opensuse-15.6-5.3_opam-2.3

2025-03-21 13:23.09: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d63fdf0da2bdea174a1f4139e51107496c5013e8) (linux-x86_64:opensuse-15.6-5.3_opam-2.3)
Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d63fdf0d
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907
# opensuse-15.6-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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


2025-03-21 13:23.09: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907-opensuse-15.6-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 13:23.09: Using OBuilder spec:
((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
(comment opensuse-15.6-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && 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 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 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"))
)


2025-03-21 13:23.09: Waiting for resource in pool OCluster
2025-03-21 13:23.10: Waiting for worker…
2025-03-21 13:25.58: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at d63fdf0d Expose and test the new unary ops


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
2025-03-21 13:25.59 ---> using "97c0fadd2a2f6fc0d6f7c024b06fdc5e37314bdc6a75a12d7cd819ed6ccf2aa0" from cache


/: (comment opensuse-15.6-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 13:25.59 ---> using "ae8deb97ac3f0d225fc1c09301f1ecf73216745312621d386a5a7c1d83af4ac0" 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 ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-21 13:25.59 ---> using "b9e7493c2d0282d19720dc154beb4021e405218902724c60e81ee6d906a24ad1" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-21 13:25.59 ---> using "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 13:25.59 ---> using "3336fd0a8b7aa274901f66563ebf4bbae201df957a49f9776cc6d20c7be356cc" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..6cf83229dd  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive
[default] synchronised from 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)
2025-03-21 13:25.59 ---> using "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 13:25.59 ---> using "5e66a281da679ea54cc763b9eee1458a39f12e00c5f33d20db9db3b5ae6e3cb6" 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)
2025-03-21 13:25.59 ---> using "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 13:25.59 ---> using "f55e7ac5f29f517c31f26aaca6e22d29e8e4db7c25088e26154874f701058085" from cache


/src: (env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 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 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.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 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_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 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.2.1.0 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 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "zypper" "--non-interactive" "refresh"
- Retrieving repository 'Update repository of openSUSE Backports' metadata [...
- .........done]
- Building repository 'Update repository of openSUSE Backports' cache [..
- ..done]
- Retrieving repository 'Update repository with updates from SUSE Linux Enterprise 15' metadata [....
- .........
- ........
- .........
- ......
- ..done]
- Building repository 'Update repository with updates from SUSE Linux Enterprise 15' cache [..
- ..done]
- Repository 'Main Update Repository' is up to date.
- Repository 'Update Repository (Non-Oss)' is up to date.
- Repository 'Non-OSS Repository' is up to date.
- Repository 'Main Repository' is up to date.
- All repositories have been refreshed.


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


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


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


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


+ /usr/bin/sudo "zypper" "--non-interactive" "install" "libffi-devel"
- Loading repository data...
- Reading installed packages...
- Resolving package dependencies...
- 
- The following NEW package is going to be installed:
-   libffi-devel
- 
- 1 new package to install.
- 
- Package download size:    26.7 KiB
- 
- Package install size change:
-               |      29.1 KiB  required by packages that will be installed
-     29.1 KiB  |  -      0 B    released by packages that will be removed
- 
- Backend:  classic_rpmtrans
- Continue? [y/n/v/...? shows all options] (y): y
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64 (Main Repository) (1/1),  26.7 KiB
- Retrieving: libffi-devel-3.2.1.git259-10.8.x86_64.rpm [..done (21.9 KiB/s)]
- 
- Checking for file conflicts: [..done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done]
2025-03-21 13:25.59 ---> using "a4a8b70afc2e1326b01fe86fdc48e5f6293744c067d363eeb9a6b275a2fb3303" 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 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- 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                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- 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_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- 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           2.1.0
- 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 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 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 bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (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 integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved 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_fields_conv.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> 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 ppxlib_jane.v0.17.2  (cached)
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (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 ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed printbox.0.12
-> installed bigarray-compat.1.1.0
-> installed stdlib-shims.0.3.0
-> installed backoff.0.1.1
-> installed csexp.1.5.2
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed sexplib0.v0.17.0
-> installed integers.0.7.0
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed re.1.12.0
-> installed saturn_lockfree.0.5.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> 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 base.v0.17.1
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> 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)
2025-03-21 13:25.59 ---> using "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05" from cache


/src: (copy (src .) (dst /src))
2025-03-21 13:25.59 ---> saved as "017e70896c658e95d16628397c4f6c0b0e84dabb71d95b4c16e5754b591f4a1b"


/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/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/dd3255270d693352f27b0f4d2935521a/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.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/7c3e017757717fd33a47f4d5a9e4693d/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
File "test/primitive_ops.ml", line 1, characters 0-0:
/usr/bin/git --no-pager diff --no-index --color=always -u _build/default/test/primitive_ops.ml _build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/primitive_ops.ml.corrected
diff --git a/_build/default/test/primitive_ops.ml b/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/primitive_ops.ml.corrected
index 18fb8fd..4dd32f4 100644
--- a/_build/default/test/primitive_ops.ml
+++ b/_build/.sandbox/7c3e017757717fd33a47f4d5a9e4693d/default/test/primitive_ops.ml.corrected
@@ -534,48 +534,48 @@ let%expect_test "sqrt(x)" =
[%expect
{|
┌─────┬────────────────────────────────────────────────────────────────────────────────────────────────────┐
-    │ inf │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │f    │                                                                                                    │
-    │(    │                                                                                                    │
-    │x    │                                                                                                    │
-    │)    │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │     │                                                                                                    │
-    │ 0.00│*************************-*************** ********-******************************* **** *******-****│
+    │ 2.23│                                                                                                   #│
+    │     │                                                                                              ##### │
+    │     │                                                                                         #####      │
+    │     │                                                                                     ####           │
+    │     │                                                                                ## ##               │
+    │     │                                                                           #####                    │
+    │     │                                                                       ####                         │
+    │     │                                                                  #####                             │
+    │     │                                                              ####                                  │
+    │     │                                                          ## #                                      │
+    │     │                                                      # ##                                          │
+    │     │                                                   ###                                              │
+    │     │*                                              ####                                                 │
+    │     │                                           ####                                                     │
+    │     │                                        # #                                                         │
+    │     │                                     ###                                                            │
+    │     │                                  ###                                                               │
+    │     │ *                             ###                                                                  │
+    │f    │                            ##                                                                      │
+    │(    │                         ###                                                                        │
+    │x    │  *                   ###                                                                           │
+    │)    │                    ##                                                                              │
+    │     │   *              ##                                                                                │
+    │     │              # ##                                                                                  │
+    │     │    *        ##                                                                                     │
+    │     │     *     ##                                                                                       │
+    │     │      **  #                                                                                         │
+    │     │        *#                                                                                          │
+    │     │       # **                                                                                         │
+    │     │     ##    ***                                                                                      │
+    │     │    #         * *                                                                                   │
+    │     │   #             *****                                                                              │
+    │     │  #                   ********                                                                      │
+    │     │ #                           * **********                                                           │
+    │     │#                                       * ************* ****                                        │
+    │     │                                                           * ********************* ************     │
+    │     │                                                                                               *****│
+    │     │                                                                                                    │
+    │     │                                                                                                    │
+    │ 0.00│-    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    -    │
├─────┼────────────────────────────────────────────────────────────────────────────────────────────────────┤
-    │     │0.00                                                                                            5.00│
+    │     │1.00e-1                                                                                         5.00│
│     │                                                 x                                                  │
└─────┴────────────────────────────────────────────────────────────────────────────────────────────────────┘
|}]
@@ -585,7 +585,35 @@ let%expect_test "recip(x)" =
let plot_box = plot_unop ~f ~x_min:0.1 ~x_max:5.0 () in
PrintBox_text.output Stdio.stdout plot_box;
(* FIXME: There's is a bug here in the shape inference. *)
-  [%expect {||}]
+  [%expect.unreachable]
+[@@expect.uncaught_exn {|
+  (* CR expect_test_collector: This test expectation appears to contain a backtrace.
+     This is strongly discouraged as backtraces are fragile.
+     Please change this test to not include a backtrace. *)
+  (lib/shape.ml.Shape_error "Too many axes in a subtensor"
+    ((Row_mismatch
+       ((dims ()) (bcast Broadcastable) (id ((sh_id 8) (kind Input))))
+       ((dims ((Var ((id 166) (label ())))))
+         (bcast (Row_var (v (Row_var 167)) (beg_dims ())))
+         (id ((sh_id 7) (kind Output)))))))
+  Raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", line 1087, characters 6-91
+  Re-raised at Ocannl__Row.solve_row_ineq in file "lib/row.ml", lines 919-1151, characters 31-44
+  Called from Ocannl__Row.solve_inequalities.solve.f in file "lib/row.ml", line 1293, characters 32-68
+  Called from Base__List0.fold in file "src/list0.ml", line 43, characters 27-37
+  Called from Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", line 1323, characters 22-56
+  Re-raised at Ocannl__Row.solve_inequalities.solve in file "lib/row.ml", lines 1276-1329, characters 16-25
+  Called from Ocannl__Row.solve_inequalities in file "lib/row.ml", line 1332, characters 50-65
+  Re-raised at Ocannl__Row.solve_inequalities in file "lib/row.ml", lines 1274-1355, characters 35-44
+  Called from Ocannl__Shape.propagate_shapes in file "lib/shape.ml", line 609, characters 20-73
+  Re-raised at Ocannl__Shape.propagate_shapes in file "lib/shape.ml", lines 602-612, characters 33-14
+  Called from Base__List0.iter in file "src/list0.ml", line 66, characters 4-7
+  Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 197, characters 2-57
+  Called from Ocannl__Operation.recip.(fun) in file "lib/operation.ml", line 250, characters 53-69
+  Called from Ocannl__Tensor.op in file "lib/tensor.ml", line 265, characters 38-65
+  Called from Tutorials__Primitive_ops.plot_unop in file "test/primitive_ops.ml", line 32, characters 14-17
+  Called from Tutorials__Primitive_ops.(fun) in file "test/primitive_ops.ml", line 585, characters 17-54
+  Called from Ppx_expect_runtime__Test_block.Configured.dump_backtrace in file "runtime/test_block.ml", line 142, characters 10-28
+  |}]


let%expect_test "recip_sqrt(x)" =
let%op f x = recip_sqrt x in
(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
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.175750, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207489, epoch loss=4.669925
Batch=1139, step=5940, lr=0.175500, batch loss=0.240219, epoch loss=4.910144
Batch=1199, step=6000, lr=0.175250, batch loss=0.186922, epoch loss=5.097066
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097066
Batch=59, step=6060, lr=0.175000, batch loss=0.230304, epoch loss=0.230304
Batch=119, step=6120, lr=0.174750, batch loss=0.194470, epoch loss=0.424773
Batch=179, step=6180, lr=0.174500, batch loss=0.201550, epoch loss=0.626323
Batch=239, step=6240, lr=0.174250, batch loss=0.302284, epoch loss=0.928607
Batch=299, step=6300, lr=0.174000, batch loss=0.204120, epoch loss=1.132727
Batch=359, step=6360, lr=0.173750, batch loss=0.265950, epoch loss=1.398677
Batch=419, step=6420, lr=0.173500, batch loss=0.265409, epoch loss=1.664086
Batch=479, step=6480, lr=0.173250, batch loss=0.243177, epoch loss=1.907263
Batch=539, step=6540, lr=0.173000, batch loss=0.193160, epoch loss=2.100423
Batch=599, step=6600, lr=0.172750, batch loss=0.234320, epoch loss=2.334743
Batch=659, step=6660, lr=0.172500, batch loss=0.312176, epoch loss=2.646919
Batch=719, step=6720, lr=0.172250, batch loss=0.314107, epoch loss=2.961026
Batch=779, step=6780, lr=0.172000, batch loss=0.333356, epoch loss=3.294382
Batch=839, step=6840, lr=0.171750, batch loss=0.303649, epoch loss=3.598032
Batch=899, step=6900, lr=0.171500, batch loss=0.268605, epoch loss=3.866637
Batch=959, step=6960, lr=0.171250, batch loss=0.210783, epoch loss=4.077420
Batch=1019, step=7020, lr=0.171000, batch loss=0.330087, epoch loss=4.407506
Batch=1079, step=7080, lr=0.170750, batch loss=0.180404, epoch loss=4.587910
Batch=1139, step=7140, lr=0.170500, batch loss=0.216152, epoch loss=4.804063
Batch=1199, step=7200, lr=0.170250, batch loss=0.185775, epoch loss=4.989838
Epoch=5, step=7200, lr=0.170250, epoch loss=4.989838
Batch=59, step=7260, lr=0.170000, batch loss=0.232263, epoch loss=0.232263
Batch=119, step=7320, lr=0.169750, batch loss=0.184724, epoch loss=0.416987
Batch=179, step=7380, lr=0.169500, batch loss=0.196627, epoch loss=0.613614
Batch=239, step=7440, lr=0.169250, batch loss=0.291579, epoch loss=0.905193
Batch=299, step=7500, lr=0.169000, batch loss=0.201092, epoch loss=1.106284
Batch=359, step=7560, lr=0.168750, batch loss=0.258375, epoch loss=1.364660
Batch=419, step=7620, lr=0.168500, batch loss=0.257506, epoch loss=1.622166
Batch=479, step=7680, lr=0.168250, batch loss=0.235183, epoch loss=1.857349
Batch=539, step=7740, lr=0.168000, batch loss=0.188741, epoch loss=2.046090
Batch=599, step=7800, lr=0.167750, batch loss=0.223004, epoch loss=2.269094
Batch=659, step=7860, lr=0.167500, batch loss=0.306428, epoch loss=2.575521
Batch=719, step=7920, lr=0.167250, batch loss=0.308516, epoch loss=2.884038
Batch=779, step=7980, lr=0.167000, batch loss=0.330730, epoch loss=3.214767
Batch=839, step=8040, lr=0.166750, batch loss=0.291940, epoch loss=3.506707
Batch=899, step=8100, lr=0.166500, batch loss=0.262371, epoch loss=3.769078
Batch=959, step=8160, lr=0.166250, batch loss=0.194363, epoch loss=3.963441
Batch=1019, step=8220, lr=0.166000, batch loss=0.326526, epoch loss=4.289967
Batch=1079, step=8280, lr=0.165750, batch loss=0.184656, epoch loss=4.474623
Batch=1139, step=8340, lr=0.165500, batch loss=0.218730, epoch loss=4.693353
Batch=1199, step=8400, lr=0.165250, batch loss=0.173608, epoch loss=4.866961
Epoch=6, step=8400, lr=0.165250, epoch loss=4.866961
Batch=59, step=8460, lr=0.165000, batch loss=0.211167, epoch loss=0.211167
Batch=119, step=8520, lr=0.164750, batch loss=0.173048, epoch loss=0.384214
Batch=179, step=8580, lr=0.164500, batch loss=0.188428, epoch loss=0.572643
Batch=239, step=8640, lr=0.164250, batch loss=0.280332, epoch loss=0.852975
Batch=299, step=8700, lr=0.164000, batch loss=0.192020, epoch loss=1.044995
Batch=359, step=8760, lr=0.163750, batch loss=0.248166, epoch loss=1.293161
Batch=419, step=8820, lr=0.163500, batch loss=0.246012, epoch loss=1.539173
Batch=479, step=8880, lr=0.163250, batch loss=0.227866, epoch loss=1.767039
Batch=539, step=8940, lr=0.163000, batch loss=0.178374, epoch loss=1.945413
Batch=599, step=9000, lr=0.162750, batch loss=0.216569, epoch loss=2.161982
Batch=659, step=9060, lr=0.162500, batch loss=0.294291, epoch loss=2.456273
Batch=719, step=9120, lr=0.162250, batch loss=0.297837, epoch loss=2.754110
Batch=779, step=9180, lr=0.162000, batch loss=0.315451, epoch loss=3.069561
Batch=839, step=9240, lr=0.161750, batch loss=0.280212, epoch loss=3.349773
Batch=899, step=9300, lr=0.161500, batch loss=0.253451, epoch loss=3.603224
Batch=959, step=9360, lr=0.161250, batch loss=0.208232, epoch loss=3.811456
Batch=1019, step=9420, lr=0.161000, batch loss=0.297207, epoch loss=4.108663
Batch=1079, step=9480, lr=0.160750, batch loss=0.173127, epoch loss=4.281790
Batch=1139, step=9540, lr=0.160500, batch loss=0.200573, epoch loss=4.482364
Batch=1199, step=9600, lr=0.160250, batch loss=0.164585, epoch loss=4.646949
Epoch=7, step=9600, lr=0.160250, epoch loss=4.646949
Batch=59, step=9660, lr=0.160000, batch loss=0.188685, epoch loss=0.188685
Batch=119, step=9720, lr=0.159750, batch loss=0.158557, epoch loss=0.347242
Batch=179, step=9780, lr=0.159500, batch loss=0.178672, epoch loss=0.525914
Batch=239, step=9840, lr=0.159250, batch loss=0.266775, epoch loss=0.792689
Batch=299, step=9900, lr=0.159000, batch loss=0.180790, epoch loss=0.973479
Batch=359, step=9960, lr=0.158750, batch loss=0.245487, epoch loss=1.218966
Batch=419, step=10020, lr=0.158500, batch loss=0.249508, epoch loss=1.468474
Batch=479, step=10080, lr=0.158250, batch loss=0.218043, epoch loss=1.686517
Batch=539, step=10140, lr=0.158000, batch loss=0.170060, epoch loss=1.856576
Batch=599, step=10200, lr=0.157750, batch loss=0.207239, epoch loss=2.063816
Batch=659, step=10260, lr=0.157500, batch loss=0.278235, epoch loss=2.342051
Batch=719, step=10320, lr=0.157250, batch loss=0.278403, epoch loss=2.620454
Batch=779, step=10380, lr=0.157000, batch loss=0.291568, epoch loss=2.912023
Batch=839, step=10440, lr=0.156750, batch loss=0.270674, epoch loss=3.182697
Batch=899, step=10500, lr=0.156500, batch loss=0.236981, epoch loss=3.419678
Batch=959, step=10560, lr=0.156250, batch loss=0.179161, epoch loss=3.598839
Batch=1019, step=10620, lr=0.156000, batch loss=0.296412, epoch loss=3.895251
Batch=1079, step=10680, lr=0.155750, batch loss=0.182429, epoch loss=4.077679
Batch=1139, step=10740, lr=0.155500, batch loss=0.197613, epoch loss=4.275293
Batch=1199, step=10800, lr=0.155250, batch loss=0.154466, epoch loss=4.429759
Epoch=8, step=10800, lr=0.155250, epoch loss=4.429759
Batch=59, step=10860, lr=0.155000, batch loss=0.179809, epoch loss=0.179809
Batch=119, step=10920, lr=0.154750, batch loss=0.149371, epoch loss=0.329179
Batch=179, step=10980, lr=0.154500, batch loss=0.165453, epoch loss=0.494632
Batch=239, step=11040, lr=0.154250, batch loss=0.241031, epoch loss=0.735664
Batch=299, step=11100, lr=0.154000, batch loss=0.171622, epoch loss=0.907286
Batch=359, step=11160, lr=0.153750, batch loss=0.220002, epoch loss=1.127288
Batch=419, step=11220, lr=0.153500, batch loss=0.215714, epoch loss=1.343002
Batch=479, step=11280, lr=0.153250, batch loss=0.201884, epoch loss=1.544886
Batch=539, step=11340, lr=0.153000, batch loss=0.158975, epoch loss=1.703861
Batch=599, step=11400, lr=0.152750, batch loss=0.178541, epoch loss=1.882401
Batch=659, step=11460, lr=0.152500, batch loss=0.263901, epoch loss=2.146302
Batch=719, step=11520, lr=0.152250, batch loss=0.256886, epoch loss=2.403188
Batch=779, step=11580, lr=0.152000, batch loss=0.271211, epoch loss=2.674400
Batch=839, step=11640, lr=0.151750, batch loss=0.256161, epoch loss=2.930560
Batch=899, step=11700, lr=0.151500, batch loss=0.212441, epoch loss=3.143001
Batch=959, step=11760, lr=0.151250, batch loss=0.169580, epoch loss=3.312581
Batch=1019, step=11820, lr=0.151000, batch loss=0.265236, epoch loss=3.577816
Batch=1079, step=11880, lr=0.150750, batch loss=0.151429, epoch loss=3.729245
Batch=1139, step=11940, lr=0.150500, batch loss=0.185856, epoch loss=3.915101
Batch=1199, step=12000, lr=0.150250, batch loss=0.139369, epoch loss=4.054470
Epoch=9, step=12000, lr=0.150250, epoch loss=4.054470
Batch=59, step=12060, lr=0.150000, batch loss=0.157817, epoch loss=0.157817
Batch=119, step=12120, lr=0.149750, batch loss=0.128121, epoch loss=0.285937
Batch=179, step=12180, lr=0.149500, batch loss=0.149445, epoch loss=0.435382
Batch=239, step=12240, lr=0.149250, batch loss=0.217863, epoch loss=0.653245
Batch=299, step=12300, lr=0.149000, batch loss=0.141839, epoch loss=0.795084
Batch=359, step=12360, lr=0.148750, batch loss=0.197034, epoch loss=0.992117
Batch=419, step=12420, lr=0.148500, batch loss=0.206091, epoch loss=1.198209
Batch=479, step=12480, lr=0.148250, batch loss=0.178521, epoch loss=1.376730
Batch=539, step=12540, lr=0.148000, batch loss=0.142404, epoch loss=1.519133
Batch=599, step=12600, lr=0.147750, batch loss=0.150353, epoch loss=1.669486
Batch=659, step=12660, lr=0.147500, batch loss=0.223484, epoch loss=1.892970
Batch=719, step=12720, lr=0.147250, batch loss=0.233322, epoch loss=2.126292
Batch=779, step=12780, lr=0.147000, batch loss=0.252640, epoch loss=2.378932
Batch=839, step=12840, lr=0.146750, batch loss=0.235124, epoch loss=2.614056
Batch=899, step=12900, lr=0.146500, batch loss=0.228896, epoch loss=2.842952
Batch=959, step=12960, lr=0.146250, batch loss=0.141048, epoch loss=2.984001
Batch=1019, step=13020, lr=0.146000, batch loss=0.218111, epoch loss=3.202112
Batch=1079, step=13080, lr=0.145750, batch loss=0.109246, epoch loss=3.311358
Batch=1139, step=13140, lr=0.145500, batch loss=0.147658, epoch loss=3.459016
Batch=1199, step=13200, lr=0.145250, batch loss=0.115267, epoch loss=3.574282
Epoch=10, step=13200, lr=0.145250, epoch loss=3.574282
Batch=59, step=13260, lr=0.145000, batch loss=0.133269, epoch loss=0.133269
Batch=119, step=13320, lr=0.144750, batch loss=0.111256, epoch loss=0.244526
Batch=179, step=13380, lr=0.144500, batch loss=0.126827, epoch loss=0.371353
Batch=239, step=13440, lr=0.144250, batch loss=0.184909, epoch loss=0.556262
Batch=299, step=13500, lr=0.144000, batch loss=0.116059, epoch loss=0.672321
Batch=359, step=13560, lr=0.143750, batch loss=0.158219, epoch loss=0.830540
Batch=419, step=13620, lr=0.143500, batch loss=0.160251, epoch loss=0.990791
Batch=479, step=13680, lr=0.143250, batch loss=0.149628, epoch loss=1.140419
Batch=539, step=13740, lr=0.143000, batch loss=0.122504, epoch loss=1.262923
Batch=599, step=13800, lr=0.142750, batch loss=0.119414, epoch loss=1.382336
Batch=659, step=13860, lr=0.142500, batch loss=0.175210, epoch loss=1.557547
Batch=719, step=13920, lr=0.142250, batch loss=0.175944, epoch loss=1.733490
Batch=779, step=13980, lr=0.142000, batch loss=0.196304, epoch loss=1.929794
Batch=839, step=14040, lr=0.141750, batch loss=0.186282, epoch loss=2.116076
Batch=899, step=14100, lr=0.141500, batch loss=0.159015, epoch loss=2.275091
Batch=959, step=14160, lr=0.141250, batch loss=0.157548, epoch loss=2.432639
Batch=1019, step=14220, lr=0.141000, batch loss=0.377316, epoch loss=2.809955
Batch=1079, step=14280, lr=0.140750, batch loss=0.068219, epoch loss=2.878174
Batch=1139, step=14340, lr=0.140500, batch loss=0.121781, epoch loss=2.999955
Batch=1199, step=14400, lr=0.140250, batch loss=0.091817, epoch loss=3.091772
Epoch=11, step=14400, lr=0.140250, epoch loss=3.091772
Batch=59, step=14460, lr=0.140000, batch loss=0.111289, epoch loss=0.111289
Batch=119, step=14520, lr=0.139750, batch loss=0.102335, epoch loss=0.213625
Batch=179, step=14580, lr=0.139500, batch loss=0.106558, epoch loss=0.320182
Batch=239, step=14640, lr=0.139250, batch loss=0.140485, epoch loss=0.460667
Batch=299, step=14700, lr=0.139000, batch loss=0.081376, epoch loss=0.542043
Batch=359, step=14760, lr=0.138750, batch loss=0.124634, epoch loss=0.666677
Batch=419, step=14820, lr=0.138500, batch loss=0.124413, epoch loss=0.791090
Batch=479, step=14880, lr=0.138250, batch loss=0.108015, epoch loss=0.899105
Batch=539, step=14940, lr=0.138000, batch loss=0.109155, epoch loss=1.008260
Batch=599, step=15000, lr=0.137750, batch loss=0.088079, epoch loss=1.096339
Batch=659, step=15060, lr=0.137500, batch loss=0.128407, epoch loss=1.224745
Batch=719, step=15120, lr=0.137250, batch loss=0.136146, epoch loss=1.360892
Batch=779, step=15180, lr=0.137000, batch loss=0.160933, epoch loss=1.521824
Batch=839, step=15240, lr=0.136750, batch loss=0.161316, epoch loss=1.683140
Batch=899, step=15300, lr=0.136500, batch loss=0.242462, epoch loss=1.925602
Batch=959, step=15360, lr=0.136250, batch loss=0.057907, epoch loss=1.983509
Batch=1019, step=15420, lr=0.136000, batch loss=0.138686, epoch loss=2.122195
Batch=1079, step=15480, lr=0.135750, batch loss=0.047276, epoch loss=2.169471
Batch=1139, step=15540, lr=0.135500, batch loss=0.110340, epoch loss=2.279811
Batch=1199, step=15600, lr=0.135250, batch loss=0.060694, epoch loss=2.340505
Epoch=12, step=15600, lr=0.135250, epoch loss=2.340505
Batch=59, step=15660, lr=0.135000, batch loss=0.080201, epoch loss=0.080201
Batch=119, step=15720, lr=0.134750, batch loss=0.117356, epoch loss=0.197557
Batch=179, step=15780, lr=0.134500, batch loss=0.091137, epoch loss=0.288694
Batch=239, step=15840, lr=0.134250, batch loss=0.094859, epoch loss=0.383553
Batch=299, step=15900, lr=0.134000, batch loss=0.039482, epoch loss=0.423035
Batch=359, step=15960, lr=0.133750, batch loss=0.079882, epoch loss=0.502917
Batch=419, step=16020, lr=0.133500, batch loss=0.079991, epoch loss=0.582908
Batch=479, step=16080, lr=0.133250, batch loss=0.072569, epoch loss=0.655477
Batch=539, step=16140, lr=0.133000, batch loss=0.045504, epoch loss=0.700980
Batch=599, step=16200, lr=0.132750, batch loss=0.089443, epoch loss=0.790423
Batch=659, step=16260, lr=0.132500, batch loss=0.077332, epoch loss=0.867755
Batch=719, step=16320, lr=0.132250, batch loss=0.070966, epoch loss=0.938721
Batch=779, step=16380, lr=0.132000, batch loss=0.069299, epoch loss=1.008020
Batch=839, step=16440, lr=0.131750, batch loss=0.106064, epoch loss=1.114083
Batch=899, step=16500, lr=0.131500, batch loss=0.147877, epoch loss=1.261961
Batch=959, step=16560, lr=0.131250, batch loss=0.062389, epoch loss=1.324350
Batch=1019, step=16620, lr=0.131000, batch loss=0.141829, epoch loss=1.466179
Batch=1079, step=16680, lr=0.130750, batch loss=0.024763, epoch loss=1.490942
Batch=1139, step=16740, lr=0.130500, batch loss=0.060940, epoch loss=1.551882
Batch=1199, step=16800, lr=0.130250, batch loss=0.030653, epoch loss=1.582535
Epoch=13, step=16800, lr=0.130250, epoch loss=1.582535
Batch=59, step=16860, lr=0.130000, batch loss=0.034990, epoch loss=0.034990
Batch=119, step=16920, lr=0.129500, batch loss=0.041544, epoch loss=0.076534
Batch=179, step=16980, lr=0.129500, batch loss=0.042248, epoch loss=0.118782
Batch=239, step=17040, lr=0.129250, batch loss=0.054654, epoch loss=0.173435
Batch=299, step=17100, lr=0.129000, batch loss=0.021228, epoch loss=0.194663
Batch=359, step=17160, lr=0.128750, batch loss=0.043489, epoch loss=0.238152
Batch=419, step=17220, lr=0.128500, batch loss=0.082238, epoch loss=0.320390
Batch=479, step=17280, lr=0.128250, batch loss=0.028504, epoch loss=0.348894
Batch=539, step=17340, lr=0.128000, batch loss=0.037826, epoch loss=0.386720
Batch=599, step=17400, lr=0.127750, batch loss=0.033782, epoch loss=0.420502
Batch=659, step=17460, lr=0.127500, batch loss=0.045348, epoch loss=0.465849
Batch=719, step=17520, lr=0.127250, batch loss=0.050623, epoch loss=0.516473
Batch=779, step=17580, lr=0.127000, batch loss=0.120754, epoch loss=0.637226
Batch=839, step=17640, lr=0.126750, batch loss=0.102879, epoch loss=0.740105
Batch=899, step=17700, lr=0.126500, batch loss=0.148086, epoch loss=0.888192
Batch=959, step=17760, lr=0.126250, batch loss=0.019134, epoch loss=0.907326
Batch=1019, step=17820, lr=0.126000, batch loss=0.031002, epoch loss=0.938328
Batch=1079, step=17880, lr=0.125750, batch loss=0.012978, epoch loss=0.951306
Batch=1139, step=17940, lr=0.125500, batch loss=0.035684, epoch loss=0.986990
Batch=1199, step=18000, lr=0.125250, batch loss=0.015870, epoch loss=1.002860
Epoch=14, step=18000, lr=0.125250, epoch loss=1.002860
Batch=59, step=18060, lr=0.125000, batch loss=0.011821, epoch loss=0.011821
Batch=119, step=18120, lr=0.124750, batch loss=0.035401, epoch loss=0.047222
Batch=179, step=18180, lr=0.124500, batch loss=0.094412, epoch loss=0.141634
Batch=239, step=18240, lr=0.124250, batch loss=0.045557, epoch loss=0.187190
Batch=299, step=18300, lr=0.124000, batch loss=0.010232, epoch loss=0.197423
Batch=359, step=18360, lr=0.123750, batch loss=0.025487, epoch loss=0.222910
Batch=419, step=18420, lr=0.123500, batch loss=0.027817, epoch loss=0.250727
Batch=479, step=18480, lr=0.123250, batch loss=0.018476, epoch loss=0.269204
Batch=539, step=18540, lr=0.123000, batch loss=0.039881, epoch loss=0.309085
Batch=599, step=18600, lr=0.122750, batch loss=0.026177, epoch loss=0.335263
Batch=659, step=18660, lr=0.122500, batch loss=0.031527, epoch loss=0.366790
Batch=719, step=18720, lr=0.122250, batch loss=0.031957, epoch loss=0.398746
Batch=779, step=18780, lr=0.122000, batch loss=0.081908, epoch loss=0.480654
Batch=839, step=18840, lr=0.121750, batch loss=0.050238, epoch loss=0.530892
Batch=899, step=18900, lr=0.121500, batch loss=0.049128, epoch loss=0.580020
Batch=959, step=18960, lr=0.121250, batch loss=0.013734, epoch loss=0.593754
Batch=1019, step=19020, lr=0.121000, batch loss=0.025420, epoch loss=0.619174
Batch=1079, step=19080, lr=0.120750, batch loss=0.007516, epoch loss=0.626690
Batch=1139, step=19140, lr=0.120500, batch loss=0.023625, epoch loss=0.650315
Batch=1199, step=19200, lr=0.120250, batch loss=0.010157, epoch loss=0.660472
Epoch=15, step=19200, lr=0.120250, epoch loss=0.660472
Batch=59, step=19260, lr=0.120000, batch loss=0.005478, epoch loss=0.005478
Batch=119, step=19320, lr=0.119750, batch loss=0.016465, epoch loss=0.021943
Batch=179, step=19380, lr=0.119500, batch loss=0.042436, epoch loss=0.064379
Batch=239, step=19440, lr=0.119250, batch loss=0.022094, epoch loss=0.086473
Batch=299, step=19500, lr=0.119000, batch loss=0.005539, epoch loss=0.092012
Batch=359, step=19560, lr=0.118750, batch loss=0.016346, epoch loss=0.108358
Batch=419, step=19620, lr=0.118500, batch loss=0.019857, epoch loss=0.128215
Batch=479, step=19680, lr=0.118250, batch loss=0.006850, epoch loss=0.135065
Batch=539, step=19740, lr=0.118000, batch loss=0.016237, epoch loss=0.151302
Batch=599, step=19800, lr=0.117750, batch loss=0.021303, epoch loss=0.172606
Batch=659, step=19860, lr=0.117500, batch loss=0.017752, epoch loss=0.190357
Batch=719, step=19920, lr=0.117250, batch loss=0.040649, epoch loss=0.231006
Batch=779, step=19980, lr=0.117000, batch loss=0.076466, epoch loss=0.307472
Batch=839, step=20040, lr=0.116750, batch loss=0.032080, epoch loss=0.339553
Batch=899, step=20100, lr=0.116500, batch loss=0.027762, epoch loss=0.367315
Batch=959, step=20160, lr=0.116250, batch loss=0.011691, epoch loss=0.379006
Batch=1019, step=20220, lr=0.116000, batch loss=0.015784, epoch loss=0.394790
Batch=1079, step=20280, lr=0.115750, batch loss=0.002417, epoch loss=0.397207
Batch=1139, step=20340, lr=0.115500, batch loss=0.015162, epoch loss=0.412370
Batch=1199, step=20400, lr=0.115250, batch loss=0.006054, epoch loss=0.418424
Epoch=16, step=20400, lr=0.115250, epoch loss=0.418424
Batch=59, step=20460, lr=0.115000, batch loss=0.004454, epoch loss=0.004454
Batch=119, step=20520, lr=0.114750, batch loss=0.010806, epoch loss=0.015260
Batch=179, step=20580, lr=0.114500, batch loss=0.026203, epoch loss=0.041463
Batch=239, step=20640, lr=0.114250, batch loss=0.014729, epoch loss=0.056192
Batch=299, step=20700, lr=0.114000, batch loss=0.002528, epoch loss=0.058720
Batch=359, step=20760, lr=0.113750, batch loss=0.015038, epoch loss=0.073758
Batch=419, step=20820, lr=0.113500, batch loss=0.014615, epoch loss=0.088373
Batch=479, step=20880, lr=0.113250, batch loss=0.003650, epoch loss=0.092023
Batch=539, step=20940, lr=0.113000, batch loss=0.018864, epoch loss=0.110887
Batch=599, step=21000, lr=0.112750, batch loss=0.020130, epoch loss=0.131017
Batch=659, step=21060, lr=0.112500, batch loss=0.016612, epoch loss=0.147629
Batch=719, step=21120, lr=0.112250, batch loss=0.053537, epoch loss=0.201166
Batch=779, step=21180, lr=0.112000, batch loss=0.064476, epoch loss=0.265642
Batch=839, step=21240, lr=0.111750, batch loss=0.024165, epoch loss=0.289807
Batch=899, step=21300, lr=0.111500, batch loss=0.026895, epoch loss=0.316701
Batch=959, step=21360, lr=0.111250, batch loss=0.010653, epoch loss=0.327354
Batch=1019, step=21420, lr=0.111000, batch loss=0.010676, epoch loss=0.338031
Batch=1079, step=21480, lr=0.110750, batch loss=0.001599, epoch loss=0.339629
Batch=1139, step=21540, lr=0.110500, batch loss=0.012826, epoch loss=0.352456
Batch=1199, step=21600, lr=0.110250, batch loss=0.004814, epoch loss=0.357270
Epoch=17, step=21600, lr=0.110250, epoch loss=0.357270
Batch=59, step=21660, lr=0.110000, batch loss=0.002417, epoch loss=0.002417
Batch=119, step=21720, lr=0.109750, batch loss=0.007035, epoch loss=0.009452
Batch=179, step=21780, lr=0.109500, batch loss=0.012700, epoch loss=0.022152
Batch=239, step=21840, lr=0.109250, batch loss=0.009258, epoch loss=0.031410
Batch=299, step=21900, lr=0.109000, batch loss=0.007412, epoch loss=0.038823
Batch=359, step=21960, lr=0.108750, batch loss=0.014068, epoch loss=0.052891
Batch=419, step=22020, lr=0.108500, batch loss=0.012263, epoch loss=0.065154
Batch=479, step=22080, lr=0.108250, batch loss=0.003553, epoch loss=0.068707
Batch=539, step=22140, lr=0.108000, batch loss=0.018214, epoch loss=0.086921
Batch=599, step=22200, lr=0.107750, batch loss=0.017151, epoch loss=0.104072
Batch=659, step=22260, lr=0.107500, batch loss=0.015330, epoch loss=0.119403
Batch=719, step=22320, lr=0.107250, batch loss=0.022361, epoch loss=0.141764
Batch=779, step=22380, lr=0.107000, batch loss=0.028985, epoch loss=0.170749
Batch=839, step=22440, lr=0.106750, batch loss=0.029065, epoch loss=0.199814
Batch=899, step=22500, lr=0.106500, batch loss=0.022968, epoch loss=0.222782
Batch=959, step=22560, lr=0.106250, batch loss=0.010247, epoch loss=0.233030
Batch=1019, step=22620, lr=0.106000, batch loss=0.008654, epoch loss=0.241684
Batch=1079, step=22680, lr=0.105750, batch loss=0.001692, epoch loss=0.243376
Batch=1139, step=22740, lr=0.105500, batch loss=0.010110, epoch loss=0.253486
Batch=1199, step=22800, lr=0.105250, batch loss=0.005399, epoch loss=0.258885
Epoch=18, step=22800, lr=0.105250, epoch loss=0.258885
Batch=59, step=22860, lr=0.105000, batch loss=0.002888, epoch loss=0.002888
Batch=119, step=22920, lr=0.104750, batch loss=0.004734, epoch loss=0.007622
Batch=179, step=22980, lr=0.104500, batch loss=0.012741, epoch loss=0.020362
Batch=239, step=23040, lr=0.104250, batch loss=0.008109, epoch loss=0.028471
Batch=299, step=23100, lr=0.104000, batch loss=0.003844, epoch loss=0.032315
Batch=359, step=23160, lr=0.103750, batch loss=0.012084, epoch loss=0.044399
Batch=419, step=23220, lr=0.103500, batch loss=0.011207, epoch loss=0.055606
Batch=479, step=23280, lr=0.103250, batch loss=0.002766, epoch loss=0.058372
Batch=539, step=23340, lr=0.103000, batch loss=0.017085, epoch loss=0.075457
Batch=599, step=23400, lr=0.102750, batch loss=0.014266, epoch loss=0.089723
Batch=659, step=23460, lr=0.102500, batch loss=0.011791, epoch loss=0.101514
Batch=719, step=23520, lr=0.102250, batch loss=0.010422, epoch loss=0.111937
Batch=779, step=23580, lr=0.102000, batch loss=0.016802, epoch loss=0.128739
Batch=839, step=23640, lr=0.101750, batch loss=0.026889, epoch loss=0.155627
Batch=899, step=23700, lr=0.101500, batch loss=0.019905, epoch loss=0.175533
Batch=959, step=23760, lr=0.101250, batch loss=0.008076, epoch loss=0.183609
Batch=1019, step=23820, lr=0.101000, batch loss=0.009251, epoch loss=0.192860
Batch=1079, step=23880, lr=0.100750, batch loss=0.001918, epoch loss=0.194777
Batch=1139, step=23940, lr=0.100500, batch loss=0.008623, epoch loss=0.203400
Batch=1199, step=24000, lr=0.100250, batch loss=0.004331, epoch loss=0.207731
Epoch=19, step=24000, lr=0.100250, epoch loss=0.207731


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
2025-03-21 13:26.31: Job failed: Failed: Build failed