alpine-3.21-5.3_opam-2.3

2025-06-13 17:53.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (7055a683aaa05f3b7b2d1d7c510765df431432fe) (linux-x86_64:alpine-3.21-5.3_opam-2.3)
Base: ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 7055a683
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613
# 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 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && 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.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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


2025-06-13 17:53.55: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613-alpine-3.21-5.3_opam-2.3-47205dcdf67be5146e41cc1eb1d39162"
2025-06-13 17:53.55: Using OBuilder spec:
((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613)
(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 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && 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.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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"))
)


2025-06-13 17:53.55: Waiting for resource in pool OCluster
2025-06-13 17:53.55: Waiting for worker…
2025-06-13 17:53.55: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 7055a683 Tiny cleanup


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:3343dcc8eef8cc135210194424c75ebe26927358b1a48d0c3c0860cfe43df613)
2025-06-13 17:53.57 ---> using "3141b9cf5ba038771635d2742247938bc41e269100016f85aeafaf7cfcddc947" 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"))
2025-06-13 17:53.57 ---> using "80b751ed47c43451e88cd0293ed9a635ccea08011eeda4114e7ec036c06c48a3" 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
[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
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-06-13 17:53.57 ---> using "6c30ca4e379a499434293ac7ae4ccb6757139c93d8bc5916b7557572123e5ba0" 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
2025-06-13 17:53.57 ---> using "a3df42546ff5706a2753d5e221aadf5e7ea87ec715342ceb488042e5402600c3" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-06-13 17:53.57 ---> using "17ab95ba4820eaae0552c498f14e3328c5320ed844b460f0519c8783adab646a" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 || git fetch origin master) && git reset -q --hard 59e7a58f9d7d6cc1f4da2e23f40e7e0ac1426f77 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
bc726805e3..59e7a58f9d  master     -> origin/master
59e7a58f9d Merge pull request #28012 from dkalinichenko-js/opam-publish-base.v0.17.3


<><> 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)
2025-06-13 17:53.57 ---> using "2efcc1c193e245b43863b78e4f20ce4350769c8520442a867bc0d4c9deb04004" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-06-13 17:53.57 ---> using "1809c22ba5b306f885487e9535dfb8a622a9768a807e00f24024e21bb2abded1" 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)
2025-06-13 17:53.57 ---> using "9c1ede3c53c0f21806704ed1aec18d204533e7a62d6b010f67688d9a7e5ff687" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-06-13 17:53.57 ---> using "4ff1723ad3dd2262a1e93b483ceb8b10c9104a55abd3c35b7c5c3d2a7bfeb3be" from cache


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.3 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.3.19.1 dune-configurator.3.19.1 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.4.0.1 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
- v3.21.3-603-g364e1f9788f [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-604-g9591d5a3077 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v3.23.0_alpha20250612-95-g79682f6f9b6 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v3.23.0_alpha20250612-113-g440adf9352e [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v3.23.0_alpha20250612-113-g440adf9352e [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58712 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
2025-06-13 17:53.57 ---> using "3d3ad27ac3afecea09cd5fd14f58257cebd14dc819e3377a913c423c280deb0f" 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                    v0.17.3
- 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                    3.19.1
- install dune-configurator       3.19.1
- 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           4.0.1
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install pprint                  20230830
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.2.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.3  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.1  (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 dune.3.19.1, dune-configurator.3.19.1  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (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 ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.19.1
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-version.4.0.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed cppo.1.8.0
-> installed printbox.0.12
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed dune-configurator.3.19.1
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.3
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-06-13 17:53.57 ---> using "5a6f5080515ffdbec0e41691627816412dfcc090b5080218654fffdf22ce8043" from cache


/src: (copy (src .) (dst /src))
2025-06-13 17:53.57 ---> saved as "5f4df7251082a846bfe359865c9eef0a19cc219da9aa798a7a70b46479c9e783"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
File "arrayjit/test/dune", line 6, characters 7-15:
6 |   (pps ppx_jane)))
^^^^^^^^
Error: Library "ppx_jane" not found.
-> required by
_build/default/arrayjit/test/.merlin-conf/exe-test_numerical_types
-> required by alias arrayjit/test/check
(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
File "test/test_print_style.expected", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/test_print_style.expected _build/default/test/test_print_style.output
diff --git a/_build/default/test/test_print_style.expected b/_build/default/test/test_print_style.output
index 83b0c23..c55c8ad 100644
--- a/_build/default/test/test_print_style.expected
+++ b/_build/default/test/test_print_style.output
@@ -1,5 +1,5 @@


-Welcome to OCANNL! Reading configuration defaults from /Users/lukstafi/ocannl/_build/default/test/ocannl_config.
+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
Testing print_style functionality:
@@ -7,28 +7,24 @@ Testing print_style functionality:
=== Testing solved_dim_to_string ===
Full attributes (d=28, padding=2, label=height, proj_id):
Only_labels: height
-  Axis_size: height=28+2
-  Axis_number_and_size: height=28+2
-  Projection_and_size: height=28+2
+  Axis_size: height=28
+  Axis_number_and_size: height=28
+  Projection_and_size: height=28


Minimal attributes (d=64, no padding, no label, no proj_id):
Only_labels: _
Axis_size: 64
Projection_and_size: 64


-With padding only (d=32, padding=3, label=width, no proj_id):
-  Axis_size: width=32+3
-  Projection_and_size: width=32+3
-
With projection (d=32, label=width, proj_id):
Axis_size: width=32
-  Projection_and_size: width=32[p1]
+  Projection_and_size: width=32p1


=== Testing dim_to_string ===
Solved dimensions:
Only_labels (full): height
-  Axis_size (full): height=28+2
-  Projection_and_size (full): height=28+2
+  Axis_size (full): height=28
+  Projection_and_size (full): height=28
Only_labels (minimal): _
Axis_size (minimal): 64


(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/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c6ac1e093bcbb41733d520a5d9bcbd80/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/57c262ccf7ddb344cb0c5e90f7962e61/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/57c262ccf7ddb344cb0c5e90f7962e61/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=0.194500, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243648, epoch loss=0.711028
Batch=239, step=1440, lr=0.194250, batch loss=0.347884, epoch loss=1.058912
Batch=299, step=1500, lr=0.194000, batch loss=0.247376, epoch loss=1.306288
Batch=359, step=1560, lr=0.193750, batch loss=0.316538, epoch loss=1.622827
Batch=419, step=1620, lr=0.193500, batch loss=0.312762, epoch loss=1.935589
Batch=479, step=1680, lr=0.193250, batch loss=0.276254, epoch loss=2.211843
Batch=539, step=1740, lr=0.193000, batch loss=0.209847, epoch loss=2.421689
Batch=599, step=1800, lr=0.192750, batch loss=0.250347, epoch loss=2.672036
Batch=659, step=1860, lr=0.192500, batch loss=0.367235, epoch loss=3.039271
Batch=719, step=1920, lr=0.192250, batch loss=0.354885, epoch loss=3.394157
Batch=779, step=1980, lr=0.192000, batch loss=0.381412, epoch loss=3.775569
Batch=839, step=2040, lr=0.191750, batch loss=0.339635, epoch loss=4.115204
Batch=899, step=2100, lr=0.191500, batch loss=0.295241, epoch loss=4.410444
Batch=959, step=2160, lr=0.191250, batch loss=0.214004, epoch loss=4.624448
Batch=1019, step=2220, lr=0.191000, batch loss=0.331041, epoch loss=4.955489
Batch=1079, step=2280, lr=0.190750, batch loss=0.208153, epoch loss=5.163642
Batch=1139, step=2340, lr=0.190500, batch loss=0.278446, epoch loss=5.442088
Batch=1199, step=2400, lr=0.190250, batch loss=0.220772, epoch loss=5.662860
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662860
Batch=59, step=2460, lr=0.190000, batch loss=0.230334, epoch loss=0.230334
Batch=119, step=2520, lr=0.189750, batch loss=0.195995, epoch loss=0.426329
Batch=179, step=2580, lr=0.189500, batch loss=0.221146, epoch loss=0.647475
Batch=239, step=2640, lr=0.189250, batch loss=0.328103, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202977, epoch loss=1.178555
Batch=359, step=2760, lr=0.188750, batch loss=0.289866, epoch loss=1.468421
Batch=419, step=2820, lr=0.188500, batch loss=0.281778, epoch loss=1.750199
Batch=479, step=2880, lr=0.188250, batch loss=0.264805, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203848, epoch loss=2.218852
Batch=599, step=3000, lr=0.187750, batch loss=0.248022, epoch loss=2.466874
Batch=659, step=3060, lr=0.187500, batch loss=0.345096, epoch loss=2.811970
Batch=719, step=3120, lr=0.187250, batch loss=0.343499, epoch loss=3.155469
Batch=779, step=3180, lr=0.187000, batch loss=0.367031, epoch loss=3.522500
Batch=839, step=3240, lr=0.186750, batch loss=0.321764, epoch loss=3.844264
Batch=899, step=3300, lr=0.186500, batch loss=0.283901, epoch loss=4.128165
Batch=959, step=3360, lr=0.186250, batch loss=0.214363, epoch loss=4.342529
Batch=1019, step=3420, lr=0.186000, batch loss=0.306466, epoch loss=4.648995
Batch=1079, step=3480, lr=0.185750, batch loss=0.177246, epoch loss=4.826241
Batch=1139, step=3540, lr=0.185500, batch loss=0.235618, epoch loss=5.061859
Batch=1199, step=3600, lr=0.185250, batch loss=0.197914, epoch loss=5.259773
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259773
Batch=59, step=3660, lr=0.185000, batch loss=0.226490, epoch loss=0.226490
Batch=119, step=3720, lr=0.184750, batch loss=0.191849, epoch loss=0.418338
Batch=179, step=3780, lr=0.184500, batch loss=0.210710, epoch loss=0.629048
Batch=239, step=3840, lr=0.184250, batch loss=0.314088, epoch loss=0.943136
Batch=299, step=3900, lr=0.184000, batch loss=0.206078, epoch loss=1.149215
Batch=359, step=3960, lr=0.183750, batch loss=0.291173, epoch loss=1.440388
Batch=419, step=4020, lr=0.183500, batch loss=0.297507, epoch loss=1.737895
Batch=479, step=4080, lr=0.183250, batch loss=0.260460, epoch loss=1.998355
Batch=539, step=4140, lr=0.183000, batch loss=0.195274, epoch loss=2.193628
Batch=599, step=4200, lr=0.182750, batch loss=0.230330, epoch loss=2.423959
Batch=659, step=4260, lr=0.182500, batch loss=0.337204, epoch loss=2.761163
Batch=719, step=4320, lr=0.182250, batch loss=0.347062, epoch loss=3.108225
Batch=779, step=4380, lr=0.182000, batch loss=0.346372, epoch loss=3.454597
Batch=839, step=4440, lr=0.181750, batch loss=0.317723, epoch loss=3.772320
Batch=899, step=4500, lr=0.181500, batch loss=0.283986, epoch loss=4.056306
Batch=959, step=4560, lr=0.181250, batch loss=0.238260, epoch loss=4.294566
Batch=1019, step=4620, lr=0.181000, batch loss=0.337025, epoch loss=4.631591
Batch=1079, step=4680, lr=0.180750, batch loss=0.208451, epoch loss=4.840042
Batch=1139, step=4740, lr=0.180500, batch loss=0.249298, epoch loss=5.089340
Batch=1199, step=4800, lr=0.180250, batch loss=0.191772, epoch loss=5.281112
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281112
Batch=59, step=4860, lr=0.180000, batch loss=0.228004, epoch loss=0.228004
Batch=119, step=4920, lr=0.179750, batch loss=0.190281, epoch loss=0.418286
Batch=179, step=4980, lr=0.179500, batch loss=0.205911, epoch loss=0.624197
Batch=239, step=5040, lr=0.179250, batch loss=0.309035, epoch loss=0.933232
Batch=299, step=5100, lr=0.179000, batch loss=0.204663, epoch loss=1.137894
Batch=359, step=5160, lr=0.178750, batch loss=0.271100, epoch loss=1.408994
Batch=419, step=5220, lr=0.178500, batch loss=0.264070, epoch loss=1.673064
Batch=479, step=5280, lr=0.178250, batch loss=0.239663, epoch loss=1.912727
Batch=539, step=5340, lr=0.178000, batch loss=0.189504, epoch loss=2.102231
Batch=599, step=5400, lr=0.177750, batch loss=0.230939, epoch loss=2.333170
Batch=659, step=5460, lr=0.177500, batch loss=0.323649, epoch loss=2.656819
Batch=719, step=5520, lr=0.177250, batch loss=0.325804, epoch loss=2.982623
Batch=779, step=5580, lr=0.177000, batch loss=0.343247, epoch loss=3.325870
Batch=839, step=5640, lr=0.176750, batch loss=0.309295, epoch loss=3.635166
Batch=899, step=5700, lr=0.176500, batch loss=0.273237, epoch loss=3.908403
Batch=959, step=5760, lr=0.176250, batch loss=0.214798, epoch loss=4.123201
Batch=1019, step=5820, lr=0.176000, batch loss=0.339325, epoch loss=4.462526
Batch=1079, step=5880, lr=0.175750, batch loss=0.207698, epoch loss=4.670224
Batch=1139, step=5940, lr=0.175500, batch loss=0.240071, epoch loss=4.910294
Batch=1199, step=6000, lr=0.175250, batch loss=0.186880, epoch loss=5.097174
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097174
Batch=59, step=6060, lr=0.175000, batch loss=0.230486, epoch loss=0.230486
Batch=119, step=6120, lr=0.174750, batch loss=0.194335, epoch loss=0.424821
Batch=179, step=6180, lr=0.174500, batch loss=0.201549, epoch loss=0.626370
Batch=239, step=6240, lr=0.174250, batch loss=0.302362, epoch loss=0.928732
Batch=299, step=6300, lr=0.174000, batch loss=0.203974, epoch loss=1.132706
Batch=359, step=6360, lr=0.173750, batch loss=0.266075, epoch loss=1.398781
Batch=419, step=6420, lr=0.173500, batch loss=0.265320, epoch loss=1.664101
Batch=479, step=6480, lr=0.173250, batch loss=0.243288, epoch loss=1.907389
Batch=539, step=6540, lr=0.173000, batch loss=0.193011, epoch loss=2.100400
Batch=599, step=6600, lr=0.172750, batch loss=0.234458, epoch loss=2.334858
Batch=659, step=6660, lr=0.172500, batch loss=0.312130, epoch loss=2.646988
Batch=719, step=6720, lr=0.172250, batch loss=0.314205, epoch loss=2.961193
Batch=779, step=6780, lr=0.172000, batch loss=0.333256, epoch loss=3.294450
Batch=839, step=6840, lr=0.171750, batch loss=0.303735, epoch loss=3.598184
Batch=899, step=6900, lr=0.171500, batch loss=0.268505, epoch loss=3.866689
Batch=959, step=6960, lr=0.171250, batch loss=0.210975, epoch loss=4.077664
Batch=1019, step=7020, lr=0.171000, batch loss=0.329808, epoch loss=4.407472
Batch=1079, step=7080, lr=0.170750, batch loss=0.180582, epoch loss=4.588053
Batch=1139, step=7140, lr=0.170500, batch loss=0.216100, epoch loss=4.804153
Batch=1199, step=7200, lr=0.170250, batch loss=0.185691, epoch loss=4.989844
Epoch=5, step=7200, lr=0.170250, epoch loss=4.989844
Batch=59, step=7260, lr=0.170000, batch loss=0.232450, epoch loss=0.232450
Batch=119, step=7320, lr=0.169750, batch loss=0.184646, epoch loss=0.417096
Batch=179, step=7380, lr=0.169500, batch loss=0.196615, epoch loss=0.613711
Batch=239, step=7440, lr=0.169250, batch loss=0.291677, epoch loss=0.905388
Batch=299, step=7500, lr=0.169000, batch loss=0.200896, epoch loss=1.106284
Batch=359, step=7560, lr=0.168750, batch loss=0.258536, epoch loss=1.364820
Batch=419, step=7620, lr=0.168500, batch loss=0.257381, epoch loss=1.622201
Batch=479, step=7680, lr=0.168250, batch loss=0.235340, epoch loss=1.857542
Batch=539, step=7740, lr=0.168000, batch loss=0.188561, epoch loss=2.046102
Batch=599, step=7800, lr=0.167750, batch loss=0.223194, epoch loss=2.269296
Batch=659, step=7860, lr=0.167500, batch loss=0.306319, epoch loss=2.575615
Batch=719, step=7920, lr=0.167250, batch loss=0.308688, epoch loss=2.884302
Batch=779, step=7980, lr=0.167000, batch loss=0.330648, epoch loss=3.214951
Batch=839, step=8040, lr=0.166750, batch loss=0.292000, epoch loss=3.506950
Batch=899, step=8100, lr=0.166500, batch loss=0.262300, epoch loss=3.769251
Batch=959, step=8160, lr=0.166250, batch loss=0.192397, epoch loss=3.961647
Batch=1019, step=8220, lr=0.166000, batch loss=0.291248, epoch loss=4.252896
Batch=1079, step=8280, lr=0.165750, batch loss=0.184183, epoch loss=4.437079
Batch=1139, step=8340, lr=0.165500, batch loss=0.216355, epoch loss=4.653433
Batch=1199, step=8400, lr=0.165250, batch loss=0.172778, epoch loss=4.826211
Epoch=6, step=8400, lr=0.165250, epoch loss=4.826211
Batch=59, step=8460, lr=0.165000, batch loss=0.211946, epoch loss=0.211946
Batch=119, step=8520, lr=0.164750, batch loss=0.178008, epoch loss=0.389954
Batch=179, step=8580, lr=0.164500, batch loss=0.188663, epoch loss=0.578617
Batch=239, step=8640, lr=0.164250, batch loss=0.279395, epoch loss=0.858013
Batch=299, step=8700, lr=0.164000, batch loss=0.193683, epoch loss=1.051696
Batch=359, step=8760, lr=0.163750, batch loss=0.247131, epoch loss=1.298826
Batch=419, step=8820, lr=0.163500, batch loss=0.244770, epoch loss=1.543596
Batch=479, step=8880, lr=0.163250, batch loss=0.229050, epoch loss=1.772646
Batch=539, step=8940, lr=0.163000, batch loss=0.177623, epoch loss=1.950269
Batch=599, step=9000, lr=0.162750, batch loss=0.217601, epoch loss=2.167870
Batch=659, step=9060, lr=0.162500, batch loss=0.294853, epoch loss=2.462723
Batch=719, step=9120, lr=0.162250, batch loss=0.298824, epoch loss=2.761547
Batch=779, step=9180, lr=0.162000, batch loss=0.316310, epoch loss=3.077858
Batch=839, step=9240, lr=0.161750, batch loss=0.281669, epoch loss=3.359527
Batch=899, step=9300, lr=0.161500, batch loss=0.250801, epoch loss=3.610328
Batch=959, step=9360, lr=0.161250, batch loss=0.200966, epoch loss=3.811293
Batch=1019, step=9420, lr=0.161000, batch loss=0.307068, epoch loss=4.118361
Batch=1079, step=9480, lr=0.160750, batch loss=0.192178, epoch loss=4.310539
Batch=1139, step=9540, lr=0.160500, batch loss=0.215773, epoch loss=4.526312
Batch=1199, step=9600, lr=0.160250, batch loss=0.165514, epoch loss=4.691826
Epoch=7, step=9600, lr=0.160250, epoch loss=4.691826
Batch=59, step=9660, lr=0.160000, batch loss=0.193662, epoch loss=0.193662
Batch=119, step=9720, lr=0.159750, batch loss=0.162750, epoch loss=0.356412
Batch=179, step=9780, lr=0.159500, batch loss=0.178485, epoch loss=0.534897
Batch=239, step=9840, lr=0.159250, batch loss=0.259816, epoch loss=0.794713
Batch=299, step=9900, lr=0.159000, batch loss=0.178777, epoch loss=0.973490
Batch=359, step=9960, lr=0.158750, batch loss=0.234996, epoch loss=1.208486
Batch=419, step=10020, lr=0.158500, batch loss=0.230268, epoch loss=1.438754
Batch=479, step=10080, lr=0.158250, batch loss=0.215085, epoch loss=1.653839
Batch=539, step=10140, lr=0.158000, batch loss=0.167859, epoch loss=1.821698
Batch=599, step=10200, lr=0.157750, batch loss=0.197437, epoch loss=2.019135
Batch=659, step=10260, lr=0.157500, batch loss=0.281357, epoch loss=2.300493
Batch=719, step=10320, lr=0.157250, batch loss=0.279000, epoch loss=2.579493
Batch=779, step=10380, lr=0.157000, batch loss=0.300785, epoch loss=2.880278
Batch=839, step=10440, lr=0.156750, batch loss=0.269719, epoch loss=3.149997
Batch=899, step=10500, lr=0.156500, batch loss=0.240258, epoch loss=3.390256
Batch=959, step=10560, lr=0.156250, batch loss=0.196764, epoch loss=3.587020
Batch=1019, step=10620, lr=0.156000, batch loss=0.283972, epoch loss=3.870992
Batch=1079, step=10680, lr=0.155750, batch loss=0.172306, epoch loss=4.043298
Batch=1139, step=10740, lr=0.155500, batch loss=0.197382, epoch loss=4.240680
Batch=1199, step=10800, lr=0.155250, batch loss=0.155534, epoch loss=4.396214
Epoch=8, step=10800, lr=0.155250, epoch loss=4.396214
Batch=59, step=10860, lr=0.155000, batch loss=0.194532, epoch loss=0.194532
Batch=119, step=10920, lr=0.154750, batch loss=0.161466, epoch loss=0.355998
Batch=179, step=10980, lr=0.154500, batch loss=0.167433, epoch loss=0.523431
Batch=239, step=11040, lr=0.154250, batch loss=0.243782, epoch loss=0.767213
Batch=299, step=11100, lr=0.154000, batch loss=0.167104, epoch loss=0.934317
Batch=359, step=11160, lr=0.153750, batch loss=0.224912, epoch loss=1.159229
Batch=419, step=11220, lr=0.153500, batch loss=0.230316, epoch loss=1.389544
Batch=479, step=11280, lr=0.153250, batch loss=0.201681, epoch loss=1.591226
Batch=539, step=11340, lr=0.153000, batch loss=0.159847, epoch loss=1.751073
Batch=599, step=11400, lr=0.152750, batch loss=0.182069, epoch loss=1.933142
Batch=659, step=11460, lr=0.152500, batch loss=0.263298, epoch loss=2.196440
Batch=719, step=11520, lr=0.152250, batch loss=0.262983, epoch loss=2.459423
Batch=779, step=11580, lr=0.152000, batch loss=0.270245, epoch loss=2.729668
Batch=839, step=11640, lr=0.151750, batch loss=0.248674, epoch loss=2.978342
Batch=899, step=11700, lr=0.151500, batch loss=0.219811, epoch loss=3.198153
Batch=959, step=11760, lr=0.151250, batch loss=0.186071, epoch loss=3.384224
Batch=1019, step=11820, lr=0.151000, batch loss=0.273322, epoch loss=3.657547
Batch=1079, step=11880, lr=0.150750, batch loss=0.151293, epoch loss=3.808840
Batch=1139, step=11940, lr=0.150500, batch loss=0.185695, epoch loss=3.994535
Batch=1199, step=12000, lr=0.150250, batch loss=0.139098, epoch loss=4.133633
Epoch=9, step=12000, lr=0.150250, epoch loss=4.133633
Batch=59, step=12060, lr=0.150000, batch loss=0.157930, epoch loss=0.157930
Batch=119, step=12120, lr=0.149750, batch loss=0.127009, epoch loss=0.284939
Batch=179, step=12180, lr=0.149500, batch loss=0.151121, epoch loss=0.436060
Batch=239, step=12240, lr=0.149250, batch loss=0.218963, epoch loss=0.655024
Batch=299, step=12300, lr=0.149000, batch loss=0.139079, epoch loss=0.794103
Batch=359, step=12360, lr=0.148750, batch loss=0.188282, epoch loss=0.982385
Batch=419, step=12420, lr=0.148500, batch loss=0.182215, epoch loss=1.164599
Batch=479, step=12480, lr=0.148250, batch loss=0.163233, epoch loss=1.327832
Batch=539, step=12540, lr=0.148000, batch loss=0.137053, epoch loss=1.464885
Batch=599, step=12600, lr=0.147750, batch loss=0.156104, epoch loss=1.620988
Batch=659, step=12660, lr=0.147500, batch loss=0.239824, epoch loss=1.860812
Batch=719, step=12720, lr=0.147250, batch loss=0.227472, epoch loss=2.088285
Batch=779, step=12780, lr=0.147000, batch loss=0.250527, epoch loss=2.338812
Batch=839, step=12840, lr=0.146750, batch loss=0.225528, epoch loss=2.564340
Batch=899, step=12900, lr=0.146500, batch loss=0.188216, epoch loss=2.752556
Batch=959, step=12960, lr=0.146250, batch loss=0.160752, epoch loss=2.913308
Batch=1019, step=13020, lr=0.146000, batch loss=0.262852, epoch loss=3.176160
Batch=1079, step=13080, lr=0.145750, batch loss=0.122398, epoch loss=3.298558
Batch=1139, step=13140, lr=0.145500, batch loss=0.177101, epoch loss=3.475659
Batch=1199, step=13200, lr=0.145250, batch loss=0.118433, epoch loss=3.594092
Epoch=10, step=13200, lr=0.145250, epoch loss=3.594092
Batch=59, step=13260, lr=0.145000, batch loss=0.146327, epoch loss=0.146327
Batch=119, step=13320, lr=0.144750, batch loss=0.124277, epoch loss=0.270603
Batch=179, step=13380, lr=0.144500, batch loss=0.130352, epoch loss=0.400955
Batch=239, step=13440, lr=0.144250, batch loss=0.190619, epoch loss=0.591574
Batch=299, step=13500, lr=0.144000, batch loss=0.110050, epoch loss=0.701624
Batch=359, step=13560, lr=0.143750, batch loss=0.161637, epoch loss=0.863261
Batch=419, step=13620, lr=0.143500, batch loss=0.160659, epoch loss=1.023920
Batch=479, step=13680, lr=0.143250, batch loss=0.146761, epoch loss=1.170682
Batch=539, step=13740, lr=0.143000, batch loss=0.118866, epoch loss=1.289548
Batch=599, step=13800, lr=0.142750, batch loss=0.119483, epoch loss=1.409030
Batch=659, step=13860, lr=0.142500, batch loss=0.175948, epoch loss=1.584979
Batch=719, step=13920, lr=0.142250, batch loss=0.176044, epoch loss=1.761023
Batch=779, step=13980, lr=0.142000, batch loss=0.196943, epoch loss=1.957966
Batch=839, step=14040, lr=0.141750, batch loss=0.188324, epoch loss=2.146290
Batch=899, step=14100, lr=0.141500, batch loss=0.178714, epoch loss=2.325003
Batch=959, step=14160, lr=0.141250, batch loss=0.136282, epoch loss=2.461286
Batch=1019, step=14220, lr=0.141000, batch loss=0.272479, epoch loss=2.733764
Batch=1079, step=14280, lr=0.140750, batch loss=0.075203, epoch loss=2.808967
Batch=1139, step=14340, lr=0.140500, batch loss=0.122602, epoch loss=2.931569
Batch=1199, step=14400, lr=0.140250, batch loss=0.088579, epoch loss=3.020148
Epoch=11, step=14400, lr=0.140250, epoch loss=3.020148
Batch=59, step=14460, lr=0.140000, batch loss=0.110860, epoch loss=0.110860
Batch=119, step=14520, lr=0.139750, batch loss=0.108155, epoch loss=0.219016
Batch=179, step=14580, lr=0.139500, batch loss=0.103937, epoch loss=0.322953
Batch=239, step=14640, lr=0.139250, batch loss=0.138486, epoch loss=0.461439
Batch=299, step=14700, lr=0.139000, batch loss=0.079074, epoch loss=0.540514
Batch=359, step=14760, lr=0.138750, batch loss=0.116955, epoch loss=0.657469
Batch=419, step=14820, lr=0.138500, batch loss=0.124304, epoch loss=0.781772
Batch=479, step=14880, lr=0.138250, batch loss=0.102872, epoch loss=0.884645
Batch=539, step=14940, lr=0.138000, batch loss=0.116193, epoch loss=1.000838
Batch=599, step=15000, lr=0.137750, batch loss=0.087301, epoch loss=1.088138
Batch=659, step=15060, lr=0.137500, batch loss=0.125494, epoch loss=1.213632
Batch=719, step=15120, lr=0.137250, batch loss=0.127788, epoch loss=1.341420
Batch=779, step=15180, lr=0.137000, batch loss=0.162404, epoch loss=1.503824
Batch=839, step=15240, lr=0.136750, batch loss=0.156473, epoch loss=1.660297
Batch=899, step=15300, lr=0.136500, batch loss=0.265198, epoch loss=1.925495
Batch=959, step=15360, lr=0.136250, batch loss=0.059828, epoch loss=1.985323
Batch=1019, step=15420, lr=0.136000, batch loss=0.132256, epoch loss=2.117578
Batch=1079, step=15480, lr=0.135750, batch loss=0.045877, epoch loss=2.163455
Batch=1139, step=15540, lr=0.135500, batch loss=0.106422, epoch loss=2.269877
Batch=1199, step=15600, lr=0.135250, batch loss=0.062504, epoch loss=2.332381
Epoch=12, step=15600, lr=0.135250, epoch loss=2.332381
Batch=59, step=15660, lr=0.135000, batch loss=0.072073, epoch loss=0.072073
Batch=119, step=15720, lr=0.134750, batch loss=0.105138, epoch loss=0.177211
Batch=179, step=15780, lr=0.134500, batch loss=0.086679, epoch loss=0.263891
Batch=239, step=15840, lr=0.134250, batch loss=0.091194, epoch loss=0.355085
Batch=299, step=15900, lr=0.134000, batch loss=0.038527, epoch loss=0.393612
Batch=359, step=15960, lr=0.133750, batch loss=0.080433, epoch loss=0.474046
Batch=419, step=16020, lr=0.133500, batch loss=0.076320, epoch loss=0.550365
Batch=479, step=16080, lr=0.133250, batch loss=0.060130, epoch loss=0.610495
Batch=539, step=16140, lr=0.133000, batch loss=0.067182, epoch loss=0.677677
Batch=599, step=16200, lr=0.132750, batch loss=0.158047, epoch loss=0.835724
Batch=659, step=16260, lr=0.132500, batch loss=0.089593, epoch loss=0.925317
Batch=719, step=16320, lr=0.132250, batch loss=0.120840, epoch loss=1.046157
Batch=779, step=16380, lr=0.132000, batch loss=0.293230, epoch loss=1.339387
Batch=839, step=16440, lr=0.131750, batch loss=0.090639, epoch loss=1.430026
Batch=899, step=16500, lr=0.131500, batch loss=0.075230, epoch loss=1.505257
Batch=959, step=16560, lr=0.131250, batch loss=0.031133, epoch loss=1.536389
Batch=1019, step=16620, lr=0.131000, batch loss=0.059034, epoch loss=1.595424
Batch=1079, step=16680, lr=0.130750, batch loss=0.063028, epoch loss=1.658452
Batch=1139, step=16740, lr=0.130500, batch loss=0.111791, epoch loss=1.770243
Batch=1199, step=16800, lr=0.130250, batch loss=0.050829, epoch loss=1.821073
Epoch=13, step=16800, lr=0.130250, epoch loss=1.821073
Batch=59, step=16860, lr=0.130000, batch loss=0.033369, epoch loss=0.033369
Batch=119, step=16920, lr=0.129750, batch loss=0.034207, epoch loss=0.067576
Batch=179, step=16980, lr=0.129500, batch loss=0.042687, epoch loss=0.110263
Batch=239, step=17040, lr=0.129250, batch loss=0.061067, epoch loss=0.171330
Batch=299, step=17100, lr=0.129000, batch loss=0.029171, epoch loss=0.200502
Batch=359, step=17160, lr=0.128750, batch loss=0.044938, epoch loss=0.245439
Batch=419, step=17220, lr=0.128500, batch loss=0.064638, epoch loss=0.310078
Batch=479, step=17280, lr=0.128250, batch loss=0.022590, epoch loss=0.332668
Batch=539, step=17340, lr=0.128000, batch loss=0.027638, epoch loss=0.360306
Batch=599, step=17400, lr=0.127750, batch loss=0.034193, epoch loss=0.394500
Batch=659, step=17460, lr=0.127500, batch loss=0.044424, epoch loss=0.438924
Batch=719, step=17520, lr=0.127250, batch loss=0.068794, epoch loss=0.507718
Batch=779, step=17580, lr=0.127000, batch loss=0.119799, epoch loss=0.627517
Batch=839, step=17640, lr=0.126750, batch loss=0.096813, epoch loss=0.724330
Batch=899, step=17700, lr=0.126500, batch loss=0.112953, epoch loss=0.837284
Batch=959, step=17760, lr=0.126250, batch loss=0.023585, epoch loss=0.860869
Batch=1019, step=17820, lr=0.126000, batch loss=0.042500, epoch loss=0.903368
Batch=1079, step=17880, lr=0.125750, batch loss=0.020248, epoch loss=0.923616
Batch=1139, step=17940, lr=0.125500, batch loss=0.044362, epoch loss=0.967978
Batch=1199, step=18000, lr=0.125250, batch loss=0.018151, epoch loss=0.986129
Epoch=14, step=18000, lr=0.125250, epoch loss=0.986129
Batch=59, step=18060, lr=0.125000, batch loss=0.011676, epoch loss=0.011676
Batch=119, step=18120, lr=0.124750, batch loss=0.018677, epoch loss=0.030354
Batch=179, step=18180, lr=0.124500, batch loss=0.029524, epoch loss=0.059878
Batch=239, step=18240, lr=0.124250, batch loss=0.033593, epoch loss=0.093471
Batch=299, step=18300, lr=0.124000, batch loss=0.009610, epoch loss=0.103081
Batch=359, step=18360, lr=0.123750, batch loss=0.024142, epoch loss=0.127223
Batch=419, step=18420, lr=0.123500, batch loss=0.038918, epoch loss=0.166141
Batch=479, step=18480, lr=0.123250, batch loss=0.017737, epoch loss=0.183878
Batch=539, step=18540, lr=0.123000, batch loss=0.025654, epoch loss=0.209531
Batch=599, step=18600, lr=0.122750, batch loss=0.026314, epoch loss=0.235845
Batch=659, step=18660, lr=0.122500, batch loss=0.029227, epoch loss=0.265071
Batch=719, step=18720, lr=0.122250, batch loss=0.034991, epoch loss=0.300062
Batch=779, step=18780, lr=0.122000, batch loss=0.075628, epoch loss=0.375690
Batch=839, step=18840, lr=0.121750, batch loss=0.047491, epoch loss=0.423181
Batch=899, step=18900, lr=0.121500, batch loss=0.051196, epoch loss=0.474377
Batch=959, step=18960, lr=0.121250, batch loss=0.018635, epoch loss=0.493012
Batch=1019, step=19020, lr=0.121000, batch loss=0.036206, epoch loss=0.529218
Batch=1079, step=19080, lr=0.120750, batch loss=0.010725, epoch loss=0.539943
Batch=1139, step=19140, lr=0.120500, batch loss=0.022442, epoch loss=0.562385
Batch=1199, step=19200, lr=0.120250, batch loss=0.008950, epoch loss=0.571336
Epoch=15, step=19200, lr=0.120250, epoch loss=0.571336
Batch=59, step=19260, lr=0.120000, batch loss=0.004097, epoch loss=0.004097
Batch=119, step=19320, lr=0.119750, batch loss=0.017590, epoch loss=0.021687
Batch=179, step=19380, lr=0.119500, batch loss=0.041872, epoch loss=0.063560
Batch=239, step=19440, lr=0.119250, batch loss=0.021128, epoch loss=0.084688
Batch=299, step=19500, lr=0.119000, batch loss=0.007280, epoch loss=0.091968
Batch=359, step=19560, lr=0.118750, batch loss=0.016879, epoch loss=0.108847
Batch=419, step=19620, lr=0.118500, batch loss=0.020576, epoch loss=0.129423
Batch=479, step=19680, lr=0.118250, batch loss=0.006945, epoch loss=0.136368
Batch=539, step=19740, lr=0.118000, batch loss=0.016559, epoch loss=0.152926
Batch=599, step=19800, lr=0.117750, batch loss=0.023694, epoch loss=0.176620
Batch=659, step=19860, lr=0.117500, batch loss=0.019951, epoch loss=0.196571
Batch=719, step=19920, lr=0.117250, batch loss=0.052298, epoch loss=0.248870
Batch=779, step=19980, lr=0.117000, batch loss=0.080728, epoch loss=0.329598
Batch=839, step=20040, lr=0.116750, batch loss=0.031239, epoch loss=0.360837
Batch=899, step=20100, lr=0.116500, batch loss=0.034766, epoch loss=0.395603
Batch=959, step=20160, lr=0.116250, batch loss=0.011931, epoch loss=0.407534
Batch=1019, step=20220, lr=0.116000, batch loss=0.015749, epoch loss=0.423282
Batch=1079, step=20280, lr=0.115750, batch loss=0.001110, epoch loss=0.424392
Batch=1139, step=20340, lr=0.115500, batch loss=0.015390, epoch loss=0.439783
Batch=1199, step=20400, lr=0.115250, batch loss=0.005560, epoch loss=0.445343
Epoch=16, step=20400, lr=0.115250, epoch loss=0.445343
Batch=59, step=20460, lr=0.115000, batch loss=0.003012, epoch loss=0.003012
Batch=119, step=20520, lr=0.114750, batch loss=0.008083, epoch loss=0.011095
Batch=179, step=20580, lr=0.114500, batch loss=0.015277, epoch loss=0.026372
Batch=239, step=20640, lr=0.114250, batch loss=0.014001, epoch loss=0.040373
Batch=299, step=20700, lr=0.114000, batch loss=0.003973, epoch loss=0.044346
Batch=359, step=20760, lr=0.113750, batch loss=0.013078, epoch loss=0.057423
Batch=419, step=20820, lr=0.113500, batch loss=0.015425, epoch loss=0.072848
Batch=479, step=20880, lr=0.113250, batch loss=0.003451, epoch loss=0.076300
Batch=539, step=20940, lr=0.113000, batch loss=0.019119, epoch loss=0.095419
Batch=599, step=21000, lr=0.112750, batch loss=0.020471, epoch loss=0.115890
Batch=659, step=21060, lr=0.112500, batch loss=0.017385, epoch loss=0.133275
Batch=719, step=21120, lr=0.112250, batch loss=0.054863, epoch loss=0.188137
Batch=779, step=21180, lr=0.112000, batch loss=0.062300, epoch loss=0.250438
Batch=839, step=21240, lr=0.111750, batch loss=0.024738, epoch loss=0.275176
Batch=899, step=21300, lr=0.111500, batch loss=0.027899, epoch loss=0.303075
Batch=959, step=21360, lr=0.111250, batch loss=0.010853, epoch loss=0.313927
Batch=1019, step=21420, lr=0.111000, batch loss=0.011766, epoch loss=0.325693
Batch=1079, step=21480, lr=0.110750, batch loss=0.001999, epoch loss=0.327692
Batch=1139, step=21540, lr=0.110500, batch loss=0.011980, epoch loss=0.339672
Batch=1199, step=21600, lr=0.110250, batch loss=0.005319, epoch loss=0.344991
Epoch=17, step=21600, lr=0.110250, epoch loss=0.344991
Batch=59, step=21660, lr=0.110000, batch loss=0.003056, epoch loss=0.003056
Batch=119, step=21720, lr=0.109750, batch loss=0.007065, epoch loss=0.010122
Batch=179, step=21780, lr=0.109500, batch loss=0.012799, epoch loss=0.022921
Batch=239, step=21840, lr=0.109250, batch loss=0.009457, epoch loss=0.032378
Batch=299, step=21900, lr=0.109000, batch loss=0.006564, epoch loss=0.038943
Batch=359, step=21960, lr=0.108750, batch loss=0.014642, epoch loss=0.053585
Batch=419, step=22020, lr=0.108500, batch loss=0.012318, epoch loss=0.065903
Batch=479, step=22080, lr=0.108250, batch loss=0.003038, epoch loss=0.068941
Batch=539, step=22140, lr=0.108000, batch loss=0.019697, epoch loss=0.088638
Batch=599, step=22200, lr=0.107750, batch loss=0.020535, epoch loss=0.109173
Batch=659, step=22260, lr=0.107500, batch loss=0.015313, epoch loss=0.124486
Batch=719, step=22320, lr=0.107250, batch loss=0.022520, epoch loss=0.147005
Batch=779, step=22380, lr=0.107000, batch loss=0.033810, epoch loss=0.180816
Batch=839, step=22440, lr=0.106750, batch loss=0.029650, epoch loss=0.210466
Batch=899, step=22500, lr=0.106500, batch loss=0.023599, epoch loss=0.234065
Batch=959, step=22560, lr=0.106250, batch loss=0.012265, epoch loss=0.246330
Batch=1019, step=22620, lr=0.106000, batch loss=0.009307, epoch loss=0.255637
Batch=1079, step=22680, lr=0.105750, batch loss=0.001930, epoch loss=0.257567
Batch=1139, step=22740, lr=0.105500, batch loss=0.010757, epoch loss=0.268325
Batch=1199, step=22800, lr=0.105250, batch loss=0.005150, epoch loss=0.273475
Epoch=18, step=22800, lr=0.105250, epoch loss=0.273475
Batch=59, step=22860, lr=0.105000, batch loss=0.002438, epoch loss=0.002438
Batch=119, step=22920, lr=0.104750, batch loss=0.005241, epoch loss=0.007679
Batch=179, step=22980, lr=0.104500, batch loss=0.012448, epoch loss=0.020127
Batch=239, step=23040, lr=0.104250, batch loss=0.008345, epoch loss=0.028472
Batch=299, step=23100, lr=0.104000, batch loss=0.009318, epoch loss=0.037790
Batch=359, step=23160, lr=0.103750, batch loss=0.011970, epoch loss=0.049760
Batch=419, step=23220, lr=0.103500, batch loss=0.010668, epoch loss=0.060428
Batch=479, step=23280, lr=0.103250, batch loss=0.003915, epoch loss=0.064343
Batch=539, step=23340, lr=0.103000, batch loss=0.014393, epoch loss=0.078735
Batch=599, step=23400, lr=0.102750, batch loss=0.014419, epoch loss=0.093155
Batch=659, step=23460, lr=0.102500, batch loss=0.013346, epoch loss=0.106501
Batch=719, step=23520, lr=0.102250, batch loss=0.015458, epoch loss=0.121959
Batch=779, step=23580, lr=0.102000, batch loss=0.021624, epoch loss=0.143583
Batch=839, step=23640, lr=0.101750, batch loss=0.025245, epoch loss=0.168828
Batch=899, step=23700, lr=0.101500, batch loss=0.022796, epoch loss=0.191624
Batch=959, step=23760, lr=0.101250, batch loss=0.008623, epoch loss=0.200247
Batch=1019, step=23820, lr=0.101000, batch loss=0.007892, epoch loss=0.208139
Batch=1079, step=23880, lr=0.100750, batch loss=0.001135, epoch loss=0.209274
Batch=1139, step=23940, lr=0.100500, batch loss=0.008829, epoch loss=0.218103
Batch=1199, step=24000, lr=0.100250, batch loss=0.004673, epoch loss=0.222776
Epoch=19, step=24000, lr=0.100250, epoch loss=0.222776


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
2025-06-13 17:54.34: Job failed: Failed: Build failed