alpine-3.21-5.3_opam-2.3

2025-05-21 20:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (dbcdf2e378618e3c8d1d5ac89a107cc5a9fab6ef) (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 dbcdf2e3
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 20:19.55: 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 20:19.55: 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 20:19.55: Waiting for resource in pool OCluster
2025-05-21 20:19.55: Waiting for worker…
2025-05-21 20:30.10: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at dbcdf2e3 Update test target (logging multicore_cc)


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-21 20:31.24 ---> 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 20:31.24 ---> 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 20:31.24 ---> 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 20:31.24 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-21 20:31.24 ---> 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..ffb3d1e34a  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 20:31.24 ---> using "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-21 20:31.24 ---> using "e7ddea50aa22839dfda8010de8140d0239e99c619106cb339b5353531c35c275" 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)
2025-05-21 20:31.24 ---> using "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-21 20:31.24 ---> using "31c63d847abbceacf1604facb33ec06337e17d98aafb8f0efde797325c19b227" 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 "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
- v3.21.3-509-g0e89ac270a0 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-510-g4f507628865 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8684-gc77dd060ae8 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8689-g90cc14272f8 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8686-g79dbee1f95c [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 20:31.24 ---> using "ccfbf9a7c0289af3dbae36b8308ca426d55954dd201bcd119d3d2662718a88a1" 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 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_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> retrieved result.1.5  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> installed seq.base
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed astring.0.8.5
-> installed ptime.1.2.0
-> installed fmt.0.10.0
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed ocaml-version.4.0.0
-> installed printbox.0.12
-> installed result.1.5
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed stdlib-shims.0.3.0
-> installed camlp-streams.5.0.1
-> installed csexp.1.5.2
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed sexplib0.v0.17.0
-> installed thread-local-storage.0.2
-> installed integers.0.7.0
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed ocaml-syntax-shims.1.0.0
-> 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 ctypes.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ctypes-foreign.0.23.0
-> installed printbox-ext-plot.0.12
-> installed base.v0.17.2
-> installed fieldslib.v0.17.0
-> installed variantslib.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_variants_conv.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_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 20:31.24 ---> using "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf" from cache


/src: (copy (src .) (dst /src))
2025-05-21 20:31.24 ---> saved as "156ddc58db8811f3b8bc6ef34da52e34de9b9c0c720fa2aa132d7bf3f1098d20"


/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/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6ed852e0fb903b610b06f1c9f04d8de7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/89283bccb9910444c53806be1ee295aa/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/89283bccb9910444c53806be1ee295aa/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=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.186750, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321762, epoch loss=3.844230
Batch=899, step=3300, lr=0.186500, batch loss=0.283901, epoch loss=4.128131
Batch=959, step=3360, lr=0.186250, batch loss=0.214363, epoch loss=4.342494
Batch=1019, step=3420, lr=0.186000, batch loss=0.306470, epoch loss=4.648963
Batch=1079, step=3480, lr=0.185750, batch loss=0.177237, epoch loss=4.826201
Batch=1139, step=3540, lr=0.185500, batch loss=0.235620, epoch loss=5.061821
Batch=1199, step=3600, lr=0.185250, batch loss=0.197910, epoch loss=5.259731
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259731
Batch=59, step=3660, lr=0.185000, batch loss=0.226486, epoch loss=0.226486
Batch=119, step=3720, lr=0.184750, batch loss=0.191851, epoch loss=0.418337
Batch=179, step=3780, lr=0.184500, batch loss=0.210710, epoch loss=0.629047
Batch=239, step=3840, lr=0.184250, batch loss=0.314087, epoch loss=0.943134
Batch=299, step=3900, lr=0.184000, batch loss=0.206077, epoch loss=1.149211
Batch=359, step=3960, lr=0.183750, batch loss=0.291171, epoch loss=1.440382
Batch=419, step=4020, lr=0.183500, batch loss=0.297507, epoch loss=1.737888
Batch=479, step=4080, lr=0.183250, batch loss=0.260457, epoch loss=1.998345
Batch=539, step=4140, lr=0.183000, batch loss=0.195271, epoch loss=2.193617
Batch=599, step=4200, lr=0.182750, batch loss=0.230327, epoch loss=2.423944
Batch=659, step=4260, lr=0.182500, batch loss=0.337204, epoch loss=2.761148
Batch=719, step=4320, lr=0.182250, batch loss=0.347068, epoch loss=3.108216
Batch=779, step=4380, lr=0.182000, batch loss=0.346372, epoch loss=3.454588
Batch=839, step=4440, lr=0.181750, batch loss=0.317724, epoch loss=3.772312
Batch=899, step=4500, lr=0.181500, batch loss=0.283984, epoch loss=4.056295
Batch=959, step=4560, lr=0.181250, batch loss=0.238269, epoch loss=4.294564
Batch=1019, step=4620, lr=0.181000, batch loss=0.337022, epoch loss=4.631586
Batch=1079, step=4680, lr=0.180750, batch loss=0.208455, epoch loss=4.840041
Batch=1139, step=4740, lr=0.180500, batch loss=0.249294, epoch loss=5.089335
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281103
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281103
Batch=59, step=4860, lr=0.180000, batch loss=0.228007, epoch loss=0.228007
Batch=119, step=4920, lr=0.179750, batch loss=0.190278, epoch loss=0.418285
Batch=179, step=4980, lr=0.179500, batch loss=0.205911, epoch loss=0.624196
Batch=239, step=5040, lr=0.179250, batch loss=0.309038, epoch loss=0.933234
Batch=299, step=5100, lr=0.179000, batch loss=0.204655, epoch loss=1.137889
Batch=359, step=5160, lr=0.178750, batch loss=0.271102, epoch loss=1.408991
Batch=419, step=5220, lr=0.178500, batch loss=0.264067, epoch loss=1.673058
Batch=479, step=5280, lr=0.178250, batch loss=0.239664, epoch loss=1.912722
Batch=539, step=5340, lr=0.178000, batch loss=0.189497, epoch loss=2.102219
Batch=599, step=5400, lr=0.177750, batch loss=0.230943, epoch loss=2.333162
Batch=659, step=5460, lr=0.177500, batch loss=0.323646, epoch loss=2.656808
Batch=719, step=5520, lr=0.177250, batch loss=0.325814, epoch loss=2.982622
Batch=779, step=5580, lr=0.177000, batch loss=0.343243, epoch loss=3.325865
Batch=839, step=5640, lr=0.176750, batch loss=0.309302, epoch loss=3.635167
Batch=899, step=5700, lr=0.176500, batch loss=0.273232, epoch loss=3.908398
Batch=959, step=5760, lr=0.176250, batch loss=0.214814, epoch loss=4.123213
Batch=1019, step=5820, lr=0.176000, batch loss=0.339309, epoch loss=4.462522
Batch=1079, step=5880, lr=0.175750, batch loss=0.207715, epoch loss=4.670236
Batch=1139, step=5940, lr=0.175500, batch loss=0.240062, epoch loss=4.910298
Batch=1199, step=6000, lr=0.175250, batch loss=0.186874, epoch loss=5.097172
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097172
Batch=59, step=6060, lr=0.175000, batch loss=0.230498, epoch loss=0.230498
Batch=119, step=6120, lr=0.174750, batch loss=0.194326, epoch loss=0.424824
Batch=179, step=6180, lr=0.174500, batch loss=0.201550, epoch loss=0.626374
Batch=239, step=6240, lr=0.174250, batch loss=0.302369, epoch loss=0.928743
Batch=299, step=6300, lr=0.174000, batch loss=0.203961, epoch loss=1.132704
Batch=359, step=6360, lr=0.173750, batch loss=0.266085, epoch loss=1.398789
Batch=419, step=6420, lr=0.173500, batch loss=0.265311, epoch loss=1.664100
Batch=479, step=6480, lr=0.173250, batch loss=0.243296, epoch loss=1.907395
Batch=539, step=6540, lr=0.173000, batch loss=0.192997, epoch loss=2.100392
Batch=599, step=6600, lr=0.172750, batch loss=0.234470, epoch loss=2.334862
Batch=659, step=6660, lr=0.172500, batch loss=0.312127, epoch loss=2.646989
Batch=719, step=6720, lr=0.172250, batch loss=0.314218, epoch loss=2.961207
Batch=779, step=6780, lr=0.172000, batch loss=0.333247, epoch loss=3.294454
Batch=839, step=6840, lr=0.171750, batch loss=0.303747, epoch loss=3.598200
Batch=899, step=6900, lr=0.171500, batch loss=0.268494, epoch loss=3.866694
Batch=959, step=6960, lr=0.171250, batch loss=0.211003, epoch loss=4.077697
Batch=1019, step=7020, lr=0.171000, batch loss=0.330494, epoch loss=4.408191
Batch=1079, step=7080, lr=0.170750, batch loss=0.180821, epoch loss=4.589012
Batch=1139, step=7140, lr=0.170500, batch loss=0.216327, epoch loss=4.805340
Batch=1199, step=7200, lr=0.170250, batch loss=0.181927, epoch loss=4.987266
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987266
Batch=59, step=7260, lr=0.170000, batch loss=0.232845, epoch loss=0.232845
Batch=119, step=7320, lr=0.169750, batch loss=0.184478, epoch loss=0.417323
Batch=179, step=7380, lr=0.169500, batch loss=0.196304, epoch loss=0.613628
Batch=239, step=7440, lr=0.169250, batch loss=0.290834, epoch loss=0.904461
Batch=299, step=7500, lr=0.169000, batch loss=0.200828, epoch loss=1.105290
Batch=359, step=7560, lr=0.168750, batch loss=0.258437, epoch loss=1.363726
Batch=419, step=7620, lr=0.168500, batch loss=0.256805, epoch loss=1.620531
Batch=479, step=7680, lr=0.168250, batch loss=0.236016, epoch loss=1.856547
Batch=539, step=7740, lr=0.168000, batch loss=0.187884, epoch loss=2.044431
Batch=599, step=7800, lr=0.167750, batch loss=0.223945, epoch loss=2.268375
Batch=659, step=7860, lr=0.167500, batch loss=0.305902, epoch loss=2.574278
Batch=719, step=7920, lr=0.167250, batch loss=0.309310, epoch loss=2.883588
Batch=779, step=7980, lr=0.167000, batch loss=0.330002, epoch loss=3.213590
Batch=839, step=8040, lr=0.166750, batch loss=0.292392, epoch loss=3.505981
Batch=899, step=8100, lr=0.166500, batch loss=0.261819, epoch loss=3.767801
Batch=959, step=8160, lr=0.166250, batch loss=0.193224, epoch loss=3.961025
Batch=1019, step=8220, lr=0.166000, batch loss=0.314182, epoch loss=4.275207
Batch=1079, step=8280, lr=0.165750, batch loss=0.172015, epoch loss=4.447222
Batch=1139, step=8340, lr=0.165500, batch loss=0.209780, epoch loss=4.657002
Batch=1199, step=8400, lr=0.165250, batch loss=0.178326, epoch loss=4.835327
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835327
Batch=59, step=8460, lr=0.165000, batch loss=0.229629, epoch loss=0.229629
Batch=119, step=8520, lr=0.164750, batch loss=0.175073, epoch loss=0.404702
Batch=179, step=8580, lr=0.164500, batch loss=0.187823, epoch loss=0.592525
Batch=239, step=8640, lr=0.164250, batch loss=0.278174, epoch loss=0.870698
Batch=299, step=8700, lr=0.164000, batch loss=0.192080, epoch loss=1.062778
Batch=359, step=8760, lr=0.163750, batch loss=0.248569, epoch loss=1.311347
Batch=419, step=8820, lr=0.163500, batch loss=0.245670, epoch loss=1.557017
Batch=479, step=8880, lr=0.163250, batch loss=0.228507, epoch loss=1.785524
Batch=539, step=8940, lr=0.163000, batch loss=0.178217, epoch loss=1.963741
Batch=599, step=9000, lr=0.162750, batch loss=0.217289, epoch loss=2.181030
Batch=659, step=9060, lr=0.162500, batch loss=0.294906, epoch loss=2.475936
Batch=719, step=9120, lr=0.162250, batch loss=0.296363, epoch loss=2.772300
Batch=779, step=9180, lr=0.162000, batch loss=0.316838, epoch loss=3.089138
Batch=839, step=9240, lr=0.161750, batch loss=0.287179, epoch loss=3.376317
Batch=899, step=9300, lr=0.161500, batch loss=0.251126, epoch loss=3.627442
Batch=959, step=9360, lr=0.161250, batch loss=0.190645, epoch loss=3.818087
Batch=1019, step=9420, lr=0.161000, batch loss=0.311488, epoch loss=4.129575
Batch=1079, step=9480, lr=0.160750, batch loss=0.191729, epoch loss=4.321304
Batch=1139, step=9540, lr=0.160500, batch loss=0.215645, epoch loss=4.536950
Batch=1199, step=9600, lr=0.160250, batch loss=0.165625, epoch loss=4.702574
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702574
Batch=59, step=9660, lr=0.160000, batch loss=0.197332, epoch loss=0.197332
Batch=119, step=9720, lr=0.159750, batch loss=0.165530, epoch loss=0.362862
Batch=179, step=9780, lr=0.159500, batch loss=0.179287, epoch loss=0.542149
Batch=239, step=9840, lr=0.159250, batch loss=0.263829, epoch loss=0.805978
Batch=299, step=9900, lr=0.159000, batch loss=0.182267, epoch loss=0.988245
Batch=359, step=9960, lr=0.158750, batch loss=0.240794, epoch loss=1.229039
Batch=419, step=10020, lr=0.158500, batch loss=0.233037, epoch loss=1.462076
Batch=479, step=10080, lr=0.158250, batch loss=0.213360, epoch loss=1.675435
Batch=539, step=10140, lr=0.158000, batch loss=0.170585, epoch loss=1.846020
Batch=599, step=10200, lr=0.157750, batch loss=0.200447, epoch loss=2.046467
Batch=659, step=10260, lr=0.157500, batch loss=0.282807, epoch loss=2.329274
Batch=719, step=10320, lr=0.157250, batch loss=0.279272, epoch loss=2.608546
Batch=779, step=10380, lr=0.157000, batch loss=0.300507, epoch loss=2.909053
Batch=839, step=10440, lr=0.156750, batch loss=0.270876, epoch loss=3.179929
Batch=899, step=10500, lr=0.156500, batch loss=0.239692, epoch loss=3.419621
Batch=959, step=10560, lr=0.156250, batch loss=0.197730, epoch loss=3.617351
Batch=1019, step=10620, lr=0.156000, batch loss=0.282510, epoch loss=3.899861
Batch=1079, step=10680, lr=0.155750, batch loss=0.172223, epoch loss=4.072084
Batch=1139, step=10740, lr=0.155500, batch loss=0.202004, epoch loss=4.274088
Batch=1199, step=10800, lr=0.155250, batch loss=0.154089, epoch loss=4.428177
Epoch=8, step=10800, lr=0.155250, epoch loss=4.428177
Batch=59, step=10860, lr=0.155000, batch loss=0.175745, epoch loss=0.175745
Batch=119, step=10920, lr=0.154750, batch loss=0.143508, epoch loss=0.319253
Batch=179, step=10980, lr=0.154500, batch loss=0.165504, epoch loss=0.484757
Batch=239, step=11040, lr=0.154250, batch loss=0.240784, epoch loss=0.725541
Batch=299, step=11100, lr=0.154000, batch loss=0.172171, epoch loss=0.897712
Batch=359, step=11160, lr=0.153750, batch loss=0.223120, epoch loss=1.120832
Batch=419, step=11220, lr=0.153500, batch loss=0.229723, epoch loss=1.350554
Batch=479, step=11280, lr=0.153250, batch loss=0.202885, epoch loss=1.553439
Batch=539, step=11340, lr=0.153000, batch loss=0.160768, epoch loss=1.714207
Batch=599, step=11400, lr=0.152750, batch loss=0.184715, epoch loss=1.898922
Batch=659, step=11460, lr=0.152500, batch loss=0.264063, epoch loss=2.162985
Batch=719, step=11520, lr=0.152250, batch loss=0.249427, epoch loss=2.412412
Batch=779, step=11580, lr=0.152000, batch loss=0.272342, epoch loss=2.684754
Batch=839, step=11640, lr=0.151750, batch loss=0.254010, epoch loss=2.938764
Batch=899, step=11700, lr=0.151500, batch loss=0.218309, epoch loss=3.157072
Batch=959, step=11760, lr=0.151250, batch loss=0.181426, epoch loss=3.338498
Batch=1019, step=11820, lr=0.151000, batch loss=0.256235, epoch loss=3.594734
Batch=1079, step=11880, lr=0.150750, batch loss=0.148563, epoch loss=3.743296
Batch=1139, step=11940, lr=0.150500, batch loss=0.181375, epoch loss=3.924672
Batch=1199, step=12000, lr=0.150250, batch loss=0.139320, epoch loss=4.063991
Epoch=9, step=12000, lr=0.150250, epoch loss=4.063991
Batch=59, step=12060, lr=0.150000, batch loss=0.160672, epoch loss=0.160672
Batch=119, step=12120, lr=0.149750, batch loss=0.133745, epoch loss=0.294417
Batch=179, step=12180, lr=0.149500, batch loss=0.150272, epoch loss=0.444689
Batch=239, step=12240, lr=0.149250, batch loss=0.219949, epoch loss=0.664639
Batch=299, step=12300, lr=0.149000, batch loss=0.139111, epoch loss=0.803750
Batch=359, step=12360, lr=0.148750, batch loss=0.197686, epoch loss=1.001436
Batch=419, step=12420, lr=0.148500, batch loss=0.204179, epoch loss=1.205615
Batch=479, step=12480, lr=0.148250, batch loss=0.180059, epoch loss=1.385674
Batch=539, step=12540, lr=0.148000, batch loss=0.141344, epoch loss=1.527017
Batch=599, step=12600, lr=0.147750, batch loss=0.150225, epoch loss=1.677242
Batch=659, step=12660, lr=0.147500, batch loss=0.224355, epoch loss=1.901597
Batch=719, step=12720, lr=0.147250, batch loss=0.235208, epoch loss=2.136805
Batch=779, step=12780, lr=0.147000, batch loss=0.261783, epoch loss=2.398588
Batch=839, step=12840, lr=0.146750, batch loss=0.235186, epoch loss=2.633774
Batch=899, step=12900, lr=0.146500, batch loss=0.220317, epoch loss=2.854091
Batch=959, step=12960, lr=0.146250, batch loss=0.143574, epoch loss=2.997665
Batch=1019, step=13020, lr=0.146000, batch loss=0.217335, epoch loss=3.215000
Batch=1079, step=13080, lr=0.145750, batch loss=0.110801, epoch loss=3.325801
Batch=1139, step=13140, lr=0.145500, batch loss=0.146503, epoch loss=3.472304
Batch=1199, step=13200, lr=0.145250, batch loss=0.115568, epoch loss=3.587872
Epoch=10, step=13200, lr=0.145250, epoch loss=3.587872
Batch=59, step=13260, lr=0.145000, batch loss=0.130734, epoch loss=0.130734
Batch=119, step=13320, lr=0.144750, batch loss=0.109378, epoch loss=0.240112
Batch=179, step=13380, lr=0.144500, batch loss=0.125969, epoch loss=0.366081
Batch=239, step=13440, lr=0.144250, batch loss=0.182903, epoch loss=0.548984
Batch=299, step=13500, lr=0.144000, batch loss=0.119763, epoch loss=0.668747
Batch=359, step=13560, lr=0.143750, batch loss=0.163426, epoch loss=0.832173
Batch=419, step=13620, lr=0.143500, batch loss=0.182708, epoch loss=1.014881
Batch=479, step=13680, lr=0.143250, batch loss=0.136485, epoch loss=1.151366
Batch=539, step=13740, lr=0.143000, batch loss=0.118005, epoch loss=1.269371
Batch=599, step=13800, lr=0.142750, batch loss=0.119466, epoch loss=1.388837
Batch=659, step=13860, lr=0.142500, batch loss=0.175172, epoch loss=1.564009
Batch=719, step=13920, lr=0.142250, batch loss=0.176089, epoch loss=1.740098
Batch=779, step=13980, lr=0.142000, batch loss=0.195697, epoch loss=1.935795
Batch=839, step=14040, lr=0.141750, batch loss=0.186604, epoch loss=2.122399
Batch=899, step=14100, lr=0.141500, batch loss=0.156266, epoch loss=2.278665
Batch=959, step=14160, lr=0.141250, batch loss=0.133809, epoch loss=2.412474
Batch=1019, step=14220, lr=0.141000, batch loss=0.290651, epoch loss=2.703126
Batch=1079, step=14280, lr=0.140750, batch loss=0.083396, epoch loss=2.786522
Batch=1139, step=14340, lr=0.140500, batch loss=0.124970, epoch loss=2.911492
Batch=1199, step=14400, lr=0.140250, batch loss=0.091757, epoch loss=3.003249
Epoch=11, step=14400, lr=0.140250, epoch loss=3.003249
Batch=59, step=14460, lr=0.140000, batch loss=0.121612, epoch loss=0.121612
Batch=119, step=14520, lr=0.139750, batch loss=0.119898, epoch loss=0.241509
Batch=179, step=14580, lr=0.139500, batch loss=0.111899, epoch loss=0.353408
Batch=239, step=14640, lr=0.139250, batch loss=0.139371, epoch loss=0.492779
Batch=299, step=14700, lr=0.139000, batch loss=0.081993, epoch loss=0.574772
Batch=359, step=14760, lr=0.138750, batch loss=0.122992, epoch loss=0.697764
Batch=419, step=14820, lr=0.138500, batch loss=0.129251, epoch loss=0.827015
Batch=479, step=14880, lr=0.138250, batch loss=0.102033, epoch loss=0.929048
Batch=539, step=14940, lr=0.138000, batch loss=0.096897, epoch loss=1.025945
Batch=599, step=15000, lr=0.137750, batch loss=0.085952, epoch loss=1.111897
Batch=659, step=15060, lr=0.137500, batch loss=0.127929, epoch loss=1.239827
Batch=719, step=15120, lr=0.137250, batch loss=0.121376, epoch loss=1.361202
Batch=779, step=15180, lr=0.137000, batch loss=0.130927, epoch loss=1.492129
Batch=839, step=15240, lr=0.136750, batch loss=0.144244, epoch loss=1.636373
Batch=899, step=15300, lr=0.136250, batch loss=0.144617, epoch loss=1.780989
Batch=959, step=15360, lr=0.136250, batch loss=0.114637, epoch loss=1.895627
Batch=1019, step=15420, lr=0.136000, batch loss=0.303142, epoch loss=2.198768
Batch=1079, step=15480, lr=0.135750, batch loss=0.039119, epoch loss=2.237888
Batch=1139, step=15540, lr=0.135500, batch loss=0.084129, epoch loss=2.322017
Batch=1199, step=15600, lr=0.135250, batch loss=0.055087, epoch loss=2.377105
Epoch=12, step=15600, lr=0.135250, epoch loss=2.377105
Batch=59, step=15660, lr=0.135000, batch loss=0.084096, epoch loss=0.084096
Batch=119, step=15720, lr=0.134750, batch loss=0.115212, epoch loss=0.199308
Batch=179, step=15780, lr=0.134500, batch loss=0.096101, epoch loss=0.295409
Batch=239, step=15840, lr=0.134250, batch loss=0.094810, epoch loss=0.390219
Batch=299, step=15900, lr=0.134000, batch loss=0.041251, epoch loss=0.431470
Batch=359, step=15960, lr=0.133750, batch loss=0.079897, epoch loss=0.511367
Batch=419, step=16020, lr=0.133500, batch loss=0.079457, epoch loss=0.590824
Batch=479, step=16080, lr=0.133250, batch loss=0.058069, epoch loss=0.648893
Batch=539, step=16140, lr=0.133000, batch loss=0.064347, epoch loss=0.713239
Batch=599, step=16200, lr=0.132750, batch loss=0.147200, epoch loss=0.860439
Batch=659, step=16260, lr=0.132500, batch loss=0.086312, epoch loss=0.946751
Batch=719, step=16320, lr=0.132250, batch loss=0.119544, epoch loss=1.066295
Batch=779, step=16380, lr=0.132000, batch loss=0.267784, epoch loss=1.334079
Batch=839, step=16440, lr=0.131750, batch loss=0.088521, epoch loss=1.422600
Batch=899, step=16500, lr=0.131500, batch loss=0.073051, epoch loss=1.495651
Batch=959, step=16560, lr=0.131250, batch loss=0.036301, epoch loss=1.531952
Batch=1019, step=16620, lr=0.131000, batch loss=0.080504, epoch loss=1.612456
Batch=1079, step=16680, lr=0.130750, batch loss=0.038983, epoch loss=1.651439
Batch=1139, step=16740, lr=0.130500, batch loss=0.078707, epoch loss=1.730146
Batch=1199, step=16800, lr=0.130250, batch loss=0.037496, epoch loss=1.767642
Epoch=13, step=16800, lr=0.130250, epoch loss=1.767642
Batch=59, step=16860, lr=0.130000, batch loss=0.032370, epoch loss=0.032370
Batch=119, step=16920, lr=0.129750, batch loss=0.033480, epoch loss=0.065850
Batch=179, step=16980, lr=0.129500, batch loss=0.041757, epoch loss=0.107607
Batch=239, step=17040, lr=0.129250, batch loss=0.054216, epoch loss=0.161823
Batch=299, step=17100, lr=0.129000, batch loss=0.019505, epoch loss=0.181328
Batch=359, step=17160, lr=0.128750, batch loss=0.042211, epoch loss=0.223538
Batch=419, step=17220, lr=0.128500, batch loss=0.044855, epoch loss=0.268394
Batch=479, step=17280, lr=0.128250, batch loss=0.021166, epoch loss=0.289559
Batch=539, step=17340, lr=0.128000, batch loss=0.036351, epoch loss=0.325910
Batch=599, step=17400, lr=0.127750, batch loss=0.058242, epoch loss=0.384152
Batch=659, step=17460, lr=0.127500, batch loss=0.043662, epoch loss=0.427814
Batch=719, step=17520, lr=0.127250, batch loss=0.045176, epoch loss=0.472990
Batch=779, step=17580, lr=0.127000, batch loss=0.085835, epoch loss=0.558825
Batch=839, step=17640, lr=0.126750, batch loss=0.225267, epoch loss=0.784093
Batch=899, step=17700, lr=0.126500, batch loss=0.051943, epoch loss=0.836035
Batch=959, step=17760, lr=0.126250, batch loss=0.028446, epoch loss=0.864482
Batch=1019, step=17820, lr=0.126000, batch loss=0.065249, epoch loss=0.929731
Batch=1079, step=17880, lr=0.125750, batch loss=0.015395, epoch loss=0.945126
Batch=1139, step=17940, lr=0.125500, batch loss=0.030394, epoch loss=0.975520
Batch=1199, step=18000, lr=0.125250, batch loss=0.015415, epoch loss=0.990935
Epoch=14, step=18000, lr=0.125250, epoch loss=0.990935
Batch=59, step=18060, lr=0.125000, batch loss=0.012641, epoch loss=0.012641
Batch=119, step=18120, lr=0.124750, batch loss=0.020397, epoch loss=0.033037
Batch=179, step=18180, lr=0.124500, batch loss=0.033890, epoch loss=0.066928
Batch=239, step=18240, lr=0.124250, batch loss=0.038925, epoch loss=0.105853
Batch=299, step=18300, lr=0.124000, batch loss=0.015657, epoch loss=0.121510
Batch=359, step=18360, lr=0.123750, batch loss=0.024390, epoch loss=0.145900
Batch=419, step=18420, lr=0.123500, batch loss=0.031271, epoch loss=0.177172
Batch=479, step=18480, lr=0.123250, batch loss=0.017913, epoch loss=0.195085
Batch=539, step=18540, lr=0.123000, batch loss=0.026363, epoch loss=0.221448
Batch=599, step=18600, lr=0.122750, batch loss=0.025654, epoch loss=0.247101
Batch=659, step=18660, lr=0.122500, batch loss=0.029309, epoch loss=0.276410
Batch=719, step=18720, lr=0.122250, batch loss=0.025055, epoch loss=0.301465
Batch=779, step=18780, lr=0.122000, batch loss=0.047730, epoch loss=0.349195
Batch=839, step=18840, lr=0.121750, batch loss=0.080412, epoch loss=0.429607
Batch=899, step=18900, lr=0.121500, batch loss=0.034900, epoch loss=0.464507
Batch=959, step=18960, lr=0.121250, batch loss=0.013503, epoch loss=0.478010
Batch=1019, step=19020, lr=0.121000, batch loss=0.026067, epoch loss=0.504077
Batch=1079, step=19080, lr=0.120750, batch loss=0.012738, epoch loss=0.516814
Batch=1139, step=19140, lr=0.120500, batch loss=0.023302, epoch loss=0.540116
Batch=1199, step=19200, lr=0.120250, batch loss=0.009795, epoch loss=0.549911
Epoch=15, step=19200, lr=0.120250, epoch loss=0.549911
Batch=59, step=19260, lr=0.120000, batch loss=0.005546, epoch loss=0.005546
Batch=119, step=19320, lr=0.119750, batch loss=0.019713, epoch loss=0.025259
Batch=179, step=19380, lr=0.119500, batch loss=0.068438, epoch loss=0.093697
Batch=239, step=19440, lr=0.119250, batch loss=0.026909, epoch loss=0.120606
Batch=299, step=19500, lr=0.119000, batch loss=0.015765, epoch loss=0.136371
Batch=359, step=19560, lr=0.118750, batch loss=0.042138, epoch loss=0.178509
Batch=419, step=19620, lr=0.118500, batch loss=0.021688, epoch loss=0.200197
Batch=479, step=19680, lr=0.118250, batch loss=0.006426, epoch loss=0.206623
Batch=539, step=19740, lr=0.118000, batch loss=0.018194, epoch loss=0.224818
Batch=599, step=19800, lr=0.117750, batch loss=0.022054, epoch loss=0.246872
Batch=659, step=19860, lr=0.117500, batch loss=0.019906, epoch loss=0.266778
Batch=719, step=19920, lr=0.117250, batch loss=0.034809, epoch loss=0.301587
Batch=779, step=19980, lr=0.117000, batch loss=0.074053, epoch loss=0.375641
Batch=839, step=20040, lr=0.116750, batch loss=0.031786, epoch loss=0.407427
Batch=899, step=20100, lr=0.116500, batch loss=0.029345, epoch loss=0.436772
Batch=959, step=20160, lr=0.116250, batch loss=0.018859, epoch loss=0.455631
Batch=1019, step=20220, lr=0.116000, batch loss=0.024127, epoch loss=0.479758
Batch=1079, step=20280, lr=0.115750, batch loss=0.002459, epoch loss=0.482218
Batch=1139, step=20340, lr=0.115500, batch loss=0.015017, epoch loss=0.497234
Batch=1199, step=20400, lr=0.115250, batch loss=0.008135, epoch loss=0.505369
Epoch=16, step=20400, lr=0.115250, epoch loss=0.505369
Batch=59, step=20460, lr=0.115000, batch loss=0.004455, epoch loss=0.004455
Batch=119, step=20520, lr=0.114750, batch loss=0.012696, epoch loss=0.017151
Batch=179, step=20580, lr=0.114500, batch loss=0.024735, epoch loss=0.041886
Batch=239, step=20640, lr=0.114250, batch loss=0.014606, epoch loss=0.056492
Batch=299, step=20700, lr=0.114000, batch loss=0.003542, epoch loss=0.060035
Batch=359, step=20760, lr=0.113750, batch loss=0.013419, epoch loss=0.073454
Batch=419, step=20820, lr=0.113500, batch loss=0.015421, epoch loss=0.088875
Batch=479, step=20880, lr=0.113250, batch loss=0.003914, epoch loss=0.092788
Batch=539, step=20940, lr=0.113000, batch loss=0.019425, epoch loss=0.112214
Batch=599, step=21000, lr=0.112750, batch loss=0.020855, epoch loss=0.133069
Batch=659, step=21060, lr=0.112500, batch loss=0.019433, epoch loss=0.152502
Batch=719, step=21120, lr=0.112250, batch loss=0.047974, epoch loss=0.200476
Batch=779, step=21180, lr=0.112000, batch loss=0.070231, epoch loss=0.270706
Batch=839, step=21240, lr=0.111750, batch loss=0.024895, epoch loss=0.295601
Batch=899, step=21300, lr=0.111500, batch loss=0.026668, epoch loss=0.322269
Batch=959, step=21360, lr=0.111250, batch loss=0.010580, epoch loss=0.332849
Batch=1019, step=21420, lr=0.111000, batch loss=0.011331, epoch loss=0.344180
Batch=1079, step=21480, lr=0.110750, batch loss=0.001483, epoch loss=0.345663
Batch=1139, step=21540, lr=0.110500, batch loss=0.013215, epoch loss=0.358878
Batch=1199, step=21600, lr=0.110250, batch loss=0.005153, epoch loss=0.364031
Epoch=17, step=21600, lr=0.110250, epoch loss=0.364031
Batch=59, step=21660, lr=0.110000, batch loss=0.002672, epoch loss=0.002672
Batch=119, step=21720, lr=0.109750, batch loss=0.006992, epoch loss=0.009664
Batch=179, step=21780, lr=0.109500, batch loss=0.012860, epoch loss=0.022523
Batch=239, step=21840, lr=0.109250, batch loss=0.010022, epoch loss=0.032545
Batch=299, step=21900, lr=0.109000, batch loss=0.008935, epoch loss=0.041480
Batch=359, step=21960, lr=0.108750, batch loss=0.015687, epoch loss=0.057167
Batch=419, step=22020, lr=0.108500, batch loss=0.012286, epoch loss=0.069454
Batch=479, step=22080, lr=0.108250, batch loss=0.002945, epoch loss=0.072398
Batch=539, step=22140, lr=0.108000, batch loss=0.017682, epoch loss=0.090080
Batch=599, step=22200, lr=0.107750, batch loss=0.015572, epoch loss=0.105652
Batch=659, step=22260, lr=0.107500, batch loss=0.013742, epoch loss=0.119394
Batch=719, step=22320, lr=0.107250, batch loss=0.025408, epoch loss=0.144802
Batch=779, step=22380, lr=0.107000, batch loss=0.037692, epoch loss=0.182494
Batch=839, step=22440, lr=0.106750, batch loss=0.020710, epoch loss=0.203203
Batch=899, step=22500, lr=0.106500, batch loss=0.022730, epoch loss=0.225933
Batch=959, step=22560, lr=0.106250, batch loss=0.012384, epoch loss=0.238317
Batch=1019, step=22620, lr=0.106000, batch loss=0.009187, epoch loss=0.247503
Batch=1079, step=22680, lr=0.105750, batch loss=0.000000, epoch loss=0.247503
Batch=1139, step=22740, lr=0.105500, batch loss=0.009897, epoch loss=0.257400
Batch=1199, step=22800, lr=0.105250, batch loss=0.004483, epoch loss=0.261883
Epoch=18, step=22800, lr=0.105250, epoch loss=0.261883
Batch=59, step=22860, lr=0.105000, batch loss=0.002150, epoch loss=0.002150
Batch=119, step=22920, lr=0.104750, batch loss=0.005676, epoch loss=0.007826
Batch=179, step=22980, lr=0.104500, batch loss=0.010577, epoch loss=0.018403
Batch=239, step=23040, lr=0.104250, batch loss=0.012038, epoch loss=0.030442
Batch=299, step=23100, lr=0.104000, batch loss=0.007671, epoch loss=0.038113
Batch=359, step=23160, lr=0.103750, batch loss=0.011686, epoch loss=0.049799
Batch=419, step=23220, lr=0.103500, batch loss=0.010514, epoch loss=0.060313
Batch=479, step=23280, lr=0.103250, batch loss=0.002529, epoch loss=0.062842
Batch=539, step=23340, lr=0.103000, batch loss=0.017628, epoch loss=0.080470
Batch=599, step=23400, lr=0.102750, batch loss=0.013497, epoch loss=0.093967
Batch=659, step=23460, lr=0.102500, batch loss=0.012036, epoch loss=0.106003
Batch=719, step=23520, lr=0.102250, batch loss=0.013578, epoch loss=0.119581
Batch=779, step=23580, lr=0.102000, batch loss=0.021448, epoch loss=0.141029
Batch=839, step=23640, lr=0.101750, batch loss=0.026556, epoch loss=0.167585
Batch=899, step=23700, lr=0.101500, batch loss=0.021996, epoch loss=0.189581
Batch=959, step=23760, lr=0.101250, batch loss=0.009607, epoch loss=0.199187
Batch=1019, step=23820, lr=0.101000, batch loss=0.006886, epoch loss=0.206073
Batch=1079, step=23880, lr=0.100750, batch loss=0.001736, epoch loss=0.207809
Batch=1139, step=23940, lr=0.100500, batch loss=0.008211, epoch loss=0.216021
Batch=1199, step=24000, lr=0.100250, batch loss=0.004744, epoch loss=0.220764
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220764


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 20:32.13: Job failed: Failed: Build failed