Organisationsahrefsocannle752dd ()debian-12-5.3_ppc64_opam-2.3

debian-12-5.3_ppc64_opam-2.3

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2025-05-09 16:04.08: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (e752ddbc7f85bd4a7379f2e2bc07d7a945f73056) (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 e752ddbc
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 16:04.08: 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 16:04.08: 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 16:04.08: Waiting for resource in pool OCluster
2025-05-09 16:04.09: Waiting for worker…
2025-05-09 16:04.09: Got resource from pool OCluster
Building on orithia.caelum.ci.dev
HEAD is now at e3497ade gcc_backend.ml: tiny fixes to recent refactorings
HEAD is now at e752ddbc Make Metal non-optional on macOS and test it on an M1 GPU


(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 16:04.09 ---> 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 16:04.09 ---> 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 16:04.09 ---> 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 16:04.09 ---> using "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-09 16:04.09 ---> 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 16:04.09 ---> using "fc413ac52c2d5a89de1d48cc1a1256d0fbe953cd12f95f094c860c7a8f51d79a" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-09 16:04.10 ---> saved as "c3214a12cf1826639d067304aacd30d73b8de151b1282360f1da7fa2ed1e48ea"


/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 16:04.14 ---> saved as "f3f3fb88a117c8b7ba720d37d98d1372f9f03cd9320716f589323b99b0211134"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-09 16:04.15 ---> saved as "51a71a76c58cd4fdeb2cdc963520357cc0c76e3f16b22a8ddd92d6a2f9679c43"


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bookworm InRelease
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian-security bookworm-security/main ppc64el Packages [247 kB]
- Fetched 350 kB in 0s (784 kB/s)
- Reading package lists...
- 


<><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><>
[neural_nets_lib.dev] synchronised (file:///src)
[arrayjit.dev] synchronised (file:///src)


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-dev pkg-config


<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:ppc64el.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18720 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_ppc64el.deb ...
- Unpacking libffi-dev:ppc64el (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:ppc64el.
- Preparing to unpack .../libpkgconf3_1.8.1-1_ppc64el.deb ...
- Unpacking libpkgconf3:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:ppc64el.
- Preparing to unpack .../pkgconf_1.8.1-1_ppc64el.deb ...
- Unpacking pkgconf:ppc64el (1.8.1-1) ...
- Selecting previously unselected package pkg-config:ppc64el.
- Preparing to unpack .../pkg-config_1.8.1-1_ppc64el.deb ...
- Unpacking pkg-config:ppc64el (1.8.1-1) ...
- Setting up libffi-dev:ppc64el (3.4.4-1) ...
- Setting up libpkgconf3:ppc64el (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:ppc64el (1.8.1-1) ...
- Setting up pkg-config:ppc64el (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-05-09 16:04.29 ---> saved as "9d56f6d76bd60164cac7b022b6b831ab9f5b6b453181e6465decd200f300b5f6"


/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)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved 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 dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> installed cmdliner.1.3.0
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved 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 uutf.1.0.4
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed 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 ppx_derivers.1.2.1
-> 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 bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed tyxml.4.6.0
-> installed angstrom.0.16.1
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.2
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed stdio.v0.17.0
-> 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 printbox-ext-plot.0.12
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed 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 16:05.48 ---> saved as "1f6aab0317fec32e0124c38211b4b29928c5d589090832a66c72117dfbfae512"


/src: (copy (src .) (dst /src))
2025-05-09 16:05.53 ---> saved as "f77859700030eeda39335368bfcfd9d9dbe9d6cea1dfac30f63894103e876135"


/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 '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 '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 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=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.852303, epoch loss=35.617934
Batch=299, step=300, lr=0.199000, batch loss=1.444952, epoch loss=37.062886
Batch=359, step=360, lr=0.198750, batch loss=1.338572, epoch loss=38.401458
Batch=419, step=420, lr=0.198250, batch loss=0.613821, epoch loss=39.015279
Batch=479, step=480, lr=0.198250, batch loss=0.795007, epoch loss=39.810286
Batch=539, step=540, lr=0.198000, batch loss=0.651935, epoch loss=40.462221
Batch=599, step=600, lr=0.197500, batch loss=1.085091, epoch loss=41.547312
Batch=659, step=660, lr=0.197500, batch loss=0.482169, epoch loss=42.029482
Batch=719, step=720, lr=0.197000, batch loss=0.412734, epoch loss=42.442215
Batch=779, step=780, lr=0.197000, batch loss=0.470679, epoch loss=42.912894
Batch=839, step=840, lr=0.196750, batch loss=0.445128, epoch loss=43.358022
Batch=899, step=900, lr=0.196250, batch loss=0.386173, epoch loss=43.744195
Batch=959, step=960, lr=0.196000, batch loss=0.244529, epoch loss=43.988723
Batch=1019, step=1020, lr=0.196000, batch loss=0.456615, epoch loss=44.445338
Batch=1079, step=1080, lr=0.195500, batch loss=0.252706, epoch loss=44.698044
Batch=1139, step=1140, lr=0.195500, batch loss=0.331637, epoch loss=45.029682
Batch=1199, step=1200, lr=0.195000, batch loss=0.267751, epoch loss=45.297432
Epoch=0, step=1200, lr=0.195000, epoch loss=45.297432
Batch=59, step=1260, lr=0.194750, batch loss=0.265412, epoch loss=0.265412
Batch=119, step=1320, lr=0.194500, batch loss=0.207011, epoch loss=0.472422
Batch=179, step=1380, lr=0.194250, batch loss=0.246914, epoch loss=0.719336
Batch=239, step=1440, lr=0.194000, batch loss=0.350215, epoch loss=1.069551
Batch=299, step=1500, lr=0.194000, batch loss=0.239393, epoch loss=1.308944
Batch=359, step=1560, lr=0.193750, batch loss=0.311269, epoch loss=1.620214
Batch=419, step=1620, lr=0.193500, batch loss=0.308215, epoch loss=1.928429
Batch=479, step=1680, lr=0.193250, batch loss=0.275495, epoch loss=2.203924
Batch=539, step=1740, lr=0.192750, batch loss=0.210056, epoch loss=2.413980
Batch=599, step=1800, lr=0.192500, batch loss=0.251870, epoch loss=2.665850
Batch=659, step=1860, lr=0.192500, batch loss=0.368515, epoch loss=3.034365
Batch=719, step=1920, lr=0.192000, batch loss=0.367937, epoch loss=3.402302
Batch=779, step=1980, lr=0.192000, batch loss=0.382490, epoch loss=3.784793
Batch=839, step=2040, lr=0.191500, batch loss=0.341847, epoch loss=4.126640
Batch=899, step=2100, lr=0.191250, batch loss=0.296873, epoch loss=4.423513
Batch=959, step=2160, lr=0.191250, batch loss=0.216463, epoch loss=4.639976
Batch=1019, step=2220, lr=0.191000, batch loss=0.330405, epoch loss=4.970380
Batch=1079, step=2280, lr=0.190750, batch loss=0.199473, epoch loss=5.169854
Batch=1139, step=2340, lr=0.190500, batch loss=0.262459, epoch loss=5.432313
Batch=1199, step=2400, lr=0.190250, batch loss=0.211494, epoch loss=5.643807
Epoch=1, step=2400, lr=0.190250, epoch loss=5.643807
Batch=59, step=2460, lr=0.189750, batch loss=0.227562, epoch loss=0.227562
Batch=119, step=2520, lr=0.189500, batch loss=0.196605, epoch loss=0.424166
Batch=179, step=2580, lr=0.189500, batch loss=0.219683, epoch loss=0.643849
Batch=239, step=2640, lr=0.189000, batch loss=0.326831, epoch loss=0.970680
Batch=299, step=2700, lr=0.188750, batch loss=0.206307, epoch loss=1.176987
Batch=359, step=2760, lr=0.188750, batch loss=0.292255, epoch loss=1.469242
Batch=419, step=2820, lr=0.188500, batch loss=0.284819, epoch loss=1.754061
Batch=479, step=2880, lr=0.188250, batch loss=0.263084, epoch loss=2.017145
Batch=539, step=2940, lr=0.188000, batch loss=0.209863, epoch loss=2.227008
Batch=599, step=3000, lr=0.187500, batch loss=0.260365, epoch loss=2.487374
Batch=659, step=3060, lr=0.187250, batch loss=0.363008, epoch loss=2.850381
Batch=719, step=3120, lr=0.187000, batch loss=0.358261, epoch loss=3.208642
Batch=779, step=3180, lr=0.187000, batch loss=0.358701, epoch loss=3.567343
Batch=839, step=3240, lr=0.186750, batch loss=0.330867, epoch loss=3.898210
Batch=899, step=3300, lr=0.186500, batch loss=0.296172, epoch loss=4.194382
Batch=959, step=3360, lr=0.186250, batch loss=0.242945, epoch loss=4.437327
Batch=1019, step=3420, lr=0.186000, batch loss=0.367988, epoch loss=4.805315
Batch=1079, step=3480, lr=0.185750, batch loss=0.233337, epoch loss=5.038652
Batch=1139, step=3540, lr=0.185500, batch loss=0.258770, epoch loss=5.297422
Batch=1199, step=3600, lr=0.185250, batch loss=0.202436, epoch loss=5.499858
Epoch=2, step=3600, lr=0.185250, epoch loss=5.499858
Batch=59, step=3660, lr=0.185000, batch loss=0.224266, epoch loss=0.224266
Batch=119, step=3720, lr=0.184500, batch loss=0.185236, epoch loss=0.409502
Batch=179, step=3780, lr=0.184500, batch loss=0.212735, epoch loss=0.622237
Batch=239, step=3840, lr=0.184000, batch loss=0.317641, epoch loss=0.939878
Batch=299, step=3900, lr=0.183750, batch loss=0.204372, epoch loss=1.144250
Batch=359, step=3960, lr=0.183750, batch loss=0.283121, epoch loss=1.427371
Batch=419, step=4020, lr=0.183250, batch loss=0.273592, epoch loss=1.700963
Batch=479, step=4080, lr=0.183250, batch loss=0.252533, epoch loss=1.953496
Batch=539, step=4140, lr=0.183000, batch loss=0.190936, epoch loss=2.144432
Batch=599, step=4200, lr=0.182500, batch loss=0.236029, epoch loss=2.380461
Batch=659, step=4260, lr=0.182500, batch loss=0.333033, epoch loss=2.713494
Batch=719, step=4320, lr=0.182000, batch loss=0.346708, epoch loss=3.060201
Batch=779, step=4380, lr=0.182000, batch loss=0.349621, epoch loss=3.409823
Batch=839, step=4440, lr=0.181750, batch loss=0.319371, epoch loss=3.729194
Batch=899, step=4500, lr=0.181500, batch loss=0.292777, epoch loss=4.021970
Batch=959, step=4560, lr=0.181000, batch loss=0.243577, epoch loss=4.265547
Batch=1019, step=4620, lr=0.180750, batch loss=0.340885, epoch loss=4.606433
Batch=1079, step=4680, lr=0.180750, batch loss=0.199201, epoch loss=4.805634
Batch=1139, step=4740, lr=0.180500, batch loss=0.238665, epoch loss=5.044298
Batch=1199, step=4800, lr=0.180000, batch loss=0.192419, epoch loss=5.236717
Epoch=3, step=4800, lr=0.180000, epoch loss=5.236717
Batch=59, step=4860, lr=0.179750, batch loss=0.226454, epoch loss=0.226454
Batch=119, step=4920, lr=0.179750, batch loss=0.191329, epoch loss=0.417783
Batch=179, step=4980, lr=0.179500, batch loss=0.206446, epoch loss=0.624229
Batch=239, step=5040, lr=0.179250, batch loss=0.307779, epoch loss=0.932008
Batch=299, step=5100, lr=0.179000, batch loss=0.201433, epoch loss=1.133441
Batch=359, step=5160, lr=0.178750, batch loss=0.274720, epoch loss=1.408162
Batch=419, step=5220, lr=0.178500, batch loss=0.264767, epoch loss=1.672928
Batch=479, step=5280, lr=0.178250, batch loss=0.241388, epoch loss=1.914317
Batch=539, step=5340, lr=0.178000, batch loss=0.190717, epoch loss=2.105034
Batch=599, step=5400, lr=0.177500, batch loss=0.231354, epoch loss=2.336388
Batch=659, step=5460, lr=0.177250, batch loss=0.324730, epoch loss=2.661118
Batch=719, step=5520, lr=0.177250, batch loss=0.333758, epoch loss=2.994876
Batch=779, step=5580, lr=0.176750, batch loss=0.342878, epoch loss=3.337754
Batch=839, step=5640, lr=0.176500, batch loss=0.309837, epoch loss=3.647591
Batch=899, step=5700, lr=0.176500, batch loss=0.271193, epoch loss=3.918784
Batch=959, step=5760, lr=0.176000, batch loss=0.219046, epoch loss=4.137830
Batch=1019, step=5820, lr=0.176000, batch loss=0.336512, epoch loss=4.474342
Batch=1079, step=5880, lr=0.175750, batch loss=0.191708, epoch loss=4.666050
Batch=1139, step=5940, lr=0.175250, batch loss=0.221554, epoch loss=4.887603
Batch=1199, step=6000, lr=0.175000, batch loss=0.186809, epoch loss=5.074413
Epoch=4, step=6000, lr=0.175000, epoch loss=5.074413
Batch=59, step=6060, lr=0.175000, batch loss=0.224466, epoch loss=0.224466
Batch=119, step=6120, lr=0.174750, batch loss=0.186111, epoch loss=0.410577
Batch=179, step=6180, lr=0.174250, batch loss=0.201202, epoch loss=0.611778
Batch=239, step=6240, lr=0.174250, batch loss=0.299479, epoch loss=0.911257
Batch=299, step=6300, lr=0.173750, batch loss=0.197803, epoch loss=1.109060
Batch=359, step=6360, lr=0.173750, batch loss=0.265804, epoch loss=1.374863
Batch=419, step=6420, lr=0.173500, batch loss=0.261873, epoch loss=1.636736
Batch=479, step=6480, lr=0.173250, batch loss=0.241080, epoch loss=1.877816
Batch=539, step=6540, lr=0.172750, batch loss=0.196071, epoch loss=2.073887
Batch=599, step=6600, lr=0.172500, batch loss=0.232791, epoch loss=2.306678
Batch=659, step=6660, lr=0.172250, batch loss=0.314434, epoch loss=2.621111
Batch=719, step=6720, lr=0.172000, batch loss=0.318372, epoch loss=2.939483
Batch=779, step=6780, lr=0.172000, batch loss=0.330091, epoch loss=3.269574
Batch=839, step=6840, lr=0.171750, batch loss=0.301975, epoch loss=3.571549
Batch=899, step=6900, lr=0.171250, batch loss=0.271704, epoch loss=3.843253
Batch=959, step=6960, lr=0.171000, batch loss=0.206746, epoch loss=4.049999
Batch=1019, step=7020, lr=0.171000, batch loss=0.329096, epoch loss=4.379094
Batch=1079, step=7080, lr=0.170750, batch loss=0.174816, epoch loss=4.553911
Batch=1139, step=7140, lr=0.170500, batch loss=0.213374, epoch loss=4.767285
Batch=1199, step=7200, lr=0.170250, batch loss=0.182578, epoch loss=4.949863
Epoch=5, step=7200, lr=0.170250, epoch loss=4.949863
Batch=59, step=7260, lr=0.170000, batch loss=0.237076, epoch loss=0.237076
Batch=119, step=7320, lr=0.169750, batch loss=0.182887, epoch loss=0.419962
Batch=179, step=7380, lr=0.169250, batch loss=0.195315, epoch loss=0.615277
Batch=239, step=7440, lr=0.169250, batch loss=0.292211, epoch loss=0.907488
Batch=299, step=7500, lr=0.169000, batch loss=0.207645, epoch loss=1.115134
Batch=359, step=7560, lr=0.168750, batch loss=0.262617, epoch loss=1.377750
Batch=419, step=7620, lr=0.168500, batch loss=0.254543, epoch loss=1.632293
Batch=479, step=7680, lr=0.168000, batch loss=0.233171, epoch loss=1.865465
Batch=539, step=7740, lr=0.168000, batch loss=0.192895, epoch loss=2.058360
Batch=599, step=7800, lr=0.167750, batch loss=0.227129, epoch loss=2.285489
Batch=659, step=7860, lr=0.167500, batch loss=0.307157, epoch loss=2.592646
Batch=719, step=7920, lr=0.167250, batch loss=0.310006, epoch loss=2.902652
Batch=779, step=7980, lr=0.166750, batch loss=0.331684, epoch loss=3.234335
Batch=839, step=8040, lr=0.166750, batch loss=0.293239, epoch loss=3.527574
Batch=899, step=8100, lr=0.166500, batch loss=0.262895, epoch loss=3.790469
Batch=959, step=8160, lr=0.166250, batch loss=0.200222, epoch loss=3.990691
Batch=1019, step=8220, lr=0.166000, batch loss=0.326179, epoch loss=4.316871
Batch=1079, step=8280, lr=0.165750, batch loss=0.186767, epoch loss=4.503637
Batch=1139, step=8340, lr=0.165250, batch loss=0.220345, epoch loss=4.723982
Batch=1199, step=8400, lr=0.165250, batch loss=0.174117, epoch loss=4.898099
Epoch=6, step=8400, lr=0.165250, epoch loss=4.898099
Batch=59, step=8460, lr=0.164750, batch loss=0.222309, epoch loss=0.222309
Batch=119, step=8520, lr=0.164500, batch loss=0.179699, epoch loss=0.402008
Batch=179, step=8580, lr=0.164500, batch loss=0.191238, epoch loss=0.593246
Batch=239, step=8640, lr=0.164250, batch loss=0.284170, epoch loss=0.877416
Batch=299, step=8700, lr=0.164000, batch loss=0.198182, epoch loss=1.075598
Batch=359, step=8760, lr=0.163500, batch loss=0.253121, epoch loss=1.328719
Batch=419, step=8820, lr=0.163250, batch loss=0.249692, epoch loss=1.578411
Batch=479, step=8880, lr=0.163000, batch loss=0.226923, epoch loss=1.805334
Batch=539, step=8940, lr=0.163000, batch loss=0.182115, epoch loss=1.987449
Batch=599, step=9000, lr=0.162750, batch loss=0.215372, epoch loss=2.202821
Batch=659, step=9060, lr=0.162250, batch loss=0.297135, epoch loss=2.499956
Batch=719, step=9120, lr=0.162000, batch loss=0.298042, epoch loss=2.797998
Batch=779, step=9180, lr=0.161750, batch loss=0.318601, epoch loss=3.116599
Batch=839, step=9240, lr=0.161500, batch loss=0.288746, epoch loss=3.405344
Batch=899, step=9300, lr=0.161500, batch loss=0.252881, epoch loss=3.658226
Batch=959, step=9360, lr=0.161250, batch loss=0.189657, epoch loss=3.847883
Batch=1019, step=9420, lr=0.161000, batch loss=0.319622, epoch loss=4.167505
Batch=1079, step=9480, lr=0.160750, batch loss=0.185805, epoch loss=4.353309
Batch=1139, step=9540, lr=0.160500, batch loss=0.207948, epoch loss=4.561257
Batch=1199, step=9600, lr=0.160250, batch loss=0.166749, epoch loss=4.728006
Epoch=7, step=9600, lr=0.160250, epoch loss=4.728006
Batch=59, step=9660, lr=0.159750, batch loss=0.203360, epoch loss=0.203360
Batch=119, step=9720, lr=0.159500, batch loss=0.164505, epoch loss=0.367865
Batch=179, step=9780, lr=0.159250, batch loss=0.180712, epoch loss=0.548577
Batch=239, step=9840, lr=0.159000, batch loss=0.263907, epoch loss=0.812484
Batch=299, step=9900, lr=0.158750, batch loss=0.187899, epoch loss=1.000383
Batch=359, step=9960, lr=0.158750, batch loss=0.243569, epoch loss=1.243951
Batch=419, step=10020, lr=0.158500, batch loss=0.234786, epoch loss=1.478737
Batch=479, step=10080, lr=0.158250, batch loss=0.214739, epoch loss=1.693477
Batch=539, step=10140, lr=0.158000, batch loss=0.172058, epoch loss=1.865535
Batch=599, step=10200, lr=0.157750, batch loss=0.202741, epoch loss=2.068275
Batch=659, step=10260, lr=0.157500, batch loss=0.283920, epoch loss=2.352196
Batch=719, step=10320, lr=0.157000, batch loss=0.281140, epoch loss=2.633336
Batch=779, step=10380, lr=0.157000, batch loss=0.301585, epoch loss=2.934921
Batch=839, step=10440, lr=0.156750, batch loss=0.273552, epoch loss=3.208473
Batch=899, step=10500, lr=0.156500, batch loss=0.241086, epoch loss=3.449560
Batch=959, step=10560, lr=0.156250, batch loss=0.200368, epoch loss=3.649927
Batch=1019, step=10620, lr=0.156000, batch loss=0.283213, epoch loss=3.933141
Batch=1079, step=10680, lr=0.155750, batch loss=0.153233, epoch loss=4.086373
Batch=1139, step=10740, lr=0.155250, batch loss=0.184315, epoch loss=4.270688
Batch=1199, step=10800, lr=0.155250, batch loss=0.157556, epoch loss=4.428244
Epoch=8, step=10800, lr=0.155250, epoch loss=4.428244
Batch=59, step=10860, lr=0.155000, batch loss=0.203144, epoch loss=0.203144
Batch=119, step=10920, lr=0.154750, batch loss=0.159742, epoch loss=0.362886
Batch=179, step=10980, lr=0.154500, batch loss=0.167642, epoch loss=0.530528
Batch=239, step=11040, lr=0.154000, batch loss=0.247141, epoch loss=0.777669
Batch=299, step=11100, lr=0.154000, batch loss=0.164931, epoch loss=0.942600
Batch=359, step=11160, lr=0.153750, batch loss=0.229073, epoch loss=1.171673
Batch=419, step=11220, lr=0.153500, batch loss=0.235799, epoch loss=1.407472
Batch=479, step=11280, lr=0.153250, batch loss=0.201341, epoch loss=1.608813
Batch=539, step=11340, lr=0.153000, batch loss=0.158835, epoch loss=1.767648
Batch=599, step=11400, lr=0.152750, batch loss=0.183213, epoch loss=1.950861
Batch=659, step=11460, lr=0.152500, batch loss=0.264994, epoch loss=2.215855
Batch=719, step=11520, lr=0.152250, batch loss=0.264986, epoch loss=2.480841
Batch=779, step=11580, lr=0.152000, batch loss=0.273273, epoch loss=2.754114
Batch=839, step=11640, lr=0.151500, batch loss=0.253097, epoch loss=3.007211
Batch=899, step=11700, lr=0.151500, batch loss=0.220145, epoch loss=3.227356
Batch=959, step=11760, lr=0.151250, batch loss=0.179290, epoch loss=3.406646
Batch=1019, step=11820, lr=0.150750, batch loss=0.260747, epoch loss=3.667393
Batch=1079, step=11880, lr=0.150750, batch loss=0.140923, epoch loss=3.808316
Batch=1139, step=11940, lr=0.150250, batch loss=0.176281, epoch loss=3.984597
Batch=1199, step=12000, lr=0.150250, batch loss=0.140611, epoch loss=4.125207
Epoch=9, step=12000, lr=0.150250, epoch loss=4.125207
Batch=59, step=12060, lr=0.149750, batch loss=0.173705, epoch loss=0.173705
Batch=119, step=12120, lr=0.149500, batch loss=0.151068, epoch loss=0.324773
Batch=179, step=12180, lr=0.149250, batch loss=0.153674, epoch loss=0.478447
Batch=239, step=12240, lr=0.149000, batch loss=0.225534, epoch loss=0.703981
Batch=299, step=12300, lr=0.149000, batch loss=0.139883, epoch loss=0.843863
Batch=359, step=12360, lr=0.148500, batch loss=0.204519, epoch loss=1.048382
Batch=419, step=12420, lr=0.148500, batch loss=0.211164, epoch loss=1.259546
Batch=479, step=12480, lr=0.148000, batch loss=0.180176, epoch loss=1.439722
Batch=539, step=12540, lr=0.147750, batch loss=0.145763, epoch loss=1.585485
Batch=599, step=12600, lr=0.147500, batch loss=0.151562, epoch loss=1.737047
Batch=659, step=12660, lr=0.147500, batch loss=0.231004, epoch loss=1.968051
Batch=719, step=12720, lr=0.147250, batch loss=0.238416, epoch loss=2.206468
Batch=779, step=12780, lr=0.147000, batch loss=0.261380, epoch loss=2.467848
Batch=839, step=12840, lr=0.146500, batch loss=0.229552, epoch loss=2.697399
Batch=899, step=12900, lr=0.146250, batch loss=0.195188, epoch loss=2.892587
Batch=959, step=12960, lr=0.146250, batch loss=0.163983, epoch loss=3.056570
Batch=1019, step=13020, lr=0.146000, batch loss=0.267294, epoch loss=3.323864
Batch=1079, step=13080, lr=0.145500, batch loss=0.118536, epoch loss=3.442400
Batch=1139, step=13140, lr=0.145250, batch loss=0.152146, epoch loss=3.594546
Batch=1199, step=13200, lr=0.145250, batch loss=0.119799, epoch loss=3.714345
Epoch=10, step=13200, lr=0.145250, epoch loss=3.714345
Batch=59, step=13260, lr=0.145000, batch loss=0.143006, epoch loss=0.143006
Batch=119, step=13320, lr=0.144500, batch loss=0.125307, epoch loss=0.268312
Batch=179, step=13380, lr=0.144250, batch loss=0.131266, epoch loss=0.399578
Batch=239, step=13440, lr=0.144000, batch loss=0.196337, epoch loss=0.595916
Batch=299, step=13500, lr=0.144000, batch loss=0.121939, epoch loss=0.717854
Batch=359, step=13560, lr=0.143750, batch loss=0.170274, epoch loss=0.888128
Batch=419, step=13620, lr=0.143250, batch loss=0.184688, epoch loss=1.072816
Batch=479, step=13680, lr=0.143000, batch loss=0.143005, epoch loss=1.215821
Batch=539, step=13740, lr=0.142750, batch loss=0.120249, epoch loss=1.336070
Batch=599, step=13800, lr=0.142750, batch loss=0.123991, epoch loss=1.460061
Batch=659, step=13860, lr=0.142500, batch loss=0.186435, epoch loss=1.646496
Batch=719, step=13920, lr=0.142000, batch loss=0.198973, epoch loss=1.845469
Batch=779, step=13980, lr=0.141750, batch loss=0.231712, epoch loss=2.077181
Batch=839, step=14040, lr=0.141500, batch loss=0.200952, epoch loss=2.278133
Batch=899, step=14100, lr=0.141500, batch loss=0.203474, epoch loss=2.481607
Batch=959, step=14160, lr=0.141000, batch loss=0.116580, epoch loss=2.598187
Batch=1019, step=14220, lr=0.140750, batch loss=0.203531, epoch loss=2.801718
Batch=1079, step=14280, lr=0.140500, batch loss=0.079823, epoch loss=2.881542
Batch=1139, step=14340, lr=0.140500, batch loss=0.119531, epoch loss=3.001073
Batch=1199, step=14400, lr=0.140000, batch loss=0.089222, epoch loss=3.090294
Epoch=11, step=14400, lr=0.140000, epoch loss=3.090294
Batch=59, step=14460, lr=0.139750, batch loss=0.115097, epoch loss=0.115097
Batch=119, step=14520, lr=0.139500, batch loss=0.114612, epoch loss=0.229708
Batch=179, step=14580, lr=0.139250, batch loss=0.105867, epoch loss=0.335575
Batch=239, step=14640, lr=0.139000, batch loss=0.146978, epoch loss=0.482553
Batch=299, step=14700, lr=0.138750, batch loss=0.083442, epoch loss=0.565995
Batch=359, step=14760, lr=0.138500, batch loss=0.127824, epoch loss=0.693819
Batch=419, step=14820, lr=0.138250, batch loss=0.133440, epoch loss=0.827259
Batch=479, step=14880, lr=0.138000, batch loss=0.107168, epoch loss=0.934427
Batch=539, step=14940, lr=0.138000, batch loss=0.097665, epoch loss=1.032092
Batch=599, step=15000, lr=0.137750, batch loss=0.090252, epoch loss=1.122344
Batch=659, step=15060, lr=0.137250, batch loss=0.143834, epoch loss=1.266178
Batch=719, step=15120, lr=0.137000, batch loss=0.173972, epoch loss=1.440150
Batch=779, step=15180, lr=0.136750, batch loss=0.290792, epoch loss=1.730942
Batch=839, step=15240, lr=0.136500, batch loss=0.141859, epoch loss=1.872801
Batch=899, step=15300, lr=0.136250, batch loss=0.142690, epoch loss=2.015491
Batch=959, step=15360, lr=0.136250, batch loss=0.087805, epoch loss=2.103296
Batch=1019, step=15420, lr=0.135750, batch loss=0.162052, epoch loss=2.265348
Batch=1079, step=15480, lr=0.135500, batch loss=0.050539, epoch loss=2.315887
Batch=1139, step=15540, lr=0.135250, batch loss=0.102595, epoch loss=2.418482
Batch=1199, step=15600, lr=0.135250, batch loss=0.064004, epoch loss=2.482486
Epoch=12, step=15600, lr=0.135250, epoch loss=2.482486
Batch=59, step=15660, lr=0.135000, batch loss=0.090682, epoch loss=0.090682
Batch=119, step=15720, lr=0.134750, batch loss=0.140951, epoch loss=0.231633
Batch=179, step=15780, lr=0.134250, batch loss=0.101948, epoch loss=0.333580
Batch=239, step=15840, lr=0.134000, batch loss=0.103824, epoch loss=0.437405
Batch=299, step=15900, lr=0.133750, batch loss=0.047338, epoch loss=0.484742
Batch=359, step=15960, lr=0.133500, batch loss=0.087027, epoch loss=0.571769
Batch=419, step=16020, lr=0.133250, batch loss=0.085118, epoch loss=0.656888
Batch=479, step=16080, lr=0.133250, batch loss=0.066471, epoch loss=0.723359
Batch=539, step=16140, lr=0.133000, batch loss=0.059003, epoch loss=0.782361
Batch=599, step=16200, lr=0.132750, batch loss=0.112379, epoch loss=0.894740
Batch=659, step=16260, lr=0.132250, batch loss=0.084601, epoch loss=0.979341
Batch=719, step=16320, lr=0.132000, batch loss=0.088539, epoch loss=1.067880
Batch=779, step=16380, lr=0.131750, batch loss=0.108139, epoch loss=1.176019
Batch=839, step=16440, lr=0.131750, batch loss=0.131530, epoch loss=1.307549
Batch=899, step=16500, lr=0.131500, batch loss=0.156368, epoch loss=1.463916
Batch=959, step=16560, lr=0.131250, batch loss=0.053286, epoch loss=1.517202
Batch=1019, step=16620, lr=0.130750, batch loss=0.131711, epoch loss=1.648913
Batch=1079, step=16680, lr=0.130750, batch loss=0.020745, epoch loss=1.669658
Batch=1139, step=16740, lr=0.130500, batch loss=0.045836, epoch loss=1.715494
Batch=1199, step=16800, lr=0.130250, batch loss=0.032936, epoch loss=1.748430
Epoch=13, step=16800, lr=0.130250, epoch loss=1.748430
Batch=59, step=16860, lr=0.129750, batch loss=0.040364, epoch loss=0.040364
Batch=119, step=16920, lr=0.129750, batch loss=0.066106, epoch loss=0.106470
Batch=179, step=16980, lr=0.129250, batch loss=0.055480, epoch loss=0.161951
Batch=239, step=17040, lr=0.129000, batch loss=0.065884, epoch loss=0.227835
Batch=299, step=17100, lr=0.128750, batch loss=0.029325, epoch loss=0.257160
Batch=359, step=17160, lr=0.128500, batch loss=0.050062, epoch loss=0.307223
Batch=419, step=17220, lr=0.128250, batch loss=0.058277, epoch loss=0.365500
Batch=479, step=17280, lr=0.128000, batch loss=0.029623, epoch loss=0.395122
Batch=539, step=17340, lr=0.127750, batch loss=0.041742, epoch loss=0.436865
Batch=599, step=17400, lr=0.127500, batch loss=0.035827, epoch loss=0.472691
Batch=659, step=17460, lr=0.127250, batch loss=0.053667, epoch loss=0.526358
Batch=719, step=17520, lr=0.127250, batch loss=0.076235, epoch loss=0.602593
Batch=779, step=17580, lr=0.127000, batch loss=0.064207, epoch loss=0.666800
Batch=839, step=17640, lr=0.126500, batch loss=0.110840, epoch loss=0.777640
Batch=899, step=17700, lr=0.126500, batch loss=0.061105, epoch loss=0.838745
Batch=959, step=17760, lr=0.126000, batch loss=0.025100, epoch loss=0.863844
Batch=1019, step=17820, lr=0.125750, batch loss=0.039788, epoch loss=0.903633
Batch=1079, step=17880, lr=0.125750, batch loss=0.024075, epoch loss=0.927707
Batch=1139, step=17940, lr=0.125250, batch loss=0.052856, epoch loss=0.980564
Batch=1199, step=18000, lr=0.125000, batch loss=0.021409, epoch loss=1.001973
Epoch=14, step=18000, lr=0.125000, epoch loss=1.001973
Batch=59, step=18060, lr=0.124750, batch loss=0.015073, epoch loss=0.015073
Batch=119, step=18120, lr=0.124500, batch loss=0.021493, epoch loss=0.036566
Batch=179, step=18180, lr=0.124250, batch loss=0.030242, epoch loss=0.066808
Batch=239, step=18240, lr=0.124000, batch loss=0.036806, epoch loss=0.103613
Batch=299, step=18300, lr=0.124000, batch loss=0.010779, epoch loss=0.114392
Batch=359, step=18360, lr=0.123500, batch loss=0.027937, epoch loss=0.142329
Batch=419, step=18420, lr=0.123250, batch loss=0.031294, epoch loss=0.173623
Batch=479, step=18480, lr=0.123000, batch loss=0.016424, epoch loss=0.190047
Batch=539, step=18540, lr=0.122750, batch loss=0.037492, epoch loss=0.227538
Batch=599, step=18600, lr=0.122750, batch loss=0.054073, epoch loss=0.281612
Batch=659, step=18660, lr=0.122500, batch loss=0.032407, epoch loss=0.314019
Batch=719, step=18720, lr=0.122000, batch loss=0.053345, epoch loss=0.367363
Batch=779, step=18780, lr=0.121750, batch loss=0.099819, epoch loss=0.467182
Batch=839, step=18840, lr=0.121500, batch loss=0.073059, epoch loss=0.540242
Batch=899, step=18900, lr=0.121250, batch loss=0.103221, epoch loss=0.643463
Batch=959, step=18960, lr=0.121250, batch loss=0.015987, epoch loss=0.659450
Batch=1019, step=19020, lr=0.121000, batch loss=0.020987, epoch loss=0.680437
Batch=1079, step=19080, lr=0.120750, batch loss=0.005774, epoch loss=0.686211
Batch=1139, step=19140, lr=0.120500, batch loss=0.026691, epoch loss=0.712902
Batch=1199, step=19200, lr=0.120250, batch loss=0.011632, epoch loss=0.724534
Epoch=15, step=19200, lr=0.120250, epoch loss=0.724534
Batch=59, step=19260, lr=0.119750, batch loss=0.006258, epoch loss=0.006258
Batch=119, step=19320, lr=0.119500, batch loss=0.017041, epoch loss=0.023300
Batch=179, step=19380, lr=0.119250, batch loss=0.035832, epoch loss=0.059131
Batch=239, step=19440, lr=0.119000, batch loss=0.024793, epoch loss=0.083924
Batch=299, step=19500, lr=0.118750, batch loss=0.008050, epoch loss=0.091974
Batch=359, step=19560, lr=0.118500, batch loss=0.017416, epoch loss=0.109391
Batch=419, step=19620, lr=0.118250, batch loss=0.021010, epoch loss=0.130400
Batch=479, step=19680, lr=0.118000, batch loss=0.011853, epoch loss=0.142254
Batch=539, step=19740, lr=0.117750, batch loss=0.019488, epoch loss=0.161742
Batch=599, step=19800, lr=0.117750, batch loss=0.020529, epoch loss=0.182271
Batch=659, step=19860, lr=0.117500, batch loss=0.020415, epoch loss=0.202686
Batch=719, step=19920, lr=0.117250, batch loss=0.016711, epoch loss=0.219397
Batch=779, step=19980, lr=0.117000, batch loss=0.022106, epoch loss=0.241503
Batch=839, step=20040, lr=0.116500, batch loss=0.031769, epoch loss=0.273272
Batch=899, step=20100, lr=0.116250, batch loss=0.026510, epoch loss=0.299783
Batch=959, step=20160, lr=0.116250, batch loss=0.018398, epoch loss=0.318180
Batch=1019, step=20220, lr=0.116000, batch loss=0.028355, epoch loss=0.346535
Batch=1079, step=20280, lr=0.115500, batch loss=0.004179, epoch loss=0.350714
Batch=1139, step=20340, lr=0.115500, batch loss=0.014823, epoch loss=0.365538
Batch=1199, step=20400, lr=0.115250, batch loss=0.007181, epoch loss=0.372719
Epoch=16, step=20400, lr=0.115250, epoch loss=0.372719
Batch=59, step=20460, lr=0.115000, batch loss=0.003821, epoch loss=0.003821
Batch=119, step=20520, lr=0.114750, batch loss=0.009125, epoch loss=0.012947
Batch=179, step=20580, lr=0.114500, batch loss=0.016902, epoch loss=0.029848
Batch=239, step=20640, lr=0.114000, batch loss=0.016354, epoch loss=0.046202
Batch=299, step=20700, lr=0.113750, batch loss=0.004244, epoch loss=0.050446
Batch=359, step=20760, lr=0.113750, batch loss=0.013244, epoch loss=0.063691
Batch=419, step=20820, lr=0.113500, batch loss=0.016829, epoch loss=0.080519
Batch=479, step=20880, lr=0.113000, batch loss=0.008499, epoch loss=0.089018
Batch=539, step=20940, lr=0.112750, batch loss=0.018816, epoch loss=0.107834
Batch=599, step=21000, lr=0.112750, batch loss=0.017840, epoch loss=0.125674
Batch=659, step=21060, lr=0.112250, batch loss=0.013930, epoch loss=0.139604
Batch=719, step=21120, lr=0.112000, batch loss=0.019490, epoch loss=0.159094
Batch=779, step=21180, lr=0.111750, batch loss=0.031972, epoch loss=0.191067
Batch=839, step=21240, lr=0.111500, batch loss=0.026921, epoch loss=0.217987
Batch=899, step=21300, lr=0.111500, batch loss=0.027011, epoch loss=0.244998
Batch=959, step=21360, lr=0.111250, batch loss=0.010490, epoch loss=0.255489
Batch=1019, step=21420, lr=0.111000, batch loss=0.011918, epoch loss=0.267407
Batch=1079, step=21480, lr=0.110500, batch loss=0.003740, epoch loss=0.271147
Batch=1139, step=21540, lr=0.110250, batch loss=0.014653, epoch loss=0.285800
Batch=1199, step=21600, lr=0.110000, batch loss=0.006386, epoch loss=0.292186
Epoch=17, step=21600, lr=0.110000, epoch loss=0.292186
Batch=59, step=21660, lr=0.110000, batch loss=0.002789, epoch loss=0.002789
Batch=119, step=21720, lr=0.109500, batch loss=0.007538, epoch loss=0.010327
Batch=179, step=21780, lr=0.109500, batch loss=0.014614, epoch loss=0.024941
Batch=239, step=21840, lr=0.109250, batch loss=0.017874, epoch loss=0.042814
Batch=299, step=21900, lr=0.109000, batch loss=0.008427, epoch loss=0.051241
Batch=359, step=21960, lr=0.108750, batch loss=0.013419, epoch loss=0.064660
Batch=419, step=22020, lr=0.108250, batch loss=0.012226, epoch loss=0.076885
Batch=479, step=22080, lr=0.108000, batch loss=0.003553, epoch loss=0.080438
Batch=539, step=22140, lr=0.107750, batch loss=0.016409, epoch loss=0.096847
Batch=599, step=22200, lr=0.107500, batch loss=0.016245, epoch loss=0.113092
Batch=659, step=22260, lr=0.107500, batch loss=0.013321, epoch loss=0.126413
Batch=719, step=22320, lr=0.107000, batch loss=0.029879, epoch loss=0.156292
Batch=779, step=22380, lr=0.106750, batch loss=0.039406, epoch loss=0.195697
Batch=839, step=22440, lr=0.106750, batch loss=0.023028, epoch loss=0.218725
Batch=899, step=22500, lr=0.106250, batch loss=0.021216, epoch loss=0.239941
Batch=959, step=22560, lr=0.106000, batch loss=0.011056, epoch loss=0.250997
Batch=1019, step=22620, lr=0.105750, batch loss=0.009825, epoch loss=0.260823
Batch=1079, step=22680, lr=0.105500, batch loss=0.001436, epoch loss=0.262258
Batch=1139, step=22740, lr=0.105250, batch loss=0.011301, epoch loss=0.273559
Batch=1199, step=22800, lr=0.105250, batch loss=0.004842, epoch loss=0.278401
Epoch=18, step=22800, lr=0.105250, epoch loss=0.278401
Batch=59, step=22860, lr=0.105000, batch loss=0.002070, epoch loss=0.002070
Batch=119, step=22920, lr=0.104500, batch loss=0.005781, epoch loss=0.007851
Batch=179, step=22980, lr=0.104500, batch loss=0.011639, epoch loss=0.019489
Batch=239, step=23040, lr=0.104250, batch loss=0.009710, epoch loss=0.029199
Batch=299, step=23100, lr=0.103750, batch loss=0.010107, epoch loss=0.039306
Batch=359, step=23160, lr=0.103750, batch loss=0.013266, epoch loss=0.052572
Batch=419, step=23220, lr=0.103500, batch loss=0.011198, epoch loss=0.063770
Batch=479, step=23280, lr=0.103250, batch loss=0.004342, epoch loss=0.068112
Batch=539, step=23340, lr=0.103000, batch loss=0.014189, epoch loss=0.082301
Batch=599, step=23400, lr=0.102750, batch loss=0.014940, epoch loss=0.097241
Batch=659, step=23460, lr=0.102250, batch loss=0.014995, epoch loss=0.112236
Batch=719, step=23520, lr=0.102000, batch loss=0.022199, epoch loss=0.134435
Batch=779, step=23580, lr=0.102000, batch loss=0.026270, epoch loss=0.160704
Batch=839, step=23640, lr=0.101500, batch loss=0.029158, epoch loss=0.189862
Batch=899, step=23700, lr=0.101500, batch loss=0.021653, epoch loss=0.211515
Batch=959, step=23760, lr=0.101000, batch loss=0.010308, epoch loss=0.221822
Batch=1019, step=23820, lr=0.101000, batch loss=0.010478, epoch loss=0.232300
Batch=1079, step=23880, lr=0.100750, batch loss=0.000818, epoch loss=0.233119
Batch=1139, step=23940, lr=0.100250, batch loss=0.009857, epoch loss=0.242976
Batch=1199, step=24000, lr=0.100000, batch loss=0.004862, epoch loss=0.247838
Epoch=19, step=24000, lr=0.100000, epoch loss=0.247838


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-09 16:06.30 ---> saved as "ce987ef2546de2bb410a551e83425319a9c119e94625c08624699e238cc2d078"
Job succeeded
2025-05-09 16:06.31: Job succeeded