Batch=779, step=5580, lr=0.176750, batch loss=0.340636, epoch loss=3.350132
Batch=839, step=5640, lr=0.176750, batch loss=0.311597, epoch loss=3.661729
Batch=899, step=5700, lr=0.176250, batch loss=0.272786, epoch loss=3.934515
Batch=959, step=5760, lr=0.176000, batch loss=0.216703, epoch loss=4.151219
Batch=1019, step=5820, lr=0.175750, batch loss=0.332947, epoch loss=4.484166
Batch=1079, step=5880, lr=0.175500, batch loss=0.189812, epoch loss=4.673977
Batch=1139, step=5940, lr=0.175500, batch loss=0.220561, epoch loss=4.894538
Batch=1199, step=6000, lr=0.175250, batch loss=0.187048, epoch loss=5.081586
Epoch=4, step=6000, lr=0.175250, epoch loss=5.081586
Batch=59, step=6060, lr=0.174750, batch loss=0.223917, epoch loss=0.223917
Batch=119, step=6120, lr=0.174500, batch loss=0.185113, epoch loss=0.409030
Batch=179, step=6180, lr=0.174500, batch loss=0.201195, epoch loss=0.610226
Batch=239, step=6240, lr=0.174250, batch loss=0.299377, epoch loss=0.909603
Batch=299, step=6300, lr=0.174000, batch loss=0.204341, epoch loss=1.113944
Batch=359, step=6360, lr=0.173750, batch loss=0.262940, epoch loss=1.376884
Batch=419, step=6420, lr=0.173500, batch loss=0.258677, epoch loss=1.635561
Batch=479, step=6480, lr=0.173250, batch loss=0.234642, epoch loss=1.870203
Batch=539, step=6540, lr=0.173000, batch loss=0.186054, epoch loss=2.056257
Batch=599, step=6600, lr=0.172500, batch loss=0.230677, epoch loss=2.286934
Batch=659, step=6660, lr=0.172250, batch loss=0.314384, epoch loss=2.601318
Batch=719, step=6720, lr=0.172250, batch loss=0.314890, epoch loss=2.916208
Batch=779, step=6780, lr=0.172000, batch loss=0.330520, epoch loss=3.246728
Batch=839, step=6840, lr=0.171750, batch loss=0.304835, epoch loss=3.551563
Batch=899, step=6900, lr=0.171500, batch loss=0.265531, epoch loss=3.817095
Batch=959, step=6960, lr=0.171250, batch loss=0.211712, epoch loss=4.028807
Batch=1019, step=7020, lr=0.171000, batch loss=0.323888, epoch loss=4.352695
Batch=1079, step=7080, lr=0.170500, batch loss=0.178384, epoch loss=4.531079
Batch=1139, step=7140, lr=0.170500, batch loss=0.214975, epoch loss=4.746054
Batch=1199, step=7200, lr=0.170000, batch loss=0.181418, epoch loss=4.927472
Epoch=5, step=7200, lr=0.170000, epoch loss=4.927472
Batch=59, step=7260, lr=0.170000, batch loss=0.224574, epoch loss=0.224574
Batch=119, step=7320, lr=0.169750, batch loss=0.190491, epoch loss=0.415065
Batch=179, step=7380, lr=0.169500, batch loss=0.194463, epoch loss=0.609528
Batch=239, step=7440, lr=0.169000, batch loss=0.292116, epoch loss=0.901644
Batch=299, step=7500, lr=0.169000, batch loss=0.206003, epoch loss=1.107647
Batch=359, step=7560, lr=0.168750, batch loss=0.262740, epoch loss=1.370387
Batch=419, step=7620, lr=0.168500, batch loss=0.253845, epoch loss=1.624232
Batch=479, step=7680, lr=0.168250, batch loss=0.238480, epoch loss=1.862712
Batch=539, step=7740, lr=0.168000, batch loss=0.184811, epoch loss=2.047523
Batch=599, step=7800, lr=0.167500, batch loss=0.227863, epoch loss=2.275386
Batch=659, step=7860, lr=0.167250, batch loss=0.303977, epoch loss=2.579363
Batch=719, step=7920, lr=0.167250, batch loss=0.310453, epoch loss=2.889817
Batch=779, step=7980, lr=0.167000, batch loss=0.329049, epoch loss=3.218865
Batch=839, step=8040, lr=0.166500, batch loss=0.293512, epoch loss=3.512377
Batch=899, step=8100, lr=0.166500, batch loss=0.262482, epoch loss=3.774859
Batch=959, step=8160, lr=0.166250, batch loss=0.202083, epoch loss=3.976941
Batch=1019, step=8220, lr=0.166000, batch loss=0.325764, epoch loss=4.302706
Batch=1079, step=8280, lr=0.165750, batch loss=0.201350, epoch loss=4.504056
Batch=1139, step=8340, lr=0.165500, batch loss=0.224861, epoch loss=4.728916
Batch=1199, step=8400, lr=0.165000, batch loss=0.175525, epoch loss=4.904442
Epoch=6, step=8400, lr=0.165000, epoch loss=4.904442
Batch=59, step=8460, lr=0.164750, batch loss=0.216499, epoch loss=0.216499
Batch=119, step=8520, lr=0.164500, batch loss=0.182335, epoch loss=0.398834
Batch=179, step=8580, lr=0.164250, batch loss=0.188662, epoch loss=0.587496
Batch=239, step=8640, lr=0.164000, batch loss=0.278180, epoch loss=0.865675
Batch=299, step=8700, lr=0.163750, batch loss=0.194504, epoch loss=1.060179
Batch=359, step=8760, lr=0.163750, batch loss=0.248758, epoch loss=1.308937
Batch=419, step=8820, lr=0.163250, batch loss=0.244947, epoch loss=1.553884
Batch=479, step=8880, lr=0.163250, batch loss=0.229621, epoch loss=1.783505
Batch=539, step=8940, lr=0.163000, batch loss=0.178123, epoch loss=1.961629
Batch=599, step=9000, lr=0.162750, batch loss=0.218657, epoch loss=2.180286
Batch=659, step=9060, lr=0.162500, batch loss=0.294105, epoch loss=2.474391
Batch=719, step=9120, lr=0.162250, batch loss=0.296698, epoch loss=2.771089
Batch=779, step=9180, lr=0.162000, batch loss=0.314414, epoch loss=3.085502
Batch=839, step=9240, lr=0.161750, batch loss=0.282824, epoch loss=3.368326
Batch=899, step=9300, lr=0.161500, batch loss=0.253144, epoch loss=3.621470
Batch=959, step=9360, lr=0.161000, batch loss=0.187842, epoch loss=3.809311
Batch=1019, step=9420, lr=0.161000, batch loss=0.319054, epoch loss=4.128365
Batch=1079, step=9480, lr=0.160750, batch loss=0.195989, epoch loss=4.324354
Batch=1139, step=9540, lr=0.160500, batch loss=0.208410, epoch loss=4.532765
Batch=1199, step=9600, lr=0.160250, batch loss=0.168483, epoch loss=4.701248
Epoch=7, step=9600, lr=0.160250, epoch loss=4.701248
Batch=59, step=9660, lr=0.160000, batch loss=0.203383, epoch loss=0.203383
Batch=119, step=9720, lr=0.159750, batch loss=0.169672, epoch loss=0.373055
Batch=179, step=9780, lr=0.159500, batch loss=0.180392, epoch loss=0.553447
Batch=239, step=9840, lr=0.159250, batch loss=0.264281, epoch loss=0.817728
Batch=299, step=9900, lr=0.158750, batch loss=0.183211, epoch loss=1.000939
Batch=359, step=9960, lr=0.158750, batch loss=0.241429, epoch loss=1.242368
Batch=419, step=10020, lr=0.158500, batch loss=0.233340, epoch loss=1.475708
Batch=479, step=10080, lr=0.158250, batch loss=0.215222, epoch loss=1.690930
Batch=539, step=10140, lr=0.158000, batch loss=0.170947, epoch loss=1.861878
Batch=599, step=10200, lr=0.157500, batch loss=0.203290, epoch loss=2.065167
Batch=659, step=10260, lr=0.157500, batch loss=0.282571, epoch loss=2.347739
Batch=719, step=10320, lr=0.157000, batch loss=0.282543, epoch loss=2.630281
Batch=779, step=10380, lr=0.157000, batch loss=0.301511, epoch loss=2.931792
Batch=839, step=10440, lr=0.156750, batch loss=0.272774, epoch loss=3.204566
Batch=899, step=10500, lr=0.156500, batch loss=0.241607, epoch loss=3.446174
Batch=959, step=10560, lr=0.156250, batch loss=0.199483, epoch loss=3.645657
Batch=1019, step=10620, lr=0.156000, batch loss=0.279835, epoch loss=3.925492
Batch=1079, step=10680, lr=0.155500, batch loss=0.152458, epoch loss=4.077950
Batch=1139, step=10740, lr=0.155250, batch loss=0.184076, epoch loss=4.262027
Batch=1199, step=10800, lr=0.155250, batch loss=0.162515, epoch loss=4.424542
Epoch=8, step=10800, lr=0.155250, epoch loss=4.424542
Batch=59, step=10860, lr=0.155000, batch loss=0.198623, epoch loss=0.198623
Batch=119, step=10920, lr=0.154750, batch loss=0.160561, epoch loss=0.359184
Batch=179, step=10980, lr=0.154250, batch loss=0.167551, epoch loss=0.526735
Batch=239, step=11040, lr=0.154250, batch loss=0.246301, epoch loss=0.773036
Batch=299, step=11100, lr=0.154000, batch loss=0.166731, epoch loss=0.939767
Batch=359, step=11160, lr=0.153500, batch loss=0.225878, epoch loss=1.165646
Batch=419, step=11220, lr=0.153250, batch loss=0.226522, epoch loss=1.392167
Batch=479, step=11280, lr=0.153250, batch loss=0.207801, epoch loss=1.599968
Batch=539, step=11340, lr=0.153000, batch loss=0.158436, epoch loss=1.758404
Batch=599, step=11400, lr=0.152500, batch loss=0.184955, epoch loss=1.943360
Batch=659, step=11460, lr=0.152250, batch loss=0.262935, epoch loss=2.206295
Batch=719, step=11520, lr=0.152000, batch loss=0.262618, epoch loss=2.468912
Batch=779, step=11580, lr=0.151750, batch loss=0.271605, epoch loss=2.740517
Batch=839, step=11640, lr=0.151500, batch loss=0.252935, epoch loss=2.993452
Batch=899, step=11700, lr=0.151250, batch loss=0.219381, epoch loss=3.212832
Batch=959, step=11760, lr=0.151250, batch loss=0.163802, epoch loss=3.376635
Batch=1019, step=11820, lr=0.150750, batch loss=0.276427, epoch loss=3.653061
Batch=1079, step=11880, lr=0.150750, batch loss=0.151058, epoch loss=3.804119
Batch=1139, step=11940, lr=0.150250, batch loss=0.181413, epoch loss=3.985532
Batch=1199, step=12000, lr=0.150000, batch loss=0.142051, epoch loss=4.127583
Epoch=9, step=12000, lr=0.150000, epoch loss=4.127583
Batch=59, step=12060, lr=0.150000, batch loss=0.162971, epoch loss=0.162971
Batch=119, step=12120, lr=0.149500, batch loss=0.139467, epoch loss=0.302439
Batch=179, step=12180, lr=0.149250, batch loss=0.152959, epoch loss=0.455398
Batch=239, step=12240, lr=0.149250, batch loss=0.222550, epoch loss=0.677947
Batch=299, step=12300, lr=0.149000, batch loss=0.144969, epoch loss=0.822916
Batch=359, step=12360, lr=0.148500, batch loss=0.198673, epoch loss=1.021589
Batch=419, step=12420, lr=0.148250, batch loss=0.210211, epoch loss=1.231800
Batch=479, step=12480, lr=0.148250, batch loss=0.181616, epoch loss=1.413416
Batch=539, step=12540, lr=0.148000, batch loss=0.145956, epoch loss=1.559372
Batch=599, step=12600, lr=0.147500, batch loss=0.152347, epoch loss=1.711718
Batch=659, step=12660, lr=0.147250, batch loss=0.230041, epoch loss=1.941759
Batch=719, step=12720, lr=0.147250, batch loss=0.238015, epoch loss=2.179774
Batch=779, step=12780, lr=0.147000, batch loss=0.260467, epoch loss=2.440241
Batch=839, step=12840, lr=0.146750, batch loss=0.227855, epoch loss=2.668097
Batch=899, step=12900, lr=0.146250, batch loss=0.192337, epoch loss=2.860434
Batch=959, step=12960, lr=0.146250, batch loss=0.162485, epoch loss=3.022919
Batch=1019, step=13020, lr=0.145750, batch loss=0.260094, epoch loss=3.283014
Batch=1079, step=13080, lr=0.145750, batch loss=0.123070, epoch loss=3.406084
Batch=1139, step=13140, lr=0.145250, batch loss=0.160831, epoch loss=3.566915
Batch=1199, step=13200, lr=0.145000, batch loss=0.121869, epoch loss=3.688784
Epoch=10, step=13200, lr=0.145000, epoch loss=3.688784
Batch=59, step=13260, lr=0.145000, batch loss=0.147619, epoch loss=0.147619
Batch=119, step=13320, lr=0.144500, batch loss=0.122849, epoch loss=0.270468
Batch=179, step=13380, lr=0.144250, batch loss=0.130261, epoch loss=0.400729
Batch=239, step=13440, lr=0.144000, batch loss=0.191857, epoch loss=0.592586
Batch=299, step=13500, lr=0.144000, batch loss=0.117193, epoch loss=0.709778
Batch=359, step=13560, lr=0.143500, batch loss=0.166102, epoch loss=0.875881
Batch=419, step=13620, lr=0.143250, batch loss=0.171225, epoch loss=1.047106
Batch=479, step=13680, lr=0.143000, batch loss=0.154813, epoch loss=1.201919
Batch=539, step=13740, lr=0.142750, batch loss=0.120894, epoch loss=1.322813
Batch=599, step=13800, lr=0.142500, batch loss=0.125265, epoch loss=1.448077
Batch=659, step=13860, lr=0.142250, batch loss=0.186463, epoch loss=1.634541
Batch=719, step=13920, lr=0.142250, batch loss=0.200433, epoch loss=1.834974
Batch=779, step=13980, lr=0.142000, batch loss=0.228500, epoch loss=2.063474
Batch=839, step=14040, lr=0.141500, batch loss=0.203940, epoch loss=2.267414
Batch=899, step=14100, lr=0.141500, batch loss=0.212223, epoch loss=2.479637
Batch=959, step=14160, lr=0.141000, batch loss=0.111658, epoch loss=2.591296
Batch=1019, step=14220, lr=0.140750, batch loss=0.196929, epoch loss=2.788225
Batch=1079, step=14280, lr=0.140750, batch loss=0.080326, epoch loss=2.868551
Batch=1139, step=14340, lr=0.140250, batch loss=0.126595, epoch loss=2.995146
Batch=1199, step=14400, lr=0.140000, batch loss=0.090945, epoch loss=3.086091
Epoch=11, step=14400, lr=0.140000, epoch loss=3.086091
Batch=59, step=14460, lr=0.139750, batch loss=0.116476, epoch loss=0.116476
Batch=119, step=14520, lr=0.139750, batch loss=0.113857, epoch loss=0.230333
Batch=179, step=14580, lr=0.139250, batch loss=0.107075, epoch loss=0.337409
Batch=239, step=14640, lr=0.139000, batch loss=0.147285, epoch loss=0.484693
Batch=299, step=14700, lr=0.138750, batch loss=0.085827, epoch loss=0.570521
Batch=359, step=14760, lr=0.138500, batch loss=0.127045, epoch loss=0.697566
Batch=419, step=14820, lr=0.138250, batch loss=0.129857, epoch loss=0.827423
Batch=479, step=14880, lr=0.138250, batch loss=0.110869, epoch loss=0.938292
Batch=539, step=14940, lr=0.138000, batch loss=0.102033, epoch loss=1.040325
Batch=599, step=15000, lr=0.137750, batch loss=0.090229, epoch loss=1.130554
Batch=659, step=15060, lr=0.137250, batch loss=0.142955, epoch loss=1.273508
Batch=719, step=15120, lr=0.137000, batch loss=0.176043, epoch loss=1.449552
Batch=779, step=15180, lr=0.136750, batch loss=0.302158, epoch loss=1.751709
Batch=839, step=15240, lr=0.136500, batch loss=0.140781, epoch loss=1.892491
Batch=899, step=15300, lr=0.136250, batch loss=0.135243, epoch loss=2.027733
Batch=959, step=15360, lr=0.136000, batch loss=0.097659, epoch loss=2.125392
Batch=1019, step=15420, lr=0.135750, batch loss=0.169088, epoch loss=2.294480
Batch=1079, step=15480, lr=0.135500, batch loss=0.044547, epoch loss=2.339027
Batch=1139, step=15540, lr=0.135250, batch loss=0.096323, epoch loss=2.435350
Batch=1199, step=15600, lr=0.135000, batch loss=0.063461, epoch loss=2.498811
Epoch=12, step=15600, lr=0.135000, epoch loss=2.498811
Batch=59, step=15660, lr=0.134750, batch loss=0.093766, epoch loss=0.093766
Batch=119, step=15720, lr=0.134500, batch loss=0.143396, epoch loss=0.237161
Batch=179, step=15780, lr=0.134500, batch loss=0.104335, epoch loss=0.341497
Batch=239, step=15840, lr=0.134000, batch loss=0.106341, epoch loss=0.447838
Batch=299, step=15900, lr=0.133750, batch loss=0.047585, epoch loss=0.495423
Batch=359, step=15960, lr=0.133750, batch loss=0.089121, epoch loss=0.584544
Batch=419, step=16020, lr=0.133250, batch loss=0.085631, epoch loss=0.670175
Batch=479, step=16080, lr=0.133000, batch loss=0.068740, epoch loss=0.738915
Batch=539, step=16140, lr=0.133000, batch loss=0.058013, epoch loss=0.796928
Batch=599, step=16200, lr=0.132500, batch loss=0.113610, epoch loss=0.910539
Batch=659, step=16260, lr=0.132250, batch loss=0.085995, epoch loss=0.996534
Batch=719, step=16320, lr=0.132250, batch loss=0.096923, epoch loss=1.093457
Batch=779, step=16380, lr=0.131750, batch loss=0.150321, epoch loss=1.243778
Batch=839, step=16440, lr=0.131500, batch loss=0.109856, epoch loss=1.353634
Batch=899, step=16500, lr=0.131250, batch loss=0.129537, epoch loss=1.483170
Batch=959, step=16560, lr=0.131250, batch loss=0.045123, epoch loss=1.528294
Batch=1019, step=16620, lr=0.130750, batch loss=0.108149, epoch loss=1.636443
Batch=1079, step=16680, lr=0.130750, batch loss=0.027294, epoch loss=1.663737
Batch=1139, step=16740, lr=0.130250, batch loss=0.058597, epoch loss=1.722334
Batch=1199, step=16800, lr=0.130000, batch loss=0.030452, epoch loss=1.752786
Epoch=13, step=16800, lr=0.130000, epoch loss=1.752786
Batch=59, step=16860, lr=0.129750, batch loss=0.042038, epoch loss=0.042038
Batch=119, step=16920, lr=0.129750, batch loss=0.071241, epoch loss=0.113279
Batch=179, step=16980, lr=0.129250, batch loss=0.057263, epoch loss=0.170541
Batch=239, step=17040, lr=0.129250, batch loss=0.064904, epoch loss=0.235445
Batch=299, step=17100, lr=0.128750, batch loss=0.030393, epoch loss=0.265839
Batch=359, step=17160, lr=0.128500, batch loss=0.051069, epoch loss=0.316908
Batch=419, step=17220, lr=0.128250, batch loss=0.056225, epoch loss=0.373133
Batch=479, step=17280, lr=0.128000, batch loss=0.035768, epoch loss=0.408901
Batch=539, step=17340, lr=0.127750, batch loss=0.066008, epoch loss=0.474909
Batch=599, step=17400, lr=0.127500, batch loss=0.038914, epoch loss=0.513824
Batch=659, step=17460, lr=0.127500, batch loss=0.053696, epoch loss=0.567520
Batch=719, step=17520, lr=0.127250, batch loss=0.062129, epoch loss=0.629648
Batch=779, step=17580, lr=0.126750, batch loss=0.130401, epoch loss=0.760049
Batch=839, step=17640, lr=0.126500, batch loss=0.094852, epoch loss=0.854901
Batch=899, step=17700, lr=0.126500, batch loss=0.117707, epoch loss=0.972608
Batch=959, step=17760, lr=0.126000, batch loss=0.025448, epoch loss=0.998056
Batch=1019, step=17820, lr=0.126000, batch loss=0.045202, epoch loss=1.043258
Batch=1079, step=17880, lr=0.125500, batch loss=0.019038, epoch loss=1.062296
Batch=1139, step=17940, lr=0.125250, batch loss=0.047320, epoch loss=1.109616
Batch=1199, step=18000, lr=0.125000, batch loss=0.020583, epoch loss=1.130199
Epoch=14, step=18000, lr=0.125000, epoch loss=1.130199
Batch=59, step=18060, lr=0.125000, batch loss=0.014770, epoch loss=0.014770
Batch=119, step=18120, lr=0.124750, batch loss=0.021304, epoch loss=0.036074
Batch=179, step=18180, lr=0.124500, batch loss=0.031168, epoch loss=0.067242
Batch=239, step=18240, lr=0.124000, batch loss=0.036584, epoch loss=0.103826
Batch=299, step=18300, lr=0.124000, batch loss=0.010442, epoch loss=0.114268
Batch=359, step=18360, lr=0.123500, batch loss=0.027006, epoch loss=0.141274
Batch=419, step=18420, lr=0.123500, batch loss=0.032592, epoch loss=0.173866
Batch=479, step=18480, lr=0.123250, batch loss=0.018205, epoch loss=0.192071
Batch=539, step=18540, lr=0.123000, batch loss=0.023621, epoch loss=0.215692
Batch=599, step=18600, lr=0.122750, batch loss=0.027439, epoch loss=0.243131
Batch=659, step=18660, lr=0.122250, batch loss=0.029883, epoch loss=0.273015
Batch=719, step=18720, lr=0.122250, batch loss=0.044700, epoch loss=0.317715
Batch=779, step=18780, lr=0.122000, batch loss=0.107828, epoch loss=0.425543
Batch=839, step=18840, lr=0.121500, batch loss=0.071065, epoch loss=0.496608
Batch=899, step=18900, lr=0.121250, batch loss=0.104334, epoch loss=0.600942
Batch=959, step=18960, lr=0.121250, batch loss=0.015400, epoch loss=0.616342
Batch=1019, step=19020, lr=0.121000, batch loss=0.020275, epoch loss=0.636617
Batch=1079, step=19080, lr=0.120500, batch loss=0.006253, epoch loss=0.642870
Batch=1139, step=19140, lr=0.120500, batch loss=0.026050, epoch loss=0.668920
Batch=1199, step=19200, lr=0.120250, batch loss=0.011161, epoch loss=0.680081
Epoch=15, step=19200, lr=0.120250, epoch loss=0.680081
Batch=59, step=19260, lr=0.120000, batch loss=0.005883, epoch loss=0.005883
Batch=119, step=19320, lr=0.119750, batch loss=0.021178, epoch loss=0.027061
Batch=179, step=19380, lr=0.119250, batch loss=0.054664, epoch loss=0.081725
Batch=239, step=19440, lr=0.119250, batch loss=0.026186, epoch loss=0.107911
Batch=299, step=19500, lr=0.118750, batch loss=0.013707, epoch loss=0.121618
Batch=359, step=19560, lr=0.118750, batch loss=0.029065, epoch loss=0.150683
Batch=419, step=19620, lr=0.118500, batch loss=0.021352, epoch loss=0.172035
Batch=479, step=19680, lr=0.118250, batch loss=0.006611, epoch loss=0.178645
Batch=539, step=19740, lr=0.117750, batch loss=0.020540, epoch loss=0.199185
Batch=599, step=19800, lr=0.117750, batch loss=0.022899, epoch loss=0.222084
Batch=659, step=19860, lr=0.117500, batch loss=0.019538, epoch loss=0.241622
Batch=719, step=19920, lr=0.117000, batch loss=0.059151, epoch loss=0.300773
Batch=779, step=19980, lr=0.117000, batch loss=0.072697, epoch loss=0.373470
Batch=839, step=20040, lr=0.116500, batch loss=0.031740, epoch loss=0.405210
Batch=899, step=20100, lr=0.116250, batch loss=0.029538, epoch loss=0.434748
Batch=959, step=20160, lr=0.116000, batch loss=0.012682, epoch loss=0.447430
Batch=1019, step=20220, lr=0.116000, batch loss=0.015128, epoch loss=0.462558
Batch=1079, step=20280, lr=0.115750, batch loss=0.001855, epoch loss=0.464413
Batch=1139, step=20340, lr=0.115500, batch loss=0.015516, epoch loss=0.479929
Batch=1199, step=20400, lr=0.115000, batch loss=0.007853, epoch loss=0.487782
Epoch=16, step=20400, lr=0.115000, epoch loss=0.487782
Batch=59, step=20460, lr=0.115000, batch loss=0.004025, epoch loss=0.004025
Batch=119, step=20520, lr=0.114750, batch loss=0.015323, epoch loss=0.019348
Batch=179, step=20580, lr=0.114500, batch loss=0.035482, epoch loss=0.054830
Batch=239, step=20640, lr=0.114250, batch loss=0.015490, epoch loss=0.070320
Batch=299, step=20700, lr=0.113750, batch loss=0.009898, epoch loss=0.080218
Batch=359, step=20760, lr=0.113750, batch loss=0.018863, epoch loss=0.099081
Batch=419, step=20820, lr=0.113500, batch loss=0.015582, epoch loss=0.114663
Batch=479, step=20880, lr=0.113250, batch loss=0.005771, epoch loss=0.120434
Batch=539, step=20940, lr=0.112750, batch loss=0.015658, epoch loss=0.136093
Batch=599, step=21000, lr=0.112500, batch loss=0.018936, epoch loss=0.155028
Batch=659, step=21060, lr=0.112250, batch loss=0.015255, epoch loss=0.170284
Batch=719, step=21120, lr=0.112250, batch loss=0.039949, epoch loss=0.210233
Batch=779, step=21180, lr=0.112000, batch loss=0.074043, epoch loss=0.284276
Batch=839, step=21240, lr=0.111750, batch loss=0.027573, epoch loss=0.311848
Batch=899, step=21300, lr=0.111250, batch loss=0.026944, epoch loss=0.338792
Batch=959, step=21360, lr=0.111250, batch loss=0.010255, epoch loss=0.349047
Batch=1019, step=21420, lr=0.111000, batch loss=0.011723, epoch loss=0.360770
Batch=1079, step=21480, lr=0.110750, batch loss=0.001293, epoch loss=0.362063
Batch=1139, step=21540, lr=0.110250, batch loss=0.013319, epoch loss=0.375382
Batch=1199, step=21600, lr=0.110000, batch loss=0.005462, epoch loss=0.380844
Epoch=17, step=21600, lr=0.110000, epoch loss=0.380844
Batch=59, step=21660, lr=0.110000, batch loss=0.002547, epoch loss=0.002547
Batch=119, step=21720, lr=0.109750, batch loss=0.006999, epoch loss=0.009546
Batch=179, step=21780, lr=0.109500, batch loss=0.013250, epoch loss=0.022796
Batch=239, step=21840, lr=0.109000, batch loss=0.009925, epoch loss=0.032721
Batch=299, step=21900, lr=0.109000, batch loss=0.014841, epoch loss=0.047561
Batch=359, step=21960, lr=0.108750, batch loss=0.016066, epoch loss=0.063628
Batch=419, step=22020, lr=0.108500, batch loss=0.013362, epoch loss=0.076990
Batch=479, step=22080, lr=0.108250, batch loss=0.002762, epoch loss=0.079753
Batch=539, step=22140, lr=0.107750, batch loss=0.018221, epoch loss=0.097974
Batch=599, step=22200, lr=0.107750, batch loss=0.018063, epoch loss=0.116036
Batch=659, step=22260, lr=0.107250, batch loss=0.015488, epoch loss=0.131524
Batch=719, step=22320, lr=0.107000, batch loss=0.023264, epoch loss=0.154788
Batch=779, step=22380, lr=0.106750, batch loss=0.033288, epoch loss=0.188076
Batch=839, step=22440, lr=0.106500, batch loss=0.030286, epoch loss=0.218362
Batch=899, step=22500, lr=0.106500, batch loss=0.024272, epoch loss=0.242634
Batch=959, step=22560, lr=0.106250, batch loss=0.012392, epoch loss=0.255026
Batch=1019, step=22620, lr=0.106000, batch loss=0.013654, epoch loss=0.268680
Batch=1079, step=22680, lr=0.105500, batch loss=0.001103, epoch loss=0.269783
Batch=1139, step=22740, lr=0.105500, batch loss=0.010875, epoch loss=0.280658
Batch=1199, step=22800, lr=0.105250, batch loss=0.005564, epoch loss=0.286223
Epoch=18, step=22800, lr=0.105250, epoch loss=0.286223
Batch=59, step=22860, lr=0.104750, batch loss=0.002265, epoch loss=0.002265
Batch=119, step=22920, lr=0.104500, batch loss=0.005950, epoch loss=0.008215
Batch=179, step=22980, lr=0.104500, batch loss=0.010839, epoch loss=0.019054
Batch=239, step=23040, lr=0.104250, batch loss=0.010063, epoch loss=0.029117
Batch=299, step=23100, lr=0.103750, batch loss=0.001530, epoch loss=0.030647
Batch=359, step=23160, lr=0.103500, batch loss=0.010943, epoch loss=0.041590
Batch=419, step=23220, lr=0.103500, batch loss=0.010886, epoch loss=0.052476
Batch=479, step=23280, lr=0.103250, batch loss=0.002425, epoch loss=0.054902
Batch=539, step=23340, lr=0.103000, batch loss=0.017125, epoch loss=0.072026
Batch=599, step=23400, lr=0.102750, batch loss=0.013931, epoch loss=0.085957
Batch=659, step=23460, lr=0.102500, batch loss=0.010376, epoch loss=0.096333
Batch=719, step=23520, lr=0.102000, batch loss=0.016754, epoch loss=0.113088
Batch=779, step=23580, lr=0.102000, batch loss=0.021431, epoch loss=0.134519
Batch=839, step=23640, lr=0.101500, batch loss=0.027789, epoch loss=0.162308
Batch=899, step=23700, lr=0.101500, batch loss=0.022168, epoch loss=0.184477
Batch=959, step=23760, lr=0.101000, batch loss=0.010867, epoch loss=0.195344
Batch=1019, step=23820, lr=0.101000, batch loss=0.011631, epoch loss=0.206975
Batch=1079, step=23880, lr=0.100500, batch loss=0.001018, epoch loss=0.207993
Batch=1139, step=23940, lr=0.100250, batch loss=0.009184, epoch loss=0.217176
Batch=1199, step=24000, lr=0.100000, batch loss=0.004834, epoch loss=0.222011
Epoch=19, step=24000, lr=0.100000, epoch loss=0.222011


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-09 15:40.19 ---> saved as "4c1853df6a706ea52e06ae5a1d8ea4643d6091ca1072ef1151e95021696c3545"
Job succeeded
2025-05-09 15:40.20: Job succeeded