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Organisationsahrefsocannl151162 ()opensuse-15.6-5.3_opam-2.3

opensuse-15.6-5.3_opam-2.3

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2025-03-21 16:19.55: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (151162601bc8b3df560578aa1056d12d2dcb7acf) (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 15116260
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 16:19.55: 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 16:19.55: 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 16:19.55: Waiting for resource in pool OCluster
2025-03-21 16:19.55: Waiting for worker…
2025-03-21 16:20.23: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at 15116260 Differentiable conditional -> piecewise-defined functions


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
2025-03-21 16:20.24 ---> 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 16:20.24 ---> 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 16:20.24 ---> 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 16:20.24 ---> using "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 16:20.24 ---> 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..acfb0e6e94  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 16:20.24 ---> using "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 16:20.24 ---> 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 16:20.24 ---> using "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 16:20.24 ---> 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 (22.0 KiB/s)]
- 
- Checking for file conflicts: [..done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done]
2025-03-21 16:20.24 ---> 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 angstrom.0.16.1  (cached)
-> retrieved bigarray-compat.1.1.0  (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 num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (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_deriving.6.0.3  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_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_minidebug.2.1.0  (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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> 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 ptime.1.2.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (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 ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed printbox.0.12
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-syntax-shims.1.0.0
-> installed re.1.12.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed integers.0.7.0
-> installed cppo.1.8.0
-> installed saturn_lockfree.0.5.0
-> installed dune-configurator.3.17.2
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed ctypes-foreign.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.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 ppx_optcomp.v0.17.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_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.2.1.0
-> 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 16:20.24 ---> using "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05" from cache


/src: (copy (src .) (dst /src))
2025-03-21 16:20.25 ---> saved as "788383160af3f5ff0308fc5c443d1e597a50c10024920fccc59809122fcaa6b3"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/03621c1e968ef8a1baa1e2416df1142c/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/6020a2b1b0b06edbe0bd20d325f29b3e/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/6020a2b1b0b06edbe0bd20d325f29b3e/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
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=0.199000, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.198750, batch loss=1.445660, epoch loss=37.070699
Batch=359, step=360, lr=0.198750, batch loss=1.328803, epoch loss=38.399502
Batch=419, step=420, lr=0.198500, batch loss=0.619254, epoch loss=39.018756
Batch=479, step=480, lr=0.198250, batch loss=0.821775, epoch loss=39.840531
Batch=539, step=540, lr=0.198000, batch loss=0.691387, epoch loss=40.531918
Batch=599, step=600, lr=0.197750, batch loss=1.063853, epoch loss=41.595771
Batch=659, step=660, lr=0.197500, batch loss=0.483449, epoch loss=42.079219
Batch=719, step=720, lr=0.197250, batch loss=0.411388, epoch loss=42.490608
Batch=779, step=780, lr=0.197000, batch loss=0.470241, epoch loss=42.960848
Batch=839, step=840, lr=0.196750, batch loss=0.446763, epoch loss=43.407611
Batch=899, step=900, lr=0.196500, batch loss=0.382842, epoch loss=43.790453
Batch=959, step=960, lr=0.196250, batch loss=0.245370, epoch loss=44.035823
Batch=1019, step=1020, lr=0.196000, batch loss=0.466396, epoch loss=44.502219
Batch=1079, step=1080, lr=0.195750, batch loss=0.249121, epoch loss=44.751339
Batch=1139, step=1140, lr=0.195500, batch loss=0.317345, epoch loss=45.068684
Batch=1199, step=1200, lr=0.195000, batch loss=0.263876, epoch loss=45.332561
Epoch=0, step=1200, lr=0.195000, epoch loss=45.332561
Batch=59, step=1260, lr=0.195000, batch loss=0.262328, epoch loss=0.262328
Batch=119, step=1320, lr=0.194750, batch loss=0.205152, epoch loss=0.467480
Batch=179, step=1380, lr=0.194500, batch loss=0.243637, epoch loss=0.711117
Batch=239, step=1440, lr=0.194250, batch loss=0.347992, epoch loss=1.059109
Batch=299, step=1500, lr=0.194000, batch loss=0.247246, epoch loss=1.306355
Batch=359, step=1560, lr=0.193750, batch loss=0.316751, epoch loss=1.623106
Batch=419, step=1620, lr=0.193500, batch loss=0.312574, epoch loss=1.935680
Batch=479, step=1680, lr=0.193250, batch loss=0.276401, epoch loss=2.212081
Batch=539, step=1740, lr=0.193000, batch loss=0.209733, epoch loss=2.421815
Batch=599, step=1800, lr=0.192500, batch loss=0.250698, epoch loss=2.672513
Batch=659, step=1860, lr=0.192500, batch loss=0.366907, epoch loss=3.039419
Batch=719, step=1920, lr=0.192250, batch loss=0.355186, epoch loss=3.394605
Batch=779, step=1980, lr=0.192000, batch loss=0.381113, epoch loss=3.775718
Batch=839, step=2040, lr=0.191750, batch loss=0.339690, epoch loss=4.115408
Batch=899, step=2100, lr=0.191500, batch loss=0.295248, epoch loss=4.410656
Batch=959, step=2160, lr=0.191250, batch loss=0.214273, epoch loss=4.624929
Batch=1019, step=2220, lr=0.191000, batch loss=0.330403, epoch loss=4.955332
Batch=1079, step=2280, lr=0.190750, batch loss=0.208994, epoch loss=5.164325
Batch=1139, step=2340, lr=0.190500, batch loss=0.277769, epoch loss=5.442094
Batch=1199, step=2400, lr=0.190250, batch loss=0.221048, epoch loss=5.663142
Epoch=1, step=2400, lr=0.190250, epoch loss=5.663142
Batch=59, step=2460, lr=0.190000, batch loss=0.230653, epoch loss=0.230653
Batch=119, step=2520, lr=0.189500, batch loss=0.195689, epoch loss=0.426341
Batch=179, step=2580, lr=0.189500, batch loss=0.221231, epoch loss=0.647573
Batch=239, step=2640, lr=0.189250, batch loss=0.328053, epoch loss=0.975625
Batch=299, step=2700, lr=0.189000, batch loss=0.202834, epoch loss=1.178459
Batch=359, step=2760, lr=0.188750, batch loss=0.288370, epoch loss=1.466829
Batch=419, step=2820, lr=0.188500, batch loss=0.280211, epoch loss=1.747040
Batch=479, step=2880, lr=0.188250, batch loss=0.251451, epoch loss=1.998491
Batch=539, step=2940, lr=0.188000, batch loss=0.191308, epoch loss=2.189799
Batch=599, step=3000, lr=0.187750, batch loss=0.224185, epoch loss=2.413985
Batch=659, step=3060, lr=0.187500, batch loss=0.330798, epoch loss=2.744783
Batch=719, step=3120, lr=0.187250, batch loss=0.333691, epoch loss=3.078474
Batch=779, step=3180, lr=0.187000, batch loss=0.354710, epoch loss=3.433184
Batch=839, step=3240, lr=0.186750, batch loss=0.327708, epoch loss=3.760892
Batch=899, step=3300, lr=0.186500, batch loss=0.295973, epoch loss=4.056865
Batch=959, step=3360, lr=0.186250, batch loss=0.239972, epoch loss=4.296837
Batch=1019, step=3420, lr=0.186000, batch loss=0.352080, epoch loss=4.648917
Batch=1079, step=3480, lr=0.185750, batch loss=0.232406, epoch loss=4.881323
Batch=1139, step=3540, lr=0.185500, batch loss=0.262770, epoch loss=5.144093
Batch=1199, step=3600, lr=0.185250, batch loss=0.199530, epoch loss=5.343623
Epoch=2, step=3600, lr=0.185250, epoch loss=5.343623
Batch=59, step=3660, lr=0.185000, batch loss=0.221883, epoch loss=0.221883
Batch=119, step=3720, lr=0.184750, batch loss=0.184286, epoch loss=0.406170
Batch=179, step=3780, lr=0.184500, batch loss=0.210921, epoch loss=0.617091
Batch=239, step=3840, lr=0.184250, batch loss=0.315544, epoch loss=0.932635
Batch=299, step=3900, lr=0.184000, batch loss=0.200997, epoch loss=1.133632
Batch=359, step=3960, lr=0.183750, batch loss=0.283497, epoch loss=1.417129
Batch=419, step=4020, lr=0.183500, batch loss=0.273694, epoch loss=1.690823
Batch=479, step=4080, lr=0.183250, batch loss=0.252989, epoch loss=1.943811
Batch=539, step=4140, lr=0.183000, batch loss=0.195555, epoch loss=2.139366
Batch=599, step=4200, lr=0.182750, batch loss=0.241524, epoch loss=2.380889
Batch=659, step=4260, lr=0.182500, batch loss=0.327616, epoch loss=2.708505
Batch=719, step=4320, lr=0.182250, batch loss=0.328351, epoch loss=3.036856
Batch=779, step=4380, lr=0.181750, batch loss=0.350217, epoch loss=3.387073
Batch=839, step=4440, lr=0.181750, batch loss=0.317825, epoch loss=3.704899
Batch=899, step=4500, lr=0.181500, batch loss=0.291330, epoch loss=3.996229
Batch=959, step=4560, lr=0.181250, batch loss=0.243259, epoch loss=4.239488
Batch=1019, step=4620, lr=0.181000, batch loss=0.346535, epoch loss=4.586023
Batch=1079, step=4680, lr=0.180500, batch loss=0.216061, epoch loss=4.802084
Batch=1139, step=4740, lr=0.180500, batch loss=0.246651, epoch loss=5.048735
Batch=1199, step=4800, lr=0.180250, batch loss=0.191644, epoch loss=5.240379
Epoch=3, step=4800, lr=0.180250, epoch loss=5.240379
Batch=59, step=4860, lr=0.180000, batch loss=0.228409, epoch loss=0.228409
Batch=119, step=4920, lr=0.179750, batch loss=0.189194, epoch loss=0.417603
Batch=179, step=4980, lr=0.179500, batch loss=0.206200, epoch loss=0.623803
Batch=239, step=5040, lr=0.179250, batch loss=0.308635, epoch loss=0.932438
Batch=299, step=5100, lr=0.179000, batch loss=0.213956, epoch loss=1.146395
Batch=359, step=5160, lr=0.178750, batch loss=0.279733, epoch loss=1.426127
Batch=419, step=5220, lr=0.178500, batch loss=0.276464, epoch loss=1.702592
Batch=479, step=5280, lr=0.178250, batch loss=0.244990, epoch loss=1.947581
Batch=539, step=5340, lr=0.178000, batch loss=0.189823, epoch loss=2.137404
Batch=599, step=5400, lr=0.177750, batch loss=0.234041, epoch loss=2.371445
Batch=659, step=5460, lr=0.177500, batch loss=0.322066, epoch loss=2.693511
Batch=719, step=5520, lr=0.177250, batch loss=0.322014, epoch loss=3.015525
Batch=779, step=5580, lr=0.177000, batch loss=0.339690, epoch loss=3.355215
Batch=839, step=5640, lr=0.176500, batch loss=0.311791, epoch loss=3.667006
Batch=899, step=5700, lr=0.176500, batch loss=0.270187, epoch loss=3.937194
Batch=959, step=5760, lr=0.176250, batch loss=0.220421, epoch loss=4.157615
Batch=1019, step=5820, lr=0.176000, batch loss=0.333534, epoch loss=4.491149
Batch=1079, step=5880, lr=0.175750, batch loss=0.191759, epoch loss=4.682908
Batch=1139, step=5940, lr=0.175500, batch loss=0.220466, epoch loss=4.903374
Batch=1199, step=6000, lr=0.175250, batch loss=0.186270, epoch loss=5.089644
Epoch=4, step=6000, lr=0.175250, epoch loss=5.089644
Batch=59, step=6060, lr=0.175000, batch loss=0.223840, epoch loss=0.223840
Batch=119, step=6120, lr=0.174750, batch loss=0.185357, epoch loss=0.409196
Batch=179, step=6180, lr=0.174500, batch loss=0.200599, epoch loss=0.609796
Batch=239, step=6240, lr=0.174250, batch loss=0.298436, epoch loss=0.908231
Batch=299, step=6300, lr=0.174000, batch loss=0.196798, epoch loss=1.105030
Batch=359, step=6360, lr=0.173750, batch loss=0.265030, epoch loss=1.370059
Batch=419, step=6420, lr=0.173500, batch loss=0.265672, epoch loss=1.635732
Batch=479, step=6480, lr=0.173250, batch loss=0.242383, epoch loss=1.878114
Batch=539, step=6540, lr=0.173000, batch loss=0.193551, epoch loss=2.071665
Batch=599, step=6600, lr=0.172750, batch loss=0.234659, epoch loss=2.306324
Batch=659, step=6660, lr=0.172500, batch loss=0.313108, epoch loss=2.619432
Batch=719, step=6720, lr=0.172250, batch loss=0.313548, epoch loss=2.932980
Batch=779, step=6780, lr=0.172000, batch loss=0.334034, epoch loss=3.267013
Batch=839, step=6840, lr=0.171750, batch loss=0.303174, epoch loss=3.570187
Batch=899, step=6900, lr=0.171500, batch loss=0.268798, epoch loss=3.838985
Batch=959, step=6960, lr=0.171250, batch loss=0.209771, epoch loss=4.048756
Batch=1019, step=7020, lr=0.171000, batch loss=0.326828, epoch loss=4.375583
Batch=1079, step=7080, lr=0.170750, batch loss=0.174840, epoch loss=4.550423
Batch=1139, step=7140, lr=0.170500, batch loss=0.212235, epoch loss=4.762659
Batch=1199, step=7200, lr=0.170250, batch loss=0.189940, epoch loss=4.952598
Epoch=5, step=7200, lr=0.170250, epoch loss=4.952598
Batch=59, step=7260, lr=0.170000, batch loss=0.226239, epoch loss=0.226239
Batch=119, step=7320, lr=0.169750, batch loss=0.189313, epoch loss=0.415552
Batch=179, step=7380, lr=0.169500, batch loss=0.194325, epoch loss=0.609877
Batch=239, step=7440, lr=0.169250, batch loss=0.290985, epoch loss=0.900862
Batch=299, step=7500, lr=0.169000, batch loss=0.206652, epoch loss=1.107515
Batch=359, step=7560, lr=0.168750, batch loss=0.261749, epoch loss=1.369264
Batch=419, step=7620, lr=0.168500, batch loss=0.253771, epoch loss=1.623035
Batch=479, step=7680, lr=0.168250, batch loss=0.232016, epoch loss=1.855052
Batch=539, step=7740, lr=0.168000, batch loss=0.190534, epoch loss=2.045585
Batch=599, step=7800, lr=0.167750, batch loss=0.228866, epoch loss=2.274451
Batch=659, step=7860, lr=0.167500, batch loss=0.303403, epoch loss=2.577854
Batch=719, step=7920, lr=0.167250, batch loss=0.310289, epoch loss=2.888143
Batch=779, step=7980, lr=0.167000, batch loss=0.327846, epoch loss=3.215989
Batch=839, step=8040, lr=0.166750, batch loss=0.293321, epoch loss=3.509310
Batch=899, step=8100, lr=0.166500, batch loss=0.261643, epoch loss=3.770952
Batch=959, step=8160, lr=0.166250, batch loss=0.200352, epoch loss=3.971304
Batch=1019, step=8220, lr=0.166000, batch loss=0.328266, epoch loss=4.299570
Batch=1079, step=8280, lr=0.165750, batch loss=0.208546, epoch loss=4.508116
Batch=1139, step=8340, lr=0.165500, batch loss=0.220645, epoch loss=4.728761
Batch=1199, step=8400, lr=0.165250, batch loss=0.174752, epoch loss=4.903513
Epoch=6, step=8400, lr=0.165250, epoch loss=4.903513
Batch=59, step=8460, lr=0.165000, batch loss=0.213810, epoch loss=0.213810
Batch=119, step=8520, lr=0.164750, batch loss=0.177332, epoch loss=0.391142
Batch=179, step=8580, lr=0.164500, batch loss=0.188640, epoch loss=0.579781
Batch=239, step=8640, lr=0.164250, batch loss=0.275496, epoch loss=0.855277
Batch=299, step=8700, lr=0.164000, batch loss=0.189007, epoch loss=1.044284
Batch=359, step=8760, lr=0.163750, batch loss=0.249530, epoch loss=1.293814
Batch=419, step=8820, lr=0.163500, batch loss=0.244170, epoch loss=1.537985
Batch=479, step=8880, lr=0.163250, batch loss=0.228671, epoch loss=1.766655
Batch=539, step=8940, lr=0.163000, batch loss=0.177043, epoch loss=1.943699
Batch=599, step=9000, lr=0.162750, batch loss=0.217863, epoch loss=2.161562
Batch=659, step=9060, lr=0.162500, batch loss=0.294121, epoch loss=2.455683
Batch=719, step=9120, lr=0.162250, batch loss=0.296730, epoch loss=2.752413
Batch=779, step=9180, lr=0.162000, batch loss=0.314346, epoch loss=3.066759
Batch=839, step=9240, lr=0.161750, batch loss=0.281782, epoch loss=3.348541
Batch=899, step=9300, lr=0.161500, batch loss=0.253046, epoch loss=3.601587
Batch=959, step=9360, lr=0.161250, batch loss=0.186750, epoch loss=3.788337
Batch=1019, step=9420, lr=0.161000, batch loss=0.302948, epoch loss=4.091285
Batch=1079, step=9480, lr=0.160750, batch loss=0.193757, epoch loss=4.285042
Batch=1139, step=9540, lr=0.160500, batch loss=0.208406, epoch loss=4.493449
Batch=1199, step=9600, lr=0.160250, batch loss=0.166352, epoch loss=4.659801
Epoch=7, step=9600, lr=0.160250, epoch loss=4.659801
Batch=59, step=9660, lr=0.160000, batch loss=0.194891, epoch loss=0.194891
Batch=119, step=9720, lr=0.159750, batch loss=0.166965, epoch loss=0.361856
Batch=179, step=9780, lr=0.159250, batch loss=0.179160, epoch loss=0.541016
Batch=239, step=9840, lr=0.159250, batch loss=0.263569, epoch loss=0.804585
Batch=299, step=9900, lr=0.159000, batch loss=0.181182, epoch loss=0.985767
Batch=359, step=9960, lr=0.158500, batch loss=0.241644, epoch loss=1.227411
Batch=419, step=10020, lr=0.158500, batch loss=0.231046, epoch loss=1.458457
Batch=479, step=10080, lr=0.158250, batch loss=0.212418, epoch loss=1.670876
Batch=539, step=10140, lr=0.158000, batch loss=0.171041, epoch loss=1.841916
Batch=599, step=10200, lr=0.157500, batch loss=0.199934, epoch loss=2.041850
Batch=659, step=10260, lr=0.157500, batch loss=0.281947, epoch loss=2.323797
Batch=719, step=10320, lr=0.157250, batch loss=0.281765, epoch loss=2.605562
Batch=779, step=10380, lr=0.157000, batch loss=0.299966, epoch loss=2.905528
Batch=839, step=10440, lr=0.156750, batch loss=0.271706, epoch loss=3.177234
Batch=899, step=10500, lr=0.156500, batch loss=0.239815, epoch loss=3.417048
Batch=959, step=10560, lr=0.156250, batch loss=0.198937, epoch loss=3.615985
Batch=1019, step=10620, lr=0.156000, batch loss=0.281144, epoch loss=3.897129
Batch=1079, step=10680, lr=0.155750, batch loss=0.167561, epoch loss=4.064690
Batch=1139, step=10740, lr=0.155500, batch loss=0.197662, epoch loss=4.262352
Batch=1199, step=10800, lr=0.155250, batch loss=0.155610, epoch loss=4.417961
Epoch=8, step=10800, lr=0.155250, epoch loss=4.417961
Batch=59, step=10860, lr=0.155000, batch loss=0.202597, epoch loss=0.202597
Batch=119, step=10920, lr=0.154750, batch loss=0.155235, epoch loss=0.357832
Batch=179, step=10980, lr=0.154500, batch loss=0.168503, epoch loss=0.526335
Batch=239, step=11040, lr=0.154250, batch loss=0.247169, epoch loss=0.773504
Batch=299, step=11100, lr=0.154000, batch loss=0.162628, epoch loss=0.936132
Batch=359, step=11160, lr=0.153750, batch loss=0.225775, epoch loss=1.161907
Batch=419, step=11220, lr=0.153500, batch loss=0.225785, epoch loss=1.387693
Batch=479, step=11280, lr=0.153250, batch loss=0.205241, epoch loss=1.592934
Batch=539, step=11340, lr=0.153000, batch loss=0.156890, epoch loss=1.749824
Batch=599, step=11400, lr=0.152750, batch loss=0.176014, epoch loss=1.925838
Batch=659, step=11460, lr=0.152500, batch loss=0.261606, epoch loss=2.187444
Batch=719, step=11520, lr=0.152250, batch loss=0.261710, epoch loss=2.449154
Batch=779, step=11580, lr=0.151750, batch loss=0.269240, epoch loss=2.718393
Batch=839, step=11640, lr=0.151750, batch loss=0.249642, epoch loss=2.968035
Batch=899, step=11700, lr=0.151500, batch loss=0.219164, epoch loss=3.187199
Batch=959, step=11760, lr=0.151250, batch loss=0.173953, epoch loss=3.361152
Batch=1019, step=11820, lr=0.151000, batch loss=0.257914, epoch loss=3.619067
Batch=1079, step=11880, lr=0.150750, batch loss=0.137865, epoch loss=3.756932
Batch=1139, step=11940, lr=0.150500, batch loss=0.165931, epoch loss=3.922863
Batch=1199, step=12000, lr=0.150000, batch loss=0.140114, epoch loss=4.062977
Epoch=9, step=12000, lr=0.150000, epoch loss=4.062977
Batch=59, step=12060, lr=0.150000, batch loss=0.170280, epoch loss=0.170280
Batch=119, step=12120, lr=0.149750, batch loss=0.151248, epoch loss=0.321529
Batch=179, step=12180, lr=0.149500, batch loss=0.150548, epoch loss=0.472077
Batch=239, step=12240, lr=0.149250, batch loss=0.216322, epoch loss=0.688399
Batch=299, step=12300, lr=0.149000, batch loss=0.148309, epoch loss=0.836708
Batch=359, step=12360, lr=0.148750, batch loss=0.192383, epoch loss=1.029091
Batch=419, step=12420, lr=0.148500, batch loss=0.194809, epoch loss=1.223900
Batch=479, step=12480, lr=0.148250, batch loss=0.181896, epoch loss=1.405796
Batch=539, step=12540, lr=0.148000, batch loss=0.141849, epoch loss=1.547644
Batch=599, step=12600, lr=0.147750, batch loss=0.152234, epoch loss=1.699878
Batch=659, step=12660, lr=0.147500, batch loss=0.229752, epoch loss=1.929630
Batch=719, step=12720, lr=0.147250, batch loss=0.223806, epoch loss=2.153436
Batch=779, step=12780, lr=0.147000, batch loss=0.244684, epoch loss=2.398119
Batch=839, step=12840, lr=0.146750, batch loss=0.222950, epoch loss=2.621069
Batch=899, step=12900, lr=0.146500, batch loss=0.186628, epoch loss=2.807697
Batch=959, step=12960, lr=0.146250, batch loss=0.156507, epoch loss=2.964204
Batch=1019, step=13020, lr=0.146000, batch loss=0.259734, epoch loss=3.223938
Batch=1079, step=13080, lr=0.145750, batch loss=0.119798, epoch loss=3.343736
Batch=1139, step=13140, lr=0.145500, batch loss=0.159989, epoch loss=3.503725
Batch=1199, step=13200, lr=0.145000, batch loss=0.118965, epoch loss=3.622690
Epoch=10, step=13200, lr=0.145000, epoch loss=3.622690
Batch=59, step=13260, lr=0.144750, batch loss=0.142308, epoch loss=0.142308
Batch=119, step=13320, lr=0.144750, batch loss=0.120574, epoch loss=0.262881
Batch=179, step=13380, lr=0.144500, batch loss=0.127334, epoch loss=0.390216
Batch=239, step=13440, lr=0.144250, batch loss=0.188072, epoch loss=0.578288
Batch=299, step=13500, lr=0.144000, batch loss=0.112472, epoch loss=0.690761
Batch=359, step=13560, lr=0.143750, batch loss=0.162657, epoch loss=0.853418
Batch=419, step=13620, lr=0.143250, batch loss=0.167202, epoch loss=1.020620
Batch=479, step=13680, lr=0.143250, batch loss=0.149318, epoch loss=1.169937
Batch=539, step=13740, lr=0.143000, batch loss=0.117076, epoch loss=1.287014
Batch=599, step=13800, lr=0.142750, batch loss=0.120333, epoch loss=1.407347
Batch=659, step=13860, lr=0.142500, batch loss=0.177318, epoch loss=1.584665
Batch=719, step=13920, lr=0.142250, batch loss=0.173819, epoch loss=1.758484
Batch=779, step=13980, lr=0.142000, batch loss=0.179540, epoch loss=1.938024
Batch=839, step=14040, lr=0.141750, batch loss=0.203444, epoch loss=2.141468
Batch=899, step=14100, lr=0.141500, batch loss=0.221548, epoch loss=2.363016
Batch=959, step=14160, lr=0.141250, batch loss=0.102809, epoch loss=2.465825
Batch=1019, step=14220, lr=0.141000, batch loss=0.196970, epoch loss=2.662795
Batch=1079, step=14280, lr=0.140750, batch loss=0.079348, epoch loss=2.742143
Batch=1139, step=14340, lr=0.140500, batch loss=0.129323, epoch loss=2.871466
Batch=1199, step=14400, lr=0.140250, batch loss=0.085671, epoch loss=2.957136
Epoch=11, step=14400, lr=0.140250, epoch loss=2.957136
Batch=59, step=14460, lr=0.140000, batch loss=0.110245, epoch loss=0.110245
Batch=119, step=14520, lr=0.139750, batch loss=0.110762, epoch loss=0.221007
Batch=179, step=14580, lr=0.139250, batch loss=0.101967, epoch loss=0.322975
Batch=239, step=14640, lr=0.139250, batch loss=0.140894, epoch loss=0.463869
Batch=299, step=14700, lr=0.139000, batch loss=0.076782, epoch loss=0.540651
Batch=359, step=14760, lr=0.138750, batch loss=0.120588, epoch loss=0.661239
Batch=419, step=14820, lr=0.138500, batch loss=0.131792, epoch loss=0.793031
Batch=479, step=14880, lr=0.138250, batch loss=0.098368, epoch loss=0.891399
Batch=539, step=14940, lr=0.138000, batch loss=0.103172, epoch loss=0.994571
Batch=599, step=15000, lr=0.137750, batch loss=0.083595, epoch loss=1.078166
Batch=659, step=15060, lr=0.137500, batch loss=0.125452, epoch loss=1.203618
Batch=719, step=15120, lr=0.137250, batch loss=0.126968, epoch loss=1.330586
Batch=779, step=15180, lr=0.137000, batch loss=0.162823, epoch loss=1.493409
Batch=839, step=15240, lr=0.136750, batch loss=0.170824, epoch loss=1.664233
Batch=899, step=15300, lr=0.136500, batch loss=0.314155, epoch loss=1.978388
Batch=959, step=15360, lr=0.136250, batch loss=0.058896, epoch loss=2.037285
Batch=1019, step=15420, lr=0.136000, batch loss=0.140310, epoch loss=2.177595
Batch=1079, step=15480, lr=0.135750, batch loss=0.040178, epoch loss=2.217773
Batch=1139, step=15540, lr=0.135500, batch loss=0.089721, epoch loss=2.307493
Batch=1199, step=15600, lr=0.135250, batch loss=0.056336, epoch loss=2.363829
Epoch=12, step=15600, lr=0.135250, epoch loss=2.363829
Batch=59, step=15660, lr=0.135000, batch loss=0.082302, epoch loss=0.082302
Batch=119, step=15720, lr=0.134750, batch loss=0.127701, epoch loss=0.210003
Batch=179, step=15780, lr=0.134500, batch loss=0.097071, epoch loss=0.307074
Batch=239, step=15840, lr=0.134250, batch loss=0.097558, epoch loss=0.404632
Batch=299, step=15900, lr=0.134000, batch loss=0.039050, epoch loss=0.443681
Batch=359, step=15960, lr=0.133750, batch loss=0.078893, epoch loss=0.522575
Batch=419, step=16020, lr=0.133500, batch loss=0.078370, epoch loss=0.600944
Batch=479, step=16080, lr=0.133250, batch loss=0.055892, epoch loss=0.656837
Batch=539, step=16140, lr=0.132750, batch loss=0.075258, epoch loss=0.732094
Batch=599, step=16200, lr=0.132500, batch loss=0.166886, epoch loss=0.898981
Batch=659, step=16260, lr=0.132500, batch loss=0.094558, epoch loss=0.993539
Batch=719, step=16320, lr=0.132250, batch loss=0.129272, epoch loss=1.122810
Batch=779, step=16380, lr=0.131750, batch loss=0.283811, epoch loss=1.406622
Batch=839, step=16440, lr=0.131750, batch loss=0.091860, epoch loss=1.498482
Batch=899, step=16500, lr=0.131500, batch loss=0.078891, epoch loss=1.577373
Batch=959, step=16560, lr=0.131250, batch loss=0.031541, epoch loss=1.608914
Batch=1019, step=16620, lr=0.131000, batch loss=0.062814, epoch loss=1.671728
Batch=1079, step=16680, lr=0.130750, batch loss=0.057199, epoch loss=1.728927
Batch=1139, step=16740, lr=0.130500, batch loss=0.106055, epoch loss=1.834982
Batch=1199, step=16800, lr=0.130250, batch loss=0.051268, epoch loss=1.886250
Epoch=13, step=16800, lr=0.130250, epoch loss=1.886250
Batch=59, step=16860, lr=0.130000, batch loss=0.034967, epoch loss=0.034967
Batch=119, step=16920, lr=0.129750, batch loss=0.033364, epoch loss=0.068330
Batch=179, step=16980, lr=0.129500, batch loss=0.044449, epoch loss=0.112780
Batch=239, step=17040, lr=0.129250, batch loss=0.060933, epoch loss=0.173713
Batch=299, step=17100, lr=0.129000, batch loss=0.019985, epoch loss=0.193698
Batch=359, step=17160, lr=0.128500, batch loss=0.042890, epoch loss=0.236588
Batch=419, step=17220, lr=0.128500, batch loss=0.044919, epoch loss=0.281507
Batch=479, step=17280, lr=0.128250, batch loss=0.027631, epoch loss=0.309138
Batch=539, step=17340, lr=0.128000, batch loss=0.052310, epoch loss=0.361448
Batch=599, step=17400, lr=0.127750, batch loss=0.035508, epoch loss=0.396956
Batch=659, step=17460, lr=0.127500, batch loss=0.048354, epoch loss=0.445310
Batch=719, step=17520, lr=0.127250, batch loss=0.039667, epoch loss=0.484976
Batch=779, step=17580, lr=0.127000, batch loss=0.038656, epoch loss=0.523632
Batch=839, step=17640, lr=0.126750, batch loss=0.053171, epoch loss=0.576803
Batch=899, step=17700, lr=0.126500, batch loss=0.045187, epoch loss=0.621991
Batch=959, step=17760, lr=0.126250, batch loss=0.047072, epoch loss=0.669063
Batch=1019, step=17820, lr=0.126000, batch loss=0.136985, epoch loss=0.806048
Batch=1079, step=17880, lr=0.125750, batch loss=0.032512, epoch loss=0.838560
Batch=1139, step=17940, lr=0.125250, batch loss=0.056283, epoch loss=0.894843
Batch=1199, step=18000, lr=0.125250, batch loss=0.021507, epoch loss=0.916350
Epoch=14, step=18000, lr=0.125250, epoch loss=0.916350
Batch=59, step=18060, lr=0.125000, batch loss=0.013018, epoch loss=0.013018
Batch=119, step=18120, lr=0.124750, batch loss=0.018917, epoch loss=0.031935
Batch=179, step=18180, lr=0.124500, batch loss=0.029044, epoch loss=0.060979
Batch=239, step=18240, lr=0.124250, batch loss=0.034213, epoch loss=0.095192
Batch=299, step=18300, lr=0.124000, batch loss=0.013892, epoch loss=0.109084
Batch=359, step=18360, lr=0.123750, batch loss=0.023030, epoch loss=0.132114
Batch=419, step=18420, lr=0.123500, batch loss=0.028420, epoch loss=0.160534
Batch=479, step=18480, lr=0.123250, batch loss=0.022936, epoch loss=0.183470
Batch=539, step=18540, lr=0.123000, batch loss=0.044570, epoch loss=0.228040
Batch=599, step=18600, lr=0.122750, batch loss=0.025986, epoch loss=0.254026
Batch=659, step=18660, lr=0.122500, batch loss=0.033340, epoch loss=0.287366
Batch=719, step=18720, lr=0.122250, batch loss=0.037767, epoch loss=0.325133
Batch=779, step=18780, lr=0.122000, batch loss=0.131262, epoch loss=0.456395
Batch=839, step=18840, lr=0.121500, batch loss=0.058738, epoch loss=0.515133
Batch=899, step=18900, lr=0.121500, batch loss=0.058578, epoch loss=0.573712
Batch=959, step=18960, lr=0.121250, batch loss=0.014573, epoch loss=0.588284
Batch=1019, step=19020, lr=0.121000, batch loss=0.021450, epoch loss=0.609734
Batch=1079, step=19080, lr=0.120750, batch loss=0.008358, epoch loss=0.618092
Batch=1139, step=19140, lr=0.120500, batch loss=0.024436, epoch loss=0.642528
Batch=1199, step=19200, lr=0.120000, batch loss=0.009374, epoch loss=0.651902
Epoch=15, step=19200, lr=0.120000, epoch loss=0.651902
Batch=59, step=19260, lr=0.120000, batch loss=0.005096, epoch loss=0.005096
Batch=119, step=19320, lr=0.119750, batch loss=0.020258, epoch loss=0.025354
Batch=179, step=19380, lr=0.119500, batch loss=0.048757, epoch loss=0.074111
Batch=239, step=19440, lr=0.119250, batch loss=0.022224, epoch loss=0.096336
Batch=299, step=19500, lr=0.118750, batch loss=0.018427, epoch loss=0.114763
Batch=359, step=19560, lr=0.118750, batch loss=0.032243, epoch loss=0.147006
Batch=419, step=19620, lr=0.118500, batch loss=0.020271, epoch loss=0.167278
Batch=479, step=19680, lr=0.118250, batch loss=0.007314, epoch loss=0.174592
Batch=539, step=19740, lr=0.118000, batch loss=0.019300, epoch loss=0.193892
Batch=599, step=19800, lr=0.117750, batch loss=0.024267, epoch loss=0.218159
Batch=659, step=19860, lr=0.117500, batch loss=0.020980, epoch loss=0.239140
Batch=719, step=19920, lr=0.117250, batch loss=0.051909, epoch loss=0.291048
Batch=779, step=19980, lr=0.117000, batch loss=0.086104, epoch loss=0.377152
Batch=839, step=20040, lr=0.116750, batch loss=0.030722, epoch loss=0.407874
Batch=899, step=20100, lr=0.116500, batch loss=0.033409, epoch loss=0.441282
Batch=959, step=20160, lr=0.116250, batch loss=0.011324, epoch loss=0.452607
Batch=1019, step=20220, lr=0.116000, batch loss=0.015036, epoch loss=0.467643
Batch=1079, step=20280, lr=0.115750, batch loss=0.002068, epoch loss=0.469711
Batch=1139, step=20340, lr=0.115500, batch loss=0.015114, epoch loss=0.484825
Batch=1199, step=20400, lr=0.115250, batch loss=0.005536, epoch loss=0.490362
Epoch=16, step=20400, lr=0.115250, epoch loss=0.490362
Batch=59, step=20460, lr=0.115000, batch loss=0.003059, epoch loss=0.003059
Batch=119, step=20520, lr=0.114750, batch loss=0.009705, epoch loss=0.012765
Batch=179, step=20580, lr=0.114500, batch loss=0.023170, epoch loss=0.035934
Batch=239, step=20640, lr=0.114250, batch loss=0.015567, epoch loss=0.051501
Batch=299, step=20700, lr=0.114000, batch loss=0.004514, epoch loss=0.056015
Batch=359, step=20760, lr=0.113750, batch loss=0.013826, epoch loss=0.069841
Batch=419, step=20820, lr=0.113500, batch loss=0.014174, epoch loss=0.084016
Batch=479, step=20880, lr=0.113250, batch loss=0.004705, epoch loss=0.088721
Batch=539, step=20940, lr=0.113000, batch loss=0.015668, epoch loss=0.104390
Batch=599, step=21000, lr=0.112750, batch loss=0.018163, epoch loss=0.122553
Batch=659, step=21060, lr=0.112500, batch loss=0.013289, epoch loss=0.135842
Batch=719, step=21120, lr=0.112250, batch loss=0.038641, epoch loss=0.174483
Batch=779, step=21180, lr=0.112000, batch loss=0.068438, epoch loss=0.242921
Batch=839, step=21240, lr=0.111750, batch loss=0.025058, epoch loss=0.267979
Batch=899, step=21300, lr=0.111500, batch loss=0.028022, epoch loss=0.296000
Batch=959, step=21360, lr=0.111250, batch loss=0.010156, epoch loss=0.306156
Batch=1019, step=21420, lr=0.111000, batch loss=0.010375, epoch loss=0.316531
Batch=1079, step=21480, lr=0.110750, batch loss=0.001845, epoch loss=0.318377
Batch=1139, step=21540, lr=0.110500, batch loss=0.012433, epoch loss=0.330810
Batch=1199, step=21600, lr=0.110250, batch loss=0.004999, epoch loss=0.335809
Epoch=17, step=21600, lr=0.110250, epoch loss=0.335809
Batch=59, step=21660, lr=0.110000, batch loss=0.002529, epoch loss=0.002529
Batch=119, step=21720, lr=0.109750, batch loss=0.006496, epoch loss=0.009025
Batch=179, step=21780, lr=0.109500, batch loss=0.012718, epoch loss=0.021742
Batch=239, step=21840, lr=0.109250, batch loss=0.009704, epoch loss=0.031447
Batch=299, step=21900, lr=0.108750, batch loss=0.001713, epoch loss=0.033160
Batch=359, step=21960, lr=0.108750, batch loss=0.011025, epoch loss=0.044185
Batch=419, step=22020, lr=0.108500, batch loss=0.011840, epoch loss=0.056024
Batch=479, step=22080, lr=0.108250, batch loss=0.003217, epoch loss=0.059241
Batch=539, step=22140, lr=0.108000, batch loss=0.018448, epoch loss=0.077688
Batch=599, step=22200, lr=0.107750, batch loss=0.016776, epoch loss=0.094464
Batch=659, step=22260, lr=0.107500, batch loss=0.015855, epoch loss=0.110319
Batch=719, step=22320, lr=0.107250, batch loss=0.024652, epoch loss=0.134971
Batch=779, step=22380, lr=0.107000, batch loss=0.036362, epoch loss=0.171333
Batch=839, step=22440, lr=0.106750, batch loss=0.026933, epoch loss=0.198266
Batch=899, step=22500, lr=0.106250, batch loss=0.026208, epoch loss=0.224473
Batch=959, step=22560, lr=0.106000, batch loss=0.009230, epoch loss=0.233703
Batch=1019, step=22620, lr=0.106000, batch loss=0.009038, epoch loss=0.242742
Batch=1079, step=22680, lr=0.105750, batch loss=0.000725, epoch loss=0.243467
Batch=1139, step=22740, lr=0.105500, batch loss=0.010706, epoch loss=0.254173
Batch=1199, step=22800, lr=0.105250, batch loss=0.004846, epoch loss=0.259019
Epoch=18, step=22800, lr=0.105250, epoch loss=0.259019
Batch=59, step=22860, lr=0.105000, batch loss=0.001944, epoch loss=0.001944
Batch=119, step=22920, lr=0.104750, batch loss=0.005811, epoch loss=0.007755
Batch=179, step=22980, lr=0.104500, batch loss=0.011008, epoch loss=0.018763
Batch=239, step=23040, lr=0.104250, batch loss=0.011696, epoch loss=0.030459
Batch=299, step=23100, lr=0.104000, batch loss=0.008000, epoch loss=0.038459
Batch=359, step=23160, lr=0.103750, batch loss=0.011177, epoch loss=0.049636
Batch=419, step=23220, lr=0.103500, batch loss=0.010948, epoch loss=0.060584
Batch=479, step=23280, lr=0.103250, batch loss=0.002574, epoch loss=0.063158
Batch=539, step=23340, lr=0.103000, batch loss=0.017498, epoch loss=0.080656
Batch=599, step=23400, lr=0.102500, batch loss=0.013987, epoch loss=0.094642
Batch=659, step=23460, lr=0.102500, batch loss=0.010434, epoch loss=0.105076
Batch=719, step=23520, lr=0.102250, batch loss=0.014463, epoch loss=0.119539
Batch=779, step=23580, lr=0.102000, batch loss=0.022095, epoch loss=0.141634
Batch=839, step=23640, lr=0.101750, batch loss=0.028021, epoch loss=0.169656
Batch=899, step=23700, lr=0.101500, batch loss=0.022005, epoch loss=0.191661
Batch=959, step=23760, lr=0.101000, batch loss=0.010366, epoch loss=0.202026
Batch=1019, step=23820, lr=0.101000, batch loss=0.008243, epoch loss=0.210270
Batch=1079, step=23880, lr=0.100750, batch loss=0.000739, epoch loss=0.211009
Batch=1139, step=23940, lr=0.100250, batch loss=0.009632, epoch loss=0.220641
Batch=1199, step=24000, lr=0.100250, batch loss=0.004679, epoch loss=0.225320
Epoch=19, step=24000, lr=0.100250, epoch loss=0.225320


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 16:21.57 ---> saved as "5d2d813ef178163de8e8c0c76aa47a591c3ea91f5a8ac78e205fb4cf3a705018"
Job succeeded
2025-03-21 16:21.58: Job succeeded