opensuse-15.6-5.3_opam-2.3

2025-03-21 15:22.29: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f6ea3750d181d26e3fd23df51a415f362cff8525) (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 f6ea3750
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 15:22.29: 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 15:22.29: 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 15:22.29: Waiting for resource in pool OCluster
2025-03-21 15:22.29: Waiting for worker…
2025-03-21 15:29.16: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at f6ea3750 Untested: revert the Cmpne primitive op: can be used to test for NaN (x <> x ==> x = NaN)


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
2025-03-21 15:42.49 ---> saved as "97c0fadd2a2f6fc0d6f7c024b06fdc5e37314bdc6a75a12d7cd819ed6ccf2aa0"


/: (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 15:42.49 ---> saved as "ae8deb97ac3f0d225fc1c09301f1ecf73216745312621d386a5a7c1d83af4ac0"


/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 15:44.20 ---> saved as "b9e7493c2d0282d19720dc154beb4021e405218902724c60e81ee6d906a24ad1"


/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 15:44.21 ---> saved as "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 15:44.21 ---> saved as "3336fd0a8b7aa274901f66563ebf4bbae201df957a49f9776cc6d20c7be356cc"


/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 15:45.26 ---> saved as "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:45.26 ---> saved as "5e66a281da679ea54cc763b9eee1458a39f12e00c5f33d20db9db3b5ae6e3cb6"


/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 15:45.41 ---> saved as "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:45.42 ---> saved as "f55e7ac5f29f517c31f26aaca6e22d29e8e4db7c25088e26154874f701058085"


/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 15:47.10 ---> saved as "a4a8b70afc2e1326b01fe86fdc48e5f6293744c067d363eeb9a6b275a2fb3303"


/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 15:51.33 ---> saved as "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05"


/src: (copy (src .) (dst /src))
2025-03-21 15:51.34 ---> saved as "6f9f95f8573c4c20d8c95a9e29a50b592897fa29700137460e25deee8f6688a3"


/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/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/1c59e72793ae45f1ecaace3e5e71c574/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/ef39f5e165b4c8b72ca3fc3b26ceae92/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/ef39f5e165b4c8b72ca3fc3b26ceae92/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=0.196250, batch loss=0.382842, epoch loss=43.790453
Batch=959, step=960, lr=0.196000, batch loss=0.245383, epoch loss=44.035836
Batch=1019, step=1020, lr=0.195750, batch loss=0.466241, epoch loss=44.502078
Batch=1079, step=1080, lr=0.195500, batch loss=0.249058, epoch loss=44.751135
Batch=1139, step=1140, lr=0.195500, batch loss=0.317277, epoch loss=45.068412
Batch=1199, step=1200, lr=0.195250, batch loss=0.263961, epoch loss=45.332373
Epoch=0, step=1200, lr=0.195250, epoch loss=45.332373
Batch=59, step=1260, lr=0.195000, batch loss=0.262374, epoch loss=0.262374
Batch=119, step=1320, lr=0.194750, batch loss=0.205145, epoch loss=0.467519
Batch=179, step=1380, lr=0.194500, batch loss=0.243650, epoch loss=0.711169
Batch=239, step=1440, lr=0.194250, batch loss=0.346382, epoch loss=1.057551
Batch=299, step=1500, lr=0.194000, batch loss=0.239762, epoch loss=1.297314
Batch=359, step=1560, lr=0.193750, batch loss=0.310225, epoch loss=1.607538
Batch=419, step=1620, lr=0.193500, batch loss=0.310641, epoch loss=1.918179
Batch=479, step=1680, lr=0.193250, batch loss=0.273990, epoch loss=2.192170
Batch=539, step=1740, lr=0.193000, batch loss=0.212991, epoch loss=2.405161
Batch=599, step=1800, lr=0.192750, batch loss=0.258701, epoch loss=2.663862
Batch=659, step=1860, lr=0.192500, batch loss=0.378425, epoch loss=3.042287
Batch=719, step=1920, lr=0.192250, batch loss=0.355543, epoch loss=3.397830
Batch=779, step=1980, lr=0.192000, batch loss=0.382628, epoch loss=3.780457
Batch=839, step=2040, lr=0.191750, batch loss=0.340374, epoch loss=4.120831
Batch=899, step=2100, lr=0.191500, batch loss=0.294799, epoch loss=4.415630
Batch=959, step=2160, lr=0.191250, batch loss=0.213985, epoch loss=4.629615
Batch=1019, step=2220, lr=0.191000, batch loss=0.329650, epoch loss=4.959264
Batch=1079, step=2280, lr=0.190750, batch loss=0.195851, epoch loss=5.155115
Batch=1139, step=2340, lr=0.190500, batch loss=0.260648, epoch loss=5.415763
Batch=1199, step=2400, lr=0.190250, batch loss=0.210883, epoch loss=5.626645
Epoch=1, step=2400, lr=0.190250, epoch loss=5.626645
Batch=59, step=2460, lr=0.190000, batch loss=0.228659, epoch loss=0.228659
Batch=119, step=2520, lr=0.189750, batch loss=0.198595, epoch loss=0.427254
Batch=179, step=2580, lr=0.189500, batch loss=0.219090, epoch loss=0.646344
Batch=239, step=2640, lr=0.189250, batch loss=0.326878, epoch loss=0.973222
Batch=299, step=2700, lr=0.189000, batch loss=0.208656, epoch loss=1.181878
Batch=359, step=2760, lr=0.188750, batch loss=0.291693, epoch loss=1.473571
Batch=419, step=2820, lr=0.188500, batch loss=0.282128, epoch loss=1.755699
Batch=479, step=2880, lr=0.188250, batch loss=0.262430, epoch loss=2.018130
Batch=539, step=2940, lr=0.188000, batch loss=0.208295, epoch loss=2.226424
Batch=599, step=3000, lr=0.187750, batch loss=0.257612, epoch loss=2.484036
Batch=659, step=3060, lr=0.187250, batch loss=0.358570, epoch loss=2.842607
Batch=719, step=3120, lr=0.187250, batch loss=0.360792, epoch loss=3.203399
Batch=779, step=3180, lr=0.187000, batch loss=0.360256, epoch loss=3.563655
Batch=839, step=3240, lr=0.186750, batch loss=0.328139, epoch loss=3.891793
Batch=899, step=3300, lr=0.186250, batch loss=0.297861, epoch loss=4.189654
Batch=959, step=3360, lr=0.186250, batch loss=0.239372, epoch loss=4.429025
Batch=1019, step=3420, lr=0.186000, batch loss=0.352549, epoch loss=4.781575
Batch=1079, step=3480, lr=0.185750, batch loss=0.230682, epoch loss=5.012257
Batch=1139, step=3540, lr=0.185250, batch loss=0.258750, epoch loss=5.271007
Batch=1199, step=3600, lr=0.185250, batch loss=0.198684, epoch loss=5.469691
Epoch=2, step=3600, lr=0.185250, epoch loss=5.469691
Batch=59, step=3660, lr=0.184750, batch loss=0.223914, epoch loss=0.223914
Batch=119, step=3720, lr=0.184750, batch loss=0.183614, epoch loss=0.407527
Batch=179, step=3780, lr=0.184500, batch loss=0.212172, epoch loss=0.619700
Batch=239, step=3840, lr=0.184250, batch loss=0.316846, epoch loss=0.936546
Batch=299, step=3900, lr=0.184000, batch loss=0.204642, epoch loss=1.141188
Batch=359, step=3960, lr=0.183750, batch loss=0.281392, epoch loss=1.422580
Batch=419, step=4020, lr=0.183500, batch loss=0.272084, epoch loss=1.694664
Batch=479, step=4080, lr=0.183250, batch loss=0.245662, epoch loss=1.940327
Batch=539, step=4140, lr=0.183000, batch loss=0.193987, epoch loss=2.134313
Batch=599, step=4200, lr=0.182750, batch loss=0.233532, epoch loss=2.367845
Batch=659, step=4260, lr=0.182500, batch loss=0.334220, epoch loss=2.702065
Batch=719, step=4320, lr=0.182250, batch loss=0.343890, epoch loss=3.045955
Batch=779, step=4380, lr=0.182000, batch loss=0.350157, epoch loss=3.396112
Batch=839, step=4440, lr=0.181750, batch loss=0.317133, epoch loss=3.713245
Batch=899, step=4500, lr=0.181500, batch loss=0.285862, epoch loss=3.999107
Batch=959, step=4560, lr=0.181250, batch loss=0.239518, epoch loss=4.238625
Batch=1019, step=4620, lr=0.181000, batch loss=0.331059, epoch loss=4.569684
Batch=1079, step=4680, lr=0.180750, batch loss=0.195900, epoch loss=4.765584
Batch=1139, step=4740, lr=0.180500, batch loss=0.228247, epoch loss=4.993832
Batch=1199, step=4800, lr=0.180250, batch loss=0.193415, epoch loss=5.187246
Epoch=3, step=4800, lr=0.180250, epoch loss=5.187246
Batch=59, step=4860, lr=0.180000, batch loss=0.234916, epoch loss=0.234916
Batch=119, step=4920, lr=0.179750, batch loss=0.193258, epoch loss=0.428174
Batch=179, step=4980, lr=0.179500, batch loss=0.206661, epoch loss=0.634834
Batch=239, step=5040, lr=0.179250, batch loss=0.308515, epoch loss=0.943349
Batch=299, step=5100, lr=0.179000, batch loss=0.207080, epoch loss=1.150429
Batch=359, step=5160, lr=0.178750, batch loss=0.275256, epoch loss=1.425684
Batch=419, step=5220, lr=0.178500, batch loss=0.265736, epoch loss=1.691420
Batch=479, step=5280, lr=0.178250, batch loss=0.241650, epoch loss=1.933070
Batch=539, step=5340, lr=0.178000, batch loss=0.188882, epoch loss=2.121952
Batch=599, step=5400, lr=0.177750, batch loss=0.232073, epoch loss=2.354025
Batch=659, step=5460, lr=0.177500, batch loss=0.323488, epoch loss=2.677513
Batch=719, step=5520, lr=0.177250, batch loss=0.325861, epoch loss=3.003374
Batch=779, step=5580, lr=0.177000, batch loss=0.348070, epoch loss=3.351444
Batch=839, step=5640, lr=0.176750, batch loss=0.305744, epoch loss=3.657188
Batch=899, step=5700, lr=0.176250, batch loss=0.266504, epoch loss=3.923691
Batch=959, step=5760, lr=0.176250, batch loss=0.200369, epoch loss=4.124061
Batch=1019, step=5820, lr=0.176000, batch loss=0.300374, epoch loss=4.424435
Batch=1079, step=5880, lr=0.175750, batch loss=0.179893, epoch loss=4.604328
Batch=1139, step=5940, lr=0.175500, batch loss=0.222167, epoch loss=4.826495
Batch=1199, step=6000, lr=0.175250, batch loss=0.185751, epoch loss=5.012246
Epoch=4, step=6000, lr=0.175250, epoch loss=5.012246
Batch=59, step=6060, lr=0.175000, batch loss=0.218036, epoch loss=0.218036
Batch=119, step=6120, lr=0.174750, batch loss=0.189323, epoch loss=0.407359
Batch=179, step=6180, lr=0.174500, batch loss=0.199166, epoch loss=0.606525
Batch=239, step=6240, lr=0.174250, batch loss=0.300336, epoch loss=0.906861
Batch=299, step=6300, lr=0.174000, batch loss=0.212230, epoch loss=1.119091
Batch=359, step=6360, lr=0.173750, batch loss=0.273953, epoch loss=1.393045
Batch=419, step=6420, lr=0.173500, batch loss=0.266070, epoch loss=1.659115
Batch=479, step=6480, lr=0.173250, batch loss=0.243494, epoch loss=1.902609
Batch=539, step=6540, lr=0.172750, batch loss=0.196366, epoch loss=2.098974
Batch=599, step=6600, lr=0.172750, batch loss=0.242287, epoch loss=2.341261
Batch=659, step=6660, lr=0.172500, batch loss=0.312342, epoch loss=2.653603
Batch=719, step=6720, lr=0.172250, batch loss=0.317400, epoch loss=2.971003
Batch=779, step=6780, lr=0.172000, batch loss=0.329469, epoch loss=3.300472
Batch=839, step=6840, lr=0.171750, batch loss=0.300552, epoch loss=3.601024
Batch=899, step=6900, lr=0.171500, batch loss=0.270921, epoch loss=3.871945
Batch=959, step=6960, lr=0.171250, batch loss=0.218418, epoch loss=4.090363
Batch=1019, step=7020, lr=0.171000, batch loss=0.324301, epoch loss=4.414663
Batch=1079, step=7080, lr=0.170750, batch loss=0.181686, epoch loss=4.596349
Batch=1139, step=7140, lr=0.170500, batch loss=0.216965, epoch loss=4.813314
Batch=1199, step=7200, lr=0.170250, batch loss=0.182784, epoch loss=4.996098
Epoch=5, step=7200, lr=0.170250, epoch loss=4.996098
Batch=59, step=7260, lr=0.170000, batch loss=0.239806, epoch loss=0.239806
Batch=119, step=7320, lr=0.169750, batch loss=0.180176, epoch loss=0.419982
Batch=179, step=7380, lr=0.169500, batch loss=0.194597, epoch loss=0.614579
Batch=239, step=7440, lr=0.169250, batch loss=0.290936, epoch loss=0.905515
Batch=299, step=7500, lr=0.168750, batch loss=0.207978, epoch loss=1.113493
Batch=359, step=7560, lr=0.168750, batch loss=0.261188, epoch loss=1.374681
Batch=419, step=7620, lr=0.168250, batch loss=0.253643, epoch loss=1.628324
Batch=479, step=7680, lr=0.168250, batch loss=0.232156, epoch loss=1.860479
Batch=539, step=7740, lr=0.168000, batch loss=0.193498, epoch loss=2.053977
Batch=599, step=7800, lr=0.167750, batch loss=0.225554, epoch loss=2.279531
Batch=659, step=7860, lr=0.167500, batch loss=0.305556, epoch loss=2.585087
Batch=719, step=7920, lr=0.167250, batch loss=0.308277, epoch loss=2.893364
Batch=779, step=7980, lr=0.166750, batch loss=0.326268, epoch loss=3.219632
Batch=839, step=8040, lr=0.166750, batch loss=0.294377, epoch loss=3.514009
Batch=899, step=8100, lr=0.166500, batch loss=0.261456, epoch loss=3.775465
Batch=959, step=8160, lr=0.166250, batch loss=0.202833, epoch loss=3.978298
Batch=1019, step=8220, lr=0.166000, batch loss=0.320279, epoch loss=4.298578
Batch=1079, step=8280, lr=0.165750, batch loss=0.167140, epoch loss=4.465718
Batch=1139, step=8340, lr=0.165500, batch loss=0.205234, epoch loss=4.670952
Batch=1199, step=8400, lr=0.165250, batch loss=0.180025, epoch loss=4.850977
Epoch=6, step=8400, lr=0.165250, epoch loss=4.850977
Batch=59, step=8460, lr=0.165000, batch loss=0.224787, epoch loss=0.224787
Batch=119, step=8520, lr=0.164750, batch loss=0.177768, epoch loss=0.402555
Batch=179, step=8580, lr=0.164500, batch loss=0.186622, epoch loss=0.589177
Batch=239, step=8640, lr=0.164250, batch loss=0.275813, epoch loss=0.864991
Batch=299, step=8700, lr=0.164000, batch loss=0.192449, epoch loss=1.057440
Batch=359, step=8760, lr=0.163750, batch loss=0.248179, epoch loss=1.305619
Batch=419, step=8820, lr=0.163500, batch loss=0.244265, epoch loss=1.549884
Batch=479, step=8880, lr=0.163250, batch loss=0.228714, epoch loss=1.778598
Batch=539, step=8940, lr=0.163000, batch loss=0.177941, epoch loss=1.956539
Batch=599, step=9000, lr=0.162750, batch loss=0.218070, epoch loss=2.174609
Batch=659, step=9060, lr=0.162500, batch loss=0.292588, epoch loss=2.467197
Batch=719, step=9120, lr=0.162250, batch loss=0.294138, epoch loss=2.761335
Batch=779, step=9180, lr=0.162000, batch loss=0.314480, epoch loss=3.075815
Batch=839, step=9240, lr=0.161750, batch loss=0.286294, epoch loss=3.362108
Batch=899, step=9300, lr=0.161500, batch loss=0.249730, epoch loss=3.611838
Batch=959, step=9360, lr=0.161000, batch loss=0.192403, epoch loss=3.804241
Batch=1019, step=9420, lr=0.161000, batch loss=0.316660, epoch loss=4.120901
Batch=1079, step=9480, lr=0.160750, batch loss=0.202534, epoch loss=4.323436
Batch=1139, step=9540, lr=0.160500, batch loss=0.216836, epoch loss=4.540272
Batch=1199, step=9600, lr=0.160250, batch loss=0.165594, epoch loss=4.705865
Epoch=7, step=9600, lr=0.160250, epoch loss=4.705865
Batch=59, step=9660, lr=0.160000, batch loss=0.195311, epoch loss=0.195311
Batch=119, step=9720, lr=0.159750, batch loss=0.166502, epoch loss=0.361813
Batch=179, step=9780, lr=0.159500, batch loss=0.178424, epoch loss=0.540237
Batch=239, step=9840, lr=0.159250, batch loss=0.261419, epoch loss=0.801655
Batch=299, step=9900, lr=0.159000, batch loss=0.182434, epoch loss=0.984090
Batch=359, step=9960, lr=0.158750, batch loss=0.242602, epoch loss=1.226691
Batch=419, step=10020, lr=0.158500, batch loss=0.231630, epoch loss=1.458322
Batch=479, step=10080, lr=0.158250, batch loss=0.213133, epoch loss=1.671455
Batch=539, step=10140, lr=0.158000, batch loss=0.170441, epoch loss=1.841896
Batch=599, step=10200, lr=0.157750, batch loss=0.201251, epoch loss=2.043148
Batch=659, step=10260, lr=0.157500, batch loss=0.280240, epoch loss=2.323387
Batch=719, step=10320, lr=0.157000, batch loss=0.285909, epoch loss=2.609296
Batch=779, step=10380, lr=0.157000, batch loss=0.294487, epoch loss=2.903783
Batch=839, step=10440, lr=0.156500, batch loss=0.266439, epoch loss=3.170221
Batch=899, step=10500, lr=0.156500, batch loss=0.241051, epoch loss=3.411273
Batch=959, step=10560, lr=0.156000, batch loss=0.199462, epoch loss=3.610735
Batch=1019, step=10620, lr=0.156000, batch loss=0.280592, epoch loss=3.891327
Batch=1079, step=10680, lr=0.155750, batch loss=0.158711, epoch loss=4.050037
Batch=1139, step=10740, lr=0.155500, batch loss=0.189797, epoch loss=4.239834
Batch=1199, step=10800, lr=0.155250, batch loss=0.153843, epoch loss=4.393677
Epoch=8, step=10800, lr=0.155250, epoch loss=4.393677
Batch=59, step=10860, lr=0.155000, batch loss=0.175457, epoch loss=0.175457
Batch=119, step=10920, lr=0.154750, batch loss=0.150076, epoch loss=0.325533
Batch=179, step=10980, lr=0.154500, batch loss=0.164983, epoch loss=0.490516
Batch=239, step=11040, lr=0.154250, batch loss=0.239259, epoch loss=0.729775
Batch=299, step=11100, lr=0.154000, batch loss=0.173267, epoch loss=0.903042
Batch=359, step=11160, lr=0.153750, batch loss=0.218349, epoch loss=1.121391
Batch=419, step=11220, lr=0.153250, batch loss=0.220626, epoch loss=1.342017
Batch=479, step=11280, lr=0.153000, batch loss=0.209345, epoch loss=1.551362
Batch=539, step=11340, lr=0.153000, batch loss=0.165381, epoch loss=1.716743
Batch=599, step=11400, lr=0.152750, batch loss=0.175474, epoch loss=1.892217
Batch=659, step=11460, lr=0.152500, batch loss=0.259332, epoch loss=2.151549
Batch=719, step=11520, lr=0.152250, batch loss=0.257380, epoch loss=2.408929
Batch=779, step=11580, lr=0.152000, batch loss=0.268186, epoch loss=2.677116
Batch=839, step=11640, lr=0.151750, batch loss=0.249325, epoch loss=2.926440
Batch=899, step=11700, lr=0.151250, batch loss=0.215005, epoch loss=3.141445
Batch=959, step=11760, lr=0.151250, batch loss=0.172339, epoch loss=3.313784
Batch=1019, step=11820, lr=0.151000, batch loss=0.259442, epoch loss=3.573226
Batch=1079, step=11880, lr=0.150750, batch loss=0.138448, epoch loss=3.711674
Batch=1139, step=11940, lr=0.150500, batch loss=0.182255, epoch loss=3.893929
Batch=1199, step=12000, lr=0.150250, batch loss=0.137642, epoch loss=4.031571
Epoch=9, step=12000, lr=0.150250, epoch loss=4.031571
Batch=59, step=12060, lr=0.150000, batch loss=0.157547, epoch loss=0.157547
Batch=119, step=12120, lr=0.149500, batch loss=0.127859, epoch loss=0.285406
Batch=179, step=12180, lr=0.149500, batch loss=0.152306, epoch loss=0.437712
Batch=239, step=12240, lr=0.149250, batch loss=0.217027, epoch loss=0.654739
Batch=299, step=12300, lr=0.149000, batch loss=0.139905, epoch loss=0.794644
Batch=359, step=12360, lr=0.148750, batch loss=0.197690, epoch loss=0.992334
Batch=419, step=12420, lr=0.148500, batch loss=0.212577, epoch loss=1.204911
Batch=479, step=12480, lr=0.148250, batch loss=0.172728, epoch loss=1.377639
Batch=539, step=12540, lr=0.148000, batch loss=0.144276, epoch loss=1.521915
Batch=599, step=12600, lr=0.147750, batch loss=0.148727, epoch loss=1.670642
Batch=659, step=12660, lr=0.147500, batch loss=0.222776, epoch loss=1.893419
Batch=719, step=12720, lr=0.147250, batch loss=0.238032, epoch loss=2.131451
Batch=779, step=12780, lr=0.147000, batch loss=0.256708, epoch loss=2.388159
Batch=839, step=12840, lr=0.146750, batch loss=0.233172, epoch loss=2.621330
Batch=899, step=12900, lr=0.146500, batch loss=0.231829, epoch loss=2.853160
Batch=959, step=12960, lr=0.146250, batch loss=0.137403, epoch loss=2.990563
Batch=1019, step=13020, lr=0.146000, batch loss=0.218535, epoch loss=3.209098
Batch=1079, step=13080, lr=0.145750, batch loss=0.107324, epoch loss=3.316422
Batch=1139, step=13140, lr=0.145500, batch loss=0.147758, epoch loss=3.464181
Batch=1199, step=13200, lr=0.145250, batch loss=0.115032, epoch loss=3.579213
Epoch=10, step=13200, lr=0.145250, epoch loss=3.579213
Batch=59, step=13260, lr=0.145000, batch loss=0.138554, epoch loss=0.138554
Batch=119, step=13320, lr=0.144750, batch loss=0.120469, epoch loss=0.259023
Batch=179, step=13380, lr=0.144250, batch loss=0.127599, epoch loss=0.386622
Batch=239, step=13440, lr=0.144000, batch loss=0.191382, epoch loss=0.578004
Batch=299, step=13500, lr=0.143750, batch loss=0.114801, epoch loss=0.692805
Batch=359, step=13560, lr=0.143500, batch loss=0.159686, epoch loss=0.852491
Batch=419, step=13620, lr=0.143250, batch loss=0.158111, epoch loss=1.010602
Batch=479, step=13680, lr=0.143250, batch loss=0.146022, epoch loss=1.156624
Batch=539, step=13740, lr=0.143000, batch loss=0.116323, epoch loss=1.272947
Batch=599, step=13800, lr=0.142750, batch loss=0.117761, epoch loss=1.390708
Batch=659, step=13860, lr=0.142500, batch loss=0.174200, epoch loss=1.564908
Batch=719, step=13920, lr=0.142250, batch loss=0.170565, epoch loss=1.735473
Batch=779, step=13980, lr=0.141750, batch loss=0.175389, epoch loss=1.910861
Batch=839, step=14040, lr=0.141750, batch loss=0.179353, epoch loss=2.090214
Batch=899, step=14100, lr=0.141500, batch loss=0.154621, epoch loss=2.244835
Batch=959, step=14160, lr=0.141250, batch loss=0.134720, epoch loss=2.379555
Batch=1019, step=14220, lr=0.140750, batch loss=0.341083, epoch loss=2.720637
Batch=1079, step=14280, lr=0.140500, batch loss=0.082279, epoch loss=2.802916
Batch=1139, step=14340, lr=0.140250, batch loss=0.120156, epoch loss=2.923072
Batch=1199, step=14400, lr=0.140000, batch loss=0.089750, epoch loss=3.012822
Epoch=11, step=14400, lr=0.140000, epoch loss=3.012822
Batch=59, step=14460, lr=0.139750, batch loss=0.110929, epoch loss=0.110929
Batch=119, step=14520, lr=0.139750, batch loss=0.100638, epoch loss=0.211567
Batch=179, step=14580, lr=0.139250, batch loss=0.103078, epoch loss=0.314644
Batch=239, step=14640, lr=0.139000, batch loss=0.138525, epoch loss=0.453169
Batch=299, step=14700, lr=0.138750, batch loss=0.077333, epoch loss=0.530502
Batch=359, step=14760, lr=0.138500, batch loss=0.125405, epoch loss=0.655907
Batch=419, step=14820, lr=0.138250, batch loss=0.124363, epoch loss=0.780270
Batch=479, step=14880, lr=0.138000, batch loss=0.103471, epoch loss=0.883741
Batch=539, step=14940, lr=0.138000, batch loss=0.116440, epoch loss=1.000181
Batch=599, step=15000, lr=0.137500, batch loss=0.087552, epoch loss=1.087733
Batch=659, step=15060, lr=0.137250, batch loss=0.124812, epoch loss=1.212546
Batch=719, step=15120, lr=0.137250, batch loss=0.128147, epoch loss=1.340692
Batch=779, step=15180, lr=0.137000, batch loss=0.150075, epoch loss=1.490767
Batch=839, step=15240, lr=0.136750, batch loss=0.163073, epoch loss=1.653840
Batch=899, step=15300, lr=0.136500, batch loss=0.282484, epoch loss=1.936324
Batch=959, step=15360, lr=0.136250, batch loss=0.058350, epoch loss=1.994674
Batch=1019, step=15420, lr=0.135750, batch loss=0.136309, epoch loss=2.130983
Batch=1079, step=15480, lr=0.135500, batch loss=0.045784, epoch loss=2.176766
Batch=1139, step=15540, lr=0.135250, batch loss=0.102382, epoch loss=2.279149
Batch=1199, step=15600, lr=0.135250, batch loss=0.060679, epoch loss=2.339828
Epoch=12, step=15600, lr=0.135250, epoch loss=2.339828
Batch=59, step=15660, lr=0.134750, batch loss=0.076067, epoch loss=0.076067
Batch=119, step=15720, lr=0.134750, batch loss=0.116250, epoch loss=0.192317
Batch=179, step=15780, lr=0.134500, batch loss=0.094112, epoch loss=0.286429
Batch=239, step=15840, lr=0.134000, batch loss=0.093220, epoch loss=0.379649
Batch=299, step=15900, lr=0.134000, batch loss=0.037000, epoch loss=0.416649
Batch=359, step=15960, lr=0.133500, batch loss=0.079837, epoch loss=0.496485
Batch=419, step=16020, lr=0.133250, batch loss=0.075717, epoch loss=0.572202
Batch=479, step=16080, lr=0.133000, batch loss=0.056947, epoch loss=0.629150
Batch=539, step=16140, lr=0.133000, batch loss=0.062189, epoch loss=0.691339
Batch=599, step=16200, lr=0.132500, batch loss=0.134126, epoch loss=0.825465
Batch=659, step=16260, lr=0.132500, batch loss=0.081703, epoch loss=0.907168
Batch=719, step=16320, lr=0.132250, batch loss=0.121999, epoch loss=1.029167
Batch=779, step=16380, lr=0.132000, batch loss=0.283357, epoch loss=1.312524
Batch=839, step=16440, lr=0.131750, batch loss=0.087565, epoch loss=1.400089
Batch=899, step=16500, lr=0.131500, batch loss=0.072687, epoch loss=1.472777
Batch=959, step=16560, lr=0.131250, batch loss=0.029646, epoch loss=1.502422
Batch=1019, step=16620, lr=0.131000, batch loss=0.057133, epoch loss=1.559555
Batch=1079, step=16680, lr=0.130750, batch loss=0.064530, epoch loss=1.624085
Batch=1139, step=16740, lr=0.130500, batch loss=0.125121, epoch loss=1.749206
Batch=1199, step=16800, lr=0.130000, batch loss=0.054183, epoch loss=1.803390
Epoch=13, step=16800, lr=0.130000, epoch loss=1.803390
Batch=59, step=16860, lr=0.130000, batch loss=0.032864, epoch loss=0.032864
Batch=119, step=16920, lr=0.129750, batch loss=0.033236, epoch loss=0.066100
Batch=179, step=16980, lr=0.129250, batch loss=0.043262, epoch loss=0.109362
Batch=239, step=17040, lr=0.129000, batch loss=0.058641, epoch loss=0.168003
Batch=299, step=17100, lr=0.129000, batch loss=0.018517, epoch loss=0.186519
Batch=359, step=17160, lr=0.128750, batch loss=0.042511, epoch loss=0.229030
Batch=419, step=17220, lr=0.128500, batch loss=0.044211, epoch loss=0.273242
Batch=479, step=17280, lr=0.128250, batch loss=0.021670, epoch loss=0.294911
Batch=539, step=17340, lr=0.128000, batch loss=0.051911, epoch loss=0.346823
Batch=599, step=17400, lr=0.127750, batch loss=0.088197, epoch loss=0.435020
Batch=659, step=17460, lr=0.127500, batch loss=0.050814, epoch loss=0.485834
Batch=719, step=17520, lr=0.127250, batch loss=0.068311, epoch loss=0.554145
Batch=779, step=17580, lr=0.127000, batch loss=0.109258, epoch loss=0.663403
Batch=839, step=17640, lr=0.126750, batch loss=0.075509, epoch loss=0.738912
Batch=899, step=17700, lr=0.126500, batch loss=0.088816, epoch loss=0.827728
Batch=959, step=17760, lr=0.126250, batch loss=0.029526, epoch loss=0.857254
Batch=1019, step=17820, lr=0.125750, batch loss=0.059526, epoch loss=0.916780
Batch=1079, step=17880, lr=0.125500, batch loss=0.017994, epoch loss=0.934774
Batch=1139, step=17940, lr=0.125500, batch loss=0.036567, epoch loss=0.971341
Batch=1199, step=18000, lr=0.125250, batch loss=0.016532, epoch loss=0.987873
Epoch=14, step=18000, lr=0.125250, epoch loss=0.987873
Batch=59, step=18060, lr=0.125000, batch loss=0.015847, epoch loss=0.015847
Batch=119, step=18120, lr=0.124750, batch loss=0.024951, epoch loss=0.040797
Batch=179, step=18180, lr=0.124500, batch loss=0.049191, epoch loss=0.089988
Batch=239, step=18240, lr=0.124250, batch loss=0.034830, epoch loss=0.124818
Batch=299, step=18300, lr=0.124000, batch loss=0.008107, epoch loss=0.132926
Batch=359, step=18360, lr=0.123500, batch loss=0.024551, epoch loss=0.157476
Batch=419, step=18420, lr=0.123500, batch loss=0.028657, epoch loss=0.186133
Batch=479, step=18480, lr=0.123250, batch loss=0.017419, epoch loss=0.203552
Batch=539, step=18540, lr=0.122750, batch loss=0.025616, epoch loss=0.229168
Batch=599, step=18600, lr=0.122750, batch loss=0.025934, epoch loss=0.255102
Batch=659, step=18660, lr=0.122500, batch loss=0.028595, epoch loss=0.283696
Batch=719, step=18720, lr=0.122000, batch loss=0.033060, epoch loss=0.316757
Batch=779, step=18780, lr=0.122000, batch loss=0.075302, epoch loss=0.392059
Batch=839, step=18840, lr=0.121750, batch loss=0.056500, epoch loss=0.448559
Batch=899, step=18900, lr=0.121500, batch loss=0.068798, epoch loss=0.517357
Batch=959, step=18960, lr=0.121250, batch loss=0.013497, epoch loss=0.530854
Batch=1019, step=19020, lr=0.121000, batch loss=0.019574, epoch loss=0.550428
Batch=1079, step=19080, lr=0.120750, batch loss=0.013419, epoch loss=0.563847
Batch=1139, step=19140, lr=0.120500, batch loss=0.026599, epoch loss=0.590445
Batch=1199, step=19200, lr=0.120250, batch loss=0.011158, epoch loss=0.601603
Epoch=15, step=19200, lr=0.120250, epoch loss=0.601603
Batch=59, step=19260, lr=0.119750, batch loss=0.007839, epoch loss=0.007839
Batch=119, step=19320, lr=0.119750, batch loss=0.032629, epoch loss=0.040468
Batch=179, step=19380, lr=0.119250, batch loss=0.080432, epoch loss=0.120900
Batch=239, step=19440, lr=0.119000, batch loss=0.032404, epoch loss=0.153305
Batch=299, step=19500, lr=0.119000, batch loss=0.010727, epoch loss=0.164032
Batch=359, step=19560, lr=0.118750, batch loss=0.024477, epoch loss=0.188509
Batch=419, step=19620, lr=0.118500, batch loss=0.020450, epoch loss=0.208959
Batch=479, step=19680, lr=0.118000, batch loss=0.006868, epoch loss=0.215827
Batch=539, step=19740, lr=0.118000, batch loss=0.017779, epoch loss=0.233606
Batch=599, step=19800, lr=0.117750, batch loss=0.021773, epoch loss=0.255380
Batch=659, step=19860, lr=0.117250, batch loss=0.018305, epoch loss=0.273685
Batch=719, step=19920, lr=0.117000, batch loss=0.038587, epoch loss=0.312272
Batch=779, step=19980, lr=0.117000, batch loss=0.077368, epoch loss=0.389640
Batch=839, step=20040, lr=0.116750, batch loss=0.030991, epoch loss=0.420631
Batch=899, step=20100, lr=0.116500, batch loss=0.032280, epoch loss=0.452911
Batch=959, step=20160, lr=0.116000, batch loss=0.011405, epoch loss=0.464316
Batch=1019, step=20220, lr=0.115750, batch loss=0.014177, epoch loss=0.478493
Batch=1079, step=20280, lr=0.115750, batch loss=0.002210, epoch loss=0.480703
Batch=1139, step=20340, lr=0.115500, batch loss=0.015038, epoch loss=0.495741
Batch=1199, step=20400, lr=0.115000, batch loss=0.006670, epoch loss=0.502411
Epoch=16, step=20400, lr=0.115000, epoch loss=0.502411
Batch=59, step=20460, lr=0.114750, batch loss=0.003474, epoch loss=0.003474
Batch=119, step=20520, lr=0.114500, batch loss=0.008327, epoch loss=0.011802
Batch=179, step=20580, lr=0.114250, batch loss=0.015369, epoch loss=0.027170
Batch=239, step=20640, lr=0.114000, batch loss=0.012945, epoch loss=0.040116
Batch=299, step=20700, lr=0.113750, batch loss=0.004986, epoch loss=0.045102
Batch=359, step=20760, lr=0.113500, batch loss=0.015842, epoch loss=0.060944
Batch=419, step=20820, lr=0.113250, batch loss=0.015289, epoch loss=0.076233
Batch=479, step=20880, lr=0.113250, batch loss=0.004640, epoch loss=0.080873
Batch=539, step=20940, lr=0.113000, batch loss=0.026505, epoch loss=0.107378
Batch=599, step=21000, lr=0.112750, batch loss=0.021103, epoch loss=0.128482
Batch=659, step=21060, lr=0.112500, batch loss=0.014217, epoch loss=0.142698
Batch=719, step=21120, lr=0.112000, batch loss=0.030136, epoch loss=0.172834
Batch=779, step=21180, lr=0.112000, batch loss=0.048167, epoch loss=0.221001
Batch=839, step=21240, lr=0.111500, batch loss=0.027168, epoch loss=0.248169
Batch=899, step=21300, lr=0.111250, batch loss=0.025333, epoch loss=0.273502
Batch=959, step=21360, lr=0.111000, batch loss=0.017085, epoch loss=0.290588
Batch=1019, step=21420, lr=0.111000, batch loss=0.016445, epoch loss=0.307033
Batch=1079, step=21480, lr=0.110750, batch loss=0.001158, epoch loss=0.308190
Batch=1139, step=21540, lr=0.110500, batch loss=0.013057, epoch loss=0.321247
Batch=1199, step=21600, lr=0.110250, batch loss=0.004833, epoch loss=0.326080
Epoch=17, step=21600, lr=0.110250, epoch loss=0.326080
Batch=59, step=21660, lr=0.110000, batch loss=0.002227, epoch loss=0.002227
Batch=119, step=21720, lr=0.109750, batch loss=0.007689, epoch loss=0.009916
Batch=179, step=21780, lr=0.109500, batch loss=0.011814, epoch loss=0.021730
Batch=239, step=21840, lr=0.109250, batch loss=0.009789, epoch loss=0.031520
Batch=299, step=21900, lr=0.108750, batch loss=0.007890, epoch loss=0.039410
Batch=359, step=21960, lr=0.108500, batch loss=0.014864, epoch loss=0.054274
Batch=419, step=22020, lr=0.108250, batch loss=0.012874, epoch loss=0.067148
Batch=479, step=22080, lr=0.108250, batch loss=0.002946, epoch loss=0.070094
Batch=539, step=22140, lr=0.108000, batch loss=0.019565, epoch loss=0.089659
Batch=599, step=22200, lr=0.107750, batch loss=0.017487, epoch loss=0.107145
Batch=659, step=22260, lr=0.107500, batch loss=0.015055, epoch loss=0.122200
Batch=719, step=22320, lr=0.107250, batch loss=0.022215, epoch loss=0.144415
Batch=779, step=22380, lr=0.106750, batch loss=0.032787, epoch loss=0.177202
Batch=839, step=22440, lr=0.106750, batch loss=0.028504, epoch loss=0.205706
Batch=899, step=22500, lr=0.106500, batch loss=0.024355, epoch loss=0.230061
Batch=959, step=22560, lr=0.106250, batch loss=0.009245, epoch loss=0.239306
Batch=1019, step=22620, lr=0.106000, batch loss=0.007735, epoch loss=0.247042
Batch=1079, step=22680, lr=0.105750, batch loss=0.001982, epoch loss=0.249024
Batch=1139, step=22740, lr=0.105500, batch loss=0.010427, epoch loss=0.259451
Batch=1199, step=22800, lr=0.105000, batch loss=0.004807, epoch loss=0.264258
Epoch=18, step=22800, lr=0.105000, epoch loss=0.264258
Batch=59, step=22860, lr=0.104750, batch loss=0.001653, epoch loss=0.001653
Batch=119, step=22920, lr=0.104750, batch loss=0.005257, epoch loss=0.006910
Batch=179, step=22980, lr=0.104500, batch loss=0.010210, epoch loss=0.017120
Batch=239, step=23040, lr=0.104250, batch loss=0.009224, epoch loss=0.026343
Batch=299, step=23100, lr=0.104000, batch loss=0.001952, epoch loss=0.028295
Batch=359, step=23160, lr=0.103750, batch loss=0.010504, epoch loss=0.038799
Batch=419, step=23220, lr=0.103500, batch loss=0.010239, epoch loss=0.049038
Batch=479, step=23280, lr=0.103000, batch loss=0.002383, epoch loss=0.051421
Batch=539, step=23340, lr=0.103000, batch loss=0.017170, epoch loss=0.068591
Batch=599, step=23400, lr=0.102750, batch loss=0.013663, epoch loss=0.082254
Batch=659, step=23460, lr=0.102500, batch loss=0.011599, epoch loss=0.093853
Batch=719, step=23520, lr=0.102250, batch loss=0.011766, epoch loss=0.105619
Batch=779, step=23580, lr=0.102000, batch loss=0.024212, epoch loss=0.129832
Batch=839, step=23640, lr=0.101750, batch loss=0.026603, epoch loss=0.156434
Batch=899, step=23700, lr=0.101500, batch loss=0.021676, epoch loss=0.178111
Batch=959, step=23760, lr=0.101000, batch loss=0.007942, epoch loss=0.186053
Batch=1019, step=23820, lr=0.101000, batch loss=0.007095, epoch loss=0.193148
Batch=1079, step=23880, lr=0.100750, batch loss=0.001391, epoch loss=0.194539
Batch=1139, step=23940, lr=0.100500, batch loss=0.008162, epoch loss=0.202701
Batch=1199, step=24000, lr=0.100250, batch loss=0.004371, epoch loss=0.207071
Epoch=19, step=24000, lr=0.100250, epoch loss=0.207071


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############***************************************..│
│********######*####*********************************###*###*#**********************************.....│
│*******######**##*************....*****************#*######*#*******************************........│
│*******##*##**##**********...........***************########*##****************************.........│
│*****#######************.......%...%%...***************#########*************************.........%.│
│******######**********..........%........***************##*#####************************......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│
│****#######**********..........%%%%.........************#########*********************.......%%.%%.%│
│**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│
│*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│
│*##*####***********............%%.%%%%%..........************####****************...........%%%%%%%.│
│*#####*#**********..............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│
│#####*#**********...............%%%%%%%..............********#######*********..............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######********...............%%%%%%...│
│#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│
│#****##********....................%%%%%%%%%................***###*#***...............%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%................***...............%%%%%%%.%.%.......│
│************............................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│**********....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:53.21 ---> saved as "868b00aaac9fe8a617b826552e08d396c7cc59743c5c446435af53ebb45aa497"
Job succeeded
2025-03-21 15:53.23: Job succeeded