alpine-3.21-5.3_opam-2.3

2025-05-19 16:39.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (33efa3b22f0833f85bad4a3f7df8cc8ab9e57b82) (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 33efa3b2
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


2025-05-19 16:39.10: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-19 16:39.10: 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"))
)


2025-05-19 16:39.10: Waiting for resource in pool OCluster
2025-05-19 16:39.10: Waiting for worker…
2025-05-19 16:39.35: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 33efa3b2 Prepare for release Remaining: CUDA regressions


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-19 16:39.38 ---> 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"))
2025-05-19 16:39.38 ---> 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
Format upgrade done.
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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-19 16:39.38 ---> 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
2025-05-19 16:39.38 ---> using "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-19 16:39.38 ---> 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..55711315d0  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)
2025-05-19 16:39.38 ---> using "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-19 16:39.38 ---> 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)
2025-05-19 16:39.38 ---> using "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-19 16:39.38 ---> 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
- v3.21.3-502-gbacfddd1b1c [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-502-gbacfddd1b1c [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8601-gd2967c12429 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8602-g9f899b0ce97 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8599-g2980f9d77eb [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58250 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)
[ERROR] System package install failed with exit code 1 at command:
sudo apk add libffi-dev
- ERROR: linux-headers-6.6-r1: temporary error (try again later)
- (2/2) Installing libffi-dev (3.4.7-r0)
- 1 error; 306 MiB in 103 packages
2025-05-19 16:39.38 ---> 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 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 dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed uutf.1.0.4
-> 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-syntax-shims.1.0.0
-> 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 cppo.1.8.0
-> installed re.1.12.0
-> 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 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 base.v0.17.2
-> installed printbox-ext-plot.0.12
-> 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_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_here.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_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)
2025-05-19 16:39.38 ---> using "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050" from cache


/src: (copy (src .) (dst /src))
2025-05-19 16:39.40 ---> saved as "040d622ce751e5801bb788c9d9d417e709624d2c758c7e4cbdd7eb923d0e4750"


/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/5514f677ba8cf07df41237a7d43086e5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/34df995cd055baa2d99585581d7d0cf1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 19-29, characters 0-281:
19 | (rule
20 |  (alias runtest)
21 |  (target
22 |   (dir log_files))
23 |  (action
24 |   (run
25 |    %{dep:micrograd_demo_logging.exe}
26 |    "--ocannl_debug_backend=text"
27 |    "--ocannl_log_file_stem=micrograd_demo_logging"
28 |    "--ocannl_log_main_domain_to_stdout=false"
29 |    "--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 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/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5514f677ba8cf07df41237a7d43086e5/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/5514f677ba8cf07df41237a7d43086e5/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_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=0.193500, 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=0.190250, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220716, epoch loss=5.662744
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662744
Batch=59, step=2460, lr=0.190000, batch loss=0.230272, epoch loss=0.230272
Batch=119, step=2520, lr=0.189750, batch loss=0.196057, epoch loss=0.426329
Batch=179, step=2580, lr=0.189500, batch loss=0.221119, epoch loss=0.647448
Batch=239, step=2640, lr=0.189000, batch loss=0.328105, epoch loss=0.975553
Batch=299, step=2700, lr=0.189000, batch loss=0.203024, epoch loss=1.178576
Batch=359, step=2760, lr=0.188750, batch loss=0.289814, epoch loss=1.468391
Batch=419, step=2820, lr=0.188500, batch loss=0.281831, epoch loss=1.750222
Batch=479, step=2880, lr=0.188250, batch loss=0.264728, epoch loss=2.014950
Batch=539, step=2940, lr=0.188000, batch loss=0.203930, epoch loss=2.218880
Batch=599, step=3000, lr=0.187750, batch loss=0.247916, epoch loss=2.466796
Batch=659, step=3060, lr=0.187500, batch loss=0.345165, epoch loss=2.811960
Batch=719, step=3120, lr=0.187250, batch loss=0.343429, epoch loss=3.155390
Batch=779, step=3180, lr=0.187000, batch loss=0.367106, epoch loss=3.522496
Batch=839, step=3240, lr=0.186750, batch loss=0.321746, epoch loss=3.844242
Batch=899, step=3300, lr=0.186500, batch loss=0.280276, epoch loss=4.124518
Batch=959, step=3360, lr=0.186250, batch loss=0.204678, epoch loss=4.329196
Batch=1019, step=3420, lr=0.186000, batch loss=0.319715, epoch loss=4.648911
Batch=1079, step=3480, lr=0.185750, batch loss=0.193324, epoch loss=4.842235
Batch=1139, step=3540, lr=0.185500, batch loss=0.241051, epoch loss=5.083286
Batch=1199, step=3600, lr=0.185250, batch loss=0.199280, epoch loss=5.282566
Epoch=2, step=3600, lr=0.185250, epoch loss=5.282566
Batch=59, step=3660, lr=0.185000, batch loss=0.220254, epoch loss=0.220254
Batch=119, step=3720, lr=0.184750, batch loss=0.185855, epoch loss=0.406109
Batch=179, step=3780, lr=0.184500, batch loss=0.210591, epoch loss=0.616701
Batch=239, step=3840, lr=0.184250, batch loss=0.314596, epoch loss=0.931297
Batch=299, step=3900, lr=0.184000, batch loss=0.204288, epoch loss=1.135585
Batch=359, step=3960, lr=0.183750, batch loss=0.281048, epoch loss=1.416633
Batch=419, step=4020, lr=0.183500, batch loss=0.271867, epoch loss=1.688501
Batch=479, step=4080, lr=0.183250, batch loss=0.248974, epoch loss=1.937475
Batch=539, step=4140, lr=0.183000, batch loss=0.195842, epoch loss=2.133317
Batch=599, step=4200, lr=0.182750, batch loss=0.242452, epoch loss=2.375770
Batch=659, step=4260, lr=0.182500, batch loss=0.327765, epoch loss=2.703535
Batch=719, step=4320, lr=0.182250, batch loss=0.326101, epoch loss=3.029636
Batch=779, step=4380, lr=0.182000, batch loss=0.353017, epoch loss=3.382652
Batch=839, step=4440, lr=0.181750, batch loss=0.316080, epoch loss=3.698733
Batch=899, step=4500, lr=0.181500, batch loss=0.279866, epoch loss=3.978599
Batch=959, step=4560, lr=0.181250, batch loss=0.217007, epoch loss=4.195606
Batch=1019, step=4620, lr=0.181000, batch loss=0.357542, epoch loss=4.553148
Batch=1079, step=4680, lr=0.180750, batch loss=0.210735, epoch loss=4.763883
Batch=1139, step=4740, lr=0.180500, batch loss=0.248623, epoch loss=5.012506
Batch=1199, step=4800, lr=0.180250, batch loss=0.190087, epoch loss=5.202593
Epoch=3, step=4800, lr=0.180250, epoch loss=5.202593
Batch=59, step=4860, lr=0.180000, batch loss=0.221809, epoch loss=0.221809
Batch=119, step=4920, lr=0.179750, batch loss=0.189089, epoch loss=0.410898
Batch=179, step=4980, lr=0.179500, batch loss=0.206022, epoch loss=0.616920
Batch=239, step=5040, lr=0.179250, batch loss=0.307738, epoch loss=0.924658
Batch=299, step=5100, lr=0.179000, batch loss=0.207979, epoch loss=1.132637
Batch=359, step=5160, lr=0.178750, batch loss=0.277035, epoch loss=1.409672
Batch=419, step=5220, lr=0.178500, batch loss=0.278301, epoch loss=1.687972
Batch=479, step=5280, lr=0.178250, batch loss=0.250864, epoch loss=1.938836
Batch=539, step=5340, lr=0.178000, batch loss=0.195920, epoch loss=2.134756
Batch=599, step=5400, lr=0.177750, batch loss=0.241905, epoch loss=2.376661
Batch=659, step=5460, lr=0.177500, batch loss=0.318371, epoch loss=2.695032
Batch=719, step=5520, lr=0.177250, batch loss=0.320945, epoch loss=3.015977
Batch=779, step=5580, lr=0.177000, batch loss=0.342241, epoch loss=3.358218
Batch=839, step=5640, lr=0.176750, batch loss=0.310440, epoch loss=3.668658
Batch=899, step=5700, lr=0.176500, batch loss=0.271962, epoch loss=3.940620
Batch=959, step=5760, lr=0.176250, batch loss=0.216050, epoch loss=4.156670
Batch=1019, step=5820, lr=0.176000, batch loss=0.337104, epoch loss=4.493773
Batch=1079, step=5880, lr=0.175750, batch loss=0.187180, epoch loss=4.680953
Batch=1139, step=5940, lr=0.175500, batch loss=0.220603, epoch loss=4.901556
Batch=1199, step=6000, lr=0.175250, batch loss=0.186670, epoch loss=5.088226
Epoch=4, step=6000, lr=0.175250, epoch loss=5.088226
Batch=59, step=6060, lr=0.175000, batch loss=0.230406, epoch loss=0.230406
Batch=119, step=6120, lr=0.174750, batch loss=0.195903, epoch loss=0.426308
Batch=179, step=6180, lr=0.174500, batch loss=0.201174, epoch loss=0.627482
Batch=239, step=6240, lr=0.174250, batch loss=0.302956, epoch loss=0.930438
Batch=299, step=6300, lr=0.174000, batch loss=0.211336, epoch loss=1.141774
Batch=359, step=6360, lr=0.173750, batch loss=0.274056, epoch loss=1.415830
Batch=419, step=6420, lr=0.173500, batch loss=0.267497, epoch loss=1.683327
Batch=479, step=6480, lr=0.173250, batch loss=0.242548, epoch loss=1.925876
Batch=539, step=6540, lr=0.173000, batch loss=0.195363, epoch loss=2.121239
Batch=599, step=6600, lr=0.172750, batch loss=0.233074, epoch loss=2.354313
Batch=659, step=6660, lr=0.172500, batch loss=0.313521, epoch loss=2.667833
Batch=719, step=6720, lr=0.172250, batch loss=0.318408, epoch loss=2.986242
Batch=779, step=6780, lr=0.172000, batch loss=0.339779, epoch loss=3.326021
Batch=839, step=6840, lr=0.171750, batch loss=0.299122, epoch loss=3.625143
Batch=899, step=6900, lr=0.171500, batch loss=0.262495, epoch loss=3.887637
Batch=959, step=6960, lr=0.171250, batch loss=0.217270, epoch loss=4.104907
Batch=1019, step=7020, lr=0.171000, batch loss=0.321327, epoch loss=4.426234
Batch=1079, step=7080, lr=0.170750, batch loss=0.180770, epoch loss=4.607004
Batch=1139, step=7140, lr=0.170500, batch loss=0.217871, epoch loss=4.824875
Batch=1199, step=7200, lr=0.170250, batch loss=0.181890, epoch loss=5.006765
Epoch=5, step=7200, lr=0.170250, epoch loss=5.006765
Batch=59, step=7260, lr=0.170000, batch loss=0.239209, epoch loss=0.239209
Batch=119, step=7320, lr=0.169750, batch loss=0.181166, epoch loss=0.420375
Batch=179, step=7380, lr=0.169500, batch loss=0.195417, epoch loss=0.615792
Batch=239, step=7440, lr=0.169250, batch loss=0.290761, epoch loss=0.906552
Batch=299, step=7500, lr=0.169000, batch loss=0.209227, epoch loss=1.115779
Batch=359, step=7560, lr=0.168750, batch loss=0.262579, epoch loss=1.378357
Batch=419, step=7620, lr=0.168500, batch loss=0.253547, epoch loss=1.631905
Batch=479, step=7680, lr=0.168250, batch loss=0.233209, epoch loss=1.865114
Batch=539, step=7740, lr=0.168000, batch loss=0.192583, epoch loss=2.057697
Batch=599, step=7800, lr=0.167750, batch loss=0.226532, epoch loss=2.284229
Batch=659, step=7860, lr=0.167250, batch loss=0.305965, epoch loss=2.590194
Batch=719, step=7920, lr=0.167250, batch loss=0.309829, epoch loss=2.900023
Batch=779, step=7980, lr=0.167000, batch loss=0.329868, epoch loss=3.229891
Batch=839, step=8040, lr=0.166750, batch loss=0.292361, epoch loss=3.522252
Batch=899, step=8100, lr=0.166500, batch loss=0.261597, epoch loss=3.783849
Batch=959, step=8160, lr=0.166250, batch loss=0.193897, epoch loss=3.977746
Batch=1019, step=8220, lr=0.166000, batch loss=0.302404, epoch loss=4.280150
Batch=1079, step=8280, lr=0.165750, batch loss=0.183317, epoch loss=4.463468
Batch=1139, step=8340, lr=0.165500, batch loss=0.215656, epoch loss=4.679124
Batch=1199, step=8400, lr=0.165250, batch loss=0.172255, epoch loss=4.851379
Epoch=6, step=8400, lr=0.165250, epoch loss=4.851379
Batch=59, step=8460, lr=0.165000, batch loss=0.212338, epoch loss=0.212338
Batch=119, step=8520, lr=0.164750, batch loss=0.178106, epoch loss=0.390444
Batch=179, step=8580, lr=0.164500, batch loss=0.188532, epoch loss=0.578976
Batch=239, step=8640, lr=0.164250, batch loss=0.279009, epoch loss=0.857986
Batch=299, step=8700, lr=0.164000, batch loss=0.192687, epoch loss=1.050673
Batch=359, step=8760, lr=0.163750, batch loss=0.255828, epoch loss=1.306501
Batch=419, step=8820, lr=0.163500, batch loss=0.244990, epoch loss=1.551491
Batch=479, step=8880, lr=0.163250, batch loss=0.229284, epoch loss=1.780776
Batch=539, step=8940, lr=0.163000, batch loss=0.177687, epoch loss=1.958463
Batch=599, step=9000, lr=0.162750, batch loss=0.217695, epoch loss=2.176158
Batch=659, step=9060, lr=0.162500, batch loss=0.294171, epoch loss=2.470328
Batch=719, step=9120, lr=0.162250, batch loss=0.297980, epoch loss=2.768308
Batch=779, step=9180, lr=0.161750, batch loss=0.315981, epoch loss=3.084289
Batch=839, step=9240, lr=0.161500, batch loss=0.281267, epoch loss=3.365556
Batch=899, step=9300, lr=0.161500, batch loss=0.250908, epoch loss=3.616464
Batch=959, step=9360, lr=0.161250, batch loss=0.189014, epoch loss=3.805478
Batch=1019, step=9420, lr=0.161000, batch loss=0.318194, epoch loss=4.123672
Batch=1079, step=9480, lr=0.160750, batch loss=0.186117, epoch loss=4.309789
Batch=1139, step=9540, lr=0.160500, batch loss=0.212694, epoch loss=4.522483
Batch=1199, step=9600, lr=0.160250, batch loss=0.166613, epoch loss=4.689096
Epoch=7, step=9600, lr=0.160250, epoch loss=4.689096
Batch=59, step=9660, lr=0.160000, batch loss=0.210624, epoch loss=0.210624
Batch=119, step=9720, lr=0.159750, batch loss=0.170573, epoch loss=0.381197
Batch=179, step=9780, lr=0.159500, batch loss=0.179360, epoch loss=0.560558
Batch=239, step=9840, lr=0.159250, batch loss=0.260814, epoch loss=0.821372
Batch=299, step=9900, lr=0.159000, batch loss=0.186786, epoch loss=1.008158
Batch=359, step=9960, lr=0.158750, batch loss=0.241478, epoch loss=1.249637
Batch=419, step=10020, lr=0.158500, batch loss=0.240662, epoch loss=1.490298
Batch=479, step=10080, lr=0.158250, batch loss=0.225036, epoch loss=1.715334
Batch=539, step=10140, lr=0.158000, batch loss=0.172937, epoch loss=1.888272
Batch=599, step=10200, lr=0.157750, batch loss=0.199788, epoch loss=2.088060
Batch=659, step=10260, lr=0.157500, batch loss=0.283622, epoch loss=2.371682
Batch=719, step=10320, lr=0.157250, batch loss=0.282549, epoch loss=2.654231
Batch=779, step=10380, lr=0.157000, batch loss=0.297017, epoch loss=2.951248
Batch=839, step=10440, lr=0.156750, batch loss=0.271087, epoch loss=3.222335
Batch=899, step=10500, lr=0.156500, batch loss=0.237217, epoch loss=3.459553
Batch=959, step=10560, lr=0.156250, batch loss=0.188121, epoch loss=3.647674
Batch=1019, step=10620, lr=0.156000, batch loss=0.283232, epoch loss=3.930906
Batch=1079, step=10680, lr=0.155750, batch loss=0.171661, epoch loss=4.102567
Batch=1139, step=10740, lr=0.155500, batch loss=0.203668, epoch loss=4.306235
Batch=1199, step=10800, lr=0.155250, batch loss=0.155073, epoch loss=4.461308
Epoch=8, step=10800, lr=0.155250, epoch loss=4.461308
Batch=59, step=10860, lr=0.155000, batch loss=0.178863, epoch loss=0.178863
Batch=119, step=10920, lr=0.154750, batch loss=0.151051, epoch loss=0.329913
Batch=179, step=10980, lr=0.154500, batch loss=0.166842, epoch loss=0.496755
Batch=239, step=11040, lr=0.154250, batch loss=0.250603, epoch loss=0.747358
Batch=299, step=11100, lr=0.154000, batch loss=0.163117, epoch loss=0.910474
Batch=359, step=11160, lr=0.153750, batch loss=0.225099, epoch loss=1.135573
Batch=419, step=11220, lr=0.153500, batch loss=0.233738, epoch loss=1.369311
Batch=479, step=11280, lr=0.153250, batch loss=0.197885, epoch loss=1.567196
Batch=539, step=11340, lr=0.153000, batch loss=0.157510, epoch loss=1.724707
Batch=599, step=11400, lr=0.152750, batch loss=0.180088, epoch loss=1.904795
Batch=659, step=11460, lr=0.152500, batch loss=0.262562, epoch loss=2.167357
Batch=719, step=11520, lr=0.152250, batch loss=0.255253, epoch loss=2.422610
Batch=779, step=11580, lr=0.152000, batch loss=0.269408, epoch loss=2.692019
Batch=839, step=11640, lr=0.151750, batch loss=0.249857, epoch loss=2.941876
Batch=899, step=11700, lr=0.151500, batch loss=0.216547, epoch loss=3.158423
Batch=959, step=11760, lr=0.151250, batch loss=0.172553, epoch loss=3.330975
Batch=1019, step=11820, lr=0.151000, batch loss=0.260754, epoch loss=3.591729
Batch=1079, step=11880, lr=0.150750, batch loss=0.145574, epoch loss=3.737303
Batch=1139, step=11940, lr=0.150500, batch loss=0.181064, epoch loss=3.918367
Batch=1199, step=12000, lr=0.150250, batch loss=0.138704, epoch loss=4.057071
Epoch=9, step=12000, lr=0.150250, epoch loss=4.057071
Batch=59, step=12060, lr=0.150000, batch loss=0.159259, epoch loss=0.159259
Batch=119, step=12120, lr=0.149750, batch loss=0.137570, epoch loss=0.296828
Batch=179, step=12180, lr=0.149500, batch loss=0.150286, epoch loss=0.447114
Batch=239, step=12240, lr=0.149250, batch loss=0.217674, epoch loss=0.664788
Batch=299, step=12300, lr=0.149000, batch loss=0.142166, epoch loss=0.806954
Batch=359, step=12360, lr=0.148750, batch loss=0.196062, epoch loss=1.003016
Batch=419, step=12420, lr=0.148500, batch loss=0.206328, epoch loss=1.209344
Batch=479, step=12480, lr=0.148250, batch loss=0.176916, epoch loss=1.386260
Batch=539, step=12540, lr=0.148000, batch loss=0.142278, epoch loss=1.528538
Batch=599, step=12600, lr=0.147750, batch loss=0.147140, epoch loss=1.675678
Batch=659, step=12660, lr=0.147500, batch loss=0.220436, epoch loss=1.896114
Batch=719, step=12720, lr=0.147250, batch loss=0.229987, epoch loss=2.126101
Batch=779, step=12780, lr=0.147000, batch loss=0.239845, epoch loss=2.365946
Batch=839, step=12840, lr=0.146750, batch loss=0.230935, epoch loss=2.596880
Batch=899, step=12900, lr=0.146500, batch loss=0.214627, epoch loss=2.811507
Batch=959, step=12960, lr=0.146250, batch loss=0.152580, epoch loss=2.964087
Batch=1019, step=13020, lr=0.146000, batch loss=0.262237, epoch loss=3.226324
Batch=1079, step=13080, lr=0.145750, batch loss=0.112510, epoch loss=3.338834
Batch=1139, step=13140, lr=0.145500, batch loss=0.155550, epoch loss=3.494384
Batch=1199, step=13200, lr=0.145000, batch loss=0.117351, epoch loss=3.611735
Epoch=10, step=13200, lr=0.145000, epoch loss=3.611735
Batch=59, step=13260, lr=0.145000, batch loss=0.140864, epoch loss=0.140864
Batch=119, step=13320, lr=0.144750, batch loss=0.120670, epoch loss=0.261534
Batch=179, step=13380, lr=0.144500, batch loss=0.126744, epoch loss=0.388278
Batch=239, step=13440, lr=0.144250, batch loss=0.185879, epoch loss=0.574157
Batch=299, step=13500, lr=0.144000, batch loss=0.114885, epoch loss=0.689041
Batch=359, step=13560, lr=0.143750, batch loss=0.157601, epoch loss=0.846642
Batch=419, step=13620, lr=0.143500, batch loss=0.160850, epoch loss=1.007492
Batch=479, step=13680, lr=0.143250, batch loss=0.145100, epoch loss=1.152592
Batch=539, step=13740, lr=0.143000, batch loss=0.118044, epoch loss=1.270636
Batch=599, step=13800, lr=0.142500, batch loss=0.118731, epoch loss=1.389367
Batch=659, step=13860, lr=0.142500, batch loss=0.173016, epoch loss=1.562383
Batch=719, step=13920, lr=0.142250, batch loss=0.174502, epoch loss=1.736886
Batch=779, step=13980, lr=0.142000, batch loss=0.196249, epoch loss=1.933135
Batch=839, step=14040, lr=0.141750, batch loss=0.186556, epoch loss=2.119691
Batch=899, step=14100, lr=0.141500, batch loss=0.178202, epoch loss=2.297893
Batch=959, step=14160, lr=0.141250, batch loss=0.140096, epoch loss=2.437989
Batch=1019, step=14220, lr=0.141000, batch loss=0.298255, epoch loss=2.736244
Batch=1079, step=14280, lr=0.140750, batch loss=0.076679, epoch loss=2.812923
Batch=1139, step=14340, lr=0.140500, batch loss=0.122571, epoch loss=2.935494
Batch=1199, step=14400, lr=0.140250, batch loss=0.090669, epoch loss=3.026163
Epoch=11, step=14400, lr=0.140250, epoch loss=3.026163
Batch=59, step=14460, lr=0.140000, batch loss=0.120687, epoch loss=0.120687
Batch=119, step=14520, lr=0.139750, batch loss=0.112674, epoch loss=0.233361
Batch=179, step=14580, lr=0.139500, batch loss=0.107143, epoch loss=0.340504
Batch=239, step=14640, lr=0.139250, batch loss=0.137794, epoch loss=0.478298
Batch=299, step=14700, lr=0.139000, batch loss=0.066844, epoch loss=0.545142
Batch=359, step=14760, lr=0.138750, batch loss=0.108534, epoch loss=0.653676
Batch=419, step=14820, lr=0.138500, batch loss=0.118051, epoch loss=0.771727
Batch=479, step=14880, lr=0.138250, batch loss=0.108113, epoch loss=0.879840
Batch=539, step=14940, lr=0.138000, batch loss=0.119182, epoch loss=0.999022
Batch=599, step=15000, lr=0.137750, batch loss=0.086916, epoch loss=1.085938
Batch=659, step=15060, lr=0.137500, batch loss=0.127202, epoch loss=1.213140
Batch=719, step=15120, lr=0.137250, batch loss=0.134691, epoch loss=1.347831
Batch=779, step=15180, lr=0.137000, batch loss=0.174855, epoch loss=1.522687
Batch=839, step=15240, lr=0.136500, batch loss=0.149339, epoch loss=1.672026
Batch=899, step=15300, lr=0.136250, batch loss=0.142241, epoch loss=1.814267
Batch=959, step=15360, lr=0.136250, batch loss=0.088597, epoch loss=1.902864
Batch=1019, step=15420, lr=0.136000, batch loss=0.170039, epoch loss=2.072903
Batch=1079, step=15480, lr=0.135750, batch loss=0.045551, epoch loss=2.118454
Batch=1139, step=15540, lr=0.135500, batch loss=0.103229, epoch loss=2.221682
Batch=1199, step=15600, lr=0.135250, batch loss=0.057025, epoch loss=2.278707
Epoch=12, step=15600, lr=0.135250, epoch loss=2.278707
Batch=59, step=15660, lr=0.135000, batch loss=0.074546, epoch loss=0.074546
Batch=119, step=15720, lr=0.134750, batch loss=0.129090, epoch loss=0.203636
Batch=179, step=15780, lr=0.134500, batch loss=0.094182, epoch loss=0.297818
Batch=239, step=15840, lr=0.134250, batch loss=0.093070, epoch loss=0.390888
Batch=299, step=15900, lr=0.134000, batch loss=0.037913, epoch loss=0.428801
Batch=359, step=15960, lr=0.133750, batch loss=0.082300, epoch loss=0.511101
Batch=419, step=16020, lr=0.133500, batch loss=0.077517, epoch loss=0.588618
Batch=479, step=16080, lr=0.133250, batch loss=0.060303, epoch loss=0.648920
Batch=539, step=16140, lr=0.133000, batch loss=0.064012, epoch loss=0.712933
Batch=599, step=16200, lr=0.132750, batch loss=0.149812, epoch loss=0.862745
Batch=659, step=16260, lr=0.132500, batch loss=0.086309, epoch loss=0.949054
Batch=719, step=16320, lr=0.132250, batch loss=0.137368, epoch loss=1.086422
Batch=779, step=16380, lr=0.131750, batch loss=0.337011, epoch loss=1.423433
Batch=839, step=16440, lr=0.131750, batch loss=0.100069, epoch loss=1.523503
Batch=899, step=16500, lr=0.131500, batch loss=0.088705, epoch loss=1.612208
Batch=959, step=16560, lr=0.131250, batch loss=0.033704, epoch loss=1.645912
Batch=1019, step=16620, lr=0.131000, batch loss=0.061536, epoch loss=1.707448
Batch=1079, step=16680, lr=0.130750, batch loss=0.053491, epoch loss=1.760939
Batch=1139, step=16740, lr=0.130500, batch loss=0.098179, epoch loss=1.859118
Batch=1199, step=16800, lr=0.130250, batch loss=0.048357, epoch loss=1.907475
Epoch=13, step=16800, lr=0.130250, epoch loss=1.907475
Batch=59, step=16860, lr=0.130000, batch loss=0.034004, epoch loss=0.034004
Batch=119, step=16920, lr=0.129750, batch loss=0.033918, epoch loss=0.067921
Batch=179, step=16980, lr=0.129500, batch loss=0.042837, epoch loss=0.110758
Batch=239, step=17040, lr=0.129250, batch loss=0.063630, epoch loss=0.174387
Batch=299, step=17100, lr=0.129000, batch loss=0.027457, epoch loss=0.201844
Batch=359, step=17160, lr=0.128750, batch loss=0.046427, epoch loss=0.248271
Batch=419, step=17220, lr=0.128500, batch loss=0.071089, epoch loss=0.319361
Batch=479, step=17280, lr=0.128250, batch loss=0.021331, epoch loss=0.340691
Batch=539, step=17340, lr=0.128000, batch loss=0.027416, epoch loss=0.368108
Batch=599, step=17400, lr=0.127750, batch loss=0.035382, epoch loss=0.403489
Batch=659, step=17460, lr=0.127500, batch loss=0.056923, epoch loss=0.460412
Batch=719, step=17520, lr=0.127250, batch loss=0.091702, epoch loss=0.552114
Batch=779, step=17580, lr=0.127000, batch loss=0.059358, epoch loss=0.611471
Batch=839, step=17640, lr=0.126750, batch loss=0.091701, epoch loss=0.703172
Batch=899, step=17700, lr=0.126500, batch loss=0.049028, epoch loss=0.752200
Batch=959, step=17760, lr=0.126250, batch loss=0.019660, epoch loss=0.771860
Batch=1019, step=17820, lr=0.126000, batch loss=0.049376, epoch loss=0.821237
Batch=1079, step=17880, lr=0.125750, batch loss=0.029980, epoch loss=0.851217
Batch=1139, step=17940, lr=0.125500, batch loss=0.060622, epoch loss=0.911838
Batch=1199, step=18000, lr=0.125250, batch loss=0.022152, epoch loss=0.933990
Epoch=14, step=18000, lr=0.125250, epoch loss=0.933990
Batch=59, step=18060, lr=0.124750, batch loss=0.012795, epoch loss=0.012795
Batch=119, step=18120, lr=0.124750, batch loss=0.017993, epoch loss=0.030788
Batch=179, step=18180, lr=0.124500, batch loss=0.029476, epoch loss=0.060264
Batch=239, step=18240, lr=0.124250, batch loss=0.033755, epoch loss=0.094019
Batch=299, step=18300, lr=0.124000, batch loss=0.012457, epoch loss=0.106477
Batch=359, step=18360, lr=0.123750, batch loss=0.022685, epoch loss=0.129162
Batch=419, step=18420, lr=0.123500, batch loss=0.029527, epoch loss=0.158689
Batch=479, step=18480, lr=0.123250, batch loss=0.018841, epoch loss=0.177530
Batch=539, step=18540, lr=0.123000, batch loss=0.044060, epoch loss=0.221590
Batch=599, step=18600, lr=0.122750, batch loss=0.025582, epoch loss=0.247172
Batch=659, step=18660, lr=0.122500, batch loss=0.034857, epoch loss=0.282030
Batch=719, step=18720, lr=0.122250, batch loss=0.034093, epoch loss=0.316122
Batch=779, step=18780, lr=0.122000, batch loss=0.097422, epoch loss=0.413544
Batch=839, step=18840, lr=0.121750, batch loss=0.058097, epoch loss=0.471642
Batch=899, step=18900, lr=0.121500, batch loss=0.075123, epoch loss=0.546765
Batch=959, step=18960, lr=0.121250, batch loss=0.013644, epoch loss=0.560408
Batch=1019, step=19020, lr=0.121000, batch loss=0.018877, epoch loss=0.579285
Batch=1079, step=19080, lr=0.120750, batch loss=0.007658, epoch loss=0.586943
Batch=1139, step=19140, lr=0.120500, batch loss=0.023640, epoch loss=0.610583
Batch=1199, step=19200, lr=0.120250, batch loss=0.009972, epoch loss=0.620555
Epoch=15, step=19200, lr=0.120250, epoch loss=0.620555
Batch=59, step=19260, lr=0.120000, batch loss=0.004736, epoch loss=0.004736
Batch=119, step=19320, lr=0.119750, batch loss=0.018022, epoch loss=0.022758
Batch=179, step=19380, lr=0.119500, batch loss=0.045128, epoch loss=0.067886
Batch=239, step=19440, lr=0.119250, batch loss=0.020620, epoch loss=0.088506
Batch=299, step=19500, lr=0.119000, batch loss=0.004985, epoch loss=0.093492
Batch=359, step=19560, lr=0.118750, batch loss=0.016536, epoch loss=0.110028
Batch=419, step=19620, lr=0.118500, batch loss=0.019802, epoch loss=0.129830
Batch=479, step=19680, lr=0.118250, batch loss=0.007399, epoch loss=0.137228
Batch=539, step=19740, lr=0.118000, batch loss=0.016259, epoch loss=0.153487
Batch=599, step=19800, lr=0.117750, batch loss=0.022634, epoch loss=0.176121
Batch=659, step=19860, lr=0.117500, batch loss=0.017516, epoch loss=0.193638
Batch=719, step=19920, lr=0.117250, batch loss=0.045035, epoch loss=0.238673
Batch=779, step=19980, lr=0.117000, batch loss=0.079600, epoch loss=0.318272
Batch=839, step=20040, lr=0.116750, batch loss=0.031001, epoch loss=0.349274
Batch=899, step=20100, lr=0.116500, batch loss=0.028893, epoch loss=0.378166
Batch=959, step=20160, lr=0.116250, batch loss=0.017345, epoch loss=0.395511
Batch=1019, step=20220, lr=0.116000, batch loss=0.023526, epoch loss=0.419037
Batch=1079, step=20280, lr=0.115750, batch loss=0.002230, epoch loss=0.421268
Batch=1139, step=20340, lr=0.115500, batch loss=0.014758, epoch loss=0.436026
Batch=1199, step=20400, lr=0.115250, batch loss=0.005954, epoch loss=0.441980
Epoch=16, step=20400, lr=0.115250, epoch loss=0.441980
Batch=59, step=20460, lr=0.115000, batch loss=0.003292, epoch loss=0.003292
Batch=119, step=20520, lr=0.114750, batch loss=0.009702, epoch loss=0.012995
Batch=179, step=20580, lr=0.114500, batch loss=0.025682, epoch loss=0.038677
Batch=239, step=20640, lr=0.114250, batch loss=0.014873, epoch loss=0.053550
Batch=299, step=20700, lr=0.114000, batch loss=0.003388, epoch loss=0.056938
Batch=359, step=20760, lr=0.113750, batch loss=0.013120, epoch loss=0.070058
Batch=419, step=20820, lr=0.113500, batch loss=0.014066, epoch loss=0.084124
Batch=479, step=20880, lr=0.113250, batch loss=0.005894, epoch loss=0.090019
Batch=539, step=20940, lr=0.113000, batch loss=0.016308, epoch loss=0.106327
Batch=599, step=21000, lr=0.112750, batch loss=0.017674, epoch loss=0.124001
Batch=659, step=21060, lr=0.112500, batch loss=0.013765, epoch loss=0.137766
Batch=719, step=21120, lr=0.112250, batch loss=0.032283, epoch loss=0.170050
Batch=779, step=21180, lr=0.112000, batch loss=0.055125, epoch loss=0.225175
Batch=839, step=21240, lr=0.111750, batch loss=0.024082, epoch loss=0.249257
Batch=899, step=21300, lr=0.111500, batch loss=0.023508, epoch loss=0.272765
Batch=959, step=21360, lr=0.111250, batch loss=0.014695, epoch loss=0.287460
Batch=1019, step=21420, lr=0.111000, batch loss=0.014303, epoch loss=0.301764
Batch=1079, step=21480, lr=0.110500, batch loss=0.001632, epoch loss=0.303396
Batch=1139, step=21540, lr=0.110500, batch loss=0.012679, epoch loss=0.316075
Batch=1199, step=21600, lr=0.110250, batch loss=0.005195, epoch loss=0.321270
Epoch=17, step=21600, lr=0.110250, epoch loss=0.321270
Batch=59, step=21660, lr=0.110000, batch loss=0.002381, epoch loss=0.002381
Batch=119, step=21720, lr=0.109750, batch loss=0.006826, epoch loss=0.009207
Batch=179, step=21780, lr=0.109500, batch loss=0.012433, epoch loss=0.021640
Batch=239, step=21840, lr=0.109250, batch loss=0.009885, epoch loss=0.031524
Batch=299, step=21900, lr=0.109000, batch loss=0.011060, epoch loss=0.042585
Batch=359, step=21960, lr=0.108750, batch loss=0.013243, epoch loss=0.055828
Batch=419, step=22020, lr=0.108500, batch loss=0.012790, epoch loss=0.068617
Batch=479, step=22080, lr=0.108250, batch loss=0.003385, epoch loss=0.072003
Batch=539, step=22140, lr=0.108000, batch loss=0.015721, epoch loss=0.087724
Batch=599, step=22200, lr=0.107750, batch loss=0.016228, epoch loss=0.103953
Batch=659, step=22260, lr=0.107500, batch loss=0.012846, epoch loss=0.116798
Batch=719, step=22320, lr=0.107250, batch loss=0.020455, epoch loss=0.137253
Batch=779, step=22380, lr=0.107000, batch loss=0.028938, epoch loss=0.166191
Batch=839, step=22440, lr=0.106750, batch loss=0.029240, epoch loss=0.195431
Batch=899, step=22500, lr=0.106500, batch loss=0.023672, epoch loss=0.219104
Batch=959, step=22560, lr=0.106250, batch loss=0.011147, epoch loss=0.230251
Batch=1019, step=22620, lr=0.106000, batch loss=0.009608, epoch loss=0.239859
Batch=1079, step=22680, lr=0.105750, batch loss=0.001781, epoch loss=0.241640
Batch=1139, step=22740, lr=0.105500, batch loss=0.010723, epoch loss=0.252363
Batch=1199, step=22800, lr=0.105250, batch loss=0.005228, epoch loss=0.257592
Epoch=18, step=22800, lr=0.105250, epoch loss=0.257592
Batch=59, step=22860, lr=0.105000, batch loss=0.002265, epoch loss=0.002265
Batch=119, step=22920, lr=0.104750, batch loss=0.005491, epoch loss=0.007756
Batch=179, step=22980, lr=0.104500, batch loss=0.012249, epoch loss=0.020005
Batch=239, step=23040, lr=0.104250, batch loss=0.008261, epoch loss=0.028266
Batch=299, step=23100, lr=0.104000, batch loss=0.004479, epoch loss=0.032745
Batch=359, step=23160, lr=0.103750, batch loss=0.011586, epoch loss=0.044332
Batch=419, step=23220, lr=0.103500, batch loss=0.010265, epoch loss=0.054597
Batch=479, step=23280, lr=0.103250, batch loss=0.004401, epoch loss=0.058998
Batch=539, step=23340, lr=0.103000, batch loss=0.014321, epoch loss=0.073319
Batch=599, step=23400, lr=0.102750, batch loss=0.014471, epoch loss=0.087791
Batch=659, step=23460, lr=0.102500, batch loss=0.011791, epoch loss=0.099582
Batch=719, step=23520, lr=0.102250, batch loss=0.012572, epoch loss=0.112154
Batch=779, step=23580, lr=0.102000, batch loss=0.023629, epoch loss=0.135784
Batch=839, step=23640, lr=0.101750, batch loss=0.025420, epoch loss=0.161204
Batch=899, step=23700, lr=0.101500, batch loss=0.022725, epoch loss=0.183929
Batch=959, step=23760, lr=0.101250, batch loss=0.008469, epoch loss=0.192398
Batch=1019, step=23820, lr=0.101000, batch loss=0.008561, epoch loss=0.200959
Batch=1079, step=23880, lr=0.100750, batch loss=0.000451, epoch loss=0.201410
Batch=1139, step=23940, lr=0.100500, batch loss=0.009523, epoch loss=0.210933
Batch=1199, step=24000, lr=0.100250, batch loss=0.004612, epoch loss=0.215544
Epoch=19, step=24000, lr=0.100250, epoch loss=0.215544


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
2025-05-19 16:41.24: Job failed: Failed: Build failed