alpine-3.21-5.3_opam-2.3

2025-05-15 20:27.23: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (41a9d1e5f397edec7b8eef338a671210d4e6f970) (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 41a9d1e5
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571
# alpine-3.21-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


END-OF-DOCKERFILE
docker build .
END-REPRO-BLOCK


2025-05-15 20:27.23: Using cache hint "ahrefs/ocannl-ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571-alpine-3.21-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-15 20:27.23: Using OBuilder spec:
((from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
(comment alpine-3.21-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-05-15 20:27.23: Waiting for resource in pool OCluster
2025-05-15 20:27.23: Waiting for worker…
2025-05-15 20:33.12: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 41a9d1e5 Unified logging for C_syntax, refactored by Gemini CUDA and Metal in-progress / broken: unfinished and potentially buggy.


(from ocaml/opam:alpine-3.21-ocaml-5.3@sha256:5957ac9a5e2e15455a45c19299b956410a2cb1aa7a7c57821dc4032ffd942571)
2025-05-15 20:33.38 ---> saved as "e49bbe0abcbff463a9108ac76ab9842b22d9952ceb038ff96c3d7ae7970ff962"


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


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-15 20:33.38 ---> saved as "64b7ced97fd2f4eb6b85dd4ff640c243d5a7cac2c249f19cfd789778c95e1d2f"


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


This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.


Continue? [y/n] y
[NOTE] The 'jobs' option was reset, its value was 255 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=255 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-15 20:34.34 ---> saved as "49db337dae0bac71dc6cec7c726897191bef158123b428b74e27d62f0a6b1936"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-15 20:34.34 ---> saved as "4c4b8b86a744581f3e1bd14a680e0d8cd636a7b643c1259f9d18c66b9e00b6ed"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-15 20:34.35 ---> saved as "1d5c84a51aeb1e666c1d485b5bc48d792b94b09ea837c8e61ecb04ba67b721db"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..e638a97fb8  master     -> origin/master
997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-05-15 20:35.27 ---> saved as "ed91b5d68afb341781738ee94e2b5d7121a72935fe655bc78ddefd6b90ca132f"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-15 20:35.27 ---> saved as "3447341e45978511d37496412d8cf0bd00152169666b38173df912c353af7377"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-15 20:35.37 ---> saved as "c18c3293fb55e48178c49ea6a14bd19b50c0f5a53fb804023a5cb4485c5cce29"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-15 20:35.37 ---> saved as "032adceba002b196443012a023eeef306584e0583f4bdf0e11c942b3c2d8c555"


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apk" "update"
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/v3.21/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/main/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/community/x86_64/APKINDEX.tar.gz
- fetch https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz
- v3.21.3-480-gb04256b6954 [https://dl-cdn.alpinelinux.org/alpine/v3.21/main]
- v3.21.3-482-gf091f8194f5 [https://dl-cdn.alpinelinux.org/alpine/v3.21/community]
- v20250108-8296-ge2655291296 [https://dl-cdn.alpinelinux.org/alpine/edge/main]
- v20250108-8292-g2126bd2c639 [https://dl-cdn.alpinelinux.org/alpine/edge/community]
- v20250108-8292-g2126bd2c639 [https://dl-cdn.alpinelinux.org/alpine/edge/testing]
- OK: 58216 distinct packages available


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


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


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


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


+ /usr/bin/sudo "apk" "add" "libffi-dev"
- (1/2) Installing linux-headers (6.6-r1)
- (2/2) Installing libffi-dev (3.4.7-r0)
- OK: 312 MiB in 104 packages
2025-05-15 20:36.28 ---> saved as "82f4d363aec3a0953aa85de2f732fa1af9e4b084c77f4dc79755c8c94150aee7"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved 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_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_hash.v0.17.0  (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)
-> installed cmdliner.1.3.0
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed astring.0.8.5
-> installed ptime.1.2.0
-> installed fmt.0.10.0
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed printbox.0.12
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-syntax-shims.1.0.0
-> 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 ctypes-foreign.0.23.0
-> installed base.v0.17.2
-> installed printbox-md.0.12
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_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)
2025-05-15 20:40.26 ---> saved as "fb77f4f78dc40b3f216b5df1508870bc5dfe3b488d936fe6c9ccc14fd5261050"


/src: (copy (src .) (dst /src))
2025-05-15 20:40.27 ---> saved as "738d4a95e9cbfb5020e8b836e0c8b96bf1fcfc2d8dae5b800de034ddf221f646"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(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/c5d022538888dad290aaa40f48a0f777/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/16f8211fe8e34e31e11e2241610937d1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 19-41, characters 0-727:
19 | (rule
20 |  (target
21 |   (dir log_files))
....
39 |     "\\1[0]{=MAYBE UNINITIALIZED} = "
40 |     "log_files/micrograd_demo_logging-g_gradient_update.log"
41 |     "log_files/micrograd_demo_logging-g_gradient_update.log"))))
(cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_routine_files=overwrite)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_cd_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_routine_files
Found overwrite, commandline --ocannl_debug_log_to_routine_files=overwrite
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed
Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64
Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31
Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59
Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38
Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82
Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92
Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92
Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/c5d022538888dad290aaa40f48a0f777/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/c5d022538888dad290aaa40f48a0f777/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_debug_log_to_routine_files
Not found, using default no
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=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.644440, epoch loss=34.770819
Batch=239, step=240, lr=0.199250, batch loss=0.855278, epoch loss=35.626096
Batch=299, step=300, lr=0.199000, batch loss=1.437143, epoch loss=37.063240
Batch=359, step=360, lr=0.198750, batch loss=1.338851, epoch loss=38.402091
Batch=419, step=420, lr=0.198500, batch loss=0.611321, epoch loss=39.013412
Batch=479, step=480, lr=0.198250, batch loss=0.745907, epoch loss=39.759319
Batch=539, step=540, lr=0.198000, batch loss=0.690502, epoch loss=40.449821
Batch=599, step=600, lr=0.197750, batch loss=1.101582, epoch loss=41.551403
Batch=659, step=660, lr=0.197500, batch loss=0.481828, epoch loss=42.033231
Batch=719, step=720, lr=0.197250, batch loss=0.410623, epoch loss=42.443854
Batch=779, step=780, lr=0.197000, batch loss=0.469028, epoch loss=42.912882
Batch=839, step=840, lr=0.196500, batch loss=0.450368, epoch loss=43.363250
Batch=899, step=900, lr=0.196250, batch loss=0.383557, epoch loss=43.746807
Batch=959, step=960, lr=0.196000, batch loss=0.267767, epoch loss=44.014574
Batch=1019, step=1020, lr=0.196000, batch loss=0.487572, epoch loss=44.502147
Batch=1079, step=1080, lr=0.195750, batch loss=0.265005, epoch loss=44.767152
Batch=1139, step=1140, lr=0.195500, batch loss=0.330959, epoch loss=45.098110
Batch=1199, step=1200, lr=0.195250, batch loss=0.265159, epoch loss=45.363270
Epoch=0, step=1200, lr=0.195250, epoch loss=45.363270
Batch=59, step=1260, lr=0.195000, batch loss=0.263230, epoch loss=0.263230
Batch=119, step=1320, lr=0.194750, batch loss=0.204630, epoch loss=0.467860
Batch=179, step=1380, lr=0.194500, batch loss=0.245299, epoch loss=0.713159
Batch=239, step=1440, lr=0.194250, batch loss=0.349917, epoch loss=1.063075
Batch=299, step=1500, lr=0.194000, batch loss=0.239478, epoch loss=1.302553
Batch=359, step=1560, lr=0.193750, batch loss=0.319259, epoch loss=1.621813
Batch=419, step=1620, lr=0.193500, batch loss=0.312583, epoch loss=1.934396
Batch=479, step=1680, lr=0.193250, batch loss=0.276775, epoch loss=2.211171
Batch=539, step=1740, lr=0.192750, batch loss=0.209515, epoch loss=2.420685
Batch=599, step=1800, lr=0.192750, batch loss=0.247611, epoch loss=2.668297
Batch=659, step=1860, lr=0.192500, batch loss=0.367044, epoch loss=3.035340
Batch=719, step=1920, lr=0.192250, batch loss=0.359198, epoch loss=3.394538
Batch=779, step=1980, lr=0.192000, batch loss=0.389444, epoch loss=3.783982
Batch=839, step=2040, lr=0.191750, batch loss=0.347149, epoch loss=4.131131
Batch=899, step=2100, lr=0.191500, batch loss=0.323321, epoch loss=4.454452
Batch=959, step=2160, lr=0.191250, batch loss=0.256509, epoch loss=4.710962
Batch=1019, step=2220, lr=0.191000, batch loss=0.391231, epoch loss=5.102193
Batch=1079, step=2280, lr=0.190750, batch loss=0.220116, epoch loss=5.322308
Batch=1139, step=2340, lr=0.190250, batch loss=0.265383, epoch loss=5.587692
Batch=1199, step=2400, lr=0.190250, batch loss=0.214232, epoch loss=5.801924
Epoch=1, step=2400, lr=0.190250, epoch loss=5.801924
Batch=59, step=2460, lr=0.190000, batch loss=0.230895, epoch loss=0.230895
Batch=119, step=2520, lr=0.189750, batch loss=0.190198, epoch loss=0.421092
Batch=179, step=2580, lr=0.189500, batch loss=0.221044, epoch loss=0.642137
Batch=239, step=2640, lr=0.189250, batch loss=0.330159, epoch loss=0.972295
Batch=299, step=2700, lr=0.189000, batch loss=0.206108, epoch loss=1.178403
Batch=359, step=2760, lr=0.188750, batch loss=0.290336, epoch loss=1.468739
Batch=419, step=2820, lr=0.188500, batch loss=0.282661, epoch loss=1.751400
Batch=479, step=2880, lr=0.188250, batch loss=0.254398, epoch loss=2.005799
Batch=539, step=2940, lr=0.188000, batch loss=0.193610, epoch loss=2.199408
Batch=599, step=3000, lr=0.187750, batch loss=0.228016, epoch loss=2.427425
Batch=659, step=3060, lr=0.187500, batch loss=0.339404, epoch loss=2.766828
Batch=719, step=3120, lr=0.187250, batch loss=0.332497, epoch loss=3.099325
Batch=779, step=3180, lr=0.187000, batch loss=0.355406, epoch loss=3.454731
Batch=839, step=3240, lr=0.186750, batch loss=0.329497, epoch loss=3.784228
Batch=899, step=3300, lr=0.186500, batch loss=0.303397, epoch loss=4.087625
Batch=959, step=3360, lr=0.186250, batch loss=0.241867, epoch loss=4.329492
Batch=1019, step=3420, lr=0.186000, batch loss=0.345903, epoch loss=4.675395
Batch=1079, step=3480, lr=0.185750, batch loss=0.225871, epoch loss=4.901265
Batch=1139, step=3540, lr=0.185500, batch loss=0.262446, epoch loss=5.163711
Batch=1199, step=3600, lr=0.185250, batch loss=0.200533, epoch loss=5.364245
Epoch=2, step=3600, lr=0.185250, epoch loss=5.364245
Batch=59, step=3660, lr=0.185000, batch loss=0.222850, epoch loss=0.222850
Batch=119, step=3720, lr=0.184750, batch loss=0.185676, epoch loss=0.408525
Batch=179, step=3780, lr=0.184500, batch loss=0.212901, epoch loss=0.621426
Batch=239, step=3840, lr=0.184250, batch loss=0.319174, epoch loss=0.940600
Batch=299, step=3900, lr=0.184000, batch loss=0.209739, epoch loss=1.150340
Batch=359, step=3960, lr=0.183750, batch loss=0.287395, epoch loss=1.437735
Batch=419, step=4020, lr=0.183250, batch loss=0.275574, epoch loss=1.713309
Batch=479, step=4080, lr=0.183250, batch loss=0.259736, epoch loss=1.973045
Batch=539, step=4140, lr=0.183000, batch loss=0.195754, epoch loss=2.168799
Batch=599, step=4200, lr=0.182750, batch loss=0.241419, epoch loss=2.410218
Batch=659, step=4260, lr=0.182500, batch loss=0.329707, epoch loss=2.739925
Batch=719, step=4320, lr=0.182250, batch loss=0.331115, epoch loss=3.071040
Batch=779, step=4380, lr=0.182000, batch loss=0.350583, epoch loss=3.421623
Batch=839, step=4440, lr=0.181500, batch loss=0.316869, epoch loss=3.738492
Batch=899, step=4500, lr=0.181250, batch loss=0.283177, epoch loss=4.021669
Batch=959, step=4560, lr=0.181250, batch loss=0.211830, epoch loss=4.233500
Batch=1019, step=4620, lr=0.181000, batch loss=0.313858, epoch loss=4.547358
Batch=1079, step=4680, lr=0.180750, batch loss=0.188137, epoch loss=4.735495
Batch=1139, step=4740, lr=0.180250, batch loss=0.225728, epoch loss=4.961223
Batch=1199, step=4800, lr=0.180250, batch loss=0.190733, epoch loss=5.151956
Epoch=3, step=4800, lr=0.180250, epoch loss=5.151956
Batch=59, step=4860, lr=0.180000, batch loss=0.222913, epoch loss=0.222913
Batch=119, step=4920, lr=0.179750, batch loss=0.187089, epoch loss=0.410002
Batch=179, step=4980, lr=0.179500, batch loss=0.205797, epoch loss=0.615799
Batch=239, step=5040, lr=0.179000, batch loss=0.307863, epoch loss=0.923662
Batch=299, step=5100, lr=0.178750, batch loss=0.197356, epoch loss=1.121018
Batch=359, step=5160, lr=0.178750, batch loss=0.275172, epoch loss=1.396190
Batch=419, step=5220, lr=0.178500, batch loss=0.269690, epoch loss=1.665880
Batch=479, step=5280, lr=0.178250, batch loss=0.254067, epoch loss=1.919946
Batch=539, step=5340, lr=0.178000, batch loss=0.192937, epoch loss=2.112884
Batch=599, step=5400, lr=0.177750, batch loss=0.230012, epoch loss=2.342895
Batch=659, step=5460, lr=0.177500, batch loss=0.326787, epoch loss=2.669682
Batch=719, step=5520, lr=0.177250, batch loss=0.334231, epoch loss=3.003913
Batch=779, step=5580, lr=0.177000, batch loss=0.344488, epoch loss=3.348401
Batch=839, step=5640, lr=0.176750, batch loss=0.310061, epoch loss=3.658462
Batch=899, step=5700, lr=0.176500, batch loss=0.272409, epoch loss=3.930871
Batch=959, step=5760, lr=0.176250, batch loss=0.217330, epoch loss=4.148201
Batch=1019, step=5820, lr=0.176000, batch loss=0.333907, epoch loss=4.482108
Batch=1079, step=5880, lr=0.175750, batch loss=0.192194, epoch loss=4.674302
Batch=1139, step=5940, lr=0.175500, batch loss=0.224227, epoch loss=4.898529
Batch=1199, step=6000, lr=0.175250, batch loss=0.189590, epoch loss=5.088119
Epoch=4, step=6000, lr=0.175250, epoch loss=5.088119
Batch=59, step=6060, lr=0.175000, batch loss=0.234559, epoch loss=0.234559
Batch=119, step=6120, lr=0.174750, batch loss=0.192219, epoch loss=0.426778
Batch=179, step=6180, lr=0.174500, batch loss=0.201690, epoch loss=0.628468
Batch=239, step=6240, lr=0.174250, batch loss=0.300000, epoch loss=0.928468
Batch=299, step=6300, lr=0.174000, batch loss=0.197730, epoch loss=1.126199
Batch=359, step=6360, lr=0.173750, batch loss=0.266157, epoch loss=1.392356
Batch=419, step=6420, lr=0.173500, batch loss=0.258499, epoch loss=1.650854
Batch=479, step=6480, lr=0.173250, batch loss=0.232367, epoch loss=1.883221
Batch=539, step=6540, lr=0.173000, batch loss=0.190084, epoch loss=2.073305
Batch=599, step=6600, lr=0.172750, batch loss=0.234110, epoch loss=2.307415
Batch=659, step=6660, lr=0.172500, batch loss=0.313467, epoch loss=2.620882
Batch=719, step=6720, lr=0.172250, batch loss=0.317636, epoch loss=2.938518
Batch=779, step=6780, lr=0.172000, batch loss=0.329101, epoch loss=3.267619
Batch=839, step=6840, lr=0.171750, batch loss=0.301965, epoch loss=3.569584
Batch=899, step=6900, lr=0.171500, batch loss=0.270548, epoch loss=3.840132
Batch=959, step=6960, lr=0.171250, batch loss=0.206273, epoch loss=4.046405
Batch=1019, step=7020, lr=0.171000, batch loss=0.332336, epoch loss=4.378741
Batch=1079, step=7080, lr=0.170750, batch loss=0.195545, epoch loss=4.574286
Batch=1139, step=7140, lr=0.170500, batch loss=0.232248, epoch loss=4.806534
Batch=1199, step=7200, lr=0.170250, batch loss=0.181008, epoch loss=4.987542
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987542
Batch=59, step=7260, lr=0.170000, batch loss=0.221120, epoch loss=0.221120
Batch=119, step=7320, lr=0.169750, batch loss=0.179587, epoch loss=0.400707
Batch=179, step=7380, lr=0.169500, batch loss=0.195763, epoch loss=0.596470
Batch=239, step=7440, lr=0.169250, batch loss=0.292346, epoch loss=0.888816
Batch=299, step=7500, lr=0.169000, batch loss=0.199072, epoch loss=1.087888
Batch=359, step=7560, lr=0.168750, batch loss=0.260521, epoch loss=1.348410
Batch=419, step=7620, lr=0.168500, batch loss=0.255738, epoch loss=1.604148
Batch=479, step=7680, lr=0.168250, batch loss=0.238207, epoch loss=1.842355
Batch=539, step=7740, lr=0.168000, batch loss=0.186888, epoch loss=2.029243
Batch=599, step=7800, lr=0.167750, batch loss=0.227009, epoch loss=2.256252
Batch=659, step=7860, lr=0.167500, batch loss=0.306386, epoch loss=2.562638
Batch=719, step=7920, lr=0.167250, batch loss=0.308906, epoch loss=2.871544
Batch=779, step=7980, lr=0.167000, batch loss=0.331352, epoch loss=3.202896
Batch=839, step=8040, lr=0.166750, batch loss=0.292142, epoch loss=3.495038
Batch=899, step=8100, lr=0.166500, batch loss=0.263021, epoch loss=3.758059
Batch=959, step=8160, lr=0.166250, batch loss=0.197838, epoch loss=3.955897
Batch=1019, step=8220, lr=0.166000, batch loss=0.322373, epoch loss=4.278270
Batch=1079, step=8280, lr=0.165750, batch loss=0.180055, epoch loss=4.458325
Batch=1139, step=8340, lr=0.165500, batch loss=0.211484, epoch loss=4.669808
Batch=1199, step=8400, lr=0.165250, batch loss=0.180356, epoch loss=4.850165
Epoch=6, step=8400, lr=0.165250, epoch loss=4.850165
Batch=59, step=8460, lr=0.165000, batch loss=0.226346, epoch loss=0.226346
Batch=119, step=8520, lr=0.164750, batch loss=0.177050, epoch loss=0.403396
Batch=179, step=8580, lr=0.164250, batch loss=0.189125, epoch loss=0.592521
Batch=239, step=8640, lr=0.164000, batch loss=0.278557, epoch loss=0.871078
Batch=299, step=8700, lr=0.163750, batch loss=0.194537, epoch loss=1.065614
Batch=359, step=8760, lr=0.163750, batch loss=0.254789, epoch loss=1.320404
Batch=419, step=8820, lr=0.163500, batch loss=0.246388, epoch loss=1.566792
Batch=479, step=8880, lr=0.163250, batch loss=0.229247, epoch loss=1.796039
Batch=539, step=8940, lr=0.163000, batch loss=0.178937, epoch loss=1.974976
Batch=599, step=9000, lr=0.162750, batch loss=0.218270, epoch loss=2.193246
Batch=659, step=9060, lr=0.162500, batch loss=0.295611, epoch loss=2.488857
Batch=719, step=9120, lr=0.162250, batch loss=0.295819, epoch loss=2.784676
Batch=779, step=9180, lr=0.162000, batch loss=0.316946, epoch loss=3.101622
Batch=839, step=9240, lr=0.161500, batch loss=0.287867, epoch loss=3.389489
Batch=899, step=9300, lr=0.161500, batch loss=0.251784, epoch loss=3.641273
Batch=959, step=9360, lr=0.161250, batch loss=0.190255, epoch loss=3.831528
Batch=1019, step=9420, lr=0.161000, batch loss=0.317145, epoch loss=4.148673
Batch=1079, step=9480, lr=0.160750, batch loss=0.187867, epoch loss=4.336540
Batch=1139, step=9540, lr=0.160500, batch loss=0.213433, epoch loss=4.549973
Batch=1199, step=9600, lr=0.160250, batch loss=0.168112, epoch loss=4.718085
Epoch=7, step=9600, lr=0.160250, epoch loss=4.718085
Batch=59, step=9660, lr=0.159750, batch loss=0.199461, epoch loss=0.199461
Batch=119, step=9720, lr=0.159500, batch loss=0.164863, epoch loss=0.364324
Batch=179, step=9780, lr=0.159250, batch loss=0.178882, epoch loss=0.543206
Batch=239, step=9840, lr=0.159250, batch loss=0.262530, epoch loss=0.805735
Batch=299, step=9900, lr=0.159000, batch loss=0.184437, epoch loss=0.990172
Batch=359, step=9960, lr=0.158750, batch loss=0.242014, epoch loss=1.232186
Batch=419, step=10020, lr=0.158500, batch loss=0.233942, epoch loss=1.466128
Batch=479, step=10080, lr=0.158250, batch loss=0.214781, epoch loss=1.680909
Batch=539, step=10140, lr=0.157750, batch loss=0.172772, epoch loss=1.853681
Batch=599, step=10200, lr=0.157750, batch loss=0.202534, epoch loss=2.056216
Batch=659, step=10260, lr=0.157500, batch loss=0.283505, epoch loss=2.339721
Batch=719, step=10320, lr=0.157250, batch loss=0.283949, epoch loss=2.623671
Batch=779, step=10380, lr=0.157000, batch loss=0.296629, epoch loss=2.920300
Batch=839, step=10440, lr=0.156750, batch loss=0.272667, epoch loss=3.192967
Batch=899, step=10500, lr=0.156500, batch loss=0.237513, epoch loss=3.430480
Batch=959, step=10560, lr=0.156250, batch loss=0.180194, epoch loss=3.610673
Batch=1019, step=10620, lr=0.156000, batch loss=0.298086, epoch loss=3.908760
Batch=1079, step=10680, lr=0.155750, batch loss=0.178534, epoch loss=4.087294
Batch=1139, step=10740, lr=0.155500, batch loss=0.199570, epoch loss=4.286864
Batch=1199, step=10800, lr=0.155250, batch loss=0.155343, epoch loss=4.442207
Epoch=8, step=10800, lr=0.155250, epoch loss=4.442207
Batch=59, step=10860, lr=0.155000, batch loss=0.178893, epoch loss=0.178893
Batch=119, step=10920, lr=0.154750, batch loss=0.152818, epoch loss=0.331711
Batch=179, step=10980, lr=0.154500, batch loss=0.167217, epoch loss=0.498928
Batch=239, step=11040, lr=0.154250, batch loss=0.248309, epoch loss=0.747236
Batch=299, step=11100, lr=0.154000, batch loss=0.160399, epoch loss=0.907636
Batch=359, step=11160, lr=0.153750, batch loss=0.213028, epoch loss=1.120663
Batch=419, step=11220, lr=0.153500, batch loss=0.207048, epoch loss=1.327711
Batch=479, step=11280, lr=0.153250, batch loss=0.184868, epoch loss=1.512579
Batch=539, step=11340, lr=0.153000, batch loss=0.153687, epoch loss=1.666266
Batch=599, step=11400, lr=0.152750, batch loss=0.180584, epoch loss=1.846849
Batch=659, step=11460, lr=0.152500, batch loss=0.264195, epoch loss=2.111045
Batch=719, step=11520, lr=0.152250, batch loss=0.257658, epoch loss=2.368702
Batch=779, step=11580, lr=0.152000, batch loss=0.272276, epoch loss=2.640979
Batch=839, step=11640, lr=0.151750, batch loss=0.250085, epoch loss=2.891064
Batch=899, step=11700, lr=0.151500, batch loss=0.219236, epoch loss=3.110299
Batch=959, step=11760, lr=0.151250, batch loss=0.189494, epoch loss=3.299793
Batch=1019, step=11820, lr=0.151000, batch loss=0.275833, epoch loss=3.575626
Batch=1079, step=11880, lr=0.150750, batch loss=0.153373, epoch loss=3.728999
Batch=1139, step=11940, lr=0.150500, batch loss=0.188095, epoch loss=3.917094
Batch=1199, step=12000, lr=0.150250, batch loss=0.140657, epoch loss=4.057751
Epoch=9, step=12000, lr=0.150250, epoch loss=4.057751
Batch=59, step=12060, lr=0.150000, batch loss=0.161593, epoch loss=0.161593
Batch=119, step=12120, lr=0.149750, batch loss=0.137768, epoch loss=0.299360
Batch=179, step=12180, lr=0.149500, batch loss=0.151377, epoch loss=0.450737
Batch=239, step=12240, lr=0.149250, batch loss=0.218504, epoch loss=0.669241
Batch=299, step=12300, lr=0.149000, batch loss=0.146045, epoch loss=0.815287
Batch=359, step=12360, lr=0.148750, batch loss=0.195545, epoch loss=1.010832
Batch=419, step=12420, lr=0.148500, batch loss=0.193853, epoch loss=1.204685
Batch=479, step=12480, lr=0.148250, batch loss=0.182968, epoch loss=1.387653
Batch=539, step=12540, lr=0.148000, batch loss=0.141166, epoch loss=1.528819
Batch=599, step=12600, lr=0.147750, batch loss=0.151910, epoch loss=1.680729
Batch=659, step=12660, lr=0.147500, batch loss=0.232130, epoch loss=1.912859
Batch=719, step=12720, lr=0.147250, batch loss=0.234924, epoch loss=2.147783
Batch=779, step=12780, lr=0.147000, batch loss=0.258489, epoch loss=2.406272
Batch=839, step=12840, lr=0.146750, batch loss=0.238902, epoch loss=2.645174
Batch=899, step=12900, lr=0.146500, batch loss=0.233152, epoch loss=2.878326
Batch=959, step=12960, lr=0.146250, batch loss=0.139708, epoch loss=3.018034
Batch=1019, step=13020, lr=0.146000, batch loss=0.213748, epoch loss=3.231782
Batch=1079, step=13080, lr=0.145750, batch loss=0.118036, epoch loss=3.349818
Batch=1139, step=13140, lr=0.145500, batch loss=0.153346, epoch loss=3.503164
Batch=1199, step=13200, lr=0.145250, batch loss=0.116961, epoch loss=3.620126
Epoch=10, step=13200, lr=0.145250, epoch loss=3.620126
Batch=59, step=13260, lr=0.145000, batch loss=0.140843, epoch loss=0.140843
Batch=119, step=13320, lr=0.144750, batch loss=0.122848, epoch loss=0.263692
Batch=179, step=13380, lr=0.144500, batch loss=0.128684, epoch loss=0.392376
Batch=239, step=13440, lr=0.144250, batch loss=0.187966, epoch loss=0.580342
Batch=299, step=13500, lr=0.144000, batch loss=0.116653, epoch loss=0.696995
Batch=359, step=13560, lr=0.143750, batch loss=0.161284, epoch loss=0.858279
Batch=419, step=13620, lr=0.143500, batch loss=0.161644, epoch loss=1.019923
Batch=479, step=13680, lr=0.143250, batch loss=0.149920, epoch loss=1.169842
Batch=539, step=13740, lr=0.143000, batch loss=0.119676, epoch loss=1.289518
Batch=599, step=13800, lr=0.142750, batch loss=0.122557, epoch loss=1.412076
Batch=659, step=13860, lr=0.142500, batch loss=0.187691, epoch loss=1.599767
Batch=719, step=13920, lr=0.142250, batch loss=0.215946, epoch loss=1.815713
Batch=779, step=13980, lr=0.142000, batch loss=0.256141, epoch loss=2.071854
Batch=839, step=14040, lr=0.141750, batch loss=0.189195, epoch loss=2.261049
Batch=899, step=14100, lr=0.141500, batch loss=0.163801, epoch loss=2.424850
Batch=959, step=14160, lr=0.141250, batch loss=0.144164, epoch loss=2.569015
Batch=1019, step=14220, lr=0.141000, batch loss=0.285848, epoch loss=2.854862
Batch=1079, step=14280, lr=0.140750, batch loss=0.079596, epoch loss=2.934459
Batch=1139, step=14340, lr=0.140500, batch loss=0.123161, epoch loss=3.057620
Batch=1199, step=14400, lr=0.140250, batch loss=0.091301, epoch loss=3.148921
Epoch=11, step=14400, lr=0.140250, epoch loss=3.148921
Batch=59, step=14460, lr=0.140000, batch loss=0.115466, epoch loss=0.115466
Batch=119, step=14520, lr=0.139750, batch loss=0.110583, epoch loss=0.226049
Batch=179, step=14580, lr=0.139500, batch loss=0.107137, epoch loss=0.333186
Batch=239, step=14640, lr=0.139250, batch loss=0.142689, epoch loss=0.475875
Batch=299, step=14700, lr=0.138750, batch loss=0.083231, epoch loss=0.559106
Batch=359, step=14760, lr=0.138750, batch loss=0.122702, epoch loss=0.681808
Batch=419, step=14820, lr=0.138500, batch loss=0.128033, epoch loss=0.809841
Batch=479, step=14880, lr=0.138250, batch loss=0.105460, epoch loss=0.915301
Batch=539, step=14940, lr=0.138000, batch loss=0.105794, epoch loss=1.021094
Batch=599, step=15000, lr=0.137750, batch loss=0.086626, epoch loss=1.107720
Batch=659, step=15060, lr=0.137500, batch loss=0.130917, epoch loss=1.238637
Batch=719, step=15120, lr=0.137250, batch loss=0.121335, epoch loss=1.359973
Batch=779, step=15180, lr=0.137000, batch loss=0.125869, epoch loss=1.485842
Batch=839, step=15240, lr=0.136750, batch loss=0.157576, epoch loss=1.643418
Batch=899, step=15300, lr=0.136500, batch loss=0.232466, epoch loss=1.875884
Batch=959, step=15360, lr=0.136250, batch loss=0.055954, epoch loss=1.931838
Batch=1019, step=15420, lr=0.135750, batch loss=0.137981, epoch loss=2.069820
Batch=1079, step=15480, lr=0.135750, batch loss=0.055315, epoch loss=2.125135
Batch=1139, step=15540, lr=0.135500, batch loss=0.114398, epoch loss=2.239533
Batch=1199, step=15600, lr=0.135250, batch loss=0.057309, epoch loss=2.296842
Epoch=12, step=15600, lr=0.135250, epoch loss=2.296842
Batch=59, step=15660, lr=0.135000, batch loss=0.083475, epoch loss=0.083475
Batch=119, step=15720, lr=0.134750, batch loss=0.131822, epoch loss=0.215297
Batch=179, step=15780, lr=0.134500, batch loss=0.096387, epoch loss=0.311683
Batch=239, step=15840, lr=0.134250, batch loss=0.096847, epoch loss=0.408530
Batch=299, step=15900, lr=0.134000, batch loss=0.040403, epoch loss=0.448934
Batch=359, step=15960, lr=0.133750, batch loss=0.082391, epoch loss=0.531325
Batch=419, step=16020, lr=0.133500, batch loss=0.081266, epoch loss=0.612591
Batch=479, step=16080, lr=0.133250, batch loss=0.066781, epoch loss=0.679372
Batch=539, step=16140, lr=0.133000, batch loss=0.056272, epoch loss=0.735644
Batch=599, step=16200, lr=0.132750, batch loss=0.104838, epoch loss=0.840482
Batch=659, step=16260, lr=0.132500, batch loss=0.079133, epoch loss=0.919615
Batch=719, step=16320, lr=0.132250, batch loss=0.089029, epoch loss=1.008644
Batch=779, step=16380, lr=0.132000, batch loss=0.130106, epoch loss=1.138750
Batch=839, step=16440, lr=0.131750, batch loss=0.127057, epoch loss=1.265807
Batch=899, step=16500, lr=0.131500, batch loss=0.149798, epoch loss=1.415605
Batch=959, step=16560, lr=0.131250, batch loss=0.034684, epoch loss=1.450289
Batch=1019, step=16620, lr=0.131000, batch loss=0.085228, epoch loss=1.535517
Batch=1079, step=16680, lr=0.130750, batch loss=0.038462, epoch loss=1.573979
Batch=1139, step=16740, lr=0.130500, batch loss=0.081457, epoch loss=1.655437
Batch=1199, step=16800, lr=0.130250, batch loss=0.038099, epoch loss=1.693536
Epoch=13, step=16800, lr=0.130250, epoch loss=1.693536
Batch=59, step=16860, lr=0.130000, batch loss=0.035603, epoch loss=0.035603
Batch=119, step=16920, lr=0.129750, batch loss=0.034541, epoch loss=0.070145
Batch=179, step=16980, lr=0.129500, batch loss=0.042303, epoch loss=0.112447
Batch=239, step=17040, lr=0.129250, batch loss=0.056153, epoch loss=0.168600
Batch=299, step=17100, lr=0.129000, batch loss=0.020481, epoch loss=0.189081
Batch=359, step=17160, lr=0.128750, batch loss=0.042484, epoch loss=0.231565
Batch=419, step=17220, lr=0.128500, batch loss=0.044621, epoch loss=0.276186
Batch=479, step=17280, lr=0.128250, batch loss=0.023188, epoch loss=0.299375
Batch=539, step=17340, lr=0.128000, batch loss=0.027648, epoch loss=0.327023
Batch=599, step=17400, lr=0.127750, batch loss=0.040253, epoch loss=0.367275
Batch=659, step=17460, lr=0.127500, batch loss=0.055460, epoch loss=0.422736
Batch=719, step=17520, lr=0.127250, batch loss=0.079748, epoch loss=0.502484
Batch=779, step=17580, lr=0.127000, batch loss=0.068011, epoch loss=0.570495
Batch=839, step=17640, lr=0.126750, batch loss=0.100813, epoch loss=0.671308
Batch=899, step=17700, lr=0.126500, batch loss=0.051284, epoch loss=0.722591
Batch=959, step=17760, lr=0.126250, batch loss=0.017585, epoch loss=0.740177
Batch=1019, step=17820, lr=0.126000, batch loss=0.025799, epoch loss=0.765976
Batch=1079, step=17880, lr=0.125750, batch loss=0.029201, epoch loss=0.795177
Batch=1139, step=17940, lr=0.125500, batch loss=0.076369, epoch loss=0.871546
Batch=1199, step=18000, lr=0.125250, batch loss=0.021840, epoch loss=0.893386
Epoch=14, step=18000, lr=0.125250, epoch loss=0.893386
Batch=59, step=18060, lr=0.125000, batch loss=0.016089, epoch loss=0.016089
Batch=119, step=18120, lr=0.124750, batch loss=0.018749, epoch loss=0.034838
Batch=179, step=18180, lr=0.124500, batch loss=0.030488, epoch loss=0.065326
Batch=239, step=18240, lr=0.124250, batch loss=0.036431, epoch loss=0.101757
Batch=299, step=18300, lr=0.124000, batch loss=0.010099, epoch loss=0.111855
Batch=359, step=18360, lr=0.123750, batch loss=0.023060, epoch loss=0.134915
Batch=419, step=18420, lr=0.123500, batch loss=0.028421, epoch loss=0.163336
Batch=479, step=18480, lr=0.123250, batch loss=0.025064, epoch loss=0.188400
Batch=539, step=18540, lr=0.123000, batch loss=0.055308, epoch loss=0.243708
Batch=599, step=18600, lr=0.122500, batch loss=0.026785, epoch loss=0.270493
Batch=659, step=18660, lr=0.122250, batch loss=0.031625, epoch loss=0.302118
Batch=719, step=18720, lr=0.122250, batch loss=0.042027, epoch loss=0.344145
Batch=779, step=18780, lr=0.122000, batch loss=0.128458, epoch loss=0.472604
Batch=839, step=18840, lr=0.121750, batch loss=0.059371, epoch loss=0.531974
Batch=899, step=18900, lr=0.121500, batch loss=0.076409, epoch loss=0.608383
Batch=959, step=18960, lr=0.121250, batch loss=0.014288, epoch loss=0.622671
Batch=1019, step=19020, lr=0.121000, batch loss=0.022247, epoch loss=0.644918
Batch=1079, step=19080, lr=0.120750, batch loss=0.008667, epoch loss=0.653585
Batch=1139, step=19140, lr=0.120500, batch loss=0.024214, epoch loss=0.677798
Batch=1199, step=19200, lr=0.120250, batch loss=0.009968, epoch loss=0.687766
Epoch=15, step=19200, lr=0.120250, epoch loss=0.687766
Batch=59, step=19260, lr=0.120000, batch loss=0.004765, epoch loss=0.004765
Batch=119, step=19320, lr=0.119750, batch loss=0.020345, epoch loss=0.025109
Batch=179, step=19380, lr=0.119500, batch loss=0.054714, epoch loss=0.079823
Batch=239, step=19440, lr=0.119250, batch loss=0.025458, epoch loss=0.105281
Batch=299, step=19500, lr=0.119000, batch loss=0.014753, epoch loss=0.120034
Batch=359, step=19560, lr=0.118750, batch loss=0.036626, epoch loss=0.156660
Batch=419, step=19620, lr=0.118500, batch loss=0.021462, epoch loss=0.178122
Batch=479, step=19680, lr=0.118250, batch loss=0.007124, epoch loss=0.185246
Batch=539, step=19740, lr=0.118000, batch loss=0.018582, epoch loss=0.203828
Batch=599, step=19800, lr=0.117750, batch loss=0.021481, epoch loss=0.225309
Batch=659, step=19860, lr=0.117500, batch loss=0.018798, epoch loss=0.244107
Batch=719, step=19920, lr=0.117250, batch loss=0.036635, epoch loss=0.280742
Batch=779, step=19980, lr=0.117000, batch loss=0.084255, epoch loss=0.364997
Batch=839, step=20040, lr=0.116750, batch loss=0.031475, epoch loss=0.396472
Batch=899, step=20100, lr=0.116500, batch loss=0.033556, epoch loss=0.430028
Batch=959, step=20160, lr=0.116250, batch loss=0.011116, epoch loss=0.441144
Batch=1019, step=20220, lr=0.116000, batch loss=0.015101, epoch loss=0.456245
Batch=1079, step=20280, lr=0.115750, batch loss=0.002320, epoch loss=0.458565
Batch=1139, step=20340, lr=0.115500, batch loss=0.014880, epoch loss=0.473445
Batch=1199, step=20400, lr=0.115250, batch loss=0.007165, epoch loss=0.480610
Epoch=16, step=20400, lr=0.115250, epoch loss=0.480610
Batch=59, step=20460, lr=0.114750, batch loss=0.003225, epoch loss=0.003225
Batch=119, step=20520, lr=0.114750, batch loss=0.008895, epoch loss=0.012120
Batch=179, step=20580, lr=0.114250, batch loss=0.020472, epoch loss=0.032592
Batch=239, step=20640, lr=0.114250, batch loss=0.020162, epoch loss=0.052754
Batch=299, step=20700, lr=0.114000, batch loss=0.010517, epoch loss=0.063271
Batch=359, step=20760, lr=0.113750, batch loss=0.014881, epoch loss=0.078151
Batch=419, step=20820, lr=0.113500, batch loss=0.014913, epoch loss=0.093064
Batch=479, step=20880, lr=0.113250, batch loss=0.003826, epoch loss=0.096890
Batch=539, step=20940, lr=0.113000, batch loss=0.018372, epoch loss=0.115261
Batch=599, step=21000, lr=0.112750, batch loss=0.021393, epoch loss=0.136654
Batch=659, step=21060, lr=0.112500, batch loss=0.014714, epoch loss=0.151369
Batch=719, step=21120, lr=0.112250, batch loss=0.042135, epoch loss=0.193504
Batch=779, step=21180, lr=0.112000, batch loss=0.072617, epoch loss=0.266121
Batch=839, step=21240, lr=0.111750, batch loss=0.025442, epoch loss=0.291563
Batch=899, step=21300, lr=0.111500, batch loss=0.027886, epoch loss=0.319449
Batch=959, step=21360, lr=0.111250, batch loss=0.010225, epoch loss=0.329674
Batch=1019, step=21420, lr=0.111000, batch loss=0.010795, epoch loss=0.340468
Batch=1079, step=21480, lr=0.110750, batch loss=0.001778, epoch loss=0.342246
Batch=1139, step=21540, lr=0.110500, batch loss=0.013064, epoch loss=0.355310
Batch=1199, step=21600, lr=0.110250, batch loss=0.005268, epoch loss=0.360578
Epoch=17, step=21600, lr=0.110250, epoch loss=0.360578
Batch=59, step=21660, lr=0.110000, batch loss=0.002719, epoch loss=0.002719
Batch=119, step=21720, lr=0.109750, batch loss=0.006730, epoch loss=0.009449
Batch=179, step=21780, lr=0.109500, batch loss=0.012400, epoch loss=0.021849
Batch=239, step=21840, lr=0.109250, batch loss=0.009358, epoch loss=0.031207
Batch=299, step=21900, lr=0.109000, batch loss=0.007829, epoch loss=0.039036
Batch=359, step=21960, lr=0.108750, batch loss=0.013665, epoch loss=0.052701
Batch=419, step=22020, lr=0.108500, batch loss=0.012948, epoch loss=0.065650
Batch=479, step=22080, lr=0.108250, batch loss=0.003047, epoch loss=0.068697
Batch=539, step=22140, lr=0.108000, batch loss=0.016850, epoch loss=0.085547
Batch=599, step=22200, lr=0.107750, batch loss=0.015632, epoch loss=0.101179
Batch=659, step=22260, lr=0.107500, batch loss=0.011377, epoch loss=0.112556
Batch=719, step=22320, lr=0.107250, batch loss=0.016775, epoch loss=0.129331
Batch=779, step=22380, lr=0.107000, batch loss=0.024009, epoch loss=0.153340
Batch=839, step=22440, lr=0.106750, batch loss=0.026501, epoch loss=0.179841
Batch=899, step=22500, lr=0.106500, batch loss=0.025853, epoch loss=0.205694
Batch=959, step=22560, lr=0.106250, batch loss=0.008928, epoch loss=0.214623
Batch=1019, step=22620, lr=0.106000, batch loss=0.008810, epoch loss=0.223432
Batch=1079, step=22680, lr=0.105750, batch loss=0.001025, epoch loss=0.224458
Batch=1139, step=22740, lr=0.105500, batch loss=0.010171, epoch loss=0.234629
Batch=1199, step=22800, lr=0.105250, batch loss=0.005007, epoch loss=0.239636
Epoch=18, step=22800, lr=0.105250, epoch loss=0.239636
Batch=59, step=22860, lr=0.105000, batch loss=0.002135, epoch loss=0.002135
Batch=119, step=22920, lr=0.104750, batch loss=0.005465, epoch loss=0.007600
Batch=179, step=22980, lr=0.104500, batch loss=0.010941, epoch loss=0.018541
Batch=239, step=23040, lr=0.104250, batch loss=0.008925, epoch loss=0.027466
Batch=299, step=23100, lr=0.104000, batch loss=0.008562, epoch loss=0.036028
Batch=359, step=23160, lr=0.103500, batch loss=0.013405, epoch loss=0.049433
Batch=419, step=23220, lr=0.103500, batch loss=0.011232, epoch loss=0.060665
Batch=479, step=23280, lr=0.103250, batch loss=0.004018, epoch loss=0.064683
Batch=539, step=23340, lr=0.103000, batch loss=0.014151, epoch loss=0.078834
Batch=599, step=23400, lr=0.102750, batch loss=0.014782, epoch loss=0.093617
Batch=659, step=23460, lr=0.102500, batch loss=0.015224, epoch loss=0.108841
Batch=719, step=23520, lr=0.102000, batch loss=0.018426, epoch loss=0.127267
Batch=779, step=23580, lr=0.102000, batch loss=0.020379, epoch loss=0.147645
Batch=839, step=23640, lr=0.101750, batch loss=0.026955, epoch loss=0.174600
Batch=899, step=23700, lr=0.101500, batch loss=0.022040, epoch loss=0.196640
Batch=959, step=23760, lr=0.101250, batch loss=0.007954, epoch loss=0.204594
Batch=1019, step=23820, lr=0.101000, batch loss=0.008449, epoch loss=0.213043
Batch=1079, step=23880, lr=0.100750, batch loss=0.001349, epoch loss=0.214392
Batch=1139, step=23940, lr=0.100500, batch loss=0.008514, epoch loss=0.222907
Batch=1199, step=24000, lr=0.100250, batch loss=0.004643, epoch loss=0.227550
Epoch=19, step=24000, lr=0.100250, epoch loss=0.227550


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
2025-05-15 20:41.53: Job failed: Failed: Build failed