Getting StartedDocumentation
Organisationsahrefsocannl9156a2 ()fedora-41-5.3_opam-2.3

fedora-41-5.3_opam-2.3

Link Copied
Code Copied

Logs

Show raw logs
2025-05-15 13:37.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (9156a204994bc18bf1bb375e2a01c887bd47fc08) (linux-x86_64:fedora-41-5.3_opam-2.3)
Base: ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 9156a204
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992
# fedora-41-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo dnf install -y findutils
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-05-15 13:37.49: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992-fedora-41-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-15 13:37.49: Using OBuilder spec:
((from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992)
(comment fedora-41-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (network host)
(shell "sudo dnf install -y findutils"))
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 pprint.20230830 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-05-15 13:37.49: Waiting for resource in pool OCluster
2025-05-15 13:37.50: Waiting for worker…
2025-05-15 13:48.35: Got resource from pool OCluster
Building on laodoke.caelum.ci.dev
All commits already cached
HEAD is now at 9156a204 Logging test harness


(from ocaml/opam:fedora-41-ocaml-5.3@sha256:abc80c782e7acbd09ffd49defcb056c2fc402593e57bcb537add09330e2c3992)
2025-05-15 13:49.53 ---> saved as "da0437edefc3074e740b2380711421a58ad6af000252c27345a9c063faf0cc10"


/: (comment fedora-41-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (network host)
(shell "sudo dnf install -y findutils"))
Updating and loading repositories:
Fedora 41 - x86_64                     100% | 179.9 KiB/s |  25.4 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% | 174.2 KiB/s |  23.3 KiB |  00m00s
Fedora 41 - x86_64 - Updates           100% |   3.6 MiB/s |   4.5 MiB |  00m01s
Repositories loaded.
Package "findutils-1:4.10.0-4.fc41.x86_64" is already installed.


Nothing to do.
2025-05-15 13:50.03 ---> saved as "cda621b93ea4e5bc7b2f3a44f5472568fa9069c819fc4f9ee4dba7021db6599e"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-15 13:50.03 ---> saved as "00fdc0066ab5f68afc204c28620b3ce62c27dda0ac3863d3d421d30b1e5a7121"


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


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


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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-15 13:50.53 ---> saved as "e4c6ec45de15317b19a5e44e28bcb7589e585c58ff662e7c78b23377170afeeb"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-139-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-15 13:50.54 ---> saved as "21404f6f0f15670f1371a8655b67d83eca7d3eb1d65bed293fe562e27fca1e04"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-15 13:50.54 ---> saved as "e6db08cef467f22bc6d82a42d4d4c7d0ba62091bad93cb74af70b44a2974850b"


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


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-05-15 13:51.21 ---> saved as "4c19da8679e26309bf67db49e7c9acdc2be215555121f43d37fc7b759c9e0d97"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-15 13:51.21 ---> saved as "b959751774b96fd56fa07ab914c7f680d6f2ab5d253b3cbc00f44b29e874cafd"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-15 13:51.24 ---> saved as "4ca4f49c33a1b0f1908081cd6002f466c742fe740b8865fdd9560c0d54b62162"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-15 13:51.24 ---> saved as "45e1ac33b7920d781d1beb4d6f77c9934823b68dbecf868e72ec27d1816c58dd"


/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 "yum" "makecache"
- Updating and loading repositories:
- Repositories loaded.
- Metadata cache created.


<><> 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-devel


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


+ /usr/bin/sudo "yum" "install" "-y" "libffi-devel"
- Updating and loading repositories:
- Repositories loaded.
- Package       Arch   Version      Repository      Size
- Installing:
-  libffi-devel x86_64 3.4.6-3.fc41 fedora      33.1 KiB
- 
- Transaction Summary:
-  Installing:         1 package
- 
- Total size of inbound packages is 29 KiB. Need to download 29 KiB.
- After this operation, 33 KiB extra will be used (install 33 KiB, remove 0 B).
- [1/1] libffi-devel-0:3.4.6-3.fc41.x86_6 100% |  82.9 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% |  51.9 KiB/s |  28.8 KiB |  00m01s
- Running transaction
- [1/3] Verify package files              100% |   0.0   B/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  38.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-3 100% | 561.2 KiB/s |  34.8 KiB |  00m00s
- Complete!
+ /usr/bin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.6-3.fc41.x86_64
2025-05-15 13:51.40 ---> saved as "349c1144ddb0583a3e4bb1deca46d3c27799266a7c80db19e092a35bf98e62fd"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved pprint.20230830  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.2.0  (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)
-> 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 ppxlib.0.35.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed pprint.20230830
-> installed printbox.0.12
-> installed result.1.5
-> installed cppo.1.8.0
-> installed sexplib0.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed stdlib-shims.0.3.0
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed thread-local-storage.0.2
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed mdx.2.5.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed ctypes-foreign.0.23.0
-> installed base.v0.17.2
-> installed printbox-text.0.12
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed printbox-md.0.12
-> installed stdio.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-15 13:54.41 ---> saved as "8f00669c7bcb55e73e951a9bba5765c17824ee4b0d5ba959aea8f3744eaf5178"


/src: (copy (src .) (dst /src))
2025-05-15 13:54.42 ---> saved as "95757ad534f86ed3ae408009ba152a702cc7a3f62a2dd6775676b9fda22f6d4e"


/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/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/199d37a672b6b91c42d74d288c7c4109/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/61b3af6fa05c49a14dfcb2fbde1db0fc/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/61b3af6fa05c49a14dfcb2fbde1db0fc/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.198750, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198500, batch loss=1.327597, epoch loss=38.399812
Batch=419, step=420, lr=0.198500, batch loss=0.619133, epoch loss=39.018945
Batch=479, step=480, lr=0.198250, batch loss=0.821855, epoch loss=39.840800
Batch=539, step=540, lr=0.198000, batch loss=0.691516, epoch loss=40.532316
Batch=599, step=600, lr=0.197750, batch loss=1.063752, epoch loss=41.596068
Batch=659, step=660, lr=0.197500, batch loss=0.483520, epoch loss=42.079588
Batch=719, step=720, lr=0.197000, batch loss=0.411395, epoch loss=42.490983
Batch=779, step=780, lr=0.197000, batch loss=0.470204, epoch loss=42.961187
Batch=839, step=840, lr=0.196750, batch loss=0.446811, epoch loss=43.407998
Batch=899, step=900, lr=0.196500, batch loss=0.382839, epoch loss=43.790837
Batch=959, step=960, lr=0.196250, batch loss=0.245217, epoch loss=44.036055
Batch=1019, step=1020, lr=0.196000, batch loss=0.466662, epoch loss=44.502717
Batch=1079, step=1080, lr=0.195750, batch loss=0.248874, epoch loss=44.751591
Batch=1139, step=1140, lr=0.195500, batch loss=0.317560, epoch loss=45.069151
Batch=1199, step=1200, lr=0.195250, batch loss=0.263809, epoch loss=45.332960
Epoch=0, step=1200, lr=0.195250, epoch loss=45.332960
Batch=59, step=1260, lr=0.195000, batch loss=0.262249, epoch loss=0.262249
Batch=119, step=1320, lr=0.194750, batch loss=0.205240, epoch loss=0.467489
Batch=179, step=1380, lr=0.194500, batch loss=0.243631, epoch loss=0.711119
Batch=239, step=1440, lr=0.194250, batch loss=0.347903, epoch loss=1.059022
Batch=299, step=1500, lr=0.194000, batch loss=0.247377, epoch loss=1.306398
Batch=359, step=1560, lr=0.193750, batch loss=0.316587, epoch loss=1.622985
Batch=419, step=1620, lr=0.193500, batch loss=0.312719, epoch loss=1.935704
Batch=479, step=1680, lr=0.193250, batch loss=0.276302, epoch loss=2.212007
Batch=539, step=1740, lr=0.193000, batch loss=0.209840, epoch loss=2.421846
Batch=599, step=1800, lr=0.192750, batch loss=0.250442, epoch loss=2.672288
Batch=659, step=1860, lr=0.192500, batch loss=0.367180, epoch loss=3.039468
Batch=719, step=1920, lr=0.192250, batch loss=0.354920, epoch loss=3.394387
Batch=779, step=1980, lr=0.192000, batch loss=0.381361, epoch loss=3.775748
Batch=839, step=2040, lr=0.191750, batch loss=0.339654, epoch loss=4.115402
Batch=899, step=2100, lr=0.191500, batch loss=0.295280, epoch loss=4.410682
Batch=959, step=2160, lr=0.191250, batch loss=0.214054, epoch loss=4.624736
Batch=1019, step=2220, lr=0.191000, batch loss=0.330953, epoch loss=4.955689
Batch=1079, step=2280, lr=0.190750, batch loss=0.208320, epoch loss=5.164008
Batch=1139, step=2340, lr=0.190500, batch loss=0.278387, epoch loss=5.442396
Batch=1199, step=2400, lr=0.190250, batch loss=0.220829, epoch loss=5.663225
Epoch=1, step=2400, lr=0.190250, epoch loss=5.663225
Batch=59, step=2460, lr=0.190000, batch loss=0.230394, epoch loss=0.230394
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426355
Batch=179, step=2580, lr=0.189500, batch loss=0.221147, epoch loss=0.647502
Batch=239, step=2640, lr=0.189000, batch loss=0.328087, epoch loss=0.975589
Batch=299, step=2700, lr=0.189000, batch loss=0.202999, epoch loss=1.178588
Batch=359, step=2760, lr=0.188750, batch loss=0.288256, epoch loss=1.466844
Batch=419, step=2820, lr=0.188500, batch loss=0.280187, epoch loss=1.747031
Batch=479, step=2880, lr=0.188250, batch loss=0.251499, epoch loss=1.998530
Batch=539, step=2940, lr=0.188000, batch loss=0.191300, epoch loss=2.189831
Batch=599, step=3000, lr=0.187750, batch loss=0.224957, epoch loss=2.414788
Batch=659, step=3060, lr=0.187500, batch loss=0.335789, epoch loss=2.750576
Batch=719, step=3120, lr=0.187250, batch loss=0.331393, epoch loss=3.081969
Batch=779, step=3180, lr=0.187000, batch loss=0.357970, epoch loss=3.439939
Batch=839, step=3240, lr=0.186750, batch loss=0.325588, epoch loss=3.765527
Batch=899, step=3300, lr=0.186500, batch loss=0.292441, epoch loss=4.057968
Batch=959, step=3360, lr=0.186250, batch loss=0.244834, epoch loss=4.302802
Batch=1019, step=3420, lr=0.186000, batch loss=0.361981, epoch loss=4.664783
Batch=1079, step=3480, lr=0.185750, batch loss=0.221908, epoch loss=4.886691
Batch=1139, step=3540, lr=0.185500, batch loss=0.264146, epoch loss=5.150837
Batch=1199, step=3600, lr=0.185250, batch loss=0.199946, epoch loss=5.350782
Epoch=2, step=3600, lr=0.185250, epoch loss=5.350782
Batch=59, step=3660, lr=0.185000, batch loss=0.221193, epoch loss=0.221193
Batch=119, step=3720, lr=0.184750, batch loss=0.184994, epoch loss=0.406187
Batch=179, step=3780, lr=0.184250, batch loss=0.211408, epoch loss=0.617595
Batch=239, step=3840, lr=0.184250, batch loss=0.316940, epoch loss=0.934535
Batch=299, step=3900, lr=0.184000, batch loss=0.209327, epoch loss=1.143861
Batch=359, step=3960, lr=0.183750, batch loss=0.285553, epoch loss=1.429414
Batch=419, step=4020, lr=0.183500, batch loss=0.278318, epoch loss=1.707732
Batch=479, step=4080, lr=0.183250, batch loss=0.254926, epoch loss=1.962658
Batch=539, step=4140, lr=0.183000, batch loss=0.200047, epoch loss=2.162705
Batch=599, step=4200, lr=0.182750, batch loss=0.242579, epoch loss=2.405284
Batch=659, step=4260, lr=0.182500, batch loss=0.327788, epoch loss=2.733072
Batch=719, step=4320, lr=0.182250, batch loss=0.330803, epoch loss=3.063875
Batch=779, step=4380, lr=0.182000, batch loss=0.349812, epoch loss=3.413687
Batch=839, step=4440, lr=0.181750, batch loss=0.317780, epoch loss=3.731467
Batch=899, step=4500, lr=0.181500, batch loss=0.285868, epoch loss=4.017335
Batch=959, step=4560, lr=0.181000, batch loss=0.239534, epoch loss=4.256869
Batch=1019, step=4620, lr=0.181000, batch loss=0.332834, epoch loss=4.589703
Batch=1079, step=4680, lr=0.180750, batch loss=0.195851, epoch loss=4.785554
Batch=1139, step=4740, lr=0.180500, batch loss=0.229046, epoch loss=5.014600
Batch=1199, step=4800, lr=0.180250, batch loss=0.193303, epoch loss=5.207903
Epoch=3, step=4800, lr=0.180250, epoch loss=5.207903
Batch=59, step=4860, lr=0.180000, batch loss=0.234119, epoch loss=0.234119
Batch=119, step=4920, lr=0.179750, batch loss=0.192082, epoch loss=0.426201
Batch=179, step=4980, lr=0.179500, batch loss=0.205732, epoch loss=0.631932
Batch=239, step=5040, lr=0.179250, batch loss=0.307528, epoch loss=0.939460
Batch=299, step=5100, lr=0.179000, batch loss=0.206036, epoch loss=1.145496
Batch=359, step=5160, lr=0.178750, batch loss=0.270767, epoch loss=1.416263
Batch=419, step=5220, lr=0.178500, batch loss=0.265498, epoch loss=1.681761
Batch=479, step=5280, lr=0.178250, batch loss=0.241975, epoch loss=1.923735
Batch=539, step=5340, lr=0.178000, batch loss=0.195222, epoch loss=2.118957
Batch=599, step=5400, lr=0.177750, batch loss=0.243473, epoch loss=2.362431
Batch=659, step=5460, lr=0.177500, batch loss=0.317065, epoch loss=2.679496
Batch=719, step=5520, lr=0.177250, batch loss=0.317766, epoch loss=2.997262
Batch=779, step=5580, lr=0.177000, batch loss=0.343182, epoch loss=3.340444
Batch=839, step=5640, lr=0.176750, batch loss=0.308212, epoch loss=3.648656
Batch=899, step=5700, lr=0.176500, batch loss=0.273875, epoch loss=3.922531
Batch=959, step=5760, lr=0.176250, batch loss=0.210694, epoch loss=4.133225
Batch=1019, step=5820, lr=0.176000, batch loss=0.338822, epoch loss=4.472047
Batch=1079, step=5880, lr=0.175750, batch loss=0.201152, epoch loss=4.673199
Batch=1139, step=5940, lr=0.175500, batch loss=0.243103, epoch loss=4.916302
Batch=1199, step=6000, lr=0.175000, batch loss=0.185404, epoch loss=5.101706
Epoch=4, step=6000, lr=0.175000, epoch loss=5.101706
Batch=59, step=6060, lr=0.175000, batch loss=0.226309, epoch loss=0.226309
Batch=119, step=6120, lr=0.174750, batch loss=0.184108, epoch loss=0.410417
Batch=179, step=6180, lr=0.174500, batch loss=0.201416, epoch loss=0.611832
Batch=239, step=6240, lr=0.174000, batch loss=0.301226, epoch loss=0.913059
Batch=299, step=6300, lr=0.174000, batch loss=0.205786, epoch loss=1.118845
Batch=359, step=6360, lr=0.173750, batch loss=0.264893, epoch loss=1.383738
Batch=419, step=6420, lr=0.173500, batch loss=0.261357, epoch loss=1.645095
Batch=479, step=6480, lr=0.173250, batch loss=0.241145, epoch loss=1.886240
Batch=539, step=6540, lr=0.173000, batch loss=0.196350, epoch loss=2.082590
Batch=599, step=6600, lr=0.172500, batch loss=0.232300, epoch loss=2.314890
Batch=659, step=6660, lr=0.172500, batch loss=0.313579, epoch loss=2.628468
Batch=719, step=6720, lr=0.172000, batch loss=0.316708, epoch loss=2.945177
Batch=779, step=6780, lr=0.172000, batch loss=0.330874, epoch loss=3.276051
Batch=839, step=6840, lr=0.171750, batch loss=0.306343, epoch loss=3.582394
Batch=899, step=6900, lr=0.171500, batch loss=0.268552, epoch loss=3.850945
Batch=959, step=6960, lr=0.171250, batch loss=0.207688, epoch loss=4.058633
Batch=1019, step=7020, lr=0.171000, batch loss=0.331341, epoch loss=4.389974
Batch=1079, step=7080, lr=0.170500, batch loss=0.180668, epoch loss=4.570641
Batch=1139, step=7140, lr=0.170250, batch loss=0.216787, epoch loss=4.787428
Batch=1199, step=7200, lr=0.170250, batch loss=0.182217, epoch loss=4.969645
Epoch=5, step=7200, lr=0.170250, epoch loss=4.969645
Batch=59, step=7260, lr=0.170000, batch loss=0.240258, epoch loss=0.240258
Batch=119, step=7320, lr=0.169750, batch loss=0.179678, epoch loss=0.419936
Batch=179, step=7380, lr=0.169500, batch loss=0.195233, epoch loss=0.615169
Batch=239, step=7440, lr=0.169250, batch loss=0.292340, epoch loss=0.907510
Batch=299, step=7500, lr=0.168750, batch loss=0.207780, epoch loss=1.115289
Batch=359, step=7560, lr=0.168750, batch loss=0.261235, epoch loss=1.376524
Batch=419, step=7620, lr=0.168500, batch loss=0.253888, epoch loss=1.630411
Batch=479, step=7680, lr=0.168250, batch loss=0.232172, epoch loss=1.862583
Batch=539, step=7740, lr=0.167750, batch loss=0.185275, epoch loss=2.047858
Batch=599, step=7800, lr=0.167750, batch loss=0.227373, epoch loss=2.275231
Batch=659, step=7860, lr=0.167500, batch loss=0.304156, epoch loss=2.579387
Batch=719, step=7920, lr=0.167250, batch loss=0.308405, epoch loss=2.887792
Batch=779, step=7980, lr=0.167000, batch loss=0.320406, epoch loss=3.208198
Batch=839, step=8040, lr=0.166750, batch loss=0.296672, epoch loss=3.504870
Batch=899, step=8100, lr=0.166500, batch loss=0.258502, epoch loss=3.763373
Batch=959, step=8160, lr=0.166250, batch loss=0.209740, epoch loss=3.973113
Batch=1019, step=8220, lr=0.166000, batch loss=0.313952, epoch loss=4.287065
Batch=1079, step=8280, lr=0.165750, batch loss=0.174684, epoch loss=4.461749
Batch=1139, step=8340, lr=0.165500, batch loss=0.209524, epoch loss=4.671273
Batch=1199, step=8400, lr=0.165250, batch loss=0.178127, epoch loss=4.849400
Epoch=6, step=8400, lr=0.165250, epoch loss=4.849400
Batch=59, step=8460, lr=0.165000, batch loss=0.228857, epoch loss=0.228857
Batch=119, step=8520, lr=0.164500, batch loss=0.174842, epoch loss=0.403699
Batch=179, step=8580, lr=0.164250, batch loss=0.187578, epoch loss=0.591277
Batch=239, step=8640, lr=0.164250, batch loss=0.277806, epoch loss=0.869084
Batch=299, step=8700, lr=0.164000, batch loss=0.191297, epoch loss=1.060380
Batch=359, step=8760, lr=0.163750, batch loss=0.248072, epoch loss=1.308452
Batch=419, step=8820, lr=0.163500, batch loss=0.244679, epoch loss=1.553131
Batch=479, step=8880, lr=0.163250, batch loss=0.228194, epoch loss=1.781325
Batch=539, step=8940, lr=0.162750, batch loss=0.177604, epoch loss=1.958929
Batch=599, step=9000, lr=0.162750, batch loss=0.217585, epoch loss=2.176514
Batch=659, step=9060, lr=0.162500, batch loss=0.294177, epoch loss=2.470691
Batch=719, step=9120, lr=0.162000, batch loss=0.295782, epoch loss=2.766473
Batch=779, step=9180, lr=0.162000, batch loss=0.315391, epoch loss=3.081863
Batch=839, step=9240, lr=0.161750, batch loss=0.280743, epoch loss=3.362606
Batch=899, step=9300, lr=0.161500, batch loss=0.251905, epoch loss=3.614511
Batch=959, step=9360, lr=0.161000, batch loss=0.188147, epoch loss=3.802658
Batch=1019, step=9420, lr=0.161000, batch loss=0.316733, epoch loss=4.119390
Batch=1079, step=9480, lr=0.160750, batch loss=0.186057, epoch loss=4.305448
Batch=1139, step=9540, lr=0.160500, batch loss=0.212057, epoch loss=4.517505
Batch=1199, step=9600, lr=0.160250, batch loss=0.167161, epoch loss=4.684666
Epoch=7, step=9600, lr=0.160250, epoch loss=4.684666
Batch=59, step=9660, lr=0.160000, batch loss=0.198411, epoch loss=0.198411
Batch=119, step=9720, lr=0.159500, batch loss=0.163941, epoch loss=0.362352
Batch=179, step=9780, lr=0.159500, batch loss=0.178691, epoch loss=0.541043
Batch=239, step=9840, lr=0.159250, batch loss=0.259500, epoch loss=0.800543
Batch=299, step=9900, lr=0.158750, batch loss=0.180321, epoch loss=0.980864
Batch=359, step=9960, lr=0.158750, batch loss=0.240958, epoch loss=1.221822
Batch=419, step=10020, lr=0.158250, batch loss=0.231802, epoch loss=1.453623
Batch=479, step=10080, lr=0.158250, batch loss=0.213230, epoch loss=1.666853
Batch=539, step=10140, lr=0.158000, batch loss=0.169893, epoch loss=1.836746
Batch=599, step=10200, lr=0.157750, batch loss=0.201246, epoch loss=2.037992
Batch=659, step=10260, lr=0.157500, batch loss=0.281884, epoch loss=2.319876
Batch=719, step=10320, lr=0.157250, batch loss=0.288368, epoch loss=2.608244
Batch=779, step=10380, lr=0.156750, batch loss=0.295023, epoch loss=2.903267
Batch=839, step=10440, lr=0.156750, batch loss=0.267470, epoch loss=3.170737
Batch=899, step=10500, lr=0.156500, batch loss=0.242183, epoch loss=3.412920
Batch=959, step=10560, lr=0.156250, batch loss=0.198657, epoch loss=3.611577
Batch=1019, step=10620, lr=0.156000, batch loss=0.292373, epoch loss=3.903950
Batch=1079, step=10680, lr=0.155750, batch loss=0.180248, epoch loss=4.084198
Batch=1139, step=10740, lr=0.155500, batch loss=0.204155, epoch loss=4.288352
Batch=1199, step=10800, lr=0.155250, batch loss=0.156361, epoch loss=4.444713
Epoch=8, step=10800, lr=0.155250, epoch loss=4.444713
Batch=59, step=10860, lr=0.155000, batch loss=0.180018, epoch loss=0.180018
Batch=119, step=10920, lr=0.154750, batch loss=0.150350, epoch loss=0.330368
Batch=179, step=10980, lr=0.154500, batch loss=0.166764, epoch loss=0.497133
Batch=239, step=11040, lr=0.154250, batch loss=0.243940, epoch loss=0.741072
Batch=299, step=11100, lr=0.153750, batch loss=0.164848, epoch loss=0.905920
Batch=359, step=11160, lr=0.153750, batch loss=0.223118, epoch loss=1.129037
Batch=419, step=11220, lr=0.153250, batch loss=0.229320, epoch loss=1.358358
Batch=479, step=11280, lr=0.153250, batch loss=0.202305, epoch loss=1.560663
Batch=539, step=11340, lr=0.153000, batch loss=0.160448, epoch loss=1.721110
Batch=599, step=11400, lr=0.152500, batch loss=0.183634, epoch loss=1.904744
Batch=659, step=11460, lr=0.152500, batch loss=0.261778, epoch loss=2.166522
Batch=719, step=11520, lr=0.152250, batch loss=0.256086, epoch loss=2.422608
Batch=779, step=11580, lr=0.151750, batch loss=0.269694, epoch loss=2.692302
Batch=839, step=11640, lr=0.151750, batch loss=0.256140, epoch loss=2.948443
Batch=899, step=11700, lr=0.151500, batch loss=0.216919, epoch loss=3.165362
Batch=959, step=11760, lr=0.151250, batch loss=0.171614, epoch loss=3.336976
Batch=1019, step=11820, lr=0.151000, batch loss=0.257471, epoch loss=3.594446
Batch=1079, step=11880, lr=0.150750, batch loss=0.137215, epoch loss=3.731662
Batch=1139, step=11940, lr=0.150500, batch loss=0.161521, epoch loss=3.893183
Batch=1199, step=12000, lr=0.150000, batch loss=0.138114, epoch loss=4.031297
Epoch=9, step=12000, lr=0.150000, epoch loss=4.031297
Batch=59, step=12060, lr=0.150000, batch loss=0.166108, epoch loss=0.166108
Batch=119, step=12120, lr=0.149750, batch loss=0.140085, epoch loss=0.306192
Batch=179, step=12180, lr=0.149500, batch loss=0.148775, epoch loss=0.454968
Batch=239, step=12240, lr=0.149250, batch loss=0.216128, epoch loss=0.671096
Batch=299, step=12300, lr=0.149000, batch loss=0.145196, epoch loss=0.816292
Batch=359, step=12360, lr=0.148750, batch loss=0.194935, epoch loss=1.011227
Batch=419, step=12420, lr=0.148500, batch loss=0.205952, epoch loss=1.217179
Batch=479, step=12480, lr=0.148250, batch loss=0.178660, epoch loss=1.395840
Batch=539, step=12540, lr=0.148000, batch loss=0.142470, epoch loss=1.538309
Batch=599, step=12600, lr=0.147750, batch loss=0.150360, epoch loss=1.688669
Batch=659, step=12660, lr=0.147500, batch loss=0.223058, epoch loss=1.911727
Batch=719, step=12720, lr=0.147250, batch loss=0.232311, epoch loss=2.144038
Batch=779, step=12780, lr=0.147000, batch loss=0.252638, epoch loss=2.396676
Batch=839, step=12840, lr=0.146750, batch loss=0.234478, epoch loss=2.631154
Batch=899, step=12900, lr=0.146500, batch loss=0.224347, epoch loss=2.855501
Batch=959, step=12960, lr=0.146250, batch loss=0.145758, epoch loss=3.001260
Batch=1019, step=13020, lr=0.146000, batch loss=0.240926, epoch loss=3.242185
Batch=1079, step=13080, lr=0.145750, batch loss=0.103749, epoch loss=3.345934
Batch=1139, step=13140, lr=0.145500, batch loss=0.141615, epoch loss=3.487548
Batch=1199, step=13200, lr=0.145250, batch loss=0.121881, epoch loss=3.609430
Epoch=10, step=13200, lr=0.145250, epoch loss=3.609430
Batch=59, step=13260, lr=0.145000, batch loss=0.155413, epoch loss=0.155413
Batch=119, step=13320, lr=0.144750, batch loss=0.126728, epoch loss=0.282141
Batch=179, step=13380, lr=0.144500, batch loss=0.127615, epoch loss=0.409755
Batch=239, step=13440, lr=0.144250, batch loss=0.188706, epoch loss=0.598461
Batch=299, step=13500, lr=0.144000, batch loss=0.119690, epoch loss=0.718152
Batch=359, step=13560, lr=0.143750, batch loss=0.160835, epoch loss=0.878987
Batch=419, step=13620, lr=0.143500, batch loss=0.160938, epoch loss=1.039925
Batch=479, step=13680, lr=0.143250, batch loss=0.144325, epoch loss=1.184250
Batch=539, step=13740, lr=0.143000, batch loss=0.118532, epoch loss=1.302782
Batch=599, step=13800, lr=0.142750, batch loss=0.119659, epoch loss=1.422440
Batch=659, step=13860, lr=0.142500, batch loss=0.173423, epoch loss=1.595863
Batch=719, step=13920, lr=0.142250, batch loss=0.174464, epoch loss=1.770327
Batch=779, step=13980, lr=0.142000, batch loss=0.196544, epoch loss=1.966871
Batch=839, step=14040, lr=0.141750, batch loss=0.206360, epoch loss=2.173231
Batch=899, step=14100, lr=0.141500, batch loss=0.221094, epoch loss=2.394325
Batch=959, step=14160, lr=0.141000, batch loss=0.099736, epoch loss=2.494061
Batch=1019, step=14220, lr=0.141000, batch loss=0.191351, epoch loss=2.685411
Batch=1079, step=14280, lr=0.140500, batch loss=0.082350, epoch loss=2.767762
Batch=1139, step=14340, lr=0.140500, batch loss=0.133712, epoch loss=2.901473
Batch=1199, step=14400, lr=0.140000, batch loss=0.086564, epoch loss=2.988038
Epoch=11, step=14400, lr=0.140000, epoch loss=2.988038
Batch=59, step=14460, lr=0.139750, batch loss=0.102559, epoch loss=0.102559
Batch=119, step=14520, lr=0.139500, batch loss=0.099132, epoch loss=0.201691
Batch=179, step=14580, lr=0.139250, batch loss=0.099977, epoch loss=0.301668
Batch=239, step=14640, lr=0.139250, batch loss=0.139994, epoch loss=0.441662
Batch=299, step=14700, lr=0.138750, batch loss=0.076280, epoch loss=0.517942
Batch=359, step=14760, lr=0.138750, batch loss=0.119588, epoch loss=0.637530
Batch=419, step=14820, lr=0.138500, batch loss=0.130383, epoch loss=0.767912
Batch=479, step=14880, lr=0.138250, batch loss=0.100154, epoch loss=0.868067
Batch=539, step=14940, lr=0.138000, batch loss=0.110014, epoch loss=0.978080
Batch=599, step=15000, lr=0.137500, batch loss=0.083181, epoch loss=1.061262
Batch=659, step=15060, lr=0.137500, batch loss=0.126841, epoch loss=1.188103
Batch=719, step=15120, lr=0.137250, batch loss=0.118187, epoch loss=1.306290
Batch=779, step=15180, lr=0.137000, batch loss=0.132168, epoch loss=1.438458
Batch=839, step=15240, lr=0.136750, batch loss=0.174415, epoch loss=1.612873
Batch=899, step=15300, lr=0.136500, batch loss=0.311378, epoch loss=1.924250
Batch=959, step=15360, lr=0.136250, batch loss=0.059524, epoch loss=1.983774
Batch=1019, step=15420, lr=0.136000, batch loss=0.134706, epoch loss=2.118480
Batch=1079, step=15480, lr=0.135750, batch loss=0.043870, epoch loss=2.162350
Batch=1139, step=15540, lr=0.135500, batch loss=0.098908, epoch loss=2.261257
Batch=1199, step=15600, lr=0.135250, batch loss=0.060076, epoch loss=2.321333
Epoch=12, step=15600, lr=0.135250, epoch loss=2.321333
Batch=59, step=15660, lr=0.135000, batch loss=0.072359, epoch loss=0.072359
Batch=119, step=15720, lr=0.134750, batch loss=0.091054, epoch loss=0.163413
Batch=179, step=15780, lr=0.134500, batch loss=0.080975, epoch loss=0.244388
Batch=239, step=15840, lr=0.134250, batch loss=0.090281, epoch loss=0.334669
Batch=299, step=15900, lr=0.134000, batch loss=0.035212, epoch loss=0.369881
Batch=359, step=15960, lr=0.133750, batch loss=0.074470, epoch loss=0.444350
Batch=419, step=16020, lr=0.133500, batch loss=0.097518, epoch loss=0.541868
Batch=479, step=16080, lr=0.133250, batch loss=0.058289, epoch loss=0.600157
Batch=539, step=16140, lr=0.133000, batch loss=0.104704, epoch loss=0.704861
Batch=599, step=16200, lr=0.132750, batch loss=0.057981, epoch loss=0.762842
Batch=659, step=16260, lr=0.132500, batch loss=0.077137, epoch loss=0.839979
Batch=719, step=16320, lr=0.132250, batch loss=0.081083, epoch loss=0.921062
Batch=779, step=16380, lr=0.132000, batch loss=0.102450, epoch loss=1.023512
Batch=839, step=16440, lr=0.131750, batch loss=0.114691, epoch loss=1.138203
Batch=899, step=16500, lr=0.131500, batch loss=0.153662, epoch loss=1.291864
Batch=959, step=16560, lr=0.131250, batch loss=0.050891, epoch loss=1.342755
Batch=1019, step=16620, lr=0.131000, batch loss=0.132390, epoch loss=1.475145
Batch=1079, step=16680, lr=0.130500, batch loss=0.019986, epoch loss=1.495131
Batch=1139, step=16740, lr=0.130500, batch loss=0.046906, epoch loss=1.542037
Batch=1199, step=16800, lr=0.130250, batch loss=0.025562, epoch loss=1.567599
Epoch=13, step=16800, lr=0.130250, epoch loss=1.567599
Batch=59, step=16860, lr=0.129750, batch loss=0.033867, epoch loss=0.033867
Batch=119, step=16920, lr=0.129750, batch loss=0.046681, epoch loss=0.080548
Batch=179, step=16980, lr=0.129500, batch loss=0.046542, epoch loss=0.127090
Batch=239, step=17040, lr=0.129250, batch loss=0.071134, epoch loss=0.198224
Batch=299, step=17100, lr=0.128750, batch loss=0.080277, epoch loss=0.278500
Batch=359, step=17160, lr=0.128750, batch loss=0.049077, epoch loss=0.327577
Batch=419, step=17220, lr=0.128250, batch loss=0.047508, epoch loss=0.375086
Batch=479, step=17280, lr=0.128000, batch loss=0.027295, epoch loss=0.402381
Batch=539, step=17340, lr=0.128000, batch loss=0.040142, epoch loss=0.442523
Batch=599, step=17400, lr=0.127750, batch loss=0.033063, epoch loss=0.475586
Batch=659, step=17460, lr=0.127500, batch loss=0.044103, epoch loss=0.519690
Batch=719, step=17520, lr=0.127250, batch loss=0.051763, epoch loss=0.571453
Batch=779, step=17580, lr=0.127000, batch loss=0.129217, epoch loss=0.700671
Batch=839, step=17640, lr=0.126750, batch loss=0.099321, epoch loss=0.799991
Batch=899, step=17700, lr=0.126250, batch loss=0.148631, epoch loss=0.948622
Batch=959, step=17760, lr=0.126250, batch loss=0.018674, epoch loss=0.967296
Batch=1019, step=17820, lr=0.125750, batch loss=0.032300, epoch loss=0.999596
Batch=1079, step=17880, lr=0.125750, batch loss=0.011620, epoch loss=1.011216
Batch=1139, step=17940, lr=0.125500, batch loss=0.031169, epoch loss=1.042386
Batch=1199, step=18000, lr=0.125250, batch loss=0.014475, epoch loss=1.056860
Epoch=14, step=18000, lr=0.125250, epoch loss=1.056860
Batch=59, step=18060, lr=0.124750, batch loss=0.010918, epoch loss=0.010918
Batch=119, step=18120, lr=0.124750, batch loss=0.020075, epoch loss=0.030993
Batch=179, step=18180, lr=0.124500, batch loss=0.037410, epoch loss=0.068404
Batch=239, step=18240, lr=0.124250, batch loss=0.036499, epoch loss=0.104903
Batch=299, step=18300, lr=0.124000, batch loss=0.015473, epoch loss=0.120375
Batch=359, step=18360, lr=0.123750, batch loss=0.023384, epoch loss=0.143760
Batch=419, step=18420, lr=0.123500, batch loss=0.027968, epoch loss=0.171727
Batch=479, step=18480, lr=0.123000, batch loss=0.018096, epoch loss=0.189823
Batch=539, step=18540, lr=0.122750, batch loss=0.029991, epoch loss=0.219814
Batch=599, step=18600, lr=0.122500, batch loss=0.025097, epoch loss=0.244912
Batch=659, step=18660, lr=0.122500, batch loss=0.029952, epoch loss=0.274864
Batch=719, step=18720, lr=0.122250, batch loss=0.040070, epoch loss=0.314935
Batch=779, step=18780, lr=0.122000, batch loss=0.114367, epoch loss=0.429301
Batch=839, step=18840, lr=0.121750, batch loss=0.058154, epoch loss=0.487456
Batch=899, step=18900, lr=0.121500, batch loss=0.073474, epoch loss=0.560929
Batch=959, step=18960, lr=0.121250, batch loss=0.013100, epoch loss=0.574029
Batch=1019, step=19020, lr=0.121000, batch loss=0.020600, epoch loss=0.594629
Batch=1079, step=19080, lr=0.120750, batch loss=0.011127, epoch loss=0.605757
Batch=1139, step=19140, lr=0.120500, batch loss=0.023490, epoch loss=0.629247
Batch=1199, step=19200, lr=0.120250, batch loss=0.009590, epoch loss=0.638837
Epoch=15, step=19200, lr=0.120250, epoch loss=0.638837
Batch=59, step=19260, lr=0.119750, batch loss=0.004593, epoch loss=0.004593
Batch=119, step=19320, lr=0.119750, batch loss=0.016699, epoch loss=0.021292
Batch=179, step=19380, lr=0.119250, batch loss=0.039321, epoch loss=0.060613
Batch=239, step=19440, lr=0.119000, batch loss=0.021501, epoch loss=0.082114
Batch=299, step=19500, lr=0.118750, batch loss=0.004647, epoch loss=0.086761
Batch=359, step=19560, lr=0.118750, batch loss=0.018127, epoch loss=0.104888
Batch=419, step=19620, lr=0.118500, batch loss=0.017848, epoch loss=0.122736
Batch=479, step=19680, lr=0.118250, batch loss=0.005444, epoch loss=0.128179
Batch=539, step=19740, lr=0.117750, batch loss=0.029675, epoch loss=0.157854
Batch=599, step=19800, lr=0.117750, batch loss=0.024338, epoch loss=0.182192
Batch=659, step=19860, lr=0.117250, batch loss=0.015669, epoch loss=0.197861
Batch=719, step=19920, lr=0.117250, batch loss=0.033565, epoch loss=0.231426
Batch=779, step=19980, lr=0.117000, batch loss=0.056243, epoch loss=0.287669
Batch=839, step=20040, lr=0.116750, batch loss=0.034584, epoch loss=0.322253
Batch=899, step=20100, lr=0.116250, batch loss=0.039491, epoch loss=0.361744
Batch=959, step=20160, lr=0.116000, batch loss=0.012197, epoch loss=0.373940
Batch=1019, step=20220, lr=0.116000, batch loss=0.015152, epoch loss=0.389092
Batch=1079, step=20280, lr=0.115750, batch loss=0.001824, epoch loss=0.390916
Batch=1139, step=20340, lr=0.115500, batch loss=0.014288, epoch loss=0.405204
Batch=1199, step=20400, lr=0.115250, batch loss=0.005764, epoch loss=0.410968
Epoch=16, step=20400, lr=0.115250, epoch loss=0.410968
Batch=59, step=20460, lr=0.115000, batch loss=0.002765, epoch loss=0.002765
Batch=119, step=20520, lr=0.114750, batch loss=0.009447, epoch loss=0.012211
Batch=179, step=20580, lr=0.114250, batch loss=0.021988, epoch loss=0.034200
Batch=239, step=20640, lr=0.114000, batch loss=0.015945, epoch loss=0.050145
Batch=299, step=20700, lr=0.114000, batch loss=0.004685, epoch loss=0.054830
Batch=359, step=20760, lr=0.113750, batch loss=0.014173, epoch loss=0.069003
Batch=419, step=20820, lr=0.113500, batch loss=0.014146, epoch loss=0.083149
Batch=479, step=20880, lr=0.113250, batch loss=0.003636, epoch loss=0.086785
Batch=539, step=20940, lr=0.113000, batch loss=0.016136, epoch loss=0.102920
Batch=599, step=21000, lr=0.112750, batch loss=0.017365, epoch loss=0.120285
Batch=659, step=21060, lr=0.112500, batch loss=0.013675, epoch loss=0.133960
Batch=719, step=21120, lr=0.112250, batch loss=0.033381, epoch loss=0.167341
Batch=779, step=21180, lr=0.112000, batch loss=0.053875, epoch loss=0.221216
Batch=839, step=21240, lr=0.111750, batch loss=0.024580, epoch loss=0.245796
Batch=899, step=21300, lr=0.111500, batch loss=0.023990, epoch loss=0.269787
Batch=959, step=21360, lr=0.111250, batch loss=0.016795, epoch loss=0.286581
Batch=1019, step=21420, lr=0.111000, batch loss=0.019276, epoch loss=0.305857
Batch=1079, step=21480, lr=0.110500, batch loss=0.002791, epoch loss=0.308648
Batch=1139, step=21540, lr=0.110250, batch loss=0.012512, epoch loss=0.321160
Batch=1199, step=21600, lr=0.110000, batch loss=0.005295, epoch loss=0.326455
Epoch=17, step=21600, lr=0.110000, epoch loss=0.326455
Batch=59, step=21660, lr=0.110000, batch loss=0.002787, epoch loss=0.002787
Batch=119, step=21720, lr=0.109750, batch loss=0.006389, epoch loss=0.009176
Batch=179, step=21780, lr=0.109250, batch loss=0.012012, epoch loss=0.021188
Batch=239, step=21840, lr=0.109250, batch loss=0.009116, epoch loss=0.030303
Batch=299, step=21900, lr=0.109000, batch loss=0.008518, epoch loss=0.038821
Batch=359, step=21960, lr=0.108500, batch loss=0.015158, epoch loss=0.053979
Batch=419, step=22020, lr=0.108500, batch loss=0.011902, epoch loss=0.065882
Batch=479, step=22080, lr=0.108250, batch loss=0.002770, epoch loss=0.068651
Batch=539, step=22140, lr=0.107750, batch loss=0.017710, epoch loss=0.086361
Batch=599, step=22200, lr=0.107750, batch loss=0.015284, epoch loss=0.101645
Batch=659, step=22260, lr=0.107500, batch loss=0.011290, epoch loss=0.112935
Batch=719, step=22320, lr=0.107250, batch loss=0.017870, epoch loss=0.130805
Batch=779, step=22380, lr=0.107000, batch loss=0.024409, epoch loss=0.155215
Batch=839, step=22440, lr=0.106750, batch loss=0.026468, epoch loss=0.181683
Batch=899, step=22500, lr=0.106500, batch loss=0.025691, epoch loss=0.207374
Batch=959, step=22560, lr=0.106250, batch loss=0.008765, epoch loss=0.216139
Batch=1019, step=22620, lr=0.106000, batch loss=0.008857, epoch loss=0.224996
Batch=1079, step=22680, lr=0.105750, batch loss=0.001665, epoch loss=0.226661
Batch=1139, step=22740, lr=0.105500, batch loss=0.010557, epoch loss=0.237218
Batch=1199, step=22800, lr=0.105250, batch loss=0.004703, epoch loss=0.241921
Epoch=18, step=22800, lr=0.105250, epoch loss=0.241921
Batch=59, step=22860, lr=0.105000, batch loss=0.001758, epoch loss=0.001758
Batch=119, step=22920, lr=0.104750, batch loss=0.005245, epoch loss=0.007003
Batch=179, step=22980, lr=0.104500, batch loss=0.010739, epoch loss=0.017742
Batch=239, step=23040, lr=0.104000, batch loss=0.009436, epoch loss=0.027179
Batch=299, step=23100, lr=0.104000, batch loss=0.008183, epoch loss=0.035362
Batch=359, step=23160, lr=0.103750, batch loss=0.011150, epoch loss=0.046512
Batch=419, step=23220, lr=0.103500, batch loss=0.010871, epoch loss=0.057383
Batch=479, step=23280, lr=0.103250, batch loss=0.003780, epoch loss=0.061162
Batch=539, step=23340, lr=0.103000, batch loss=0.014041, epoch loss=0.075203
Batch=599, step=23400, lr=0.102750, batch loss=0.014567, epoch loss=0.089770
Batch=659, step=23460, lr=0.102500, batch loss=0.014757, epoch loss=0.104528
Batch=719, step=23520, lr=0.102250, batch loss=0.017286, epoch loss=0.121813
Batch=779, step=23580, lr=0.102000, batch loss=0.020251, epoch loss=0.142065
Batch=839, step=23640, lr=0.101500, batch loss=0.026600, epoch loss=0.168664
Batch=899, step=23700, lr=0.101500, batch loss=0.021296, epoch loss=0.189960
Batch=959, step=23760, lr=0.101250, batch loss=0.007747, epoch loss=0.197707
Batch=1019, step=23820, lr=0.101000, batch loss=0.006449, epoch loss=0.204156
Batch=1079, step=23880, lr=0.100750, batch loss=0.001318, epoch loss=0.205474
Batch=1139, step=23940, lr=0.100500, batch loss=0.008110, epoch loss=0.213584
Batch=1199, step=24000, lr=0.100250, batch loss=0.004118, epoch loss=0.217702
Epoch=19, step=24000, lr=0.100250, epoch loss=0.217702


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############***************************************..│
│********######*####*********************************###*###*#**********************************.....│
│*******######**##**********************************#*######*#********************************.......│
│*******##*##**##***********..........***************########*##****************************.........│
│*****#######************.......%...%%...***************#########**************************........%.│
│******######***********.........%........***************##*#####************************......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│
│****#######**********..........%%%%.........************#########*********************.......%%.%%.%│
│**#######************..........%%%%%%%.......**************###*###*******************........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│
│*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│
│*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│
│*#####*#***********.............%%%%%%%............**********##*###*************.............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│
│#####*#**********...............%%%%%%%..............********#######*********..............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│
│#######*********.................%%%%%%%%...............*****###*###*******...............%%%%%%....│
│######**********.................%%%%%%%%%...............****#*###*******...............%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│
│#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│
│**************.....................%.%%%%%%..................*********.................%.%%.%%......│
│*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│
│************............................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-05-15 13:56.11: Job failed: Failed: Build failed