opensuse-15.6-5.3_opam-2.3

2025-04-10 12:28.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (a65dd8955db6894ca41a3c2080e5dda2dd1bf41f) (linux-x86_64:opensuse-15.6-5.3_opam-2.3)
Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard a65dd895
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c
# 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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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


2025-04-10 12:28.21: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c-opensuse-15.6-5.3_opam-2.3-ab22fb8412356c04fa0386e1ea5b2a04"
2025-04-10 12:28.21: Using OBuilder spec:
((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c)
(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 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && 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 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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"))
)


2025-04-10 12:28.21: Waiting for resource in pool OCluster
2025-04-10 14:23.00: Waiting for worker…
2025-04-10 14:29.12: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
HEAD is now at 463c5703 Fix ppx_minidebug version, update cudajit version
HEAD is now at a65dd895 Tiny formatting


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:26af78fbe7bbe4cf17f3f1979a6a4856a973aa32caecd551ef59d3eb82fe165c)
2025-04-10 14:29.56 ---> saved as "13a3c35168068fbd9e1f5b24d6fcd373b69aec65e17733e67aa0463be3baf0ae"


/: (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"))
2025-04-10 14:29.56 ---> saved as "f0d6cc591017175257f232d095caf21dd99995c1c8db0922ad1ca1d9273006bd"


/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 ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-04-10 14:30.48 ---> saved as "3614e61d52699d7595880ffde17e2e6826660b8604c9fdeae4f7ca0992760220"


/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
2025-04-10 14:30.48 ---> saved as "2381118d33bcb149ba504e45bb760d425f476cd88fd90f73a14a62578daf7ec1"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-04-10 14:30.49 ---> saved as "84e4c4b0a97fd8474e1bb83a50616cc1d988638f22c64c12494467177896409e"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 598efb46ec7387aed249220ca6a2bc39eb4b94e9 || git fetch origin master) && git reset -q --hard 598efb46ec7387aed249220ca6a2bc39eb4b94e9 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
da74d7829f..4592800a5b  master     -> origin/master
598efb46ec Merge pull request #27716 from avsm/fix-mpopcnt


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+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)
2025-04-10 14:31.41 ---> saved as "efba870b755568a503deae9c6b96e2151d7e4880ccd00a72ee30a9e7fbe9ca49"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-04-10 14:31.41 ---> saved as "fe18e5d4bc8713844355311a7f1edeaa86a28b6650231312f5966e706edef7b6"


/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)
2025-04-10 14:32.01 ---> saved as "923637f6f9c0894a9e461e308c11128d5b8eba54b5d68f3d7a427da5d8cdfc07"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-04-10 14:32.02 ---> saved as "71cefb0d50a385066e6a7fcdc411231df102ae6777cbe548362f2afbba291cc5"


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 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 camlp-streams.5.0.1 cmdliner.1.3.0 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.3.18.0 dune-configurator.3.18.0 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 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-version.4.0.0 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.2.2.0 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 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 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 (5.2 KiB/s)]
- 
- Checking for file conflicts: [.
- .
- .done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [...done]
2025-04-10 14:33.32 ---> saved as "8171f943f27397bfd486329274ed81a8967be1d726de7207d9f1ef849c9b1862"


/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 74 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.1
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- 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                    3.18.0
- install dune-configurator       3.18.0
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- 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-version           4.0.0
- 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           2.2.0
- 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 result                  1.5
- 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 thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> installed conf-pkg-config.4
-> retrieved cmdliner.1.3.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved csexp.1.5.2  (cached)
-> installed conf-libffi.2.0.0
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved fmt.0.10.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml-version.4.0.0  (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_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved dune.3.18.0, dune-configurator.3.18.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (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 re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> retrieved result.1.5  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> installed cmdliner.1.3.0
-> installed num.1.5-1
-> installed seq.base
-> 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 thread-local-storage.0.2  (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 fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.0
-> 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 camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed re.1.12.0
-> installed cppo.1.8.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.0
-> installed mdx.2.5.0
-> 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_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.2.0
-> 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)
2025-04-10 14:35.12 ---> saved as "997d397702bde17f6ac172318bbc261dee87ee81d7be7fe354e923b34f192ba8"


/src: (copy (src .) (dst /src))
2025-04-10 14:35.12 ---> saved as "1dae913a9875f0324a75cec578e9cbba51a435ea2095f73d61a15b44a542260f"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/ea62f0f8baaa560de13124f887b20dec/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.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/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5d8aa8731ef22ee09682130a7402c9dd/default/test && .tutorials.inline-tests/inline-test-runner.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/5d8aa8731ef22ee09682130a7402c9dd/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=0.199250, batch loss=0.850854, epoch loss=35.616485
Batch=299, step=300, lr=0.199000, batch loss=1.448342, epoch loss=37.064827
Batch=359, step=360, lr=0.198750, batch loss=1.335675, epoch loss=38.400502
Batch=419, step=420, lr=0.198500, batch loss=0.615054, epoch loss=39.015555
Batch=479, step=480, lr=0.198250, batch loss=0.811093, epoch loss=39.826648
Batch=539, step=540, lr=0.198000, batch loss=0.709001, epoch loss=40.535650
Batch=599, step=600, lr=0.197750, batch loss=1.069497, epoch loss=41.605147
Batch=659, step=660, lr=0.197500, batch loss=0.482371, epoch loss=42.087518
Batch=719, step=720, lr=0.197250, batch loss=0.411152, epoch loss=42.498670
Batch=779, step=780, lr=0.197000, batch loss=0.469318, epoch loss=42.967987
Batch=839, step=840, lr=0.196750, batch loss=0.443866, epoch loss=43.411853
Batch=899, step=900, lr=0.196500, batch loss=0.383038, epoch loss=43.794891
Batch=959, step=960, lr=0.196250, batch loss=0.241851, epoch loss=44.036742
Batch=1019, step=1020, lr=0.196000, batch loss=0.451872, epoch loss=44.488614
Batch=1079, step=1080, lr=0.195750, batch loss=0.259300, epoch loss=44.747914
Batch=1139, step=1140, lr=0.195500, batch loss=0.339337, epoch loss=45.087252
Batch=1199, step=1200, lr=0.195250, batch loss=0.261345, epoch loss=45.348596
Epoch=0, step=1200, lr=0.195250, epoch loss=45.348596
Batch=59, step=1260, lr=0.195000, batch loss=0.260647, epoch loss=0.260647
Batch=119, step=1320, lr=0.194750, batch loss=0.202927, epoch loss=0.463574
Batch=179, step=1380, lr=0.194500, batch loss=0.244098, epoch loss=0.707672
Batch=239, step=1440, lr=0.194250, batch loss=0.348212, epoch loss=1.055884
Batch=299, step=1500, lr=0.194000, batch loss=0.239127, epoch loss=1.295010
Batch=359, step=1560, lr=0.193750, batch loss=0.318879, epoch loss=1.613890
Batch=419, step=1620, lr=0.193500, batch loss=0.311578, epoch loss=1.925467
Batch=479, step=1680, lr=0.193250, batch loss=0.276006, epoch loss=2.201474
Batch=539, step=1740, lr=0.193000, batch loss=0.211755, epoch loss=2.413229
Batch=599, step=1800, lr=0.192750, batch loss=0.259422, epoch loss=2.672651
Batch=659, step=1860, lr=0.192500, batch loss=0.368330, epoch loss=3.040981
Batch=719, step=1920, lr=0.192250, batch loss=0.365700, epoch loss=3.406681
Batch=779, step=1980, lr=0.192000, batch loss=0.381135, epoch loss=3.787816
Batch=839, step=2040, lr=0.191750, batch loss=0.340804, epoch loss=4.128620
Batch=899, step=2100, lr=0.191500, batch loss=0.295385, epoch loss=4.424005
Batch=959, step=2160, lr=0.191250, batch loss=0.216244, epoch loss=4.640249
Batch=1019, step=2220, lr=0.191000, batch loss=0.326969, epoch loss=4.967218
Batch=1079, step=2280, lr=0.190750, batch loss=0.193955, epoch loss=5.161173
Batch=1139, step=2340, lr=0.190500, batch loss=0.255686, epoch loss=5.416859
Batch=1199, step=2400, lr=0.190250, batch loss=0.210628, epoch loss=5.627487
Epoch=1, step=2400, lr=0.190250, epoch loss=5.627487
Batch=59, step=2460, lr=0.190000, batch loss=0.229884, epoch loss=0.229884
Batch=119, step=2520, lr=0.189750, batch loss=0.197721, epoch loss=0.427605
Batch=179, step=2580, lr=0.189500, batch loss=0.219336, epoch loss=0.646941
Batch=239, step=2640, lr=0.189250, batch loss=0.326825, epoch loss=0.973766
Batch=299, step=2700, lr=0.189000, batch loss=0.206307, epoch loss=1.180073
Batch=359, step=2760, lr=0.188750, batch loss=0.290837, epoch loss=1.470910
Batch=419, step=2820, lr=0.188500, batch loss=0.280316, epoch loss=1.751225
Batch=479, step=2880, lr=0.188250, batch loss=0.254706, epoch loss=2.005931
Batch=539, step=2940, lr=0.188000, batch loss=0.195900, epoch loss=2.201831
Batch=599, step=3000, lr=0.187750, batch loss=0.241166, epoch loss=2.442997
Batch=659, step=3060, lr=0.187500, batch loss=0.346202, epoch loss=2.789199
Batch=719, step=3120, lr=0.187000, batch loss=0.346786, epoch loss=3.135985
Batch=779, step=3180, lr=0.187000, batch loss=0.364790, epoch loss=3.500776
Batch=839, step=3240, lr=0.186500, batch loss=0.323074, epoch loss=3.823849
Batch=899, step=3300, lr=0.186250, batch loss=0.289934, epoch loss=4.113783
Batch=959, step=3360, lr=0.186000, batch loss=0.222169, epoch loss=4.335952
Batch=1019, step=3420, lr=0.186000, batch loss=0.348638, epoch loss=4.684590
Batch=1079, step=3480, lr=0.185750, batch loss=0.222274, epoch loss=4.906864
Batch=1139, step=3540, lr=0.185250, batch loss=0.268156, epoch loss=5.175020
Batch=1199, step=3600, lr=0.185000, batch loss=0.201106, epoch loss=5.376126
Epoch=2, step=3600, lr=0.185000, epoch loss=5.376126
Batch=59, step=3660, lr=0.184750, batch loss=0.224757, epoch loss=0.224757
Batch=119, step=3720, lr=0.184500, batch loss=0.183387, epoch loss=0.408143
Batch=179, step=3780, lr=0.184250, batch loss=0.212801, epoch loss=0.620944
Batch=239, step=3840, lr=0.184000, batch loss=0.321354, epoch loss=0.942298
Batch=299, step=3900, lr=0.183750, batch loss=0.212066, epoch loss=1.154364
Batch=359, step=3960, lr=0.183500, batch loss=0.293957, epoch loss=1.448321
Batch=419, step=4020, lr=0.183500, batch loss=0.300592, epoch loss=1.748914
Batch=479, step=4080, lr=0.183250, batch loss=0.258727, epoch loss=2.007641
Batch=539, step=4140, lr=0.182750, batch loss=0.195564, epoch loss=2.203204
Batch=599, step=4200, lr=0.182500, batch loss=0.229102, epoch loss=2.432307
Batch=659, step=4260, lr=0.182500, batch loss=0.331268, epoch loss=2.763575
Batch=719, step=4320, lr=0.182250, batch loss=0.346116, epoch loss=3.109690
Batch=779, step=4380, lr=0.182000, batch loss=0.347408, epoch loss=3.457098
Batch=839, step=4440, lr=0.181750, batch loss=0.317708, epoch loss=3.774806
Batch=899, step=4500, lr=0.181250, batch loss=0.286168, epoch loss=4.060975
Batch=959, step=4560, lr=0.181250, batch loss=0.238645, epoch loss=4.299619
Batch=1019, step=4620, lr=0.181000, batch loss=0.330803, epoch loss=4.630423
Batch=1079, step=4680, lr=0.180750, batch loss=0.197140, epoch loss=4.827563
Batch=1139, step=4740, lr=0.180250, batch loss=0.227965, epoch loss=5.055528
Batch=1199, step=4800, lr=0.180250, batch loss=0.193200, epoch loss=5.248728
Epoch=3, step=4800, lr=0.180250, epoch loss=5.248728
Batch=59, step=4860, lr=0.180000, batch loss=0.235435, epoch loss=0.235435
Batch=119, step=4920, lr=0.179750, batch loss=0.194056, epoch loss=0.429491
Batch=179, step=4980, lr=0.179500, batch loss=0.206269, epoch loss=0.635760
Batch=239, step=5040, lr=0.179250, batch loss=0.307651, epoch loss=0.943410
Batch=299, step=5100, lr=0.179000, batch loss=0.207160, epoch loss=1.150571
Batch=359, step=5160, lr=0.178750, batch loss=0.274934, epoch loss=1.425504
Batch=419, step=5220, lr=0.178500, batch loss=0.269131, epoch loss=1.694635
Batch=479, step=5280, lr=0.178250, batch loss=0.246721, epoch loss=1.941356
Batch=539, step=5340, lr=0.178000, batch loss=0.193341, epoch loss=2.134697
Batch=599, step=5400, lr=0.177750, batch loss=0.228712, epoch loss=2.363410
Batch=659, step=5460, lr=0.177500, batch loss=0.326489, epoch loss=2.689899
Batch=719, step=5520, lr=0.177250, batch loss=0.332992, epoch loss=3.022891
Batch=779, step=5580, lr=0.177000, batch loss=0.343712, epoch loss=3.366603
Batch=839, step=5640, lr=0.176750, batch loss=0.309173, epoch loss=3.675776
Batch=899, step=5700, lr=0.176500, batch loss=0.272066, epoch loss=3.947841
Batch=959, step=5760, lr=0.176250, batch loss=0.216081, epoch loss=4.163922
Batch=1019, step=5820, lr=0.176000, batch loss=0.333292, epoch loss=4.497215
Batch=1079, step=5880, lr=0.175750, batch loss=0.188386, epoch loss=4.685601
Batch=1139, step=5940, lr=0.175500, batch loss=0.221952, epoch loss=4.907552
Batch=1199, step=6000, lr=0.175250, batch loss=0.187436, epoch loss=5.094988
Epoch=4, step=6000, lr=0.175250, epoch loss=5.094988
Batch=59, step=6060, lr=0.175000, batch loss=0.230851, epoch loss=0.230851
Batch=119, step=6120, lr=0.174750, batch loss=0.194893, epoch loss=0.425745
Batch=179, step=6180, lr=0.174500, batch loss=0.201090, epoch loss=0.626834
Batch=239, step=6240, lr=0.174250, batch loss=0.302662, epoch loss=0.929496
Batch=299, step=6300, lr=0.174000, batch loss=0.210607, epoch loss=1.140103
Batch=359, step=6360, lr=0.173750, batch loss=0.271627, epoch loss=1.411730
Batch=419, step=6420, lr=0.173500, batch loss=0.264260, epoch loss=1.675990
Batch=479, step=6480, lr=0.173250, batch loss=0.245979, epoch loss=1.921969
Batch=539, step=6540, lr=0.173000, batch loss=0.191199, epoch loss=2.113168
Batch=599, step=6600, lr=0.172750, batch loss=0.231879, epoch loss=2.345047
Batch=659, step=6660, lr=0.172500, batch loss=0.314748, epoch loss=2.659795
Batch=719, step=6720, lr=0.172250, batch loss=0.316970, epoch loss=2.976765
Batch=779, step=6780, lr=0.172000, batch loss=0.331607, epoch loss=3.308372
Batch=839, step=6840, lr=0.171750, batch loss=0.305042, epoch loss=3.613414
Batch=899, step=6900, lr=0.171500, batch loss=0.267146, epoch loss=3.880561
Batch=959, step=6960, lr=0.171250, batch loss=0.214591, epoch loss=4.095151
Batch=1019, step=7020, lr=0.171000, batch loss=0.320752, epoch loss=4.415903
Batch=1079, step=7080, lr=0.170750, batch loss=0.179048, epoch loss=4.594951
Batch=1139, step=7140, lr=0.170500, batch loss=0.214230, epoch loss=4.809181
Batch=1199, step=7200, lr=0.170250, batch loss=0.183832, epoch loss=4.993013
Epoch=5, step=7200, lr=0.170250, epoch loss=4.993013
Batch=59, step=7260, lr=0.170000, batch loss=0.239200, epoch loss=0.239200
Batch=119, step=7320, lr=0.169750, batch loss=0.180744, epoch loss=0.419943
Batch=179, step=7380, lr=0.169500, batch loss=0.195357, epoch loss=0.615300
Batch=239, step=7440, lr=0.169250, batch loss=0.291364, epoch loss=0.906664
Batch=299, step=7500, lr=0.169000, batch loss=0.208372, epoch loss=1.115036
Batch=359, step=7560, lr=0.168750, batch loss=0.263155, epoch loss=1.378192
Batch=419, step=7620, lr=0.168500, batch loss=0.253987, epoch loss=1.632179
Batch=479, step=7680, lr=0.168250, batch loss=0.234017, epoch loss=1.866195
Batch=539, step=7740, lr=0.168000, batch loss=0.192272, epoch loss=2.058467
Batch=599, step=7800, lr=0.167750, batch loss=0.227718, epoch loss=2.286185
Batch=659, step=7860, lr=0.167250, batch loss=0.306025, epoch loss=2.592210
Batch=719, step=7920, lr=0.167000, batch loss=0.309637, epoch loss=2.901847
Batch=779, step=7980, lr=0.167000, batch loss=0.329678, epoch loss=3.231525
Batch=839, step=8040, lr=0.166750, batch loss=0.291865, epoch loss=3.523389
Batch=899, step=8100, lr=0.166500, batch loss=0.263750, epoch loss=3.787140
Batch=959, step=8160, lr=0.166250, batch loss=0.204894, epoch loss=3.992034
Batch=1019, step=8220, lr=0.166000, batch loss=0.316750, epoch loss=4.308784
Batch=1079, step=8280, lr=0.165750, batch loss=0.170098, epoch loss=4.478882
Batch=1139, step=8340, lr=0.165250, batch loss=0.207549, epoch loss=4.686431
Batch=1199, step=8400, lr=0.165250, batch loss=0.180155, epoch loss=4.866586
Epoch=6, step=8400, lr=0.165250, epoch loss=4.866586
Batch=59, step=8460, lr=0.165000, batch loss=0.227601, epoch loss=0.227601
Batch=119, step=8520, lr=0.164750, batch loss=0.176295, epoch loss=0.403897
Batch=179, step=8580, lr=0.164500, batch loss=0.188224, epoch loss=0.592121
Batch=239, step=8640, lr=0.164000, batch loss=0.281801, epoch loss=0.873922
Batch=299, step=8700, lr=0.163750, batch loss=0.195534, epoch loss=1.069456
Batch=359, step=8760, lr=0.163750, batch loss=0.254017, epoch loss=1.323473
Batch=419, step=8820, lr=0.163500, batch loss=0.246954, epoch loss=1.570427
Batch=479, step=8880, lr=0.163000, batch loss=0.228841, epoch loss=1.799268
Batch=539, step=8940, lr=0.163000, batch loss=0.179768, epoch loss=1.979036
Batch=599, step=9000, lr=0.162750, batch loss=0.217917, epoch loss=2.196952
Batch=659, step=9060, lr=0.162500, batch loss=0.293580, epoch loss=2.490533
Batch=719, step=9120, lr=0.162000, batch loss=0.295809, epoch loss=2.786341
Batch=779, step=9180, lr=0.161750, batch loss=0.314714, epoch loss=3.101055
Batch=839, step=9240, lr=0.161500, batch loss=0.285966, epoch loss=3.387022
Batch=899, step=9300, lr=0.161500, batch loss=0.252877, epoch loss=3.639899
Batch=959, step=9360, lr=0.161250, batch loss=0.187289, epoch loss=3.827188
Batch=1019, step=9420, lr=0.161000, batch loss=0.314820, epoch loss=4.142008
Batch=1079, step=9480, lr=0.160750, batch loss=0.190040, epoch loss=4.332048
Batch=1139, step=9540, lr=0.160500, batch loss=0.211451, epoch loss=4.543499
Batch=1199, step=9600, lr=0.160250, batch loss=0.167194, epoch loss=4.710693
Epoch=7, step=9600, lr=0.160250, epoch loss=4.710693
Batch=59, step=9660, lr=0.160000, batch loss=0.201191, epoch loss=0.201191
Batch=119, step=9720, lr=0.159750, batch loss=0.164730, epoch loss=0.365921
Batch=179, step=9780, lr=0.159500, batch loss=0.179137, epoch loss=0.545058
Batch=239, step=9840, lr=0.159250, batch loss=0.264449, epoch loss=0.809507
Batch=299, step=9900, lr=0.159000, batch loss=0.181584, epoch loss=0.991091
Batch=359, step=9960, lr=0.158750, batch loss=0.241845, epoch loss=1.232936
Batch=419, step=10020, lr=0.158500, batch loss=0.233452, epoch loss=1.466388
Batch=479, step=10080, lr=0.158250, batch loss=0.213580, epoch loss=1.679968
Batch=539, step=10140, lr=0.158000, batch loss=0.171878, epoch loss=1.851846
Batch=599, step=10200, lr=0.157750, batch loss=0.201553, epoch loss=2.053399
Batch=659, step=10260, lr=0.157500, batch loss=0.282387, epoch loss=2.335786
Batch=719, step=10320, lr=0.157250, batch loss=0.286810, epoch loss=2.622596
Batch=779, step=10380, lr=0.157000, batch loss=0.292705, epoch loss=2.915301
Batch=839, step=10440, lr=0.156750, batch loss=0.267871, epoch loss=3.183173
Batch=899, step=10500, lr=0.156500, batch loss=0.244554, epoch loss=3.427726
Batch=959, step=10560, lr=0.156250, batch loss=0.195014, epoch loss=3.622741
Batch=1019, step=10620, lr=0.156000, batch loss=0.281070, epoch loss=3.903811
Batch=1079, step=10680, lr=0.155750, batch loss=0.168579, epoch loss=4.072390
Batch=1139, step=10740, lr=0.155500, batch loss=0.194183, epoch loss=4.266573
Batch=1199, step=10800, lr=0.155250, batch loss=0.154695, epoch loss=4.421268
Epoch=8, step=10800, lr=0.155250, epoch loss=4.421268
Batch=59, step=10860, lr=0.155000, batch loss=0.175644, epoch loss=0.175644
Batch=119, step=10920, lr=0.154750, batch loss=0.146990, epoch loss=0.322634
Batch=179, step=10980, lr=0.154500, batch loss=0.165828, epoch loss=0.488462
Batch=239, step=11040, lr=0.154250, batch loss=0.242609, epoch loss=0.731071
Batch=299, step=11100, lr=0.154000, batch loss=0.169366, epoch loss=0.900437
Batch=359, step=11160, lr=0.153750, batch loss=0.223746, epoch loss=1.124183
Batch=419, step=11220, lr=0.153500, batch loss=0.229218, epoch loss=1.353401
Batch=479, step=11280, lr=0.153250, batch loss=0.203560, epoch loss=1.556960
Batch=539, step=11340, lr=0.153000, batch loss=0.160643, epoch loss=1.717604
Batch=599, step=11400, lr=0.152750, batch loss=0.185814, epoch loss=1.903418
Batch=659, step=11460, lr=0.152500, batch loss=0.261558, epoch loss=2.164976
Batch=719, step=11520, lr=0.152250, batch loss=0.258222, epoch loss=2.423198
Batch=779, step=11580, lr=0.152000, batch loss=0.270095, epoch loss=2.693293
Batch=839, step=11640, lr=0.151750, batch loss=0.258294, epoch loss=2.951587
Batch=899, step=11700, lr=0.151500, batch loss=0.231351, epoch loss=3.182938
Batch=959, step=11760, lr=0.151250, batch loss=0.172858, epoch loss=3.355796
Batch=1019, step=11820, lr=0.151000, batch loss=0.260031, epoch loss=3.615826
Batch=1079, step=11880, lr=0.150750, batch loss=0.137487, epoch loss=3.753313
Batch=1139, step=11940, lr=0.150500, batch loss=0.162981, epoch loss=3.916294
Batch=1199, step=12000, lr=0.150250, batch loss=0.139359, epoch loss=4.055653
Epoch=9, step=12000, lr=0.150250, epoch loss=4.055653
Batch=59, step=12060, lr=0.150000, batch loss=0.163563, epoch loss=0.163563
Batch=119, step=12120, lr=0.149750, batch loss=0.143759, epoch loss=0.307322
Batch=179, step=12180, lr=0.149500, batch loss=0.149670, epoch loss=0.456993
Batch=239, step=12240, lr=0.149250, batch loss=0.217279, epoch loss=0.674271
Batch=299, step=12300, lr=0.149000, batch loss=0.147114, epoch loss=0.821386
Batch=359, step=12360, lr=0.148750, batch loss=0.195558, epoch loss=1.016944
Batch=419, step=12420, lr=0.148500, batch loss=0.208043, epoch loss=1.224987
Batch=479, step=12480, lr=0.148250, batch loss=0.179332, epoch loss=1.404319
Batch=539, step=12540, lr=0.148000, batch loss=0.143781, epoch loss=1.548100
Batch=599, step=12600, lr=0.147750, batch loss=0.154788, epoch loss=1.702888
Batch=659, step=12660, lr=0.147500, batch loss=0.234455, epoch loss=1.937343
Batch=719, step=12720, lr=0.147250, batch loss=0.236238, epoch loss=2.173581
Batch=779, step=12780, lr=0.147000, batch loss=0.254000, epoch loss=2.427581
Batch=839, step=12840, lr=0.146750, batch loss=0.223600, epoch loss=2.651182
Batch=899, step=12900, lr=0.146500, batch loss=0.188667, epoch loss=2.839849
Batch=959, step=12960, lr=0.146250, batch loss=0.168261, epoch loss=3.008110
Batch=1019, step=13020, lr=0.145750, batch loss=0.273256, epoch loss=3.281366
Batch=1079, step=13080, lr=0.145750, batch loss=0.121958, epoch loss=3.403323
Batch=1139, step=13140, lr=0.145500, batch loss=0.162196, epoch loss=3.565520
Batch=1199, step=13200, lr=0.145250, batch loss=0.120585, epoch loss=3.686105
Epoch=10, step=13200, lr=0.145250, epoch loss=3.686105
Batch=59, step=13260, lr=0.145000, batch loss=0.139238, epoch loss=0.139238
Batch=119, step=13320, lr=0.144750, batch loss=0.116595, epoch loss=0.255833
Batch=179, step=13380, lr=0.144500, batch loss=0.128906, epoch loss=0.384738
Batch=239, step=13440, lr=0.144250, batch loss=0.188932, epoch loss=0.573670
Batch=299, step=13500, lr=0.144000, batch loss=0.116891, epoch loss=0.690561
Batch=359, step=13560, lr=0.143750, batch loss=0.160351, epoch loss=0.850912
Batch=419, step=13620, lr=0.143500, batch loss=0.162948, epoch loss=1.013860
Batch=479, step=13680, lr=0.143250, batch loss=0.147409, epoch loss=1.161270
Batch=539, step=13740, lr=0.143000, batch loss=0.120039, epoch loss=1.281308
Batch=599, step=13800, lr=0.142750, batch loss=0.121534, epoch loss=1.402842
Batch=659, step=13860, lr=0.142500, batch loss=0.177708, epoch loss=1.580550
Batch=719, step=13920, lr=0.142250, batch loss=0.172724, epoch loss=1.753274
Batch=779, step=13980, lr=0.142000, batch loss=0.181107, epoch loss=1.934381
Batch=839, step=14040, lr=0.141750, batch loss=0.202843, epoch loss=2.137224
Batch=899, step=14100, lr=0.141500, batch loss=0.216120, epoch loss=2.353344
Batch=959, step=14160, lr=0.141250, batch loss=0.107870, epoch loss=2.461214
Batch=1019, step=14220, lr=0.141000, batch loss=0.191244, epoch loss=2.652457
Batch=1079, step=14280, lr=0.140750, batch loss=0.084973, epoch loss=2.737431
Batch=1139, step=14340, lr=0.140500, batch loss=0.143721, epoch loss=2.881152
Batch=1199, step=14400, lr=0.140250, batch loss=0.089924, epoch loss=2.971076
Epoch=11, step=14400, lr=0.140250, epoch loss=2.971076
Batch=59, step=14460, lr=0.140000, batch loss=0.104867, epoch loss=0.104867
Batch=119, step=14520, lr=0.139750, batch loss=0.101581, epoch loss=0.206449
Batch=179, step=14580, lr=0.139500, batch loss=0.101465, epoch loss=0.307914
Batch=239, step=14640, lr=0.139250, batch loss=0.143581, epoch loss=0.451495
Batch=299, step=14700, lr=0.139000, batch loss=0.076612, epoch loss=0.528107
Batch=359, step=14760, lr=0.138750, batch loss=0.122844, epoch loss=0.650951
Batch=419, step=14820, lr=0.138500, batch loss=0.130469, epoch loss=0.781419
Batch=479, step=14880, lr=0.138250, batch loss=0.105468, epoch loss=0.886888
Batch=539, step=14940, lr=0.138000, batch loss=0.110859, epoch loss=0.997747
Batch=599, step=15000, lr=0.137750, batch loss=0.084806, epoch loss=1.082553
Batch=659, step=15060, lr=0.137500, batch loss=0.129351, epoch loss=1.211904
Batch=719, step=15120, lr=0.137250, batch loss=0.128594, epoch loss=1.340498
Batch=779, step=15180, lr=0.137000, batch loss=0.155386, epoch loss=1.495884
Batch=839, step=15240, lr=0.136750, batch loss=0.168828, epoch loss=1.664712
Batch=899, step=15300, lr=0.136500, batch loss=0.299607, epoch loss=1.964319
Batch=959, step=15360, lr=0.136250, batch loss=0.057320, epoch loss=2.021639
Batch=1019, step=15420, lr=0.136000, batch loss=0.142701, epoch loss=2.164340
Batch=1079, step=15480, lr=0.135750, batch loss=0.042468, epoch loss=2.206808
Batch=1139, step=15540, lr=0.135500, batch loss=0.097160, epoch loss=2.303968
Batch=1199, step=15600, lr=0.135250, batch loss=0.061968, epoch loss=2.365936
Epoch=12, step=15600, lr=0.135250, epoch loss=2.365936
Batch=59, step=15660, lr=0.135000, batch loss=0.086468, epoch loss=0.086468
Batch=119, step=15720, lr=0.134750, batch loss=0.138383, epoch loss=0.224851
Batch=179, step=15780, lr=0.134250, batch loss=0.100931, epoch loss=0.325782
Batch=239, step=15840, lr=0.134250, batch loss=0.100908, epoch loss=0.426691
Batch=299, step=15900, lr=0.134000, batch loss=0.044751, epoch loss=0.471442
Batch=359, step=15960, lr=0.133750, batch loss=0.083937, epoch loss=0.555379
Batch=419, step=16020, lr=0.133500, batch loss=0.079303, epoch loss=0.634682
Batch=479, step=16080, lr=0.133250, batch loss=0.056920, epoch loss=0.691601
Batch=539, step=16140, lr=0.132750, batch loss=0.075434, epoch loss=0.767035
Batch=599, step=16200, lr=0.132750, batch loss=0.168144, epoch loss=0.935179
Batch=659, step=16260, lr=0.132500, batch loss=0.098031, epoch loss=1.033210
Batch=719, step=16320, lr=0.132000, batch loss=0.130354, epoch loss=1.163564
Batch=779, step=16380, lr=0.132000, batch loss=0.273877, epoch loss=1.437441
Batch=839, step=16440, lr=0.131750, batch loss=0.091638, epoch loss=1.529079
Batch=899, step=16500, lr=0.131500, batch loss=0.075831, epoch loss=1.604910
Batch=959, step=16560, lr=0.131250, batch loss=0.033007, epoch loss=1.637917
Batch=1019, step=16620, lr=0.131000, batch loss=0.068988, epoch loss=1.706905
Batch=1079, step=16680, lr=0.130500, batch loss=0.048108, epoch loss=1.755012
Batch=1139, step=16740, lr=0.130250, batch loss=0.079247, epoch loss=1.834259
Batch=1199, step=16800, lr=0.130250, batch loss=0.035302, epoch loss=1.869561
Epoch=13, step=16800, lr=0.130250, epoch loss=1.869561
Batch=59, step=16860, lr=0.129750, batch loss=0.037371, epoch loss=0.037371
Batch=119, step=16920, lr=0.129750, batch loss=0.040492, epoch loss=0.077863
Batch=179, step=16980, lr=0.129250, batch loss=0.044619, epoch loss=0.122482
Batch=239, step=17040, lr=0.129000, batch loss=0.061225, epoch loss=0.183707
Batch=299, step=17100, lr=0.128750, batch loss=0.024725, epoch loss=0.208432
Batch=359, step=17160, lr=0.128750, batch loss=0.055808, epoch loss=0.264239
Batch=419, step=17220, lr=0.128250, batch loss=0.091437, epoch loss=0.355676
Batch=479, step=17280, lr=0.128000, batch loss=0.025082, epoch loss=0.380758
Batch=539, step=17340, lr=0.127750, batch loss=0.027584, epoch loss=0.408342
Batch=599, step=17400, lr=0.127500, batch loss=0.039267, epoch loss=0.447609
Batch=659, step=17460, lr=0.127500, batch loss=0.054909, epoch loss=0.502517
Batch=719, step=17520, lr=0.127000, batch loss=0.056259, epoch loss=0.558777
Batch=779, step=17580, lr=0.127000, batch loss=0.066668, epoch loss=0.625445
Batch=839, step=17640, lr=0.126750, batch loss=0.099408, epoch loss=0.724853
Batch=899, step=17700, lr=0.126500, batch loss=0.049286, epoch loss=0.774139
Batch=959, step=17760, lr=0.126250, batch loss=0.020333, epoch loss=0.794471
Batch=1019, step=17820, lr=0.125750, batch loss=0.048661, epoch loss=0.843132
Batch=1079, step=17880, lr=0.125750, batch loss=0.046389, epoch loss=0.889521
Batch=1139, step=17940, lr=0.125500, batch loss=0.082796, epoch loss=0.972317
Batch=1199, step=18000, lr=0.125250, batch loss=0.026951, epoch loss=0.999268
Epoch=14, step=18000, lr=0.125250, epoch loss=0.999268
Batch=59, step=18060, lr=0.125000, batch loss=0.018379, epoch loss=0.018379
Batch=119, step=18120, lr=0.124750, batch loss=0.021512, epoch loss=0.039891
Batch=179, step=18180, lr=0.124500, batch loss=0.042837, epoch loss=0.082729
Batch=239, step=18240, lr=0.124250, batch loss=0.040123, epoch loss=0.122852
Batch=299, step=18300, lr=0.124000, batch loss=0.019272, epoch loss=0.142124
Batch=359, step=18360, lr=0.123750, batch loss=0.025755, epoch loss=0.167879
Batch=419, step=18420, lr=0.123500, batch loss=0.033772, epoch loss=0.201651
Batch=479, step=18480, lr=0.123250, batch loss=0.024200, epoch loss=0.225850
Batch=539, step=18540, lr=0.123000, batch loss=0.047349, epoch loss=0.273200
Batch=599, step=18600, lr=0.122750, batch loss=0.026043, epoch loss=0.299242
Batch=659, step=18660, lr=0.122500, batch loss=0.035259, epoch loss=0.334501
Batch=719, step=18720, lr=0.122250, batch loss=0.034343, epoch loss=0.368844
Batch=779, step=18780, lr=0.122000, batch loss=0.082669, epoch loss=0.451513
Batch=839, step=18840, lr=0.121750, batch loss=0.050040, epoch loss=0.501553
Batch=899, step=18900, lr=0.121500, batch loss=0.050110, epoch loss=0.551662
Batch=959, step=18960, lr=0.121250, batch loss=0.014707, epoch loss=0.566369
Batch=1019, step=19020, lr=0.121000, batch loss=0.022806, epoch loss=0.589175
Batch=1079, step=19080, lr=0.120750, batch loss=0.010705, epoch loss=0.599880
Batch=1139, step=19140, lr=0.120500, batch loss=0.022966, epoch loss=0.622846
Batch=1199, step=19200, lr=0.120250, batch loss=0.009006, epoch loss=0.631852
Epoch=15, step=19200, lr=0.120250, epoch loss=0.631852
Batch=59, step=19260, lr=0.120000, batch loss=0.004565, epoch loss=0.004565
Batch=119, step=19320, lr=0.119750, batch loss=0.012906, epoch loss=0.017471
Batch=179, step=19380, lr=0.119500, batch loss=0.027003, epoch loss=0.044474
Batch=239, step=19440, lr=0.119250, batch loss=0.024985, epoch loss=0.069459
Batch=299, step=19500, lr=0.119000, batch loss=0.013159, epoch loss=0.082618
Batch=359, step=19560, lr=0.118750, batch loss=0.017074, epoch loss=0.099693
Batch=419, step=19620, lr=0.118500, batch loss=0.020803, epoch loss=0.120495
Batch=479, step=19680, lr=0.118250, batch loss=0.011742, epoch loss=0.132238
Batch=539, step=19740, lr=0.117750, batch loss=0.018745, epoch loss=0.150982
Batch=599, step=19800, lr=0.117750, batch loss=0.022705, epoch loss=0.173687
Batch=659, step=19860, lr=0.117500, batch loss=0.022242, epoch loss=0.195929
Batch=719, step=19920, lr=0.117250, batch loss=0.035800, epoch loss=0.231729
Batch=779, step=19980, lr=0.117000, batch loss=0.082379, epoch loss=0.314108
Batch=839, step=20040, lr=0.116750, batch loss=0.031986, epoch loss=0.346093
Batch=899, step=20100, lr=0.116500, batch loss=0.028419, epoch loss=0.374513
Batch=959, step=20160, lr=0.116250, batch loss=0.017454, epoch loss=0.391967
Batch=1019, step=20220, lr=0.116000, batch loss=0.018850, epoch loss=0.410817
Batch=1079, step=20280, lr=0.115750, batch loss=0.004352, epoch loss=0.415169
Batch=1139, step=20340, lr=0.115250, batch loss=0.016471, epoch loss=0.431640
Batch=1199, step=20400, lr=0.115250, batch loss=0.006971, epoch loss=0.438611
Epoch=16, step=20400, lr=0.115250, epoch loss=0.438611
Batch=59, step=20460, lr=0.115000, batch loss=0.003362, epoch loss=0.003362
Batch=119, step=20520, lr=0.114750, batch loss=0.009658, epoch loss=0.013020
Batch=179, step=20580, lr=0.114500, batch loss=0.027011, epoch loss=0.040032
Batch=239, step=20640, lr=0.114250, batch loss=0.014328, epoch loss=0.054359
Batch=299, step=20700, lr=0.114000, batch loss=0.003288, epoch loss=0.057647
Batch=359, step=20760, lr=0.113750, batch loss=0.013471, epoch loss=0.071119
Batch=419, step=20820, lr=0.113500, batch loss=0.016389, epoch loss=0.087508
Batch=479, step=20880, lr=0.113250, batch loss=0.004456, epoch loss=0.091963
Batch=539, step=20940, lr=0.113000, batch loss=0.015778, epoch loss=0.107741
Batch=599, step=21000, lr=0.112750, batch loss=0.019303, epoch loss=0.127045
Batch=659, step=21060, lr=0.112500, batch loss=0.014345, epoch loss=0.141389
Batch=719, step=21120, lr=0.112250, batch loss=0.040019, epoch loss=0.181408
Batch=779, step=21180, lr=0.112000, batch loss=0.066257, epoch loss=0.247665
Batch=839, step=21240, lr=0.111750, batch loss=0.025331, epoch loss=0.272995
Batch=899, step=21300, lr=0.111500, batch loss=0.029914, epoch loss=0.302909
Batch=959, step=21360, lr=0.111250, batch loss=0.010787, epoch loss=0.313696
Batch=1019, step=21420, lr=0.111000, batch loss=0.012554, epoch loss=0.326250
Batch=1079, step=21480, lr=0.110750, batch loss=0.001787, epoch loss=0.328038
Batch=1139, step=21540, lr=0.110500, batch loss=0.012647, epoch loss=0.340685
Batch=1199, step=21600, lr=0.110250, batch loss=0.004965, epoch loss=0.345650
Epoch=17, step=21600, lr=0.110250, epoch loss=0.345650
Batch=59, step=21660, lr=0.110000, batch loss=0.002309, epoch loss=0.002309
Batch=119, step=21720, lr=0.109750, batch loss=0.006700, epoch loss=0.009009
Batch=179, step=21780, lr=0.109500, batch loss=0.012874, epoch loss=0.021883
Batch=239, step=21840, lr=0.109250, batch loss=0.010452, epoch loss=0.032336
Batch=299, step=21900, lr=0.109000, batch loss=0.002061, epoch loss=0.034397
Batch=359, step=21960, lr=0.108750, batch loss=0.011063, epoch loss=0.045459
Batch=419, step=22020, lr=0.108500, batch loss=0.012046, epoch loss=0.057505
Batch=479, step=22080, lr=0.108250, batch loss=0.003120, epoch loss=0.060625
Batch=539, step=22140, lr=0.108000, batch loss=0.017923, epoch loss=0.078549
Batch=599, step=22200, lr=0.107750, batch loss=0.017042, epoch loss=0.095590
Batch=659, step=22260, lr=0.107500, batch loss=0.015702, epoch loss=0.111293
Batch=719, step=22320, lr=0.107250, batch loss=0.025887, epoch loss=0.137180
Batch=779, step=22380, lr=0.107000, batch loss=0.035772, epoch loss=0.172952
Batch=839, step=22440, lr=0.106750, batch loss=0.025527, epoch loss=0.198479
Batch=899, step=22500, lr=0.106250, batch loss=0.028242, epoch loss=0.226721
Batch=959, step=22560, lr=0.106250, batch loss=0.008877, epoch loss=0.235598
Batch=1019, step=22620, lr=0.105750, batch loss=0.009974, epoch loss=0.245572
Batch=1079, step=22680, lr=0.105750, batch loss=0.000985, epoch loss=0.246556
Batch=1139, step=22740, lr=0.105250, batch loss=0.010269, epoch loss=0.256825
Batch=1199, step=22800, lr=0.105250, batch loss=0.004756, epoch loss=0.261581
Epoch=18, step=22800, lr=0.105250, epoch loss=0.261581
Batch=59, step=22860, lr=0.104750, batch loss=0.001821, epoch loss=0.001821
Batch=119, step=22920, lr=0.104750, batch loss=0.005409, epoch loss=0.007231
Batch=179, step=22980, lr=0.104250, batch loss=0.010815, epoch loss=0.018046
Batch=239, step=23040, lr=0.104250, batch loss=0.009401, epoch loss=0.027447
Batch=299, step=23100, lr=0.103750, batch loss=0.011584, epoch loss=0.039031
Batch=359, step=23160, lr=0.103750, batch loss=0.011372, epoch loss=0.050403
Batch=419, step=23220, lr=0.103500, batch loss=0.010720, epoch loss=0.061122
Batch=479, step=23280, lr=0.103000, batch loss=0.002511, epoch loss=0.063633
Batch=539, step=23340, lr=0.103000, batch loss=0.018783, epoch loss=0.082416
Batch=599, step=23400, lr=0.102750, batch loss=0.014598, epoch loss=0.097014
Batch=659, step=23460, lr=0.102500, batch loss=0.013310, epoch loss=0.110325
Batch=719, step=23520, lr=0.102000, batch loss=0.012403, epoch loss=0.122728
Batch=779, step=23580, lr=0.101750, batch loss=0.022194, epoch loss=0.144922
Batch=839, step=23640, lr=0.101750, batch loss=0.027026, epoch loss=0.171947
Batch=899, step=23700, lr=0.101500, batch loss=0.022236, epoch loss=0.194184
Batch=959, step=23760, lr=0.101000, batch loss=0.009479, epoch loss=0.203663
Batch=1019, step=23820, lr=0.101000, batch loss=0.007423, epoch loss=0.211086
Batch=1079, step=23880, lr=0.100750, batch loss=0.001477, epoch loss=0.212563
Batch=1139, step=23940, lr=0.100500, batch loss=0.008611, epoch loss=0.221175
Batch=1199, step=24000, lr=0.100250, batch loss=0.004657, epoch loss=0.225832
Epoch=19, step=24000, lr=0.100250, epoch loss=0.225832


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-04-10 14:35.52 ---> saved as "80f5e4f51ef125d1fd958eb45aca018765d674a377ae39d4bf9f35054e5d1fca"
Job succeeded
2025-04-10 14:35.53: Job succeeded