alpine-3.21-5.3_opam-2.3

2025-05-15 13:37.50: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (9156a204994bc18bf1bb375e2a01c887bd47fc08) (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 9156a204
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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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


2025-05-15 13:37.50: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-15 13:37.50: 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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"))
)


2025-05-15 13:37.50: Waiting for resource in pool OCluster
2025-05-15 13:37.50: Waiting for worker…
2025-05-15 13:51.02: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 9156a204 Logging test harness


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-15 13:51.33 ---> 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"))
2025-05-15 13:51.33 ---> 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.


Continue? [y/n] y
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.


[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
2025-05-15 13:52.10 ---> 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
2025-05-15 13:52.10 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-15 13:52.10 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..8efeb9aa26  master     -> origin/master
997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2


<><> 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)
2025-05-15 13:52.42 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-15 13:52.42 ---> saved as "3447341e45978511d37496412d8cf0bd00152169666b38173df912c353af7377"


/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)
2025-05-15 13:52.50 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-15 13:52.50 ---> saved as "032adceba002b196443012a023eeef306584e0583f4bdf0e11c942b3c2d8c555"


/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
- v3.21.3-480-gb04256b6954 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-482-gf091f8194f5 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8287-g183b05ebd06 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8290-g19ac03e5abc [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8285-gdc4ecc886ee [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58216 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
2025-05-15 13:53.18 ---> saved as "82f4d363aec3a0953aa85de2f732fa1af9e4b084c77f4dc79755c8c94150aee7"


/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 bigarray-compat.1.1.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (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 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 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.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (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_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> retrieved result.1.5  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> installed seq.base
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved 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 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 fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed printbox.0.12
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed dune-configurator.3.18.2
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.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 base.v0.17.2
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_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)
2025-05-15 13:58.12 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050"


/src: (copy (src .) (dst /src))
2025-05-15 13:58.13 ---> saved as "9ccdfa0411ed0aa7208192d25c591e9855b5a8a4cf72328efb1b8eba5475db8d"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(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/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/acafae3eddf2dbd5bf2f93a73acb3e62/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 19-41, characters 0-727:
19 | (rule
20 |  (target
21 |   (dir log_files))
....
39 |     "\\1[0]{=MAYBE UNINITIALIZED} = "
40 |     "log_files/micrograd_demo_logging-g_gradient_update.log"
41 |     "log_files/micrograd_demo_logging-g_gradient_update.log"))))
(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_routine_files=overwrite)


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 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_debug_log_to_routine_files
Found overwrite, commandline --ocannl_debug_log_to_routine_files=overwrite
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/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/11ef6365d4c3983959f364f097f3aa1d/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/11ef6365d4c3983959f364f097f3aa1d/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 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_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189500, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189250, batch loss=0.221141, epoch loss=0.647466
Batch=239, step=2640, lr=0.189250, batch loss=0.328104, epoch loss=0.975570
Batch=299, step=2700, lr=0.189000, batch loss=0.202967, epoch loss=1.178537
Batch=359, step=2760, lr=0.188750, batch loss=0.289874, epoch loss=1.468411
Batch=419, step=2820, lr=0.188500, batch loss=0.281770, epoch loss=1.750181
Batch=479, step=2880, lr=0.188250, batch loss=0.264813, epoch loss=2.014994
Batch=539, step=2940, lr=0.188000, batch loss=0.203835, epoch loss=2.218829
Batch=599, step=3000, lr=0.187750, batch loss=0.248034, epoch loss=2.466863
Batch=659, step=3060, lr=0.187500, batch loss=0.345089, epoch loss=2.811952
Batch=719, step=3120, lr=0.187250, batch loss=0.343512, epoch loss=3.155464
Batch=779, step=3180, lr=0.187000, batch loss=0.367022, epoch loss=3.522486
Batch=839, step=3240, lr=0.186750, batch loss=0.321769, epoch loss=3.844255
Batch=899, step=3300, lr=0.186500, batch loss=0.283891, epoch loss=4.128146
Batch=959, step=3360, lr=0.186250, batch loss=0.214375, epoch loss=4.342521
Batch=1019, step=3420, lr=0.186000, batch loss=0.306450, epoch loss=4.648971
Batch=1079, step=3480, lr=0.185750, batch loss=0.177260, epoch loss=4.826231
Batch=1139, step=3540, lr=0.185500, batch loss=0.235606, epoch loss=5.061837
Batch=1199, step=3600, lr=0.185250, batch loss=0.197913, epoch loss=5.259750
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259750
Batch=59, step=3660, lr=0.185000, batch loss=0.226501, epoch loss=0.226501
Batch=119, step=3720, lr=0.184750, batch loss=0.191837, epoch loss=0.418338
Batch=179, step=3780, lr=0.184500, batch loss=0.210713, epoch loss=0.629051
Batch=239, step=3840, lr=0.184250, batch loss=0.314093, epoch loss=0.943144
Batch=299, step=3900, lr=0.184000, batch loss=0.206058, epoch loss=1.149202
Batch=359, step=3960, lr=0.183750, batch loss=0.291197, epoch loss=1.440398
Batch=419, step=4020, lr=0.183500, batch loss=0.297489, epoch loss=1.737888
Batch=479, step=4080, lr=0.183250, batch loss=0.260472, epoch loss=1.998359
Batch=539, step=4140, lr=0.183000, batch loss=0.195261, epoch loss=2.193621
Batch=599, step=4200, lr=0.182750, batch loss=0.230346, epoch loss=2.423967
Batch=659, step=4260, lr=0.182250, batch loss=0.337187, epoch loss=2.761154
Batch=719, step=4320, lr=0.182250, batch loss=0.347007, epoch loss=3.108161
Batch=779, step=4380, lr=0.182000, batch loss=0.346424, epoch loss=3.454585
Batch=839, step=4440, lr=0.181750, batch loss=0.317676, epoch loss=3.772262
Batch=899, step=4500, lr=0.181500, batch loss=0.284061, epoch loss=4.056323
Batch=959, step=4560, lr=0.181250, batch loss=0.238155, epoch loss=4.294479
Batch=1019, step=4620, lr=0.181000, batch loss=0.337155, epoch loss=4.631634
Batch=1079, step=4680, lr=0.180750, batch loss=0.208312, epoch loss=4.839946
Batch=1139, step=4740, lr=0.180500, batch loss=0.249374, epoch loss=5.089319
Batch=1199, step=4800, lr=0.180000, batch loss=0.191773, epoch loss=5.281092
Epoch=3, step=4800, lr=0.180000, epoch loss=5.281092
Batch=59, step=4860, lr=0.180000, batch loss=0.227932, epoch loss=0.227932
Batch=119, step=4920, lr=0.179750, batch loss=0.190343, epoch loss=0.418275
Batch=179, step=4980, lr=0.179500, batch loss=0.205919, epoch loss=0.624194
Batch=239, step=5040, lr=0.179250, batch loss=0.309007, epoch loss=0.933201
Batch=299, step=5100, lr=0.179000, batch loss=0.204718, epoch loss=1.137919
Batch=359, step=5160, lr=0.178750, batch loss=0.271069, epoch loss=1.408988
Batch=419, step=5220, lr=0.178500, batch loss=0.264085, epoch loss=1.673073
Batch=479, step=5280, lr=0.178250, batch loss=0.239639, epoch loss=1.912711
Batch=539, step=5340, lr=0.178000, batch loss=0.189557, epoch loss=2.102268
Batch=599, step=5400, lr=0.177750, batch loss=0.230867, epoch loss=2.333135
Batch=659, step=5460, lr=0.177250, batch loss=0.323708, epoch loss=2.656843
Batch=719, step=5520, lr=0.177250, batch loss=0.325720, epoch loss=2.982563
Batch=779, step=5580, lr=0.177000, batch loss=0.338108, epoch loss=3.320670
Batch=839, step=5640, lr=0.176750, batch loss=0.314255, epoch loss=3.634925
Batch=899, step=5700, lr=0.176500, batch loss=0.277680, epoch loss=3.912605
Batch=959, step=5760, lr=0.176250, batch loss=0.220198, epoch loss=4.132802
Batch=1019, step=5820, lr=0.176000, batch loss=0.333692, epoch loss=4.466494
Batch=1079, step=5880, lr=0.175750, batch loss=0.194685, epoch loss=4.661179
Batch=1139, step=5940, lr=0.175500, batch loss=0.227750, epoch loss=4.888929
Batch=1199, step=6000, lr=0.175250, batch loss=0.183418, epoch loss=5.072347
Epoch=4, step=6000, lr=0.175250, epoch loss=5.072347
Batch=59, step=6060, lr=0.175000, batch loss=0.224419, epoch loss=0.224419
Batch=119, step=6120, lr=0.174750, batch loss=0.184264, epoch loss=0.408682
Batch=179, step=6180, lr=0.174500, batch loss=0.200888, epoch loss=0.609571
Batch=239, step=6240, lr=0.174250, batch loss=0.301114, epoch loss=0.910685
Batch=299, step=6300, lr=0.173750, batch loss=0.212632, epoch loss=1.123317
Batch=359, step=6360, lr=0.173500, batch loss=0.273015, epoch loss=1.396332
Batch=419, step=6420, lr=0.173500, batch loss=0.266541, epoch loss=1.662873
Batch=479, step=6480, lr=0.173000, batch loss=0.241823, epoch loss=1.904696
Batch=539, step=6540, lr=0.172750, batch loss=0.195794, epoch loss=2.100490
Batch=599, step=6600, lr=0.172750, batch loss=0.233159, epoch loss=2.333648
Batch=659, step=6660, lr=0.172500, batch loss=0.312575, epoch loss=2.646223
Batch=719, step=6720, lr=0.172250, batch loss=0.318644, epoch loss=2.964867
Batch=779, step=6780, lr=0.172000, batch loss=0.335047, epoch loss=3.299914
Batch=839, step=6840, lr=0.171750, batch loss=0.303041, epoch loss=3.602955
Batch=899, step=6900, lr=0.171500, batch loss=0.267980, epoch loss=3.870935
Batch=959, step=6960, lr=0.171250, batch loss=0.211906, epoch loss=4.082841
Batch=1019, step=7020, lr=0.171000, batch loss=0.331138, epoch loss=4.413979
Batch=1079, step=7080, lr=0.170750, batch loss=0.185474, epoch loss=4.599453
Batch=1139, step=7140, lr=0.170500, batch loss=0.215198, epoch loss=4.814651
Batch=1199, step=7200, lr=0.170250, batch loss=0.185228, epoch loss=4.999880
Epoch=5, step=7200, lr=0.170250, epoch loss=4.999880
Batch=59, step=7260, lr=0.170000, batch loss=0.234904, epoch loss=0.234904
Batch=119, step=7320, lr=0.169750, batch loss=0.183063, epoch loss=0.417967
Batch=179, step=7380, lr=0.169500, batch loss=0.195632, epoch loss=0.613599
Batch=239, step=7440, lr=0.169000, batch loss=0.294191, epoch loss=0.907790
Batch=299, step=7500, lr=0.169000, batch loss=0.202848, epoch loss=1.110638
Batch=359, step=7560, lr=0.168750, batch loss=0.264978, epoch loss=1.375616
Batch=419, step=7620, lr=0.168500, batch loss=0.256502, epoch loss=1.632118
Batch=479, step=7680, lr=0.168250, batch loss=0.236517, epoch loss=1.868635
Batch=539, step=7740, lr=0.168000, batch loss=0.188686, epoch loss=2.057321
Batch=599, step=7800, lr=0.167750, batch loss=0.225093, epoch loss=2.282414
Batch=659, step=7860, lr=0.167500, batch loss=0.304599, epoch loss=2.587013
Batch=719, step=7920, lr=0.167250, batch loss=0.307945, epoch loss=2.894957
Batch=779, step=7980, lr=0.167000, batch loss=0.324418, epoch loss=3.219375
Batch=839, step=8040, lr=0.166750, batch loss=0.293034, epoch loss=3.512410
Batch=899, step=8100, lr=0.166500, batch loss=0.260927, epoch loss=3.773337
Batch=959, step=8160, lr=0.166250, batch loss=0.203094, epoch loss=3.976431
Batch=1019, step=8220, lr=0.166000, batch loss=0.317249, epoch loss=4.293681
Batch=1079, step=8280, lr=0.165750, batch loss=0.170159, epoch loss=4.463840
Batch=1139, step=8340, lr=0.165500, batch loss=0.206955, epoch loss=4.670795
Batch=1199, step=8400, lr=0.165250, batch loss=0.179412, epoch loss=4.850207
Epoch=6, step=8400, lr=0.165250, epoch loss=4.850207
Batch=59, step=8460, lr=0.165000, batch loss=0.227119, epoch loss=0.227119
Batch=119, step=8520, lr=0.164750, batch loss=0.176138, epoch loss=0.403257
Batch=179, step=8580, lr=0.164500, batch loss=0.187505, epoch loss=0.590762
Batch=239, step=8640, lr=0.164250, batch loss=0.280687, epoch loss=0.871449
Batch=299, step=8700, lr=0.164000, batch loss=0.194901, epoch loss=1.066350
Batch=359, step=8760, lr=0.163750, batch loss=0.254007, epoch loss=1.320358
Batch=419, step=8820, lr=0.163250, batch loss=0.245784, epoch loss=1.566142
Batch=479, step=8880, lr=0.163250, batch loss=0.227937, epoch loss=1.794078
Batch=539, step=8940, lr=0.163000, batch loss=0.179633, epoch loss=1.973712
Batch=599, step=9000, lr=0.162750, batch loss=0.217128, epoch loss=2.190839
Batch=659, step=9060, lr=0.162250, batch loss=0.293758, epoch loss=2.484597
Batch=719, step=9120, lr=0.162250, batch loss=0.292758, epoch loss=2.777356
Batch=779, step=9180, lr=0.162000, batch loss=0.315928, epoch loss=3.093283
Batch=839, step=9240, lr=0.161750, batch loss=0.285621, epoch loss=3.378905
Batch=899, step=9300, lr=0.161500, batch loss=0.251498, epoch loss=3.630403
Batch=959, step=9360, lr=0.161250, batch loss=0.188270, epoch loss=3.818673
Batch=1019, step=9420, lr=0.161000, batch loss=0.317953, epoch loss=4.136625
Batch=1079, step=9480, lr=0.160750, batch loss=0.199970, epoch loss=4.336595
Batch=1139, step=9540, lr=0.160500, batch loss=0.211752, epoch loss=4.548347
Batch=1199, step=9600, lr=0.160250, batch loss=0.166845, epoch loss=4.715192
Epoch=7, step=9600, lr=0.160250, epoch loss=4.715192
Batch=59, step=9660, lr=0.160000, batch loss=0.201917, epoch loss=0.201917
Batch=119, step=9720, lr=0.159750, batch loss=0.169888, epoch loss=0.371805
Batch=179, step=9780, lr=0.159500, batch loss=0.178952, epoch loss=0.550757
Batch=239, step=9840, lr=0.159250, batch loss=0.261786, epoch loss=0.812542
Batch=299, step=9900, lr=0.159000, batch loss=0.183095, epoch loss=0.995637
Batch=359, step=9960, lr=0.158750, batch loss=0.239319, epoch loss=1.234956
Batch=419, step=10020, lr=0.158500, batch loss=0.232811, epoch loss=1.467767
Batch=479, step=10080, lr=0.158250, batch loss=0.213142, epoch loss=1.680910
Batch=539, step=10140, lr=0.158000, batch loss=0.171151, epoch loss=1.852061
Batch=599, step=10200, lr=0.157750, batch loss=0.201097, epoch loss=2.053158
Batch=659, step=10260, lr=0.157500, batch loss=0.281680, epoch loss=2.334838
Batch=719, step=10320, lr=0.157250, batch loss=0.285117, epoch loss=2.619955
Batch=779, step=10380, lr=0.157000, batch loss=0.295041, epoch loss=2.914996
Batch=839, step=10440, lr=0.156750, batch loss=0.273238, epoch loss=3.188234
Batch=899, step=10500, lr=0.156500, batch loss=0.235335, epoch loss=3.423569
Batch=959, step=10560, lr=0.156250, batch loss=0.182181, epoch loss=3.605750
Batch=1019, step=10620, lr=0.156000, batch loss=0.297045, epoch loss=3.902795
Batch=1079, step=10680, lr=0.155750, batch loss=0.177883, epoch loss=4.080678
Batch=1139, step=10740, lr=0.155500, batch loss=0.204808, epoch loss=4.285486
Batch=1199, step=10800, lr=0.155250, batch loss=0.154491, epoch loss=4.439978
Epoch=8, step=10800, lr=0.155250, epoch loss=4.439978
Batch=59, step=10860, lr=0.155000, batch loss=0.176899, epoch loss=0.176899
Batch=119, step=10920, lr=0.154750, batch loss=0.150967, epoch loss=0.327866
Batch=179, step=10980, lr=0.154500, batch loss=0.167355, epoch loss=0.495222
Batch=239, step=11040, lr=0.154250, batch loss=0.247437, epoch loss=0.742659
Batch=299, step=11100, lr=0.154000, batch loss=0.165355, epoch loss=0.908014
Batch=359, step=11160, lr=0.153750, batch loss=0.223306, epoch loss=1.131319
Batch=419, step=11220, lr=0.153500, batch loss=0.227531, epoch loss=1.358850
Batch=479, step=11280, lr=0.153250, batch loss=0.203492, epoch loss=1.562343
Batch=539, step=11340, lr=0.153000, batch loss=0.158311, epoch loss=1.720654
Batch=599, step=11400, lr=0.152750, batch loss=0.179427, epoch loss=1.900081
Batch=659, step=11460, lr=0.152500, batch loss=0.264386, epoch loss=2.164467
Batch=719, step=11520, lr=0.152250, batch loss=0.255621, epoch loss=2.420088
Batch=779, step=11580, lr=0.152000, batch loss=0.271675, epoch loss=2.691763
Batch=839, step=11640, lr=0.151750, batch loss=0.255149, epoch loss=2.946912
Batch=899, step=11700, lr=0.151500, batch loss=0.211950, epoch loss=3.158862
Batch=959, step=11760, lr=0.151250, batch loss=0.169085, epoch loss=3.327948
Batch=1019, step=11820, lr=0.151000, batch loss=0.263981, epoch loss=3.591929
Batch=1079, step=11880, lr=0.150750, batch loss=0.148217, epoch loss=3.740146
Batch=1139, step=11940, lr=0.150500, batch loss=0.186890, epoch loss=3.927036
Batch=1199, step=12000, lr=0.150250, batch loss=0.138704, epoch loss=4.065740
Epoch=9, step=12000, lr=0.150250, epoch loss=4.065740
Batch=59, step=12060, lr=0.150000, batch loss=0.157143, epoch loss=0.157143
Batch=119, step=12120, lr=0.149750, batch loss=0.127549, epoch loss=0.284692
Batch=179, step=12180, lr=0.149500, batch loss=0.151662, epoch loss=0.436354
Batch=239, step=12240, lr=0.149250, batch loss=0.218798, epoch loss=0.655152
Batch=299, step=12300, lr=0.149000, batch loss=0.139726, epoch loss=0.794877
Batch=359, step=12360, lr=0.148750, batch loss=0.196833, epoch loss=0.991710
Batch=419, step=12420, lr=0.148500, batch loss=0.213506, epoch loss=1.205216
Batch=479, step=12480, lr=0.148000, batch loss=0.171676, epoch loss=1.376893
Batch=539, step=12540, lr=0.148000, batch loss=0.145714, epoch loss=1.522607
Batch=599, step=12600, lr=0.147750, batch loss=0.154854, epoch loss=1.677461
Batch=659, step=12660, lr=0.147500, batch loss=0.232536, epoch loss=1.909996
Batch=719, step=12720, lr=0.147250, batch loss=0.224175, epoch loss=2.134172
Batch=779, step=12780, lr=0.147000, batch loss=0.236046, epoch loss=2.370217
Batch=839, step=12840, lr=0.146750, batch loss=0.229137, epoch loss=2.599354
Batch=899, step=12900, lr=0.146500, batch loss=0.215086, epoch loss=2.814441
Batch=959, step=12960, lr=0.146250, batch loss=0.158598, epoch loss=2.973038
Batch=1019, step=13020, lr=0.146000, batch loss=0.262143, epoch loss=3.235181
Batch=1079, step=13080, lr=0.145750, batch loss=0.112150, epoch loss=3.347331
Batch=1139, step=13140, lr=0.145500, batch loss=0.155952, epoch loss=3.503283
Batch=1199, step=13200, lr=0.145250, batch loss=0.117849, epoch loss=3.621132
Epoch=10, step=13200, lr=0.145250, epoch loss=3.621132
Batch=59, step=13260, lr=0.145000, batch loss=0.141503, epoch loss=0.141503
Batch=119, step=13320, lr=0.144750, batch loss=0.120024, epoch loss=0.261527
Batch=179, step=13380, lr=0.144500, batch loss=0.127928, epoch loss=0.389455
Batch=239, step=13440, lr=0.144250, batch loss=0.187394, epoch loss=0.576849
Batch=299, step=13500, lr=0.144000, batch loss=0.112715, epoch loss=0.689563
Batch=359, step=13560, lr=0.143500, batch loss=0.161050, epoch loss=0.850613
Batch=419, step=13620, lr=0.143500, batch loss=0.159536, epoch loss=1.010149
Batch=479, step=13680, lr=0.143250, batch loss=0.145303, epoch loss=1.155452
Batch=539, step=13740, lr=0.143000, batch loss=0.117115, epoch loss=1.272567
Batch=599, step=13800, lr=0.142750, batch loss=0.119561, epoch loss=1.392128
Batch=659, step=13860, lr=0.142500, batch loss=0.176290, epoch loss=1.568418
Batch=719, step=13920, lr=0.142250, batch loss=0.172707, epoch loss=1.741125
Batch=779, step=13980, lr=0.141750, batch loss=0.187010, epoch loss=1.928135
Batch=839, step=14040, lr=0.141750, batch loss=0.190774, epoch loss=2.118909
Batch=899, step=14100, lr=0.141500, batch loss=0.199862, epoch loss=2.318771
Batch=959, step=14160, lr=0.141250, batch loss=0.119797, epoch loss=2.438568
Batch=1019, step=14220, lr=0.141000, batch loss=0.201452, epoch loss=2.640020
Batch=1079, step=14280, lr=0.140750, batch loss=0.075796, epoch loss=2.715817
Batch=1139, step=14340, lr=0.140500, batch loss=0.121807, epoch loss=2.837624
Batch=1199, step=14400, lr=0.140250, batch loss=0.084764, epoch loss=2.922388
Epoch=11, step=14400, lr=0.140250, epoch loss=2.922388
Batch=59, step=14460, lr=0.140000, batch loss=0.108030, epoch loss=0.108030
Batch=119, step=14520, lr=0.139750, batch loss=0.103599, epoch loss=0.211629
Batch=179, step=14580, lr=0.139500, batch loss=0.099002, epoch loss=0.310631
Batch=239, step=14640, lr=0.139250, batch loss=0.142408, epoch loss=0.453040
Batch=299, step=14700, lr=0.139000, batch loss=0.073035, epoch loss=0.526075
Batch=359, step=14760, lr=0.138750, batch loss=0.122726, epoch loss=0.648801
Batch=419, step=14820, lr=0.138500, batch loss=0.135413, epoch loss=0.784214
Batch=479, step=14880, lr=0.138250, batch loss=0.092948, epoch loss=0.877162
Batch=539, step=14940, lr=0.138000, batch loss=0.085510, epoch loss=0.962672
Batch=599, step=15000, lr=0.137750, batch loss=0.085563, epoch loss=1.048235
Batch=659, step=15060, lr=0.137500, batch loss=0.140075, epoch loss=1.188310
Batch=719, step=15120, lr=0.137250, batch loss=0.172885, epoch loss=1.361194
Batch=779, step=15180, lr=0.137000, batch loss=0.348999, epoch loss=1.710193
Batch=839, step=15240, lr=0.136500, batch loss=0.133061, epoch loss=1.843254
Batch=899, step=15300, lr=0.136500, batch loss=0.114068, epoch loss=1.957323
Batch=959, step=15360, lr=0.136250, batch loss=0.096722, epoch loss=2.054045
Batch=1019, step=15420, lr=0.136000, batch loss=0.168248, epoch loss=2.222293
Batch=1079, step=15480, lr=0.135500, batch loss=0.037735, epoch loss=2.260028
Batch=1139, step=15540, lr=0.135500, batch loss=0.087663, epoch loss=2.347691
Batch=1199, step=15600, lr=0.135250, batch loss=0.056237, epoch loss=2.403929
Epoch=12, step=15600, lr=0.135250, epoch loss=2.403929
Batch=59, step=15660, lr=0.134750, batch loss=0.082339, epoch loss=0.082339
Batch=119, step=15720, lr=0.134750, batch loss=0.126087, epoch loss=0.208426
Batch=179, step=15780, lr=0.134500, batch loss=0.095184, epoch loss=0.303610
Batch=239, step=15840, lr=0.134250, batch loss=0.095787, epoch loss=0.399396
Batch=299, step=15900, lr=0.134000, batch loss=0.039169, epoch loss=0.438566
Batch=359, step=15960, lr=0.133750, batch loss=0.083297, epoch loss=0.521863
Batch=419, step=16020, lr=0.133250, batch loss=0.078691, epoch loss=0.600554
Batch=479, step=16080, lr=0.133250, batch loss=0.054573, epoch loss=0.655127
Batch=539, step=16140, lr=0.133000, batch loss=0.076570, epoch loss=0.731696
Batch=599, step=16200, lr=0.132750, batch loss=0.174699, epoch loss=0.906396
Batch=659, step=16260, lr=0.132500, batch loss=0.096322, epoch loss=1.002718
Batch=719, step=16320, lr=0.132250, batch loss=0.124230, epoch loss=1.126948
Batch=779, step=16380, lr=0.131750, batch loss=0.285667, epoch loss=1.412614
Batch=839, step=16440, lr=0.131750, batch loss=0.093069, epoch loss=1.505683
Batch=899, step=16500, lr=0.131500, batch loss=0.080956, epoch loss=1.586639
Batch=959, step=16560, lr=0.131250, batch loss=0.031501, epoch loss=1.618140
Batch=1019, step=16620, lr=0.131000, batch loss=0.061698, epoch loss=1.679838
Batch=1079, step=16680, lr=0.130500, batch loss=0.058489, epoch loss=1.738327
Batch=1139, step=16740, lr=0.130500, batch loss=0.104005, epoch loss=1.842332
Batch=1199, step=16800, lr=0.130000, batch loss=0.050055, epoch loss=1.892388
Epoch=13, step=16800, lr=0.130000, epoch loss=1.892388
Batch=59, step=16860, lr=0.130000, batch loss=0.035345, epoch loss=0.035345
Batch=119, step=16920, lr=0.129750, batch loss=0.035217, epoch loss=0.070562
Batch=179, step=16980, lr=0.129250, batch loss=0.044185, epoch loss=0.114747
Batch=239, step=17040, lr=0.129250, batch loss=0.059259, epoch loss=0.174006
Batch=299, step=17100, lr=0.128750, batch loss=0.018693, epoch loss=0.192699
Batch=359, step=17160, lr=0.128750, batch loss=0.042567, epoch loss=0.235267
Batch=419, step=17220, lr=0.128500, batch loss=0.044381, epoch loss=0.279647
Batch=479, step=17280, lr=0.128250, batch loss=0.023641, epoch loss=0.303288
Batch=539, step=17340, lr=0.127750, batch loss=0.028686, epoch loss=0.331974
Batch=599, step=17400, lr=0.127750, batch loss=0.034436, epoch loss=0.366411
Batch=659, step=17460, lr=0.127250, batch loss=0.045902, epoch loss=0.412313
Batch=719, step=17520, lr=0.127000, batch loss=0.044549, epoch loss=0.456862
Batch=779, step=17580, lr=0.127000, batch loss=0.088882, epoch loss=0.545744
Batch=839, step=17640, lr=0.126750, batch loss=0.227508, epoch loss=0.773252
Batch=899, step=17700, lr=0.126500, batch loss=0.052333, epoch loss=0.825585
Batch=959, step=17760, lr=0.126250, batch loss=0.024002, epoch loss=0.849587
Batch=1019, step=17820, lr=0.126000, batch loss=0.044181, epoch loss=0.893768
Batch=1079, step=17880, lr=0.125750, batch loss=0.022075, epoch loss=0.915842
Batch=1139, step=17940, lr=0.125500, batch loss=0.049667, epoch loss=0.965509
Batch=1199, step=18000, lr=0.125250, batch loss=0.021920, epoch loss=0.987429
Epoch=14, step=18000, lr=0.125250, epoch loss=0.987429
Batch=59, step=18060, lr=0.124750, batch loss=0.013150, epoch loss=0.013150
Batch=119, step=18120, lr=0.124750, batch loss=0.019447, epoch loss=0.032597
Batch=179, step=18180, lr=0.124500, batch loss=0.029046, epoch loss=0.061643
Batch=239, step=18240, lr=0.124250, batch loss=0.035642, epoch loss=0.097285
Batch=299, step=18300, lr=0.123750, batch loss=0.011460, epoch loss=0.108744
Batch=359, step=18360, lr=0.123750, batch loss=0.023849, epoch loss=0.132593
Batch=419, step=18420, lr=0.123500, batch loss=0.027124, epoch loss=0.159717
Batch=479, step=18480, lr=0.123250, batch loss=0.013468, epoch loss=0.173185
Batch=539, step=18540, lr=0.123000, batch loss=0.020391, epoch loss=0.193576
Batch=599, step=18600, lr=0.122750, batch loss=0.027076, epoch loss=0.220652
Batch=659, step=18660, lr=0.122500, batch loss=0.025217, epoch loss=0.245869
Batch=719, step=18720, lr=0.122250, batch loss=0.025141, epoch loss=0.271010
Batch=779, step=18780, lr=0.121750, batch loss=0.034345, epoch loss=0.305355
Batch=839, step=18840, lr=0.121750, batch loss=0.039496, epoch loss=0.344851
Batch=899, step=18900, lr=0.121500, batch loss=0.035804, epoch loss=0.380655
Batch=959, step=18960, lr=0.121000, batch loss=0.031739, epoch loss=0.412394
Batch=1019, step=19020, lr=0.120750, batch loss=0.059700, epoch loss=0.472094
Batch=1079, step=19080, lr=0.120750, batch loss=0.014996, epoch loss=0.487089
Batch=1139, step=19140, lr=0.120500, batch loss=0.023402, epoch loss=0.510491
Batch=1199, step=19200, lr=0.120250, batch loss=0.009664, epoch loss=0.520156
Epoch=15, step=19200, lr=0.120250, epoch loss=0.520156
Batch=59, step=19260, lr=0.120000, batch loss=0.005581, epoch loss=0.005581
Batch=119, step=19320, lr=0.119750, batch loss=0.021521, epoch loss=0.027102
Batch=179, step=19380, lr=0.119500, batch loss=0.061347, epoch loss=0.088449
Batch=239, step=19440, lr=0.119250, batch loss=0.025204, epoch loss=0.113652
Batch=299, step=19500, lr=0.118750, batch loss=0.018485, epoch loss=0.132137
Batch=359, step=19560, lr=0.118750, batch loss=0.034220, epoch loss=0.166357
Batch=419, step=19620, lr=0.118500, batch loss=0.021017, epoch loss=0.187374
Batch=479, step=19680, lr=0.118250, batch loss=0.007131, epoch loss=0.194505
Batch=539, step=19740, lr=0.118000, batch loss=0.025852, epoch loss=0.220357
Batch=599, step=19800, lr=0.117500, batch loss=0.029571, epoch loss=0.249927
Batch=659, step=19860, lr=0.117500, batch loss=0.018163, epoch loss=0.268090
Batch=719, step=19920, lr=0.117250, batch loss=0.038797, epoch loss=0.306887
Batch=779, step=19980, lr=0.117000, batch loss=0.082359, epoch loss=0.389246
Batch=839, step=20040, lr=0.116750, batch loss=0.031024, epoch loss=0.420270
Batch=899, step=20100, lr=0.116500, batch loss=0.034939, epoch loss=0.455209
Batch=959, step=20160, lr=0.116250, batch loss=0.011383, epoch loss=0.466592
Batch=1019, step=20220, lr=0.116000, batch loss=0.013842, epoch loss=0.480434
Batch=1079, step=20280, lr=0.115750, batch loss=0.003251, epoch loss=0.483685
Batch=1139, step=20340, lr=0.115500, batch loss=0.017365, epoch loss=0.501050
Batch=1199, step=20400, lr=0.115250, batch loss=0.007358, epoch loss=0.508408
Epoch=16, step=20400, lr=0.115250, epoch loss=0.508408
Batch=59, step=20460, lr=0.115000, batch loss=0.003329, epoch loss=0.003329
Batch=119, step=20520, lr=0.114750, batch loss=0.008945, epoch loss=0.012274
Batch=179, step=20580, lr=0.114500, batch loss=0.020939, epoch loss=0.033212
Batch=239, step=20640, lr=0.114250, batch loss=0.019914, epoch loss=0.053127
Batch=299, step=20700, lr=0.114000, batch loss=0.010834, epoch loss=0.063961
Batch=359, step=20760, lr=0.113750, batch loss=0.015051, epoch loss=0.079011
Batch=419, step=20820, lr=0.113500, batch loss=0.015388, epoch loss=0.094399
Batch=479, step=20880, lr=0.113250, batch loss=0.003883, epoch loss=0.098282
Batch=539, step=20940, lr=0.113000, batch loss=0.015966, epoch loss=0.114248
Batch=599, step=21000, lr=0.112750, batch loss=0.018412, epoch loss=0.132661
Batch=659, step=21060, lr=0.112500, batch loss=0.013666, epoch loss=0.146327
Batch=719, step=21120, lr=0.112250, batch loss=0.029361, epoch loss=0.175688
Batch=779, step=21180, lr=0.112000, batch loss=0.046567, epoch loss=0.222255
Batch=839, step=21240, lr=0.111750, batch loss=0.028993, epoch loss=0.251249
Batch=899, step=21300, lr=0.111500, batch loss=0.034567, epoch loss=0.285815
Batch=959, step=21360, lr=0.111250, batch loss=0.010482, epoch loss=0.296297
Batch=1019, step=21420, lr=0.111000, batch loss=0.013297, epoch loss=0.309594
Batch=1079, step=21480, lr=0.110750, batch loss=0.002180, epoch loss=0.311774
Batch=1139, step=21540, lr=0.110500, batch loss=0.012028, epoch loss=0.323802
Batch=1199, step=21600, lr=0.110250, batch loss=0.004665, epoch loss=0.328467
Epoch=17, step=21600, lr=0.110250, epoch loss=0.328467
Batch=59, step=21660, lr=0.110000, batch loss=0.002139, epoch loss=0.002139
Batch=119, step=21720, lr=0.109750, batch loss=0.007240, epoch loss=0.009379
Batch=179, step=21780, lr=0.109500, batch loss=0.012184, epoch loss=0.021563
Batch=239, step=21840, lr=0.109250, batch loss=0.010184, epoch loss=0.031747
Batch=299, step=21900, lr=0.109000, batch loss=0.002420, epoch loss=0.034167
Batch=359, step=21960, lr=0.108750, batch loss=0.011895, epoch loss=0.046062
Batch=419, step=22020, lr=0.108500, batch loss=0.012814, epoch loss=0.058876
Batch=479, step=22080, lr=0.108250, batch loss=0.003380, epoch loss=0.062256
Batch=539, step=22140, lr=0.108000, batch loss=0.017275, epoch loss=0.079530
Batch=599, step=22200, lr=0.107750, batch loss=0.015567, epoch loss=0.095097
Batch=659, step=22260, lr=0.107500, batch loss=0.011792, epoch loss=0.106889
Batch=719, step=22320, lr=0.107250, batch loss=0.018489, epoch loss=0.125378
Batch=779, step=22380, lr=0.107000, batch loss=0.022725, epoch loss=0.148103
Batch=839, step=22440, lr=0.106750, batch loss=0.025321, epoch loss=0.173424
Batch=899, step=22500, lr=0.106500, batch loss=0.028697, epoch loss=0.202121
Batch=959, step=22560, lr=0.106250, batch loss=0.008971, epoch loss=0.211092
Batch=1019, step=22620, lr=0.106000, batch loss=0.009134, epoch loss=0.220226
Batch=1079, step=22680, lr=0.105750, batch loss=0.001868, epoch loss=0.222094
Batch=1139, step=22740, lr=0.105500, batch loss=0.010644, epoch loss=0.232739
Batch=1199, step=22800, lr=0.105250, batch loss=0.005081, epoch loss=0.237819
Epoch=18, step=22800, lr=0.105250, epoch loss=0.237819
Batch=59, step=22860, lr=0.105000, batch loss=0.002466, epoch loss=0.002466
Batch=119, step=22920, lr=0.104750, batch loss=0.004713, epoch loss=0.007179
Batch=179, step=22980, lr=0.104500, batch loss=0.012499, epoch loss=0.019678
Batch=239, step=23040, lr=0.104250, batch loss=0.010632, epoch loss=0.030310
Batch=299, step=23100, lr=0.104000, batch loss=0.000932, epoch loss=0.031242
Batch=359, step=23160, lr=0.103750, batch loss=0.011028, epoch loss=0.042270
Batch=419, step=23220, lr=0.103500, batch loss=0.009533, epoch loss=0.051802
Batch=479, step=23280, lr=0.103250, batch loss=0.002042, epoch loss=0.053844
Batch=539, step=23340, lr=0.103000, batch loss=0.016641, epoch loss=0.070486
Batch=599, step=23400, lr=0.102750, batch loss=0.015351, epoch loss=0.085837
Batch=659, step=23460, lr=0.102500, batch loss=0.011298, epoch loss=0.097136
Batch=719, step=23520, lr=0.102250, batch loss=0.014661, epoch loss=0.111797
Batch=779, step=23580, lr=0.102000, batch loss=0.023206, epoch loss=0.135003
Batch=839, step=23640, lr=0.101750, batch loss=0.024362, epoch loss=0.159365
Batch=899, step=23700, lr=0.101500, batch loss=0.023149, epoch loss=0.182514
Batch=959, step=23760, lr=0.101250, batch loss=0.008156, epoch loss=0.190670
Batch=1019, step=23820, lr=0.101000, batch loss=0.007632, epoch loss=0.198303
Batch=1079, step=23880, lr=0.100750, batch loss=0.000792, epoch loss=0.199094
Batch=1139, step=23940, lr=0.100500, batch loss=0.008698, epoch loss=0.207792
Batch=1199, step=24000, lr=0.100250, batch loss=0.004379, epoch loss=0.212171
Epoch=19, step=24000, lr=0.100250, epoch loss=0.212171


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############**************************************...│
│********######*####*********************************###*###*#*********************************......│
│*******######**##*************....*****************#*######*#*******************************........│
│*******##*##**##**********...........***************########*##***************************..........│
│*****#######************.......%...%%...***************#########*************************.........%.│
│******######**********..........%.........**************##*#####***********************.......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######*********************.......%.%%%%.│
│****#######**********..........%%%%.........************#########********************........%%.%%.%│
│**#######************..........%%%%%%%........*************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########****************...........%%%%%%.│
│*#######************...........%%%%%%%...........***********#######**************............%%%%%%.│
│*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│
│*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%..............********#######*********..............%%%%.%%..│
│#####*#**********...............%%%%%%%...............*******#######********...............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│
│#######*********.................%%%%%%%%................****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###******................%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######***..................%%%%%%.....│
│#****##********....................%%%%%%%%%.................**###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│*************........................%..%%%%%%%.................***...............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%.................*................%%%%%%%.%.%.......│
│************............................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-05-15 13:59.32: Job failed: Failed: Build failed