alpine-3.21-5.3_opam-2.3

2025-05-21 19:00.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (32a9731d4ac654f49a91c9f83191dfc5ebda531f) (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 32a9731d
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 19:00.26: 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 19:00.26: 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 19:00.26: Waiting for resource in pool OCluster
2025-05-21 19:00.26: Waiting for worker…
2025-05-21 19:21.25: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 32a9731d Fix: CUDA syntax binops were missing outer parentheses


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-21 19:22.20 ---> saved as "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962"


/: (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 19:22.20 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f"


/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 19:23.18 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936"


/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 19:23.19 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-21 19:23.19 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 || git fetch origin master) && git reset -q --hard c7d6d1d2aa1bf00c8e6ec9dff2030cd39d493e47 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..ffb3d1e34a  master     -> origin/master
c7d6d1d2aa Merge pull request #27880 from MisterDA/os-family-fedora


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-05-21 19:24.10 ---> saved as "43e1dee62347055f32b5e04bae0991aab5ce6fbd71d6ccffe3f2b2126c80ab66"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-21 19:24.10 ---> saved as "e7ddea50aa22839dfda8010de8140d0239e99c619106cb339b5353531c35c275"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-21 19:24.19 ---> saved as "e484c0ab1208933935ea99bc70598cee6208e193d41df8fe48f1fb4eab086d7d"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-21 19:24.20 ---> saved as "31c63d847abbceacf1604facb33ec06337e17d98aafb8f0efde797325c19b227"


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apk" "update"
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
- v3.21.3-509-g0e89ac270a0 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-510-g4f507628865 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8684-gc77dd060ae8 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8689-g90cc14272f8 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8686-g79dbee1f95c [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58256 distinct packages available


<><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><>
[arrayjit.dev] synchronised (file:///src)
[neural_nets_lib.dev] synchronised (file:///src)


[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).


The following system packages will first need to be installed:
libffi-dev


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


+ /usr/bin/sudo "apk" "add" "libffi-dev"
- (1/2) Installing linux-headers (6.6-r1)
- (2/2) Installing libffi-dev (3.4.7-r0)
- OK: 312 MiB in 104 packages
2025-05-21 19:24.57 ---> saved as "ccfbf9a7c0289af3dbae36b8308ca426d55954dd201bcd119d3d2662718a88a1"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 75 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.18.2
- install dune-configurator       3.18.2
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml-version           4.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install pprint                  20230830
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.2.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> installed conf-pkg-config.4
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved csexp.1.5.2  (cached)
-> installed conf-libffi.2.0.0
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved pprint.20230830  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> retrieved result.1.5  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> installed seq.base
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed astring.0.8.5
-> installed ptime.1.2.0
-> installed fmt.0.10.0
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed ocaml-version.4.0.0
-> installed printbox.0.12
-> installed result.1.5
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed stdlib-shims.0.3.0
-> installed camlp-streams.5.0.1
-> installed csexp.1.5.2
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed sexplib0.v0.17.0
-> installed thread-local-storage.0.2
-> installed integers.0.7.0
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed ocaml-syntax-shims.1.0.0
-> installed dune-configurator.3.18.2
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ctypes-foreign.0.23.0
-> installed printbox-ext-plot.0.12
-> installed base.v0.17.2
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-21 19:29.26 ---> saved as "1c1d960bdfaefe8d5590710d6f1d52afada17a543b319751a275d7b1643adabf"


/src: (copy (src .) (dst /src))
2025-05-21 19:29.28 ---> saved as "5ec4fefb86be0863a1234ca553546307b5aeaa23ee865140074186e7851ce78a"


/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 '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
(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 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
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 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=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199250, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199000, batch loss=0.851101, epoch loss=35.626483
Batch=299, step=300, lr=0.198750, batch loss=1.443804, epoch loss=37.070287
Batch=359, step=360, lr=0.198500, batch loss=1.330477, epoch loss=38.400763
Batch=419, step=420, lr=0.198250, batch loss=0.617806, epoch loss=39.018569
Batch=479, step=480, lr=0.198000, batch loss=0.823855, epoch loss=39.842425
Batch=539, step=540, lr=0.197750, batch loss=0.687666, epoch loss=40.530091
Batch=599, step=600, lr=0.197750, batch loss=1.066768, epoch loss=41.596859
Batch=659, step=660, lr=0.197250, batch loss=0.483180, epoch loss=42.080038
Batch=719, step=720, lr=0.197250, batch loss=0.411419, epoch loss=42.491458
Batch=779, step=780, lr=0.197000, batch loss=0.469010, epoch loss=42.960468
Batch=839, step=840, lr=0.196750, batch loss=0.443341, epoch loss=43.403809
Batch=899, step=900, lr=0.196500, batch loss=0.383855, epoch loss=43.787664
Batch=959, step=960, lr=0.196250, batch loss=0.237518, epoch loss=44.025182
Batch=1019, step=1020, lr=0.195750, batch loss=0.440333, epoch loss=44.465515
Batch=1079, step=1080, lr=0.195500, batch loss=0.229650, epoch loss=44.695165
Batch=1139, step=1140, lr=0.195500, batch loss=0.315082, epoch loss=45.010247
Batch=1199, step=1200, lr=0.195250, batch loss=0.263493, epoch loss=45.273740
Epoch=0, step=1200, lr=0.195250, epoch loss=45.273740
Batch=59, step=1260, lr=0.195000, batch loss=0.262598, epoch loss=0.262598
Batch=119, step=1320, lr=0.194500, batch loss=0.210920, epoch loss=0.473519
Batch=179, step=1380, lr=0.194250, batch loss=0.244861, epoch loss=0.718380
Batch=239, step=1440, lr=0.194000, batch loss=0.352748, epoch loss=1.071127
Batch=299, step=1500, lr=0.193750, batch loss=0.238868, epoch loss=1.309995
Batch=359, step=1560, lr=0.193750, batch loss=0.312176, epoch loss=1.622171
Batch=419, step=1620, lr=0.193500, batch loss=0.309055, epoch loss=1.931226
Batch=479, step=1680, lr=0.193000, batch loss=0.276162, epoch loss=2.207388
Batch=539, step=1740, lr=0.193000, batch loss=0.211244, epoch loss=2.418631
Batch=599, step=1800, lr=0.192750, batch loss=0.254335, epoch loss=2.672966
Batch=659, step=1860, lr=0.192500, batch loss=0.373568, epoch loss=3.046534
Batch=719, step=1920, lr=0.192250, batch loss=0.360266, epoch loss=3.406800
Batch=779, step=1980, lr=0.192000, batch loss=0.385112, epoch loss=3.791912
Batch=839, step=2040, lr=0.191750, batch loss=0.348931, epoch loss=4.140843
Batch=899, step=2100, lr=0.191500, batch loss=0.324924, epoch loss=4.465767
Batch=959, step=2160, lr=0.191250, batch loss=0.255292, epoch loss=4.721059
Batch=1019, step=2220, lr=0.191000, batch loss=0.393656, epoch loss=5.114715
Batch=1079, step=2280, lr=0.190750, batch loss=0.237201, epoch loss=5.351916
Batch=1139, step=2340, lr=0.190500, batch loss=0.279141, epoch loss=5.631057
Batch=1199, step=2400, lr=0.190250, batch loss=0.215288, epoch loss=5.846345
Epoch=1, step=2400, lr=0.190250, epoch loss=5.846345
Batch=59, step=2460, lr=0.190000, batch loss=0.230947, epoch loss=0.230947
Batch=119, step=2520, lr=0.189750, batch loss=0.191973, epoch loss=0.422920
Batch=179, step=2580, lr=0.189500, batch loss=0.222063, epoch loss=0.644983
Batch=239, step=2640, lr=0.189250, batch loss=0.336841, epoch loss=0.981824
Batch=299, step=2700, lr=0.189000, batch loss=0.213087, epoch loss=1.194911
Batch=359, step=2760, lr=0.188750, batch loss=0.295198, epoch loss=1.490108
Batch=419, step=2820, lr=0.188500, batch loss=0.282342, epoch loss=1.772451
Batch=479, step=2880, lr=0.188250, batch loss=0.258305, epoch loss=2.030756
Batch=539, step=2940, lr=0.188000, batch loss=0.200178, epoch loss=2.230934
Batch=599, step=3000, lr=0.187750, batch loss=0.245254, epoch loss=2.476188
Batch=659, step=3060, lr=0.187500, batch loss=0.346822, epoch loss=2.823010
Batch=719, step=3120, lr=0.187250, batch loss=0.341846, epoch loss=3.164855
Batch=779, step=3180, lr=0.187000, batch loss=0.368800, epoch loss=3.533655
Batch=839, step=3240, lr=0.186750, batch loss=0.323385, epoch loss=3.857040
Batch=899, step=3300, lr=0.186500, batch loss=0.280458, epoch loss=4.137498
Batch=959, step=3360, lr=0.186250, batch loss=0.209310, epoch loss=4.346809
Batch=1019, step=3420, lr=0.186000, batch loss=0.314584, epoch loss=4.661393
Batch=1079, step=3480, lr=0.185750, batch loss=0.188776, epoch loss=4.850169
Batch=1139, step=3540, lr=0.185500, batch loss=0.231594, epoch loss=5.081763
Batch=1199, step=3600, lr=0.185250, batch loss=0.198600, epoch loss=5.280363
Epoch=2, step=3600, lr=0.185250, epoch loss=5.280363
Batch=59, step=3660, lr=0.185000, batch loss=0.238336, epoch loss=0.238336
Batch=119, step=3720, lr=0.184750, batch loss=0.201277, epoch loss=0.439613
Batch=179, step=3780, lr=0.184500, batch loss=0.212434, epoch loss=0.652046
Batch=239, step=3840, lr=0.184250, batch loss=0.317350, epoch loss=0.969396
Batch=299, step=3900, lr=0.184000, batch loss=0.203741, epoch loss=1.173137
Batch=359, step=3960, lr=0.183750, batch loss=0.282666, epoch loss=1.455803
Batch=419, step=4020, lr=0.183500, batch loss=0.272522, epoch loss=1.728325
Batch=479, step=4080, lr=0.183250, batch loss=0.248473, epoch loss=1.976798
Batch=539, step=4140, lr=0.183000, batch loss=0.195405, epoch loss=2.172202
Batch=599, step=4200, lr=0.182750, batch loss=0.241099, epoch loss=2.413301
Batch=659, step=4260, lr=0.182500, batch loss=0.328623, epoch loss=2.741924
Batch=719, step=4320, lr=0.182250, batch loss=0.328937, epoch loss=3.070861
Batch=779, step=4380, lr=0.182000, batch loss=0.351832, epoch loss=3.422693
Batch=839, step=4440, lr=0.181750, batch loss=0.319151, epoch loss=3.741844
Batch=899, step=4500, lr=0.181500, batch loss=0.292341, epoch loss=4.034185
Batch=959, step=4560, lr=0.181250, batch loss=0.244058, epoch loss=4.278243
Batch=1019, step=4620, lr=0.181000, batch loss=0.341596, epoch loss=4.619839
Batch=1079, step=4680, lr=0.180750, batch loss=0.199176, epoch loss=4.819015
Batch=1139, step=4740, lr=0.180500, batch loss=0.238402, epoch loss=5.057417
Batch=1199, step=4800, lr=0.180250, batch loss=0.191867, epoch loss=5.249284
Epoch=3, step=4800, lr=0.180250, epoch loss=5.249284
Batch=59, step=4860, lr=0.180000, batch loss=0.223861, epoch loss=0.223861
Batch=119, step=4920, lr=0.179750, batch loss=0.187559, epoch loss=0.411420
Batch=179, step=4980, lr=0.179500, batch loss=0.205658, epoch loss=0.617078
Batch=239, step=5040, lr=0.179250, batch loss=0.307777, epoch loss=0.924855
Batch=299, step=5100, lr=0.179000, batch loss=0.207616, epoch loss=1.132470
Batch=359, step=5160, lr=0.178750, batch loss=0.269725, epoch loss=1.402196
Batch=419, step=5220, lr=0.178500, batch loss=0.264318, epoch loss=1.666513
Batch=479, step=5280, lr=0.178250, batch loss=0.238234, epoch loss=1.904747
Batch=539, step=5340, lr=0.178000, batch loss=0.188371, epoch loss=2.093118
Batch=599, step=5400, lr=0.177750, batch loss=0.233828, epoch loss=2.326946
Batch=659, step=5460, lr=0.177500, batch loss=0.321914, epoch loss=2.648860
Batch=719, step=5520, lr=0.177250, batch loss=0.321929, epoch loss=2.970789
Batch=779, step=5580, lr=0.177000, batch loss=0.342190, epoch loss=3.312979
Batch=839, step=5640, lr=0.176750, batch loss=0.310580, epoch loss=3.623559
Batch=899, step=5700, lr=0.176500, batch loss=0.272332, epoch loss=3.895892
Batch=959, step=5760, lr=0.176250, batch loss=0.216781, epoch loss=4.112673
Batch=1019, step=5820, lr=0.176000, batch loss=0.335242, epoch loss=4.447915
Batch=1079, step=5880, lr=0.175750, batch loss=0.191871, epoch loss=4.639786
Batch=1139, step=5940, lr=0.175500, batch loss=0.220780, epoch loss=4.860566
Batch=1199, step=6000, lr=0.175250, batch loss=0.186489, epoch loss=5.047055
Epoch=4, step=6000, lr=0.175250, epoch loss=5.047055
Batch=59, step=6060, lr=0.175000, batch loss=0.224954, epoch loss=0.224954
Batch=119, step=6120, lr=0.174750, batch loss=0.185644, epoch loss=0.410599
Batch=179, step=6180, lr=0.174500, batch loss=0.201011, epoch loss=0.611610
Batch=239, step=6240, lr=0.174250, batch loss=0.299538, epoch loss=0.911148
Batch=299, step=6300, lr=0.174000, batch loss=0.206069, epoch loss=1.117217
Batch=359, step=6360, lr=0.173750, batch loss=0.268096, epoch loss=1.385314
Batch=419, step=6420, lr=0.173500, batch loss=0.266584, epoch loss=1.651898
Batch=479, step=6480, lr=0.173250, batch loss=0.243391, epoch loss=1.895289
Batch=539, step=6540, lr=0.173000, batch loss=0.195938, epoch loss=2.091227
Batch=599, step=6600, lr=0.172750, batch loss=0.234643, epoch loss=2.325870
Batch=659, step=6660, lr=0.172500, batch loss=0.312586, epoch loss=2.638456
Batch=719, step=6720, lr=0.172250, batch loss=0.318002, epoch loss=2.956458
Batch=779, step=6780, lr=0.172000, batch loss=0.329528, epoch loss=3.285986
Batch=839, step=6840, lr=0.171750, batch loss=0.300630, epoch loss=3.586616
Batch=899, step=6900, lr=0.171500, batch loss=0.271588, epoch loss=3.858204
Batch=959, step=6960, lr=0.171250, batch loss=0.204842, epoch loss=4.063047
Batch=1019, step=7020, lr=0.171000, batch loss=0.330428, epoch loss=4.393474
Batch=1079, step=7080, lr=0.170750, batch loss=0.183076, epoch loss=4.576550
Batch=1139, step=7140, lr=0.170500, batch loss=0.216408, epoch loss=4.792958
Batch=1199, step=7200, lr=0.170250, batch loss=0.182766, epoch loss=4.975724
Epoch=5, step=7200, lr=0.170250, epoch loss=4.975724
Batch=59, step=7260, lr=0.170000, batch loss=0.238713, epoch loss=0.238713
Batch=119, step=7320, lr=0.169750, batch loss=0.181193, epoch loss=0.419905
Batch=179, step=7380, lr=0.169500, batch loss=0.195549, epoch loss=0.615455
Batch=239, step=7440, lr=0.169250, batch loss=0.291493, epoch loss=0.906948
Batch=299, step=7500, lr=0.169000, batch loss=0.208959, epoch loss=1.115907
Batch=359, step=7560, lr=0.168750, batch loss=0.261399, epoch loss=1.377306
Batch=419, step=7620, lr=0.168500, batch loss=0.255549, epoch loss=1.632855
Batch=479, step=7680, lr=0.168250, batch loss=0.239016, epoch loss=1.871872
Batch=539, step=7740, lr=0.168000, batch loss=0.185813, epoch loss=2.057685
Batch=599, step=7800, lr=0.167750, batch loss=0.224799, epoch loss=2.282484
Batch=659, step=7860, lr=0.167500, batch loss=0.304847, epoch loss=2.587331
Batch=719, step=7920, lr=0.167250, batch loss=0.308957, epoch loss=2.896288
Batch=779, step=7980, lr=0.167000, batch loss=0.320968, epoch loss=3.217256
Batch=839, step=8040, lr=0.166750, batch loss=0.297406, epoch loss=3.514662
Batch=899, step=8100, lr=0.166500, batch loss=0.258971, epoch loss=3.773633
Batch=959, step=8160, lr=0.166250, batch loss=0.210015, epoch loss=3.983648
Batch=1019, step=8220, lr=0.166000, batch loss=0.315339, epoch loss=4.298987
Batch=1079, step=8280, lr=0.165750, batch loss=0.171779, epoch loss=4.470765
Batch=1139, step=8340, lr=0.165500, batch loss=0.210222, epoch loss=4.680987
Batch=1199, step=8400, lr=0.165250, batch loss=0.178280, epoch loss=4.859267
Epoch=6, step=8400, lr=0.165250, epoch loss=4.859267
Batch=59, step=8460, lr=0.165000, batch loss=0.229794, epoch loss=0.229794
Batch=119, step=8520, lr=0.164750, batch loss=0.175712, epoch loss=0.405506
Batch=179, step=8580, lr=0.164500, batch loss=0.188370, epoch loss=0.593876
Batch=239, step=8640, lr=0.164250, batch loss=0.278940, epoch loss=0.872816
Batch=299, step=8700, lr=0.164000, batch loss=0.190076, epoch loss=1.062892
Batch=359, step=8760, lr=0.163750, batch loss=0.251424, epoch loss=1.314316
Batch=419, step=8820, lr=0.163500, batch loss=0.244655, epoch loss=1.558972
Batch=479, step=8880, lr=0.163250, batch loss=0.228303, epoch loss=1.787274
Batch=539, step=8940, lr=0.163000, batch loss=0.179188, epoch loss=1.966462
Batch=599, step=9000, lr=0.162750, batch loss=0.217494, epoch loss=2.183956
Batch=659, step=9060, lr=0.162500, batch loss=0.294268, epoch loss=2.478225
Batch=719, step=9120, lr=0.162250, batch loss=0.297851, epoch loss=2.776075
Batch=779, step=9180, lr=0.162000, batch loss=0.315580, epoch loss=3.091655
Batch=839, step=9240, lr=0.161750, batch loss=0.282292, epoch loss=3.373947
Batch=899, step=9300, lr=0.161500, batch loss=0.252614, epoch loss=3.626562
Batch=959, step=9360, lr=0.161250, batch loss=0.198882, epoch loss=3.825443
Batch=1019, step=9420, lr=0.161000, batch loss=0.308424, epoch loss=4.133867
Batch=1079, step=9480, lr=0.160750, batch loss=0.195829, epoch loss=4.329696
Batch=1139, step=9540, lr=0.160500, batch loss=0.214105, epoch loss=4.543801
Batch=1199, step=9600, lr=0.160250, batch loss=0.167851, epoch loss=4.711652
Epoch=7, step=9600, lr=0.160250, epoch loss=4.711652
Batch=59, step=9660, lr=0.160000, batch loss=0.203611, epoch loss=0.203611
Batch=119, step=9720, lr=0.159750, batch loss=0.176425, epoch loss=0.380035
Batch=179, step=9780, lr=0.159500, batch loss=0.179853, epoch loss=0.559888
Batch=239, step=9840, lr=0.159250, batch loss=0.264386, epoch loss=0.824274
Batch=299, step=9900, lr=0.159000, batch loss=0.181716, epoch loss=1.005990
Batch=359, step=9960, lr=0.158750, batch loss=0.242079, epoch loss=1.248069
Batch=419, step=10020, lr=0.158500, batch loss=0.234732, epoch loss=1.482801
Batch=479, step=10080, lr=0.158250, batch loss=0.220227, epoch loss=1.703028
Batch=539, step=10140, lr=0.157750, batch loss=0.170926, epoch loss=1.873954
Batch=599, step=10200, lr=0.157750, batch loss=0.203320, epoch loss=2.077275
Batch=659, step=10260, lr=0.157500, batch loss=0.282010, epoch loss=2.359284
Batch=719, step=10320, lr=0.157250, batch loss=0.286860, epoch loss=2.646144
Batch=779, step=10380, lr=0.157000, batch loss=0.295803, epoch loss=2.941947
Batch=839, step=10440, lr=0.156500, batch loss=0.267407, epoch loss=3.209354
Batch=899, step=10500, lr=0.156500, batch loss=0.242696, epoch loss=3.452050
Batch=959, step=10560, lr=0.156250, batch loss=0.197415, epoch loss=3.649466
Batch=1019, step=10620, lr=0.156000, batch loss=0.281103, epoch loss=3.930569
Batch=1079, step=10680, lr=0.155750, batch loss=0.171384, epoch loss=4.101954
Batch=1139, step=10740, lr=0.155500, batch loss=0.198427, epoch loss=4.300381
Batch=1199, step=10800, lr=0.155250, batch loss=0.155142, epoch loss=4.455523
Epoch=8, step=10800, lr=0.155250, epoch loss=4.455523
Batch=59, step=10860, lr=0.155000, batch loss=0.180388, epoch loss=0.180388
Batch=119, step=10920, lr=0.154750, batch loss=0.150191, epoch loss=0.330579
Batch=179, step=10980, lr=0.154500, batch loss=0.166571, epoch loss=0.497150
Batch=239, step=11040, lr=0.154250, batch loss=0.242289, epoch loss=0.739438
Batch=299, step=11100, lr=0.154000, batch loss=0.172156, epoch loss=0.911594
Batch=359, step=11160, lr=0.153750, batch loss=0.221762, epoch loss=1.133356
Batch=419, step=11220, lr=0.153500, batch loss=0.216764, epoch loss=1.350121
Batch=479, step=11280, lr=0.153250, batch loss=0.212768, epoch loss=1.562888
Batch=539, step=11340, lr=0.153000, batch loss=0.170070, epoch loss=1.732958
Batch=599, step=11400, lr=0.152750, batch loss=0.175447, epoch loss=1.908406
Batch=659, step=11460, lr=0.152500, batch loss=0.262219, epoch loss=2.170624
Batch=719, step=11520, lr=0.152250, batch loss=0.263886, epoch loss=2.434511
Batch=779, step=11580, lr=0.152000, batch loss=0.272513, epoch loss=2.707024
Batch=839, step=11640, lr=0.151750, batch loss=0.251667, epoch loss=2.958691
Batch=899, step=11700, lr=0.151500, batch loss=0.219377, epoch loss=3.178068
Batch=959, step=11760, lr=0.151250, batch loss=0.184985, epoch loss=3.363052
Batch=1019, step=11820, lr=0.151000, batch loss=0.275575, epoch loss=3.638627
Batch=1079, step=11880, lr=0.150750, batch loss=0.149703, epoch loss=3.788330
Batch=1139, step=11940, lr=0.150500, batch loss=0.179557, epoch loss=3.967887
Batch=1199, step=12000, lr=0.150250, batch loss=0.140288, epoch loss=4.108175
Epoch=9, step=12000, lr=0.150250, epoch loss=4.108175
Batch=59, step=12060, lr=0.150000, batch loss=0.160774, epoch loss=0.160774
Batch=119, step=12120, lr=0.149750, batch loss=0.136809, epoch loss=0.297583
Batch=179, step=12180, lr=0.149500, batch loss=0.151783, epoch loss=0.449366
Batch=239, step=12240, lr=0.149250, batch loss=0.220667, epoch loss=0.670033
Batch=299, step=12300, lr=0.149000, batch loss=0.143497, epoch loss=0.813530
Batch=359, step=12360, lr=0.148750, batch loss=0.197777, epoch loss=1.011307
Batch=419, step=12420, lr=0.148500, batch loss=0.207525, epoch loss=1.218832
Batch=479, step=12480, lr=0.148250, batch loss=0.179530, epoch loss=1.398361
Batch=539, step=12540, lr=0.148000, batch loss=0.143750, epoch loss=1.542111
Batch=599, step=12600, lr=0.147750, batch loss=0.150118, epoch loss=1.692230
Batch=659, step=12660, lr=0.147500, batch loss=0.228348, epoch loss=1.920578
Batch=719, step=12720, lr=0.147250, batch loss=0.236324, epoch loss=2.156902
Batch=779, step=12780, lr=0.147000, batch loss=0.266143, epoch loss=2.423045
Batch=839, step=12840, lr=0.146750, batch loss=0.233725, epoch loss=2.656770
Batch=899, step=12900, lr=0.146500, batch loss=0.202348, epoch loss=2.859118
Batch=959, step=12960, lr=0.146250, batch loss=0.151619, epoch loss=3.010737
Batch=1019, step=13020, lr=0.146000, batch loss=0.265092, epoch loss=3.275829
Batch=1079, step=13080, lr=0.145750, batch loss=0.114619, epoch loss=3.390448
Batch=1139, step=13140, lr=0.145500, batch loss=0.152452, epoch loss=3.542900
Batch=1199, step=13200, lr=0.145250, batch loss=0.118380, epoch loss=3.661280
Epoch=10, step=13200, lr=0.145250, epoch loss=3.661280
Batch=59, step=13260, lr=0.145000, batch loss=0.137903, epoch loss=0.137903
Batch=119, step=13320, lr=0.144750, batch loss=0.120059, epoch loss=0.257962
Batch=179, step=13380, lr=0.144500, batch loss=0.127981, epoch loss=0.385943
Batch=239, step=13440, lr=0.144250, batch loss=0.184587, epoch loss=0.570530
Batch=299, step=13500, lr=0.144000, batch loss=0.115115, epoch loss=0.685645
Batch=359, step=13560, lr=0.143750, batch loss=0.162773, epoch loss=0.848418
Batch=419, step=13620, lr=0.143500, batch loss=0.163996, epoch loss=1.012414
Batch=479, step=13680, lr=0.143250, batch loss=0.145899, epoch loss=1.158313
Batch=539, step=13740, lr=0.143000, batch loss=0.121234, epoch loss=1.279547
Batch=599, step=13800, lr=0.142750, batch loss=0.121620, epoch loss=1.401168
Batch=659, step=13860, lr=0.142500, batch loss=0.177248, epoch loss=1.578416
Batch=719, step=13920, lr=0.142250, batch loss=0.176837, epoch loss=1.755253
Batch=779, step=13980, lr=0.142000, batch loss=0.199970, epoch loss=1.955223
Batch=839, step=14040, lr=0.141750, batch loss=0.201514, epoch loss=2.156737
Batch=899, step=14100, lr=0.141500, batch loss=0.215015, epoch loss=2.371752
Batch=959, step=14160, lr=0.141250, batch loss=0.107218, epoch loss=2.478970
Batch=1019, step=14220, lr=0.141000, batch loss=0.193711, epoch loss=2.672682
Batch=1079, step=14280, lr=0.140750, batch loss=0.081498, epoch loss=2.754179
Batch=1139, step=14340, lr=0.140500, batch loss=0.128006, epoch loss=2.882186
Batch=1199, step=14400, lr=0.140250, batch loss=0.087128, epoch loss=2.969314
Epoch=11, step=14400, lr=0.140250, epoch loss=2.969314
Batch=59, step=14460, lr=0.140000, batch loss=0.112257, epoch loss=0.112257
Batch=119, step=14520, lr=0.139750, batch loss=0.110354, epoch loss=0.222611
Batch=179, step=14580, lr=0.139500, batch loss=0.104765, epoch loss=0.327376
Batch=239, step=14640, lr=0.139250, batch loss=0.140113, epoch loss=0.467489
Batch=299, step=14700, lr=0.139000, batch loss=0.082421, epoch loss=0.549910
Batch=359, step=14760, lr=0.138750, batch loss=0.122707, epoch loss=0.672617
Batch=419, step=14820, lr=0.138500, batch loss=0.132756, epoch loss=0.805373
Batch=479, step=14880, lr=0.138250, batch loss=0.101705, epoch loss=0.907079
Batch=539, step=14940, lr=0.138000, batch loss=0.106455, epoch loss=1.013534
Batch=599, step=15000, lr=0.137750, batch loss=0.085571, epoch loss=1.099105
Batch=659, step=15060, lr=0.137500, batch loss=0.129822, epoch loss=1.228926
Batch=719, step=15120, lr=0.137250, batch loss=0.130503, epoch loss=1.359429
Batch=779, step=15180, lr=0.137000, batch loss=0.151482, epoch loss=1.510911
Batch=839, step=15240, lr=0.136750, batch loss=0.181332, epoch loss=1.692243
Batch=899, step=15300, lr=0.136500, batch loss=0.307176, epoch loss=1.999419
Batch=959, step=15360, lr=0.136250, batch loss=0.056660, epoch loss=2.056078
Batch=1019, step=15420, lr=0.136000, batch loss=0.128824, epoch loss=2.184903
Batch=1079, step=15480, lr=0.135750, batch loss=0.052308, epoch loss=2.237211
Batch=1139, step=15540, lr=0.135500, batch loss=0.098877, epoch loss=2.336087
Batch=1199, step=15600, lr=0.135250, batch loss=0.062306, epoch loss=2.398394
Epoch=12, step=15600, lr=0.135250, epoch loss=2.398394
Batch=59, step=15660, lr=0.135000, batch loss=0.082122, epoch loss=0.082122
Batch=119, step=15720, lr=0.134750, batch loss=0.110493, epoch loss=0.192615
Batch=179, step=15780, lr=0.134500, batch loss=0.090815, epoch loss=0.283430
Batch=239, step=15840, lr=0.134250, batch loss=0.097076, epoch loss=0.380506
Batch=299, step=15900, lr=0.134000, batch loss=0.041004, epoch loss=0.421510
Batch=359, step=15960, lr=0.133750, batch loss=0.079060, epoch loss=0.500570
Batch=419, step=16020, lr=0.133500, batch loss=0.083572, epoch loss=0.584143
Batch=479, step=16080, lr=0.133250, batch loss=0.071371, epoch loss=0.655514
Batch=539, step=16140, lr=0.133000, batch loss=0.051944, epoch loss=0.707458
Batch=599, step=16200, lr=0.132750, batch loss=0.101114, epoch loss=0.808572
Batch=659, step=16260, lr=0.132500, batch loss=0.079068, epoch loss=0.887641
Batch=719, step=16320, lr=0.132250, batch loss=0.090766, epoch loss=0.978406
Batch=779, step=16380, lr=0.131750, batch loss=0.128629, epoch loss=1.107035
Batch=839, step=16440, lr=0.131750, batch loss=0.118424, epoch loss=1.225459
Batch=899, step=16500, lr=0.131500, batch loss=0.138097, epoch loss=1.363556
Batch=959, step=16560, lr=0.131250, batch loss=0.041273, epoch loss=1.404829
Batch=1019, step=16620, lr=0.131000, batch loss=0.108001, epoch loss=1.512829
Batch=1079, step=16680, lr=0.130750, batch loss=0.025812, epoch loss=1.538642
Batch=1139, step=16740, lr=0.130500, batch loss=0.056492, epoch loss=1.595133
Batch=1199, step=16800, lr=0.130250, batch loss=0.029701, epoch loss=1.624835
Epoch=13, step=16800, lr=0.130250, epoch loss=1.624835
Batch=59, step=16860, lr=0.130000, batch loss=0.039397, epoch loss=0.039397
Batch=119, step=16920, lr=0.129750, batch loss=0.059037, epoch loss=0.098434
Batch=179, step=16980, lr=0.129500, batch loss=0.050149, epoch loss=0.148583
Batch=239, step=17040, lr=0.129250, batch loss=0.067392, epoch loss=0.215976
Batch=299, step=17100, lr=0.129000, batch loss=0.033351, epoch loss=0.249327
Batch=359, step=17160, lr=0.128750, batch loss=0.053565, epoch loss=0.302893
Batch=419, step=17220, lr=0.128500, batch loss=0.102229, epoch loss=0.405122
Batch=479, step=17280, lr=0.128250, batch loss=0.025365, epoch loss=0.430487
Batch=539, step=17340, lr=0.128000, batch loss=0.030439, epoch loss=0.460926
Batch=599, step=17400, lr=0.127750, batch loss=0.048494, epoch loss=0.509420
Batch=659, step=17460, lr=0.127500, batch loss=0.046479, epoch loss=0.555899
Batch=719, step=17520, lr=0.127250, batch loss=0.040686, epoch loss=0.596586
Batch=779, step=17580, lr=0.127000, batch loss=0.052346, epoch loss=0.648932
Batch=839, step=17640, lr=0.126750, batch loss=0.090946, epoch loss=0.739878
Batch=899, step=17700, lr=0.126500, batch loss=0.051734, epoch loss=0.791613
Batch=959, step=17760, lr=0.126250, batch loss=0.019234, epoch loss=0.810847
Batch=1019, step=17820, lr=0.126000, batch loss=0.027425, epoch loss=0.838272
Batch=1079, step=17880, lr=0.125750, batch loss=0.020836, epoch loss=0.859108
Batch=1139, step=17940, lr=0.125500, batch loss=0.043934, epoch loss=0.903042
Batch=1199, step=18000, lr=0.125250, batch loss=0.017608, epoch loss=0.920650
Epoch=14, step=18000, lr=0.125250, epoch loss=0.920650
Batch=59, step=18060, lr=0.125000, batch loss=0.012399, epoch loss=0.012399
Batch=119, step=18120, lr=0.124750, batch loss=0.020115, epoch loss=0.032514
Batch=179, step=18180, lr=0.124500, batch loss=0.030271, epoch loss=0.062785
Batch=239, step=18240, lr=0.124250, batch loss=0.034082, epoch loss=0.096867
Batch=299, step=18300, lr=0.124000, batch loss=0.009988, epoch loss=0.106855
Batch=359, step=18360, lr=0.123750, batch loss=0.025028, epoch loss=0.131883
Batch=419, step=18420, lr=0.123500, batch loss=0.029059, epoch loss=0.160942
Batch=479, step=18480, lr=0.123250, batch loss=0.014577, epoch loss=0.175519
Batch=539, step=18540, lr=0.123000, batch loss=0.021738, epoch loss=0.197257
Batch=599, step=18600, lr=0.122750, batch loss=0.028329, epoch loss=0.225585
Batch=659, step=18660, lr=0.122500, batch loss=0.027484, epoch loss=0.253070
Batch=719, step=18720, lr=0.122250, batch loss=0.027740, epoch loss=0.280809
Batch=779, step=18780, lr=0.122000, batch loss=0.066332, epoch loss=0.347141
Batch=839, step=18840, lr=0.121750, batch loss=0.140933, epoch loss=0.488074
Batch=899, step=18900, lr=0.121500, batch loss=0.037754, epoch loss=0.525828
Batch=959, step=18960, lr=0.121250, batch loss=0.013502, epoch loss=0.539330
Batch=1019, step=19020, lr=0.121000, batch loss=0.022108, epoch loss=0.561438
Batch=1079, step=19080, lr=0.120750, batch loss=0.008392, epoch loss=0.569830
Batch=1139, step=19140, lr=0.120500, batch loss=0.024147, epoch loss=0.593978
Batch=1199, step=19200, lr=0.120250, batch loss=0.010999, epoch loss=0.604976
Epoch=15, step=19200, lr=0.120250, epoch loss=0.604976
Batch=59, step=19260, lr=0.120000, batch loss=0.005819, epoch loss=0.005819
Batch=119, step=19320, lr=0.119750, batch loss=0.015584, epoch loss=0.021402
Batch=179, step=19380, lr=0.119500, batch loss=0.042387, epoch loss=0.063789
Batch=239, step=19440, lr=0.119250, batch loss=0.022390, epoch loss=0.086179
Batch=299, step=19500, lr=0.119000, batch loss=0.005319, epoch loss=0.091498
Batch=359, step=19560, lr=0.118750, batch loss=0.016819, epoch loss=0.108316
Batch=419, step=19620, lr=0.118250, batch loss=0.019974, epoch loss=0.128290
Batch=479, step=19680, lr=0.118250, batch loss=0.009242, epoch loss=0.137532
Batch=539, step=19740, lr=0.118000, batch loss=0.019217, epoch loss=0.156749
Batch=599, step=19800, lr=0.117750, batch loss=0.020845, epoch loss=0.177594
Batch=659, step=19860, lr=0.117500, batch loss=0.020735, epoch loss=0.198329
Batch=719, step=19920, lr=0.117250, batch loss=0.024357, epoch loss=0.222686
Batch=779, step=19980, lr=0.117000, batch loss=0.056257, epoch loss=0.278943
Batch=839, step=20040, lr=0.116750, batch loss=0.040487, epoch loss=0.319430
Batch=899, step=20100, lr=0.116500, batch loss=0.048792, epoch loss=0.368222
Batch=959, step=20160, lr=0.116250, batch loss=0.011172, epoch loss=0.379394
Batch=1019, step=20220, lr=0.116000, batch loss=0.013684, epoch loss=0.393078
Batch=1079, step=20280, lr=0.115750, batch loss=0.003112, epoch loss=0.396190
Batch=1139, step=20340, lr=0.115500, batch loss=0.015314, epoch loss=0.411503
Batch=1199, step=20400, lr=0.115250, batch loss=0.005607, epoch loss=0.417111
Epoch=16, step=20400, lr=0.115250, epoch loss=0.417111
Batch=59, step=20460, lr=0.115000, batch loss=0.003179, epoch loss=0.003179
Batch=119, step=20520, lr=0.114750, batch loss=0.011423, epoch loss=0.014601
Batch=179, step=20580, lr=0.114500, batch loss=0.026666, epoch loss=0.041268
Batch=239, step=20640, lr=0.114250, batch loss=0.015741, epoch loss=0.057009
Batch=299, step=20700, lr=0.114000, batch loss=0.003683, epoch loss=0.060692
Batch=359, step=20760, lr=0.113750, batch loss=0.013563, epoch loss=0.074254
Batch=419, step=20820, lr=0.113500, batch loss=0.017744, epoch loss=0.091999
Batch=479, step=20880, lr=0.113250, batch loss=0.004416, epoch loss=0.096414
Batch=539, step=20940, lr=0.113000, batch loss=0.015624, epoch loss=0.112038
Batch=599, step=21000, lr=0.112750, batch loss=0.018964, epoch loss=0.131002
Batch=659, step=21060, lr=0.112500, batch loss=0.016487, epoch loss=0.147489
Batch=719, step=21120, lr=0.112250, batch loss=0.055551, epoch loss=0.203039
Batch=779, step=21180, lr=0.112000, batch loss=0.069988, epoch loss=0.273027
Batch=839, step=21240, lr=0.111750, batch loss=0.025993, epoch loss=0.299020
Batch=899, step=21300, lr=0.111500, batch loss=0.030618, epoch loss=0.329637
Batch=959, step=21360, lr=0.111250, batch loss=0.009914, epoch loss=0.339552
Batch=1019, step=21420, lr=0.111000, batch loss=0.011019, epoch loss=0.350571
Batch=1079, step=21480, lr=0.110750, batch loss=0.001332, epoch loss=0.351903
Batch=1139, step=21540, lr=0.110500, batch loss=0.012869, epoch loss=0.364772
Batch=1199, step=21600, lr=0.110250, batch loss=0.005033, epoch loss=0.369805
Epoch=17, step=21600, lr=0.110250, epoch loss=0.369805
Batch=59, step=21660, lr=0.110000, batch loss=0.002749, epoch loss=0.002749
Batch=119, step=21720, lr=0.109750, batch loss=0.007201, epoch loss=0.009950
Batch=179, step=21780, lr=0.109500, batch loss=0.013468, epoch loss=0.023418
Batch=239, step=21840, lr=0.109250, batch loss=0.010452, epoch loss=0.033871
Batch=299, step=21900, lr=0.109000, batch loss=0.001949, epoch loss=0.035820
Batch=359, step=21960, lr=0.108750, batch loss=0.010916, epoch loss=0.046735
Batch=419, step=22020, lr=0.108500, batch loss=0.011863, epoch loss=0.058598
Batch=479, step=22080, lr=0.108250, batch loss=0.003932, epoch loss=0.062529
Batch=539, step=22140, lr=0.108000, batch loss=0.015304, epoch loss=0.077833
Batch=599, step=22200, lr=0.107750, batch loss=0.015419, epoch loss=0.093252
Batch=659, step=22260, lr=0.107500, batch loss=0.013069, epoch loss=0.106321
Batch=719, step=22320, lr=0.107250, batch loss=0.027171, epoch loss=0.133492
Batch=779, step=22380, lr=0.107000, batch loss=0.040594, epoch loss=0.174087
Batch=839, step=22440, lr=0.106750, batch loss=0.022501, epoch loss=0.196588
Batch=899, step=22500, lr=0.106500, batch loss=0.021094, epoch loss=0.217682
Batch=959, step=22560, lr=0.106250, batch loss=0.010642, epoch loss=0.228324
Batch=1019, step=22620, lr=0.106000, batch loss=0.010247, epoch loss=0.238571
Batch=1079, step=22680, lr=0.105750, batch loss=0.000551, epoch loss=0.239122
Batch=1139, step=22740, lr=0.105500, batch loss=0.010294, epoch loss=0.249416
Batch=1199, step=22800, lr=0.105250, batch loss=0.004392, epoch loss=0.253808
Epoch=18, step=22800, lr=0.105250, epoch loss=0.253808
Batch=59, step=22860, lr=0.105000, batch loss=0.001329, epoch loss=0.001329
Batch=119, step=22920, lr=0.104750, batch loss=0.005582, epoch loss=0.006910
Batch=179, step=22980, lr=0.104500, batch loss=0.011164, epoch loss=0.018074
Batch=239, step=23040, lr=0.104250, batch loss=0.008533, epoch loss=0.026607
Batch=299, step=23100, lr=0.104000, batch loss=0.008375, epoch loss=0.034982
Batch=359, step=23160, lr=0.103750, batch loss=0.012449, epoch loss=0.047431
Batch=419, step=23220, lr=0.103500, batch loss=0.010521, epoch loss=0.057953
Batch=479, step=23280, lr=0.103250, batch loss=0.002805, epoch loss=0.060758
Batch=539, step=23340, lr=0.103000, batch loss=0.016993, epoch loss=0.077752
Batch=599, step=23400, lr=0.102750, batch loss=0.013961, epoch loss=0.091713
Batch=659, step=23460, lr=0.102500, batch loss=0.011390, epoch loss=0.103103
Batch=719, step=23520, lr=0.102250, batch loss=0.014943, epoch loss=0.118046
Batch=779, step=23580, lr=0.102000, batch loss=0.023807, epoch loss=0.141852
Batch=839, step=23640, lr=0.101750, batch loss=0.027211, epoch loss=0.169064
Batch=899, step=23700, lr=0.101500, batch loss=0.021583, epoch loss=0.190647
Batch=959, step=23760, lr=0.101250, batch loss=0.008132, epoch loss=0.198778
Batch=1019, step=23820, lr=0.101000, batch loss=0.008726, epoch loss=0.207504
Batch=1079, step=23880, lr=0.100750, batch loss=0.001664, epoch loss=0.209168
Batch=1139, step=23940, lr=0.100500, batch loss=0.008465, epoch loss=0.217634
Batch=1199, step=24000, lr=0.100250, batch loss=0.004730, epoch loss=0.222364
Epoch=19, step=24000, lr=0.100250, epoch loss=0.222364


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 19:31.06: Job failed: Failed: Build failed