debian-12-5.3_ppc64_opam-2.3

2025-05-09 14:37.38: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (86bf625e6f345ccadda7a57dd16ed6a6649ff4ca) (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 86bf625e
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 14:37.38: 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 14:37.38: 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 14:37.38: Waiting for resource in pool OCluster
2025-05-09 14:37.38: Waiting for worker…
2025-05-09 14:37.38: Got resource from pool OCluster
Building on orithia.caelum.ci.dev
HEAD is now at a68de5eb Formatting
HEAD is now at 86bf625e cuda_backend.ml tiny refactoring fixes


(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 14:37.39 ---> 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 14:37.39 ---> 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 14:37.39 ---> 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 14:37.39 ---> using "0ab9777a1a6ec89dec2e09cd4f5c7ca0aae1a08bd0cf5e38d16b5986de7b61c6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-09 14:37.39 ---> 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 14:37.39 ---> using "fc413ac52c2d5a89de1d48cc1a1256d0fbe953cd12f95f094c860c7a8f51d79a" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-09 14:37.39 ---> 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 14:37.39 ---> using "26beb80314b675d138bba30192f965393c8083f9cbd832ccf014196879db9bc5" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-09 14:37.39 ---> 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%
(Reading database ... 20%
(Reading database ... 25%
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(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 14:37.39 ---> 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 14:37.39 ---> using "c151cf1c8cbcb6155f815e7c147004f9685dff84d11ab660ff56be22c684af09" from cache


/src: (copy (src .) (dst /src))
2025-05-09 14:37.43 ---> saved as "bc2d8a8b1c86cb179c1dc786e3ac474ba7735dabf9a31c5014a011985f18debb"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/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 '' -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=0.199750, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199250, batch loss=2.644440, epoch loss=34.770819
Batch=239, step=240, lr=0.199250, batch loss=0.856726, epoch loss=35.627545
Batch=299, step=300, lr=0.199000, batch loss=1.435283, epoch loss=37.062828
Batch=359, step=360, lr=0.198750, batch loss=1.340531, epoch loss=38.403359
Batch=419, step=420, lr=0.198500, batch loss=0.610731, epoch loss=39.014090
Batch=479, step=480, lr=0.198250, batch loss=0.747171, epoch loss=39.761261
Batch=539, step=540, lr=0.197750, batch loss=0.688775, epoch loss=40.450036
Batch=599, step=600, lr=0.197500, batch loss=1.101677, epoch loss=41.551713
Batch=659, step=660, lr=0.197500, batch loss=0.481680, epoch loss=42.033392
Batch=719, step=720, lr=0.197000, batch loss=0.410593, epoch loss=42.443985
Batch=779, step=780, lr=0.196750, batch loss=0.469305, epoch loss=42.913290
Batch=839, step=840, lr=0.196500, batch loss=0.450224, epoch loss=43.363514
Batch=899, step=900, lr=0.196500, batch loss=0.383468, epoch loss=43.746982
Batch=959, step=960, lr=0.196000, batch loss=0.268881, epoch loss=44.015863
Batch=1019, step=1020, lr=0.196000, batch loss=0.486200, epoch loss=44.502064
Batch=1079, step=1080, lr=0.195750, batch loss=0.266782, epoch loss=44.768845
Batch=1139, step=1140, lr=0.195250, batch loss=0.329853, epoch loss=45.098698
Batch=1199, step=1200, lr=0.195000, batch loss=0.263580, epoch loss=45.362279
Epoch=0, step=1200, lr=0.195000, epoch loss=45.362279
Batch=59, step=1260, lr=0.195000, batch loss=0.263559, epoch loss=0.263559
Batch=119, step=1320, lr=0.194750, batch loss=0.208087, epoch loss=0.471646
Batch=179, step=1380, lr=0.194250, batch loss=0.249306, epoch loss=0.720952
Batch=239, step=1440, lr=0.194000, batch loss=0.351486, epoch loss=1.072438
Batch=299, step=1500, lr=0.194000, batch loss=0.236924, epoch loss=1.309362
Batch=359, step=1560, lr=0.193750, batch loss=0.313200, epoch loss=1.622561
Batch=419, step=1620, lr=0.193500, batch loss=0.312612, epoch loss=1.935173
Batch=479, step=1680, lr=0.193250, batch loss=0.277159, epoch loss=2.212332
Batch=539, step=1740, lr=0.193000, batch loss=0.209773, epoch loss=2.422105
Batch=599, step=1800, lr=0.192750, batch loss=0.245687, epoch loss=2.667792
Batch=659, step=1860, lr=0.192500, batch loss=0.362901, epoch loss=3.030693
Batch=719, step=1920, lr=0.192000, batch loss=0.356889, epoch loss=3.387582
Batch=779, step=1980, lr=0.192000, batch loss=0.382460, epoch loss=3.770042
Batch=839, step=2040, lr=0.191500, batch loss=0.342061, epoch loss=4.112103
Batch=899, step=2100, lr=0.191500, batch loss=0.295851, epoch loss=4.407954
Batch=959, step=2160, lr=0.191250, batch loss=0.215415, epoch loss=4.623369
Batch=1019, step=2220, lr=0.190750, batch loss=0.331896, epoch loss=4.955265
Batch=1079, step=2280, lr=0.190750, batch loss=0.196440, epoch loss=5.151705
Batch=1139, step=2340, lr=0.190250, batch loss=0.273668, epoch loss=5.425373
Batch=1199, step=2400, lr=0.190250, batch loss=0.220913, epoch loss=5.646286
Epoch=1, step=2400, lr=0.190250, epoch loss=5.646286
Batch=59, step=2460, lr=0.190000, batch loss=0.229783, epoch loss=0.229783
Batch=119, step=2520, lr=0.189500, batch loss=0.194354, epoch loss=0.424136
Batch=179, step=2580, lr=0.189500, batch loss=0.222071, epoch loss=0.646208
Batch=239, step=2640, lr=0.189250, batch loss=0.328146, epoch loss=0.974353
Batch=299, step=2700, lr=0.188750, batch loss=0.205348, epoch loss=1.179701
Batch=359, step=2760, lr=0.188750, batch loss=0.293501, epoch loss=1.473202
Batch=419, step=2820, lr=0.188500, batch loss=0.281318, epoch loss=1.754520
Batch=479, step=2880, lr=0.188250, batch loss=0.256262, epoch loss=2.010782
Batch=539, step=2940, lr=0.188000, batch loss=0.196451, epoch loss=2.207233
Batch=599, step=3000, lr=0.187500, batch loss=0.242431, epoch loss=2.449664
Batch=659, step=3060, lr=0.187500, batch loss=0.347932, epoch loss=2.797595
Batch=719, step=3120, lr=0.187000, batch loss=0.347011, epoch loss=3.144606
Batch=779, step=3180, lr=0.187000, batch loss=0.366023, epoch loss=3.510629
Batch=839, step=3240, lr=0.186500, batch loss=0.323408, epoch loss=3.834037
Batch=899, step=3300, lr=0.186500, batch loss=0.291399, epoch loss=4.125437
Batch=959, step=3360, lr=0.186250, batch loss=0.233344, epoch loss=4.358781
Batch=1019, step=3420, lr=0.185750, batch loss=0.344987, epoch loss=4.703769
Batch=1079, step=3480, lr=0.185500, batch loss=0.227337, epoch loss=4.931106
Batch=1139, step=3540, lr=0.185250, batch loss=0.267202, epoch loss=5.198308
Batch=1199, step=3600, lr=0.185000, batch loss=0.201650, epoch loss=5.399957
Epoch=2, step=3600, lr=0.185000, epoch loss=5.399957
Batch=59, step=3660, lr=0.184750, batch loss=0.225344, epoch loss=0.225344
Batch=119, step=3720, lr=0.184750, batch loss=0.188200, epoch loss=0.413545
Batch=179, step=3780, lr=0.184500, batch loss=0.213532, epoch loss=0.627076
Batch=239, step=3840, lr=0.184000, batch loss=0.317202, epoch loss=0.944279
Batch=299, step=3900, lr=0.184000, batch loss=0.205777, epoch loss=1.150055
Batch=359, step=3960, lr=0.183500, batch loss=0.291413, epoch loss=1.441469
Batch=419, step=4020, lr=0.183500, batch loss=0.290745, epoch loss=1.732213
Batch=479, step=4080, lr=0.183000, batch loss=0.259067, epoch loss=1.991281
Batch=539, step=4140, lr=0.182750, batch loss=0.196993, epoch loss=2.188274
Batch=599, step=4200, lr=0.182750, batch loss=0.232010, epoch loss=2.420284
Batch=659, step=4260, lr=0.182250, batch loss=0.337471, epoch loss=2.757755
Batch=719, step=4320, lr=0.182000, batch loss=0.346242, epoch loss=3.103997
Batch=779, step=4380, lr=0.182000, batch loss=0.347025, epoch loss=3.451022
Batch=839, step=4440, lr=0.181500, batch loss=0.318726, epoch loss=3.769748
Batch=899, step=4500, lr=0.181250, batch loss=0.285000, epoch loss=4.054748
Batch=959, step=4560, lr=0.181000, batch loss=0.215494, epoch loss=4.270242
Batch=1019, step=4620, lr=0.181000, batch loss=0.348742, epoch loss=4.618984
Batch=1079, step=4680, lr=0.180500, batch loss=0.212014, epoch loss=4.830998
Batch=1139, step=4740, lr=0.180500, batch loss=0.248273, epoch loss=5.079272
Batch=1199, step=4800, lr=0.180000, batch loss=0.191126, epoch loss=5.270398
Epoch=3, step=4800, lr=0.180000, epoch loss=5.270398
Batch=59, step=4860, lr=0.179750, batch loss=0.226648, epoch loss=0.226648
Batch=119, step=4920, lr=0.179500, batch loss=0.185808, epoch loss=0.412456
Batch=179, step=4980, lr=0.179250, batch loss=0.207928, epoch loss=0.620384
Batch=239, step=5040, lr=0.179000, batch loss=0.310696, epoch loss=0.931080
Batch=299, step=5100, lr=0.178750, batch loss=0.205838, epoch loss=1.136918
Batch=359, step=5160, lr=0.178500, batch loss=0.271569, epoch loss=1.408487
Batch=419, step=5220, lr=0.178250, batch loss=0.265307, epoch loss=1.673794
Batch=479, step=5280, lr=0.178250, batch loss=0.239379, epoch loss=1.913173
Batch=539, step=5340, lr=0.178000, batch loss=0.191164, epoch loss=2.104337
Batch=599, step=5400, lr=0.177750, batch loss=0.229110, epoch loss=2.333446
Batch=659, step=5460, lr=0.177500, batch loss=0.325064, epoch loss=2.658510
Batch=719, step=5520, lr=0.177250, batch loss=0.327294, epoch loss=2.985804
Batch=779, step=5580, lr=0.176750, batch loss=0.349504, epoch loss=3.335307
Batch=839, step=5640, lr=0.176750, batch loss=0.307283, epoch loss=3.642590
Batch=899, step=5700, lr=0.176250, batch loss=0.264524, epoch loss=3.907114
Batch=959, step=5760, lr=0.176000, batch loss=0.193446, epoch loss=4.100560
Batch=1019, step=5820, lr=0.175750, batch loss=0.309711, epoch loss=4.410272
Batch=1079, step=5880, lr=0.175500, batch loss=0.188472, epoch loss=4.598744
Batch=1139, step=5940, lr=0.175250, batch loss=0.225528, epoch loss=4.824272
Batch=1199, step=6000, lr=0.175000, batch loss=0.187865, epoch loss=5.012137
Epoch=4, step=6000, lr=0.175000, epoch loss=5.012137
Batch=59, step=6060, lr=0.175000, batch loss=0.238322, epoch loss=0.238322
Batch=119, step=6120, lr=0.174500, batch loss=0.190807, epoch loss=0.429129
Batch=179, step=6180, lr=0.174250, batch loss=0.201482, epoch loss=0.630612
Batch=239, step=6240, lr=0.174000, batch loss=0.302408, epoch loss=0.933019
Batch=299, step=6300, lr=0.173750, batch loss=0.212801, epoch loss=1.145820
Batch=359, step=6360, lr=0.173750, batch loss=0.274336, epoch loss=1.420156
Batch=419, step=6420, lr=0.173250, batch loss=0.268733, epoch loss=1.688889
Batch=479, step=6480, lr=0.173000, batch loss=0.242569, epoch loss=1.931458
Batch=539, step=6540, lr=0.172750, batch loss=0.197985, epoch loss=2.129444
Batch=599, step=6600, lr=0.172500, batch loss=0.239939, epoch loss=2.369382
Batch=659, step=6660, lr=0.172250, batch loss=0.315887, epoch loss=2.685269
Batch=719, step=6720, lr=0.172000, batch loss=0.318863, epoch loss=3.004132
Batch=779, step=6780, lr=0.171750, batch loss=0.332646, epoch loss=3.336778
Batch=839, step=6840, lr=0.171750, batch loss=0.308156, epoch loss=3.644934
Batch=899, step=6900, lr=0.171250, batch loss=0.269352, epoch loss=3.914286
Batch=959, step=6960, lr=0.171250, batch loss=0.209530, epoch loss=4.123815
Batch=1019, step=7020, lr=0.170750, batch loss=0.331101, epoch loss=4.454917
Batch=1079, step=7080, lr=0.170500, batch loss=0.180893, epoch loss=4.635810
Batch=1139, step=7140, lr=0.170500, batch loss=0.216945, epoch loss=4.852755
Batch=1199, step=7200, lr=0.170250, batch loss=0.183133, epoch loss=5.035889
Epoch=5, step=7200, lr=0.170250, epoch loss=5.035889
Batch=59, step=7260, lr=0.169750, batch loss=0.234575, epoch loss=0.234575
Batch=119, step=7320, lr=0.169500, batch loss=0.184422, epoch loss=0.418996
Batch=179, step=7380, lr=0.169500, batch loss=0.197208, epoch loss=0.616204
Batch=239, step=7440, lr=0.169000, batch loss=0.295566, epoch loss=0.911771
Batch=299, step=7500, lr=0.169000, batch loss=0.204768, epoch loss=1.116538
Batch=359, step=7560, lr=0.168500, batch loss=0.264717, epoch loss=1.381255
Batch=419, step=7620, lr=0.168250, batch loss=0.259406, epoch loss=1.640661
Batch=479, step=7680, lr=0.168250, batch loss=0.236281, epoch loss=1.876942
Batch=539, step=7740, lr=0.167750, batch loss=0.190114, epoch loss=2.067056
Batch=599, step=7800, lr=0.167500, batch loss=0.230181, epoch loss=2.297237
Batch=659, step=7860, lr=0.167250, batch loss=0.305081, epoch loss=2.602317
Batch=719, step=7920, lr=0.167250, batch loss=0.306108, epoch loss=2.908426
Batch=779, step=7980, lr=0.166750, batch loss=0.326565, epoch loss=3.234990
Batch=839, step=8040, lr=0.166750, batch loss=0.295012, epoch loss=3.530002
Batch=899, step=8100, lr=0.166500, batch loss=0.261854, epoch loss=3.791856
Batch=959, step=8160, lr=0.166000, batch loss=0.203723, epoch loss=3.995580
Batch=1019, step=8220, lr=0.165750, batch loss=0.317980, epoch loss=4.313560
Batch=1079, step=8280, lr=0.165750, batch loss=0.168912, epoch loss=4.482472
Batch=1139, step=8340, lr=0.165500, batch loss=0.205879, epoch loss=4.688350
Batch=1199, step=8400, lr=0.165000, batch loss=0.185393, epoch loss=4.873743
Epoch=6, step=8400, lr=0.165000, epoch loss=4.873743
Batch=59, step=8460, lr=0.164750, batch loss=0.216487, epoch loss=0.216487
Batch=119, step=8520, lr=0.164750, batch loss=0.185447, epoch loss=0.401934
Batch=179, step=8580, lr=0.164250, batch loss=0.188923, epoch loss=0.590857
Batch=239, step=8640, lr=0.164000, batch loss=0.280513, epoch loss=0.871370
Batch=299, step=8700, lr=0.164000, batch loss=0.192104, epoch loss=1.063474
Batch=359, step=8760, lr=0.163500, batch loss=0.249940, epoch loss=1.313414
Batch=419, step=8820, lr=0.163250, batch loss=0.245641, epoch loss=1.559055
Batch=479, step=8880, lr=0.163250, batch loss=0.228935, epoch loss=1.787989
Batch=539, step=8940, lr=0.162750, batch loss=0.179975, epoch loss=1.967964
Batch=599, step=9000, lr=0.162750, batch loss=0.217316, epoch loss=2.185280
Batch=659, step=9060, lr=0.162500, batch loss=0.295916, epoch loss=2.481197
Batch=719, step=9120, lr=0.162000, batch loss=0.298588, epoch loss=2.779784
Batch=779, step=9180, lr=0.161750, batch loss=0.317062, epoch loss=3.096847
Batch=839, step=9240, lr=0.161500, batch loss=0.280757, epoch loss=3.377604
Batch=899, step=9300, lr=0.161500, batch loss=0.254246, epoch loss=3.631850
Batch=959, step=9360, lr=0.161000, batch loss=0.209325, epoch loss=3.841175
Batch=1019, step=9420, lr=0.161000, batch loss=0.299621, epoch loss=4.140796
Batch=1079, step=9480, lr=0.160750, batch loss=0.169283, epoch loss=4.310079
Batch=1139, step=9540, lr=0.160500, batch loss=0.201504, epoch loss=4.511583
Batch=1199, step=9600, lr=0.160000, batch loss=0.164654, epoch loss=4.676237
Epoch=7, step=9600, lr=0.160000, epoch loss=4.676237
Batch=59, step=9660, lr=0.159750, batch loss=0.189250, epoch loss=0.189250
Batch=119, step=9720, lr=0.159750, batch loss=0.159594, epoch loss=0.348844
Batch=179, step=9780, lr=0.159250, batch loss=0.179689, epoch loss=0.528534
Batch=239, step=9840, lr=0.159000, batch loss=0.265555, epoch loss=0.794089
Batch=299, step=9900, lr=0.158750, batch loss=0.186793, epoch loss=0.980882
Batch=359, step=9960, lr=0.158750, batch loss=0.241953, epoch loss=1.222835
Batch=419, step=10020, lr=0.158500, batch loss=0.232829, epoch loss=1.455665
Batch=479, step=10080, lr=0.158000, batch loss=0.215402, epoch loss=1.671067
Batch=539, step=10140, lr=0.158000, batch loss=0.170355, epoch loss=1.841422
Batch=599, step=10200, lr=0.157750, batch loss=0.203620, epoch loss=2.045041
Batch=659, step=10260, lr=0.157250, batch loss=0.282094, epoch loss=2.327135
Batch=719, step=10320, lr=0.157250, batch loss=0.278627, epoch loss=2.605762
Batch=779, step=10380, lr=0.157000, batch loss=0.300059, epoch loss=2.905820
Batch=839, step=10440, lr=0.156750, batch loss=0.271801, epoch loss=3.177621
Batch=899, step=10500, lr=0.156500, batch loss=0.239287, epoch loss=3.416908
Batch=959, step=10560, lr=0.156250, batch loss=0.199781, epoch loss=3.616688
Batch=1019, step=10620, lr=0.155750, batch loss=0.281090, epoch loss=3.897779
Batch=1079, step=10680, lr=0.155500, batch loss=0.172631, epoch loss=4.070409
Batch=1139, step=10740, lr=0.155250, batch loss=0.204937, epoch loss=4.275346
Batch=1199, step=10800, lr=0.155250, batch loss=0.155716, epoch loss=4.431062
Epoch=8, step=10800, lr=0.155250, epoch loss=4.431062
Batch=59, step=10860, lr=0.155000, batch loss=0.181480, epoch loss=0.181480
Batch=119, step=10920, lr=0.154750, batch loss=0.150618, epoch loss=0.332099
Batch=179, step=10980, lr=0.154500, batch loss=0.167495, epoch loss=0.499594
Batch=239, step=11040, lr=0.154000, batch loss=0.245278, epoch loss=0.744872
Batch=299, step=11100, lr=0.154000, batch loss=0.164990, epoch loss=0.909862
Batch=359, step=11160, lr=0.153750, batch loss=0.226169, epoch loss=1.136031
Batch=419, step=11220, lr=0.153500, batch loss=0.226518, epoch loss=1.362549
Batch=479, step=11280, lr=0.153000, batch loss=0.206933, epoch loss=1.569482
Batch=539, step=11340, lr=0.152750, batch loss=0.163756, epoch loss=1.733238
Batch=599, step=11400, lr=0.152500, batch loss=0.180981, epoch loss=1.914219
Batch=659, step=11460, lr=0.152500, batch loss=0.264033, epoch loss=2.178252
Batch=719, step=11520, lr=0.152000, batch loss=0.260537, epoch loss=2.438789
Batch=779, step=11580, lr=0.152000, batch loss=0.272253, epoch loss=2.711042
Batch=839, step=11640, lr=0.151500, batch loss=0.257334, epoch loss=2.968377
Batch=899, step=11700, lr=0.151500, batch loss=0.217639, epoch loss=3.186015
Batch=959, step=11760, lr=0.151250, batch loss=0.173535, epoch loss=3.359550
Batch=1019, step=11820, lr=0.150750, batch loss=0.262090, epoch loss=3.621640
Batch=1079, step=11880, lr=0.150750, batch loss=0.143276, epoch loss=3.764916
Batch=1139, step=11940, lr=0.150500, batch loss=0.182467, epoch loss=3.947383
Batch=1199, step=12000, lr=0.150000, batch loss=0.139778, epoch loss=4.087161
Epoch=9, step=12000, lr=0.150000, epoch loss=4.087161
Batch=59, step=12060, lr=0.150000, batch loss=0.160983, epoch loss=0.160983
Batch=119, step=12120, lr=0.149750, batch loss=0.138182, epoch loss=0.299166
Batch=179, step=12180, lr=0.149250, batch loss=0.151597, epoch loss=0.450763
Batch=239, step=12240, lr=0.149250, batch loss=0.220198, epoch loss=0.670961
Batch=299, step=12300, lr=0.148750, batch loss=0.143471, epoch loss=0.814432
Batch=359, step=12360, lr=0.148500, batch loss=0.199207, epoch loss=1.013639
Batch=419, step=12420, lr=0.148250, batch loss=0.207436, epoch loss=1.221075
Batch=479, step=12480, lr=0.148000, batch loss=0.179231, epoch loss=1.400306
Batch=539, step=12540, lr=0.147750, batch loss=0.143026, epoch loss=1.543331
Batch=599, step=12600, lr=0.147500, batch loss=0.149366, epoch loss=1.692698
Batch=659, step=12660, lr=0.147500, batch loss=0.227761, epoch loss=1.920459
Batch=719, step=12720, lr=0.147250, batch loss=0.237073, epoch loss=2.157532
Batch=779, step=12780, lr=0.146750, batch loss=0.265771, epoch loss=2.423303
Batch=839, step=12840, lr=0.146500, batch loss=0.235353, epoch loss=2.658656
Batch=899, step=12900, lr=0.146250, batch loss=0.204797, epoch loss=2.863453
Batch=959, step=12960, lr=0.146250, batch loss=0.147251, epoch loss=3.010704
Batch=1019, step=13020, lr=0.145750, batch loss=0.257534, epoch loss=3.268238
Batch=1079, step=13080, lr=0.145500, batch loss=0.120589, epoch loss=3.388827
Batch=1139, step=13140, lr=0.145250, batch loss=0.160210, epoch loss=3.549037
Batch=1199, step=13200, lr=0.145000, batch loss=0.119645, epoch loss=3.668682
Epoch=10, step=13200, lr=0.145000, epoch loss=3.668682
Batch=59, step=13260, lr=0.144750, batch loss=0.140369, epoch loss=0.140369
Batch=119, step=13320, lr=0.144500, batch loss=0.123704, epoch loss=0.264074
Batch=179, step=13380, lr=0.144250, batch loss=0.129113, epoch loss=0.393187
Batch=239, step=13440, lr=0.144250, batch loss=0.193375, epoch loss=0.586562
Batch=299, step=13500, lr=0.143750, batch loss=0.118178, epoch loss=0.704740
Batch=359, step=13560, lr=0.143500, batch loss=0.164993, epoch loss=0.869732
Batch=419, step=13620, lr=0.143250, batch loss=0.168902, epoch loss=1.038635
Batch=479, step=13680, lr=0.143250, batch loss=0.149839, epoch loss=1.188474
Batch=539, step=13740, lr=0.143000, batch loss=0.117897, epoch loss=1.306371
Batch=599, step=13800, lr=0.142500, batch loss=0.121061, epoch loss=1.427431
Batch=659, step=13860, lr=0.142250, batch loss=0.178213, epoch loss=1.605644
Batch=719, step=13920, lr=0.142000, batch loss=0.173654, epoch loss=1.779299
Batch=779, step=13980, lr=0.142000, batch loss=0.180798, epoch loss=1.960096
Batch=839, step=14040, lr=0.141500, batch loss=0.205729, epoch loss=2.165825
Batch=899, step=14100, lr=0.141250, batch loss=0.224662, epoch loss=2.390487
Batch=959, step=14160, lr=0.141000, batch loss=0.106742, epoch loss=2.497229
Batch=1019, step=14220, lr=0.140750, batch loss=0.193194, epoch loss=2.690423
Batch=1079, step=14280, lr=0.140500, batch loss=0.082592, epoch loss=2.773015
Batch=1139, step=14340, lr=0.140500, batch loss=0.128114, epoch loss=2.901129
Batch=1199, step=14400, lr=0.140000, batch loss=0.087166, epoch loss=2.988294
Epoch=11, step=14400, lr=0.140000, epoch loss=2.988294
Batch=59, step=14460, lr=0.139750, batch loss=0.106270, epoch loss=0.106270
Batch=119, step=14520, lr=0.139750, batch loss=0.106898, epoch loss=0.213167
Batch=179, step=14580, lr=0.139500, batch loss=0.101881, epoch loss=0.315048
Batch=239, step=14640, lr=0.139000, batch loss=0.143698, epoch loss=0.458746
Batch=299, step=14700, lr=0.139000, batch loss=0.076592, epoch loss=0.535338
Batch=359, step=14760, lr=0.138750, batch loss=0.122149, epoch loss=0.657487
Batch=419, step=14820, lr=0.138500, batch loss=0.130962, epoch loss=0.788449
Batch=479, step=14880, lr=0.138250, batch loss=0.104188, epoch loss=0.892638
Batch=539, step=14940, lr=0.138000, batch loss=0.109107, epoch loss=1.001745
Batch=599, step=15000, lr=0.137500, batch loss=0.084657, epoch loss=1.086402
Batch=659, step=15060, lr=0.137250, batch loss=0.128131, epoch loss=1.214533
Batch=719, step=15120, lr=0.137250, batch loss=0.130057, epoch loss=1.344589
Batch=779, step=15180, lr=0.137000, batch loss=0.169302, epoch loss=1.513891
Batch=839, step=15240, lr=0.136750, batch loss=0.168836, epoch loss=1.682727
Batch=899, step=15300, lr=0.136500, batch loss=0.293647, epoch loss=1.976374
Batch=959, step=15360, lr=0.136250, batch loss=0.059292, epoch loss=2.035666
Batch=1019, step=15420, lr=0.136000, batch loss=0.139571, epoch loss=2.175237
Batch=1079, step=15480, lr=0.135500, batch loss=0.040839, epoch loss=2.216075
Batch=1139, step=15540, lr=0.135250, batch loss=0.096354, epoch loss=2.312429
Batch=1199, step=15600, lr=0.135250, batch loss=0.061144, epoch loss=2.373573
Epoch=12, step=15600, lr=0.135250, epoch loss=2.373573
Batch=59, step=15660, lr=0.134750, batch loss=0.088960, epoch loss=0.088960
Batch=119, step=15720, lr=0.134750, batch loss=0.140586, epoch loss=0.229546
Batch=179, step=15780, lr=0.134250, batch loss=0.101821, epoch loss=0.331367
Batch=239, step=15840, lr=0.134000, batch loss=0.100913, epoch loss=0.432280
Batch=299, step=15900, lr=0.133750, batch loss=0.044900, epoch loss=0.477181
Batch=359, step=15960, lr=0.133750, batch loss=0.083101, epoch loss=0.560281
Batch=419, step=16020, lr=0.133500, batch loss=0.079446, epoch loss=0.639727
Batch=479, step=16080, lr=0.133000, batch loss=0.055493, epoch loss=0.695221
Batch=539, step=16140, lr=0.132750, batch loss=0.077778, epoch loss=0.772999
Batch=599, step=16200, lr=0.132750, batch loss=0.174352, epoch loss=0.947351
Batch=659, step=16260, lr=0.132250, batch loss=0.100948, epoch loss=1.048299
Batch=719, step=16320, lr=0.132250, batch loss=0.119845, epoch loss=1.168144
Batch=779, step=16380, lr=0.131750, batch loss=0.268265, epoch loss=1.436409
Batch=839, step=16440, lr=0.131500, batch loss=0.090343, epoch loss=1.526751
Batch=899, step=16500, lr=0.131500, batch loss=0.075427, epoch loss=1.602178
Batch=959, step=16560, lr=0.131250, batch loss=0.031488, epoch loss=1.633666
Batch=1019, step=16620, lr=0.131000, batch loss=0.070173, epoch loss=1.703840
Batch=1079, step=16680, lr=0.130750, batch loss=0.045064, epoch loss=1.748904
Batch=1139, step=16740, lr=0.130250, batch loss=0.078643, epoch loss=1.827547
Batch=1199, step=16800, lr=0.130000, batch loss=0.034848, epoch loss=1.862395
Epoch=13, step=16800, lr=0.130000, epoch loss=1.862395
Batch=59, step=16860, lr=0.129750, batch loss=0.037089, epoch loss=0.037089
Batch=119, step=16920, lr=0.129500, batch loss=0.040121, epoch loss=0.077210
Batch=179, step=16980, lr=0.129500, batch loss=0.044102, epoch loss=0.121312
Batch=239, step=17040, lr=0.129000, batch loss=0.060726, epoch loss=0.182037
Batch=299, step=17100, lr=0.128750, batch loss=0.024308, epoch loss=0.206346
Batch=359, step=17160, lr=0.128500, batch loss=0.056052, epoch loss=0.262398
Batch=419, step=17220, lr=0.128250, batch loss=0.103770, epoch loss=0.366168
Batch=479, step=17280, lr=0.128250, batch loss=0.023909, epoch loss=0.390077
Batch=539, step=17340, lr=0.127750, batch loss=0.028666, epoch loss=0.418743
Batch=599, step=17400, lr=0.127500, batch loss=0.037427, epoch loss=0.456170
Batch=659, step=17460, lr=0.127250, batch loss=0.047028, epoch loss=0.503197
Batch=719, step=17520, lr=0.127000, batch loss=0.042085, epoch loss=0.545282
Batch=779, step=17580, lr=0.127000, batch loss=0.051611, epoch loss=0.596893
Batch=839, step=17640, lr=0.126500, batch loss=0.096225, epoch loss=0.693118
Batch=899, step=17700, lr=0.126250, batch loss=0.123382, epoch loss=0.816500
Batch=959, step=17760, lr=0.126000, batch loss=0.038650, epoch loss=0.855150
Batch=1019, step=17820, lr=0.125750, batch loss=0.080530, epoch loss=0.935681
Batch=1079, step=17880, lr=0.125500, batch loss=0.017557, epoch loss=0.953238
Batch=1139, step=17940, lr=0.125250, batch loss=0.031132, epoch loss=0.984370
Batch=1199, step=18000, lr=0.125250, batch loss=0.016075, epoch loss=1.000445
Epoch=14, step=18000, lr=0.125250, epoch loss=1.000445
Batch=59, step=18060, lr=0.124750, batch loss=0.013313, epoch loss=0.013313
Batch=119, step=18120, lr=0.124500, batch loss=0.020116, epoch loss=0.033429
Batch=179, step=18180, lr=0.124500, batch loss=0.034385, epoch loss=0.067813
Batch=239, step=18240, lr=0.124000, batch loss=0.038912, epoch loss=0.106725
Batch=299, step=18300, lr=0.123750, batch loss=0.015838, epoch loss=0.122563
Batch=359, step=18360, lr=0.123500, batch loss=0.024521, epoch loss=0.147084
Batch=419, step=18420, lr=0.123500, batch loss=0.027550, epoch loss=0.174633
Batch=479, step=18480, lr=0.123000, batch loss=0.021702, epoch loss=0.196335
Batch=539, step=18540, lr=0.123000, batch loss=0.044573, epoch loss=0.240908
Batch=599, step=18600, lr=0.122500, batch loss=0.026351, epoch loss=0.267260
Batch=659, step=18660, lr=0.122500, batch loss=0.037053, epoch loss=0.304312
Batch=719, step=18720, lr=0.122000, batch loss=0.032164, epoch loss=0.336476
Batch=779, step=18780, lr=0.122000, batch loss=0.090091, epoch loss=0.426567
Batch=839, step=18840, lr=0.121500, batch loss=0.076465, epoch loss=0.503032
Batch=899, step=18900, lr=0.121500, batch loss=0.110621, epoch loss=0.613653
Batch=959, step=18960, lr=0.121000, batch loss=0.015480, epoch loss=0.629133
Batch=1019, step=19020, lr=0.121000, batch loss=0.024062, epoch loss=0.653195
Batch=1079, step=19080, lr=0.120500, batch loss=0.004280, epoch loss=0.657475
Batch=1139, step=19140, lr=0.120250, batch loss=0.020941, epoch loss=0.678416
Batch=1199, step=19200, lr=0.120000, batch loss=0.009740, epoch loss=0.688156
Epoch=15, step=19200, lr=0.120000, epoch loss=0.688156
Batch=59, step=19260, lr=0.119750, batch loss=0.004604, epoch loss=0.004604
Batch=119, step=19320, lr=0.119500, batch loss=0.011304, epoch loss=0.015908
Batch=179, step=19380, lr=0.119500, batch loss=0.019644, epoch loss=0.035552
Batch=239, step=19440, lr=0.119000, batch loss=0.020124, epoch loss=0.055677
Batch=299, step=19500, lr=0.119000, batch loss=0.004801, epoch loss=0.060477
Batch=359, step=19560, lr=0.118750, batch loss=0.017125, epoch loss=0.077603
Batch=419, step=19620, lr=0.118250, batch loss=0.020509, epoch loss=0.098112
Batch=479, step=19680, lr=0.118250, batch loss=0.006878, epoch loss=0.104990
Batch=539, step=19740, lr=0.117750, batch loss=0.017522, epoch loss=0.122512
Batch=599, step=19800, lr=0.117750, batch loss=0.022326, epoch loss=0.144839
Batch=659, step=19860, lr=0.117250, batch loss=0.017640, epoch loss=0.162478
Batch=719, step=19920, lr=0.117250, batch loss=0.038946, epoch loss=0.201424
Batch=779, step=19980, lr=0.117000, batch loss=0.078147, epoch loss=0.279571
Batch=839, step=20040, lr=0.116750, batch loss=0.030639, epoch loss=0.310210
Batch=899, step=20100, lr=0.116500, batch loss=0.028476, epoch loss=0.338686
Batch=959, step=20160, lr=0.116000, batch loss=0.017525, epoch loss=0.356212
Batch=1019, step=20220, lr=0.116000, batch loss=0.024361, epoch loss=0.380572
Batch=1079, step=20280, lr=0.115500, batch loss=0.002465, epoch loss=0.383037
Batch=1139, step=20340, lr=0.115250, batch loss=0.014484, epoch loss=0.397522
Batch=1199, step=20400, lr=0.115000, batch loss=0.005940, epoch loss=0.403462
Epoch=16, step=20400, lr=0.115000, epoch loss=0.403462
Batch=59, step=20460, lr=0.114750, batch loss=0.002895, epoch loss=0.002895
Batch=119, step=20520, lr=0.114750, batch loss=0.009394, epoch loss=0.012289
Batch=179, step=20580, lr=0.114500, batch loss=0.022442, epoch loss=0.034731
Batch=239, step=20640, lr=0.114000, batch loss=0.016221, epoch loss=0.050952
Batch=299, step=20700, lr=0.114000, batch loss=0.006153, epoch loss=0.057106
Batch=359, step=20760, lr=0.113500, batch loss=0.012897, epoch loss=0.070003
Batch=419, step=20820, lr=0.113250, batch loss=0.015911, epoch loss=0.085913
Batch=479, step=20880, lr=0.113250, batch loss=0.006956, epoch loss=0.092869
Batch=539, step=20940, lr=0.113000, batch loss=0.014929, epoch loss=0.107799
Batch=599, step=21000, lr=0.112500, batch loss=0.018903, epoch loss=0.126702
Batch=659, step=21060, lr=0.112500, batch loss=0.015227, epoch loss=0.141929
Batch=719, step=21120, lr=0.112250, batch loss=0.038449, epoch loss=0.180378
Batch=779, step=21180, lr=0.111750, batch loss=0.073581, epoch loss=0.253959
Batch=839, step=21240, lr=0.111500, batch loss=0.026096, epoch loss=0.280055
Batch=899, step=21300, lr=0.111500, batch loss=0.035525, epoch loss=0.315579
Batch=959, step=21360, lr=0.111250, batch loss=0.009783, epoch loss=0.325363
Batch=1019, step=21420, lr=0.110750, batch loss=0.010727, epoch loss=0.336090
Batch=1079, step=21480, lr=0.110750, batch loss=0.001475, epoch loss=0.337565
Batch=1139, step=21540, lr=0.110250, batch loss=0.012785, epoch loss=0.350351
Batch=1199, step=21600, lr=0.110250, batch loss=0.005424, epoch loss=0.355775
Epoch=17, step=21600, lr=0.110250, epoch loss=0.355775
Batch=59, step=21660, lr=0.110000, batch loss=0.002437, epoch loss=0.002437
Batch=119, step=21720, lr=0.109750, batch loss=0.006329, epoch loss=0.008766
Batch=179, step=21780, lr=0.109250, batch loss=0.012552, epoch loss=0.021318
Batch=239, step=21840, lr=0.109000, batch loss=0.009184, epoch loss=0.030502
Batch=299, step=21900, lr=0.109000, batch loss=0.003045, epoch loss=0.033547
Batch=359, step=21960, lr=0.108500, batch loss=0.015405, epoch loss=0.048953
Batch=419, step=22020, lr=0.108500, batch loss=0.011991, epoch loss=0.060944
Batch=479, step=22080, lr=0.108250, batch loss=0.002677, epoch loss=0.063621
Batch=539, step=22140, lr=0.107750, batch loss=0.017413, epoch loss=0.081034
Batch=599, step=22200, lr=0.107750, batch loss=0.016994, epoch loss=0.098028
Batch=659, step=22260, lr=0.107500, batch loss=0.014212, epoch loss=0.112240
Batch=719, step=22320, lr=0.107000, batch loss=0.026234, epoch loss=0.138473
Batch=779, step=22380, lr=0.107000, batch loss=0.042371, epoch loss=0.180845
Batch=839, step=22440, lr=0.106750, batch loss=0.021941, epoch loss=0.202786
Batch=899, step=22500, lr=0.106500, batch loss=0.022587, epoch loss=0.225372
Batch=959, step=22560, lr=0.106000, batch loss=0.010977, epoch loss=0.236350
Batch=1019, step=22620, lr=0.105750, batch loss=0.009056, epoch loss=0.245406
Batch=1079, step=22680, lr=0.105500, batch loss=0.000099, epoch loss=0.245505
Batch=1139, step=22740, lr=0.105500, batch loss=0.010172, epoch loss=0.255677
Batch=1199, step=22800, lr=0.105250, batch loss=0.004659, epoch loss=0.260336
Epoch=18, step=22800, lr=0.105250, epoch loss=0.260336
Batch=59, step=22860, lr=0.105000, batch loss=0.001763, epoch loss=0.001763
Batch=119, step=22920, lr=0.104500, batch loss=0.005535, epoch loss=0.007298
Batch=179, step=22980, lr=0.104250, batch loss=0.010633, epoch loss=0.017931
Batch=239, step=23040, lr=0.104000, batch loss=0.011244, epoch loss=0.029175
Batch=299, step=23100, lr=0.104000, batch loss=0.007796, epoch loss=0.036971
Batch=359, step=23160, lr=0.103500, batch loss=0.010995, epoch loss=0.047965
Batch=419, step=23220, lr=0.103500, batch loss=0.010655, epoch loss=0.058621
Batch=479, step=23280, lr=0.103000, batch loss=0.002500, epoch loss=0.061121
Batch=539, step=23340, lr=0.102750, batch loss=0.017241, epoch loss=0.078362
Batch=599, step=23400, lr=0.102750, batch loss=0.013830, epoch loss=0.092192
Batch=659, step=23460, lr=0.102250, batch loss=0.010236, epoch loss=0.102427
Batch=719, step=23520, lr=0.102250, batch loss=0.013702, epoch loss=0.116129
Batch=779, step=23580, lr=0.101750, batch loss=0.022034, epoch loss=0.138163
Batch=839, step=23640, lr=0.101500, batch loss=0.027770, epoch loss=0.165933
Batch=899, step=23700, lr=0.101500, batch loss=0.021763, epoch loss=0.187696
Batch=959, step=23760, lr=0.101000, batch loss=0.009945, epoch loss=0.197641
Batch=1019, step=23820, lr=0.100750, batch loss=0.007138, epoch loss=0.204779
Batch=1079, step=23880, lr=0.100500, batch loss=0.001141, epoch loss=0.205920
Batch=1139, step=23940, lr=0.100500, batch loss=0.008657, epoch loss=0.214578
Batch=1199, step=24000, lr=0.100250, batch loss=0.004587, epoch loss=0.219164
Epoch=19, step=24000, lr=0.100250, epoch loss=0.219164


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-09 14:38.16 ---> saved as "2f288e1cafc0b2bf1cd1c884c91396612b50093c0abe8198df2528914681ee83"
Job succeeded
2025-05-09 14:38.16: Job succeeded