opensuse-15.6-5.3_opam-2.3

2025-03-20 22:51.40: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (451f36eeac30ee583b682d08902494fd1a3a4f1b) (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 451f36ee
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


2025-03-20 22:51.40: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907-opensuse-15.6-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-20 22:51.40: 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"))
)


2025-03-20 22:51.40: Waiting for resource in pool OCluster
2025-03-20 22:51.40: Waiting for worker…
2025-03-20 22:52.14: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at 451f36ee Add new configuration options for diffing runs debug settings


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
2025-03-20 22:52.15 ---> 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"))
2025-03-20 22:52.15 ---> 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.


Continue? [y/n] y
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.


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
2025-03-20 22:52.15 ---> 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
2025-03-20 22:52.15 ---> using "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-20 22:52.15 ---> using "3336fd0a8b7aa274901f66563ebf4bbae201df957a49f9776cc6d20c7be356cc" from cache


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


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[opam-repository-archive] synchronised from git+https://github.com/ocaml/opam-repository-archive
[default] synchronised from file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:52.15 ---> using "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-20 22:52.15 ---> 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)
2025-03-20 22:52.15 ---> using "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-20 22:52.15 ---> 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]
- 
- Checking for file conflicts: [..
- done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done]
2025-03-20 22:52.15 ---> using "a4a8b70afc2e1326b01fe86fdc48e5f6293744c067d363eeb9a6b275a2fb3303" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 65 packages
- install angstrom                0.16.1
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.17.2
- install dune-configurator       3.17.2
- install fieldslib               v0.17.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.1.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved 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_derivers.1.2.1  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (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 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 printbox.0.12
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_compare.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-20 22:52.15 ---> using "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05" from cache


/src: (copy (src .) (dst /src))
2025-03-20 22:52.16 ---> saved as "1cb26a2acd707d152d0c43b4d08c80ceef2bd728bb6bb247eb5b33b2f494a71d"


/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/97c01998f452833f2a38eb20d579b10e/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/fe68c9cd64bc6da75f215dc2707b0600/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/97c01998f452833f2a38eb20d579b10e/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/97c01998f452833f2a38eb20d579b10e/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=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199500, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.199000, batch loss=1.446818, epoch loss=37.063303
Batch=359, step=360, lr=0.198750, batch loss=1.336884, epoch loss=38.400187
Batch=419, step=420, lr=0.198250, batch loss=0.614503, epoch loss=39.014690
Batch=479, step=480, lr=0.198250, batch loss=0.794061, epoch loss=39.808751
Batch=539, step=540, lr=0.198000, batch loss=0.654492, epoch loss=40.463243
Batch=599, step=600, lr=0.197750, batch loss=1.082398, epoch loss=41.545641
Batch=659, step=660, lr=0.197500, batch loss=0.482974, epoch loss=42.028616
Batch=719, step=720, lr=0.197250, batch loss=0.412300, epoch loss=42.440915
Batch=779, step=780, lr=0.197000, batch loss=0.470767, epoch loss=42.911682
Batch=839, step=840, lr=0.196500, batch loss=0.445126, epoch loss=43.356808
Batch=899, step=900, lr=0.196500, batch loss=0.386131, epoch loss=43.742939
Batch=959, step=960, lr=0.196250, batch loss=0.243748, epoch loss=43.986687
Batch=1019, step=1020, lr=0.196000, batch loss=0.446017, epoch loss=44.432704
Batch=1079, step=1080, lr=0.195750, batch loss=0.250558, epoch loss=44.683262
Batch=1139, step=1140, lr=0.195500, batch loss=0.333589, epoch loss=45.016851
Batch=1199, step=1200, lr=0.195250, batch loss=0.264294, epoch loss=45.281145
Epoch=0, step=1200, lr=0.195250, epoch loss=45.281145
Batch=59, step=1260, lr=0.195000, batch loss=0.263384, epoch loss=0.263384
Batch=119, step=1320, lr=0.194750, batch loss=0.205248, epoch loss=0.468632
Batch=179, step=1380, lr=0.194500, batch loss=0.244427, epoch loss=0.713059
Batch=239, step=1440, lr=0.194250, batch loss=0.348092, epoch loss=1.061151
Batch=299, step=1500, lr=0.194000, batch loss=0.239877, epoch loss=1.301027
Batch=359, step=1560, lr=0.193750, batch loss=0.312767, epoch loss=1.613794
Batch=419, step=1620, lr=0.193250, batch loss=0.312262, epoch loss=1.926056
Batch=479, step=1680, lr=0.193250, batch loss=0.279479, epoch loss=2.205535
Batch=539, step=1740, lr=0.193000, batch loss=0.214628, epoch loss=2.420163
Batch=599, step=1800, lr=0.192750, batch loss=0.260312, epoch loss=2.680475
Batch=659, step=1860, lr=0.192500, batch loss=0.380118, epoch loss=3.060592
Batch=719, step=1920, lr=0.192250, batch loss=0.357828, epoch loss=3.418420
Batch=779, step=1980, lr=0.192000, batch loss=0.385207, epoch loss=3.803627
Batch=839, step=2040, lr=0.191500, batch loss=0.341947, epoch loss=4.145574
Batch=899, step=2100, lr=0.191500, batch loss=0.295771, epoch loss=4.441345
Batch=959, step=2160, lr=0.191250, batch loss=0.214314, epoch loss=4.655658
Batch=1019, step=2220, lr=0.191000, batch loss=0.333551, epoch loss=4.989210
Batch=1079, step=2280, lr=0.190750, batch loss=0.192935, epoch loss=5.182145
Batch=1139, step=2340, lr=0.190500, batch loss=0.257515, epoch loss=5.439660
Batch=1199, step=2400, lr=0.190250, batch loss=0.211295, epoch loss=5.650955
Epoch=1, step=2400, lr=0.190250, epoch loss=5.650955
Batch=59, step=2460, lr=0.190000, batch loss=0.229619, epoch loss=0.229619
Batch=119, step=2520, lr=0.189750, batch loss=0.199591, epoch loss=0.429210
Batch=179, step=2580, lr=0.189500, batch loss=0.220009, epoch loss=0.649219
Batch=239, step=2640, lr=0.189250, batch loss=0.329212, epoch loss=0.978431
Batch=299, step=2700, lr=0.189000, batch loss=0.221550, epoch loss=1.199980
Batch=359, step=2760, lr=0.188750, batch loss=0.300842, epoch loss=1.500822
Batch=419, step=2820, lr=0.188500, batch loss=0.291536, epoch loss=1.792358
Batch=479, step=2880, lr=0.188250, batch loss=0.266064, epoch loss=2.058422
Batch=539, step=2940, lr=0.187750, batch loss=0.208700, epoch loss=2.267123
Batch=599, step=3000, lr=0.187500, batch loss=0.257732, epoch loss=2.524855
Batch=659, step=3060, lr=0.187250, batch loss=0.360340, epoch loss=2.885195
Batch=719, step=3120, lr=0.187000, batch loss=0.359625, epoch loss=3.244820
Batch=779, step=3180, lr=0.186750, batch loss=0.361246, epoch loss=3.606065
Batch=839, step=3240, lr=0.186750, batch loss=0.330172, epoch loss=3.936237
Batch=899, step=3300, lr=0.186500, batch loss=0.298632, epoch loss=4.234869
Batch=959, step=3360, lr=0.186000, batch loss=0.239768, epoch loss=4.474637
Batch=1019, step=3420, lr=0.186000, batch loss=0.370597, epoch loss=4.845233
Batch=1079, step=3480, lr=0.185750, batch loss=0.226406, epoch loss=5.071640
Batch=1139, step=3540, lr=0.185500, batch loss=0.261174, epoch loss=5.332814
Batch=1199, step=3600, lr=0.185250, batch loss=0.202183, epoch loss=5.534997
Epoch=2, step=3600, lr=0.185250, epoch loss=5.534997
Batch=59, step=3660, lr=0.184750, batch loss=0.228582, epoch loss=0.228582
Batch=119, step=3720, lr=0.184500, batch loss=0.189188, epoch loss=0.417770
Batch=179, step=3780, lr=0.184500, batch loss=0.214296, epoch loss=0.632066
Batch=239, step=3840, lr=0.184000, batch loss=0.317935, epoch loss=0.950000
Batch=299, step=3900, lr=0.184000, batch loss=0.204669, epoch loss=1.154669
Batch=359, step=3960, lr=0.183500, batch loss=0.289581, epoch loss=1.444250
Batch=419, step=4020, lr=0.183250, batch loss=0.275437, epoch loss=1.719687
Batch=479, step=4080, lr=0.183250, batch loss=0.257113, epoch loss=1.976800
Batch=539, step=4140, lr=0.183000, batch loss=0.196537, epoch loss=2.173337
Batch=599, step=4200, lr=0.182500, batch loss=0.238607, epoch loss=2.411944
Batch=659, step=4260, lr=0.182500, batch loss=0.331934, epoch loss=2.743878
Batch=719, step=4320, lr=0.182000, batch loss=0.330698, epoch loss=3.074576
Batch=779, step=4380, lr=0.182000, batch loss=0.352753, epoch loss=3.427329
Batch=839, step=4440, lr=0.181500, batch loss=0.318304, epoch loss=3.745633
Batch=899, step=4500, lr=0.181250, batch loss=0.288571, epoch loss=4.034204
Batch=959, step=4560, lr=0.181000, batch loss=0.237559, epoch loss=4.271764
Batch=1019, step=4620, lr=0.181000, batch loss=0.333711, epoch loss=4.605475
Batch=1079, step=4680, lr=0.180750, batch loss=0.191516, epoch loss=4.796991
Batch=1139, step=4740, lr=0.180250, batch loss=0.225981, epoch loss=5.022972
Batch=1199, step=4800, lr=0.180000, batch loss=0.192972, epoch loss=5.215945
Epoch=3, step=4800, lr=0.180000, epoch loss=5.215945
Batch=59, step=4860, lr=0.179750, batch loss=0.234920, epoch loss=0.234920
Batch=119, step=4920, lr=0.179500, batch loss=0.191985, epoch loss=0.426905
Batch=179, step=4980, lr=0.179250, batch loss=0.207382, epoch loss=0.634287
Batch=239, step=5040, lr=0.179000, batch loss=0.308574, epoch loss=0.942861
Batch=299, step=5100, lr=0.178750, batch loss=0.197871, epoch loss=1.140732
Batch=359, step=5160, lr=0.178750, batch loss=0.275661, epoch loss=1.416393
Batch=419, step=5220, lr=0.178500, batch loss=0.265759, epoch loss=1.682152
Batch=479, step=5280, lr=0.178250, batch loss=0.241181, epoch loss=1.923333
Batch=539, step=5340, lr=0.178000, batch loss=0.190976, epoch loss=2.114309
Batch=599, step=5400, lr=0.177750, batch loss=0.229473, epoch loss=2.343782
Batch=659, step=5460, lr=0.177500, batch loss=0.325472, epoch loss=2.669255
Batch=719, step=5520, lr=0.177250, batch loss=0.322082, epoch loss=2.991336
Batch=779, step=5580, lr=0.176750, batch loss=0.345609, epoch loss=3.336946
Batch=839, step=5640, lr=0.176500, batch loss=0.310317, epoch loss=3.647263
Batch=899, step=5700, lr=0.176250, batch loss=0.272882, epoch loss=3.920144
Batch=959, step=5760, lr=0.176250, batch loss=0.216688, epoch loss=4.136832
Batch=1019, step=5820, lr=0.175750, batch loss=0.334729, epoch loss=4.471561
Batch=1079, step=5880, lr=0.175500, batch loss=0.189654, epoch loss=4.661214
Batch=1139, step=5940, lr=0.175250, batch loss=0.224184, epoch loss=4.885398
Batch=1199, step=6000, lr=0.175250, batch loss=0.190113, epoch loss=5.075511
Epoch=4, step=6000, lr=0.175250, epoch loss=5.075511
Batch=59, step=6060, lr=0.174750, batch loss=0.233784, epoch loss=0.233784
Batch=119, step=6120, lr=0.174750, batch loss=0.192113, epoch loss=0.425897
Batch=179, step=6180, lr=0.174500, batch loss=0.202519, epoch loss=0.628416
Batch=239, step=6240, lr=0.174250, batch loss=0.300711, epoch loss=0.929127
Batch=299, step=6300, lr=0.173750, batch loss=0.205849, epoch loss=1.134976
Batch=359, step=6360, lr=0.173500, batch loss=0.266525, epoch loss=1.401502
Batch=419, step=6420, lr=0.173500, batch loss=0.258793, epoch loss=1.660294
Batch=479, step=6480, lr=0.173000, batch loss=0.233426, epoch loss=1.893720
Batch=539, step=6540, lr=0.173000, batch loss=0.189543, epoch loss=2.083263
Batch=599, step=6600, lr=0.172750, batch loss=0.226092, epoch loss=2.309356
Batch=659, step=6660, lr=0.172250, batch loss=0.317649, epoch loss=2.627004
Batch=719, step=6720, lr=0.172250, batch loss=0.314293, epoch loss=2.941297
Batch=779, step=6780, lr=0.171750, batch loss=0.333614, epoch loss=3.274911
Batch=839, step=6840, lr=0.171750, batch loss=0.304343, epoch loss=3.579255
Batch=899, step=6900, lr=0.171500, batch loss=0.268187, epoch loss=3.847442
Batch=959, step=6960, lr=0.171250, batch loss=0.209858, epoch loss=4.057300
Batch=1019, step=7020, lr=0.171000, batch loss=0.334698, epoch loss=4.391997
Batch=1079, step=7080, lr=0.170750, batch loss=0.192662, epoch loss=4.584659
Batch=1139, step=7140, lr=0.170500, batch loss=0.227216, epoch loss=4.811875
Batch=1199, step=7200, lr=0.170000, batch loss=0.180662, epoch loss=4.992537
Epoch=5, step=7200, lr=0.170000, epoch loss=4.992537
Batch=59, step=7260, lr=0.170000, batch loss=0.216448, epoch loss=0.216448
Batch=119, step=7320, lr=0.169750, batch loss=0.181847, epoch loss=0.398294
Batch=179, step=7380, lr=0.169250, batch loss=0.196999, epoch loss=0.595293
Batch=239, step=7440, lr=0.169250, batch loss=0.293635, epoch loss=0.888929
Batch=299, step=7500, lr=0.168750, batch loss=0.200461, epoch loss=1.089390
Batch=359, step=7560, lr=0.168750, batch loss=0.260071, epoch loss=1.349460
Batch=419, step=7620, lr=0.168250, batch loss=0.257244, epoch loss=1.606704
Batch=479, step=7680, lr=0.168250, batch loss=0.237697, epoch loss=1.844402
Batch=539, step=7740, lr=0.167750, batch loss=0.187962, epoch loss=2.032364
Batch=599, step=7800, lr=0.167750, batch loss=0.223387, epoch loss=2.255751
Batch=659, step=7860, lr=0.167250, batch loss=0.308438, epoch loss=2.564189
Batch=719, step=7920, lr=0.167250, batch loss=0.309543, epoch loss=2.873732
Batch=779, step=7980, lr=0.167000, batch loss=0.328573, epoch loss=3.202305
Batch=839, step=8040, lr=0.166750, batch loss=0.294845, epoch loss=3.497150
Batch=899, step=8100, lr=0.166250, batch loss=0.263901, epoch loss=3.761051
Batch=959, step=8160, lr=0.166250, batch loss=0.199821, epoch loss=3.960871
Batch=1019, step=8220, lr=0.165750, batch loss=0.323034, epoch loss=4.283906
Batch=1079, step=8280, lr=0.165500, batch loss=0.178511, epoch loss=4.462417
Batch=1139, step=8340, lr=0.165250, batch loss=0.209072, epoch loss=4.671488
Batch=1199, step=8400, lr=0.165000, batch loss=0.181349, epoch loss=4.852838
Epoch=6, step=8400, lr=0.165000, epoch loss=4.852838
Batch=59, step=8460, lr=0.164750, batch loss=0.225440, epoch loss=0.225440
Batch=119, step=8520, lr=0.164500, batch loss=0.178211, epoch loss=0.403651
Batch=179, step=8580, lr=0.164250, batch loss=0.190053, epoch loss=0.593703
Batch=239, step=8640, lr=0.164250, batch loss=0.279248, epoch loss=0.872951
Batch=299, step=8700, lr=0.164000, batch loss=0.193087, epoch loss=1.066038
Batch=359, step=8760, lr=0.163500, batch loss=0.249674, epoch loss=1.315713
Batch=419, step=8820, lr=0.163500, batch loss=0.248404, epoch loss=1.564117
Batch=479, step=8880, lr=0.163000, batch loss=0.229100, epoch loss=1.793217
Batch=539, step=8940, lr=0.163000, batch loss=0.180687, epoch loss=1.973905
Batch=599, step=9000, lr=0.162750, batch loss=0.217714, epoch loss=2.191619
Batch=659, step=9060, lr=0.162250, batch loss=0.298077, epoch loss=2.489695
Batch=719, step=9120, lr=0.162000, batch loss=0.297062, epoch loss=2.786758
Batch=779, step=9180, lr=0.161750, batch loss=0.319672, epoch loss=3.106429
Batch=839, step=9240, lr=0.161500, batch loss=0.288420, epoch loss=3.394850
Batch=899, step=9300, lr=0.161500, batch loss=0.253454, epoch loss=3.648304
Batch=959, step=9360, lr=0.161000, batch loss=0.188673, epoch loss=3.836977
Batch=1019, step=9420, lr=0.160750, batch loss=0.319737, epoch loss=4.156713
Batch=1079, step=9480, lr=0.160750, batch loss=0.185318, epoch loss=4.342031
Batch=1139, step=9540, lr=0.160500, batch loss=0.214696, epoch loss=4.556727
Batch=1199, step=9600, lr=0.160250, batch loss=0.168681, epoch loss=4.725408
Epoch=7, step=9600, lr=0.160250, epoch loss=4.725408
Batch=59, step=9660, lr=0.159750, batch loss=0.212570, epoch loss=0.212570
Batch=119, step=9720, lr=0.159500, batch loss=0.171428, epoch loss=0.383998
Batch=179, step=9780, lr=0.159250, batch loss=0.181162, epoch loss=0.565159
Batch=239, step=9840, lr=0.159250, batch loss=0.263812, epoch loss=0.828972
Batch=299, step=9900, lr=0.159000, batch loss=0.188652, epoch loss=1.017624
Batch=359, step=9960, lr=0.158750, batch loss=0.241160, epoch loss=1.258783
Batch=419, step=10020, lr=0.158500, batch loss=0.235646, epoch loss=1.494429
Batch=479, step=10080, lr=0.158000, batch loss=0.222632, epoch loss=1.717061
Batch=539, step=10140, lr=0.157750, batch loss=0.170337, epoch loss=1.887399
Batch=599, step=10200, lr=0.157750, batch loss=0.205329, epoch loss=2.092728
Batch=659, step=10260, lr=0.157250, batch loss=0.283341, epoch loss=2.376068
Batch=719, step=10320, lr=0.157000, batch loss=0.283409, epoch loss=2.659478
Batch=779, step=10380, lr=0.157000, batch loss=0.300610, epoch loss=2.960088
Batch=839, step=10440, lr=0.156750, batch loss=0.275050, epoch loss=3.235137
Batch=899, step=10500, lr=0.156250, batch loss=0.240022, epoch loss=3.475159
Batch=959, step=10560, lr=0.156000, batch loss=0.202410, epoch loss=3.677569
Batch=1019, step=10620, lr=0.156000, batch loss=0.280871, epoch loss=3.958440
Batch=1079, step=10680, lr=0.155500, batch loss=0.155888, epoch loss=4.114328
Batch=1139, step=10740, lr=0.155250, batch loss=0.187557, epoch loss=4.301885
Batch=1199, step=10800, lr=0.155000, batch loss=0.156628, epoch loss=4.458513
Epoch=8, step=10800, lr=0.155000, epoch loss=4.458513
Batch=59, step=10860, lr=0.154750, batch loss=0.194487, epoch loss=0.194487
Batch=119, step=10920, lr=0.154750, batch loss=0.165326, epoch loss=0.359812
Batch=179, step=10980, lr=0.154500, batch loss=0.169420, epoch loss=0.529233
Batch=239, step=11040, lr=0.154250, batch loss=0.247053, epoch loss=0.776286
Batch=299, step=11100, lr=0.154000, batch loss=0.168676, epoch loss=0.944962
Batch=359, step=11160, lr=0.153750, batch loss=0.226191, epoch loss=1.171154
Batch=419, step=11220, lr=0.153500, batch loss=0.231002, epoch loss=1.402156
Batch=479, step=11280, lr=0.153250, batch loss=0.206209, epoch loss=1.608365
Batch=539, step=11340, lr=0.153000, batch loss=0.160835, epoch loss=1.769200
Batch=599, step=11400, lr=0.152750, batch loss=0.187339, epoch loss=1.956539
Batch=659, step=11460, lr=0.152250, batch loss=0.267911, epoch loss=2.224450
Batch=719, step=11520, lr=0.152250, batch loss=0.261164, epoch loss=2.485614
Batch=779, step=11580, lr=0.152000, batch loss=0.274749, epoch loss=2.760363
Batch=839, step=11640, lr=0.151750, batch loss=0.253441, epoch loss=3.013803
Batch=899, step=11700, lr=0.151500, batch loss=0.220741, epoch loss=3.234545
Batch=959, step=11760, lr=0.151000, batch loss=0.187143, epoch loss=3.421687
Batch=1019, step=11820, lr=0.151000, batch loss=0.276250, epoch loss=3.697937
Batch=1079, step=11880, lr=0.150750, batch loss=0.154337, epoch loss=3.852275
Batch=1139, step=11940, lr=0.150250, batch loss=0.189332, epoch loss=4.041607
Batch=1199, step=12000, lr=0.150250, batch loss=0.141929, epoch loss=4.183536
Epoch=9, step=12000, lr=0.150250, epoch loss=4.183536
Batch=59, step=12060, lr=0.150000, batch loss=0.160864, epoch loss=0.160864
Batch=119, step=12120, lr=0.149500, batch loss=0.129607, epoch loss=0.290471
Batch=179, step=12180, lr=0.149500, batch loss=0.153922, epoch loss=0.444393
Batch=239, step=12240, lr=0.149250, batch loss=0.227326, epoch loss=0.671719
Batch=299, step=12300, lr=0.149000, batch loss=0.149015, epoch loss=0.820734
Batch=359, step=12360, lr=0.148500, batch loss=0.198387, epoch loss=1.019121
Batch=419, step=12420, lr=0.148250, batch loss=0.209213, epoch loss=1.228334
Batch=479, step=12480, lr=0.148250, batch loss=0.183867, epoch loss=1.412201
Batch=539, step=12540, lr=0.147750, batch loss=0.145152, epoch loss=1.557353
Batch=599, step=12600, lr=0.147500, batch loss=0.160161, epoch loss=1.717514
Batch=659, step=12660, lr=0.147250, batch loss=0.245175, epoch loss=1.962689
Batch=719, step=12720, lr=0.147250, batch loss=0.231897, epoch loss=2.194586
Batch=779, step=12780, lr=0.147000, batch loss=0.240005, epoch loss=2.434591
Batch=839, step=12840, lr=0.146500, batch loss=0.236751, epoch loss=2.671342
Batch=899, step=12900, lr=0.146500, batch loss=0.227854, epoch loss=2.899195
Batch=959, step=12960, lr=0.146000, batch loss=0.151413, epoch loss=3.050608
Batch=1019, step=13020, lr=0.146000, batch loss=0.258836, epoch loss=3.309444
Batch=1079, step=13080, lr=0.145750, batch loss=0.120738, epoch loss=3.430182
Batch=1139, step=13140, lr=0.145500, batch loss=0.155539, epoch loss=3.585721
Batch=1199, step=13200, lr=0.145250, batch loss=0.121302, epoch loss=3.707023
Epoch=10, step=13200, lr=0.145250, epoch loss=3.707023
Batch=59, step=13260, lr=0.145000, batch loss=0.149289, epoch loss=0.149289
Batch=119, step=13320, lr=0.144750, batch loss=0.127611, epoch loss=0.276901
Batch=179, step=13380, lr=0.144500, batch loss=0.134268, epoch loss=0.411169
Batch=239, step=13440, lr=0.144250, batch loss=0.196588, epoch loss=0.607756
Batch=299, step=13500, lr=0.144000, batch loss=0.125490, epoch loss=0.733246
Batch=359, step=13560, lr=0.143750, batch loss=0.168272, epoch loss=0.901518
Batch=419, step=13620, lr=0.143500, batch loss=0.163778, epoch loss=1.065296
Batch=479, step=13680, lr=0.143250, batch loss=0.153277, epoch loss=1.218572
Batch=539, step=13740, lr=0.143000, batch loss=0.122412, epoch loss=1.340984
Batch=599, step=13800, lr=0.142750, batch loss=0.125372, epoch loss=1.466356
Batch=659, step=13860, lr=0.142250, batch loss=0.184176, epoch loss=1.650532
Batch=719, step=13920, lr=0.142000, batch loss=0.180705, epoch loss=1.831237
Batch=779, step=13980, lr=0.142000, batch loss=0.208913, epoch loss=2.040150
Batch=839, step=14040, lr=0.141750, batch loss=0.205953, epoch loss=2.246103
Batch=899, step=14100, lr=0.141500, batch loss=0.214609, epoch loss=2.460711
Batch=959, step=14160, lr=0.141250, batch loss=0.116708, epoch loss=2.577419
Batch=1019, step=14220, lr=0.140750, batch loss=0.194510, epoch loss=2.771929
Batch=1079, step=14280, lr=0.140750, batch loss=0.086830, epoch loss=2.858759
Batch=1139, step=14340, lr=0.140250, batch loss=0.130163, epoch loss=2.988921
Batch=1199, step=14400, lr=0.140000, batch loss=0.091420, epoch loss=3.080341
Epoch=11, step=14400, lr=0.140000, epoch loss=3.080341
Batch=59, step=14460, lr=0.140000, batch loss=0.116586, epoch loss=0.116586
Batch=119, step=14520, lr=0.139500, batch loss=0.113626, epoch loss=0.230212
Batch=179, step=14580, lr=0.139500, batch loss=0.108205, epoch loss=0.338417
Batch=239, step=14640, lr=0.139250, batch loss=0.148390, epoch loss=0.486807
Batch=299, step=14700, lr=0.139000, batch loss=0.086377, epoch loss=0.573185
Batch=359, step=14760, lr=0.138750, batch loss=0.128417, epoch loss=0.701602
Batch=419, step=14820, lr=0.138500, batch loss=0.129483, epoch loss=0.831086
Batch=479, step=14880, lr=0.138250, batch loss=0.116743, epoch loss=0.947828
Batch=539, step=14940, lr=0.138000, batch loss=0.114183, epoch loss=1.062011
Batch=599, step=15000, lr=0.137750, batch loss=0.090284, epoch loss=1.152295
Batch=659, step=15060, lr=0.137500, batch loss=0.135702, epoch loss=1.287997
Batch=719, step=15120, lr=0.137000, batch loss=0.138043, epoch loss=1.426040
Batch=779, step=15180, lr=0.137000, batch loss=0.152945, epoch loss=1.578985
Batch=839, step=15240, lr=0.136750, batch loss=0.184446, epoch loss=1.763430
Batch=899, step=15300, lr=0.136500, batch loss=0.292378, epoch loss=2.055809
Batch=959, step=15360, lr=0.136250, batch loss=0.068105, epoch loss=2.123913
Batch=1019, step=15420, lr=0.136000, batch loss=0.142666, epoch loss=2.266579
Batch=1079, step=15480, lr=0.135750, batch loss=0.046595, epoch loss=2.313174
Batch=1139, step=15540, lr=0.135500, batch loss=0.099525, epoch loss=2.412699
Batch=1199, step=15600, lr=0.135250, batch loss=0.064995, epoch loss=2.477694
Epoch=12, step=15600, lr=0.135250, epoch loss=2.477694
Batch=59, step=15660, lr=0.135000, batch loss=0.094447, epoch loss=0.094447
Batch=119, step=15720, lr=0.134750, batch loss=0.137556, epoch loss=0.232004
Batch=179, step=15780, lr=0.134500, batch loss=0.104241, epoch loss=0.336245
Batch=239, step=15840, lr=0.134000, batch loss=0.107663, epoch loss=0.443908
Batch=299, step=15900, lr=0.133750, batch loss=0.048445, epoch loss=0.492353
Batch=359, step=15960, lr=0.133750, batch loss=0.089105, epoch loss=0.581458
Batch=419, step=16020, lr=0.133500, batch loss=0.085017, epoch loss=0.666475
Batch=479, step=16080, lr=0.133000, batch loss=0.068459, epoch loss=0.734935
Batch=539, step=16140, lr=0.133000, batch loss=0.060664, epoch loss=0.795599
Batch=599, step=16200, lr=0.132750, batch loss=0.137477, epoch loss=0.933075
Batch=659, step=16260, lr=0.132500, batch loss=0.091943, epoch loss=1.025018
Batch=719, step=16320, lr=0.132250, batch loss=0.142053, epoch loss=1.167071
Batch=779, step=16380, lr=0.132000, batch loss=0.328047, epoch loss=1.495118
Batch=839, step=16440, lr=0.131500, batch loss=0.103109, epoch loss=1.598227
Batch=899, step=16500, lr=0.131250, batch loss=0.099068, epoch loss=1.697295
Batch=959, step=16560, lr=0.131250, batch loss=0.041172, epoch loss=1.738467
Batch=1019, step=16620, lr=0.131000, batch loss=0.060084, epoch loss=1.798551
Batch=1079, step=16680, lr=0.130750, batch loss=0.067960, epoch loss=1.866512
Batch=1139, step=16740, lr=0.130500, batch loss=0.114850, epoch loss=1.981362
Batch=1199, step=16800, lr=0.130000, batch loss=0.060028, epoch loss=2.041391
Epoch=13, step=16800, lr=0.130000, epoch loss=2.041391
Batch=59, step=16860, lr=0.129750, batch loss=0.039995, epoch loss=0.039995
Batch=119, step=16920, lr=0.129750, batch loss=0.040273, epoch loss=0.080268
Batch=179, step=16980, lr=0.129250, batch loss=0.048949, epoch loss=0.129216
Batch=239, step=17040, lr=0.129000, batch loss=0.066814, epoch loss=0.196031
Batch=299, step=17100, lr=0.128750, batch loss=0.023708, epoch loss=0.219739
Batch=359, step=17160, lr=0.128500, batch loss=0.048370, epoch loss=0.268109
Batch=419, step=17220, lr=0.128250, batch loss=0.067023, epoch loss=0.335132
Batch=479, step=17280, lr=0.128000, batch loss=0.026816, epoch loss=0.361947
Batch=539, step=17340, lr=0.128000, batch loss=0.031407, epoch loss=0.393355
Batch=599, step=17400, lr=0.127750, batch loss=0.037799, epoch loss=0.431154
Batch=659, step=17460, lr=0.127250, batch loss=0.050719, epoch loss=0.481873
Batch=719, step=17520, lr=0.127250, batch loss=0.051967, epoch loss=0.533840
Batch=779, step=17580, lr=0.126750, batch loss=0.077978, epoch loss=0.611818
Batch=839, step=17640, lr=0.126500, batch loss=0.092277, epoch loss=0.704095
Batch=899, step=17700, lr=0.126500, batch loss=0.123146, epoch loss=0.827240
Batch=959, step=17760, lr=0.126250, batch loss=0.034967, epoch loss=0.862208
Batch=1019, step=17820, lr=0.126000, batch loss=0.078354, epoch loss=0.940562
Batch=1079, step=17880, lr=0.125500, batch loss=0.025021, epoch loss=0.965583
Batch=1139, step=17940, lr=0.125250, batch loss=0.053533, epoch loss=1.019117
Batch=1199, step=18000, lr=0.125000, batch loss=0.025422, epoch loss=1.044538
Epoch=14, step=18000, lr=0.125000, epoch loss=1.044538
Batch=59, step=18060, lr=0.125000, batch loss=0.017196, epoch loss=0.017196
Batch=119, step=18120, lr=0.124750, batch loss=0.022616, epoch loss=0.039813
Batch=179, step=18180, lr=0.124500, batch loss=0.031693, epoch loss=0.071506
Batch=239, step=18240, lr=0.124250, batch loss=0.038323, epoch loss=0.109828
Batch=299, step=18300, lr=0.124000, batch loss=0.009980, epoch loss=0.119808
Batch=359, step=18360, lr=0.123750, batch loss=0.028182, epoch loss=0.147991
Batch=419, step=18420, lr=0.123500, batch loss=0.034174, epoch loss=0.182165
Batch=479, step=18480, lr=0.123000, batch loss=0.019982, epoch loss=0.202146
Batch=539, step=18540, lr=0.122750, batch loss=0.029769, epoch loss=0.231915
Batch=599, step=18600, lr=0.122500, batch loss=0.026243, epoch loss=0.258158
Batch=659, step=18660, lr=0.122500, batch loss=0.033771, epoch loss=0.291930
Batch=719, step=18720, lr=0.122000, batch loss=0.037155, epoch loss=0.329085
Batch=779, step=18780, lr=0.122000, batch loss=0.096469, epoch loss=0.425554
Batch=839, step=18840, lr=0.121500, batch loss=0.083548, epoch loss=0.509101
Batch=899, step=18900, lr=0.121500, batch loss=0.121681, epoch loss=0.630782
Batch=959, step=18960, lr=0.121250, batch loss=0.015953, epoch loss=0.646735
Batch=1019, step=19020, lr=0.121000, batch loss=0.019792, epoch loss=0.666527
Batch=1079, step=19080, lr=0.120750, batch loss=0.004652, epoch loss=0.671179
Batch=1139, step=19140, lr=0.120500, batch loss=0.026097, epoch loss=0.697276
Batch=1199, step=19200, lr=0.120250, batch loss=0.011191, epoch loss=0.708468
Epoch=15, step=19200, lr=0.120250, epoch loss=0.708468
Batch=59, step=19260, lr=0.120000, batch loss=0.005668, epoch loss=0.005668
Batch=119, step=19320, lr=0.119750, batch loss=0.015466, epoch loss=0.021134
Batch=179, step=19380, lr=0.119500, batch loss=0.033581, epoch loss=0.054714
Batch=239, step=19440, lr=0.119000, batch loss=0.023425, epoch loss=0.078139
Batch=299, step=19500, lr=0.119000, batch loss=0.006548, epoch loss=0.084687
Batch=359, step=19560, lr=0.118500, batch loss=0.017807, epoch loss=0.102494
Batch=419, step=19620, lr=0.118500, batch loss=0.020947, epoch loss=0.123441
Batch=479, step=19680, lr=0.118250, batch loss=0.007777, epoch loss=0.131217
Batch=539, step=19740, lr=0.118000, batch loss=0.017523, epoch loss=0.148741
Batch=599, step=19800, lr=0.117750, batch loss=0.024754, epoch loss=0.173494
Batch=659, step=19860, lr=0.117250, batch loss=0.021360, epoch loss=0.194854
Batch=719, step=19920, lr=0.117250, batch loss=0.055272, epoch loss=0.250126
Batch=779, step=19980, lr=0.117000, batch loss=0.083818, epoch loss=0.333944
Batch=839, step=20040, lr=0.116750, batch loss=0.032166, epoch loss=0.366109
Batch=899, step=20100, lr=0.116250, batch loss=0.030626, epoch loss=0.396736
Batch=959, step=20160, lr=0.116000, batch loss=0.013593, epoch loss=0.410329
Batch=1019, step=20220, lr=0.115750, batch loss=0.015064, epoch loss=0.425393
Batch=1079, step=20280, lr=0.115750, batch loss=0.003117, epoch loss=0.428510
Batch=1139, step=20340, lr=0.115500, batch loss=0.017093, epoch loss=0.445603
Batch=1199, step=20400, lr=0.115000, batch loss=0.006145, epoch loss=0.451748
Epoch=16, step=20400, lr=0.115000, epoch loss=0.451748
Batch=59, step=20460, lr=0.114750, batch loss=0.002929, epoch loss=0.002929
Batch=119, step=20520, lr=0.114750, batch loss=0.012580, epoch loss=0.015509
Batch=179, step=20580, lr=0.114250, batch loss=0.024707, epoch loss=0.040216
Batch=239, step=20640, lr=0.114000, batch loss=0.017652, epoch loss=0.057868
Batch=299, step=20700, lr=0.113750, batch loss=0.009445, epoch loss=0.067313
Batch=359, step=20760, lr=0.113750, batch loss=0.013726, epoch loss=0.081039
Batch=419, step=20820, lr=0.113500, batch loss=0.016878, epoch loss=0.097916
Batch=479, step=20880, lr=0.113000, batch loss=0.004536, epoch loss=0.102452
Batch=539, step=20940, lr=0.113000, batch loss=0.015487, epoch loss=0.117939
Batch=599, step=21000, lr=0.112750, batch loss=0.020125, epoch loss=0.138065
Batch=659, step=21060, lr=0.112250, batch loss=0.015272, epoch loss=0.153337
Batch=719, step=21120, lr=0.112000, batch loss=0.044297, epoch loss=0.197634
Batch=779, step=21180, lr=0.112000, batch loss=0.075321, epoch loss=0.272955
Batch=839, step=21240, lr=0.111750, batch loss=0.027000, epoch loss=0.299955
Batch=899, step=21300, lr=0.111500, batch loss=0.036725, epoch loss=0.336680
Batch=959, step=21360, lr=0.111250, batch loss=0.011041, epoch loss=0.347721
Batch=1019, step=21420, lr=0.111000, batch loss=0.011768, epoch loss=0.359489
Batch=1079, step=21480, lr=0.110750, batch loss=0.002439, epoch loss=0.361927
Batch=1139, step=21540, lr=0.110500, batch loss=0.012427, epoch loss=0.374355
Batch=1199, step=21600, lr=0.110000, batch loss=0.005671, epoch loss=0.380026
Epoch=17, step=21600, lr=0.110000, epoch loss=0.380026
Batch=59, step=21660, lr=0.110000, batch loss=0.002796, epoch loss=0.002796
Batch=119, step=21720, lr=0.109750, batch loss=0.007057, epoch loss=0.009853
Batch=179, step=21780, lr=0.109500, batch loss=0.012663, epoch loss=0.022517
Batch=239, step=21840, lr=0.109250, batch loss=0.009851, epoch loss=0.032368
Batch=299, step=21900, lr=0.109000, batch loss=0.007398, epoch loss=0.039766
Batch=359, step=21960, lr=0.108750, batch loss=0.016427, epoch loss=0.056193
Batch=419, step=22020, lr=0.108500, batch loss=0.013062, epoch loss=0.069255
Batch=479, step=22080, lr=0.108250, batch loss=0.002697, epoch loss=0.071952
Batch=539, step=22140, lr=0.107750, batch loss=0.017731, epoch loss=0.089683
Batch=599, step=22200, lr=0.107500, batch loss=0.016405, epoch loss=0.106088
Batch=659, step=22260, lr=0.107500, batch loss=0.012541, epoch loss=0.118629
Batch=719, step=22320, lr=0.107250, batch loss=0.024363, epoch loss=0.142992
Batch=779, step=22380, lr=0.107000, batch loss=0.047660, epoch loss=0.190652
Batch=839, step=22440, lr=0.106750, batch loss=0.021680, epoch loss=0.212331
Batch=899, step=22500, lr=0.106500, batch loss=0.022753, epoch loss=0.235085
Batch=959, step=22560, lr=0.106250, batch loss=0.010990, epoch loss=0.246074
Batch=1019, step=22620, lr=0.106000, batch loss=0.009999, epoch loss=0.256074
Batch=1079, step=22680, lr=0.105750, batch loss=0.000616, epoch loss=0.256690
Batch=1139, step=22740, lr=0.105500, batch loss=0.010496, epoch loss=0.267186
Batch=1199, step=22800, lr=0.105250, batch loss=0.004482, epoch loss=0.271668
Epoch=18, step=22800, lr=0.105250, epoch loss=0.271668
Batch=59, step=22860, lr=0.105000, batch loss=0.001708, epoch loss=0.001708
Batch=119, step=22920, lr=0.104750, batch loss=0.006199, epoch loss=0.007907
Batch=179, step=22980, lr=0.104500, batch loss=0.010404, epoch loss=0.018310
Batch=239, step=23040, lr=0.104250, batch loss=0.009158, epoch loss=0.027468
Batch=299, step=23100, lr=0.103750, batch loss=0.007582, epoch loss=0.035050
Batch=359, step=23160, lr=0.103750, batch loss=0.013466, epoch loss=0.048517
Batch=419, step=23220, lr=0.103500, batch loss=0.011243, epoch loss=0.059759
Batch=479, step=23280, lr=0.103000, batch loss=0.002590, epoch loss=0.062349
Batch=539, step=23340, lr=0.103000, batch loss=0.016223, epoch loss=0.078572
Batch=599, step=23400, lr=0.102500, batch loss=0.014613, epoch loss=0.093186
Batch=659, step=23460, lr=0.102250, batch loss=0.011185, epoch loss=0.104371
Batch=719, step=23520, lr=0.102000, batch loss=0.012450, epoch loss=0.116820
Batch=779, step=23580, lr=0.101750, batch loss=0.017923, epoch loss=0.134743
Batch=839, step=23640, lr=0.101500, batch loss=0.027300, epoch loss=0.162043
Batch=899, step=23700, lr=0.101250, batch loss=0.022219, epoch loss=0.184262
Batch=959, step=23760, lr=0.101250, batch loss=0.011749, epoch loss=0.196012
Batch=1019, step=23820, lr=0.100750, batch loss=0.011684, epoch loss=0.207696
Batch=1079, step=23880, lr=0.100500, batch loss=0.001225, epoch loss=0.208920
Batch=1139, step=23940, lr=0.100500, batch loss=0.010006, epoch loss=0.218926
Batch=1199, step=24000, lr=0.100250, batch loss=0.004926, epoch loss=0.223852
Epoch=19, step=24000, lr=0.100250, epoch loss=0.223852


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-20 22:53.34 ---> saved as "7a71a7cc079f1f785c8a9b9a2f5a3cbaf41836761498c0e3252e56910b483a73"
Job succeeded
2025-03-20 22:53.35: Job succeeded