opensuse-15.6-5.3_opam-2.3

2025-05-19 16:39.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (33efa3b22f0833f85bad4a3f7df8cc8ab9e57b82) (linux-x86_64:opensuse-15.6-5.3_opam-2.3)
Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 33efa3b2
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
# opensuse-15.6-5.3_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 pprint.20230830 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


2025-05-19 16:39.10: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-19 16:39.10: Using OBuilder spec:
((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600)
(comment opensuse-15.6-5.3_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 pprint.20230830 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"))
)


2025-05-19 16:39.10: Waiting for resource in pool OCluster
2025-05-19 16:39.10: Waiting for worker…
2025-05-19 16:39.28: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
HEAD is now at 1d270160 Workaround for Metal logging crashes, with `prefer_backend_uniformity` to make it compatible for testing
HEAD is now at 33efa3b2 Prepare for release Remaining: CUDA regressions


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600)
2025-05-19 16:39.32 ---> using "e2985c4688e78c185fe5effed79d132da1434e7bdd40f94bb99436d3b96690ce" from cache


/: (comment opensuse-15.6-5.3_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"))
2025-05-19 16:39.32 ---> using "50434b1af48c812e5b8b97b6a092abb9dd6da5001ea1c138b231ba3655932e87" 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
2025-05-19 16:39.32 ---> using "7cefc43bb115418c0e97b1444415cc019594bb8990b6e1f2ed0a436414564ab1" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-19 16:39.32 ---> using "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-19 16:39.32 ---> using "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" 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
35eb2f107a..55711315d0  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)
2025-05-19 16:39.32 ---> using "2415ab7306ec3082b4f1ed0abb02fca4f313d14995e38483342aed5820bf69c6" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-19 16:39.32 ---> using "9c333ad6cbd8875aaf28d562f21391898615111b2c367a68d94df04e31026b19" 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)
2025-05-19 16:39.32 ---> using "484dda58dd65cc7b9cb1a2ddd17d943f9f5fd794c60722f21f425d2a05144215" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-19 16:39.32 ---> using "abad4a5f5a5311945dfe30bc5d5916e2396212a16a9bd725432f85f326e51941" 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 pprint.20230830 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 "zypper" "--non-interactive" "refresh"
- Retrieving repository 'Update repository of openSUSE Backports' metadata [......
- ........done]
- Building repository 'Update repository of openSUSE Backports' cache [..
- ..done]
- Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [......
- ..........
- ..........
- ........
- .done]
- Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [..
- ..done]
- Repository 'Main Update Repository' is up to date.
- Repository 'Update Repository (Non-Oss)' is up to date.
- Repository 'Non-OSS Repository' is up to date.
- Repository 'Main Repository' is up to date.
- All repositories have been refreshed.


<><> 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-devel


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


+ /usr/bin/sudo "zypper" "--non-interactive" "install" "libffi-devel"
- Loading repository data...
- Reading installed packages...
- Resolving package dependencies...
- 
- The following NEW package is going to be installed:
-   libffi-devel
- 
- 1 new package to install.
- 
- Package download size:    26.7 KiB
- 
- Package install size change:
-               |      29.1 KiB  required by packages that will be installed
-     29.1 KiB  |  -      0 B    released by packages that will be removed
- 
- Backend:  classic_rpmtrans
- Continue? [y/n/v/...? shows all options] (y): y
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64 (Main Repository) (1/1),  26.7 KiB
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64.rpm [..done (21.9 KiB/s)]
- 
- Checking for file conflicts: [..done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done]
2025-05-19 16:39.32 ---> using "758a7d0839f6f4ea4bad56586469cc59b819e060347fb89eec3741cce7c4642f" 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 75 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 pprint                  20230830
- 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 bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.2  (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 jane-street-headers.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved pprint.20230830  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved 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 ppxlib.0.35.0  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uucp.16.0.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> 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 astring.0.8.5
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> 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 multicore-magic.2.3.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> 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 dune-configurator.3.18.2
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed base.v0.17.2
-> installed printbox-text.0.12
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed printbox-md.0.12
-> installed stdio.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-19 16:44.28 ---> saved as "0dea2035accc1a2c031c7f51ae64a029140d50c94c40940ebb9998bb8cf04db8"


/src: (copy (src .) (dst /src))
2025-05-19 16:44.29 ---> saved as "782196562211882e5daedb9808341be57dff72608ebf797e34adc9abebfdfad7"


/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/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6f7688692d00c48b3f648495f17bb2d0/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 19-29, characters 0-281:
19 | (rule
20 |  (alias runtest)
21 |  (target
22 |   (dir log_files))
23 |  (action
24 |   (run
25 |    %{dep:micrograd_demo_logging.exe}
26 |    "--ocannl_debug_backend=text"
27 |    "--ocannl_log_file_stem=micrograd_demo_logging"
28 |    "--ocannl_log_main_domain_to_stdout=false"
29 |    "--ocannl_debug_log_to_stream_files=true")))
(cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true)


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
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_cd_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Found true, commandline --ocannl_debug_log_to_stream_files=true
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
Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed
Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64
Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31
Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59
Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38
Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82
Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92
Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92
Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f6e721682901be5ba54831d838231bbe/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/f6e721682901be5ba54831d838231bbe/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
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Not found, using default false
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199000, batch loss=0.845226, epoch loss=35.615435
Batch=299, step=300, lr=0.199000, batch loss=1.456835, epoch loss=37.072270
Batch=359, step=360, lr=0.198500, batch loss=1.326921, epoch loss=38.399190
Batch=419, step=420, lr=0.198250, batch loss=0.620968, epoch loss=39.020158
Batch=479, step=480, lr=0.198250, batch loss=0.818032, epoch loss=39.838191
Batch=539, step=540, lr=0.198000, batch loss=0.698124, epoch loss=40.536315
Batch=599, step=600, lr=0.197500, batch loss=1.058931, epoch loss=41.595246
Batch=659, step=660, lr=0.197250, batch loss=0.484707, epoch loss=42.079953
Batch=719, step=720, lr=0.197000, batch loss=0.412465, epoch loss=42.492418
Batch=779, step=780, lr=0.196750, batch loss=0.472183, epoch loss=42.964601
Batch=839, step=840, lr=0.196500, batch loss=0.448857, epoch loss=43.413458
Batch=899, step=900, lr=0.196250, batch loss=0.387601, epoch loss=43.801060
Batch=959, step=960, lr=0.196250, batch loss=0.252860, epoch loss=44.053920
Batch=1019, step=1020, lr=0.195750, batch loss=0.478563, epoch loss=44.532483
Batch=1079, step=1080, lr=0.195500, batch loss=0.261243, epoch loss=44.793727
Batch=1139, step=1140, lr=0.195250, batch loss=0.341912, epoch loss=45.135639
Batch=1199, step=1200, lr=0.195000, batch loss=0.265801, epoch loss=45.401440
Epoch=0, step=1200, lr=0.195000, epoch loss=45.401440
Batch=59, step=1260, lr=0.194750, batch loss=0.265225, epoch loss=0.265225
Batch=119, step=1320, lr=0.194500, batch loss=0.203800, epoch loss=0.469025
Batch=179, step=1380, lr=0.194500, batch loss=0.246777, epoch loss=0.715802
Batch=239, step=1440, lr=0.194000, batch loss=0.348739, epoch loss=1.064541
Batch=299, step=1500, lr=0.194000, batch loss=0.241854, epoch loss=1.306395
Batch=359, step=1560, lr=0.193750, batch loss=0.314812, epoch loss=1.621207
Batch=419, step=1620, lr=0.193500, batch loss=0.311141, epoch loss=1.932348
Batch=479, step=1680, lr=0.193250, batch loss=0.275850, epoch loss=2.208199
Batch=539, step=1740, lr=0.192750, batch loss=0.211803, epoch loss=2.420002
Batch=599, step=1800, lr=0.192750, batch loss=0.259952, epoch loss=2.679954
Batch=659, step=1860, lr=0.192500, batch loss=0.377779, epoch loss=3.057733
Batch=719, step=1920, lr=0.192250, batch loss=0.359781, epoch loss=3.417514
Batch=779, step=1980, lr=0.192000, batch loss=0.387393, epoch loss=3.804907
Batch=839, step=2040, lr=0.191750, batch loss=0.348832, epoch loss=4.153739
Batch=899, step=2100, lr=0.191500, batch loss=0.325918, epoch loss=4.479657
Batch=959, step=2160, lr=0.191250, batch loss=0.251965, epoch loss=4.731622
Batch=1019, step=2220, lr=0.191000, batch loss=0.387970, epoch loss=5.119592
Batch=1079, step=2280, lr=0.190750, batch loss=0.206877, epoch loss=5.326469
Batch=1139, step=2340, lr=0.190500, batch loss=0.258950, epoch loss=5.585419
Batch=1199, step=2400, lr=0.190250, batch loss=0.212546, epoch loss=5.797965
Epoch=1, step=2400, lr=0.190250, epoch loss=5.797965
Batch=59, step=2460, lr=0.190000, batch loss=0.235260, epoch loss=0.235260
Batch=119, step=2520, lr=0.189500, batch loss=0.196190, epoch loss=0.431450
Batch=179, step=2580, lr=0.189250, batch loss=0.222018, epoch loss=0.653468
Batch=239, step=2640, lr=0.189000, batch loss=0.329542, epoch loss=0.983011
Batch=299, step=2700, lr=0.188750, batch loss=0.207991, epoch loss=1.191001
Batch=359, step=2760, lr=0.188750, batch loss=0.291387, epoch loss=1.482388
Batch=419, step=2820, lr=0.188500, batch loss=0.283186, epoch loss=1.765574
Batch=479, step=2880, lr=0.188250, batch loss=0.262707, epoch loss=2.028281
Batch=539, step=2940, lr=0.188000, batch loss=0.198895, epoch loss=2.227176
Batch=599, step=3000, lr=0.187750, batch loss=0.238597, epoch loss=2.465773
Batch=659, step=3060, lr=0.187500, batch loss=0.343049, epoch loss=2.808822
Batch=719, step=3120, lr=0.187250, batch loss=0.343119, epoch loss=3.151942
Batch=779, step=3180, lr=0.187000, batch loss=0.367170, epoch loss=3.519111
Batch=839, step=3240, lr=0.186500, batch loss=0.323734, epoch loss=3.842846
Batch=899, step=3300, lr=0.186250, batch loss=0.287741, epoch loss=4.130587
Batch=959, step=3360, lr=0.186250, batch loss=0.211922, epoch loss=4.342509
Batch=1019, step=3420, lr=0.186000, batch loss=0.307551, epoch loss=4.650061
Batch=1079, step=3480, lr=0.185750, batch loss=0.175683, epoch loss=4.825743
Batch=1139, step=3540, lr=0.185250, batch loss=0.232181, epoch loss=5.057924
Batch=1199, step=3600, lr=0.185000, batch loss=0.198521, epoch loss=5.256445
Epoch=2, step=3600, lr=0.185000, epoch loss=5.256445
Batch=59, step=3660, lr=0.185000, batch loss=0.227768, epoch loss=0.227768
Batch=119, step=3720, lr=0.184500, batch loss=0.192374, epoch loss=0.420142
Batch=179, step=3780, lr=0.184250, batch loss=0.210979, epoch loss=0.631121
Batch=239, step=3840, lr=0.184000, batch loss=0.316171, epoch loss=0.947291
Batch=299, step=3900, lr=0.183750, batch loss=0.204574, epoch loss=1.151866
Batch=359, step=3960, lr=0.183750, batch loss=0.282922, epoch loss=1.434788
Batch=419, step=4020, lr=0.183500, batch loss=0.273218, epoch loss=1.708006
Batch=479, step=4080, lr=0.183250, batch loss=0.252311, epoch loss=1.960317
Batch=539, step=4140, lr=0.182750, batch loss=0.197332, epoch loss=2.157648
Batch=599, step=4200, lr=0.182500, batch loss=0.243376, epoch loss=2.401025
Batch=659, step=4260, lr=0.182500, batch loss=0.327830, epoch loss=2.728854
Batch=719, step=4320, lr=0.182250, batch loss=0.327783, epoch loss=3.056637
Batch=779, step=4380, lr=0.182000, batch loss=0.350817, epoch loss=3.407454
Batch=839, step=4440, lr=0.181750, batch loss=0.318255, epoch loss=3.725709
Batch=899, step=4500, lr=0.181500, batch loss=0.292089, epoch loss=4.017798
Batch=959, step=4560, lr=0.181250, batch loss=0.243124, epoch loss=4.260922
Batch=1019, step=4620, lr=0.180750, batch loss=0.342575, epoch loss=4.603497
Batch=1079, step=4680, lr=0.180500, batch loss=0.220823, epoch loss=4.824319
Batch=1139, step=4740, lr=0.180250, batch loss=0.248542, epoch loss=5.072861
Batch=1199, step=4800, lr=0.180000, batch loss=0.192228, epoch loss=5.265089
Epoch=3, step=4800, lr=0.180000, epoch loss=5.265089
Batch=59, step=4860, lr=0.180000, batch loss=0.228320, epoch loss=0.228320
Batch=119, step=4920, lr=0.179750, batch loss=0.189615, epoch loss=0.417934
Batch=179, step=4980, lr=0.179500, batch loss=0.205329, epoch loss=0.623263
Batch=239, step=5040, lr=0.179250, batch loss=0.308671, epoch loss=0.931934
Batch=299, step=5100, lr=0.179000, batch loss=0.205445, epoch loss=1.137379
Batch=359, step=5160, lr=0.178750, batch loss=0.270847, epoch loss=1.408227
Batch=419, step=5220, lr=0.178500, batch loss=0.264174, epoch loss=1.672401
Batch=479, step=5280, lr=0.178250, batch loss=0.239613, epoch loss=1.912014
Batch=539, step=5340, lr=0.177750, batch loss=0.189757, epoch loss=2.101771
Batch=599, step=5400, lr=0.177500, batch loss=0.231296, epoch loss=2.333067
Batch=659, step=5460, lr=0.177500, batch loss=0.323005, epoch loss=2.656072
Batch=719, step=5520, lr=0.177250, batch loss=0.325597, epoch loss=2.981670
Batch=779, step=5580, lr=0.177000, batch loss=0.338933, epoch loss=3.320603
Batch=839, step=5640, lr=0.176500, batch loss=0.312692, epoch loss=3.633295
Batch=899, step=5700, lr=0.176250, batch loss=0.278211, epoch loss=3.911506
Batch=959, step=5760, lr=0.176000, batch loss=0.220215, epoch loss=4.131720
Batch=1019, step=5820, lr=0.175750, batch loss=0.333214, epoch loss=4.464934
Batch=1079, step=5880, lr=0.175500, batch loss=0.197638, epoch loss=4.662572
Batch=1139, step=5940, lr=0.175250, batch loss=0.238824, epoch loss=4.901396
Batch=1199, step=6000, lr=0.175000, batch loss=0.186159, epoch loss=5.087555
Epoch=4, step=6000, lr=0.175000, epoch loss=5.087555
Batch=59, step=6060, lr=0.174750, batch loss=0.224890, epoch loss=0.224890
Batch=119, step=6120, lr=0.174500, batch loss=0.184235, epoch loss=0.409124
Batch=179, step=6180, lr=0.174500, batch loss=0.200602, epoch loss=0.609726
Batch=239, step=6240, lr=0.174250, batch loss=0.299262, epoch loss=0.908988
Batch=299, step=6300, lr=0.174000, batch loss=0.202598, epoch loss=1.111586
Batch=359, step=6360, lr=0.173500, batch loss=0.261636, epoch loss=1.373222
Batch=419, step=6420, lr=0.173500, batch loss=0.257714, epoch loss=1.630936
Batch=479, step=6480, lr=0.173000, batch loss=0.235998, epoch loss=1.866935
Batch=539, step=6540, lr=0.172750, batch loss=0.188856, epoch loss=2.055790
Batch=599, step=6600, lr=0.172750, batch loss=0.224381, epoch loss=2.280172
Batch=659, step=6660, lr=0.172250, batch loss=0.315704, epoch loss=2.595876
Batch=719, step=6720, lr=0.172250, batch loss=0.313176, epoch loss=2.909053
Batch=779, step=6780, lr=0.172000, batch loss=0.332438, epoch loss=3.241491
Batch=839, step=6840, lr=0.171750, batch loss=0.302487, epoch loss=3.543978
Batch=899, step=6900, lr=0.171500, batch loss=0.267139, epoch loss=3.811117
Batch=959, step=6960, lr=0.171250, batch loss=0.210457, epoch loss=4.021575
Batch=1019, step=7020, lr=0.171000, batch loss=0.329869, epoch loss=4.351443
Batch=1079, step=7080, lr=0.170750, batch loss=0.181647, epoch loss=4.533090
Batch=1139, step=7140, lr=0.170250, batch loss=0.215718, epoch loss=4.748809
Batch=1199, step=7200, lr=0.170250, batch loss=0.181772, epoch loss=4.930581
Epoch=5, step=7200, lr=0.170250, epoch loss=4.930581
Batch=59, step=7260, lr=0.170000, batch loss=0.232078, epoch loss=0.232078
Batch=119, step=7320, lr=0.169750, batch loss=0.183968, epoch loss=0.416046
Batch=179, step=7380, lr=0.169500, batch loss=0.194246, epoch loss=0.610292
Batch=239, step=7440, lr=0.169000, batch loss=0.289280, epoch loss=0.899573
Batch=299, step=7500, lr=0.168750, batch loss=0.196547, epoch loss=1.096120
Batch=359, step=7560, lr=0.168750, batch loss=0.254526, epoch loss=1.350645
Batch=419, step=7620, lr=0.168250, batch loss=0.248274, epoch loss=1.598919
Batch=479, step=7680, lr=0.168250, batch loss=0.226247, epoch loss=1.825166
Batch=539, step=7740, lr=0.168000, batch loss=0.185799, epoch loss=2.010965
Batch=599, step=7800, lr=0.167500, batch loss=0.225228, epoch loss=2.236193
Batch=659, step=7860, lr=0.167500, batch loss=0.304227, epoch loss=2.540420
Batch=719, step=7920, lr=0.167000, batch loss=0.304201, epoch loss=2.844622
Batch=779, step=7980, lr=0.167000, batch loss=0.320091, epoch loss=3.164713
Batch=839, step=8040, lr=0.166500, batch loss=0.293979, epoch loss=3.458691
Batch=899, step=8100, lr=0.166250, batch loss=0.258581, epoch loss=3.717272
Batch=959, step=8160, lr=0.166000, batch loss=0.205723, epoch loss=3.922995
Batch=1019, step=8220, lr=0.166000, batch loss=0.323059, epoch loss=4.246054
Batch=1079, step=8280, lr=0.165500, batch loss=0.205771, epoch loss=4.451825
Batch=1139, step=8340, lr=0.165250, batch loss=0.223269, epoch loss=4.675094
Batch=1199, step=8400, lr=0.165000, batch loss=0.173979, epoch loss=4.849073
Epoch=6, step=8400, lr=0.165000, epoch loss=4.849073
Batch=59, step=8460, lr=0.164750, batch loss=0.206656, epoch loss=0.206656
Batch=119, step=8520, lr=0.164750, batch loss=0.173710, epoch loss=0.380366
Batch=179, step=8580, lr=0.164250, batch loss=0.186904, epoch loss=0.567270
Batch=239, step=8640, lr=0.164250, batch loss=0.274764, epoch loss=0.842035
Batch=299, step=8700, lr=0.164000, batch loss=0.186679, epoch loss=1.028713
Batch=359, step=8760, lr=0.163500, batch loss=0.243718, epoch loss=1.272431
Batch=419, step=8820, lr=0.163250, batch loss=0.237792, epoch loss=1.510223
Batch=479, step=8880, lr=0.163250, batch loss=0.212928, epoch loss=1.723152
Batch=539, step=8940, lr=0.162750, batch loss=0.176102, epoch loss=1.899254
Batch=599, step=9000, lr=0.162750, batch loss=0.219620, epoch loss=2.118874
Batch=659, step=9060, lr=0.162500, batch loss=0.296147, epoch loss=2.415020
Batch=719, step=9120, lr=0.162250, batch loss=0.296802, epoch loss=2.711822
Batch=779, step=9180, lr=0.161750, batch loss=0.310715, epoch loss=3.022537
Batch=839, step=9240, lr=0.161500, batch loss=0.281558, epoch loss=3.304095
Batch=899, step=9300, lr=0.161500, batch loss=0.249416, epoch loss=3.553511
Batch=959, step=9360, lr=0.161250, batch loss=0.190972, epoch loss=3.744483
Batch=1019, step=9420, lr=0.161000, batch loss=0.316088, epoch loss=4.060571
Batch=1079, step=9480, lr=0.160750, batch loss=0.188452, epoch loss=4.249023
Batch=1139, step=9540, lr=0.160500, batch loss=0.210968, epoch loss=4.459991
Batch=1199, step=9600, lr=0.160000, batch loss=0.166170, epoch loss=4.626162
Epoch=7, step=9600, lr=0.160000, epoch loss=4.626162
Batch=59, step=9660, lr=0.159750, batch loss=0.197342, epoch loss=0.197342
Batch=119, step=9720, lr=0.159500, batch loss=0.163096, epoch loss=0.360438
Batch=179, step=9780, lr=0.159250, batch loss=0.177142, epoch loss=0.537580
Batch=239, step=9840, lr=0.159000, batch loss=0.257410, epoch loss=0.794990
Batch=299, step=9900, lr=0.159000, batch loss=0.180286, epoch loss=0.975276
Batch=359, step=9960, lr=0.158750, batch loss=0.239802, epoch loss=1.215078
Batch=419, step=10020, lr=0.158500, batch loss=0.231934, epoch loss=1.447012
Batch=479, step=10080, lr=0.158250, batch loss=0.217508, epoch loss=1.664520
Batch=539, step=10140, lr=0.158000, batch loss=0.169571, epoch loss=1.834091
Batch=599, step=10200, lr=0.157750, batch loss=0.200632, epoch loss=2.034723
Batch=659, step=10260, lr=0.157500, batch loss=0.278661, epoch loss=2.313384
Batch=719, step=10320, lr=0.157250, batch loss=0.284814, epoch loss=2.598198
Batch=779, step=10380, lr=0.157000, batch loss=0.292302, epoch loss=2.890501
Batch=839, step=10440, lr=0.156750, batch loss=0.264791, epoch loss=3.155291
Batch=899, step=10500, lr=0.156500, batch loss=0.240552, epoch loss=3.395843
Batch=959, step=10560, lr=0.156000, batch loss=0.196970, epoch loss=3.592813
Batch=1019, step=10620, lr=0.156000, batch loss=0.280486, epoch loss=3.873299
Batch=1079, step=10680, lr=0.155750, batch loss=0.175420, epoch loss=4.048719
Batch=1139, step=10740, lr=0.155500, batch loss=0.195425, epoch loss=4.244144
Batch=1199, step=10800, lr=0.155250, batch loss=0.153238, epoch loss=4.397382
Epoch=8, step=10800, lr=0.155250, epoch loss=4.397382
Batch=59, step=10860, lr=0.155000, batch loss=0.172945, epoch loss=0.172945
Batch=119, step=10920, lr=0.154500, batch loss=0.141432, epoch loss=0.314377
Batch=179, step=10980, lr=0.154250, batch loss=0.162829, epoch loss=0.477206
Batch=239, step=11040, lr=0.154250, batch loss=0.237236, epoch loss=0.714441
Batch=299, step=11100, lr=0.154000, batch loss=0.170582, epoch loss=0.885024
Batch=359, step=11160, lr=0.153750, batch loss=0.221127, epoch loss=1.106151
Batch=419, step=11220, lr=0.153500, batch loss=0.221423, epoch loss=1.327574
Batch=479, step=11280, lr=0.153250, batch loss=0.206338, epoch loss=1.533912
Batch=539, step=11340, lr=0.152750, batch loss=0.159905, epoch loss=1.693818
Batch=599, step=11400, lr=0.152750, batch loss=0.179638, epoch loss=1.873456
Batch=659, step=11460, lr=0.152500, batch loss=0.263828, epoch loss=2.137284
Batch=719, step=11520, lr=0.152250, batch loss=0.250451, epoch loss=2.387735
Batch=779, step=11580, lr=0.152000, batch loss=0.270946, epoch loss=2.658681
Batch=839, step=11640, lr=0.151750, batch loss=0.251232, epoch loss=2.909913
Batch=899, step=11700, lr=0.151250, batch loss=0.210953, epoch loss=3.120867
Batch=959, step=11760, lr=0.151250, batch loss=0.164067, epoch loss=3.284933
Batch=1019, step=11820, lr=0.150750, batch loss=0.265396, epoch loss=3.550330
Batch=1079, step=11880, lr=0.150500, batch loss=0.147954, epoch loss=3.698284
Batch=1139, step=11940, lr=0.150500, batch loss=0.186112, epoch loss=3.884396
Batch=1199, step=12000, lr=0.150250, batch loss=0.137116, epoch loss=4.021512
Epoch=9, step=12000, lr=0.150250, epoch loss=4.021512
Batch=59, step=12060, lr=0.150000, batch loss=0.159829, epoch loss=0.159829
Batch=119, step=12120, lr=0.149750, batch loss=0.133564, epoch loss=0.293394
Batch=179, step=12180, lr=0.149500, batch loss=0.148257, epoch loss=0.441651
Batch=239, step=12240, lr=0.149000, batch loss=0.214740, epoch loss=0.656390
Batch=299, step=12300, lr=0.149000, batch loss=0.139509, epoch loss=0.795900
Batch=359, step=12360, lr=0.148500, batch loss=0.194787, epoch loss=0.990687
Batch=419, step=12420, lr=0.148500, batch loss=0.203625, epoch loss=1.194312
Batch=479, step=12480, lr=0.148250, batch loss=0.174930, epoch loss=1.369242
Batch=539, step=12540, lr=0.148000, batch loss=0.140263, epoch loss=1.509505
Batch=599, step=12600, lr=0.147750, batch loss=0.145340, epoch loss=1.654844
Batch=659, step=12660, lr=0.147250, batch loss=0.217029, epoch loss=1.871874
Batch=719, step=12720, lr=0.147250, batch loss=0.225124, epoch loss=2.096998
Batch=779, step=12780, lr=0.146750, batch loss=0.244861, epoch loss=2.341859
Batch=839, step=12840, lr=0.146750, batch loss=0.224028, epoch loss=2.565887
Batch=899, step=12900, lr=0.146500, batch loss=0.183622, epoch loss=2.749508
Batch=959, step=12960, lr=0.146250, batch loss=0.167947, epoch loss=2.917455
Batch=1019, step=13020, lr=0.146000, batch loss=0.297430, epoch loss=3.214885
Batch=1079, step=13080, lr=0.145500, batch loss=0.114051, epoch loss=3.328936
Batch=1139, step=13140, lr=0.145250, batch loss=0.155884, epoch loss=3.484820
Batch=1199, step=13200, lr=0.145250, batch loss=0.116299, epoch loss=3.601119
Epoch=10, step=13200, lr=0.145250, epoch loss=3.601119
Batch=59, step=13260, lr=0.144750, batch loss=0.135782, epoch loss=0.135782
Batch=119, step=13320, lr=0.144750, batch loss=0.118333, epoch loss=0.254115
Batch=179, step=13380, lr=0.144500, batch loss=0.128078, epoch loss=0.382193
Batch=239, step=13440, lr=0.144250, batch loss=0.185600, epoch loss=0.567793
Batch=299, step=13500, lr=0.143750, batch loss=0.108013, epoch loss=0.675806
Batch=359, step=13560, lr=0.143500, batch loss=0.157805, epoch loss=0.833610
Batch=419, step=13620, lr=0.143500, batch loss=0.157019, epoch loss=0.990630
Batch=479, step=13680, lr=0.143000, batch loss=0.142121, epoch loss=1.132751
Batch=539, step=13740, lr=0.143000, batch loss=0.113292, epoch loss=1.246043
Batch=599, step=13800, lr=0.142750, batch loss=0.115483, epoch loss=1.361526
Batch=659, step=13860, lr=0.142500, batch loss=0.171792, epoch loss=1.533318
Batch=719, step=13920, lr=0.142250, batch loss=0.167256, epoch loss=1.700574
Batch=779, step=13980, lr=0.142000, batch loss=0.173983, epoch loss=1.874557
Batch=839, step=14040, lr=0.141750, batch loss=0.186073, epoch loss=2.060630
Batch=899, step=14100, lr=0.141500, batch loss=0.204557, epoch loss=2.265187
Batch=959, step=14160, lr=0.141250, batch loss=0.107526, epoch loss=2.372713
Batch=1019, step=14220, lr=0.141000, batch loss=0.193389, epoch loss=2.566102
Batch=1079, step=14280, lr=0.140750, batch loss=0.076361, epoch loss=2.642463
Batch=1139, step=14340, lr=0.140500, batch loss=0.128689, epoch loss=2.771152
Batch=1199, step=14400, lr=0.140250, batch loss=0.082060, epoch loss=2.853212
Epoch=11, step=14400, lr=0.140250, epoch loss=2.853212
Batch=59, step=14460, lr=0.140000, batch loss=0.097076, epoch loss=0.097076
Batch=119, step=14520, lr=0.139750, batch loss=0.096591, epoch loss=0.193667
Batch=179, step=14580, lr=0.139500, batch loss=0.095971, epoch loss=0.289638
Batch=239, step=14640, lr=0.139000, batch loss=0.133368, epoch loss=0.423006
Batch=299, step=14700, lr=0.139000, batch loss=0.070711, epoch loss=0.493717
Batch=359, step=14760, lr=0.138750, batch loss=0.116202, epoch loss=0.609919
Batch=419, step=14820, lr=0.138250, batch loss=0.133768, epoch loss=0.743687
Batch=479, step=14880, lr=0.138000, batch loss=0.084033, epoch loss=0.827721
Batch=539, step=14940, lr=0.138000, batch loss=0.088435, epoch loss=0.916156
Batch=599, step=15000, lr=0.137750, batch loss=0.082581, epoch loss=0.998737
Batch=659, step=15060, lr=0.137250, batch loss=0.134850, epoch loss=1.133587
Batch=719, step=15120, lr=0.137250, batch loss=0.165146, epoch loss=1.298733
Batch=779, step=15180, lr=0.137000, batch loss=0.359968, epoch loss=1.658702
Batch=839, step=15240, lr=0.136750, batch loss=0.127118, epoch loss=1.785820
Batch=899, step=15300, lr=0.136500, batch loss=0.102168, epoch loss=1.887988
Batch=959, step=15360, lr=0.136250, batch loss=0.091019, epoch loss=1.979007
Batch=1019, step=15420, lr=0.135750, batch loss=0.149616, epoch loss=2.128623
Batch=1079, step=15480, lr=0.135750, batch loss=0.037406, epoch loss=2.166029
Batch=1139, step=15540, lr=0.135500, batch loss=0.082897, epoch loss=2.248927
Batch=1199, step=15600, lr=0.135250, batch loss=0.049353, epoch loss=2.298280
Epoch=12, step=15600, lr=0.135250, epoch loss=2.298280
Batch=59, step=15660, lr=0.135000, batch loss=0.075295, epoch loss=0.075295
Batch=119, step=15720, lr=0.134750, batch loss=0.117353, epoch loss=0.192649
Batch=179, step=15780, lr=0.134500, batch loss=0.087791, epoch loss=0.280440
Batch=239, step=15840, lr=0.134250, batch loss=0.088669, epoch loss=0.369108
Batch=299, step=15900, lr=0.134000, batch loss=0.036012, epoch loss=0.405120
Batch=359, step=15960, lr=0.133750, batch loss=0.077973, epoch loss=0.483093
Batch=419, step=16020, lr=0.133500, batch loss=0.074005, epoch loss=0.557098
Batch=479, step=16080, lr=0.133250, batch loss=0.060791, epoch loss=0.617889
Batch=539, step=16140, lr=0.133000, batch loss=0.057948, epoch loss=0.675837
Batch=599, step=16200, lr=0.132750, batch loss=0.142468, epoch loss=0.818305
Batch=659, step=16260, lr=0.132500, batch loss=0.080636, epoch loss=0.898941
Batch=719, step=16320, lr=0.132000, batch loss=0.121857, epoch loss=1.020798
Batch=779, step=16380, lr=0.131750, batch loss=0.288566, epoch loss=1.309364
Batch=839, step=16440, lr=0.131750, batch loss=0.089020, epoch loss=1.398384
Batch=899, step=16500, lr=0.131500, batch loss=0.075740, epoch loss=1.474124
Batch=959, step=16560, lr=0.131250, batch loss=0.029318, epoch loss=1.503443
Batch=1019, step=16620, lr=0.131000, batch loss=0.048994, epoch loss=1.552436
Batch=1079, step=16680, lr=0.130750, batch loss=0.042264, epoch loss=1.594700
Batch=1139, step=16740, lr=0.130500, batch loss=0.076379, epoch loss=1.671078
Batch=1199, step=16800, lr=0.130250, batch loss=0.033891, epoch loss=1.704969
Epoch=13, step=16800, lr=0.130250, epoch loss=1.704969
Batch=59, step=16860, lr=0.130000, batch loss=0.029475, epoch loss=0.029475
Batch=119, step=16920, lr=0.129750, batch loss=0.033416, epoch loss=0.062892
Batch=179, step=16980, lr=0.129500, batch loss=0.040215, epoch loss=0.103107
Batch=239, step=17040, lr=0.129250, batch loss=0.056870, epoch loss=0.159978
Batch=299, step=17100, lr=0.129000, batch loss=0.022748, epoch loss=0.182725
Batch=359, step=17160, lr=0.128750, batch loss=0.041262, epoch loss=0.223987
Batch=419, step=17220, lr=0.128500, batch loss=0.063726, epoch loss=0.287714
Batch=479, step=17280, lr=0.128250, batch loss=0.021630, epoch loss=0.309344
Batch=539, step=17340, lr=0.128000, batch loss=0.026956, epoch loss=0.336300
Batch=599, step=17400, lr=0.127750, batch loss=0.032313, epoch loss=0.368614
Batch=659, step=17460, lr=0.127500, batch loss=0.041589, epoch loss=0.410202
Batch=719, step=17520, lr=0.127250, batch loss=0.053046, epoch loss=0.463248
Batch=779, step=17580, lr=0.126750, batch loss=0.130062, epoch loss=0.593310
Batch=839, step=17640, lr=0.126750, batch loss=0.099813, epoch loss=0.693123
Batch=899, step=17700, lr=0.126500, batch loss=0.149719, epoch loss=0.842842
Batch=959, step=17760, lr=0.126250, batch loss=0.018227, epoch loss=0.861069
Batch=1019, step=17820, lr=0.125750, batch loss=0.036430, epoch loss=0.897498
Batch=1079, step=17880, lr=0.125500, batch loss=0.011295, epoch loss=0.908793
Batch=1139, step=17940, lr=0.125500, batch loss=0.035530, epoch loss=0.944324
Batch=1199, step=18000, lr=0.125250, batch loss=0.015463, epoch loss=0.959787
Epoch=14, step=18000, lr=0.125250, epoch loss=0.959787
Batch=59, step=18060, lr=0.125000, batch loss=0.013810, epoch loss=0.013810
Batch=119, step=18120, lr=0.124750, batch loss=0.029127, epoch loss=0.042937
Batch=179, step=18180, lr=0.124500, batch loss=0.081501, epoch loss=0.124439
Batch=239, step=18240, lr=0.124250, batch loss=0.041019, epoch loss=0.165458
Batch=299, step=18300, lr=0.124000, batch loss=0.010037, epoch loss=0.175495
Batch=359, step=18360, lr=0.123750, batch loss=0.025759, epoch loss=0.201254
Batch=419, step=18420, lr=0.123500, batch loss=0.027133, epoch loss=0.228387
Batch=479, step=18480, lr=0.123250, batch loss=0.014247, epoch loss=0.242633
Batch=539, step=18540, lr=0.123000, batch loss=0.021440, epoch loss=0.264074
Batch=599, step=18600, lr=0.122750, batch loss=0.024565, epoch loss=0.288639
Batch=659, step=18660, lr=0.122500, batch loss=0.028092, epoch loss=0.316731
Batch=719, step=18720, lr=0.122250, batch loss=0.041827, epoch loss=0.358557
Batch=779, step=18780, lr=0.122000, batch loss=0.095520, epoch loss=0.454077
Batch=839, step=18840, lr=0.121500, batch loss=0.058295, epoch loss=0.512372
Batch=899, step=18900, lr=0.121500, batch loss=0.070225, epoch loss=0.582597
Batch=959, step=18960, lr=0.121250, batch loss=0.014012, epoch loss=0.596608
Batch=1019, step=19020, lr=0.121000, batch loss=0.018018, epoch loss=0.614626
Batch=1079, step=19080, lr=0.120500, batch loss=0.005601, epoch loss=0.620227
Batch=1139, step=19140, lr=0.120500, batch loss=0.024917, epoch loss=0.645144
Batch=1199, step=19200, lr=0.120000, batch loss=0.010085, epoch loss=0.655229
Epoch=15, step=19200, lr=0.120000, epoch loss=0.655229
Batch=59, step=19260, lr=0.120000, batch loss=0.005286, epoch loss=0.005286
Batch=119, step=19320, lr=0.119750, batch loss=0.015907, epoch loss=0.021193
Batch=179, step=19380, lr=0.119500, batch loss=0.036321, epoch loss=0.057514
Batch=239, step=19440, lr=0.119250, batch loss=0.021101, epoch loss=0.078615
Batch=299, step=19500, lr=0.119000, batch loss=0.005061, epoch loss=0.083676
Batch=359, step=19560, lr=0.118750, batch loss=0.016618, epoch loss=0.100294
Batch=419, step=19620, lr=0.118500, batch loss=0.019439, epoch loss=0.119733
Batch=479, step=19680, lr=0.118250, batch loss=0.009500, epoch loss=0.129233
Batch=539, step=19740, lr=0.118000, batch loss=0.020195, epoch loss=0.149428
Batch=599, step=19800, lr=0.117750, batch loss=0.019677, epoch loss=0.169105
Batch=659, step=19860, lr=0.117500, batch loss=0.019809, epoch loss=0.188914
Batch=719, step=19920, lr=0.117250, batch loss=0.015564, epoch loss=0.204478
Batch=779, step=19980, lr=0.117000, batch loss=0.018241, epoch loss=0.222719
Batch=839, step=20040, lr=0.116750, batch loss=0.030157, epoch loss=0.252877
Batch=899, step=20100, lr=0.116500, batch loss=0.026511, epoch loss=0.279388
Batch=959, step=20160, lr=0.116250, batch loss=0.012291, epoch loss=0.291679
Batch=1019, step=20220, lr=0.116000, batch loss=0.014731, epoch loss=0.306410
Batch=1079, step=20280, lr=0.115750, batch loss=0.004016, epoch loss=0.310426
Batch=1139, step=20340, lr=0.115500, batch loss=0.016052, epoch loss=0.326478
Batch=1199, step=20400, lr=0.115000, batch loss=0.007206, epoch loss=0.333684
Epoch=16, step=20400, lr=0.115000, epoch loss=0.333684
Batch=59, step=20460, lr=0.114750, batch loss=0.003481, epoch loss=0.003481
Batch=119, step=20520, lr=0.114750, batch loss=0.009124, epoch loss=0.012606
Batch=179, step=20580, lr=0.114500, batch loss=0.019332, epoch loss=0.031938
Batch=239, step=20640, lr=0.114250, batch loss=0.021830, epoch loss=0.053768
Batch=299, step=20700, lr=0.114000, batch loss=0.013087, epoch loss=0.066855
Batch=359, step=20760, lr=0.113500, batch loss=0.015133, epoch loss=0.081988
Batch=419, step=20820, lr=0.113500, batch loss=0.014706, epoch loss=0.096694
Batch=479, step=20880, lr=0.113250, batch loss=0.003500, epoch loss=0.100194
Batch=539, step=20940, lr=0.113000, batch loss=0.018448, epoch loss=0.118642
Batch=599, step=21000, lr=0.112750, batch loss=0.021094, epoch loss=0.139736
Batch=659, step=21060, lr=0.112500, batch loss=0.014701, epoch loss=0.154437
Batch=719, step=21120, lr=0.112000, batch loss=0.038433, epoch loss=0.192870
Batch=779, step=21180, lr=0.112000, batch loss=0.077732, epoch loss=0.270603
Batch=839, step=21240, lr=0.111750, batch loss=0.025904, epoch loss=0.296506
Batch=899, step=21300, lr=0.111250, batch loss=0.035186, epoch loss=0.331693
Batch=959, step=21360, lr=0.111250, batch loss=0.010761, epoch loss=0.342454
Batch=1019, step=21420, lr=0.111000, batch loss=0.012817, epoch loss=0.355271
Batch=1079, step=21480, lr=0.110750, batch loss=0.001761, epoch loss=0.357031
Batch=1139, step=21540, lr=0.110500, batch loss=0.012563, epoch loss=0.369594
Batch=1199, step=21600, lr=0.110250, batch loss=0.004996, epoch loss=0.374590
Epoch=17, step=21600, lr=0.110250, epoch loss=0.374590
Batch=59, step=21660, lr=0.110000, batch loss=0.002421, epoch loss=0.002421
Batch=119, step=21720, lr=0.109750, batch loss=0.006408, epoch loss=0.008829
Batch=179, step=21780, lr=0.109500, batch loss=0.012804, epoch loss=0.021633
Batch=239, step=21840, lr=0.109250, batch loss=0.010299, epoch loss=0.031932
Batch=299, step=21900, lr=0.109000, batch loss=0.001584, epoch loss=0.033516
Batch=359, step=21960, lr=0.108750, batch loss=0.010912, epoch loss=0.044428
Batch=419, step=22020, lr=0.108500, batch loss=0.011790, epoch loss=0.056218
Batch=479, step=22080, lr=0.108250, batch loss=0.003073, epoch loss=0.059290
Batch=539, step=22140, lr=0.108000, batch loss=0.018510, epoch loss=0.077800
Batch=599, step=22200, lr=0.107750, batch loss=0.016796, epoch loss=0.094596
Batch=659, step=22260, lr=0.107500, batch loss=0.015863, epoch loss=0.110459
Batch=719, step=22320, lr=0.107250, batch loss=0.026492, epoch loss=0.136951
Batch=779, step=22380, lr=0.107000, batch loss=0.036338, epoch loss=0.173288
Batch=839, step=22440, lr=0.106750, batch loss=0.025714, epoch loss=0.199003
Batch=899, step=22500, lr=0.106500, batch loss=0.028862, epoch loss=0.227865
Batch=959, step=22560, lr=0.106250, batch loss=0.009089, epoch loss=0.236953
Batch=1019, step=22620, lr=0.106000, batch loss=0.010282, epoch loss=0.247235
Batch=1079, step=22680, lr=0.105750, batch loss=0.000520, epoch loss=0.247755
Batch=1139, step=22740, lr=0.105500, batch loss=0.010529, epoch loss=0.258284
Batch=1199, step=22800, lr=0.105250, batch loss=0.004444, epoch loss=0.262727
Epoch=18, step=22800, lr=0.105250, epoch loss=0.262727
Batch=59, step=22860, lr=0.105000, batch loss=0.001366, epoch loss=0.001366
Batch=119, step=22920, lr=0.104750, batch loss=0.005599, epoch loss=0.006965
Batch=179, step=22980, lr=0.104500, batch loss=0.011139, epoch loss=0.018104
Batch=239, step=23040, lr=0.104250, batch loss=0.009492, epoch loss=0.027596
Batch=299, step=23100, lr=0.104000, batch loss=0.009623, epoch loss=0.037219
Batch=359, step=23160, lr=0.103750, batch loss=0.012416, epoch loss=0.049635
Batch=419, step=23220, lr=0.103500, batch loss=0.010901, epoch loss=0.060536
Batch=479, step=23280, lr=0.103250, batch loss=0.002380, epoch loss=0.062916
Batch=539, step=23340, lr=0.102750, batch loss=0.016588, epoch loss=0.079504
Batch=599, step=23400, lr=0.102750, batch loss=0.014164, epoch loss=0.093668
Batch=659, step=23460, lr=0.102500, batch loss=0.010741, epoch loss=0.104409
Batch=719, step=23520, lr=0.102250, batch loss=0.015236, epoch loss=0.119646
Batch=779, step=23580, lr=0.102000, batch loss=0.022169, epoch loss=0.141815
Batch=839, step=23640, lr=0.101750, batch loss=0.025418, epoch loss=0.167233
Batch=899, step=23700, lr=0.101500, batch loss=0.024061, epoch loss=0.191295
Batch=959, step=23760, lr=0.101250, batch loss=0.008867, epoch loss=0.200162
Batch=1019, step=23820, lr=0.101000, batch loss=0.008146, epoch loss=0.208308
Batch=1079, step=23880, lr=0.100500, batch loss=0.000472, epoch loss=0.208780
Batch=1139, step=23940, lr=0.100500, batch loss=0.009837, epoch loss=0.218617
Batch=1199, step=24000, lr=0.100250, batch loss=0.004664, epoch loss=0.223281
Epoch=19, step=24000, lr=0.100250, epoch loss=0.223281


Half-moons scatterplot and decision boundary:
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"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-05-19 16:45.42: Job failed: Failed: Build failed