alpine-3.21-5.3_opam-2.3

2025-05-20 19:21.42: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (330b95092469114814c49ce51971f33e31a97e23) (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 330b9509
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


2025-05-20 19:21.42: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-20 19:21.42: 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"))
)


2025-05-20 19:21.42: Waiting for resource in pool OCluster
2025-05-20 19:21.42: Waiting for worker…
2025-05-20 19:28.13: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 330b9509 Logging: fixes on the Linux side cuda logging on Windows still broken because of stdout capture issue.


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-20 19:28.13 ---> using "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962" from cache


/: (comment alpine-3.21-5.3_opam-2.3)


/: (user (uid 1000) (gid 1000))


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-20 19:28.13 ---> using "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f" from cache


/src: (run (shell "opam init --reinit -ni"))
Configuring from /home/opam/.opamrc and then from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.


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.


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
2025-05-20 19:28.13 ---> using "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-20 19:28.13 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-20 19:28.13 ---> using "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 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..f8fd9069a4  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)
2025-05-20 19:28.13 ---> using "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-20 19:28.13 ---> using "3447341e45978511d37496412d8cf0bd00152169666b38173df912c353af7377" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-20 19:28.13 ---> using "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-20 19:28.13 ---> using "032adceba002b196443012a023eeef306584e0583f4bdf0e11c942b3c2d8c555" from cache


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apk" "update"
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
- v3.21.3-506-gaa59717f6c9 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-508-ge5616f65dfd [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8647-g4f9494a5af7 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8650-g22908c831e5 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8643-ga50bbf48381 [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58259 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
2025-05-20 19:28.13 ---> using "82f4d363aec3a0953aa85de2f732fa1af9e4b084c77f4dc79755c8c94150aee7" from cache


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved 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 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_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (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 sexplib0.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> installed seq.base
-> retrieved sexplib.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 mtime.2.1.0
-> installed uutf.1.0.4
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed printbox.0.12
-> 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 parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> 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 ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> 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_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-20 19:28.13 ---> using "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" from cache


/src: (copy (src .) (dst /src))
2025-05-20 19:28.14 ---> saved as "c4064ca72aa9685807e7f60a458e7d16a091541627c967733e33d1dbb781183a"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test/config && ../../arrayjit/bin/read_config.exe --read=backend)


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2958f79c83813d5007627c1116e3a503/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/487989e0dc3074b679de8fd8f9afc0f0/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/487989e0dc3074b679de8fd8f9afc0f0/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found multicore_cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Not found, using default false
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193250, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193000, batch loss=0.276246, epoch loss=2.211809
Batch=539, step=1740, lr=0.192750, batch loss=0.209840, epoch loss=2.421649
Batch=599, step=1800, lr=0.192500, batch loss=0.250333, epoch loss=2.671982
Batch=659, step=1860, lr=0.192250, batch loss=0.367192, epoch loss=3.039174
Batch=719, step=1920, lr=0.192000, batch loss=0.354878, epoch loss=3.394051
Batch=779, step=1980, lr=0.192000, batch loss=0.381378, epoch loss=3.775430
Batch=839, step=2040, lr=0.191500, batch loss=0.339649, epoch loss=4.115079
Batch=899, step=2100, lr=0.191500, batch loss=0.295236, epoch loss=4.410315
Batch=959, step=2160, lr=0.191000, batch loss=0.214047, epoch loss=4.624362
Batch=1019, step=2220, lr=0.190750, batch loss=0.330856, epoch loss=4.955218
Batch=1079, step=2280, lr=0.190500, batch loss=0.208148, epoch loss=5.163367
Batch=1139, step=2340, lr=0.190250, batch loss=0.278209, epoch loss=5.441576
Batch=1199, step=2400, lr=0.190000, batch loss=0.220791, epoch loss=5.662367
Epoch=1, step=2400, lr=0.190000, epoch loss=5.662367
Batch=59, step=2460, lr=0.189750, batch loss=0.230389, epoch loss=0.230389
Batch=119, step=2520, lr=0.189500, batch loss=0.195915, epoch loss=0.426304
Batch=179, step=2580, lr=0.189250, batch loss=0.221168, epoch loss=0.647472
Batch=239, step=2640, lr=0.189250, batch loss=0.328114, epoch loss=0.975586
Batch=299, step=2700, lr=0.188750, batch loss=0.202946, epoch loss=1.178532
Batch=359, step=2760, lr=0.188750, batch loss=0.288273, epoch loss=1.466804
Batch=419, step=2820, lr=0.188250, batch loss=0.280178, epoch loss=1.746982
Batch=479, step=2880, lr=0.188000, batch loss=0.251486, epoch loss=1.998468
Batch=539, step=2940, lr=0.187750, batch loss=0.191293, epoch loss=2.189761
Batch=599, step=3000, lr=0.187500, batch loss=0.224947, epoch loss=2.414708
Batch=659, step=3060, lr=0.187500, batch loss=0.335798, epoch loss=2.750506
Batch=719, step=3120, lr=0.187000, batch loss=0.331401, epoch loss=3.081908
Batch=779, step=3180, lr=0.186750, batch loss=0.357934, epoch loss=3.439842
Batch=839, step=3240, lr=0.186500, batch loss=0.325593, epoch loss=3.765435
Batch=899, step=3300, lr=0.186500, batch loss=0.292390, epoch loss=4.057825
Batch=959, step=3360, lr=0.186250, batch loss=0.244947, epoch loss=4.302773
Batch=1019, step=3420, lr=0.186000, batch loss=0.361935, epoch loss=4.664708
Batch=1079, step=3480, lr=0.185750, batch loss=0.222017, epoch loss=4.886725
Batch=1139, step=3540, lr=0.185500, batch loss=0.264076, epoch loss=5.150801
Batch=1199, step=3600, lr=0.185000, batch loss=0.199956, epoch loss=5.350757
Epoch=2, step=3600, lr=0.185000, epoch loss=5.350757
Batch=59, step=3660, lr=0.185000, batch loss=0.221240, epoch loss=0.221240
Batch=119, step=3720, lr=0.184750, batch loss=0.184964, epoch loss=0.406204
Batch=179, step=3780, lr=0.184500, batch loss=0.211403, epoch loss=0.617608
Batch=239, step=3840, lr=0.184250, batch loss=0.316987, epoch loss=0.934595
Batch=299, step=3900, lr=0.184000, batch loss=0.209212, epoch loss=1.143807
Batch=359, step=3960, lr=0.183750, batch loss=0.285673, epoch loss=1.429480
Batch=419, step=4020, lr=0.183500, batch loss=0.278254, epoch loss=1.707734
Batch=479, step=4080, lr=0.183000, batch loss=0.254985, epoch loss=1.962719
Batch=539, step=4140, lr=0.183000, batch loss=0.199888, epoch loss=2.162607
Batch=599, step=4200, lr=0.182750, batch loss=0.242737, epoch loss=2.405344
Batch=659, step=4260, lr=0.182500, batch loss=0.327725, epoch loss=2.733069
Batch=719, step=4320, lr=0.182250, batch loss=0.330927, epoch loss=3.063996
Batch=779, step=4380, lr=0.182000, batch loss=0.349698, epoch loss=3.413695
Batch=839, step=4440, lr=0.181750, batch loss=0.317907, epoch loss=3.731601
Batch=899, step=4500, lr=0.181500, batch loss=0.285701, epoch loss=4.017302
Batch=959, step=4560, lr=0.181250, batch loss=0.239780, epoch loss=4.257082
Batch=1019, step=4620, lr=0.181000, batch loss=0.332846, epoch loss=4.589928
Batch=1079, step=4680, lr=0.180750, batch loss=0.195871, epoch loss=4.785799
Batch=1139, step=4740, lr=0.180500, batch loss=0.229021, epoch loss=5.014820
Batch=1199, step=4800, lr=0.180250, batch loss=0.193307, epoch loss=5.208127
Epoch=3, step=4800, lr=0.180250, epoch loss=5.208127
Batch=59, step=4860, lr=0.180000, batch loss=0.234143, epoch loss=0.234143
Batch=119, step=4920, lr=0.179750, batch loss=0.192062, epoch loss=0.426205
Batch=179, step=4980, lr=0.179500, batch loss=0.205742, epoch loss=0.631947
Batch=239, step=5040, lr=0.179250, batch loss=0.307537, epoch loss=0.939484
Batch=299, step=5100, lr=0.179000, batch loss=0.206002, epoch loss=1.145486
Batch=359, step=5160, lr=0.178750, batch loss=0.270811, epoch loss=1.416297
Batch=419, step=5220, lr=0.178500, batch loss=0.265487, epoch loss=1.681784
Batch=479, step=5280, lr=0.178250, batch loss=0.241991, epoch loss=1.923775
Batch=539, step=5340, lr=0.178000, batch loss=0.195181, epoch loss=2.118956
Batch=599, step=5400, lr=0.177750, batch loss=0.243514, epoch loss=2.362470
Batch=659, step=5460, lr=0.177500, batch loss=0.317074, epoch loss=2.679544
Batch=719, step=5520, lr=0.177250, batch loss=0.317803, epoch loss=2.997347
Batch=779, step=5580, lr=0.177000, batch loss=0.343138, epoch loss=3.340485
Batch=839, step=5640, lr=0.176750, batch loss=0.308256, epoch loss=3.648741
Batch=899, step=5700, lr=0.176500, batch loss=0.273835, epoch loss=3.922575
Batch=959, step=5760, lr=0.176250, batch loss=0.210746, epoch loss=4.133321
Batch=1019, step=5820, lr=0.176000, batch loss=0.338760, epoch loss=4.472082
Batch=1079, step=5880, lr=0.175750, batch loss=0.201241, epoch loss=4.673323
Batch=1139, step=5940, lr=0.175500, batch loss=0.243019, epoch loss=4.916342
Batch=1199, step=6000, lr=0.175250, batch loss=0.185402, epoch loss=5.101744
Epoch=4, step=6000, lr=0.175250, epoch loss=5.101744
Batch=59, step=6060, lr=0.175000, batch loss=0.226382, epoch loss=0.226382
Batch=119, step=6120, lr=0.174750, batch loss=0.184062, epoch loss=0.410444
Batch=179, step=6180, lr=0.174500, batch loss=0.201421, epoch loss=0.611865
Batch=239, step=6240, lr=0.174250, batch loss=0.301287, epoch loss=0.913152
Batch=299, step=6300, lr=0.174000, batch loss=0.205745, epoch loss=1.118897
Batch=359, step=6360, lr=0.173750, batch loss=0.264935, epoch loss=1.383831
Batch=419, step=6420, lr=0.173500, batch loss=0.261339, epoch loss=1.645171
Batch=479, step=6480, lr=0.173250, batch loss=0.241174, epoch loss=1.886344
Batch=539, step=6540, lr=0.173000, batch loss=0.196303, epoch loss=2.082647
Batch=599, step=6600, lr=0.172750, batch loss=0.232353, epoch loss=2.315000
Batch=659, step=6660, lr=0.172500, batch loss=0.313616, epoch loss=2.628616
Batch=719, step=6720, lr=0.172250, batch loss=0.316715, epoch loss=2.945331
Batch=779, step=6780, lr=0.172000, batch loss=0.330926, epoch loss=3.276257
Batch=839, step=6840, lr=0.171750, batch loss=0.306301, epoch loss=3.582559
Batch=899, step=6900, lr=0.171500, batch loss=0.268609, epoch loss=3.851168
Batch=959, step=6960, lr=0.171250, batch loss=0.207580, epoch loss=4.058748
Batch=1019, step=7020, lr=0.171000, batch loss=0.331511, epoch loss=4.390258
Batch=1079, step=7080, lr=0.170750, batch loss=0.180560, epoch loss=4.570818
Batch=1139, step=7140, lr=0.170500, batch loss=0.216885, epoch loss=4.787703
Batch=1199, step=7200, lr=0.170250, batch loss=0.182313, epoch loss=4.970016
Epoch=5, step=7200, lr=0.170250, epoch loss=4.970016
Batch=59, step=7260, lr=0.170000, batch loss=0.240074, epoch loss=0.240074
Batch=119, step=7320, lr=0.169750, batch loss=0.179785, epoch loss=0.419859
Batch=179, step=7380, lr=0.169500, batch loss=0.195264, epoch loss=0.615123
Batch=239, step=7440, lr=0.169250, batch loss=0.292269, epoch loss=0.907393
Batch=299, step=7500, lr=0.169000, batch loss=0.207940, epoch loss=1.115333
Batch=359, step=7560, lr=0.168750, batch loss=0.261221, epoch loss=1.376554
Batch=419, step=7620, lr=0.168500, batch loss=0.253897, epoch loss=1.630451
Batch=479, step=7680, lr=0.168250, batch loss=0.232152, epoch loss=1.862603
Batch=539, step=7740, lr=0.168000, batch loss=0.185296, epoch loss=2.047899
Batch=599, step=7800, lr=0.167750, batch loss=0.227439, epoch loss=2.275338
Batch=659, step=7860, lr=0.167500, batch loss=0.304137, epoch loss=2.579475
Batch=719, step=7920, lr=0.167250, batch loss=0.308473, epoch loss=2.887947
Batch=779, step=7980, lr=0.167000, batch loss=0.320359, epoch loss=3.208306
Batch=839, step=8040, lr=0.166750, batch loss=0.296739, epoch loss=3.505045
Batch=899, step=8100, lr=0.166500, batch loss=0.258448, epoch loss=3.763493
Batch=959, step=8160, lr=0.166250, batch loss=0.209851, epoch loss=3.973344
Batch=1019, step=8220, lr=0.166000, batch loss=0.313837, epoch loss=4.287181
Batch=1079, step=8280, lr=0.165750, batch loss=0.174771, epoch loss=4.461952
Batch=1139, step=8340, lr=0.165500, batch loss=0.209490, epoch loss=4.671442
Batch=1199, step=8400, lr=0.165250, batch loss=0.178082, epoch loss=4.849525
Epoch=6, step=8400, lr=0.165250, epoch loss=4.849525
Batch=59, step=8460, lr=0.165000, batch loss=0.228968, epoch loss=0.228968
Batch=119, step=8520, lr=0.164750, batch loss=0.174799, epoch loss=0.403767
Batch=179, step=8580, lr=0.164500, batch loss=0.187584, epoch loss=0.591351
Batch=239, step=8640, lr=0.164250, batch loss=0.277892, epoch loss=0.869243
Batch=299, step=8700, lr=0.164000, batch loss=0.191123, epoch loss=1.060366
Batch=359, step=8760, lr=0.163750, batch loss=0.248235, epoch loss=1.308601
Batch=419, step=8820, lr=0.163500, batch loss=0.244549, epoch loss=1.553150
Batch=479, step=8880, lr=0.163250, batch loss=0.228343, epoch loss=1.781493
Batch=539, step=8940, lr=0.163000, batch loss=0.177446, epoch loss=1.958939
Batch=599, step=9000, lr=0.162750, batch loss=0.217852, epoch loss=2.176791
Batch=659, step=9060, lr=0.162500, batch loss=0.294018, epoch loss=2.470809
Batch=719, step=9120, lr=0.162250, batch loss=0.296040, epoch loss=2.766849
Batch=779, step=9180, lr=0.162000, batch loss=0.315232, epoch loss=3.082081
Batch=839, step=9240, lr=0.161750, batch loss=0.280865, epoch loss=3.362947
Batch=899, step=9300, lr=0.161500, batch loss=0.251778, epoch loss=3.614724
Batch=959, step=9360, lr=0.161250, batch loss=0.188439, epoch loss=3.803164
Batch=1019, step=9420, lr=0.161000, batch loss=0.316607, epoch loss=4.119771
Batch=1079, step=9480, lr=0.160750, batch loss=0.186218, epoch loss=4.305989
Batch=1139, step=9540, lr=0.160500, batch loss=0.211998, epoch loss=4.517986
Batch=1199, step=9600, lr=0.160250, batch loss=0.167159, epoch loss=4.685145
Epoch=7, step=9600, lr=0.160250, epoch loss=4.685145
Batch=59, step=9660, lr=0.160000, batch loss=0.198501, epoch loss=0.198501
Batch=119, step=9720, lr=0.159750, batch loss=0.163885, epoch loss=0.362386
Batch=179, step=9780, lr=0.159500, batch loss=0.178713, epoch loss=0.541099
Batch=239, step=9840, lr=0.159250, batch loss=0.259553, epoch loss=0.800652
Batch=299, step=9900, lr=0.159000, batch loss=0.180183, epoch loss=0.980835
Batch=359, step=9960, lr=0.158750, batch loss=0.241266, epoch loss=1.222101
Batch=419, step=10020, lr=0.158500, batch loss=0.236931, epoch loss=1.459032
Batch=479, step=10080, lr=0.158250, batch loss=0.224528, epoch loss=1.683560
Batch=539, step=10140, lr=0.158000, batch loss=0.172522, epoch loss=1.856082
Batch=599, step=10200, lr=0.157750, batch loss=0.200577, epoch loss=2.056659
Batch=659, step=10260, lr=0.157500, batch loss=0.280739, epoch loss=2.337398
Batch=719, step=10320, lr=0.157250, batch loss=0.284407, epoch loss=2.621805
Batch=779, step=10380, lr=0.157000, batch loss=0.293779, epoch loss=2.915583
Batch=839, step=10440, lr=0.156750, batch loss=0.271091, epoch loss=3.186675
Batch=899, step=10500, lr=0.156500, batch loss=0.238153, epoch loss=3.424828
Batch=959, step=10560, lr=0.156250, batch loss=0.176066, epoch loss=3.600894
Batch=1019, step=10620, lr=0.156000, batch loss=0.294190, epoch loss=3.895083
Batch=1079, step=10680, lr=0.155750, batch loss=0.179511, epoch loss=4.074594
Batch=1139, step=10740, lr=0.155500, batch loss=0.198018, epoch loss=4.272613
Batch=1199, step=10800, lr=0.155250, batch loss=0.154900, epoch loss=4.427513
Epoch=8, step=10800, lr=0.155250, epoch loss=4.427513
Batch=59, step=10860, lr=0.155000, batch loss=0.178804, epoch loss=0.178804
Batch=119, step=10920, lr=0.154750, batch loss=0.151247, epoch loss=0.330051
Batch=179, step=10980, lr=0.154500, batch loss=0.166811, epoch loss=0.496861
Batch=239, step=11040, lr=0.154250, batch loss=0.244715, epoch loss=0.741576
Batch=299, step=11100, lr=0.154000, batch loss=0.164468, epoch loss=0.906044
Batch=359, step=11160, lr=0.153750, batch loss=0.223810, epoch loss=1.129854
Batch=419, step=11220, lr=0.153500, batch loss=0.227981, epoch loss=1.357835
Batch=479, step=11280, lr=0.153250, batch loss=0.202842, epoch loss=1.560677
Batch=539, step=11340, lr=0.153000, batch loss=0.159598, epoch loss=1.720275
Batch=599, step=11400, lr=0.152750, batch loss=0.184580, epoch loss=1.904855
Batch=659, step=11460, lr=0.152500, batch loss=0.262420, epoch loss=2.167275
Batch=719, step=11520, lr=0.152250, batch loss=0.257516, epoch loss=2.424792
Batch=779, step=11580, lr=0.152000, batch loss=0.271166, epoch loss=2.695957
Batch=839, step=11640, lr=0.151750, batch loss=0.256272, epoch loss=2.952229
Batch=899, step=11700, lr=0.151500, batch loss=0.217556, epoch loss=3.169785
Batch=959, step=11760, lr=0.151250, batch loss=0.174909, epoch loss=3.344694
Batch=1019, step=11820, lr=0.151000, batch loss=0.256743, epoch loss=3.601438
Batch=1079, step=11880, lr=0.150750, batch loss=0.132023, epoch loss=3.733461
Batch=1139, step=11940, lr=0.150500, batch loss=0.164410, epoch loss=3.897870
Batch=1199, step=12000, lr=0.150250, batch loss=0.139117, epoch loss=4.036988
Epoch=9, step=12000, lr=0.150250, epoch loss=4.036988
Batch=59, step=12060, lr=0.150000, batch loss=0.174087, epoch loss=0.174087
Batch=119, step=12120, lr=0.149750, batch loss=0.149235, epoch loss=0.323323
Batch=179, step=12180, lr=0.149500, batch loss=0.149446, epoch loss=0.472769
Batch=239, step=12240, lr=0.149250, batch loss=0.216278, epoch loss=0.689047
Batch=299, step=12300, lr=0.149000, batch loss=0.145418, epoch loss=0.834465
Batch=359, step=12360, lr=0.148750, batch loss=0.194002, epoch loss=1.028467
Batch=419, step=12420, lr=0.148500, batch loss=0.208129, epoch loss=1.236597
Batch=479, step=12480, lr=0.148250, batch loss=0.177065, epoch loss=1.413662
Batch=539, step=12540, lr=0.148000, batch loss=0.143540, epoch loss=1.557202
Batch=599, step=12600, lr=0.147750, batch loss=0.148857, epoch loss=1.706059
Batch=659, step=12660, lr=0.147500, batch loss=0.226158, epoch loss=1.932217
Batch=719, step=12720, lr=0.147250, batch loss=0.228462, epoch loss=2.160679
Batch=779, step=12780, lr=0.147000, batch loss=0.258111, epoch loss=2.418791
Batch=839, step=12840, lr=0.146750, batch loss=0.230883, epoch loss=2.649674
Batch=899, step=12900, lr=0.146500, batch loss=0.215562, epoch loss=2.865236
Batch=959, step=12960, lr=0.146250, batch loss=0.152111, epoch loss=3.017347
Batch=1019, step=13020, lr=0.146000, batch loss=0.261669, epoch loss=3.279016
Batch=1079, step=13080, lr=0.145750, batch loss=0.112325, epoch loss=3.391341
Batch=1139, step=13140, lr=0.145500, batch loss=0.156023, epoch loss=3.547364
Batch=1199, step=13200, lr=0.145250, batch loss=0.118595, epoch loss=3.665959
Epoch=10, step=13200, lr=0.145250, epoch loss=3.665959
Batch=59, step=13260, lr=0.145000, batch loss=0.141967, epoch loss=0.141967
Batch=119, step=13320, lr=0.144750, batch loss=0.119286, epoch loss=0.261253
Batch=179, step=13380, lr=0.144500, batch loss=0.128836, epoch loss=0.390089
Batch=239, step=13440, lr=0.144250, batch loss=0.195308, epoch loss=0.585397
Batch=299, step=13500, lr=0.144000, batch loss=0.130029, epoch loss=0.715426
Batch=359, step=13560, lr=0.143750, batch loss=0.158710, epoch loss=0.874136
Batch=419, step=13620, lr=0.143500, batch loss=0.159937, epoch loss=1.034073
Batch=479, step=13680, lr=0.143250, batch loss=0.144551, epoch loss=1.178623
Batch=539, step=13740, lr=0.143000, batch loss=0.119419, epoch loss=1.298042
Batch=599, step=13800, lr=0.142750, batch loss=0.119485, epoch loss=1.417527
Batch=659, step=13860, lr=0.142500, batch loss=0.176853, epoch loss=1.594380
Batch=719, step=13920, lr=0.142250, batch loss=0.175972, epoch loss=1.770351
Batch=779, step=13980, lr=0.142000, batch loss=0.198237, epoch loss=1.968588
Batch=839, step=14040, lr=0.141750, batch loss=0.196659, epoch loss=2.165248
Batch=899, step=14100, lr=0.141500, batch loss=0.213024, epoch loss=2.378272
Batch=959, step=14160, lr=0.141250, batch loss=0.108150, epoch loss=2.486422
Batch=1019, step=14220, lr=0.141000, batch loss=0.191453, epoch loss=2.677876
Batch=1079, step=14280, lr=0.140750, batch loss=0.080571, epoch loss=2.758446
Batch=1139, step=14340, lr=0.140500, batch loss=0.126479, epoch loss=2.884926
Batch=1199, step=14400, lr=0.140250, batch loss=0.086223, epoch loss=2.971149
Epoch=11, step=14400, lr=0.140250, epoch loss=2.971149
Batch=59, step=14460, lr=0.140000, batch loss=0.104206, epoch loss=0.104206
Batch=119, step=14520, lr=0.139750, batch loss=0.098541, epoch loss=0.202747
Batch=179, step=14580, lr=0.139500, batch loss=0.099668, epoch loss=0.302415
Batch=239, step=14640, lr=0.139250, batch loss=0.140977, epoch loss=0.443392
Batch=299, step=14700, lr=0.139000, batch loss=0.076264, epoch loss=0.519656
Batch=359, step=14760, lr=0.138750, batch loss=0.119935, epoch loss=0.639591
Batch=419, step=14820, lr=0.138500, batch loss=0.129394, epoch loss=0.768986
Batch=479, step=14880, lr=0.138250, batch loss=0.101663, epoch loss=0.870648
Batch=539, step=14940, lr=0.138000, batch loss=0.109303, epoch loss=0.979952
Batch=599, step=15000, lr=0.137750, batch loss=0.083787, epoch loss=1.063739
Batch=659, step=15060, lr=0.137500, batch loss=0.137812, epoch loss=1.201551
Batch=719, step=15120, lr=0.137250, batch loss=0.171690, epoch loss=1.373241
Batch=779, step=15180, lr=0.137000, batch loss=0.323966, epoch loss=1.697207
Batch=839, step=15240, lr=0.136750, batch loss=0.130299, epoch loss=1.827506
Batch=899, step=15300, lr=0.136500, batch loss=0.108365, epoch loss=1.935871
Batch=959, step=15360, lr=0.136250, batch loss=0.105745, epoch loss=2.041616
Batch=1019, step=15420, lr=0.136000, batch loss=0.174806, epoch loss=2.216422
Batch=1079, step=15480, lr=0.135750, batch loss=0.037284, epoch loss=2.253706
Batch=1139, step=15540, lr=0.135500, batch loss=0.085711, epoch loss=2.339417
Batch=1199, step=15600, lr=0.135250, batch loss=0.054956, epoch loss=2.394373
Epoch=12, step=15600, lr=0.135250, epoch loss=2.394373
Batch=59, step=15660, lr=0.135000, batch loss=0.081852, epoch loss=0.081852
Batch=119, step=15720, lr=0.134750, batch loss=0.127894, epoch loss=0.209746
Batch=179, step=15780, lr=0.134500, batch loss=0.094639, epoch loss=0.304386
Batch=239, step=15840, lr=0.134250, batch loss=0.095856, epoch loss=0.400241
Batch=299, step=15900, lr=0.134000, batch loss=0.040297, epoch loss=0.440538
Batch=359, step=15960, lr=0.133750, batch loss=0.083164, epoch loss=0.523702
Batch=419, step=16020, lr=0.133500, batch loss=0.081383, epoch loss=0.605086
Batch=479, step=16080, lr=0.133250, batch loss=0.065139, epoch loss=0.670224
Batch=539, step=16140, lr=0.133000, batch loss=0.059343, epoch loss=0.729568
Batch=599, step=16200, lr=0.132750, batch loss=0.123154, epoch loss=0.852722
Batch=659, step=16260, lr=0.132250, batch loss=0.086586, epoch loss=0.939308
Batch=719, step=16320, lr=0.132250, batch loss=0.136627, epoch loss=1.075935
Batch=779, step=16380, lr=0.132000, batch loss=0.347064, epoch loss=1.422999
Batch=839, step=16440, lr=0.131750, batch loss=0.098908, epoch loss=1.521907
Batch=899, step=16500, lr=0.131500, batch loss=0.089334, epoch loss=1.611241
Batch=959, step=16560, lr=0.131250, batch loss=0.034490, epoch loss=1.645731
Batch=1019, step=16620, lr=0.131000, batch loss=0.063407, epoch loss=1.709138
Batch=1079, step=16680, lr=0.130750, batch loss=0.055425, epoch loss=1.764564
Batch=1139, step=16740, lr=0.130500, batch loss=0.095158, epoch loss=1.859722
Batch=1199, step=16800, lr=0.130000, batch loss=0.046525, epoch loss=1.906247
Epoch=13, step=16800, lr=0.130000, epoch loss=1.906247
Batch=59, step=16860, lr=0.130000, batch loss=0.037986, epoch loss=0.037986
Batch=119, step=16920, lr=0.129750, batch loss=0.038411, epoch loss=0.076397
Batch=179, step=16980, lr=0.129500, batch loss=0.045614, epoch loss=0.122011
Batch=239, step=17040, lr=0.129250, batch loss=0.062939, epoch loss=0.184950
Batch=299, step=17100, lr=0.129000, batch loss=0.023881, epoch loss=0.208831
Batch=359, step=17160, lr=0.128750, batch loss=0.046639, epoch loss=0.255469
Batch=419, step=17220, lr=0.128500, batch loss=0.064136, epoch loss=0.319605
Batch=479, step=17280, lr=0.128250, batch loss=0.024138, epoch loss=0.343743
Batch=539, step=17340, lr=0.128000, batch loss=0.028218, epoch loss=0.371961
Batch=599, step=17400, lr=0.127750, batch loss=0.036819, epoch loss=0.408780
Batch=659, step=17460, lr=0.127500, batch loss=0.047094, epoch loss=0.455874
Batch=719, step=17520, lr=0.127250, batch loss=0.046023, epoch loss=0.501897
Batch=779, step=17580, lr=0.127000, batch loss=0.080822, epoch loss=0.582718
Batch=839, step=17640, lr=0.126750, batch loss=0.165307, epoch loss=0.748025
Batch=899, step=17700, lr=0.126500, batch loss=0.066540, epoch loss=0.814565
Batch=959, step=17760, lr=0.126250, batch loss=0.023625, epoch loss=0.838190
Batch=1019, step=17820, lr=0.126000, batch loss=0.036970, epoch loss=0.875159
Batch=1079, step=17880, lr=0.125750, batch loss=0.021910, epoch loss=0.897069
Batch=1139, step=17940, lr=0.125500, batch loss=0.048202, epoch loss=0.945271
Batch=1199, step=18000, lr=0.125250, batch loss=0.020710, epoch loss=0.965980
Epoch=14, step=18000, lr=0.125250, epoch loss=0.965980
Batch=59, step=18060, lr=0.125000, batch loss=0.012455, epoch loss=0.012455
Batch=119, step=18120, lr=0.124750, batch loss=0.018837, epoch loss=0.031292
Batch=179, step=18180, lr=0.124500, batch loss=0.029721, epoch loss=0.061014
Batch=239, step=18240, lr=0.124250, batch loss=0.039522, epoch loss=0.100535
Batch=299, step=18300, lr=0.124000, batch loss=0.017156, epoch loss=0.117691
Batch=359, step=18360, lr=0.123750, batch loss=0.024925, epoch loss=0.142616
Batch=419, step=18420, lr=0.123500, batch loss=0.033372, epoch loss=0.175988
Batch=479, step=18480, lr=0.123250, batch loss=0.027332, epoch loss=0.203320
Batch=539, step=18540, lr=0.123000, batch loss=0.054475, epoch loss=0.257795
Batch=599, step=18600, lr=0.122750, batch loss=0.028116, epoch loss=0.285912
Batch=659, step=18660, lr=0.122500, batch loss=0.034025, epoch loss=0.319937
Batch=719, step=18720, lr=0.122250, batch loss=0.051845, epoch loss=0.371782
Batch=779, step=18780, lr=0.122000, batch loss=0.113907, epoch loss=0.485689
Batch=839, step=18840, lr=0.121750, batch loss=0.050473, epoch loss=0.536163
Batch=899, step=18900, lr=0.121500, batch loss=0.050566, epoch loss=0.586729
Batch=959, step=18960, lr=0.121250, batch loss=0.013502, epoch loss=0.600230
Batch=1019, step=19020, lr=0.121000, batch loss=0.026654, epoch loss=0.626884
Batch=1079, step=19080, lr=0.120750, batch loss=0.009913, epoch loss=0.636797
Batch=1139, step=19140, lr=0.120500, batch loss=0.023072, epoch loss=0.659869
Batch=1199, step=19200, lr=0.120250, batch loss=0.010086, epoch loss=0.669954
Epoch=15, step=19200, lr=0.120250, epoch loss=0.669954
Batch=59, step=19260, lr=0.120000, batch loss=0.004927, epoch loss=0.004927
Batch=119, step=19320, lr=0.119750, batch loss=0.019436, epoch loss=0.024363
Batch=179, step=19380, lr=0.119500, batch loss=0.060468, epoch loss=0.084831
Batch=239, step=19440, lr=0.119250, batch loss=0.024740, epoch loss=0.109572
Batch=299, step=19500, lr=0.119000, batch loss=0.017445, epoch loss=0.127017
Batch=359, step=19560, lr=0.118750, batch loss=0.033940, epoch loss=0.160956
Batch=419, step=19620, lr=0.118500, batch loss=0.020669, epoch loss=0.181626
Batch=479, step=19680, lr=0.118250, batch loss=0.008357, epoch loss=0.189983
Batch=539, step=19740, lr=0.118000, batch loss=0.017579, epoch loss=0.207562
Batch=599, step=19800, lr=0.117750, batch loss=0.024239, epoch loss=0.231802
Batch=659, step=19860, lr=0.117500, batch loss=0.021391, epoch loss=0.253192
Batch=719, step=19920, lr=0.117250, batch loss=0.050163, epoch loss=0.303355
Batch=779, step=19980, lr=0.117000, batch loss=0.085634, epoch loss=0.388989
Batch=839, step=20040, lr=0.116750, batch loss=0.031485, epoch loss=0.420474
Batch=899, step=20100, lr=0.116500, batch loss=0.030982, epoch loss=0.451455
Batch=959, step=20160, lr=0.116250, batch loss=0.011389, epoch loss=0.462845
Batch=1019, step=20220, lr=0.116000, batch loss=0.012126, epoch loss=0.474971
Batch=1079, step=20280, lr=0.115750, batch loss=0.003783, epoch loss=0.478754
Batch=1139, step=20340, lr=0.115500, batch loss=0.016939, epoch loss=0.495693
Batch=1199, step=20400, lr=0.115250, batch loss=0.006549, epoch loss=0.502243
Epoch=16, step=20400, lr=0.115250, epoch loss=0.502243
Batch=59, step=20460, lr=0.114750, batch loss=0.003386, epoch loss=0.003386
Batch=119, step=20520, lr=0.114750, batch loss=0.008968, epoch loss=0.012354
Batch=179, step=20580, lr=0.114500, batch loss=0.015735, epoch loss=0.028089
Batch=239, step=20640, lr=0.114250, batch loss=0.013857, epoch loss=0.041946
Batch=299, step=20700, lr=0.114000, batch loss=0.004679, epoch loss=0.046626
Batch=359, step=20760, lr=0.113750, batch loss=0.013618, epoch loss=0.060244
Batch=419, step=20820, lr=0.113500, batch loss=0.015970, epoch loss=0.076214
Batch=479, step=20880, lr=0.113250, batch loss=0.003814, epoch loss=0.080028
Batch=539, step=20940, lr=0.113000, batch loss=0.017689, epoch loss=0.097717
Batch=599, step=21000, lr=0.112750, batch loss=0.020693, epoch loss=0.118410
Batch=659, step=21060, lr=0.112500, batch loss=0.017696, epoch loss=0.136106
Batch=719, step=21120, lr=0.112250, batch loss=0.050678, epoch loss=0.186784
Batch=779, step=21180, lr=0.112000, batch loss=0.065752, epoch loss=0.252535
Batch=839, step=21240, lr=0.111750, batch loss=0.024834, epoch loss=0.277369
Batch=899, step=21300, lr=0.111500, batch loss=0.027090, epoch loss=0.304460
Batch=959, step=21360, lr=0.111250, batch loss=0.010673, epoch loss=0.315133
Batch=1019, step=21420, lr=0.111000, batch loss=0.010482, epoch loss=0.325614
Batch=1079, step=21480, lr=0.110750, batch loss=0.001752, epoch loss=0.327366
Batch=1139, step=21540, lr=0.110500, batch loss=0.012423, epoch loss=0.339789
Batch=1199, step=21600, lr=0.110250, batch loss=0.004448, epoch loss=0.344237
Epoch=17, step=21600, lr=0.110250, epoch loss=0.344237
Batch=59, step=21660, lr=0.110000, batch loss=0.001869, epoch loss=0.001869
Batch=119, step=21720, lr=0.109750, batch loss=0.007725, epoch loss=0.009594
Batch=179, step=21780, lr=0.109500, batch loss=0.012335, epoch loss=0.021929
Batch=239, step=21840, lr=0.109250, batch loss=0.009153, epoch loss=0.031081
Batch=299, step=21900, lr=0.109000, batch loss=0.006774, epoch loss=0.037856
Batch=359, step=21960, lr=0.108500, batch loss=0.014597, epoch loss=0.052452
Batch=419, step=22020, lr=0.108500, batch loss=0.012290, epoch loss=0.064742
Batch=479, step=22080, lr=0.108250, batch loss=0.002995, epoch loss=0.067737
Batch=539, step=22140, lr=0.108000, batch loss=0.016811, epoch loss=0.084548
Batch=599, step=22200, lr=0.107750, batch loss=0.015755, epoch loss=0.100303
Batch=659, step=22260, lr=0.107500, batch loss=0.013176, epoch loss=0.113478
Batch=719, step=22320, lr=0.107250, batch loss=0.017099, epoch loss=0.130578
Batch=779, step=22380, lr=0.107000, batch loss=0.024746, epoch loss=0.155323
Batch=839, step=22440, lr=0.106750, batch loss=0.027376, epoch loss=0.182699
Batch=899, step=22500, lr=0.106500, batch loss=0.025419, epoch loss=0.208118
Batch=959, step=22560, lr=0.106250, batch loss=0.008963, epoch loss=0.217081
Batch=1019, step=22620, lr=0.106000, batch loss=0.009492, epoch loss=0.226573
Batch=1079, step=22680, lr=0.105750, batch loss=0.001657, epoch loss=0.228230
Batch=1139, step=22740, lr=0.105500, batch loss=0.011054, epoch loss=0.239284
Batch=1199, step=22800, lr=0.105250, batch loss=0.005005, epoch loss=0.244289
Epoch=18, step=22800, lr=0.105250, epoch loss=0.244289
Batch=59, step=22860, lr=0.105000, batch loss=0.002641, epoch loss=0.002641
Batch=119, step=22920, lr=0.104750, batch loss=0.005082, epoch loss=0.007723
Batch=179, step=22980, lr=0.104500, batch loss=0.012353, epoch loss=0.020076
Batch=239, step=23040, lr=0.104250, batch loss=0.008479, epoch loss=0.028555
Batch=299, step=23100, lr=0.104000, batch loss=0.003904, epoch loss=0.032459
Batch=359, step=23160, lr=0.103750, batch loss=0.012355, epoch loss=0.044814
Batch=419, step=23220, lr=0.103500, batch loss=0.010734, epoch loss=0.055547
Batch=479, step=23280, lr=0.103250, batch loss=0.003536, epoch loss=0.059083
Batch=539, step=23340, lr=0.103000, batch loss=0.015663, epoch loss=0.074747
Batch=599, step=23400, lr=0.102750, batch loss=0.013374, epoch loss=0.088121
Batch=659, step=23460, lr=0.102250, batch loss=0.012115, epoch loss=0.100236
Batch=719, step=23520, lr=0.102250, batch loss=0.018146, epoch loss=0.118382
Batch=779, step=23580, lr=0.102000, batch loss=0.019645, epoch loss=0.138026
Batch=839, step=23640, lr=0.101750, batch loss=0.025202, epoch loss=0.163228
Batch=899, step=23700, lr=0.101500, batch loss=0.021890, epoch loss=0.185117
Batch=959, step=23760, lr=0.101250, batch loss=0.008622, epoch loss=0.193740
Batch=1019, step=23820, lr=0.101000, batch loss=0.007916, epoch loss=0.201655
Batch=1079, step=23880, lr=0.100750, batch loss=0.001110, epoch loss=0.202765
Batch=1139, step=23940, lr=0.100500, batch loss=0.009023, epoch loss=0.211788
Batch=1199, step=24000, lr=0.100250, batch loss=0.004458, epoch loss=0.216247
Epoch=19, step=24000, lr=0.100250, epoch loss=0.216247


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
2025-05-20 19:28.52: Job failed: Failed: Build failed