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fedora-42-5.3_opam-2.3

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2025-05-19 16:39.10: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (33efa3b22f0833f85bad4a3f7df8cc8ab9e57b82) (linux-x86_64:fedora-42-5.3_opam-2.3)
Base: ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 33efa3b2
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373
# fedora-42-5.3_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


2025-05-19 16:39.10: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-19 16:39.10: Using OBuilder spec:
((from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373)
(comment fedora-42-5.3_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"))
)


2025-05-19 16:39.10: Waiting for resource in pool OCluster
2025-05-19 16:39.10: Waiting for worker…
2025-05-19 16:40.08: Got resource from pool OCluster
Building on laodoke.caelum.ci.dev
All commits already cached
HEAD is now at 33efa3b2 Prepare for release Remaining: CUDA regressions


(from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373)
2025-05-19 16:40.57 ---> using "58e80f2943667cc892930b8f00145b341640b9631e46b0e990690977929d47d4" from cache


/: (comment fedora-42-5.3_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 42 - x86_64 - Updates           100% |  92.4 KiB/s |  23.6 KiB |  00m00s
Fedora 42 - x86_64                     100% | 181.8 KiB/s |  24.9 KiB |  00m00s
Fedora 42 - x86_64 - Updates           100% |   2.8 MiB/s |   6.0 MiB |  00m02s
Fedora 42 - x86_64                     100% | 326.8 KiB/s | 310.5 KiB |  00m01s
Repositories loaded.
Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed.


Nothing to do.
2025-05-19 16:40.57 ---> using "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb" from cache


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-19 16:40.57 ---> using "99c48dd0c90841dd0557a3605ead22147b57247e14e3720a707113a3fd5cb79d" from cache


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


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
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-19 16:40.57 ---> using "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212" from cache


/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
2025-05-19 16:40.57 ---> using "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-19 16:40.57 ---> using "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7" from cache


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


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-05-19 16:40.57 ---> using "258d56210f3e71e9897edd6a05b53422b4d8b3fc50c99e4e525a14464782f7cb" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-19 16:40.57 ---> using "488e452321e667b2c669dfc12a8ada5a6310bbee470acf388851e055b66a2173" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-19 16:40.57 ---> using "8fa86840d1e6aa4b43a4e44d7dd54fd178009a5a8b2207e2f35552de65a7b30f" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-19 16:40.57 ---> using "5a4511450e9e99a38c72c663d411bec8074130faebe05d7fce0da8e8c5c58f5f" from cache


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/sbin/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/sbin/sudo "yum" "install" "-y" "libffi-devel"
- Updating and loading repositories:
- Repositories loaded.
- Package       Arch   Version      Repository      Size
- Installing:
-  libffi-devel x86_64 3.4.6-5.fc42 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-0:3.4.6-5.fc42.x86_6 100% | 312.8 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% |  99.6 KiB/s |  28.8 KiB |  00m00s
- Running transaction
- [1/3] Verify package files              100% | 500.0   B/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  20.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-5 100% | 325.2 KiB/s |  34.8 KiB |  00m00s
- Complete!
+ /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.6-5.fc42.x86_64
2025-05-19 16:40.57 ---> using "1386309c1462d1dcd62997026eeace65f0e381655874263b8a00df6fbb6f08f5" from cache


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved pprint.20230830  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> installed seq.base
-> retrieved saturn_lockfree.0.5.0  (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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed fmt.0.10.0
-> 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 ocaml-version.4.0.0
-> 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_intrinsics_kernel.v0.17.1
-> installed ocaml-syntax-shims.1.0.0
-> installed pprint.20230830
-> installed printbox.0.12
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed re.1.12.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed sexplib.v0.17.0
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed tyxml.4.6.0
-> installed angstrom.0.16.1
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed base.v0.17.2
-> installed printbox-text.0.12
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ctypes-foreign.0.23.0
-> installed ppxlib.0.35.0
-> installed ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_cold.v0.17.0
-> installed ppx_here.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_deriving.6.0.3
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-19 16:43.39 ---> saved as "09ac8a187b2b0d600987c09f26ba2808673f4138e88e25a28ffa60ec5c83604f"


/src: (copy (src .) (dst /src))
2025-05-19 16:43.39 ---> saved as "c29b54c0ea5599f3b4f01287c3fc539ae36f0833b0bc99ca3da62b6b1e20f859"


/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/9ab3192b3902ddfb18b9ec109792527c/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/605722932ac4a43df10e8645fe8a465d/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/dune", lines 19-29, characters 0-281:
19 | (rule
20 |  (alias runtest)
21 |  (target
22 |   (dir log_files))
23 |  (action
24 |   (run
25 |    %{dep:micrograd_demo_logging.exe}
26 |    "--ocannl_debug_backend=text"
27 |    "--ocannl_log_file_stem=micrograd_demo_logging"
28 |    "--ocannl_log_main_domain_to_stdout=false"
29 |    "--ocannl_debug_log_to_stream_files=true")))
(cd _build/default/test && ./micrograd_demo_logging.exe --ocannl_debug_backend=text --ocannl_log_file_stem=micrograd_demo_logging --ocannl_log_main_domain_to_stdout=false --ocannl_debug_log_to_stream_files=true)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_cd_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Found true, commandline --ocannl_debug_log_to_stream_files=true
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Fatal error: exception File "src/printbox-text/PrintBox_text.ml", line 212, characters 6-12: Assertion failed
Raised at PrintBox_text.Output.Make_out.to_buf_aux_ in file "src/printbox-text/PrintBox_text.ml", line 212, characters 6-50
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 19-42
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from Stdlib__Map.Make.fold in file "map.ml", line 329, characters 26-41
Called from PrintBox_text.Output.Make_out.render in file "src/printbox-text/PrintBox_text.ml", line 242, characters 14-64
Called from PrintBox_text.output in file "src/printbox-text/PrintBox_text.ml", line 851, characters 2-31
Called from Minidebug_runtime.PrintBox.output_box in file "minidebug_runtime.ml", line 1527, characters 19-59
Called from Minidebug_runtime.PrintBox.close_log_impl.close_tree in file "minidebug_runtime.ml", line 1572, characters 6-38
Called from Backends.Add_buffer_retrieval_and_syncing.sync_routine in file "arrayjit/lib/backends.ml", lines 144-172, characters 31-82
Called from Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 454-455, characters 4-92
Re-raised at Backends.Raise_backend.link in file "arrayjit/lib/backends.ml", lines 441-455, characters 23-92
Called from Dune__exe__Micrograd_demo_logging in file "test/micrograd_demo_logging.ml", line 34, characters 13-77
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9ab3192b3902ddfb18b9ec109792527c/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/9ab3192b3902ddfb18b9ec109792527c/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!Retrieving commandline, environment, or config file variable ocannl_prefer_backend_uniformity
Found true, in the config file
Retrieving commandline, environment, or config file variable ocannl_debug_log_to_stream_files
Not found, using default false
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198250, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.821468, epoch loss=39.841549
Batch=539, step=540, lr=0.197750, batch loss=0.691338, epoch loss=40.532887
Batch=599, step=600, lr=0.197750, batch loss=1.061674, epoch loss=41.594561
Batch=659, step=660, lr=0.197500, batch loss=0.483747, epoch loss=42.078308
Batch=719, step=720, lr=0.197000, batch loss=0.411370, epoch loss=42.489678
Batch=779, step=780, lr=0.197000, batch loss=0.469962, epoch loss=42.959640
Batch=839, step=840, lr=0.196750, batch loss=0.446929, epoch loss=43.406568
Batch=899, step=900, lr=0.196500, batch loss=0.382739, epoch loss=43.789307
Batch=959, step=960, lr=0.196250, batch loss=0.244452, epoch loss=44.033759
Batch=1019, step=1020, lr=0.196000, batch loss=0.467916, epoch loss=44.501674
Batch=1079, step=1080, lr=0.195750, batch loss=0.247631, epoch loss=44.749305
Batch=1139, step=1140, lr=0.195500, batch loss=0.318530, epoch loss=45.067835
Batch=1199, step=1200, lr=0.195250, batch loss=0.263404, epoch loss=45.331239
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331239
Batch=59, step=1260, lr=0.195000, batch loss=0.261897, epoch loss=0.261897
Batch=119, step=1320, lr=0.194750, batch loss=0.205657, epoch loss=0.467554
Batch=179, step=1380, lr=0.194500, batch loss=0.243669, epoch loss=0.711223
Batch=239, step=1440, lr=0.194000, batch loss=0.347524, epoch loss=1.058747
Batch=299, step=1500, lr=0.193750, batch loss=0.248038, epoch loss=1.306784
Batch=359, step=1560, lr=0.193750, batch loss=0.315883, epoch loss=1.622668
Batch=419, step=1620, lr=0.193250, batch loss=0.309399, epoch loss=1.932067
Batch=479, step=1680, lr=0.193250, batch loss=0.274629, epoch loss=2.206696
Batch=539, step=1740, lr=0.193000, batch loss=0.210719, epoch loss=2.417415
Batch=599, step=1800, lr=0.192750, batch loss=0.251248, epoch loss=2.668663
Batch=659, step=1860, lr=0.192250, batch loss=0.367828, epoch loss=3.036492
Batch=719, step=1920, lr=0.192250, batch loss=0.364944, epoch loss=3.401436
Batch=779, step=1980, lr=0.192000, batch loss=0.381768, epoch loss=3.783204
Batch=839, step=2040, lr=0.191750, batch loss=0.342581, epoch loss=4.125785
Batch=899, step=2100, lr=0.191500, batch loss=0.306889, epoch loss=4.432675
Batch=959, step=2160, lr=0.191250, batch loss=0.227675, epoch loss=4.660350
Batch=1019, step=2220, lr=0.190750, batch loss=0.318526, epoch loss=4.978876
Batch=1079, step=2280, lr=0.190500, batch loss=0.187961, epoch loss=5.166838
Batch=1139, step=2340, lr=0.190500, batch loss=0.252987, epoch loss=5.419825
Batch=1199, step=2400, lr=0.190250, batch loss=0.211253, epoch loss=5.631078
Epoch=1, step=2400, lr=0.190250, epoch loss=5.631078
Batch=59, step=2460, lr=0.190000, batch loss=0.226018, epoch loss=0.226018
Batch=119, step=2520, lr=0.189750, batch loss=0.192462, epoch loss=0.418480
Batch=179, step=2580, lr=0.189500, batch loss=0.217901, epoch loss=0.636381
Batch=239, step=2640, lr=0.189250, batch loss=0.327367, epoch loss=0.963748
Batch=299, step=2700, lr=0.189000, batch loss=0.218424, epoch loss=1.182172
Batch=359, step=2760, lr=0.188500, batch loss=0.297465, epoch loss=1.479637
Batch=419, step=2820, lr=0.188250, batch loss=0.287096, epoch loss=1.766733
Batch=479, step=2880, lr=0.188000, batch loss=0.262835, epoch loss=2.029568
Batch=539, step=2940, lr=0.187750, batch loss=0.211787, epoch loss=2.241356
Batch=599, step=3000, lr=0.187750, batch loss=0.253732, epoch loss=2.495088
Batch=659, step=3060, lr=0.187500, batch loss=0.344674, epoch loss=2.839762
Batch=719, step=3120, lr=0.187000, batch loss=0.342225, epoch loss=3.181987
Batch=779, step=3180, lr=0.186750, batch loss=0.368224, epoch loss=3.550212
Batch=839, step=3240, lr=0.186750, batch loss=0.327326, epoch loss=3.877538
Batch=899, step=3300, lr=0.186500, batch loss=0.299401, epoch loss=4.176939
Batch=959, step=3360, lr=0.186000, batch loss=0.237488, epoch loss=4.414427
Batch=1019, step=3420, lr=0.186000, batch loss=0.358976, epoch loss=4.773403
Batch=1079, step=3480, lr=0.185750, batch loss=0.233357, epoch loss=5.006760
Batch=1139, step=3540, lr=0.185250, batch loss=0.257664, epoch loss=5.264424
Batch=1199, step=3600, lr=0.185250, batch loss=0.199570, epoch loss=5.463994
Epoch=2, step=3600, lr=0.185250, epoch loss=5.463994
Batch=59, step=3660, lr=0.185000, batch loss=0.225079, epoch loss=0.225079
Batch=119, step=3720, lr=0.184750, batch loss=0.186151, epoch loss=0.411230
Batch=179, step=3780, lr=0.184250, batch loss=0.212460, epoch loss=0.623690
Batch=239, step=3840, lr=0.184000, batch loss=0.316469, epoch loss=0.940158
Batch=299, step=3900, lr=0.184000, batch loss=0.204750, epoch loss=1.144908
Batch=359, step=3960, lr=0.183500, batch loss=0.285055, epoch loss=1.429963
Batch=419, step=4020, lr=0.183250, batch loss=0.272192, epoch loss=1.702154
Batch=479, step=4080, lr=0.183000, batch loss=0.249743, epoch loss=1.951897
Batch=539, step=4140, lr=0.182750, batch loss=0.193942, epoch loss=2.145839
Batch=599, step=4200, lr=0.182500, batch loss=0.230391, epoch loss=2.376231
Batch=659, step=4260, lr=0.182500, batch loss=0.337155, epoch loss=2.713386
Batch=719, step=4320, lr=0.182250, batch loss=0.342667, epoch loss=3.056053
Batch=779, step=4380, lr=0.181750, batch loss=0.352476, epoch loss=3.408529
Batch=839, step=4440, lr=0.181750, batch loss=0.315731, epoch loss=3.724260
Batch=899, step=4500, lr=0.181500, batch loss=0.281797, epoch loss=4.006057
Batch=959, step=4560, lr=0.181000, batch loss=0.224365, epoch loss=4.230422
Batch=1019, step=4620, lr=0.180750, batch loss=0.340161, epoch loss=4.570583
Batch=1079, step=4680, lr=0.180750, batch loss=0.199288, epoch loss=4.769871
Batch=1139, step=4740, lr=0.180500, batch loss=0.238241, epoch loss=5.008112
Batch=1199, step=4800, lr=0.180250, batch loss=0.191637, epoch loss=5.199749
Epoch=3, step=4800, lr=0.180250, epoch loss=5.199749
Batch=59, step=4860, lr=0.180000, batch loss=0.226141, epoch loss=0.226141
Batch=119, step=4920, lr=0.179750, batch loss=0.191628, epoch loss=0.417769
Batch=179, step=4980, lr=0.179500, batch loss=0.206766, epoch loss=0.624535
Batch=239, step=5040, lr=0.179250, batch loss=0.307883, epoch loss=0.932418
Batch=299, step=5100, lr=0.179000, batch loss=0.207738, epoch loss=1.140156
Batch=359, step=5160, lr=0.178750, batch loss=0.274623, epoch loss=1.414779
Batch=419, step=5220, lr=0.178500, batch loss=0.264322, epoch loss=1.679101
Batch=479, step=5280, lr=0.178000, batch loss=0.241203, epoch loss=1.920305
Batch=539, step=5340, lr=0.178000, batch loss=0.189925, epoch loss=2.110229
Batch=599, step=5400, lr=0.177750, batch loss=0.231311, epoch loss=2.341541
Batch=659, step=5460, lr=0.177500, batch loss=0.323824, epoch loss=2.665365
Batch=719, step=5520, lr=0.177000, batch loss=0.325421, epoch loss=2.990785
Batch=779, step=5580, lr=0.177000, batch loss=0.338715, epoch loss=3.329501
Batch=839, step=5640, lr=0.176750, batch loss=0.314007, epoch loss=3.643507
Batch=899, step=5700, lr=0.176500, batch loss=0.276117, epoch loss=3.919624
Batch=959, step=5760, lr=0.176250, batch loss=0.210920, epoch loss=4.130544
Batch=1019, step=5820, lr=0.176000, batch loss=0.338285, epoch loss=4.468829
Batch=1079, step=5880, lr=0.175750, batch loss=0.192894, epoch loss=4.661723
Batch=1139, step=5940, lr=0.175500, batch loss=0.223885, epoch loss=4.885608
Batch=1199, step=6000, lr=0.175250, batch loss=0.189289, epoch loss=5.074897
Epoch=4, step=6000, lr=0.175250, epoch loss=5.074897
Batch=59, step=6060, lr=0.174750, batch loss=0.234879, epoch loss=0.234879
Batch=119, step=6120, lr=0.174750, batch loss=0.191515, epoch loss=0.426394
Batch=179, step=6180, lr=0.174500, batch loss=0.200940, epoch loss=0.627333
Batch=239, step=6240, lr=0.174250, batch loss=0.303182, epoch loss=0.930515
Batch=299, step=6300, lr=0.173750, batch loss=0.209316, epoch loss=1.139831
Batch=359, step=6360, lr=0.173750, batch loss=0.275404, epoch loss=1.415235
Batch=419, step=6420, lr=0.173500, batch loss=0.266649, epoch loss=1.681883
Batch=479, step=6480, lr=0.173250, batch loss=0.243295, epoch loss=1.925178
Batch=539, step=6540, lr=0.173000, batch loss=0.194838, epoch loss=2.120016
Batch=599, step=6600, lr=0.172750, batch loss=0.234280, epoch loss=2.354296
Batch=659, step=6660, lr=0.172500, batch loss=0.313130, epoch loss=2.667426
Batch=719, step=6720, lr=0.172250, batch loss=0.319737, epoch loss=2.987163
Batch=779, step=6780, lr=0.172000, batch loss=0.339074, epoch loss=3.326237
Batch=839, step=6840, lr=0.171500, batch loss=0.299817, epoch loss=3.626053
Batch=899, step=6900, lr=0.171500, batch loss=0.266971, epoch loss=3.893025
Batch=959, step=6960, lr=0.171250, batch loss=0.207961, epoch loss=4.100985
Batch=1019, step=7020, lr=0.171000, batch loss=0.327951, epoch loss=4.428936
Batch=1079, step=7080, lr=0.170750, batch loss=0.182794, epoch loss=4.611730
Batch=1139, step=7140, lr=0.170500, batch loss=0.216069, epoch loss=4.827799
Batch=1199, step=7200, lr=0.170250, batch loss=0.182211, epoch loss=5.010010
Epoch=5, step=7200, lr=0.170250, epoch loss=5.010010
Batch=59, step=7260, lr=0.170000, batch loss=0.238706, epoch loss=0.238706
Batch=119, step=7320, lr=0.169750, batch loss=0.180837, epoch loss=0.419543
Batch=179, step=7380, lr=0.169500, batch loss=0.195622, epoch loss=0.615166
Batch=239, step=7440, lr=0.169250, batch loss=0.291153, epoch loss=0.906318
Batch=299, step=7500, lr=0.169000, batch loss=0.207886, epoch loss=1.114205
Batch=359, step=7560, lr=0.168500, batch loss=0.260492, epoch loss=1.374697
Batch=419, step=7620, lr=0.168250, batch loss=0.254667, epoch loss=1.629364
Batch=479, step=7680, lr=0.168000, batch loss=0.238422, epoch loss=1.867786
Batch=539, step=7740, lr=0.168000, batch loss=0.184996, epoch loss=2.052782
Batch=599, step=7800, lr=0.167500, batch loss=0.224790, epoch loss=2.277572
Batch=659, step=7860, lr=0.167250, batch loss=0.305281, epoch loss=2.582853
Batch=719, step=7920, lr=0.167250, batch loss=0.310461, epoch loss=2.893314
Batch=779, step=7980, lr=0.166750, batch loss=0.330289, epoch loss=3.223603
Batch=839, step=8040, lr=0.166500, batch loss=0.292951, epoch loss=3.516554
Batch=899, step=8100, lr=0.166500, batch loss=0.261591, epoch loss=3.778145
Batch=959, step=8160, lr=0.166250, batch loss=0.201027, epoch loss=3.979172
Batch=1019, step=8220, lr=0.166000, batch loss=0.323034, epoch loss=4.302207
Batch=1079, step=8280, lr=0.165750, batch loss=0.176688, epoch loss=4.478895
Batch=1139, step=8340, lr=0.165500, batch loss=0.208431, epoch loss=4.687326
Batch=1199, step=8400, lr=0.165250, batch loss=0.176772, epoch loss=4.864098
Epoch=6, step=8400, lr=0.165250, epoch loss=4.864098
Batch=59, step=8460, lr=0.165000, batch loss=0.223150, epoch loss=0.223150
Batch=119, step=8520, lr=0.164750, batch loss=0.178522, epoch loss=0.401672
Batch=179, step=8580, lr=0.164250, batch loss=0.187746, epoch loss=0.589419
Batch=239, step=8640, lr=0.164250, batch loss=0.276770, epoch loss=0.866189
Batch=299, step=8700, lr=0.164000, batch loss=0.191656, epoch loss=1.057845
Batch=359, step=8760, lr=0.163750, batch loss=0.247883, epoch loss=1.305727
Batch=419, step=8820, lr=0.163500, batch loss=0.243864, epoch loss=1.549591
Batch=479, step=8880, lr=0.163250, batch loss=0.229888, epoch loss=1.779479
Batch=539, step=8940, lr=0.163000, batch loss=0.176655, epoch loss=1.956134
Batch=599, step=9000, lr=0.162750, batch loss=0.219287, epoch loss=2.175421
Batch=659, step=9060, lr=0.162250, batch loss=0.293222, epoch loss=2.468643
Batch=719, step=9120, lr=0.162250, batch loss=0.296817, epoch loss=2.765460
Batch=779, step=9180, lr=0.162000, batch loss=0.314091, epoch loss=3.079551
Batch=839, step=9240, lr=0.161750, batch loss=0.281611, epoch loss=3.361162
Batch=899, step=9300, lr=0.161500, batch loss=0.252011, epoch loss=3.613173
Batch=959, step=9360, lr=0.161250, batch loss=0.187172, epoch loss=3.800344
Batch=1019, step=9420, lr=0.161000, batch loss=0.318605, epoch loss=4.118949
Batch=1079, step=9480, lr=0.160750, batch loss=0.184389, epoch loss=4.303339
Batch=1139, step=9540, lr=0.160500, batch loss=0.207248, epoch loss=4.510587
Batch=1199, step=9600, lr=0.160250, batch loss=0.165851, epoch loss=4.676438
Epoch=7, step=9600, lr=0.160250, epoch loss=4.676438
Batch=59, step=9660, lr=0.160000, batch loss=0.201011, epoch loss=0.201011
Batch=119, step=9720, lr=0.159750, batch loss=0.162348, epoch loss=0.363359
Batch=179, step=9780, lr=0.159500, batch loss=0.179055, epoch loss=0.542414
Batch=239, step=9840, lr=0.159250, batch loss=0.260475, epoch loss=0.802890
Batch=299, step=9900, lr=0.159000, batch loss=0.187038, epoch loss=0.989928
Batch=359, step=9960, lr=0.158750, batch loss=0.240692, epoch loss=1.230620
Batch=419, step=10020, lr=0.158500, batch loss=0.231369, epoch loss=1.461988
Batch=479, step=10080, lr=0.158250, batch loss=0.211788, epoch loss=1.673776
Batch=539, step=10140, lr=0.157750, batch loss=0.171621, epoch loss=1.845397
Batch=599, step=10200, lr=0.157750, batch loss=0.199087, epoch loss=2.044484
Batch=659, step=10260, lr=0.157500, batch loss=0.281703, epoch loss=2.326187
Batch=719, step=10320, lr=0.157000, batch loss=0.279463, epoch loss=2.605649
Batch=779, step=10380, lr=0.156750, batch loss=0.300514, epoch loss=2.906163
Batch=839, step=10440, lr=0.156750, batch loss=0.269851, epoch loss=3.176014
Batch=899, step=10500, lr=0.156250, batch loss=0.240273, epoch loss=3.416287
Batch=959, step=10560, lr=0.156000, batch loss=0.196456, epoch loss=3.612743
Batch=1019, step=10620, lr=0.155750, batch loss=0.278556, epoch loss=3.891299
Batch=1079, step=10680, lr=0.155500, batch loss=0.148438, epoch loss=4.039738
Batch=1139, step=10740, lr=0.155250, batch loss=0.180302, epoch loss=4.220040
Batch=1199, step=10800, lr=0.155000, batch loss=0.163946, epoch loss=4.383986
Epoch=8, step=10800, lr=0.155000, epoch loss=4.383986
Batch=59, step=10860, lr=0.155000, batch loss=0.189845, epoch loss=0.189845
Batch=119, step=10920, lr=0.154750, batch loss=0.164008, epoch loss=0.353853
Batch=179, step=10980, lr=0.154250, batch loss=0.165827, epoch loss=0.519680
Batch=239, step=11040, lr=0.154250, batch loss=0.242410, epoch loss=0.762090
Batch=299, step=11100, lr=0.154000, batch loss=0.165623, epoch loss=0.927713
Batch=359, step=11160, lr=0.153750, batch loss=0.222249, epoch loss=1.149962
Batch=419, step=11220, lr=0.153500, batch loss=0.230128, epoch loss=1.380090
Batch=479, step=11280, lr=0.153250, batch loss=0.200685, epoch loss=1.580776
Batch=539, step=11340, lr=0.153000, batch loss=0.160541, epoch loss=1.741317
Batch=599, step=11400, lr=0.152500, batch loss=0.181849, epoch loss=1.923166
Batch=659, step=11460, lr=0.152250, batch loss=0.262816, epoch loss=2.185982
Batch=719, step=11520, lr=0.152250, batch loss=0.256633, epoch loss=2.442615
Batch=779, step=11580, lr=0.152000, batch loss=0.270417, epoch loss=2.713032
Batch=839, step=11640, lr=0.151500, batch loss=0.254997, epoch loss=2.968029
Batch=899, step=11700, lr=0.151500, batch loss=0.215903, epoch loss=3.183933
Batch=959, step=11760, lr=0.151250, batch loss=0.172470, epoch loss=3.356402
Batch=1019, step=11820, lr=0.150750, batch loss=0.259426, epoch loss=3.615829
Batch=1079, step=11880, lr=0.150750, batch loss=0.138782, epoch loss=3.754611
Batch=1139, step=11940, lr=0.150500, batch loss=0.172607, epoch loss=3.927218
Batch=1199, step=12000, lr=0.150250, batch loss=0.137637, epoch loss=4.064855
Epoch=9, step=12000, lr=0.150250, epoch loss=4.064855
Batch=59, step=12060, lr=0.150000, batch loss=0.161948, epoch loss=0.161948
Batch=119, step=12120, lr=0.149750, batch loss=0.134695, epoch loss=0.296643
Batch=179, step=12180, lr=0.149250, batch loss=0.149643, epoch loss=0.446286
Batch=239, step=12240, lr=0.149000, batch loss=0.218118, epoch loss=0.664404
Batch=299, step=12300, lr=0.149000, batch loss=0.139086, epoch loss=0.803490
Batch=359, step=12360, lr=0.148750, batch loss=0.198551, epoch loss=1.002041
Batch=419, step=12420, lr=0.148250, batch loss=0.205806, epoch loss=1.207846
Batch=479, step=12480, lr=0.148250, batch loss=0.176440, epoch loss=1.384286
Batch=539, step=12540, lr=0.148000, batch loss=0.142073, epoch loss=1.526359
Batch=599, step=12600, lr=0.147500, batch loss=0.147371, epoch loss=1.673729
Batch=659, step=12660, lr=0.147250, batch loss=0.225915, epoch loss=1.899645
Batch=719, step=12720, lr=0.147250, batch loss=0.236802, epoch loss=2.136447
Batch=779, step=12780, lr=0.146750, batch loss=0.261287, epoch loss=2.397735
Batch=839, step=12840, lr=0.146750, batch loss=0.233643, epoch loss=2.631378
Batch=899, step=12900, lr=0.146250, batch loss=0.222928, epoch loss=2.854306
Batch=959, step=12960, lr=0.146250, batch loss=0.141588, epoch loss=2.995894
Batch=1019, step=13020, lr=0.145750, batch loss=0.225250, epoch loss=3.221144
Batch=1079, step=13080, lr=0.145500, batch loss=0.103723, epoch loss=3.324867
Batch=1139, step=13140, lr=0.145500, batch loss=0.140237, epoch loss=3.465105
Batch=1199, step=13200, lr=0.145000, batch loss=0.118206, epoch loss=3.583311
Epoch=10, step=13200, lr=0.145000, epoch loss=3.583311
Batch=59, step=13260, lr=0.145000, batch loss=0.137032, epoch loss=0.137032
Batch=119, step=13320, lr=0.144750, batch loss=0.123776, epoch loss=0.260808
Batch=179, step=13380, lr=0.144250, batch loss=0.125655, epoch loss=0.386463
Batch=239, step=13440, lr=0.144000, batch loss=0.187201, epoch loss=0.573664
Batch=299, step=13500, lr=0.144000, batch loss=0.118065, epoch loss=0.691729
Batch=359, step=13560, lr=0.143500, batch loss=0.164598, epoch loss=0.856327
Batch=419, step=13620, lr=0.143250, batch loss=0.187062, epoch loss=1.043389
Batch=479, step=13680, lr=0.143000, batch loss=0.136329, epoch loss=1.179718
Batch=539, step=13740, lr=0.143000, batch loss=0.115717, epoch loss=1.295435
Batch=599, step=13800, lr=0.142750, batch loss=0.117711, epoch loss=1.413146
Batch=659, step=13860, lr=0.142250, batch loss=0.173902, epoch loss=1.587048
Batch=719, step=13920, lr=0.142250, batch loss=0.167595, epoch loss=1.754644
Batch=779, step=13980, lr=0.142000, batch loss=0.177945, epoch loss=1.932589
Batch=839, step=14040, lr=0.141750, batch loss=0.194527, epoch loss=2.127116
Batch=899, step=14100, lr=0.141500, batch loss=0.216352, epoch loss=2.343468
Batch=959, step=14160, lr=0.141250, batch loss=0.102299, epoch loss=2.445767
Batch=1019, step=14220, lr=0.140750, batch loss=0.191467, epoch loss=2.637234
Batch=1079, step=14280, lr=0.140750, batch loss=0.083789, epoch loss=2.721023
Batch=1139, step=14340, lr=0.140500, batch loss=0.145301, epoch loss=2.866324
Batch=1199, step=14400, lr=0.140250, batch loss=0.084848, epoch loss=2.951172
Epoch=11, step=14400, lr=0.140250, epoch loss=2.951172
Batch=59, step=14460, lr=0.140000, batch loss=0.107340, epoch loss=0.107340
Batch=119, step=14520, lr=0.139750, batch loss=0.101836, epoch loss=0.209175
Batch=179, step=14580, lr=0.139500, batch loss=0.100674, epoch loss=0.309849
Batch=239, step=14640, lr=0.139250, batch loss=0.138016, epoch loss=0.447865
Batch=299, step=14700, lr=0.139000, batch loss=0.073334, epoch loss=0.521199
Batch=359, step=14760, lr=0.138750, batch loss=0.118631, epoch loss=0.639830
Batch=419, step=14820, lr=0.138500, batch loss=0.129291, epoch loss=0.769121
Batch=479, step=14880, lr=0.138250, batch loss=0.097052, epoch loss=0.866173
Batch=539, step=14940, lr=0.138000, batch loss=0.108625, epoch loss=0.974798
Batch=599, step=15000, lr=0.137750, batch loss=0.083268, epoch loss=1.058066
Batch=659, step=15060, lr=0.137250, batch loss=0.125170, epoch loss=1.183235
Batch=719, step=15120, lr=0.137250, batch loss=0.114246, epoch loss=1.297482
Batch=779, step=15180, lr=0.137000, batch loss=0.117461, epoch loss=1.414943
Batch=839, step=15240, lr=0.136750, batch loss=0.158827, epoch loss=1.573769
Batch=899, step=15300, lr=0.136500, batch loss=0.282743, epoch loss=1.856512
Batch=959, step=15360, lr=0.136000, batch loss=0.063581, epoch loss=1.920093
Batch=1019, step=15420, lr=0.136000, batch loss=0.143259, epoch loss=2.063352
Batch=1079, step=15480, lr=0.135750, batch loss=0.041341, epoch loss=2.104693
Batch=1139, step=15540, lr=0.135500, batch loss=0.098769, epoch loss=2.203462
Batch=1199, step=15600, lr=0.135250, batch loss=0.057616, epoch loss=2.261078
Epoch=12, step=15600, lr=0.135250, epoch loss=2.261078
Batch=59, step=15660, lr=0.135000, batch loss=0.070297, epoch loss=0.070297
Batch=119, step=15720, lr=0.134750, batch loss=0.088893, epoch loss=0.159190
Batch=179, step=15780, lr=0.134500, batch loss=0.078533, epoch loss=0.237723
Batch=239, step=15840, lr=0.134250, batch loss=0.088575, epoch loss=0.326298
Batch=299, step=15900, lr=0.134000, batch loss=0.044654, epoch loss=0.370952
Batch=359, step=15960, lr=0.133750, batch loss=0.093026, epoch loss=0.463978
Batch=419, step=16020, lr=0.133500, batch loss=0.136238, epoch loss=0.600216
Batch=479, step=16080, lr=0.133000, batch loss=0.044867, epoch loss=0.645083
Batch=539, step=16140, lr=0.133000, batch loss=0.039963, epoch loss=0.685046
Batch=599, step=16200, lr=0.132750, batch loss=0.053869, epoch loss=0.738915
Batch=659, step=16260, lr=0.132500, batch loss=0.083653, epoch loss=0.822567
Batch=719, step=16320, lr=0.132250, batch loss=0.134939, epoch loss=0.957506
Batch=779, step=16380, lr=0.132000, batch loss=0.340476, epoch loss=1.297983
Batch=839, step=16440, lr=0.131500, batch loss=0.093169, epoch loss=1.391151
Batch=899, step=16500, lr=0.131500, batch loss=0.075781, epoch loss=1.466932
Batch=959, step=16560, lr=0.131250, batch loss=0.035143, epoch loss=1.502075
Batch=1019, step=16620, lr=0.131000, batch loss=0.085393, epoch loss=1.587467
Batch=1079, step=16680, lr=0.130750, batch loss=0.027068, epoch loss=1.614536
Batch=1139, step=16740, lr=0.130500, batch loss=0.059802, epoch loss=1.674338
Batch=1199, step=16800, lr=0.130250, batch loss=0.031448, epoch loss=1.705786
Epoch=13, step=16800, lr=0.130250, epoch loss=1.705786
Batch=59, step=16860, lr=0.130000, batch loss=0.038068, epoch loss=0.038068
Batch=119, step=16920, lr=0.129750, batch loss=0.046430, epoch loss=0.084498
Batch=179, step=16980, lr=0.129500, batch loss=0.048255, epoch loss=0.132753
Batch=239, step=17040, lr=0.129250, batch loss=0.074348, epoch loss=0.207100
Batch=299, step=17100, lr=0.129000, batch loss=0.078562, epoch loss=0.285662
Batch=359, step=17160, lr=0.128750, batch loss=0.048412, epoch loss=0.334074
Batch=419, step=17220, lr=0.128500, batch loss=0.046923, epoch loss=0.380997
Batch=479, step=17280, lr=0.128250, batch loss=0.031042, epoch loss=0.412039
Batch=539, step=17340, lr=0.128000, batch loss=0.053814, epoch loss=0.465853
Batch=599, step=17400, lr=0.127750, batch loss=0.034324, epoch loss=0.500177
Batch=659, step=17460, lr=0.127500, batch loss=0.047042, epoch loss=0.547219
Batch=719, step=17520, lr=0.127250, batch loss=0.056882, epoch loss=0.604101
Batch=779, step=17580, lr=0.127000, batch loss=0.131596, epoch loss=0.735697
Batch=839, step=17640, lr=0.126750, batch loss=0.083158, epoch loss=0.818854
Batch=899, step=17700, lr=0.126500, batch loss=0.105467, epoch loss=0.924321
Batch=959, step=17760, lr=0.126250, batch loss=0.025331, epoch loss=0.949652
Batch=1019, step=17820, lr=0.126000, batch loss=0.051442, epoch loss=1.001093
Batch=1079, step=17880, lr=0.125750, batch loss=0.024719, epoch loss=1.025813
Batch=1139, step=17940, lr=0.125500, batch loss=0.045582, epoch loss=1.071395
Batch=1199, step=18000, lr=0.125250, batch loss=0.019161, epoch loss=1.090556
Epoch=14, step=18000, lr=0.125250, epoch loss=1.090556
Batch=59, step=18060, lr=0.125000, batch loss=0.011729, epoch loss=0.011729
Batch=119, step=18120, lr=0.124750, batch loss=0.019209, epoch loss=0.030937
Batch=179, step=18180, lr=0.124500, batch loss=0.028215, epoch loss=0.059152
Batch=239, step=18240, lr=0.124250, batch loss=0.032661, epoch loss=0.091813
Batch=299, step=18300, lr=0.124000, batch loss=0.007552, epoch loss=0.099365
Batch=359, step=18360, lr=0.123750, batch loss=0.023019, epoch loss=0.122384
Batch=419, step=18420, lr=0.123500, batch loss=0.026714, epoch loss=0.149098
Batch=479, step=18480, lr=0.123250, batch loss=0.014553, epoch loss=0.163651
Batch=539, step=18540, lr=0.123000, batch loss=0.020496, epoch loss=0.184148
Batch=599, step=18600, lr=0.122750, batch loss=0.028088, epoch loss=0.212235
Batch=659, step=18660, lr=0.122500, batch loss=0.022224, epoch loss=0.234459
Batch=719, step=18720, lr=0.122250, batch loss=0.032811, epoch loss=0.267270
Batch=779, step=18780, lr=0.122000, batch loss=0.064353, epoch loss=0.331624
Batch=839, step=18840, lr=0.121750, batch loss=0.051020, epoch loss=0.382643
Batch=899, step=18900, lr=0.121500, batch loss=0.053971, epoch loss=0.436614
Batch=959, step=18960, lr=0.121250, batch loss=0.013896, epoch loss=0.450510
Batch=1019, step=19020, lr=0.121000, batch loss=0.021924, epoch loss=0.472434
Batch=1079, step=19080, lr=0.120750, batch loss=0.009947, epoch loss=0.482381
Batch=1139, step=19140, lr=0.120500, batch loss=0.021954, epoch loss=0.504335
Batch=1199, step=19200, lr=0.120250, batch loss=0.008182, epoch loss=0.512517
Epoch=15, step=19200, lr=0.120250, epoch loss=0.512517
Batch=59, step=19260, lr=0.120000, batch loss=0.004141, epoch loss=0.004141
Batch=119, step=19320, lr=0.119750, batch loss=0.011198, epoch loss=0.015339
Batch=179, step=19380, lr=0.119500, batch loss=0.019984, epoch loss=0.035324
Batch=239, step=19440, lr=0.119250, batch loss=0.021569, epoch loss=0.056893
Batch=299, step=19500, lr=0.119000, batch loss=0.019825, epoch loss=0.076718
Batch=359, step=19560, lr=0.118750, batch loss=0.035974, epoch loss=0.112693
Batch=419, step=19620, lr=0.118500, batch loss=0.020643, epoch loss=0.133336
Batch=479, step=19680, lr=0.118250, batch loss=0.007084, epoch loss=0.140420
Batch=539, step=19740, lr=0.118000, batch loss=0.023052, epoch loss=0.163472
Batch=599, step=19800, lr=0.117750, batch loss=0.030262, epoch loss=0.193734
Batch=659, step=19860, lr=0.117250, batch loss=0.017596, epoch loss=0.211330
Batch=719, step=19920, lr=0.117250, batch loss=0.037624, epoch loss=0.248955
Batch=779, step=19980, lr=0.117000, batch loss=0.083576, epoch loss=0.332531
Batch=839, step=20040, lr=0.116750, batch loss=0.029789, epoch loss=0.362320
Batch=899, step=20100, lr=0.116500, batch loss=0.034579, epoch loss=0.396899
Batch=959, step=20160, lr=0.116250, batch loss=0.011771, epoch loss=0.408670
Batch=1019, step=20220, lr=0.116000, batch loss=0.017286, epoch loss=0.425956
Batch=1079, step=20280, lr=0.115750, batch loss=0.001699, epoch loss=0.427655
Batch=1139, step=20340, lr=0.115500, batch loss=0.014775, epoch loss=0.442431
Batch=1199, step=20400, lr=0.115250, batch loss=0.005512, epoch loss=0.447942
Epoch=16, step=20400, lr=0.115250, epoch loss=0.447942
Batch=59, step=20460, lr=0.115000, batch loss=0.002666, epoch loss=0.002666
Batch=119, step=20520, lr=0.114750, batch loss=0.009762, epoch loss=0.012428
Batch=179, step=20580, lr=0.114500, batch loss=0.025573, epoch loss=0.038002
Batch=239, step=20640, lr=0.114250, batch loss=0.014387, epoch loss=0.052389
Batch=299, step=20700, lr=0.114000, batch loss=0.002984, epoch loss=0.055373
Batch=359, step=20760, lr=0.113750, batch loss=0.013698, epoch loss=0.069071
Batch=419, step=20820, lr=0.113500, batch loss=0.014070, epoch loss=0.083141
Batch=479, step=20880, lr=0.113250, batch loss=0.004555, epoch loss=0.087695
Batch=539, step=20940, lr=0.113000, batch loss=0.015671, epoch loss=0.103366
Batch=599, step=21000, lr=0.112750, batch loss=0.018014, epoch loss=0.121380
Batch=659, step=21060, lr=0.112500, batch loss=0.014081, epoch loss=0.135462
Batch=719, step=21120, lr=0.112250, batch loss=0.042977, epoch loss=0.178439
Batch=779, step=21180, lr=0.112000, batch loss=0.070354, epoch loss=0.248792
Batch=839, step=21240, lr=0.111750, batch loss=0.024995, epoch loss=0.273787
Batch=899, step=21300, lr=0.111500, batch loss=0.027954, epoch loss=0.301741
Batch=959, step=21360, lr=0.111250, batch loss=0.009872, epoch loss=0.311613
Batch=1019, step=21420, lr=0.111000, batch loss=0.011198, epoch loss=0.322811
Batch=1079, step=21480, lr=0.110750, batch loss=0.001124, epoch loss=0.323935
Batch=1139, step=21540, lr=0.110500, batch loss=0.012675, epoch loss=0.336609
Batch=1199, step=21600, lr=0.110250, batch loss=0.005052, epoch loss=0.341661
Epoch=17, step=21600, lr=0.110250, epoch loss=0.341661
Batch=59, step=21660, lr=0.110000, batch loss=0.002208, epoch loss=0.002208
Batch=119, step=21720, lr=0.109750, batch loss=0.006445, epoch loss=0.008654
Batch=179, step=21780, lr=0.109500, batch loss=0.012407, epoch loss=0.021061
Batch=239, step=21840, lr=0.109250, batch loss=0.011774, epoch loss=0.032835
Batch=299, step=21900, lr=0.109000, batch loss=0.011709, epoch loss=0.044544
Batch=359, step=21960, lr=0.108750, batch loss=0.013137, epoch loss=0.057681
Batch=419, step=22020, lr=0.108500, batch loss=0.012708, epoch loss=0.070390
Batch=479, step=22080, lr=0.108250, batch loss=0.002611, epoch loss=0.073001
Batch=539, step=22140, lr=0.108000, batch loss=0.018728, epoch loss=0.091729
Batch=599, step=22200, lr=0.107750, batch loss=0.018385, epoch loss=0.110115
Batch=659, step=22260, lr=0.107500, batch loss=0.013468, epoch loss=0.123583
Batch=719, step=22320, lr=0.107250, batch loss=0.018143, epoch loss=0.141725
Batch=779, step=22380, lr=0.106750, batch loss=0.024167, epoch loss=0.165893
Batch=839, step=22440, lr=0.106500, batch loss=0.026545, epoch loss=0.192437
Batch=899, step=22500, lr=0.106500, batch loss=0.025016, epoch loss=0.217453
Batch=959, step=22560, lr=0.106250, batch loss=0.009597, epoch loss=0.227050
Batch=1019, step=22620, lr=0.106000, batch loss=0.009382, epoch loss=0.236432
Batch=1079, step=22680, lr=0.105750, batch loss=0.001702, epoch loss=0.238134
Batch=1139, step=22740, lr=0.105500, batch loss=0.010664, epoch loss=0.248798
Batch=1199, step=22800, lr=0.105250, batch loss=0.005019, epoch loss=0.253817
Epoch=18, step=22800, lr=0.105250, epoch loss=0.253817
Batch=59, step=22860, lr=0.104750, batch loss=0.002421, epoch loss=0.002421
Batch=119, step=22920, lr=0.104750, batch loss=0.004624, epoch loss=0.007045
Batch=179, step=22980, lr=0.104500, batch loss=0.012429, epoch loss=0.019474
Batch=239, step=23040, lr=0.104000, batch loss=0.008250, epoch loss=0.027724
Batch=299, step=23100, lr=0.104000, batch loss=0.008700, epoch loss=0.036424
Batch=359, step=23160, lr=0.103750, batch loss=0.012004, epoch loss=0.048428
Batch=419, step=23220, lr=0.103250, batch loss=0.011420, epoch loss=0.059848
Batch=479, step=23280, lr=0.103000, batch loss=0.002800, epoch loss=0.062648
Batch=539, step=23340, lr=0.103000, batch loss=0.016255, epoch loss=0.078902
Batch=599, step=23400, lr=0.102500, batch loss=0.013594, epoch loss=0.092496
Batch=659, step=23460, lr=0.102500, batch loss=0.010843, epoch loss=0.103339
Batch=719, step=23520, lr=0.102000, batch loss=0.014685, epoch loss=0.118024
Batch=779, step=23580, lr=0.102000, batch loss=0.021267, epoch loss=0.139291
Batch=839, step=23640, lr=0.101750, batch loss=0.024872, epoch loss=0.164163
Batch=899, step=23700, lr=0.101500, batch loss=0.022486, epoch loss=0.186649
Batch=959, step=23760, lr=0.101250, batch loss=0.007810, epoch loss=0.194459
Batch=1019, step=23820, lr=0.101000, batch loss=0.008493, epoch loss=0.202953
Batch=1079, step=23880, lr=0.100750, batch loss=0.000539, epoch loss=0.203492
Batch=1139, step=23940, lr=0.100500, batch loss=0.009421, epoch loss=0.212912
Batch=1199, step=24000, lr=0.100250, batch loss=0.004473, epoch loss=0.217386
Epoch=19, step=24000, lr=0.100250, epoch loss=0.217386


Half-moons scatterplot and decision boundary:
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"/usr/bin/env" "bash" "-c" "opam exec -- dune build @install @check @runtest && rm -rf _build" failed with exit status 1
2025-05-19 16:44.29: Job failed: Failed: Build failed