opensuse-15.6-5.3_opam-2.3

2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (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 8b6a6fac
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 14:48.49: 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 14:48.49: 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 14:48.49: Waiting for resource in pool OCluster
2025-03-21 14:48.50: Waiting for worker…
2025-03-21 14:50.08: Got resource from pool OCluster
Building on clete.caelum.ci.dev
All commits already cached
HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:03eed3183ced16e3bbc578545f87a5fc999109bedc4743538b9ff9563af70907)
2025-03-21 14:56.35 ---> 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 14:56.35 ---> 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 14:58.31 ---> 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 14:58.31 ---> saved as "59503f8b04c6e35ab7b00f105a136ae0ce66053ec9281c32268254d16b5cb3d4"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 14:58.32 ---> 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 15:00.18 ---> saved as "6c01ad4ba882899c394b1e823611bfadb3a659182c71b239fa45a13cb8940235"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 15:00.18 ---> 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 15:00.41 ---> saved as "deb43b2371e532ad7414ca188b199efb75a91f0069431d74f5f1b6b6223c7a2e"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 15:00.42 ---> 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 15:02.23 ---> 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 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_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.1.0  (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 saturn_lockfree.0.5.0  (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 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 sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed re.1.12.0
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed integers.0.7.0
-> installed ocaml-compiler-libs.v0.17.0
-> 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 base.v0.17.1
-> installed uucp.16.0.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed printbox-text.0.12
-> installed ctypes-foreign.0.23.0
-> 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_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_enumerate.v0.17.0
-> 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 15:05.39 ---> saved as "307cbec0a019b53ccea6a5b6391e330ad124ad07b18d08f007ef372432e04c05"


/src: (copy (src .) (dst /src))
2025-03-21 15:05.40 ---> saved as "e27e0380168c3a033b108a678e8a7e22ad1c840b5cb64c81735e647cf36f2a55"


/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/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/0ccf25c3d5d3903e0b37d5eb44260ce1/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/4a2bba22fc7c9737d88b1ba0efb5afaf/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/4a2bba22fc7c9737d88b1ba0efb5afaf/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=0.199500, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199250, batch loss=0.845226, epoch loss=35.615435
Batch=299, step=300, lr=0.199000, batch loss=1.458357, epoch loss=37.073792
Batch=359, step=360, lr=0.198500, batch loss=1.325710, epoch loss=38.399502
Batch=419, step=420, lr=0.198250, batch loss=0.621560, epoch loss=39.021062
Batch=479, step=480, lr=0.198250, batch loss=0.816880, epoch loss=39.837942
Batch=539, step=540, lr=0.198000, batch loss=0.699801, epoch loss=40.537742
Batch=599, step=600, lr=0.197750, batch loss=1.071803, epoch loss=41.609546
Batch=659, step=660, lr=0.197500, batch loss=0.483122, epoch loss=42.092668
Batch=719, step=720, lr=0.197250, batch loss=0.411572, epoch loss=42.504240
Batch=779, step=780, lr=0.197000, batch loss=0.469786, epoch loss=42.974026
Batch=839, step=840, lr=0.196750, batch loss=0.444691, epoch loss=43.418717
Batch=899, step=900, lr=0.196500, batch loss=0.383155, epoch loss=43.801872
Batch=959, step=960, lr=0.196250, batch loss=0.240717, epoch loss=44.042589
Batch=1019, step=1020, lr=0.196000, batch loss=0.438531, epoch loss=44.481120
Batch=1079, step=1080, lr=0.195750, batch loss=0.226640, epoch loss=44.707760
Batch=1139, step=1140, lr=0.195500, batch loss=0.314565, epoch loss=45.022325
Batch=1199, step=1200, lr=0.195250, batch loss=0.262568, epoch loss=45.284893
Epoch=0, step=1200, lr=0.195250, epoch loss=45.284893
Batch=59, step=1260, lr=0.195000, batch loss=0.262152, epoch loss=0.262152
Batch=119, step=1320, lr=0.194750, batch loss=0.210587, epoch loss=0.472740
Batch=179, step=1380, lr=0.194500, batch loss=0.244034, epoch loss=0.716774
Batch=239, step=1440, lr=0.194250, batch loss=0.350240, epoch loss=1.067014
Batch=299, step=1500, lr=0.194000, batch loss=0.239095, epoch loss=1.306109
Batch=359, step=1560, lr=0.193750, batch loss=0.312945, epoch loss=1.619055
Batch=419, step=1620, lr=0.193500, batch loss=0.307122, epoch loss=1.926177
Batch=479, step=1680, lr=0.193250, batch loss=0.272867, epoch loss=2.199044
Batch=539, step=1740, lr=0.193000, batch loss=0.210431, epoch loss=2.409476
Batch=599, step=1800, lr=0.192750, batch loss=0.249330, epoch loss=2.658805
Batch=659, step=1860, lr=0.192500, batch loss=0.368093, epoch loss=3.026898
Batch=719, step=1920, lr=0.192250, batch loss=0.362941, epoch loss=3.389839
Batch=779, step=1980, lr=0.192000, batch loss=0.380175, epoch loss=3.770014
Batch=839, step=2040, lr=0.191750, batch loss=0.343564, epoch loss=4.113579
Batch=899, step=2100, lr=0.191500, batch loss=0.314893, epoch loss=4.428472
Batch=959, step=2160, lr=0.191250, batch loss=0.241617, epoch loss=4.670089
Batch=1019, step=2220, lr=0.191000, batch loss=0.358979, epoch loss=5.029068
Batch=1079, step=2280, lr=0.190750, batch loss=0.235940, epoch loss=5.265009
Batch=1139, step=2340, lr=0.190500, batch loss=0.286206, epoch loss=5.551215
Batch=1199, step=2400, lr=0.190250, batch loss=0.217428, epoch loss=5.768643
Epoch=1, step=2400, lr=0.190250, epoch loss=5.768643
Batch=59, step=2460, lr=0.190000, batch loss=0.229640, epoch loss=0.229640
Batch=119, step=2520, lr=0.189750, batch loss=0.186354, epoch loss=0.415994
Batch=179, step=2580, lr=0.189500, batch loss=0.221829, epoch loss=0.637824
Batch=239, step=2640, lr=0.189250, batch loss=0.338515, epoch loss=0.976339
Batch=299, step=2700, lr=0.188750, batch loss=0.218174, epoch loss=1.194513
Batch=359, step=2760, lr=0.188750, batch loss=0.296289, epoch loss=1.490802
Batch=419, step=2820, lr=0.188250, batch loss=0.288862, epoch loss=1.779664
Batch=479, step=2880, lr=0.188000, batch loss=0.261192, epoch loss=2.040856
Batch=539, step=2940, lr=0.188000, batch loss=0.197002, epoch loss=2.237858
Batch=599, step=3000, lr=0.187750, batch loss=0.238655, epoch loss=2.476513
Batch=659, step=3060, lr=0.187500, batch loss=0.341197, epoch loss=2.817710
Batch=719, step=3120, lr=0.187250, batch loss=0.337991, epoch loss=3.155701
Batch=779, step=3180, lr=0.187000, batch loss=0.359603, epoch loss=3.515305
Batch=839, step=3240, lr=0.186500, batch loss=0.330162, epoch loss=3.845466
Batch=899, step=3300, lr=0.186250, batch loss=0.299636, epoch loss=4.145103
Batch=959, step=3360, lr=0.186250, batch loss=0.237410, epoch loss=4.382513
Batch=1019, step=3420, lr=0.186000, batch loss=0.356103, epoch loss=4.738616
Batch=1079, step=3480, lr=0.185750, batch loss=0.223048, epoch loss=4.961663
Batch=1139, step=3540, lr=0.185500, batch loss=0.260984, epoch loss=5.222647
Batch=1199, step=3600, lr=0.185250, batch loss=0.200445, epoch loss=5.423092
Epoch=2, step=3600, lr=0.185250, epoch loss=5.423092
Batch=59, step=3660, lr=0.185000, batch loss=0.227811, epoch loss=0.227811
Batch=119, step=3720, lr=0.184750, batch loss=0.187052, epoch loss=0.414863
Batch=179, step=3780, lr=0.184500, batch loss=0.213807, epoch loss=0.628670
Batch=239, step=3840, lr=0.184250, batch loss=0.317329, epoch loss=0.945999
Batch=299, step=3900, lr=0.184000, batch loss=0.203816, epoch loss=1.149815
Batch=359, step=3960, lr=0.183750, batch loss=0.289106, epoch loss=1.438921
Batch=419, step=4020, lr=0.183500, batch loss=0.275573, epoch loss=1.714494
Batch=479, step=4080, lr=0.183250, batch loss=0.259005, epoch loss=1.973498
Batch=539, step=4140, lr=0.183000, batch loss=0.194376, epoch loss=2.167875
Batch=599, step=4200, lr=0.182750, batch loss=0.229257, epoch loss=2.397132
Batch=659, step=4260, lr=0.182500, batch loss=0.332494, epoch loss=2.729626
Batch=719, step=4320, lr=0.182250, batch loss=0.328515, epoch loss=3.058142
Batch=779, step=4380, lr=0.182000, batch loss=0.348263, epoch loss=3.406405
Batch=839, step=4440, lr=0.181750, batch loss=0.319189, epoch loss=3.725593
Batch=899, step=4500, lr=0.181500, batch loss=0.286688, epoch loss=4.012281
Batch=959, step=4560, lr=0.181250, batch loss=0.238005, epoch loss=4.250287
Batch=1019, step=4620, lr=0.181000, batch loss=0.330328, epoch loss=4.580615
Batch=1079, step=4680, lr=0.180750, batch loss=0.194336, epoch loss=4.774951
Batch=1139, step=4740, lr=0.180500, batch loss=0.228148, epoch loss=5.003100
Batch=1199, step=4800, lr=0.180250, batch loss=0.193801, epoch loss=5.196900
Epoch=3, step=4800, lr=0.180250, epoch loss=5.196900
Batch=59, step=4860, lr=0.180000, batch loss=0.234846, epoch loss=0.234846
Batch=119, step=4920, lr=0.179750, batch loss=0.191073, epoch loss=0.425918
Batch=179, step=4980, lr=0.179500, batch loss=0.206853, epoch loss=0.632772
Batch=239, step=5040, lr=0.179250, batch loss=0.308126, epoch loss=0.940898
Batch=299, step=5100, lr=0.179000, batch loss=0.207595, epoch loss=1.148492
Batch=359, step=5160, lr=0.178750, batch loss=0.274778, epoch loss=1.423270
Batch=419, step=5220, lr=0.178500, batch loss=0.266150, epoch loss=1.689420
Batch=479, step=5280, lr=0.178250, batch loss=0.241694, epoch loss=1.931114
Batch=539, step=5340, lr=0.178000, batch loss=0.189389, epoch loss=2.120503
Batch=599, step=5400, lr=0.177750, batch loss=0.231513, epoch loss=2.352016
Batch=659, step=5460, lr=0.177500, batch loss=0.324306, epoch loss=2.676322
Batch=719, step=5520, lr=0.177250, batch loss=0.320839, epoch loss=2.997161
Batch=779, step=5580, lr=0.177000, batch loss=0.342190, epoch loss=3.339350
Batch=839, step=5640, lr=0.176750, batch loss=0.311421, epoch loss=3.650771
Batch=899, step=5700, lr=0.176500, batch loss=0.272767, epoch loss=3.923538
Batch=959, step=5760, lr=0.176250, batch loss=0.216531, epoch loss=4.140069
Batch=1019, step=5820, lr=0.176000, batch loss=0.332141, epoch loss=4.472210
Batch=1079, step=5880, lr=0.175750, batch loss=0.182511, epoch loss=4.654721
Batch=1139, step=5940, lr=0.175500, batch loss=0.218174, epoch loss=4.872895
Batch=1199, step=6000, lr=0.175250, batch loss=0.201453, epoch loss=5.074348
Epoch=4, step=6000, lr=0.175250, epoch loss=5.074348
Batch=59, step=6060, lr=0.174750, batch loss=0.242206, epoch loss=0.242206
Batch=119, step=6120, lr=0.174750, batch loss=0.186651, epoch loss=0.428857
Batch=179, step=6180, lr=0.174500, batch loss=0.200700, epoch loss=0.629556
Batch=239, step=6240, lr=0.174250, batch loss=0.301107, epoch loss=0.930663
Batch=299, step=6300, lr=0.174000, batch loss=0.213485, epoch loss=1.144148
Batch=359, step=6360, lr=0.173750, batch loss=0.270194, epoch loss=1.414342
Batch=419, step=6420, lr=0.173500, batch loss=0.266028, epoch loss=1.680370
Batch=479, step=6480, lr=0.173250, batch loss=0.246295, epoch loss=1.926665
Batch=539, step=6540, lr=0.173000, batch loss=0.193407, epoch loss=2.120072
Batch=599, step=6600, lr=0.172750, batch loss=0.237689, epoch loss=2.357761
Batch=659, step=6660, lr=0.172500, batch loss=0.311976, epoch loss=2.669737
Batch=719, step=6720, lr=0.172250, batch loss=0.319352, epoch loss=2.989089
Batch=779, step=6780, lr=0.171750, batch loss=0.339271, epoch loss=3.328360
Batch=839, step=6840, lr=0.171750, batch loss=0.300060, epoch loss=3.628420
Batch=899, step=6900, lr=0.171500, batch loss=0.260857, epoch loss=3.889277
Batch=959, step=6960, lr=0.171000, batch loss=0.194459, epoch loss=4.083736
Batch=1019, step=7020, lr=0.170750, batch loss=0.299982, epoch loss=4.383718
Batch=1079, step=7080, lr=0.170750, batch loss=0.176196, epoch loss=4.559914
Batch=1139, step=7140, lr=0.170250, batch loss=0.215455, epoch loss=4.775369
Batch=1199, step=7200, lr=0.170250, batch loss=0.181514, epoch loss=4.956882
Epoch=5, step=7200, lr=0.170250, epoch loss=4.956882
Batch=59, step=7260, lr=0.170000, batch loss=0.212951, epoch loss=0.212951
Batch=119, step=7320, lr=0.169750, batch loss=0.184712, epoch loss=0.397663
Batch=179, step=7380, lr=0.169500, batch loss=0.194407, epoch loss=0.592071
Batch=239, step=7440, lr=0.169250, batch loss=0.290942, epoch loss=0.883013
Batch=299, step=7500, lr=0.169000, batch loss=0.206543, epoch loss=1.089556
Batch=359, step=7560, lr=0.168750, batch loss=0.263630, epoch loss=1.353186
Batch=419, step=7620, lr=0.168500, batch loss=0.253659, epoch loss=1.606845
Batch=479, step=7680, lr=0.168250, batch loss=0.229682, epoch loss=1.836527
Batch=539, step=7740, lr=0.168000, batch loss=0.183765, epoch loss=2.020292
Batch=599, step=7800, lr=0.167750, batch loss=0.220614, epoch loss=2.240907
Batch=659, step=7860, lr=0.167500, batch loss=0.305049, epoch loss=2.545955
Batch=719, step=7920, lr=0.167250, batch loss=0.308695, epoch loss=2.854650
Batch=779, step=7980, lr=0.167000, batch loss=0.320891, epoch loss=3.175541
Batch=839, step=8040, lr=0.166750, batch loss=0.297629, epoch loss=3.473171
Batch=899, step=8100, lr=0.166500, batch loss=0.258250, epoch loss=3.731420
Batch=959, step=8160, lr=0.166000, batch loss=0.207798, epoch loss=3.939218
Batch=1019, step=8220, lr=0.166000, batch loss=0.319722, epoch loss=4.258940
Batch=1079, step=8280, lr=0.165750, batch loss=0.172657, epoch loss=4.431598
Batch=1139, step=8340, lr=0.165250, batch loss=0.210222, epoch loss=4.641820
Batch=1199, step=8400, lr=0.165250, batch loss=0.178183, epoch loss=4.820004
Epoch=6, step=8400, lr=0.165250, epoch loss=4.820004
Batch=59, step=8460, lr=0.164750, batch loss=0.231194, epoch loss=0.231194
Batch=119, step=8520, lr=0.164750, batch loss=0.174775, epoch loss=0.405969
Batch=179, step=8580, lr=0.164500, batch loss=0.188582, epoch loss=0.594551
Batch=239, step=8640, lr=0.164250, batch loss=0.280345, epoch loss=0.874896
Batch=299, step=8700, lr=0.164000, batch loss=0.192802, epoch loss=1.067697
Batch=359, step=8760, lr=0.163750, batch loss=0.250365, epoch loss=1.318063
Batch=419, step=8820, lr=0.163500, batch loss=0.246731, epoch loss=1.564794
Batch=479, step=8880, lr=0.163250, batch loss=0.227966, epoch loss=1.792760
Batch=539, step=8940, lr=0.163000, batch loss=0.182250, epoch loss=1.975010
Batch=599, step=9000, lr=0.162750, batch loss=0.216715, epoch loss=2.191725
Batch=659, step=9060, lr=0.162500, batch loss=0.294641, epoch loss=2.486366
Batch=719, step=9120, lr=0.162250, batch loss=0.294105, epoch loss=2.780470
Batch=779, step=9180, lr=0.162000, batch loss=0.307535, epoch loss=3.088005
Batch=839, step=9240, lr=0.161750, batch loss=0.285779, epoch loss=3.373784
Batch=899, step=9300, lr=0.161500, batch loss=0.249649, epoch loss=3.623433
Batch=959, step=9360, lr=0.161250, batch loss=0.195075, epoch loss=3.818508
Batch=1019, step=9420, lr=0.161000, batch loss=0.310656, epoch loss=4.129164
Batch=1079, step=9480, lr=0.160500, batch loss=0.195688, epoch loss=4.324852
Batch=1139, step=9540, lr=0.160500, batch loss=0.215171, epoch loss=4.540023
Batch=1199, step=9600, lr=0.160250, batch loss=0.168580, epoch loss=4.708603
Epoch=7, step=9600, lr=0.160250, epoch loss=4.708603
Batch=59, step=9660, lr=0.159750, batch loss=0.201417, epoch loss=0.201417
Batch=119, step=9720, lr=0.159750, batch loss=0.165429, epoch loss=0.366846
Batch=179, step=9780, lr=0.159250, batch loss=0.179239, epoch loss=0.546085
Batch=239, step=9840, lr=0.159250, batch loss=0.263825, epoch loss=0.809910
Batch=299, step=9900, lr=0.159000, batch loss=0.182190, epoch loss=0.992100
Batch=359, step=9960, lr=0.158750, batch loss=0.243413, epoch loss=1.235513
Batch=419, step=10020, lr=0.158500, batch loss=0.234353, epoch loss=1.469866
Batch=479, step=10080, lr=0.158250, batch loss=0.214794, epoch loss=1.684660
Batch=539, step=10140, lr=0.158000, batch loss=0.172461, epoch loss=1.857121
Batch=599, step=10200, lr=0.157750, batch loss=0.202944, epoch loss=2.060065
Batch=659, step=10260, lr=0.157500, batch loss=0.282607, epoch loss=2.342672
Batch=719, step=10320, lr=0.157000, batch loss=0.287458, epoch loss=2.630130
Batch=779, step=10380, lr=0.157000, batch loss=0.293457, epoch loss=2.923587
Batch=839, step=10440, lr=0.156750, batch loss=0.268932, epoch loss=3.192519
Batch=899, step=10500, lr=0.156500, batch loss=0.244665, epoch loss=3.437183
Batch=959, step=10560, lr=0.156250, batch loss=0.196849, epoch loss=3.634033
Batch=1019, step=10620, lr=0.156000, batch loss=0.285720, epoch loss=3.919752
Batch=1079, step=10680, lr=0.155500, batch loss=0.193065, epoch loss=4.112817
Batch=1139, step=10740, lr=0.155500, batch loss=0.206152, epoch loss=4.318968
Batch=1199, step=10800, lr=0.155250, batch loss=0.157116, epoch loss=4.476085
Epoch=8, step=10800, lr=0.155250, epoch loss=4.476085
Batch=59, step=10860, lr=0.155000, batch loss=0.179899, epoch loss=0.179899
Batch=119, step=10920, lr=0.154750, batch loss=0.151376, epoch loss=0.331274
Batch=179, step=10980, lr=0.154500, batch loss=0.167837, epoch loss=0.499112
Batch=239, step=11040, lr=0.154000, batch loss=0.249575, epoch loss=0.748686
Batch=299, step=11100, lr=0.154000, batch loss=0.169888, epoch loss=0.918575
Batch=359, step=11160, lr=0.153750, batch loss=0.222894, epoch loss=1.141469
Batch=419, step=11220, lr=0.153500, batch loss=0.218112, epoch loss=1.359580
Batch=479, step=11280, lr=0.153000, batch loss=0.213290, epoch loss=1.572870
Batch=539, step=11340, lr=0.153000, batch loss=0.163157, epoch loss=1.736027
Batch=599, step=11400, lr=0.152500, batch loss=0.179823, epoch loss=1.915850
Batch=659, step=11460, lr=0.152500, batch loss=0.267652, epoch loss=2.183502
Batch=719, step=11520, lr=0.152250, batch loss=0.266574, epoch loss=2.450076
Batch=779, step=11580, lr=0.152000, batch loss=0.276137, epoch loss=2.726214
Batch=839, step=11640, lr=0.151750, batch loss=0.252924, epoch loss=2.979137
Batch=899, step=11700, lr=0.151500, batch loss=0.222270, epoch loss=3.201407
Batch=959, step=11760, lr=0.151250, batch loss=0.188813, epoch loss=3.390220
Batch=1019, step=11820, lr=0.151000, batch loss=0.293204, epoch loss=3.683424
Batch=1079, step=11880, lr=0.150750, batch loss=0.147223, epoch loss=3.830647
Batch=1139, step=11940, lr=0.150500, batch loss=0.181510, epoch loss=4.012158
Batch=1199, step=12000, lr=0.150250, batch loss=0.141602, epoch loss=4.153759
Epoch=9, step=12000, lr=0.150250, epoch loss=4.153759
Batch=59, step=12060, lr=0.149750, batch loss=0.162929, epoch loss=0.162929
Batch=119, step=12120, lr=0.149750, batch loss=0.138485, epoch loss=0.301414
Batch=179, step=12180, lr=0.149500, batch loss=0.153540, epoch loss=0.454954
Batch=239, step=12240, lr=0.149250, batch loss=0.222487, epoch loss=0.677441
Batch=299, step=12300, lr=0.149000, batch loss=0.144839, epoch loss=0.822280
Batch=359, step=12360, lr=0.148500, batch loss=0.200900, epoch loss=1.023180
Batch=419, step=12420, lr=0.148500, batch loss=0.209190, epoch loss=1.232371
Batch=479, step=12480, lr=0.148250, batch loss=0.181056, epoch loss=1.413426
Batch=539, step=12540, lr=0.148000, batch loss=0.144493, epoch loss=1.557919
Batch=599, step=12600, lr=0.147750, batch loss=0.150920, epoch loss=1.708839
Batch=659, step=12660, lr=0.147500, batch loss=0.230984, epoch loss=1.939823
Batch=719, step=12720, lr=0.147250, batch loss=0.243979, epoch loss=2.183802
Batch=779, step=12780, lr=0.147000, batch loss=0.256704, epoch loss=2.440506
Batch=839, step=12840, lr=0.146750, batch loss=0.229839, epoch loss=2.670345
Batch=899, step=12900, lr=0.146500, batch loss=0.194775, epoch loss=2.865120
Batch=959, step=12960, lr=0.146250, batch loss=0.163431, epoch loss=3.028551
Batch=1019, step=13020, lr=0.146000, batch loss=0.264627, epoch loss=3.293177
Batch=1079, step=13080, lr=0.145750, batch loss=0.117805, epoch loss=3.410982
Batch=1139, step=13140, lr=0.145500, batch loss=0.151052, epoch loss=3.562034
Batch=1199, step=13200, lr=0.145250, batch loss=0.119574, epoch loss=3.681609
Epoch=10, step=13200, lr=0.145250, epoch loss=3.681609
Batch=59, step=13260, lr=0.145000, batch loss=0.142447, epoch loss=0.142447
Batch=119, step=13320, lr=0.144750, batch loss=0.125288, epoch loss=0.267735
Batch=179, step=13380, lr=0.144500, batch loss=0.131164, epoch loss=0.398899
Batch=239, step=13440, lr=0.144250, batch loss=0.195612, epoch loss=0.594511
Batch=299, step=13500, lr=0.144000, batch loss=0.122855, epoch loss=0.717365
Batch=359, step=13560, lr=0.143750, batch loss=0.168195, epoch loss=0.885561
Batch=419, step=13620, lr=0.143500, batch loss=0.169428, epoch loss=1.054988
Batch=479, step=13680, lr=0.143000, batch loss=0.154473, epoch loss=1.209462
Batch=539, step=13740, lr=0.143000, batch loss=0.119411, epoch loss=1.328873
Batch=599, step=13800, lr=0.142750, batch loss=0.124406, epoch loss=1.453279
Batch=659, step=13860, lr=0.142500, batch loss=0.185290, epoch loss=1.638569
Batch=719, step=13920, lr=0.142250, batch loss=0.187292, epoch loss=1.825861
Batch=779, step=13980, lr=0.142000, batch loss=0.211770, epoch loss=2.037631
Batch=839, step=14040, lr=0.141750, batch loss=0.206466, epoch loss=2.244096
Batch=899, step=14100, lr=0.141500, batch loss=0.216674, epoch loss=2.460771
Batch=959, step=14160, lr=0.141250, batch loss=0.109838, epoch loss=2.570609
Batch=1019, step=14220, lr=0.141000, batch loss=0.195721, epoch loss=2.766331
Batch=1079, step=14280, lr=0.140750, batch loss=0.082326, epoch loss=2.848657
Batch=1139, step=14340, lr=0.140500, batch loss=0.130820, epoch loss=2.979477
Batch=1199, step=14400, lr=0.140000, batch loss=0.089891, epoch loss=3.069367
Epoch=11, step=14400, lr=0.140000, epoch loss=3.069367
Batch=59, step=14460, lr=0.140000, batch loss=0.114379, epoch loss=0.114379
Batch=119, step=14520, lr=0.139750, batch loss=0.105229, epoch loss=0.219608
Batch=179, step=14580, lr=0.139500, batch loss=0.104261, epoch loss=0.323869
Batch=239, step=14640, lr=0.139250, batch loss=0.148425, epoch loss=0.472294
Batch=299, step=14700, lr=0.139000, batch loss=0.079704, epoch loss=0.551998
Batch=359, step=14760, lr=0.138750, batch loss=0.125487, epoch loss=0.677485
Batch=419, step=14820, lr=0.138500, batch loss=0.133558, epoch loss=0.811043
Batch=479, step=14880, lr=0.138250, batch loss=0.108490, epoch loss=0.919534
Batch=539, step=14940, lr=0.138000, batch loss=0.106491, epoch loss=1.026025
Batch=599, step=15000, lr=0.137750, batch loss=0.087986, epoch loss=1.114011
Batch=659, step=15060, lr=0.137500, batch loss=0.133421, epoch loss=1.247431
Batch=719, step=15120, lr=0.137250, batch loss=0.125887, epoch loss=1.373319
Batch=779, step=15180, lr=0.137000, batch loss=0.137221, epoch loss=1.510540
Batch=839, step=15240, lr=0.136750, batch loss=0.148181, epoch loss=1.658721
Batch=899, step=15300, lr=0.136500, batch loss=0.148170, epoch loss=1.806891
Batch=959, step=15360, lr=0.136250, batch loss=0.117357, epoch loss=1.924248
Batch=1019, step=15420, lr=0.136000, batch loss=0.355612, epoch loss=2.279860
Batch=1079, step=15480, lr=0.135750, batch loss=0.039535, epoch loss=2.319395
Batch=1139, step=15540, lr=0.135500, batch loss=0.078167, epoch loss=2.397563
Batch=1199, step=15600, lr=0.135250, batch loss=0.057338, epoch loss=2.454901
Epoch=12, step=15600, lr=0.135250, epoch loss=2.454901
Batch=59, step=15660, lr=0.135000, batch loss=0.075805, epoch loss=0.075805
Batch=119, step=15720, lr=0.134750, batch loss=0.085741, epoch loss=0.161546
Batch=179, step=15780, lr=0.134500, batch loss=0.082854, epoch loss=0.244400
Batch=239, step=15840, lr=0.134250, batch loss=0.096965, epoch loss=0.341365
Batch=299, step=15900, lr=0.134000, batch loss=0.056968, epoch loss=0.398333
Batch=359, step=15960, lr=0.133750, batch loss=0.106828, epoch loss=0.505161
Batch=419, step=16020, lr=0.133500, batch loss=0.168091, epoch loss=0.673252
Batch=479, step=16080, lr=0.133250, batch loss=0.053278, epoch loss=0.726530
Batch=539, step=16140, lr=0.133000, batch loss=0.067532, epoch loss=0.794062
Batch=599, step=16200, lr=0.132750, batch loss=0.145376, epoch loss=0.939439
Batch=659, step=16260, lr=0.132500, batch loss=0.100345, epoch loss=1.039784
Batch=719, step=16320, lr=0.132250, batch loss=0.132464, epoch loss=1.172248
Batch=779, step=16380, lr=0.132000, batch loss=0.253797, epoch loss=1.426045
Batch=839, step=16440, lr=0.131750, batch loss=0.093451, epoch loss=1.519495
Batch=899, step=16500, lr=0.131500, batch loss=0.076686, epoch loss=1.596181
Batch=959, step=16560, lr=0.131250, batch loss=0.040596, epoch loss=1.636777
Batch=1019, step=16620, lr=0.131000, batch loss=0.097180, epoch loss=1.733957
Batch=1079, step=16680, lr=0.130750, batch loss=0.028377, epoch loss=1.762334
Batch=1139, step=16740, lr=0.130500, batch loss=0.056400, epoch loss=1.818734
Batch=1199, step=16800, lr=0.130250, batch loss=0.033655, epoch loss=1.852388
Epoch=13, step=16800, lr=0.130250, epoch loss=1.852388
Batch=59, step=16860, lr=0.130000, batch loss=0.043840, epoch loss=0.043840
Batch=119, step=16920, lr=0.129750, batch loss=0.060578, epoch loss=0.104418
Batch=179, step=16980, lr=0.129500, batch loss=0.055920, epoch loss=0.160338
Batch=239, step=17040, lr=0.129000, batch loss=0.066835, epoch loss=0.227173
Batch=299, step=17100, lr=0.129000, batch loss=0.028402, epoch loss=0.255576
Batch=359, step=17160, lr=0.128750, batch loss=0.050050, epoch loss=0.305626
Batch=419, step=17220, lr=0.128500, batch loss=0.068289, epoch loss=0.373915
Batch=479, step=17280, lr=0.128250, batch loss=0.025557, epoch loss=0.399472
Batch=539, step=17340, lr=0.128000, batch loss=0.031003, epoch loss=0.430475
Batch=599, step=17400, lr=0.127750, batch loss=0.035376, epoch loss=0.465851
Batch=659, step=17460, lr=0.127500, batch loss=0.051780, epoch loss=0.517631
Batch=719, step=17520, lr=0.127250, batch loss=0.063119, epoch loss=0.580750
Batch=779, step=17580, lr=0.127000, batch loss=0.063682, epoch loss=0.644432
Batch=839, step=17640, lr=0.126750, batch loss=0.105761, epoch loss=0.750193
Batch=899, step=17700, lr=0.126500, batch loss=0.061091, epoch loss=0.811283
Batch=959, step=17760, lr=0.126250, batch loss=0.024668, epoch loss=0.835951
Batch=1019, step=17820, lr=0.126000, batch loss=0.039076, epoch loss=0.875027
Batch=1079, step=17880, lr=0.125750, batch loss=0.024635, epoch loss=0.899662
Batch=1139, step=17940, lr=0.125500, batch loss=0.057022, epoch loss=0.956684
Batch=1199, step=18000, lr=0.125250, batch loss=0.021656, epoch loss=0.978340
Epoch=14, step=18000, lr=0.125250, epoch loss=0.978340
Batch=59, step=18060, lr=0.125000, batch loss=0.014385, epoch loss=0.014385
Batch=119, step=18120, lr=0.124750, batch loss=0.019356, epoch loss=0.033740
Batch=179, step=18180, lr=0.124500, batch loss=0.030309, epoch loss=0.064049
Batch=239, step=18240, lr=0.124250, batch loss=0.036520, epoch loss=0.100569
Batch=299, step=18300, lr=0.124000, batch loss=0.012451, epoch loss=0.113021
Batch=359, step=18360, lr=0.123500, batch loss=0.024919, epoch loss=0.137940
Batch=419, step=18420, lr=0.123250, batch loss=0.029745, epoch loss=0.167684
Batch=479, step=18480, lr=0.123250, batch loss=0.021515, epoch loss=0.189199
Batch=539, step=18540, lr=0.122750, batch loss=0.045578, epoch loss=0.234778
Batch=599, step=18600, lr=0.122500, batch loss=0.026223, epoch loss=0.261000
Batch=659, step=18660, lr=0.122250, batch loss=0.036235, epoch loss=0.297235
Batch=719, step=18720, lr=0.122000, batch loss=0.037618, epoch loss=0.334853
Batch=779, step=18780, lr=0.121750, batch loss=0.091436, epoch loss=0.426289
Batch=839, step=18840, lr=0.121750, batch loss=0.071265, epoch loss=0.497555
Batch=899, step=18900, lr=0.121500, batch loss=0.110637, epoch loss=0.608192
Batch=959, step=18960, lr=0.121000, batch loss=0.016331, epoch loss=0.624523
Batch=1019, step=19020, lr=0.121000, batch loss=0.024612, epoch loss=0.649136
Batch=1079, step=19080, lr=0.120750, batch loss=0.008058, epoch loss=0.657194
Batch=1139, step=19140, lr=0.120500, batch loss=0.025826, epoch loss=0.683020
Batch=1199, step=19200, lr=0.120250, batch loss=0.011730, epoch loss=0.694749
Epoch=15, step=19200, lr=0.120250, epoch loss=0.694749
Batch=59, step=19260, lr=0.120000, batch loss=0.006378, epoch loss=0.006378
Batch=119, step=19320, lr=0.119750, batch loss=0.013264, epoch loss=0.019642
Batch=179, step=19380, lr=0.119500, batch loss=0.035059, epoch loss=0.054701
Batch=239, step=19440, lr=0.119250, batch loss=0.023869, epoch loss=0.078570
Batch=299, step=19500, lr=0.119000, batch loss=0.007383, epoch loss=0.085953
Batch=359, step=19560, lr=0.118750, batch loss=0.017316, epoch loss=0.103269
Batch=419, step=19620, lr=0.118500, batch loss=0.020766, epoch loss=0.124035
Batch=479, step=19680, lr=0.118250, batch loss=0.007214, epoch loss=0.131249
Batch=539, step=19740, lr=0.118000, batch loss=0.016933, epoch loss=0.148182
Batch=599, step=19800, lr=0.117750, batch loss=0.021979, epoch loss=0.170162
Batch=659, step=19860, lr=0.117500, batch loss=0.017898, epoch loss=0.188060
Batch=719, step=19920, lr=0.117250, batch loss=0.044144, epoch loss=0.232203
Batch=779, step=19980, lr=0.116750, batch loss=0.086735, epoch loss=0.318938
Batch=839, step=20040, lr=0.116500, batch loss=0.032971, epoch loss=0.351909
Batch=899, step=20100, lr=0.116500, batch loss=0.028428, epoch loss=0.380337
Batch=959, step=20160, lr=0.116000, batch loss=0.019002, epoch loss=0.399339
Batch=1019, step=20220, lr=0.115750, batch loss=0.027107, epoch loss=0.426446
Batch=1079, step=20280, lr=0.115750, batch loss=0.002662, epoch loss=0.429108
Batch=1139, step=20340, lr=0.115500, batch loss=0.014903, epoch loss=0.444011
Batch=1199, step=20400, lr=0.115250, batch loss=0.005882, epoch loss=0.449893
Epoch=16, step=20400, lr=0.115250, epoch loss=0.449893
Batch=59, step=20460, lr=0.115000, batch loss=0.003793, epoch loss=0.003793
Batch=119, step=20520, lr=0.114750, batch loss=0.009625, epoch loss=0.013418
Batch=179, step=20580, lr=0.114500, batch loss=0.023487, epoch loss=0.036905
Batch=239, step=20640, lr=0.114250, batch loss=0.015828, epoch loss=0.052733
Batch=299, step=20700, lr=0.114000, batch loss=0.005891, epoch loss=0.058624
Batch=359, step=20760, lr=0.113750, batch loss=0.014057, epoch loss=0.072681
Batch=419, step=20820, lr=0.113500, batch loss=0.014291, epoch loss=0.086972
Batch=479, step=20880, lr=0.113250, batch loss=0.003657, epoch loss=0.090629
Batch=539, step=20940, lr=0.113000, batch loss=0.017766, epoch loss=0.108395
Batch=599, step=21000, lr=0.112750, batch loss=0.021296, epoch loss=0.129691
Batch=659, step=21060, lr=0.112500, batch loss=0.014582, epoch loss=0.144274
Batch=719, step=21120, lr=0.112250, batch loss=0.044196, epoch loss=0.188469
Batch=779, step=21180, lr=0.112000, batch loss=0.070436, epoch loss=0.258905
Batch=839, step=21240, lr=0.111750, batch loss=0.026045, epoch loss=0.284951
Batch=899, step=21300, lr=0.111500, batch loss=0.027665, epoch loss=0.312616
Batch=959, step=21360, lr=0.111250, batch loss=0.010328, epoch loss=0.322944
Batch=1019, step=21420, lr=0.111000, batch loss=0.011120, epoch loss=0.334064
Batch=1079, step=21480, lr=0.110750, batch loss=0.001453, epoch loss=0.335518
Batch=1139, step=21540, lr=0.110500, batch loss=0.013258, epoch loss=0.348776
Batch=1199, step=21600, lr=0.110000, batch loss=0.005200, epoch loss=0.353976
Epoch=17, step=21600, lr=0.110000, epoch loss=0.353976
Batch=59, step=21660, lr=0.110000, batch loss=0.002539, epoch loss=0.002539
Batch=119, step=21720, lr=0.109500, batch loss=0.006977, epoch loss=0.009515
Batch=179, step=21780, lr=0.109250, batch loss=0.013176, epoch loss=0.022691
Batch=239, step=21840, lr=0.109250, batch loss=0.010034, epoch loss=0.032725
Batch=299, step=21900, lr=0.108750, batch loss=0.009875, epoch loss=0.042600
Batch=359, step=21960, lr=0.108500, batch loss=0.015054, epoch loss=0.057654
Batch=419, step=22020, lr=0.108500, batch loss=0.012369, epoch loss=0.070023
Batch=479, step=22080, lr=0.108250, batch loss=0.003178, epoch loss=0.073201
Batch=539, step=22140, lr=0.107750, batch loss=0.017786, epoch loss=0.090987
Batch=599, step=22200, lr=0.107750, batch loss=0.017302, epoch loss=0.108289
Batch=659, step=22260, lr=0.107250, batch loss=0.014721, epoch loss=0.123010
Batch=719, step=22320, lr=0.107250, batch loss=0.026910, epoch loss=0.149920
Batch=779, step=22380, lr=0.106750, batch loss=0.043665, epoch loss=0.193586
Batch=839, step=22440, lr=0.106750, batch loss=0.022071, epoch loss=0.215656
Batch=899, step=22500, lr=0.106500, batch loss=0.021653, epoch loss=0.237309
Batch=959, step=22560, lr=0.106250, batch loss=0.010655, epoch loss=0.247965
Batch=1019, step=22620, lr=0.106000, batch loss=0.010279, epoch loss=0.258244
Batch=1079, step=22680, lr=0.105750, batch loss=0.000216, epoch loss=0.258460
Batch=1139, step=22740, lr=0.105500, batch loss=0.010936, epoch loss=0.269396
Batch=1199, step=22800, lr=0.105000, batch loss=0.004347, epoch loss=0.273742
Epoch=18, step=22800, lr=0.105000, epoch loss=0.273742
Batch=59, step=22860, lr=0.105000, batch loss=0.001541, epoch loss=0.001541
Batch=119, step=22920, lr=0.104750, batch loss=0.005577, epoch loss=0.007117
Batch=179, step=22980, lr=0.104250, batch loss=0.010859, epoch loss=0.017976
Batch=239, step=23040, lr=0.104000, batch loss=0.009629, epoch loss=0.027605
Batch=299, step=23100, lr=0.104000, batch loss=0.011096, epoch loss=0.038701
Batch=359, step=23160, lr=0.103750, batch loss=0.011510, epoch loss=0.050211
Batch=419, step=23220, lr=0.103250, batch loss=0.011107, epoch loss=0.061318
Batch=479, step=23280, lr=0.103250, batch loss=0.002505, epoch loss=0.063823
Batch=539, step=23340, lr=0.103000, batch loss=0.016398, epoch loss=0.080220
Batch=599, step=23400, lr=0.102500, batch loss=0.013864, epoch loss=0.094085
Batch=659, step=23460, lr=0.102500, batch loss=0.011804, epoch loss=0.105888
Batch=719, step=23520, lr=0.102250, batch loss=0.011381, epoch loss=0.117269
Batch=779, step=23580, lr=0.102000, batch loss=0.018781, epoch loss=0.136050
Batch=839, step=23640, lr=0.101750, batch loss=0.029596, epoch loss=0.165647
Batch=899, step=23700, lr=0.101500, batch loss=0.020762, epoch loss=0.186409
Batch=959, step=23760, lr=0.101250, batch loss=0.009789, epoch loss=0.196198
Batch=1019, step=23820, lr=0.101000, batch loss=0.007850, epoch loss=0.204048
Batch=1079, step=23880, lr=0.100750, batch loss=0.000495, epoch loss=0.204543
Batch=1139, step=23940, lr=0.100250, batch loss=0.009492, epoch loss=0.214036
Batch=1199, step=24000, lr=0.100250, batch loss=0.004321, epoch loss=0.218357
Epoch=19, step=24000, lr=0.100250, epoch loss=0.218357


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 15:06.34 ---> saved as "8f1762426b2250dc130fa2478b9911be0dc5c612de1d2c034bae3d5ec6bcc6c3"
Job succeeded
2025-03-21 15:06.35: Job succeeded