alpine-3.21-5.3_opam-2.3

2025-05-21 11:38.59: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (52f80ac5b7073e5cd5af3347bd172c26ccbb6053) (linux-x86_64:alpine-3.21-5.3_opam-2.3)
Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 52f80ac5
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
# alpine-3.21-5.3_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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && 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


2025-05-21 11:38.59: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-21 11:38.59: Using OBuilder spec:
((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
(comment alpine-3.21-5.3_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 c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && 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"))
)


2025-05-21 11:38.59: Waiting for resource in pool OCluster
2025-05-21 11:38.59: Waiting for worker…
2025-05-21 11:39.01: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 52f80ac5 stdout capture: close descriptors before joining the domain. Fixed by o3


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-21 11:39.01 ---> using "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" from cache


/: (comment alpine-3.21-5.3_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"))
2025-05-21 11:39.01 ---> using "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" 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.
[NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=255 --global


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-21 11:39.01 ---> using "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" 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
2025-05-21 11:39.01 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-21 11:39.01 ---> using "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..c7d6d1d2aa  master     -> origin/master
c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora


<><> 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)
2025-05-21 11:39.37 ---> saved as "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-21 11:39.38 ---> saved as "e7ddea50aa22839dfda8010de8140d0239e99c619106cb339b5353531c35c275"


/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)
2025-05-21 11:39.43 ---> saved as "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-21 11:39.43 ---> saved as "31c63d847abbceacf1604facb33ec06337e17d98aafb8f0efde797325c19b227"


/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 "apk" "update"
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
- v3.21.3-506-gaa59717f6c9 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-508-ge5616f65dfd [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8668-gc02c58dc4e3 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8674-g6fc107baff9 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8672-g68f7c4fbf20 [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58256 distinct packages available


<><> 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


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


+ /usr/bin/sudo "apk" "add" "libffi-dev"
- (1/2) Installing linux-headers (6.6-r1)
- (2/2) Installing libffi-dev (3.4.7-r0)
- OK: 312 MiB in 104 packages
2025-05-21 11:40.17 ---> saved as "ccfbf9a7c0289af3dbae36b8308ca426d55954dd201bcd119d3d2662718a88a1"


/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 astring.0.8.5  (cached)
-> retrieved angstrom.0.16.1  (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 cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved csexp.1.5.2  (cached)
-> installed conf-libffi.2.0.0
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved pprint.20230830  (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_fields_conv.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> retrieved result.1.5  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> installed seq.base
-> retrieved saturn_lockfree.0.5.0  (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 uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> 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 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-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed ppx_derivers.1.2.1
-> installed printbox.0.12
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed cppo.1.8.0
-> installed re.1.12.0
-> 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 angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ctypes.0.23.0
-> installed printbox-ext-plot.0.12
-> installed base.v0.17.2
-> installed ctypes-foreign.0.23.0
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_compare.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)
2025-05-21 11:43.54 ---> saved as "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf"


/src: (copy (src .) (dst /src))
2025-05-21 11:43.55 ---> saved as "b2ab6170ea47a10cd3897c4f59c1d147e8741c5edd551539d5f5fb66cda32d26"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend)


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/1a43b4856b18398471dd54bfa6be9478/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 30-40, characters 0-281:
30 | (rule
31 |  (alias runtest)
32 |  (target
33 |   (dir log_files))
34 |  (action
35 |   (run
36 |    %{dep:micrograd_demo_logging.exe}
37 |    "--ocannl_debug_backend=text"
38 |    "--ocannl_log_file_stem=micrograd_demo_logging"
39 |    "--ocannl_log_main_domain_to_stdout=false"
40 |    "--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 multicore_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/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/368f83b1cdbb0a01f75c96b9deaf9d5f/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/368f83b1cdbb0a01f75c96b9deaf9d5f/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 multicore_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=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190500, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190250, batch loss=0.278125, epoch loss=5.441779
Batch=1199, step=2400, lr=0.190250, batch loss=0.220806, epoch loss=5.662586
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662586
Batch=59, step=2460, lr=0.190000, batch loss=0.230381, epoch loss=0.230381
Batch=119, step=2520, lr=0.189750, batch loss=0.195947, epoch loss=0.426328
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647484
Batch=239, step=2640, lr=0.189250, batch loss=0.328091, epoch loss=0.975575
Batch=299, step=2700, lr=0.189000, batch loss=0.202939, epoch loss=1.178514
Batch=359, step=2760, lr=0.188500, batch loss=0.288261, epoch loss=1.466775
Batch=419, step=2820, lr=0.188500, batch loss=0.280168, epoch loss=1.746942
Batch=479, step=2880, lr=0.188250, batch loss=0.251463, epoch loss=1.998406
Batch=539, step=2940, lr=0.188000, batch loss=0.191272, epoch loss=2.189678
Batch=599, step=3000, lr=0.187750, batch loss=0.224972, epoch loss=2.414650
Batch=659, step=3060, lr=0.187500, batch loss=0.335762, epoch loss=2.750411
Batch=719, step=3120, lr=0.187250, batch loss=0.331423, epoch loss=3.081834
Batch=779, step=3180, lr=0.187000, batch loss=0.357919, epoch loss=3.439753
Batch=839, step=3240, lr=0.186750, batch loss=0.325619, epoch loss=3.765372
Batch=899, step=3300, lr=0.186500, batch loss=0.292365, epoch loss=4.057737
Batch=959, step=3360, lr=0.186250, batch loss=0.244979, epoch loss=4.302716
Batch=1019, step=3420, lr=0.186000, batch loss=0.361913, epoch loss=4.664629
Batch=1079, step=3480, lr=0.185750, batch loss=0.222059, epoch loss=4.886689
Batch=1139, step=3540, lr=0.185500, batch loss=0.264058, epoch loss=5.150747
Batch=1199, step=3600, lr=0.185250, batch loss=0.199939, epoch loss=5.350686
Epoch=2, step=3600, lr=0.185250, epoch loss=5.350686
Batch=59, step=3660, lr=0.185000, batch loss=0.221217, epoch loss=0.221217
Batch=119, step=3720, lr=0.184500, batch loss=0.184962, epoch loss=0.406179
Batch=179, step=3780, lr=0.184250, batch loss=0.211398, epoch loss=0.617577
Batch=239, step=3840, lr=0.184000, batch loss=0.316940, epoch loss=0.934517
Batch=299, step=3900, lr=0.183750, batch loss=0.209226, epoch loss=1.143743
Batch=359, step=3960, lr=0.183750, batch loss=0.285537, epoch loss=1.429281
Batch=419, step=4020, lr=0.183250, batch loss=0.278314, epoch loss=1.707594
Batch=479, step=4080, lr=0.183000, batch loss=0.254844, epoch loss=1.962438
Batch=539, step=4140, lr=0.183000, batch loss=0.200046, epoch loss=2.162485
Batch=599, step=4200, lr=0.182500, batch loss=0.242566, epoch loss=2.405051
Batch=659, step=4260, lr=0.182250, batch loss=0.327749, epoch loss=2.732799
Batch=719, step=4320, lr=0.182250, batch loss=0.330830, epoch loss=3.063629
Batch=779, step=4380, lr=0.182000, batch loss=0.349778, epoch loss=3.413407
Batch=839, step=4440, lr=0.181750, batch loss=0.317805, epoch loss=3.731213
Batch=899, step=4500, lr=0.181500, batch loss=0.285830, epoch loss=4.017043
Batch=959, step=4560, lr=0.181250, batch loss=0.239606, epoch loss=4.256649
Batch=1019, step=4620, lr=0.181000, batch loss=0.333062, epoch loss=4.589710
Batch=1079, step=4680, lr=0.180750, batch loss=0.195699, epoch loss=4.785410
Batch=1139, step=4740, lr=0.180500, batch loss=0.229089, epoch loss=5.014499
Batch=1199, step=4800, lr=0.180250, batch loss=0.193335, epoch loss=5.207834
Epoch=3, step=4800, lr=0.180250, epoch loss=5.207834
Batch=59, step=4860, lr=0.180000, batch loss=0.242890, epoch loss=0.242890
Batch=119, step=4920, lr=0.179750, batch loss=0.198242, epoch loss=0.441132
Batch=179, step=4980, lr=0.179500, batch loss=0.206256, epoch loss=0.647387
Batch=239, step=5040, lr=0.179250, batch loss=0.306196, epoch loss=0.953584
Batch=299, step=5100, lr=0.179000, batch loss=0.203063, epoch loss=1.156646
Batch=359, step=5160, lr=0.178750, batch loss=0.272570, epoch loss=1.429216
Batch=419, step=5220, lr=0.178500, batch loss=0.264313, epoch loss=1.693529
Batch=479, step=5280, lr=0.178250, batch loss=0.240425, epoch loss=1.933954
Batch=539, step=5340, lr=0.178000, batch loss=0.189572, epoch loss=2.123526
Batch=599, step=5400, lr=0.177750, batch loss=0.232046, epoch loss=2.355572
Batch=659, step=5460, lr=0.177500, batch loss=0.323628, epoch loss=2.679200
Batch=719, step=5520, lr=0.177250, batch loss=0.325227, epoch loss=3.004427
Batch=779, step=5580, lr=0.177000, batch loss=0.337281, epoch loss=3.341708
Batch=839, step=5640, lr=0.176750, batch loss=0.314624, epoch loss=3.656332
Batch=899, step=5700, lr=0.176500, batch loss=0.277090, epoch loss=3.933422
Batch=959, step=5760, lr=0.176250, batch loss=0.207104, epoch loss=4.140525
Batch=1019, step=5820, lr=0.176000, batch loss=0.342606, epoch loss=4.483132
Batch=1079, step=5880, lr=0.175750, batch loss=0.203058, epoch loss=4.686190
Batch=1139, step=5940, lr=0.175500, batch loss=0.241790, epoch loss=4.927980
Batch=1199, step=6000, lr=0.175250, batch loss=0.185343, epoch loss=5.113323
Epoch=4, step=6000, lr=0.175250, epoch loss=5.113323
Batch=59, step=6060, lr=0.175000, batch loss=0.224562, epoch loss=0.224562
Batch=119, step=6120, lr=0.174750, batch loss=0.185424, epoch loss=0.409986
Batch=179, step=6180, lr=0.174500, batch loss=0.201652, epoch loss=0.611638
Batch=239, step=6240, lr=0.174000, batch loss=0.300285, epoch loss=0.911923
Batch=299, step=6300, lr=0.173750, batch loss=0.207656, epoch loss=1.119579
Batch=359, step=6360, lr=0.173750, batch loss=0.265269, epoch loss=1.384848
Batch=419, step=6420, lr=0.173500, batch loss=0.260979, epoch loss=1.645827
Batch=479, step=6480, lr=0.173250, batch loss=0.236871, epoch loss=1.882697
Batch=539, step=6540, lr=0.173000, batch loss=0.186967, epoch loss=2.069664
Batch=599, step=6600, lr=0.172750, batch loss=0.226881, epoch loss=2.296546
Batch=659, step=6660, lr=0.172500, batch loss=0.316532, epoch loss=2.613077
Batch=719, step=6720, lr=0.172250, batch loss=0.314427, epoch loss=2.927504
Batch=779, step=6780, lr=0.171750, batch loss=0.334292, epoch loss=3.261796
Batch=839, step=6840, lr=0.171750, batch loss=0.304134, epoch loss=3.565929
Batch=899, step=6900, lr=0.171500, batch loss=0.266192, epoch loss=3.832121
Batch=959, step=6960, lr=0.171250, batch loss=0.210208, epoch loss=4.042329
Batch=1019, step=7020, lr=0.171000, batch loss=0.329259, epoch loss=4.371588
Batch=1079, step=7080, lr=0.170750, batch loss=0.181814, epoch loss=4.553402
Batch=1139, step=7140, lr=0.170500, batch loss=0.216218, epoch loss=4.769620
Batch=1199, step=7200, lr=0.170250, batch loss=0.181909, epoch loss=4.951529
Epoch=5, step=7200, lr=0.170250, epoch loss=4.951529
Batch=59, step=7260, lr=0.170000, batch loss=0.241415, epoch loss=0.241415
Batch=119, step=7320, lr=0.169750, batch loss=0.179260, epoch loss=0.420675
Batch=179, step=7380, lr=0.169500, batch loss=0.195376, epoch loss=0.616051
Batch=239, step=7440, lr=0.169250, batch loss=0.291965, epoch loss=0.908016
Batch=299, step=7500, lr=0.169000, batch loss=0.209161, epoch loss=1.117177
Batch=359, step=7560, lr=0.168750, batch loss=0.260430, epoch loss=1.377607
Batch=419, step=7620, lr=0.168500, batch loss=0.255503, epoch loss=1.633110
Batch=479, step=7680, lr=0.168250, batch loss=0.238190, epoch loss=1.871301
Batch=539, step=7740, lr=0.168000, batch loss=0.186919, epoch loss=2.058219
Batch=599, step=7800, lr=0.167750, batch loss=0.226596, epoch loss=2.284815
Batch=659, step=7860, lr=0.167500, batch loss=0.304950, epoch loss=2.589765
Batch=719, step=7920, lr=0.167250, batch loss=0.308399, epoch loss=2.898164
Batch=779, step=7980, lr=0.167000, batch loss=0.320978, epoch loss=3.219142
Batch=839, step=8040, lr=0.166750, batch loss=0.296931, epoch loss=3.516073
Batch=899, step=8100, lr=0.166500, batch loss=0.263288, epoch loss=3.779361
Batch=959, step=8160, lr=0.166250, batch loss=0.199588, epoch loss=3.978949
Batch=1019, step=8220, lr=0.166000, batch loss=0.322589, epoch loss=4.301538
Batch=1079, step=8280, lr=0.165750, batch loss=0.193960, epoch loss=4.495497
Batch=1139, step=8340, lr=0.165500, batch loss=0.222960, epoch loss=4.718457
Batch=1199, step=8400, lr=0.165250, batch loss=0.173704, epoch loss=4.892161
Epoch=6, step=8400, lr=0.165250, epoch loss=4.892161
Batch=59, step=8460, lr=0.165000, batch loss=0.208774, epoch loss=0.208774
Batch=119, step=8520, lr=0.164750, batch loss=0.174052, epoch loss=0.382826
Batch=179, step=8580, lr=0.164500, batch loss=0.188443, epoch loss=0.571268
Batch=239, step=8640, lr=0.164250, batch loss=0.278930, epoch loss=0.850198
Batch=299, step=8700, lr=0.164000, batch loss=0.192095, epoch loss=1.042293
Batch=359, step=8760, lr=0.163750, batch loss=0.247526, epoch loss=1.289819
Batch=419, step=8820, lr=0.163500, batch loss=0.244792, epoch loss=1.534611
Batch=479, step=8880, lr=0.163250, batch loss=0.229180, epoch loss=1.763791
Batch=539, step=8940, lr=0.163000, batch loss=0.177736, epoch loss=1.941527
Batch=599, step=9000, lr=0.162750, batch loss=0.218228, epoch loss=2.159755
Batch=659, step=9060, lr=0.162500, batch loss=0.294010, epoch loss=2.453765
Batch=719, step=9120, lr=0.162250, batch loss=0.296871, epoch loss=2.750637
Batch=779, step=9180, lr=0.162000, batch loss=0.314987, epoch loss=3.065623
Batch=839, step=9240, lr=0.161750, batch loss=0.281570, epoch loss=3.347193
Batch=899, step=9300, lr=0.161500, batch loss=0.252653, epoch loss=3.599846
Batch=959, step=9360, lr=0.161250, batch loss=0.197994, epoch loss=3.797840
Batch=1019, step=9420, lr=0.161000, batch loss=0.308165, epoch loss=4.106005
Batch=1079, step=9480, lr=0.160750, batch loss=0.194091, epoch loss=4.300096
Batch=1139, step=9540, lr=0.160500, batch loss=0.214062, epoch loss=4.514157
Batch=1199, step=9600, lr=0.160250, batch loss=0.167890, epoch loss=4.682048
Epoch=7, step=9600, lr=0.160250, epoch loss=4.682048
Batch=59, step=9660, lr=0.160000, batch loss=0.212815, epoch loss=0.212815
Batch=119, step=9720, lr=0.159750, batch loss=0.169369, epoch loss=0.382184
Batch=179, step=9780, lr=0.159500, batch loss=0.178968, epoch loss=0.561152
Batch=239, step=9840, lr=0.159250, batch loss=0.261295, epoch loss=0.822446
Batch=299, step=9900, lr=0.159000, batch loss=0.185635, epoch loss=1.008081
Batch=359, step=9960, lr=0.158750, batch loss=0.240044, epoch loss=1.248126
Batch=419, step=10020, lr=0.158500, batch loss=0.232928, epoch loss=1.481054
Batch=479, step=10080, lr=0.158250, batch loss=0.214059, epoch loss=1.695112
Batch=539, step=10140, lr=0.157750, batch loss=0.171215, epoch loss=1.866327
Batch=599, step=10200, lr=0.157750, batch loss=0.201723, epoch loss=2.068050
Batch=659, step=10260, lr=0.157500, batch loss=0.282213, epoch loss=2.350263
Batch=719, step=10320, lr=0.157250, batch loss=0.285845, epoch loss=2.636108
Batch=779, step=10380, lr=0.157000, batch loss=0.295199, epoch loss=2.931307
Batch=839, step=10440, lr=0.156500, batch loss=0.266688, epoch loss=3.197995
Batch=899, step=10500, lr=0.156250, batch loss=0.242641, epoch loss=3.440636
Batch=959, step=10560, lr=0.156250, batch loss=0.195675, epoch loss=3.636311
Batch=1019, step=10620, lr=0.156000, batch loss=0.281828, epoch loss=3.918139
Batch=1079, step=10680, lr=0.155750, batch loss=0.164557, epoch loss=4.082697
Batch=1139, step=10740, lr=0.155500, batch loss=0.188752, epoch loss=4.271448
Batch=1199, step=10800, lr=0.155250, batch loss=0.154042, epoch loss=4.425490
Epoch=8, step=10800, lr=0.155250, epoch loss=4.425490
Batch=59, step=10860, lr=0.155000, batch loss=0.178022, epoch loss=0.178022
Batch=119, step=10920, lr=0.154750, batch loss=0.149895, epoch loss=0.327917
Batch=179, step=10980, lr=0.154500, batch loss=0.166473, epoch loss=0.494390
Batch=239, step=11040, lr=0.154250, batch loss=0.242124, epoch loss=0.736514
Batch=299, step=11100, lr=0.154000, batch loss=0.171100, epoch loss=0.907614
Batch=359, step=11160, lr=0.153750, batch loss=0.220804, epoch loss=1.128418
Batch=419, step=11220, lr=0.153500, batch loss=0.220669, epoch loss=1.349087
Batch=479, step=11280, lr=0.153250, batch loss=0.210437, epoch loss=1.559524
Batch=539, step=11340, lr=0.153000, batch loss=0.164877, epoch loss=1.724401
Batch=599, step=11400, lr=0.152750, batch loss=0.177328, epoch loss=1.901730
Batch=659, step=11460, lr=0.152500, batch loss=0.265439, epoch loss=2.167168
Batch=719, step=11520, lr=0.152250, batch loss=0.260338, epoch loss=2.427507
Batch=779, step=11580, lr=0.152000, batch loss=0.273171, epoch loss=2.700678
Batch=839, step=11640, lr=0.151750, batch loss=0.256715, epoch loss=2.957393
Batch=899, step=11700, lr=0.151500, batch loss=0.212897, epoch loss=3.170289
Batch=959, step=11760, lr=0.151250, batch loss=0.164963, epoch loss=3.335252
Batch=1019, step=11820, lr=0.151000, batch loss=0.256710, epoch loss=3.591962
Batch=1079, step=11880, lr=0.150750, batch loss=0.131746, epoch loss=3.723708
Batch=1139, step=11940, lr=0.150500, batch loss=0.164294, epoch loss=3.888002
Batch=1199, step=12000, lr=0.150250, batch loss=0.139255, epoch loss=4.027256
Epoch=9, step=12000, lr=0.150250, epoch loss=4.027256
Batch=59, step=12060, lr=0.150000, batch loss=0.172132, epoch loss=0.172132
Batch=119, step=12120, lr=0.149750, batch loss=0.149930, epoch loss=0.322063
Batch=179, step=12180, lr=0.149500, batch loss=0.150055, epoch loss=0.472117
Batch=239, step=12240, lr=0.149250, batch loss=0.216504, epoch loss=0.688621
Batch=299, step=12300, lr=0.149000, batch loss=0.145838, epoch loss=0.834459
Batch=359, step=12360, lr=0.148750, batch loss=0.194951, epoch loss=1.029411
Batch=419, step=12420, lr=0.148500, batch loss=0.211414, epoch loss=1.240824
Batch=479, step=12480, lr=0.148250, batch loss=0.174549, epoch loss=1.415374
Batch=539, step=12540, lr=0.148000, batch loss=0.146096, epoch loss=1.561470
Batch=599, step=12600, lr=0.147750, batch loss=0.149600, epoch loss=1.711070
Batch=659, step=12660, lr=0.147500, batch loss=0.225135, epoch loss=1.936206
Batch=719, step=12720, lr=0.147250, batch loss=0.234984, epoch loss=2.171190
Batch=779, step=12780, lr=0.147000, batch loss=0.261013, epoch loss=2.432203
Batch=839, step=12840, lr=0.146750, batch loss=0.230709, epoch loss=2.662912
Batch=899, step=12900, lr=0.146500, batch loss=0.199425, epoch loss=2.862336
Batch=959, step=12960, lr=0.146250, batch loss=0.151427, epoch loss=3.013763
Batch=1019, step=13020, lr=0.146000, batch loss=0.261166, epoch loss=3.274929
Batch=1079, step=13080, lr=0.145750, batch loss=0.116121, epoch loss=3.391050
Batch=1139, step=13140, lr=0.145500, batch loss=0.155391, epoch loss=3.546441
Batch=1199, step=13200, lr=0.145250, batch loss=0.118612, epoch loss=3.665053
Epoch=10, step=13200, lr=0.145250, epoch loss=3.665053
Batch=59, step=13260, lr=0.145000, batch loss=0.141224, epoch loss=0.141224
Batch=119, step=13320, lr=0.144750, batch loss=0.121728, epoch loss=0.262952
Batch=179, step=13380, lr=0.144500, batch loss=0.127154, epoch loss=0.390106
Batch=239, step=13440, lr=0.144250, batch loss=0.192491, epoch loss=0.582597
Batch=299, step=13500, lr=0.144000, batch loss=0.133355, epoch loss=0.715952
Batch=359, step=13560, lr=0.143750, batch loss=0.160137, epoch loss=0.876089
Batch=419, step=13620, lr=0.143500, batch loss=0.158431, epoch loss=1.034520
Batch=479, step=13680, lr=0.143250, batch loss=0.148701, epoch loss=1.183221
Batch=539, step=13740, lr=0.143000, batch loss=0.118421, epoch loss=1.301642
Batch=599, step=13800, lr=0.142750, batch loss=0.120267, epoch loss=1.421909
Batch=659, step=13860, lr=0.142500, batch loss=0.175052, epoch loss=1.596961
Batch=719, step=13920, lr=0.142250, batch loss=0.175735, epoch loss=1.772696
Batch=779, step=13980, lr=0.142000, batch loss=0.194993, epoch loss=1.967689
Batch=839, step=14040, lr=0.141750, batch loss=0.184681, epoch loss=2.152371
Batch=899, step=14100, lr=0.141500, batch loss=0.158408, epoch loss=2.310778
Batch=959, step=14160, lr=0.141250, batch loss=0.131234, epoch loss=2.442013
Batch=1019, step=14220, lr=0.140750, batch loss=0.268671, epoch loss=2.710684
Batch=1079, step=14280, lr=0.140750, batch loss=0.084629, epoch loss=2.795313
Batch=1139, step=14340, lr=0.140500, batch loss=0.131575, epoch loss=2.926888
Batch=1199, step=14400, lr=0.140000, batch loss=0.091643, epoch loss=3.018531
Epoch=11, step=14400, lr=0.140000, epoch loss=3.018531
Batch=59, step=14460, lr=0.140000, batch loss=0.121165, epoch loss=0.121165
Batch=119, step=14520, lr=0.139750, batch loss=0.120964, epoch loss=0.242130
Batch=179, step=14580, lr=0.139500, batch loss=0.109738, epoch loss=0.351867
Batch=239, step=14640, lr=0.139250, batch loss=0.139962, epoch loss=0.491829
Batch=299, step=14700, lr=0.139000, batch loss=0.080042, epoch loss=0.571872
Batch=359, step=14760, lr=0.138750, batch loss=0.117214, epoch loss=0.689086
Batch=419, step=14820, lr=0.138500, batch loss=0.125523, epoch loss=0.814609
Batch=479, step=14880, lr=0.138250, batch loss=0.101788, epoch loss=0.916396
Batch=539, step=14940, lr=0.138000, batch loss=0.106272, epoch loss=1.022668
Batch=599, step=15000, lr=0.137500, batch loss=0.085360, epoch loss=1.108027
Batch=659, step=15060, lr=0.137250, batch loss=0.127550, epoch loss=1.235577
Batch=719, step=15120, lr=0.137250, batch loss=0.118420, epoch loss=1.353997
Batch=779, step=15180, lr=0.137000, batch loss=0.136744, epoch loss=1.490741
Batch=839, step=15240, lr=0.136750, batch loss=0.160985, epoch loss=1.651726
Batch=899, step=15300, lr=0.136500, batch loss=0.270665, epoch loss=1.922390
Batch=959, step=15360, lr=0.136250, batch loss=0.067794, epoch loss=1.990185
Batch=1019, step=15420, lr=0.136000, batch loss=0.157682, epoch loss=2.147867
Batch=1079, step=15480, lr=0.135750, batch loss=0.041049, epoch loss=2.188915
Batch=1139, step=15540, lr=0.135250, batch loss=0.090978, epoch loss=2.279893
Batch=1199, step=15600, lr=0.135250, batch loss=0.057310, epoch loss=2.337203
Epoch=12, step=15600, lr=0.135250, epoch loss=2.337203
Batch=59, step=15660, lr=0.134750, batch loss=0.077451, epoch loss=0.077451
Batch=119, step=15720, lr=0.134750, batch loss=0.103298, epoch loss=0.180749
Batch=179, step=15780, lr=0.134500, batch loss=0.087158, epoch loss=0.267907
Batch=239, step=15840, lr=0.134250, batch loss=0.091328, epoch loss=0.359235
Batch=299, step=15900, lr=0.134000, batch loss=0.040153, epoch loss=0.399388
Batch=359, step=15960, lr=0.133750, batch loss=0.075602, epoch loss=0.474990
Batch=419, step=16020, lr=0.133500, batch loss=0.078623, epoch loss=0.553613
Batch=479, step=16080, lr=0.133250, batch loss=0.067486, epoch loss=0.621099
Batch=539, step=16140, lr=0.133000, batch loss=0.053429, epoch loss=0.674528
Batch=599, step=16200, lr=0.132750, batch loss=0.097284, epoch loss=0.771811
Batch=659, step=16260, lr=0.132500, batch loss=0.074183, epoch loss=0.845994
Batch=719, step=16320, lr=0.132250, batch loss=0.073643, epoch loss=0.919637
Batch=779, step=16380, lr=0.131750, batch loss=0.087765, epoch loss=1.007402
Batch=839, step=16440, lr=0.131750, batch loss=0.096395, epoch loss=1.103797
Batch=899, step=16500, lr=0.131500, batch loss=0.155034, epoch loss=1.258831
Batch=959, step=16560, lr=0.131250, batch loss=0.046571, epoch loss=1.305402
Batch=1019, step=16620, lr=0.131000, batch loss=0.118812, epoch loss=1.424214
Batch=1079, step=16680, lr=0.130750, batch loss=0.025185, epoch loss=1.449398
Batch=1139, step=16740, lr=0.130500, batch loss=0.058431, epoch loss=1.507830
Batch=1199, step=16800, lr=0.130250, batch loss=0.028518, epoch loss=1.536347
Epoch=13, step=16800, lr=0.130250, epoch loss=1.536347
Batch=59, step=16860, lr=0.130000, batch loss=0.032746, epoch loss=0.032746
Batch=119, step=16920, lr=0.129750, batch loss=0.039686, epoch loss=0.072432
Batch=179, step=16980, lr=0.129500, batch loss=0.041815, epoch loss=0.114247
Batch=239, step=17040, lr=0.129000, batch loss=0.059726, epoch loss=0.173973
Batch=299, step=17100, lr=0.129000, batch loss=0.030755, epoch loss=0.204728
Batch=359, step=17160, lr=0.128750, batch loss=0.049415, epoch loss=0.254143
Batch=419, step=17220, lr=0.128500, batch loss=0.091442, epoch loss=0.345585
Batch=479, step=17280, lr=0.128250, batch loss=0.023471, epoch loss=0.369056
Batch=539, step=17340, lr=0.128000, batch loss=0.028009, epoch loss=0.397065
Batch=599, step=17400, lr=0.127750, batch loss=0.034062, epoch loss=0.431127
Batch=659, step=17460, lr=0.127500, batch loss=0.044908, epoch loss=0.476035
Batch=719, step=17520, lr=0.127250, batch loss=0.037373, epoch loss=0.513408
Batch=779, step=17580, lr=0.127000, batch loss=0.039898, epoch loss=0.553306
Batch=839, step=17640, lr=0.126750, batch loss=0.052826, epoch loss=0.606133
Batch=899, step=17700, lr=0.126500, batch loss=0.054187, epoch loss=0.660320
Batch=959, step=17760, lr=0.126250, batch loss=0.046341, epoch loss=0.706661
Batch=1019, step=17820, lr=0.126000, batch loss=0.109169, epoch loss=0.815830
Batch=1079, step=17880, lr=0.125750, batch loss=0.021684, epoch loss=0.837514
Batch=1139, step=17940, lr=0.125500, batch loss=0.043325, epoch loss=0.880840
Batch=1199, step=18000, lr=0.125250, batch loss=0.017004, epoch loss=0.897843
Epoch=14, step=18000, lr=0.125250, epoch loss=0.897843
Batch=59, step=18060, lr=0.125000, batch loss=0.012447, epoch loss=0.012447
Batch=119, step=18120, lr=0.124500, batch loss=0.021440, epoch loss=0.033887
Batch=179, step=18180, lr=0.124500, batch loss=0.029762, epoch loss=0.063649
Batch=239, step=18240, lr=0.124250, batch loss=0.032281, epoch loss=0.095930
Batch=299, step=18300, lr=0.124000, batch loss=0.011026, epoch loss=0.106956
Batch=359, step=18360, lr=0.123750, batch loss=0.027367, epoch loss=0.134323
Batch=419, step=18420, lr=0.123500, batch loss=0.049155, epoch loss=0.183478
Batch=479, step=18480, lr=0.123250, batch loss=0.012843, epoch loss=0.196321
Batch=539, step=18540, lr=0.122750, batch loss=0.020157, epoch loss=0.216478
Batch=599, step=18600, lr=0.122500, batch loss=0.028074, epoch loss=0.244552
Batch=659, step=18660, lr=0.122500, batch loss=0.026770, epoch loss=0.271322
Batch=719, step=18720, lr=0.122250, batch loss=0.026679, epoch loss=0.298001
Batch=779, step=18780, lr=0.122000, batch loss=0.073911, epoch loss=0.371911
Batch=839, step=18840, lr=0.121750, batch loss=0.139913, epoch loss=0.511824
Batch=899, step=18900, lr=0.121500, batch loss=0.037207, epoch loss=0.549031
Batch=959, step=18960, lr=0.121000, batch loss=0.013056, epoch loss=0.562087
Batch=1019, step=19020, lr=0.121000, batch loss=0.019974, epoch loss=0.582062
Batch=1079, step=19080, lr=0.120750, batch loss=0.010081, epoch loss=0.592143
Batch=1139, step=19140, lr=0.120250, batch loss=0.022588, epoch loss=0.614731
Batch=1199, step=19200, lr=0.120250, batch loss=0.010567, epoch loss=0.625299
Epoch=15, step=19200, lr=0.120250, epoch loss=0.625299
Batch=59, step=19260, lr=0.120000, batch loss=0.004597, epoch loss=0.004597
Batch=119, step=19320, lr=0.119750, batch loss=0.010581, epoch loss=0.015178
Batch=179, step=19380, lr=0.119500, batch loss=0.019710, epoch loss=0.034888
Batch=239, step=19440, lr=0.119250, batch loss=0.019860, epoch loss=0.054748
Batch=299, step=19500, lr=0.119000, batch loss=0.016136, epoch loss=0.070884
Batch=359, step=19560, lr=0.118750, batch loss=0.034800, epoch loss=0.105684
Batch=419, step=19620, lr=0.118500, batch loss=0.021080, epoch loss=0.126764
Batch=479, step=19680, lr=0.118000, batch loss=0.006396, epoch loss=0.133160
Batch=539, step=19740, lr=0.118000, batch loss=0.028316, epoch loss=0.161476
Batch=599, step=19800, lr=0.117750, batch loss=0.024856, epoch loss=0.186332
Batch=659, step=19860, lr=0.117500, batch loss=0.019862, epoch loss=0.206194
Batch=719, step=19920, lr=0.117250, batch loss=0.057265, epoch loss=0.263459
Batch=779, step=19980, lr=0.117000, batch loss=0.080319, epoch loss=0.343778
Batch=839, step=20040, lr=0.116750, batch loss=0.030286, epoch loss=0.374064
Batch=899, step=20100, lr=0.116500, batch loss=0.036910, epoch loss=0.410975
Batch=959, step=20160, lr=0.116250, batch loss=0.012136, epoch loss=0.423111
Batch=1019, step=20220, lr=0.116000, batch loss=0.017385, epoch loss=0.440496
Batch=1079, step=20280, lr=0.115750, batch loss=0.001168, epoch loss=0.441664
Batch=1139, step=20340, lr=0.115500, batch loss=0.015202, epoch loss=0.456866
Batch=1199, step=20400, lr=0.115250, batch loss=0.005766, epoch loss=0.462632
Epoch=16, step=20400, lr=0.115250, epoch loss=0.462632
Batch=59, step=20460, lr=0.115000, batch loss=0.003037, epoch loss=0.003037
Batch=119, step=20520, lr=0.114750, batch loss=0.011170, epoch loss=0.014207
Batch=179, step=20580, lr=0.114500, batch loss=0.025001, epoch loss=0.039207
Batch=239, step=20640, lr=0.114250, batch loss=0.016634, epoch loss=0.055841
Batch=299, step=20700, lr=0.114000, batch loss=0.003432, epoch loss=0.059273
Batch=359, step=20760, lr=0.113750, batch loss=0.014261, epoch loss=0.073534
Batch=419, step=20820, lr=0.113500, batch loss=0.014429, epoch loss=0.087963
Batch=479, step=20880, lr=0.113250, batch loss=0.003464, epoch loss=0.091427
Batch=539, step=20940, lr=0.113000, batch loss=0.015579, epoch loss=0.107006
Batch=599, step=21000, lr=0.112750, batch loss=0.017517, epoch loss=0.124523
Batch=659, step=21060, lr=0.112500, batch loss=0.013065, epoch loss=0.137588
Batch=719, step=21120, lr=0.112250, batch loss=0.040450, epoch loss=0.178038
Batch=779, step=21180, lr=0.112000, batch loss=0.068816, epoch loss=0.246855
Batch=839, step=21240, lr=0.111750, batch loss=0.024926, epoch loss=0.271781
Batch=899, step=21300, lr=0.111500, batch loss=0.030706, epoch loss=0.302487
Batch=959, step=21360, lr=0.111250, batch loss=0.010074, epoch loss=0.312561
Batch=1019, step=21420, lr=0.110750, batch loss=0.012982, epoch loss=0.325543
Batch=1079, step=21480, lr=0.110750, batch loss=0.001368, epoch loss=0.326911
Batch=1139, step=21540, lr=0.110500, batch loss=0.012329, epoch loss=0.339240
Batch=1199, step=21600, lr=0.110250, batch loss=0.004995, epoch loss=0.344235
Epoch=17, step=21600, lr=0.110250, epoch loss=0.344235
Batch=59, step=21660, lr=0.110000, batch loss=0.002270, epoch loss=0.002270
Batch=119, step=21720, lr=0.109750, batch loss=0.006846, epoch loss=0.009116
Batch=179, step=21780, lr=0.109500, batch loss=0.012644, epoch loss=0.021760
Batch=239, step=21840, lr=0.109250, batch loss=0.009546, epoch loss=0.031307
Batch=299, step=21900, lr=0.108750, batch loss=0.011167, epoch loss=0.042474
Batch=359, step=21960, lr=0.108500, batch loss=0.013928, epoch loss=0.056402
Batch=419, step=22020, lr=0.108500, batch loss=0.012325, epoch loss=0.068728
Batch=479, step=22080, lr=0.108250, batch loss=0.002991, epoch loss=0.071718
Batch=539, step=22140, lr=0.108000, batch loss=0.017073, epoch loss=0.088791
Batch=599, step=22200, lr=0.107500, batch loss=0.016438, epoch loss=0.105229
Batch=659, step=22260, lr=0.107250, batch loss=0.014824, epoch loss=0.120053
Batch=719, step=22320, lr=0.107250, batch loss=0.025541, epoch loss=0.145595
Batch=779, step=22380, lr=0.107000, batch loss=0.045008, epoch loss=0.190603
Batch=839, step=22440, lr=0.106500, batch loss=0.021664, epoch loss=0.212267
Batch=899, step=22500, lr=0.106500, batch loss=0.022400, epoch loss=0.234667
Batch=959, step=22560, lr=0.106250, batch loss=0.010994, epoch loss=0.245661
Batch=1019, step=22620, lr=0.105750, batch loss=0.009202, epoch loss=0.254863
Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.254863
Batch=1139, step=22740, lr=0.105250, batch loss=0.009816, epoch loss=0.264679
Batch=1199, step=22800, lr=0.105250, batch loss=0.004681, epoch loss=0.269360
Epoch=18, step=22800, lr=0.105250, epoch loss=0.269360
Batch=59, step=22860, lr=0.105000, batch loss=0.001886, epoch loss=0.001886
Batch=119, step=22920, lr=0.104750, batch loss=0.005546, epoch loss=0.007431
Batch=179, step=22980, lr=0.104500, batch loss=0.010503, epoch loss=0.017934
Batch=239, step=23040, lr=0.104000, batch loss=0.010974, epoch loss=0.028908
Batch=299, step=23100, lr=0.103750, batch loss=0.008846, epoch loss=0.037754
Batch=359, step=23160, lr=0.103750, batch loss=0.012428, epoch loss=0.050183
Batch=419, step=23220, lr=0.103500, batch loss=0.010880, epoch loss=0.061063
Batch=479, step=23280, lr=0.103250, batch loss=0.002422, epoch loss=0.063485
Batch=539, step=23340, lr=0.103000, batch loss=0.016728, epoch loss=0.080213
Batch=599, step=23400, lr=0.102750, batch loss=0.013486, epoch loss=0.093699
Batch=659, step=23460, lr=0.102500, batch loss=0.011425, epoch loss=0.105124
Batch=719, step=23520, lr=0.102250, batch loss=0.011000, epoch loss=0.116124
Batch=779, step=23580, lr=0.102000, batch loss=0.018677, epoch loss=0.134802
Batch=839, step=23640, lr=0.101750, batch loss=0.027754, epoch loss=0.162555
Batch=899, step=23700, lr=0.101500, batch loss=0.021423, epoch loss=0.183979
Batch=959, step=23760, lr=0.101250, batch loss=0.010691, epoch loss=0.194670
Batch=1019, step=23820, lr=0.101000, batch loss=0.008224, epoch loss=0.202894
Batch=1079, step=23880, lr=0.100750, batch loss=0.000150, epoch loss=0.203044
Batch=1139, step=23940, lr=0.100500, batch loss=0.008896, epoch loss=0.211940
Batch=1199, step=24000, lr=0.100250, batch loss=0.004611, epoch loss=0.216551
Epoch=19, step=24000, lr=0.100250, epoch loss=0.216551


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
2025-05-21 11:45.23: Job failed: Failed: Build failed