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Organisationsahrefsocannl3bbef1 ()fedora-42-5.3_opam-2.3

fedora-42-5.3_opam-2.3

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2025-05-18 21:01.37: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (3bbef1587191f540e2f0d222795d9686d7f042fc) (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 3bbef158
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


2025-05-18 21:01.37: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373-fedora-42-5.3_opam-2.3-cdc9572ad54e4d4bf194acfcdfaa690c"
2025-05-18 21:01.37: 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"))
)


2025-05-18 21:01.37: Waiting for resource in pool OCluster
2025-05-18 21:01.37: Waiting for worker…
2025-05-18 21:01.38: Got resource from pool OCluster
Building on laodoke.caelum.ci.dev
HEAD is now at f1ca041a Logging support for the Metal backend, by Gemini
HEAD is now at 3bbef158 Metal logging: failsafe for "internal compiler error"


(from ocaml/opam:fedora-42-ocaml-5.3@sha256:340ef8413fe195bbf54fd669127e946ef9bf60ec9b789cfee1f165e261f69373)
2025-05-18 21:03.48 ---> saved as "58e80f2943667cc892930b8f00145b341640b9631e46b0e990690977929d47d4"


/: (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% | 139.7 KiB/s |  24.3 KiB |  00m00s
Fedora 42 - x86_64                     100% | 183.1 KiB/s |  24.9 KiB |  00m00s
Fedora 42 - x86_64 - Updates           100% |   7.0 MiB/s |   5.2 MiB |  00m01s
Fedora 42 - x86_64                     100% | 286.4 KiB/s | 310.5 KiB |  00m01s
Repositories loaded.
Nothing to do.
Package "findutils-1:4.10.0-5.fc42.x86_64" is already installed.


2025-05-18 21:04.06 ---> saved as "5e75f4f90bede632f1905a7c2c6dd18b38094c39f21cf56cfd80e66f2a5ea1fb"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-18 21:04.06 ---> saved as "99c48dd0c90841dd0557a3605ead22147b57247e14e3720a707113a3fd5cb79d"


/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
2025-05-18 21:05.06 ---> saved as "f466099dbad0be430d5d88b3056e1b5546981294ac309650866ef1379cd6d212"


/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
2025-05-18 21:05.07 ---> saved as "9495bb6675cefd0fde9c3d3172875d2f69d43b4b48aa2c1fc3cbbdc7685c23a4"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-18 21:05.08 ---> saved as "32bd88dfd4a72ae99f6d3d856e0c727304b5b119984d04b7c88a6f9d56b49fb7"


/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)
2025-05-18 21:05.50 ---> saved as "258d56210f3e71e9897edd6a05b53422b4d8b3fc50c99e4e525a14464782f7cb"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-18 21:05.51 ---> saved as "488e452321e667b2c669dfc12a8ada5a6310bbee470acf388851e055b66a2173"


/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)
2025-05-18 21:05.54 ---> saved as "8fa86840d1e6aa4b43a4e44d7dd54fd178009a5a8b2207e2f35552de65a7b30f"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-18 21:05.55 ---> saved as "5a4511450e9e99a38c72c663d411bec8074130faebe05d7fce0da8e8c5c58f5f"


/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% | 306.2 KiB/s |  28.8 KiB |  00m00s
- --------------------------------------------------------------------------------
- [1/1] Total                             100% |  82.7 KiB/s |  28.8 KiB |  00m00s
- Running transaction
- [1/3] Verify package files              100% |   1.0 KiB/s |   1.0   B |  00m00s
- [2/3] Prepare transaction               100% |  21.0   B/s |   1.0   B |  00m00s
- [3/3] Installing libffi-devel-0:3.4.6-5 100% | 344.5 KiB/s |  34.8 KiB |  00m00s
- Complete!
+ /usr/sbin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.6-5.fc42.x86_64
2025-05-18 21:06.23 ---> saved as "1386309c1462d1dcd62997026eeace65f0e381655874263b8a00df6fbb6f08f5"


/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 dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> 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 printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (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 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 printbox.0.12
-> 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-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed pprint.20230830
-> installed result.1.5
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> 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 base.v0.17.2
-> installed printbox-text.0.12
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.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_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_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-18 21:08.53 ---> saved as "09ac8a187b2b0d600987c09f26ba2808673f4138e88e25a28ffa60ec5c83604f"


/src: (copy (src .) (dst /src))
2025-05-18 21:08.55 ---> saved as "b006ccb41580babf32a84f7f7a90d83eb1102d231de4a99322078ae0f7249ac9"


/src: (run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
(cd _build/default/test_ppx && ./test_ppx_op_expected.exe)


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9930ea3b121b2e51fca1ad26723de3e7/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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_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/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/d176eb89a4920cda0dc37a6b1e9ef93d/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/d176eb89a4920cda0dc37a6b1e9ef93d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!Retrieving commandline, environment, or config file variable ocannl_debug_log_to_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=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199250, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199000, batch loss=0.846671, epoch loss=35.616880
Batch=299, step=300, lr=0.198750, batch loss=1.454974, epoch loss=37.071854
Batch=359, step=360, lr=0.198500, batch loss=1.326898, epoch loss=38.398752
Batch=419, step=420, lr=0.198500, batch loss=0.621517, epoch loss=39.020269
Batch=479, step=480, lr=0.198250, batch loss=0.818626, epoch loss=39.838895
Batch=539, step=540, lr=0.197750, batch loss=0.697867, epoch loss=40.536762
Batch=599, step=600, lr=0.197500, batch loss=1.058439, epoch loss=41.595201
Batch=659, step=660, lr=0.197250, batch loss=0.484903, epoch loss=42.080103
Batch=719, step=720, lr=0.197000, batch loss=0.412327, epoch loss=42.492431
Batch=779, step=780, lr=0.196750, batch loss=0.472215, epoch loss=42.964645
Batch=839, step=840, lr=0.196500, batch loss=0.448894, epoch loss=43.413539
Batch=899, step=900, lr=0.196500, batch loss=0.387605, epoch loss=43.801143
Batch=959, step=960, lr=0.196000, batch loss=0.252699, epoch loss=44.053842
Batch=1019, step=1020, lr=0.196000, batch loss=0.478720, epoch loss=44.532563
Batch=1079, step=1080, lr=0.195500, batch loss=0.261612, epoch loss=44.794175
Batch=1139, step=1140, lr=0.195250, batch loss=0.341698, epoch loss=45.135873
Batch=1199, step=1200, lr=0.195000, batch loss=0.265880, epoch loss=45.401752
Epoch=0, step=1200, lr=0.195000, epoch loss=45.401752
Batch=59, step=1260, lr=0.194750, batch loss=0.265238, epoch loss=0.265238
Batch=119, step=1320, lr=0.194500, batch loss=0.203800, epoch loss=0.469039
Batch=179, step=1380, lr=0.194250, batch loss=0.246741, epoch loss=0.715780
Batch=239, step=1440, lr=0.194000, batch loss=0.348758, epoch loss=1.064538
Batch=299, step=1500, lr=0.193750, batch loss=0.241817, epoch loss=1.306355
Batch=359, step=1560, lr=0.193500, batch loss=0.314911, epoch loss=1.621267
Batch=419, step=1620, lr=0.193250, batch loss=0.311081, epoch loss=1.932348
Batch=479, step=1680, lr=0.193000, batch loss=0.275934, epoch loss=2.208281
Batch=539, step=1740, lr=0.192750, batch loss=0.211725, epoch loss=2.420006
Batch=599, step=1800, lr=0.192500, batch loss=0.260208, epoch loss=2.680214
Batch=659, step=1860, lr=0.192500, batch loss=0.377552, epoch loss=3.057766
Batch=719, step=1920, lr=0.192250, batch loss=0.359966, epoch loss=3.417732
Batch=779, step=1980, lr=0.191750, batch loss=0.387155, epoch loss=3.804887
Batch=839, step=2040, lr=0.191750, batch loss=0.349053, epoch loss=4.153940
Batch=899, step=2100, lr=0.191500, batch loss=0.325709, epoch loss=4.479649
Batch=959, step=2160, lr=0.191000, batch loss=0.252307, epoch loss=4.731956
Batch=1019, step=2220, lr=0.190750, batch loss=0.387345, epoch loss=5.119301
Batch=1079, step=2280, lr=0.190750, batch loss=0.207233, epoch loss=5.326534
Batch=1139, step=2340, lr=0.190500, batch loss=0.258812, epoch loss=5.585345
Batch=1199, step=2400, lr=0.190000, batch loss=0.212080, epoch loss=5.797425
Epoch=1, step=2400, lr=0.190000, epoch loss=5.797425
Batch=59, step=2460, lr=0.189750, batch loss=0.238475, epoch loss=0.238475
Batch=119, step=2520, lr=0.189750, batch loss=0.198641, epoch loss=0.437116
Batch=179, step=2580, lr=0.189250, batch loss=0.221040, epoch loss=0.658156
Batch=239, step=2640, lr=0.189000, batch loss=0.329587, epoch loss=0.987744
Batch=299, step=2700, lr=0.189000, batch loss=0.206803, epoch loss=1.194547
Batch=359, step=2760, lr=0.188500, batch loss=0.291492, epoch loss=1.486039
Batch=419, step=2820, lr=0.188500, batch loss=0.283819, epoch loss=1.769858
Batch=479, step=2880, lr=0.188250, batch loss=0.262339, epoch loss=2.032197
Batch=539, step=2940, lr=0.188000, batch loss=0.196298, epoch loss=2.228495
Batch=599, step=3000, lr=0.187750, batch loss=0.239703, epoch loss=2.468198
Batch=659, step=3060, lr=0.187250, batch loss=0.347519, epoch loss=2.815717
Batch=719, step=3120, lr=0.187250, batch loss=0.341312, epoch loss=3.157029
Batch=779, step=3180, lr=0.187000, batch loss=0.362571, epoch loss=3.519600
Batch=839, step=3240, lr=0.186750, batch loss=0.327357, epoch loss=3.846956
Batch=899, step=3300, lr=0.186250, batch loss=0.293464, epoch loss=4.140421
Batch=959, step=3360, lr=0.186250, batch loss=0.227982, epoch loss=4.368403
Batch=1019, step=3420, lr=0.186000, batch loss=0.344528, epoch loss=4.712931
Batch=1079, step=3480, lr=0.185750, batch loss=0.201819, epoch loss=4.914750
Batch=1139, step=3540, lr=0.185250, batch loss=0.252057, epoch loss=5.166807
Batch=1199, step=3600, lr=0.185250, batch loss=0.199397, epoch loss=5.366203
Epoch=2, step=3600, lr=0.185250, epoch loss=5.366203
Batch=59, step=3660, lr=0.185000, batch loss=0.234759, epoch loss=0.234759
Batch=119, step=3720, lr=0.184750, batch loss=0.195812, epoch loss=0.430571
Batch=179, step=3780, lr=0.184500, batch loss=0.214924, epoch loss=0.645495
Batch=239, step=3840, lr=0.184250, batch loss=0.319838, epoch loss=0.965333
Batch=299, step=3900, lr=0.184000, batch loss=0.209477, epoch loss=1.174810
Batch=359, step=3960, lr=0.183750, batch loss=0.296962, epoch loss=1.471772
Batch=419, step=4020, lr=0.183250, batch loss=0.303237, epoch loss=1.775009
Batch=479, step=4080, lr=0.183250, batch loss=0.257007, epoch loss=2.032016
Batch=539, step=4140, lr=0.182750, batch loss=0.198919, epoch loss=2.230935
Batch=599, step=4200, lr=0.182750, batch loss=0.235272, epoch loss=2.466207
Batch=659, step=4260, lr=0.182500, batch loss=0.333941, epoch loss=2.800148
Batch=719, step=4320, lr=0.182250, batch loss=0.338238, epoch loss=3.138386
Batch=779, step=4380, lr=0.181750, batch loss=0.353870, epoch loss=3.492256
Batch=839, step=4440, lr=0.181750, batch loss=0.316577, epoch loss=3.808834
Batch=899, step=4500, lr=0.181500, batch loss=0.287981, epoch loss=4.096815
Batch=959, step=4560, lr=0.181250, batch loss=0.232615, epoch loss=4.329430
Batch=1019, step=4620, lr=0.181000, batch loss=0.319939, epoch loss=4.649369
Batch=1079, step=4680, lr=0.180750, batch loss=0.189288, epoch loss=4.838657
Batch=1139, step=4740, lr=0.180250, batch loss=0.223651, epoch loss=5.062307
Batch=1199, step=4800, lr=0.180250, batch loss=0.196293, epoch loss=5.258601
Epoch=3, step=4800, lr=0.180250, epoch loss=5.258601
Batch=59, step=4860, lr=0.180000, batch loss=0.231458, epoch loss=0.231458
Batch=119, step=4920, lr=0.179750, batch loss=0.188320, epoch loss=0.419779
Batch=179, step=4980, lr=0.179250, batch loss=0.205876, epoch loss=0.625655
Batch=239, step=5040, lr=0.179250, batch loss=0.310317, epoch loss=0.935972
Batch=299, step=5100, lr=0.179000, batch loss=0.213582, epoch loss=1.149554
Batch=359, step=5160, lr=0.178750, batch loss=0.279889, epoch loss=1.429443
Batch=419, step=5220, lr=0.178500, batch loss=0.276937, epoch loss=1.706380
Batch=479, step=5280, lr=0.178000, batch loss=0.246021, epoch loss=1.952401
Batch=539, step=5340, lr=0.178000, batch loss=0.190749, epoch loss=2.143151
Batch=599, step=5400, lr=0.177500, batch loss=0.232060, epoch loss=2.375210
Batch=659, step=5460, lr=0.177500, batch loss=0.324127, epoch loss=2.699337
Batch=719, step=5520, lr=0.177250, batch loss=0.330254, epoch loss=3.029592
Batch=779, step=5580, lr=0.177000, batch loss=0.342188, epoch loss=3.371780
Batch=839, step=5640, lr=0.176750, batch loss=0.309516, epoch loss=3.681296
Batch=899, step=5700, lr=0.176500, batch loss=0.271653, epoch loss=3.952949
Batch=959, step=5760, lr=0.176250, batch loss=0.218942, epoch loss=4.171891
Batch=1019, step=5820, lr=0.176000, batch loss=0.330338, epoch loss=4.502229
Batch=1079, step=5880, lr=0.175750, batch loss=0.186508, epoch loss=4.688737
Batch=1139, step=5940, lr=0.175500, batch loss=0.220972, epoch loss=4.909709
Batch=1199, step=6000, lr=0.175250, batch loss=0.187146, epoch loss=5.096855
Epoch=4, step=6000, lr=0.175250, epoch loss=5.096855
Batch=59, step=6060, lr=0.175000, batch loss=0.224367, epoch loss=0.224367
Batch=119, step=6120, lr=0.174500, batch loss=0.185409, epoch loss=0.409776
Batch=179, step=6180, lr=0.174500, batch loss=0.201157, epoch loss=0.610933
Batch=239, step=6240, lr=0.174250, batch loss=0.303308, epoch loss=0.914241
Batch=299, step=6300, lr=0.173750, batch loss=0.206254, epoch loss=1.120496
Batch=359, step=6360, lr=0.173750, batch loss=0.266797, epoch loss=1.387293
Batch=419, step=6420, lr=0.173500, batch loss=0.261063, epoch loss=1.648356
Batch=479, step=6480, lr=0.173000, batch loss=0.237272, epoch loss=1.885627
Batch=539, step=6540, lr=0.172750, batch loss=0.186176, epoch loss=2.071803
Batch=599, step=6600, lr=0.172750, batch loss=0.227982, epoch loss=2.299785
Batch=659, step=6660, lr=0.172500, batch loss=0.316762, epoch loss=2.616547
Batch=719, step=6720, lr=0.172250, batch loss=0.315279, epoch loss=2.931826
Batch=779, step=6780, lr=0.172000, batch loss=0.332483, epoch loss=3.264309
Batch=839, step=6840, lr=0.171750, batch loss=0.304534, epoch loss=3.568843
Batch=899, step=6900, lr=0.171500, batch loss=0.267482, epoch loss=3.836325
Batch=959, step=6960, lr=0.171250, batch loss=0.211431, epoch loss=4.047756
Batch=1019, step=7020, lr=0.171000, batch loss=0.326171, epoch loss=4.373926
Batch=1079, step=7080, lr=0.170750, batch loss=0.174117, epoch loss=4.548044
Batch=1139, step=7140, lr=0.170500, batch loss=0.212815, epoch loss=4.760859
Batch=1199, step=7200, lr=0.170250, batch loss=0.190100, epoch loss=4.950960
Epoch=5, step=7200, lr=0.170250, epoch loss=4.950960
Batch=59, step=7260, lr=0.170000, batch loss=0.226093, epoch loss=0.226093
Batch=119, step=7320, lr=0.169750, batch loss=0.188639, epoch loss=0.414732
Batch=179, step=7380, lr=0.169500, batch loss=0.194815, epoch loss=0.609547
Batch=239, step=7440, lr=0.169250, batch loss=0.293537, epoch loss=0.903084
Batch=299, step=7500, lr=0.169000, batch loss=0.203663, epoch loss=1.106746
Batch=359, step=7560, lr=0.168750, batch loss=0.264517, epoch loss=1.371263
Batch=419, step=7620, lr=0.168500, batch loss=0.259205, epoch loss=1.630468
Batch=479, step=7680, lr=0.168250, batch loss=0.234753, epoch loss=1.865221
Batch=539, step=7740, lr=0.168000, batch loss=0.191045, epoch loss=2.056266
Batch=599, step=7800, lr=0.167750, batch loss=0.228091, epoch loss=2.284357
Batch=659, step=7860, lr=0.167500, batch loss=0.304999, epoch loss=2.589356
Batch=719, step=7920, lr=0.167250, batch loss=0.310454, epoch loss=2.899810
Batch=779, step=7980, lr=0.167000, batch loss=0.329270, epoch loss=3.229080
Batch=839, step=8040, lr=0.166750, batch loss=0.291832, epoch loss=3.520912
Batch=899, step=8100, lr=0.166500, batch loss=0.263211, epoch loss=3.784123
Batch=959, step=8160, lr=0.166250, batch loss=0.197848, epoch loss=3.981971
Batch=1019, step=8220, lr=0.166000, batch loss=0.321499, epoch loss=4.303470
Batch=1079, step=8280, lr=0.165750, batch loss=0.178037, epoch loss=4.481507
Batch=1139, step=8340, lr=0.165500, batch loss=0.208556, epoch loss=4.690063
Batch=1199, step=8400, lr=0.165250, batch loss=0.176978, epoch loss=4.867040
Epoch=6, step=8400, lr=0.165250, epoch loss=4.867040
Batch=59, step=8460, lr=0.165000, batch loss=0.224753, epoch loss=0.224753
Batch=119, step=8520, lr=0.164500, batch loss=0.177318, epoch loss=0.402071
Batch=179, step=8580, lr=0.164500, batch loss=0.187962, epoch loss=0.590034
Batch=239, step=8640, lr=0.164250, batch loss=0.277300, epoch loss=0.867333
Batch=299, step=8700, lr=0.164000, batch loss=0.184476, epoch loss=1.051810
Batch=359, step=8760, lr=0.163500, batch loss=0.246608, epoch loss=1.298418
Batch=419, step=8820, lr=0.163250, batch loss=0.240081, epoch loss=1.538498
Batch=479, step=8880, lr=0.163250, batch loss=0.215894, epoch loss=1.754393
Batch=539, step=8940, lr=0.163000, batch loss=0.175705, epoch loss=1.930098
Batch=599, step=9000, lr=0.162750, batch loss=0.213039, epoch loss=2.143136
Batch=659, step=9060, lr=0.162500, batch loss=0.296002, epoch loss=2.439139
Batch=719, step=9120, lr=0.162250, batch loss=0.293024, epoch loss=2.732163
Batch=779, step=9180, lr=0.162000, batch loss=0.309422, epoch loss=3.041585
Batch=839, step=9240, lr=0.161750, batch loss=0.284028, epoch loss=3.325613
Batch=899, step=9300, lr=0.161500, batch loss=0.250199, epoch loss=3.575812
Batch=959, step=9360, lr=0.161250, batch loss=0.192588, epoch loss=3.768400
Batch=1019, step=9420, lr=0.160750, batch loss=0.314417, epoch loss=4.082817
Batch=1079, step=9480, lr=0.160500, batch loss=0.188090, epoch loss=4.270907
Batch=1139, step=9540, lr=0.160250, batch loss=0.211237, epoch loss=4.482144
Batch=1199, step=9600, lr=0.160250, batch loss=0.166866, epoch loss=4.649010
Epoch=7, step=9600, lr=0.160250, epoch loss=4.649010
Batch=59, step=9660, lr=0.159750, batch loss=0.200148, epoch loss=0.200148
Batch=119, step=9720, lr=0.159500, batch loss=0.163465, epoch loss=0.363613
Batch=179, step=9780, lr=0.159500, batch loss=0.179387, epoch loss=0.543001
Batch=239, step=9840, lr=0.159250, batch loss=0.260903, epoch loss=0.803903
Batch=299, step=9900, lr=0.159000, batch loss=0.174277, epoch loss=0.978180
Batch=359, step=9960, lr=0.158750, batch loss=0.237427, epoch loss=1.215607
Batch=419, step=10020, lr=0.158500, batch loss=0.237545, epoch loss=1.453152
Batch=479, step=10080, lr=0.158250, batch loss=0.225845, epoch loss=1.678997
Batch=539, step=10140, lr=0.158000, batch loss=0.171431, epoch loss=1.850428
Batch=599, step=10200, lr=0.157750, batch loss=0.201057, epoch loss=2.051486
Batch=659, step=10260, lr=0.157250, batch loss=0.283424, epoch loss=2.334910
Batch=719, step=10320, lr=0.157250, batch loss=0.288204, epoch loss=2.623114
Batch=779, step=10380, lr=0.157000, batch loss=0.297032, epoch loss=2.920147
Batch=839, step=10440, lr=0.156750, batch loss=0.267041, epoch loss=3.187187
Batch=899, step=10500, lr=0.156500, batch loss=0.243702, epoch loss=3.430890
Batch=959, step=10560, lr=0.156250, batch loss=0.195331, epoch loss=3.626221
Batch=1019, step=10620, lr=0.155750, batch loss=0.283864, epoch loss=3.910085
Batch=1079, step=10680, lr=0.155750, batch loss=0.166859, epoch loss=4.076944
Batch=1139, step=10740, lr=0.155500, batch loss=0.200083, epoch loss=4.277027
Batch=1199, step=10800, lr=0.155250, batch loss=0.154482, epoch loss=4.431509
Epoch=8, step=10800, lr=0.155250, epoch loss=4.431509
Batch=59, step=10860, lr=0.155000, batch loss=0.177761, epoch loss=0.177761
Batch=119, step=10920, lr=0.154750, batch loss=0.151404, epoch loss=0.329165
Batch=179, step=10980, lr=0.154500, batch loss=0.166415, epoch loss=0.495580
Batch=239, step=11040, lr=0.154250, batch loss=0.240489, epoch loss=0.736068
Batch=299, step=11100, lr=0.154000, batch loss=0.174899, epoch loss=0.910968
Batch=359, step=11160, lr=0.153500, batch loss=0.218399, epoch loss=1.129367
Batch=419, step=11220, lr=0.153250, batch loss=0.218015, epoch loss=1.347382
Batch=479, step=11280, lr=0.153250, batch loss=0.208504, epoch loss=1.555886
Batch=539, step=11340, lr=0.153000, batch loss=0.160717, epoch loss=1.716604
Batch=599, step=11400, lr=0.152750, batch loss=0.182125, epoch loss=1.898729
Batch=659, step=11460, lr=0.152500, batch loss=0.265811, epoch loss=2.164540
Batch=719, step=11520, lr=0.152250, batch loss=0.259404, epoch loss=2.423944
Batch=779, step=11580, lr=0.152000, batch loss=0.271913, epoch loss=2.695857
Batch=839, step=11640, lr=0.151500, batch loss=0.257454, epoch loss=2.953311
Batch=899, step=11700, lr=0.151500, batch loss=0.212194, epoch loss=3.165505
Batch=959, step=11760, lr=0.151250, batch loss=0.170195, epoch loss=3.335700
Batch=1019, step=11820, lr=0.151000, batch loss=0.262818, epoch loss=3.598518
Batch=1079, step=11880, lr=0.150750, batch loss=0.139014, epoch loss=3.737531
Batch=1139, step=11940, lr=0.150500, batch loss=0.182665, epoch loss=3.920197
Batch=1199, step=12000, lr=0.150250, batch loss=0.139359, epoch loss=4.059556
Epoch=9, step=12000, lr=0.150250, epoch loss=4.059556
Batch=59, step=12060, lr=0.150000, batch loss=0.159283, epoch loss=0.159283
Batch=119, step=12120, lr=0.149750, batch loss=0.128689, epoch loss=0.287972
Batch=179, step=12180, lr=0.149500, batch loss=0.153306, epoch loss=0.441279
Batch=239, step=12240, lr=0.149000, batch loss=0.219834, epoch loss=0.661112
Batch=299, step=12300, lr=0.149000, batch loss=0.140491, epoch loss=0.801604
Batch=359, step=12360, lr=0.148750, batch loss=0.196759, epoch loss=0.998362
Batch=419, step=12420, lr=0.148500, batch loss=0.205313, epoch loss=1.203676
Batch=479, step=12480, lr=0.148250, batch loss=0.179787, epoch loss=1.383463
Batch=539, step=12540, lr=0.148000, batch loss=0.141842, epoch loss=1.525305
Batch=599, step=12600, lr=0.147750, batch loss=0.151343, epoch loss=1.676648
Batch=659, step=12660, lr=0.147500, batch loss=0.224174, epoch loss=1.900821
Batch=719, step=12720, lr=0.147250, batch loss=0.236790, epoch loss=2.137612
Batch=779, step=12780, lr=0.146750, batch loss=0.259380, epoch loss=2.396992
Batch=839, step=12840, lr=0.146750, batch loss=0.236594, epoch loss=2.633585
Batch=899, step=12900, lr=0.146500, batch loss=0.230614, epoch loss=2.864199
Batch=959, step=12960, lr=0.146250, batch loss=0.137297, epoch loss=3.001496
Batch=1019, step=13020, lr=0.146000, batch loss=0.214190, epoch loss=3.215686
Batch=1079, step=13080, lr=0.145750, batch loss=0.115593, epoch loss=3.331279
Batch=1139, step=13140, lr=0.145500, batch loss=0.151275, epoch loss=3.482554
Batch=1199, step=13200, lr=0.145250, batch loss=0.116664, epoch loss=3.599218
Epoch=10, step=13200, lr=0.145250, epoch loss=3.599218
Batch=59, step=13260, lr=0.145000, batch loss=0.133252, epoch loss=0.133252
Batch=119, step=13320, lr=0.144750, batch loss=0.107261, epoch loss=0.240512
Batch=179, step=13380, lr=0.144500, batch loss=0.126365, epoch loss=0.366877
Batch=239, step=13440, lr=0.144250, batch loss=0.185008, epoch loss=0.551885
Batch=299, step=13500, lr=0.144000, batch loss=0.117713, epoch loss=0.669598
Batch=359, step=13560, lr=0.143750, batch loss=0.164573, epoch loss=0.834171
Batch=419, step=13620, lr=0.143500, batch loss=0.189522, epoch loss=1.023692
Batch=479, step=13680, lr=0.143000, batch loss=0.137657, epoch loss=1.161350
Batch=539, step=13740, lr=0.143000, batch loss=0.117782, epoch loss=1.279132
Batch=599, step=13800, lr=0.142500, batch loss=0.120098, epoch loss=1.399230
Batch=659, step=13860, lr=0.142500, batch loss=0.177890, epoch loss=1.577120
Batch=719, step=13920, lr=0.142000, batch loss=0.173081, epoch loss=1.750201
Batch=779, step=13980, lr=0.142000, batch loss=0.180537, epoch loss=1.930738
Batch=839, step=14040, lr=0.141750, batch loss=0.202892, epoch loss=2.133631
Batch=899, step=14100, lr=0.141250, batch loss=0.220947, epoch loss=2.354578
Batch=959, step=14160, lr=0.141250, batch loss=0.101092, epoch loss=2.455670
Batch=1019, step=14220, lr=0.140750, batch loss=0.198059, epoch loss=2.653729
Batch=1079, step=14280, lr=0.140750, batch loss=0.079503, epoch loss=2.733232
Batch=1139, step=14340, lr=0.140500, batch loss=0.128965, epoch loss=2.862197
Batch=1199, step=14400, lr=0.140000, batch loss=0.086457, epoch loss=2.948654
Epoch=11, step=14400, lr=0.140000, epoch loss=2.948654
Batch=59, step=14460, lr=0.140000, batch loss=0.108736, epoch loss=0.108736
Batch=119, step=14520, lr=0.139750, batch loss=0.103661, epoch loss=0.212398
Batch=179, step=14580, lr=0.139500, batch loss=0.099764, epoch loss=0.312161
Batch=239, step=14640, lr=0.139250, batch loss=0.144450, epoch loss=0.456611
Batch=299, step=14700, lr=0.139000, batch loss=0.073385, epoch loss=0.529997
Batch=359, step=14760, lr=0.138750, batch loss=0.125083, epoch loss=0.655080
Batch=419, step=14820, lr=0.138500, batch loss=0.136044, epoch loss=0.791124
Batch=479, step=14880, lr=0.138000, batch loss=0.095607, epoch loss=0.886731
Batch=539, step=14940, lr=0.138000, batch loss=0.086124, epoch loss=0.972856
Batch=599, step=15000, lr=0.137750, batch loss=0.085170, epoch loss=1.058026
Batch=659, step=15060, lr=0.137500, batch loss=0.142361, epoch loss=1.200387
Batch=719, step=15120, lr=0.137250, batch loss=0.167825, epoch loss=1.368213
Batch=779, step=15180, lr=0.137000, batch loss=0.335601, epoch loss=1.703814
Batch=839, step=15240, lr=0.136750, batch loss=0.133777, epoch loss=1.837591
Batch=899, step=15300, lr=0.136500, batch loss=0.112016, epoch loss=1.949607
Batch=959, step=15360, lr=0.136250, batch loss=0.097716, epoch loss=2.047323
Batch=1019, step=15420, lr=0.135750, batch loss=0.170110, epoch loss=2.217433
Batch=1079, step=15480, lr=0.135750, batch loss=0.040147, epoch loss=2.257580
Batch=1139, step=15540, lr=0.135500, batch loss=0.094477, epoch loss=2.352057
Batch=1199, step=15600, lr=0.135250, batch loss=0.059997, epoch loss=2.412054
Epoch=12, step=15600, lr=0.135250, epoch loss=2.412054
Batch=59, step=15660, lr=0.135000, batch loss=0.075632, epoch loss=0.075632
Batch=119, step=15720, lr=0.134500, batch loss=0.113925, epoch loss=0.189557
Batch=179, step=15780, lr=0.134500, batch loss=0.091565, epoch loss=0.281122
Batch=239, step=15840, lr=0.134250, batch loss=0.095151, epoch loss=0.376273
Batch=299, step=15900, lr=0.134000, batch loss=0.039382, epoch loss=0.415655
Batch=359, step=15960, lr=0.133750, batch loss=0.080887, epoch loss=0.496542
Batch=419, step=16020, lr=0.133500, batch loss=0.081620, epoch loss=0.578162
Batch=479, step=16080, lr=0.133250, batch loss=0.068737, epoch loss=0.646899
Batch=539, step=16140, lr=0.133000, batch loss=0.054899, epoch loss=0.701798
Batch=599, step=16200, lr=0.132500, batch loss=0.100686, epoch loss=0.802485
Batch=659, step=16260, lr=0.132250, batch loss=0.077425, epoch loss=0.879909
Batch=719, step=16320, lr=0.132250, batch loss=0.069140, epoch loss=0.949049
Batch=779, step=16380, lr=0.132000, batch loss=0.069862, epoch loss=1.018911
Batch=839, step=16440, lr=0.131750, batch loss=0.097499, epoch loss=1.116410
Batch=899, step=16500, lr=0.131500, batch loss=0.160099, epoch loss=1.276509
Batch=959, step=16560, lr=0.131250, batch loss=0.053582, epoch loss=1.330091
Batch=1019, step=16620, lr=0.130750, batch loss=0.151392, epoch loss=1.481484
Batch=1079, step=16680, lr=0.130750, batch loss=0.021191, epoch loss=1.502675
Batch=1139, step=16740, lr=0.130500, batch loss=0.043328, epoch loss=1.546003
Batch=1199, step=16800, lr=0.130250, batch loss=0.025001, epoch loss=1.571004
Epoch=13, step=16800, lr=0.130250, epoch loss=1.571004
Batch=59, step=16860, lr=0.130000, batch loss=0.043563, epoch loss=0.043563
Batch=119, step=16920, lr=0.129750, batch loss=0.089066, epoch loss=0.132629
Batch=179, step=16980, lr=0.129500, batch loss=0.061271, epoch loss=0.193900
Batch=239, step=17040, lr=0.129250, batch loss=0.061592, epoch loss=0.255492
Batch=299, step=17100, lr=0.129000, batch loss=0.023152, epoch loss=0.278644
Batch=359, step=17160, lr=0.128750, batch loss=0.050901, epoch loss=0.329546
Batch=419, step=17220, lr=0.128250, batch loss=0.088243, epoch loss=0.417789
Batch=479, step=17280, lr=0.128250, batch loss=0.025662, epoch loss=0.443451
Batch=539, step=17340, lr=0.127750, batch loss=0.028612, epoch loss=0.472063
Batch=599, step=17400, lr=0.127750, batch loss=0.034586, epoch loss=0.506649
Batch=659, step=17460, lr=0.127500, batch loss=0.046291, epoch loss=0.552940
Batch=719, step=17520, lr=0.127250, batch loss=0.044990, epoch loss=0.597930
Batch=779, step=17580, lr=0.127000, batch loss=0.080464, epoch loss=0.678394
Batch=839, step=17640, lr=0.126500, batch loss=0.165673, epoch loss=0.844067
Batch=899, step=17700, lr=0.126500, batch loss=0.066165, epoch loss=0.910232
Batch=959, step=17760, lr=0.126250, batch loss=0.025636, epoch loss=0.935868
Batch=1019, step=17820, lr=0.126000, batch loss=0.041393, epoch loss=0.977261
Batch=1079, step=17880, lr=0.125500, batch loss=0.014172, epoch loss=0.991433
Batch=1139, step=17940, lr=0.125500, batch loss=0.037898, epoch loss=1.029331
Batch=1199, step=18000, lr=0.125000, batch loss=0.017102, epoch loss=1.046433
Epoch=14, step=18000, lr=0.125000, epoch loss=1.046433
Batch=59, step=18060, lr=0.125000, batch loss=0.013759, epoch loss=0.013759
Batch=119, step=18120, lr=0.124750, batch loss=0.020377, epoch loss=0.034137
Batch=179, step=18180, lr=0.124250, batch loss=0.028810, epoch loss=0.062946
Batch=239, step=18240, lr=0.124250, batch loss=0.035223, epoch loss=0.098169
Batch=299, step=18300, lr=0.124000, batch loss=0.010225, epoch loss=0.108394
Batch=359, step=18360, lr=0.123750, batch loss=0.023541, epoch loss=0.131935
Batch=419, step=18420, lr=0.123500, batch loss=0.028584, epoch loss=0.160519
Batch=479, step=18480, lr=0.123250, batch loss=0.020364, epoch loss=0.180883
Batch=539, step=18540, lr=0.123000, batch loss=0.044653, epoch loss=0.225536
Batch=599, step=18600, lr=0.122750, batch loss=0.025805, epoch loss=0.251341
Batch=659, step=18660, lr=0.122500, batch loss=0.034873, epoch loss=0.286214
Batch=719, step=18720, lr=0.122000, batch loss=0.035384, epoch loss=0.321599
Batch=779, step=18780, lr=0.121750, batch loss=0.079890, epoch loss=0.401489
Batch=839, step=18840, lr=0.121500, batch loss=0.053730, epoch loss=0.455219
Batch=899, step=18900, lr=0.121250, batch loss=0.054029, epoch loss=0.509248
Batch=959, step=18960, lr=0.121250, batch loss=0.014643, epoch loss=0.523890
Batch=1019, step=19020, lr=0.120750, batch loss=0.021626, epoch loss=0.545517
Batch=1079, step=19080, lr=0.120750, batch loss=0.011636, epoch loss=0.557153
Batch=1139, step=19140, lr=0.120500, batch loss=0.023792, epoch loss=0.580945
Batch=1199, step=19200, lr=0.120250, batch loss=0.009152, epoch loss=0.590097
Epoch=15, step=19200, lr=0.120250, epoch loss=0.590097
Batch=59, step=19260, lr=0.120000, batch loss=0.005019, epoch loss=0.005019
Batch=119, step=19320, lr=0.119500, batch loss=0.020479, epoch loss=0.025497
Batch=179, step=19380, lr=0.119500, batch loss=0.047666, epoch loss=0.073164
Batch=239, step=19440, lr=0.119000, batch loss=0.020449, epoch loss=0.093613
Batch=299, step=19500, lr=0.118750, batch loss=0.012043, epoch loss=0.105657
Batch=359, step=19560, lr=0.118750, batch loss=0.023589, epoch loss=0.129246
Batch=419, step=19620, lr=0.118500, batch loss=0.018777, epoch loss=0.148023
Batch=479, step=19680, lr=0.118250, batch loss=0.007422, epoch loss=0.155445
Batch=539, step=19740, lr=0.118000, batch loss=0.016661, epoch loss=0.172106
Batch=599, step=19800, lr=0.117500, batch loss=0.022572, epoch loss=0.194677
Batch=659, step=19860, lr=0.117250, batch loss=0.018504, epoch loss=0.213181
Batch=719, step=19920, lr=0.117000, batch loss=0.037952, epoch loss=0.251133
Batch=779, step=19980, lr=0.116750, batch loss=0.079826, epoch loss=0.330959
Batch=839, step=20040, lr=0.116500, batch loss=0.030955, epoch loss=0.361914
Batch=899, step=20100, lr=0.116500, batch loss=0.033437, epoch loss=0.395351
Batch=959, step=20160, lr=0.116000, batch loss=0.012131, epoch loss=0.407483
Batch=1019, step=20220, lr=0.115750, batch loss=0.016374, epoch loss=0.423857
Batch=1079, step=20280, lr=0.115750, batch loss=0.002902, epoch loss=0.426759
Batch=1139, step=20340, lr=0.115500, batch loss=0.015209, epoch loss=0.441968
Batch=1199, step=20400, lr=0.115250, batch loss=0.007444, epoch loss=0.449412
Epoch=16, step=20400, lr=0.115250, epoch loss=0.449412
Batch=59, step=20460, lr=0.115000, batch loss=0.003595, epoch loss=0.003595
Batch=119, step=20520, lr=0.114750, batch loss=0.009460, epoch loss=0.013055
Batch=179, step=20580, lr=0.114500, batch loss=0.019853, epoch loss=0.032908
Batch=239, step=20640, lr=0.114250, batch loss=0.021318, epoch loss=0.054226
Batch=299, step=20700, lr=0.114000, batch loss=0.009422, epoch loss=0.063648
Batch=359, step=20760, lr=0.113750, batch loss=0.013860, epoch loss=0.077508
Batch=419, step=20820, lr=0.113500, batch loss=0.014524, epoch loss=0.092032
Batch=479, step=20880, lr=0.113250, batch loss=0.003676, epoch loss=0.095708
Batch=539, step=20940, lr=0.113000, batch loss=0.018429, epoch loss=0.114137
Batch=599, step=21000, lr=0.112750, batch loss=0.020411, epoch loss=0.134548
Batch=659, step=21060, lr=0.112250, batch loss=0.013530, epoch loss=0.148078
Batch=719, step=21120, lr=0.112250, batch loss=0.034556, epoch loss=0.182634
Batch=779, step=21180, lr=0.112000, batch loss=0.049129, epoch loss=0.231762
Batch=839, step=21240, lr=0.111500, batch loss=0.027106, epoch loss=0.258868
Batch=899, step=21300, lr=0.111500, batch loss=0.029260, epoch loss=0.288129
Batch=959, step=21360, lr=0.111250, batch loss=0.013249, epoch loss=0.301377
Batch=1019, step=21420, lr=0.111000, batch loss=0.016824, epoch loss=0.318201
Batch=1079, step=21480, lr=0.110750, batch loss=0.001051, epoch loss=0.319252
Batch=1139, step=21540, lr=0.110500, batch loss=0.011348, epoch loss=0.330600
Batch=1199, step=21600, lr=0.110000, batch loss=0.005803, epoch loss=0.336403
Epoch=17, step=21600, lr=0.110000, epoch loss=0.336403
Batch=59, step=21660, lr=0.110000, batch loss=0.002490, epoch loss=0.002490
Batch=119, step=21720, lr=0.109750, batch loss=0.007176, epoch loss=0.009667
Batch=179, step=21780, lr=0.109500, batch loss=0.012786, epoch loss=0.022453
Batch=239, step=21840, lr=0.109250, batch loss=0.010498, epoch loss=0.032951
Batch=299, step=21900, lr=0.109000, batch loss=0.014444, epoch loss=0.047395
Batch=359, step=21960, lr=0.108750, batch loss=0.014427, epoch loss=0.061821
Batch=419, step=22020, lr=0.108500, batch loss=0.012768, epoch loss=0.074590
Batch=479, step=22080, lr=0.108250, batch loss=0.002815, epoch loss=0.077404
Batch=539, step=22140, lr=0.107750, batch loss=0.019267, epoch loss=0.096671
Batch=599, step=22200, lr=0.107500, batch loss=0.018916, epoch loss=0.115588
Batch=659, step=22260, lr=0.107500, batch loss=0.012906, epoch loss=0.128493
Batch=719, step=22320, lr=0.107250, batch loss=0.019513, epoch loss=0.148006
Batch=779, step=22380, lr=0.107000, batch loss=0.028941, epoch loss=0.176947
Batch=839, step=22440, lr=0.106750, batch loss=0.028006, epoch loss=0.204953
Batch=899, step=22500, lr=0.106250, batch loss=0.024325, epoch loss=0.229278
Batch=959, step=22560, lr=0.106250, batch loss=0.008966, epoch loss=0.238244
Batch=1019, step=22620, lr=0.106000, batch loss=0.010386, epoch loss=0.248630
Batch=1079, step=22680, lr=0.105750, batch loss=0.001518, epoch loss=0.250148
Batch=1139, step=22740, lr=0.105500, batch loss=0.010114, epoch loss=0.260262
Batch=1199, step=22800, lr=0.105250, batch loss=0.005551, epoch loss=0.265813
Epoch=18, step=22800, lr=0.105250, epoch loss=0.265813
Batch=59, step=22860, lr=0.104750, batch loss=0.002147, epoch loss=0.002147
Batch=119, step=22920, lr=0.104750, batch loss=0.005684, epoch loss=0.007831
Batch=179, step=22980, lr=0.104500, batch loss=0.010873, epoch loss=0.018704
Batch=239, step=23040, lr=0.104250, batch loss=0.008682, epoch loss=0.027386
Batch=299, step=23100, lr=0.104000, batch loss=0.007079, epoch loss=0.034465
Batch=359, step=23160, lr=0.103500, batch loss=0.011699, epoch loss=0.046164
Batch=419, step=23220, lr=0.103500, batch loss=0.010602, epoch loss=0.056766
Batch=479, step=23280, lr=0.103250, batch loss=0.002611, epoch loss=0.059377
Batch=539, step=23340, lr=0.103000, batch loss=0.016443, epoch loss=0.075819
Batch=599, step=23400, lr=0.102750, batch loss=0.014120, epoch loss=0.089940
Batch=659, step=23460, lr=0.102500, batch loss=0.011390, epoch loss=0.101330
Batch=719, step=23520, lr=0.102250, batch loss=0.010320, epoch loss=0.111650
Batch=779, step=23580, lr=0.102000, batch loss=0.012975, epoch loss=0.124625
Batch=839, step=23640, lr=0.101500, batch loss=0.019425, epoch loss=0.144049
Batch=899, step=23700, lr=0.101250, batch loss=0.030753, epoch loss=0.174802
Batch=959, step=23760, lr=0.101250, batch loss=0.007615, epoch loss=0.182417
Batch=1019, step=23820, lr=0.101000, batch loss=0.008924, epoch loss=0.191340
Batch=1079, step=23880, lr=0.100750, batch loss=0.000000, epoch loss=0.191340
Batch=1139, step=23940, lr=0.100500, batch loss=0.008241, epoch loss=0.199581
Batch=1199, step=24000, lr=0.100250, batch loss=0.004644, epoch loss=0.204226
Epoch=19, step=24000, lr=0.100250, epoch loss=0.204226


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
2025-05-18 21:10.18: Job failed: Failed: Build failed