alpine-3.21-5.3_opam-2.3

2025-05-21 11:49.13: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (0378b256a834c2e9ea65a59476fd32aec5f71dae) (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 0378b256
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 11:49.13: 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 11:49.13: 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 11:49.13: Waiting for resource in pool OCluster
2025-05-21 11:49.13: Waiting for worker…
2025-05-21 11:50.25: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 0378b256 When filtering stdout for log messages, forward non-log lines to the original stdout as soon as available.


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-21 11:50.25 ---> 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 11:50.25 ---> 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 11:50.25 ---> 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 11:50.25 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-21 11:50.25 ---> 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 11:50.25 ---> using "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-21 11:50.25 ---> 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 11:50.25 ---> using "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-21 11:50.25 ---> 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
- v3.21.3-506-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 11:50.25 ---> 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 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 11:50.25 ---> using "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf" from cache


/src: (copy (src .) (dst /src))
2025-05-21 11:50.26 ---> saved as "25cf513983b29195ae31548ef070a23462917e68cc2ec06e6e713a4d5185876f"


/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_expected.exe)


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/a0bba36a6c85d8ebf9b676aff8fe07f2/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/36e478ebfecfa4ce62e44f1b98f8c907/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/36e478ebfecfa4ce62e44f1b98f8c907/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=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880
Batch=299, step=300, lr=0.199000, batch loss=1.454974, epoch loss=37.071854
Batch=359, step=360, lr=0.198750, batch loss=1.328603, epoch loss=38.400457
Batch=419, step=420, lr=0.198500, batch loss=0.620952, epoch loss=39.021408
Batch=479, step=480, lr=0.198250, batch loss=0.818831, epoch loss=39.840239
Batch=539, step=540, lr=0.197750, batch loss=0.696589, epoch loss=40.536829
Batch=599, step=600, lr=0.197750, batch loss=1.058571, epoch loss=41.595400
Batch=659, step=660, lr=0.197500, batch loss=0.484959, epoch loss=42.080359
Batch=719, step=720, lr=0.197250, batch loss=0.412277, epoch loss=42.492637
Batch=779, step=780, lr=0.196750, batch loss=0.472191, epoch loss=42.964828
Batch=839, step=840, lr=0.196500, batch loss=0.448863, epoch loss=43.413690
Batch=899, step=900, lr=0.196500, batch loss=0.387556, epoch loss=43.801246
Batch=959, step=960, lr=0.196250, batch loss=0.252407, epoch loss=44.053654
Batch=1019, step=1020, lr=0.196000, batch loss=0.479144, epoch loss=44.532797
Batch=1079, step=1080, lr=0.195500, batch loss=0.260767, epoch loss=44.793564
Batch=1139, step=1140, lr=0.195500, batch loss=0.342085, epoch loss=45.135649
Batch=1199, step=1200, lr=0.195250, batch loss=0.265710, epoch loss=45.401358
Epoch=0, step=1200, lr=0.195250, epoch loss=45.401358
Batch=59, step=1260, lr=0.195000, batch loss=0.265137, epoch loss=0.265137
Batch=119, step=1320, lr=0.194750, batch loss=0.203772, epoch loss=0.468908
Batch=179, step=1380, lr=0.194250, batch loss=0.246751, epoch loss=0.715659
Batch=239, step=1440, lr=0.194250, batch loss=0.348746, epoch loss=1.064405
Batch=299, step=1500, lr=0.194000, batch loss=0.241804, epoch loss=1.306209
Batch=359, step=1560, lr=0.193750, batch loss=0.314697, epoch loss=1.620906
Batch=419, step=1620, lr=0.193500, batch loss=0.309765, epoch loss=1.930671
Batch=479, step=1680, lr=0.193250, batch loss=0.277156, epoch loss=2.207827
Batch=539, step=1740, lr=0.193000, batch loss=0.210316, epoch loss=2.418142
Batch=599, step=1800, lr=0.192750, batch loss=0.250278, epoch loss=2.668420
Batch=659, step=1860, lr=0.192500, batch loss=0.369132, epoch loss=3.037553
Batch=719, step=1920, lr=0.192000, batch loss=0.366666, epoch loss=3.404219
Batch=779, step=1980, lr=0.192000, batch loss=0.382013, epoch loss=3.786232
Batch=839, step=2040, lr=0.191750, batch loss=0.341401, epoch loss=4.127633
Batch=899, step=2100, lr=0.191500, batch loss=0.295531, epoch loss=4.423164
Batch=959, step=2160, lr=0.191250, batch loss=0.216597, epoch loss=4.639760
Batch=1019, step=2220, lr=0.191000, batch loss=0.327189, epoch loss=4.966949
Batch=1079, step=2280, lr=0.190750, batch loss=0.193824, epoch loss=5.160773
Batch=1139, step=2340, lr=0.190500, batch loss=0.256263, epoch loss=5.417037
Batch=1199, step=2400, lr=0.190250, batch loss=0.210735, epoch loss=5.627772
Epoch=1, step=2400, lr=0.190250, epoch loss=5.627772
Batch=59, step=2460, lr=0.189750, batch loss=0.229920, epoch loss=0.229920
Batch=119, step=2520, lr=0.189500, batch loss=0.198351, epoch loss=0.428271
Batch=179, step=2580, lr=0.189500, batch loss=0.219530, epoch loss=0.647801
Batch=239, step=2640, lr=0.189250, batch loss=0.327817, epoch loss=0.975618
Batch=299, step=2700, lr=0.189000, batch loss=0.205639, epoch loss=1.181257
Batch=359, step=2760, lr=0.188750, batch loss=0.291358, epoch loss=1.472614
Batch=419, step=2820, lr=0.188500, batch loss=0.281234, epoch loss=1.753848
Batch=479, step=2880, lr=0.188250, batch loss=0.258274, epoch loss=2.012122
Batch=539, step=2940, lr=0.187750, batch loss=0.198662, epoch loss=2.210784
Batch=599, step=3000, lr=0.187750, batch loss=0.240043, epoch loss=2.450827
Batch=659, step=3060, lr=0.187500, batch loss=0.347951, epoch loss=2.798778
Batch=719, step=3120, lr=0.187250, batch loss=0.345349, epoch loss=3.144127
Batch=779, step=3180, lr=0.187000, batch loss=0.366103, epoch loss=3.510230
Batch=839, step=3240, lr=0.186750, batch loss=0.322837, epoch loss=3.833067
Batch=899, step=3300, lr=0.186250, batch loss=0.291422, epoch loss=4.124488
Batch=959, step=3360, lr=0.186250, batch loss=0.232575, epoch loss=4.357063
Batch=1019, step=3420, lr=0.186000, batch loss=0.352226, epoch loss=4.709290
Batch=1079, step=3480, lr=0.185750, batch loss=0.223792, epoch loss=4.933082
Batch=1139, step=3540, lr=0.185500, batch loss=0.267411, epoch loss=5.200493
Batch=1199, step=3600, lr=0.185250, batch loss=0.198879, epoch loss=5.399371
Epoch=2, step=3600, lr=0.185250, epoch loss=5.399371
Batch=59, step=3660, lr=0.185000, batch loss=0.227665, epoch loss=0.227665
Batch=119, step=3720, lr=0.184500, batch loss=0.193527, epoch loss=0.421191
Batch=179, step=3780, lr=0.184250, batch loss=0.213189, epoch loss=0.634381
Batch=239, step=3840, lr=0.184250, batch loss=0.315997, epoch loss=0.950377
Batch=299, step=3900, lr=0.184000, batch loss=0.204468, epoch loss=1.154845
Batch=359, step=3960, lr=0.183750, batch loss=0.288918, epoch loss=1.443764
Batch=419, step=4020, lr=0.183500, batch loss=0.274929, epoch loss=1.718693
Batch=479, step=4080, lr=0.183250, batch loss=0.257661, epoch loss=1.976353
Batch=539, step=4140, lr=0.183000, batch loss=0.197248, epoch loss=2.173601
Batch=599, step=4200, lr=0.182750, batch loss=0.238991, epoch loss=2.412592
Batch=659, step=4260, lr=0.182250, batch loss=0.330421, epoch loss=2.743013
Batch=719, step=4320, lr=0.182250, batch loss=0.328170, epoch loss=3.071182
Batch=779, step=4380, lr=0.182000, batch loss=0.353053, epoch loss=3.424235
Batch=839, step=4440, lr=0.181750, batch loss=0.318165, epoch loss=3.742400
Batch=899, step=4500, lr=0.181500, batch loss=0.294012, epoch loss=4.036413
Batch=959, step=4560, lr=0.181250, batch loss=0.241164, epoch loss=4.277576
Batch=1019, step=4620, lr=0.180750, batch loss=0.350766, epoch loss=4.628343
Batch=1079, step=4680, lr=0.180750, batch loss=0.208813, epoch loss=4.837155
Batch=1139, step=4740, lr=0.180500, batch loss=0.249774, epoch loss=5.086929
Batch=1199, step=4800, lr=0.180250, batch loss=0.191682, epoch loss=5.278611
Epoch=3, step=4800, lr=0.180250, epoch loss=5.278611
Batch=59, step=4860, lr=0.180000, batch loss=0.227399, epoch loss=0.227399
Batch=119, step=4920, lr=0.179750, batch loss=0.184802, epoch loss=0.412201
Batch=179, step=4980, lr=0.179500, batch loss=0.206865, epoch loss=0.619067
Batch=239, step=5040, lr=0.179000, batch loss=0.308904, epoch loss=0.927971
Batch=299, step=5100, lr=0.179000, batch loss=0.208343, epoch loss=1.136314
Batch=359, step=5160, lr=0.178750, batch loss=0.273150, epoch loss=1.409465
Batch=419, step=5220, lr=0.178500, batch loss=0.264184, epoch loss=1.673648
Batch=479, step=5280, lr=0.178250, batch loss=0.240966, epoch loss=1.914614
Batch=539, step=5340, lr=0.178000, batch loss=0.189569, epoch loss=2.104183
Batch=599, step=5400, lr=0.177750, batch loss=0.231452, epoch loss=2.335635
Batch=659, step=5460, lr=0.177500, batch loss=0.321897, epoch loss=2.657532
Batch=719, step=5520, lr=0.177250, batch loss=0.320518, epoch loss=2.978050
Batch=779, step=5580, lr=0.177000, batch loss=0.342275, epoch loss=3.320325
Batch=839, step=5640, lr=0.176500, batch loss=0.310078, epoch loss=3.630402
Batch=899, step=5700, lr=0.176500, batch loss=0.270766, epoch loss=3.901168
Batch=959, step=5760, lr=0.176250, batch loss=0.219176, epoch loss=4.120344
Batch=1019, step=5820, lr=0.176000, batch loss=0.329535, epoch loss=4.449879
Batch=1079, step=5880, lr=0.175750, batch loss=0.182617, epoch loss=4.632495
Batch=1139, step=5940, lr=0.175250, batch loss=0.219746, epoch loss=4.852242
Batch=1199, step=6000, lr=0.175250, batch loss=0.187773, epoch loss=5.040014
Epoch=4, step=6000, lr=0.175250, epoch loss=5.040014
Batch=59, step=6060, lr=0.175000, batch loss=0.237303, epoch loss=0.237303
Batch=119, step=6120, lr=0.174750, batch loss=0.190850, epoch loss=0.428154
Batch=179, step=6180, lr=0.174500, batch loss=0.200635, epoch loss=0.628788
Batch=239, step=6240, lr=0.174250, batch loss=0.300873, epoch loss=0.929662
Batch=299, step=6300, lr=0.174000, batch loss=0.213516, epoch loss=1.143177
Batch=359, step=6360, lr=0.173750, batch loss=0.272419, epoch loss=1.415596
Batch=419, step=6420, lr=0.173500, batch loss=0.268127, epoch loss=1.683723
Batch=479, step=6480, lr=0.173250, batch loss=0.242026, epoch loss=1.925749
Batch=539, step=6540, lr=0.173000, batch loss=0.196909, epoch loss=2.122658
Batch=599, step=6600, lr=0.172750, batch loss=0.231819, epoch loss=2.354477
Batch=659, step=6660, lr=0.172500, batch loss=0.313780, epoch loss=2.668257
Batch=719, step=6720, lr=0.172250, batch loss=0.317301, epoch loss=2.985558
Batch=779, step=6780, lr=0.172000, batch loss=0.330889, epoch loss=3.316447
Batch=839, step=6840, lr=0.171750, batch loss=0.307029, epoch loss=3.623476
Batch=899, step=6900, lr=0.171500, batch loss=0.268734, epoch loss=3.892211
Batch=959, step=6960, lr=0.171000, batch loss=0.208776, epoch loss=4.100986
Batch=1019, step=7020, lr=0.171000, batch loss=0.328489, epoch loss=4.429475
Batch=1079, step=7080, lr=0.170750, batch loss=0.183395, epoch loss=4.612870
Batch=1139, step=7140, lr=0.170500, batch loss=0.216193, epoch loss=4.829063
Batch=1199, step=7200, lr=0.170250, batch loss=0.182262, epoch loss=5.011325
Epoch=5, step=7200, lr=0.170250, epoch loss=5.011325
Batch=59, step=7260, lr=0.170000, batch loss=0.235480, epoch loss=0.235480
Batch=119, step=7320, lr=0.169750, batch loss=0.183071, epoch loss=0.418552
Batch=179, step=7380, lr=0.169500, batch loss=0.196302, epoch loss=0.614854
Batch=239, step=7440, lr=0.169250, batch loss=0.294618, epoch loss=0.909472
Batch=299, step=7500, lr=0.169000, batch loss=0.203301, epoch loss=1.112773
Batch=359, step=7560, lr=0.168750, batch loss=0.264704, epoch loss=1.377477
Batch=419, step=7620, lr=0.168500, batch loss=0.257329, epoch loss=1.634806
Batch=479, step=7680, lr=0.168250, batch loss=0.236375, epoch loss=1.871181
Batch=539, step=7740, lr=0.168000, batch loss=0.189057, epoch loss=2.060239
Batch=599, step=7800, lr=0.167750, batch loss=0.224439, epoch loss=2.284678
Batch=659, step=7860, lr=0.167500, batch loss=0.305217, epoch loss=2.589895
Batch=719, step=7920, lr=0.167000, batch loss=0.307687, epoch loss=2.897581
Batch=779, step=7980, lr=0.167000, batch loss=0.320799, epoch loss=3.218380
Batch=839, step=8040, lr=0.166750, batch loss=0.296566, epoch loss=3.514946
Batch=899, step=8100, lr=0.166500, batch loss=0.258886, epoch loss=3.773831
Batch=959, step=8160, lr=0.166250, batch loss=0.208162, epoch loss=3.981993
Batch=1019, step=8220, lr=0.166000, batch loss=0.315694, epoch loss=4.297688
Batch=1079, step=8280, lr=0.165500, batch loss=0.170462, epoch loss=4.468150
Batch=1139, step=8340, lr=0.165500, batch loss=0.206764, epoch loss=4.674914
Batch=1199, step=8400, lr=0.165250, batch loss=0.178606, epoch loss=4.853520
Epoch=6, step=8400, lr=0.165250, epoch loss=4.853520
Batch=59, step=8460, lr=0.165000, batch loss=0.228057, epoch loss=0.228057
Batch=119, step=8520, lr=0.164750, batch loss=0.176026, epoch loss=0.404083
Batch=179, step=8580, lr=0.164500, batch loss=0.187810, epoch loss=0.591893
Batch=239, step=8640, lr=0.164250, batch loss=0.279460, epoch loss=0.871353
Batch=299, step=8700, lr=0.164000, batch loss=0.199148, epoch loss=1.070501
Batch=359, step=8760, lr=0.163750, batch loss=0.253041, epoch loss=1.323541
Batch=419, step=8820, lr=0.163500, batch loss=0.247395, epoch loss=1.570937
Batch=479, step=8880, lr=0.163250, batch loss=0.227545, epoch loss=1.798481
Batch=539, step=8940, lr=0.162750, batch loss=0.180679, epoch loss=1.979160
Batch=599, step=9000, lr=0.162750, batch loss=0.215818, epoch loss=2.194978
Batch=659, step=9060, lr=0.162500, batch loss=0.294293, epoch loss=2.489271
Batch=719, step=9120, lr=0.162250, batch loss=0.294641, epoch loss=2.783912
Batch=779, step=9180, lr=0.162000, batch loss=0.315930, epoch loss=3.099842
Batch=839, step=9240, lr=0.161750, batch loss=0.284380, epoch loss=3.384223
Batch=899, step=9300, lr=0.161500, batch loss=0.252813, epoch loss=3.637036
Batch=959, step=9360, lr=0.161250, batch loss=0.208415, epoch loss=3.845451
Batch=1019, step=9420, lr=0.161000, batch loss=0.298552, epoch loss=4.144003
Batch=1079, step=9480, lr=0.160750, batch loss=0.173766, epoch loss=4.317769
Batch=1139, step=9540, lr=0.160500, batch loss=0.201197, epoch loss=4.518966
Batch=1199, step=9600, lr=0.160250, batch loss=0.164035, epoch loss=4.683001
Epoch=7, step=9600, lr=0.160250, epoch loss=4.683001
Batch=59, step=9660, lr=0.160000, batch loss=0.188149, epoch loss=0.188149
Batch=119, step=9720, lr=0.159750, batch loss=0.158552, epoch loss=0.346701
Batch=179, step=9780, lr=0.159500, batch loss=0.177759, epoch loss=0.524460
Batch=239, step=9840, lr=0.159250, batch loss=0.261602, epoch loss=0.786062
Batch=299, step=9900, lr=0.159000, batch loss=0.182403, epoch loss=0.968465
Batch=359, step=9960, lr=0.158750, batch loss=0.243504, epoch loss=1.211970
Batch=419, step=10020, lr=0.158500, batch loss=0.250084, epoch loss=1.462054
Batch=479, step=10080, lr=0.158250, batch loss=0.217149, epoch loss=1.679203
Batch=539, step=10140, lr=0.158000, batch loss=0.170503, epoch loss=1.849706
Batch=599, step=10200, lr=0.157750, batch loss=0.206293, epoch loss=2.055999
Batch=659, step=10260, lr=0.157500, batch loss=0.277526, epoch loss=2.333524
Batch=719, step=10320, lr=0.157250, batch loss=0.277198, epoch loss=2.610722
Batch=779, step=10380, lr=0.157000, batch loss=0.289321, epoch loss=2.900043
Batch=839, step=10440, lr=0.156750, batch loss=0.270497, epoch loss=3.170540
Batch=899, step=10500, lr=0.156500, batch loss=0.235347, epoch loss=3.405887
Batch=959, step=10560, lr=0.156250, batch loss=0.179761, epoch loss=3.585648
Batch=1019, step=10620, lr=0.156000, batch loss=0.293502, epoch loss=3.879150
Batch=1079, step=10680, lr=0.155750, batch loss=0.185374, epoch loss=4.064524
Batch=1139, step=10740, lr=0.155500, batch loss=0.197112, epoch loss=4.261636
Batch=1199, step=10800, lr=0.155250, batch loss=0.154537, epoch loss=4.416173
Epoch=8, step=10800, lr=0.155250, epoch loss=4.416173
Batch=59, step=10860, lr=0.155000, batch loss=0.173568, epoch loss=0.173568
Batch=119, step=10920, lr=0.154750, batch loss=0.142187, epoch loss=0.315755
Batch=179, step=10980, lr=0.154500, batch loss=0.163607, epoch loss=0.479363
Batch=239, step=11040, lr=0.154250, batch loss=0.241050, epoch loss=0.720413
Batch=299, step=11100, lr=0.154000, batch loss=0.165598, epoch loss=0.886011
Batch=359, step=11160, lr=0.153750, batch loss=0.221781, epoch loss=1.107792
Batch=419, step=11220, lr=0.153250, batch loss=0.221607, epoch loss=1.329399
Batch=479, step=11280, lr=0.153250, batch loss=0.208064, epoch loss=1.537463
Batch=539, step=11340, lr=0.153000, batch loss=0.166830, epoch loss=1.704293
Batch=599, step=11400, lr=0.152750, batch loss=0.178040, epoch loss=1.882333
Batch=659, step=11460, lr=0.152500, batch loss=0.263772, epoch loss=2.146105
Batch=719, step=11520, lr=0.152250, batch loss=0.254791, epoch loss=2.400896
Batch=779, step=11580, lr=0.152000, batch loss=0.271066, epoch loss=2.671962
Batch=839, step=11640, lr=0.151500, batch loss=0.254721, epoch loss=2.926683
Batch=899, step=11700, lr=0.151500, batch loss=0.211502, epoch loss=3.138186
Batch=959, step=11760, lr=0.151250, batch loss=0.165972, epoch loss=3.304157
Batch=1019, step=11820, lr=0.151000, batch loss=0.263204, epoch loss=3.567362
Batch=1079, step=11880, lr=0.150750, batch loss=0.140260, epoch loss=3.707621
Batch=1139, step=11940, lr=0.150500, batch loss=0.183922, epoch loss=3.891543
Batch=1199, step=12000, lr=0.150250, batch loss=0.138047, epoch loss=4.029590
Epoch=9, step=12000, lr=0.150250, epoch loss=4.029590
Batch=59, step=12060, lr=0.150000, batch loss=0.156489, epoch loss=0.156489
Batch=119, step=12120, lr=0.149750, batch loss=0.127643, epoch loss=0.284132
Batch=179, step=12180, lr=0.149500, batch loss=0.149691, epoch loss=0.433823
Batch=239, step=12240, lr=0.149250, batch loss=0.222395, epoch loss=0.656219
Batch=299, step=12300, lr=0.149000, batch loss=0.145064, epoch loss=0.801283
Batch=359, step=12360, lr=0.148750, batch loss=0.194307, epoch loss=0.995590
Batch=419, step=12420, lr=0.148500, batch loss=0.205377, epoch loss=1.200967
Batch=479, step=12480, lr=0.148000, batch loss=0.177056, epoch loss=1.378023
Batch=539, step=12540, lr=0.148000, batch loss=0.141647, epoch loss=1.519670
Batch=599, step=12600, lr=0.147750, batch loss=0.148319, epoch loss=1.667989
Batch=659, step=12660, lr=0.147500, batch loss=0.223586, epoch loss=1.891574
Batch=719, step=12720, lr=0.147250, batch loss=0.229293, epoch loss=2.120867
Batch=779, step=12780, lr=0.147000, batch loss=0.254316, epoch loss=2.375183
Batch=839, step=12840, lr=0.146750, batch loss=0.230910, epoch loss=2.606093
Batch=899, step=12900, lr=0.146500, batch loss=0.220631, epoch loss=2.826724
Batch=959, step=12960, lr=0.146250, batch loss=0.143250, epoch loss=2.969974
Batch=1019, step=13020, lr=0.146000, batch loss=0.241993, epoch loss=3.211967
Batch=1079, step=13080, lr=0.145750, batch loss=0.110033, epoch loss=3.322000
Batch=1139, step=13140, lr=0.145250, batch loss=0.148137, epoch loss=3.470137
Batch=1199, step=13200, lr=0.145250, batch loss=0.114701, epoch loss=3.584839
Epoch=10, step=13200, lr=0.145250, epoch loss=3.584839
Batch=59, step=13260, lr=0.145000, batch loss=0.136669, epoch loss=0.136669
Batch=119, step=13320, lr=0.144750, batch loss=0.122213, epoch loss=0.258882
Batch=179, step=13380, lr=0.144500, batch loss=0.127014, epoch loss=0.385896
Batch=239, step=13440, lr=0.144250, batch loss=0.188801, epoch loss=0.574697
Batch=299, step=13500, lr=0.144000, batch loss=0.115610, epoch loss=0.690307
Batch=359, step=13560, lr=0.143500, batch loss=0.157747, epoch loss=0.848054
Batch=419, step=13620, lr=0.143500, batch loss=0.159557, epoch loss=1.007611
Batch=479, step=13680, lr=0.143250, batch loss=0.143615, epoch loss=1.151226
Batch=539, step=13740, lr=0.143000, batch loss=0.116817, epoch loss=1.268043
Batch=599, step=13800, lr=0.142750, batch loss=0.117300, epoch loss=1.385343
Batch=659, step=13860, lr=0.142500, batch loss=0.172385, epoch loss=1.557729
Batch=719, step=13920, lr=0.142250, batch loss=0.174059, epoch loss=1.731787
Batch=779, step=13980, lr=0.142000, batch loss=0.194267, epoch loss=1.926055
Batch=839, step=14040, lr=0.141750, batch loss=0.204764, epoch loss=2.130819
Batch=899, step=14100, lr=0.141500, batch loss=0.220034, epoch loss=2.350852
Batch=959, step=14160, lr=0.141250, batch loss=0.098672, epoch loss=2.449525
Batch=1019, step=14220, lr=0.141000, batch loss=0.197382, epoch loss=2.646907
Batch=1079, step=14280, lr=0.140750, batch loss=0.074829, epoch loss=2.721736
Batch=1139, step=14340, lr=0.140500, batch loss=0.119159, epoch loss=2.840895
Batch=1199, step=14400, lr=0.140250, batch loss=0.081637, epoch loss=2.922532
Epoch=11, step=14400, lr=0.140250, epoch loss=2.922532
Batch=59, step=14460, lr=0.140000, batch loss=0.107100, epoch loss=0.107100
Batch=119, step=14520, lr=0.139750, batch loss=0.109722, epoch loss=0.216821
Batch=179, step=14580, lr=0.139250, batch loss=0.101017, epoch loss=0.317838
Batch=239, step=14640, lr=0.139250, batch loss=0.135412, epoch loss=0.453250
Batch=299, step=14700, lr=0.139000, batch loss=0.075513, epoch loss=0.528763
Batch=359, step=14760, lr=0.138750, batch loss=0.114540, epoch loss=0.643302
Batch=419, step=14820, lr=0.138500, batch loss=0.128357, epoch loss=0.771660
Batch=479, step=14880, lr=0.138250, batch loss=0.096380, epoch loss=0.868040
Batch=539, step=14940, lr=0.138000, batch loss=0.108827, epoch loss=0.976867
Batch=599, step=15000, lr=0.137750, batch loss=0.081305, epoch loss=1.058172
Batch=659, step=15060, lr=0.137500, batch loss=0.122343, epoch loss=1.180516
Batch=719, step=15120, lr=0.137250, batch loss=0.119585, epoch loss=1.300100
Batch=779, step=15180, lr=0.137000, batch loss=0.130699, epoch loss=1.430799
Batch=839, step=15240, lr=0.136750, batch loss=0.169759, epoch loss=1.600558
Batch=899, step=15300, lr=0.136500, batch loss=0.298367, epoch loss=1.898925
Batch=959, step=15360, lr=0.136250, batch loss=0.056362, epoch loss=1.955287
Batch=1019, step=15420, lr=0.136000, batch loss=0.135824, epoch loss=2.091111
Batch=1079, step=15480, lr=0.135750, batch loss=0.049854, epoch loss=2.140965
Batch=1139, step=15540, lr=0.135500, batch loss=0.106683, epoch loss=2.247649
Batch=1199, step=15600, lr=0.135000, batch loss=0.060338, epoch loss=2.307987
Epoch=12, step=15600, lr=0.135000, epoch loss=2.307987
Batch=59, step=15660, lr=0.135000, batch loss=0.082319, epoch loss=0.082319
Batch=119, step=15720, lr=0.134750, batch loss=0.115440, epoch loss=0.197759
Batch=179, step=15780, lr=0.134500, batch loss=0.093166, epoch loss=0.290925
Batch=239, step=15840, lr=0.134250, batch loss=0.093195, epoch loss=0.384120
Batch=299, step=15900, lr=0.134000, batch loss=0.037096, epoch loss=0.421216
Batch=359, step=15960, lr=0.133750, batch loss=0.078517, epoch loss=0.499733
Batch=419, step=16020, lr=0.133500, batch loss=0.075639, epoch loss=0.575372
Batch=479, step=16080, lr=0.133250, batch loss=0.059644, epoch loss=0.635016
Batch=539, step=16140, lr=0.132750, batch loss=0.062058, epoch loss=0.697074
Batch=599, step=16200, lr=0.132750, batch loss=0.149165, epoch loss=0.846239
Batch=659, step=16260, lr=0.132500, batch loss=0.086483, epoch loss=0.932722
Batch=719, step=16320, lr=0.132250, batch loss=0.112721, epoch loss=1.045443
Batch=779, step=16380, lr=0.132000, batch loss=0.271162, epoch loss=1.316605
Batch=839, step=16440, lr=0.131750, batch loss=0.087476, epoch loss=1.404081
Batch=899, step=16500, lr=0.131500, batch loss=0.073503, epoch loss=1.477584
Batch=959, step=16560, lr=0.131000, batch loss=0.029861, epoch loss=1.507446
Batch=1019, step=16620, lr=0.131000, batch loss=0.069890, epoch loss=1.577335
Batch=1079, step=16680, lr=0.130500, batch loss=0.038804, epoch loss=1.616139
Batch=1139, step=16740, lr=0.130500, batch loss=0.078634, epoch loss=1.694773
Batch=1199, step=16800, lr=0.130250, batch loss=0.034362, epoch loss=1.729135
Epoch=13, step=16800, lr=0.130250, epoch loss=1.729135
Batch=59, step=16860, lr=0.130000, batch loss=0.033219, epoch loss=0.033219
Batch=119, step=16920, lr=0.129750, batch loss=0.034458, epoch loss=0.067676
Batch=179, step=16980, lr=0.129500, batch loss=0.041030, epoch loss=0.108706
Batch=239, step=17040, lr=0.129250, batch loss=0.054609, epoch loss=0.163316
Batch=299, step=17100, lr=0.129000, batch loss=0.019583, epoch loss=0.182899
Batch=359, step=17160, lr=0.128750, batch loss=0.040968, epoch loss=0.223867
Batch=419, step=17220, lr=0.128500, batch loss=0.057869, epoch loss=0.281736
Batch=479, step=17280, lr=0.128250, batch loss=0.023796, epoch loss=0.305531
Batch=539, step=17340, lr=0.128000, batch loss=0.038464, epoch loss=0.343995
Batch=599, step=17400, lr=0.127750, batch loss=0.033059, epoch loss=0.377054
Batch=659, step=17460, lr=0.127250, batch loss=0.044470, epoch loss=0.421525
Batch=719, step=17520, lr=0.127250, batch loss=0.047968, epoch loss=0.469493
Batch=779, step=17580, lr=0.127000, batch loss=0.084875, epoch loss=0.554368
Batch=839, step=17640, lr=0.126750, batch loss=0.220625, epoch loss=0.774994
Batch=899, step=17700, lr=0.126500, batch loss=0.051408, epoch loss=0.826402
Batch=959, step=17760, lr=0.126250, batch loss=0.023710, epoch loss=0.850112
Batch=1019, step=17820, lr=0.126000, batch loss=0.047636, epoch loss=0.897748
Batch=1079, step=17880, lr=0.125750, batch loss=0.015901, epoch loss=0.913649
Batch=1139, step=17940, lr=0.125500, batch loss=0.038331, epoch loss=0.951981
Batch=1199, step=18000, lr=0.125250, batch loss=0.018010, epoch loss=0.969991
Epoch=14, step=18000, lr=0.125250, epoch loss=0.969991
Batch=59, step=18060, lr=0.125000, batch loss=0.012231, epoch loss=0.012231
Batch=119, step=18120, lr=0.124750, batch loss=0.018060, epoch loss=0.030291
Batch=179, step=18180, lr=0.124500, batch loss=0.028503, epoch loss=0.058794
Batch=239, step=18240, lr=0.124250, batch loss=0.032468, epoch loss=0.091262
Batch=299, step=18300, lr=0.123750, batch loss=0.009279, epoch loss=0.100540
Batch=359, step=18360, lr=0.123750, batch loss=0.024128, epoch loss=0.124669
Batch=419, step=18420, lr=0.123500, batch loss=0.026691, epoch loss=0.151360
Batch=479, step=18480, lr=0.123250, batch loss=0.011458, epoch loss=0.162818
Batch=539, step=18540, lr=0.123000, batch loss=0.020891, epoch loss=0.183709
Batch=599, step=18600, lr=0.122750, batch loss=0.028606, epoch loss=0.212316
Batch=659, step=18660, lr=0.122500, batch loss=0.026444, epoch loss=0.238760
Batch=719, step=18720, lr=0.122250, batch loss=0.026440, epoch loss=0.265200
Batch=779, step=18780, lr=0.122000, batch loss=0.059820, epoch loss=0.325020
Batch=839, step=18840, lr=0.121750, batch loss=0.098559, epoch loss=0.423579
Batch=899, step=18900, lr=0.121500, batch loss=0.033226, epoch loss=0.456805
Batch=959, step=18960, lr=0.121000, batch loss=0.015542, epoch loss=0.472346
Batch=1019, step=19020, lr=0.121000, batch loss=0.032169, epoch loss=0.504515
Batch=1079, step=19080, lr=0.120750, batch loss=0.014029, epoch loss=0.518544
Batch=1139, step=19140, lr=0.120500, batch loss=0.023779, epoch loss=0.542323
Batch=1199, step=19200, lr=0.120250, batch loss=0.010258, epoch loss=0.552581
Epoch=15, step=19200, lr=0.120250, epoch loss=0.552581
Batch=59, step=19260, lr=0.119750, batch loss=0.005497, epoch loss=0.005497
Batch=119, step=19320, lr=0.119500, batch loss=0.015052, epoch loss=0.020550
Batch=179, step=19380, lr=0.119500, batch loss=0.031086, epoch loss=0.051636
Batch=239, step=19440, lr=0.119250, batch loss=0.021450, epoch loss=0.073085
Batch=299, step=19500, lr=0.118750, batch loss=0.004734, epoch loss=0.077819
Batch=359, step=19560, lr=0.118500, batch loss=0.017788, epoch loss=0.095607
Batch=419, step=19620, lr=0.118500, batch loss=0.018812, epoch loss=0.114419
Batch=479, step=19680, lr=0.118250, batch loss=0.006864, epoch loss=0.121283
Batch=539, step=19740, lr=0.118000, batch loss=0.016881, epoch loss=0.138164
Batch=599, step=19800, lr=0.117750, batch loss=0.022175, epoch loss=0.160338
Batch=659, step=19860, lr=0.117500, batch loss=0.019199, epoch loss=0.179538
Batch=719, step=19920, lr=0.117250, batch loss=0.043793, epoch loss=0.223331
Batch=779, step=19980, lr=0.117000, batch loss=0.087759, epoch loss=0.311090
Batch=839, step=20040, lr=0.116750, batch loss=0.031626, epoch loss=0.342716
Batch=899, step=20100, lr=0.116250, batch loss=0.027545, epoch loss=0.370261
Batch=959, step=20160, lr=0.116000, batch loss=0.016209, epoch loss=0.386470
Batch=1019, step=20220, lr=0.116000, batch loss=0.021477, epoch loss=0.407947
Batch=1079, step=20280, lr=0.115750, batch loss=0.003670, epoch loss=0.411618
Batch=1139, step=20340, lr=0.115500, batch loss=0.017016, epoch loss=0.428634
Batch=1199, step=20400, lr=0.115250, batch loss=0.008096, epoch loss=0.436730
Epoch=16, step=20400, lr=0.115250, epoch loss=0.436730
Batch=59, step=20460, lr=0.114750, batch loss=0.003839, epoch loss=0.003839
Batch=119, step=20520, lr=0.114750, batch loss=0.008100, epoch loss=0.011939
Batch=179, step=20580, lr=0.114500, batch loss=0.015479, epoch loss=0.027418
Batch=239, step=20640, lr=0.114250, batch loss=0.012528, epoch loss=0.039946
Batch=299, step=20700, lr=0.114000, batch loss=0.006086, epoch loss=0.046033
Batch=359, step=20760, lr=0.113750, batch loss=0.019763, epoch loss=0.065796
Batch=419, step=20820, lr=0.113250, batch loss=0.015093, epoch loss=0.080889
Batch=479, step=20880, lr=0.113250, batch loss=0.005454, epoch loss=0.086343
Batch=539, step=20940, lr=0.113000, batch loss=0.025327, epoch loss=0.111670
Batch=599, step=21000, lr=0.112750, batch loss=0.022287, epoch loss=0.133957
Batch=659, step=21060, lr=0.112500, batch loss=0.016096, epoch loss=0.150053
Batch=719, step=21120, lr=0.112250, batch loss=0.035280, epoch loss=0.185333
Batch=779, step=21180, lr=0.112000, batch loss=0.059587, epoch loss=0.244920
Batch=839, step=21240, lr=0.111750, batch loss=0.024990, epoch loss=0.269909
Batch=899, step=21300, lr=0.111500, batch loss=0.028861, epoch loss=0.298770
Batch=959, step=21360, lr=0.111250, batch loss=0.010192, epoch loss=0.308962
Batch=1019, step=21420, lr=0.111000, batch loss=0.011863, epoch loss=0.320825
Batch=1079, step=21480, lr=0.110750, batch loss=0.002284, epoch loss=0.323109
Batch=1139, step=21540, lr=0.110500, batch loss=0.012339, epoch loss=0.335448
Batch=1199, step=21600, lr=0.110250, batch loss=0.004985, epoch loss=0.340433
Epoch=17, step=21600, lr=0.110250, epoch loss=0.340433
Batch=59, step=21660, lr=0.110000, batch loss=0.002181, epoch loss=0.002181
Batch=119, step=21720, lr=0.109750, batch loss=0.006746, epoch loss=0.008927
Batch=179, step=21780, lr=0.109500, batch loss=0.012496, epoch loss=0.021424
Batch=239, step=21840, lr=0.109250, batch loss=0.009235, epoch loss=0.030658
Batch=299, step=21900, lr=0.109000, batch loss=0.006953, epoch loss=0.037611
Batch=359, step=21960, lr=0.108750, batch loss=0.014970, epoch loss=0.052581
Batch=419, step=22020, lr=0.108500, batch loss=0.012072, epoch loss=0.064653
Batch=479, step=22080, lr=0.108250, batch loss=0.002868, epoch loss=0.067522
Batch=539, step=22140, lr=0.108000, batch loss=0.018778, epoch loss=0.086300
Batch=599, step=22200, lr=0.107750, batch loss=0.016841, epoch loss=0.103141
Batch=659, step=22260, lr=0.107500, batch loss=0.017060, epoch loss=0.120201
Batch=719, step=22320, lr=0.107250, batch loss=0.028268, epoch loss=0.148469
Batch=779, step=22380, lr=0.107000, batch loss=0.049899, epoch loss=0.198368
Batch=839, step=22440, lr=0.106750, batch loss=0.020987, epoch loss=0.219356
Batch=899, step=22500, lr=0.106500, batch loss=0.022198, epoch loss=0.241553
Batch=959, step=22560, lr=0.106000, batch loss=0.010017, epoch loss=0.251570
Batch=1019, step=22620, lr=0.106000, batch loss=0.009711, epoch loss=0.261282
Batch=1079, step=22680, lr=0.105750, batch loss=0.000977, epoch loss=0.262258
Batch=1139, step=22740, lr=0.105500, batch loss=0.011350, epoch loss=0.273608
Batch=1199, step=22800, lr=0.105250, batch loss=0.004611, epoch loss=0.278219
Epoch=18, step=22800, lr=0.105250, epoch loss=0.278219
Batch=59, step=22860, lr=0.105000, batch loss=0.001522, epoch loss=0.001522
Batch=119, step=22920, lr=0.104750, batch loss=0.005485, epoch loss=0.007007
Batch=179, step=22980, lr=0.104500, batch loss=0.010212, epoch loss=0.017219
Batch=239, step=23040, lr=0.104250, batch loss=0.009731, epoch loss=0.026949
Batch=299, step=23100, lr=0.104000, batch loss=0.010015, epoch loss=0.036964
Batch=359, step=23160, lr=0.103750, batch loss=0.011667, epoch loss=0.048631
Batch=419, step=23220, lr=0.103500, batch loss=0.010948, epoch loss=0.059579
Batch=479, step=23280, lr=0.103250, batch loss=0.002517, epoch loss=0.062096
Batch=539, step=23340, lr=0.103000, batch loss=0.018284, epoch loss=0.080380
Batch=599, step=23400, lr=0.102750, batch loss=0.013596, epoch loss=0.093977
Batch=659, step=23460, lr=0.102500, batch loss=0.011230, epoch loss=0.105207
Batch=719, step=23520, lr=0.102250, batch loss=0.011285, epoch loss=0.116492
Batch=779, step=23580, lr=0.102000, batch loss=0.018524, epoch loss=0.135016
Batch=839, step=23640, lr=0.101750, batch loss=0.027468, epoch loss=0.162484
Batch=899, step=23700, lr=0.101500, batch loss=0.021565, epoch loss=0.184048
Batch=959, step=23760, lr=0.101250, batch loss=0.010860, epoch loss=0.194909
Batch=1019, step=23820, lr=0.100750, batch loss=0.008064, epoch loss=0.202973
Batch=1079, step=23880, lr=0.100750, batch loss=0.000079, epoch loss=0.203052
Batch=1139, step=23940, lr=0.100500, batch loss=0.009151, epoch loss=0.212203
Batch=1199, step=24000, lr=0.100250, batch loss=0.004252, epoch loss=0.216455
Epoch=19, step=24000, lr=0.100250, epoch loss=0.216455


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 11:51.45: Job failed: Failed: Build failed