opensuse-15.6-5.3_opam-2.3

2025-05-10 12:44.17: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (23c9ad3f1bd3375dd27d32b631a0eaaff8ffceb2) (linux-x86_64:opensuse-15.6-5.3_opam-2.3)
Base: ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 23c9ad3f
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
# 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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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


2025-05-10 12:44.17: Using cache hint "ahrefs/ocannl-ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600-opensuse-15.6-5.3_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-10 12:44.17: Using OBuilder spec:
((from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600)
(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 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && 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.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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"))
)


2025-05-10 12:44.17: Waiting for resource in pool OCluster
2025-05-10 12:44.17: Waiting for worker…
2025-05-10 12:44.27: Got resource from pool OCluster
Building on bremusa.ocamllabs.io
HEAD is now at 95dddcae Don't fail if ocannl_config not found
HEAD is now at 23c9ad3f experiment


(from ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600)
Unable to find image 'ocaml/opam:opensuse-15.6-ocaml-5.3@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600' locally
docker.io/ocaml/opam@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600: Pulling from ocaml/opam
dd194abb521a: Pulling fs layer
dd194abb521a: Verifying Checksum
dd194abb521a: Download complete
dd194abb521a: Pull complete
Digest: sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
Status: Downloaded newer image for ocaml/opam@sha256:36e05b425c0b04d4045c63087d07e299e176b878207d788e9abdc92f67fa4600
2025-05-10 12:44.28 ---> using "e2985c4688e78c185fe5effed79d132da1434e7bdd40f94bb99436d3b96690ce" from cache


/: (comment opensuse-15.6-5.3_opam-2.3)


/: (user (uid 1000) (gid 1000))


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-10 12:44.28 ---> using "50434b1af48c812e5b8b97b6a092abb9dd6da5001ea1c138b231ba3655932e87" from cache


/src: (run (shell "opam init --reinit -ni"))
Configuring from /home/opam/.opamrc and then from built-in defaults.
Checking for available remotes: rsync and local, git.
- you won't be able to use mercurial repositories unless you install the hg command on your system.
- you won't be able to use darcs repositories unless you install the darcs command on your system.


This development version of opam requires an update to the layout of /home/opam/.opam from version 2.0 to version 2.2, which can't be reverted.
You may want to back it up before going further.


Continue? [y/n] y
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 12:44.28 ---> using "7cefc43bb115418c0e97b1444415cc019594bb8990b6e1f2ed0a436414564ab1" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 6.8.0-55-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-10 12:44.28 ---> using "bbea99c20ed515ef2fe261fc823d093d079ef495d3a45cfaf2f85630d6f346ad" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:44.28 ---> using "42f82abd2853d50c6163e98a7ac94c7848ae533331533f1aa6d2fbe1dddc149c" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
35eb2f107a..0d013e603b  master     -> origin/master
997e4758ac Merge pull request #27839 from public-release/opam-publish-base.v0.17.2


<><> 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)
2025-05-10 12:44.28 ---> using "2415ab7306ec3082b4f1ed0abb02fca4f313d14995e38483342aed5820bf69c6" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:44.28 ---> using "8e1108dd40ba51439f6e1676c0eff290d26833fde6f7abb458c2ae9f02823372" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-10 12:44.28 ---> using "041919ec116e6235798633087982abedbfcf89babd6c39612469ed23b0e67c59" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:44.28 ---> using "2c78ae7a921eca928ad897bd88741558b89e2199c93ed4f759e5e655e2a39950" from cache


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 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.3.18.2 dune-configurator.3.18.2 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 (26.7 KiB/s)]
- 
- Checking for file conflicts: [..done]
- (1/1) Installing: libffi-devel-3.2.1.git259-10.8.x86_64 [..done]
2025-05-10 12:44.28 ---> using "95446ccb1fddec0c7becd4bbbc5ab988fb87093d0a7882566ed5e30822aa7c1b" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 74 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- 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                    3.18.2
- install dune-configurator       3.18.2
- 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 astring.0.8.5  (https://erratique.ch/software/astring/releases/astring-0.8.5.tbz)
-> retrieved angstrom.0.16.1  (https://github.com/inhabitedtype/angstrom/archive/0.16.1.tar.gz)
-> retrieved backoff.0.1.1  (https://github.com/ocaml-multicore/backoff/releases/download/0.1.1/backoff-0.1.1.tbz)
-> retrieved base.v0.17.2  (https://github.com/janestreet/base/archive/refs/tags/v0.17.2.tar.gz)
-> retrieved bigarray-compat.1.1.0  (https://github.com/mirage/bigarray-compat/releases/download/v1.1.0/bigarray-compat-1.1.0.tbz)
-> retrieved bigstringaf.0.10.0  (https://github.com/inhabitedtype/bigstringaf/archive/0.10.0.tar.gz)
-> installed conf-pkg-config.4
-> installed conf-libffi.2.0.0
-> retrieved camlp-streams.5.0.1  (https://github.com/ocaml/camlp-streams/archive/v5.0.1.tar.gz)
-> retrieved cmdliner.1.3.0  (https://erratique.ch/software/cmdliner/releases/cmdliner-1.3.0.tbz)
-> retrieved cppo.1.8.0  (https://github.com/ocaml-community/cppo/archive/v1.8.0.tar.gz)
-> retrieved csexp.1.5.2  (https://github.com/ocaml-dune/csexp/releases/download/1.5.2/csexp-1.5.2.tbz)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (https://github.com/yallop/ocaml-ctypes/archive/refs/tags/0.23.0.tar.gz)
-> retrieved fieldslib.v0.17.0  (https://github.com/janestreet/fieldslib/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved fmt.0.10.0  (https://erratique.ch/software/fmt/releases/fmt-0.10.0.tbz)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (cached)
-> retrieved jane-street-headers.v0.17.0  (https://github.com/janestreet/jane-street-headers/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved integers.0.7.0  (https://github.com/yallop/ocaml-integers/archive/0.7.0.tar.gz)
-> retrieved jst-config.v0.17.0  (https://github.com/janestreet/jst-config/archive/refs/tags/v0.17.0.tar.gz)
-> installed cmdliner.1.3.0
-> retrieved logs.0.8.0  (https://erratique.ch/software/logs/releases/logs-0.8.0.tbz)
-> retrieved mdx.2.5.0  (https://github.com/realworldocaml/mdx/releases/download/2.5.0/mdx-2.5.0.tbz)
-> retrieved mtime.2.1.0  (https://erratique.ch/software/mtime/releases/mtime-2.1.0.tbz)
-> retrieved multicore-magic.2.3.1  (https://github.com/ocaml-multicore/multicore-magic/releases/download/2.3.1/multicore-magic-2.3.1.tbz)
-> retrieved ocaml-compiler-libs.v0.17.0  (https://github.com/janestreet/ocaml-compiler-libs/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ocaml-syntax-shims.1.0.0  (https://github.com/ocaml-ppx/ocaml-syntax-shims/releases/download/1.0.0/ocaml-syntax-shims-1.0.0.tbz)
-> retrieved num.1.5-1  (https://github.com/ocaml/num/archive/v1.5.tar.gz)
-> retrieved ocaml-version.4.0.0  (https://github.com/ocurrent/ocaml-version/releases/download/v4.0.0/ocaml-version-4.0.0.tbz)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (https://github.com/janestreet/ocaml_intrinsics_kernel/archive/refs/tags/v0.17.1.tar.gz)
-> retrieved ocamlbuild.0.16.1  (https://github.com/ocaml/ocamlbuild/archive/refs/tags/0.16.1.tar.gz)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (https://github.com/janestreet/parsexp/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_assert.v0.17.0  (https://github.com/janestreet/ppx_assert/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_base.v0.17.0  (https://github.com/janestreet/ppx_base/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_derivers.1.2.1  (https://github.com/ocaml-ppx/ppx_derivers/archive/1.2.1.tar.gz)
-> retrieved ppx_cold.v0.17.0  (https://github.com/janestreet/ppx_cold/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_compare.v0.17.0  (https://github.com/janestreet/ppx_compare/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_expect.v0.17.2  (https://github.com/janestreet/ppx_expect/archive/refs/tags/v0.17.2.tar.gz)
-> retrieved ppx_enumerate.v0.17.0  (https://github.com/janestreet/ppx_enumerate/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_deriving.6.0.3  (https://github.com/ocaml-ppx/ppx_deriving/releases/download/v6.0.3/ppx_deriving-6.0.3.tbz)
-> retrieved ppx_globalize.v0.17.0  (https://github.com/janestreet/ppx_globalize/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_fields_conv.v0.17.0  (https://github.com/janestreet/ppx_fields_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_hash.v0.17.0  (https://github.com/janestreet/ppx_hash/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_here.v0.17.0  (https://github.com/janestreet/ppx_here/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_inline_test.v0.17.0  (https://github.com/janestreet/ppx_inline_test/archive/refs/tags/v0.17.0.tar.gz)
-> installed num.1.5-1
-> retrieved ppx_optcomp.v0.17.0  (https://github.com/janestreet/ppx_optcomp/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_sexp_conv.v0.17.0  (https://github.com/janestreet/ppx_sexp_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_minidebug.2.2.0  (https://github.com/lukstafi/ppx_minidebug/archive/refs/tags/2.2.0.tar.gz)
-> retrieved ppx_string.v0.17.0  (https://github.com/janestreet/ppx_string/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppx_variants_conv.v0.17.0  (https://github.com/janestreet/ppx_variants_conv/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved ppxlib_jane.v0.17.2  (https://github.com/janestreet/ppxlib_jane/archive/refs/tags/v0.17.2.tar.gz)
-> retrieved ppxlib.0.35.0  (https://github.com/ocaml-ppx/ppxlib/releases/download/0.35.0/ppxlib-0.35.0.tbz)
-> retrieved ptime.1.2.0  (https://erratique.ch/software/ptime/releases/ptime-1.2.0.tbz)
-> retrieved re.1.12.0  (https://github.com/ocaml/ocaml-re/releases/download/1.12.0/re-1.12.0.tbz)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (https://github.com/c-cube/printbox/releases/download/v0.12/printbox-0.12.tbz)
-> retrieved result.1.5  (https://github.com/janestreet/result/releases/download/1.5/result-1.5.tbz)
-> retrieved seq.base  (2 extra sources)
-> retrieved seq.base  (2 extra sources)
-> installed seq.base
-> retrieved saturn_lockfree.0.5.0  (https://github.com/ocaml-multicore/saturn/releases/download/0.5.0/saturn-0.5.0.tbz)
-> retrieved sexplib.v0.17.0  (https://github.com/janestreet/sexplib/archive/refs/tags/v0.17.0.tar.gz)
-> installed ocamlfind.1.9.8
-> retrieved sexplib0.v0.17.0  (https://github.com/janestreet/sexplib0/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved stdio.v0.17.0  (https://github.com/janestreet/stdio/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved stdlib-shims.0.3.0  (https://github.com/ocaml/stdlib-shims/releases/download/0.3.0/stdlib-shims-0.3.0.tbz)
-> retrieved topkg.1.0.8  (https://erratique.ch/software/topkg/releases/topkg-1.0.8.tbz)
-> retrieved thread-local-storage.0.2  (https://github.com/c-cube/thread-local-storage/releases/download/v0.2/thread-local-storage-0.2.tbz)
-> retrieved time_now.v0.17.0  (https://github.com/janestreet/time_now/archive/refs/tags/v0.17.0.tar.gz)
-> retrieved uutf.1.0.4  (https://erratique.ch/software/uutf/releases/uutf-1.0.4.tbz)
-> retrieved uucp.16.0.0  (https://erratique.ch/software/uucp/releases/uucp-16.0.0.tbz)
-> retrieved tyxml.4.6.0  (https://github.com/ocsigen/tyxml/releases/download/4.6.0/tyxml-4.6.0.tbz)
-> retrieved variantslib.v0.17.0  (https://github.com/janestreet/variantslib/archive/refs/tags/v0.17.0.tar.gz)
-> installed ocamlbuild.0.16.1
-> 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.3.18.2
-> 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 camlp-streams.5.0.1
-> installed cppo.1.8.0
-> installed multicore-magic.2.3.1
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed ocaml-compiler-libs.v0.17.0
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed ocaml-syntax-shims.1.0.0
-> 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.3.18.2
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> 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.v0.17.2
-> installed ctypes-foreign.0.23.0
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed 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_globalize.v0.17.0
-> installed ppx_enumerate.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)
2025-05-10 12:44.28 ---> using "1d81af7b670c73a51c7ec64ca20140022e713c3ae8a5945ed575ff4f5f4bc183" from cache


/src: (copy (src .) (dst /src))
2025-05-10 12:44.29 ---> saved as "3cec8804becb9a62ccd85d36267153273865f06117187081c310cfe64627e868"


/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/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/95263526cc324dd97520d381d02a44fd/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/52b0269b94e9c62f91e8f20e17e26263/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/52b0269b94e9c62f91e8f20e17e26263/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
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 72))))
@!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=0.199250, batch loss=2.621123, epoch loss=34.770210
Batch=239, step=240, lr=0.199250, batch loss=0.846671, epoch loss=35.616880
Batch=299, step=300, lr=0.199000, batch loss=1.456496, epoch loss=37.073377
Batch=359, step=360, lr=0.198750, batch loss=1.327391, epoch loss=38.400768
Batch=419, step=420, lr=0.198500, batch loss=0.621544, epoch loss=39.022312
Batch=479, step=480, lr=0.198250, batch loss=0.817677, epoch loss=39.839989
Batch=539, step=540, lr=0.197750, batch loss=0.698250, epoch loss=40.538239
Batch=599, step=600, lr=0.197500, batch loss=1.071420, epoch loss=41.609659
Batch=659, step=660, lr=0.197250, batch loss=0.482963, epoch loss=42.092622
Batch=719, step=720, lr=0.197000, batch loss=0.411562, epoch loss=42.504184
Batch=779, step=780, lr=0.196750, batch loss=0.469845, epoch loss=42.974029
Batch=839, step=840, lr=0.196750, batch loss=0.444557, epoch loss=43.418586
Batch=899, step=900, lr=0.196250, batch loss=0.383273, epoch loss=43.801859
Batch=959, step=960, lr=0.196250, batch loss=0.241144, epoch loss=44.043003
Batch=1019, step=1020, lr=0.196000, batch loss=0.437826, epoch loss=44.480828
Batch=1079, step=1080, lr=0.195750, batch loss=0.227496, epoch loss=44.708324
Batch=1139, step=1140, lr=0.195250, batch loss=0.313770, epoch loss=45.022094
Batch=1199, step=1200, lr=0.195000, batch loss=0.262822, epoch loss=45.284917
Epoch=0, step=1200, lr=0.195000, epoch loss=45.284917
Batch=59, step=1260, lr=0.194750, batch loss=0.262513, epoch loss=0.262513
Batch=119, step=1320, lr=0.194750, batch loss=0.210106, epoch loss=0.472619
Batch=179, step=1380, lr=0.194500, batch loss=0.244535, epoch loss=0.717154
Batch=239, step=1440, lr=0.194250, batch loss=0.351697, epoch loss=1.068851
Batch=299, step=1500, lr=0.193750, batch loss=0.238694, epoch loss=1.307545
Batch=359, step=1560, lr=0.193750, batch loss=0.311830, epoch loss=1.619375
Batch=419, step=1620, lr=0.193250, batch loss=0.308085, epoch loss=1.927460
Batch=479, step=1680, lr=0.193250, batch loss=0.275423, epoch loss=2.202883
Batch=539, step=1740, lr=0.193000, batch loss=0.210407, epoch loss=2.413290
Batch=599, step=1800, lr=0.192750, batch loss=0.255024, epoch loss=2.668314
Batch=659, step=1860, lr=0.192500, batch loss=0.371512, epoch loss=3.039826
Batch=719, step=1920, lr=0.192000, batch loss=0.361106, epoch loss=3.400932
Batch=779, step=1980, lr=0.191750, batch loss=0.382836, epoch loss=3.783768
Batch=839, step=2040, lr=0.191500, batch loss=0.341730, epoch loss=4.125498
Batch=899, step=2100, lr=0.191250, batch loss=0.306843, epoch loss=4.432340
Batch=959, step=2160, lr=0.191000, batch loss=0.237470, epoch loss=4.669810
Batch=1019, step=2220, lr=0.190750, batch loss=0.364067, epoch loss=5.033877
Batch=1079, step=2280, lr=0.190750, batch loss=0.230268, epoch loss=5.264145
Batch=1139, step=2340, lr=0.190500, batch loss=0.274154, epoch loss=5.538298
Batch=1199, step=2400, lr=0.190250, batch loss=0.217525, epoch loss=5.755823
Epoch=1, step=2400, lr=0.190250, epoch loss=5.755823
Batch=59, step=2460, lr=0.190000, batch loss=0.229686, epoch loss=0.229686
Batch=119, step=2520, lr=0.189500, batch loss=0.189096, epoch loss=0.418782
Batch=179, step=2580, lr=0.189500, batch loss=0.220291, epoch loss=0.639073
Batch=239, step=2640, lr=0.189000, batch loss=0.335640, epoch loss=0.974714
Batch=299, step=2700, lr=0.189000, batch loss=0.215330, epoch loss=1.190044
Batch=359, step=2760, lr=0.188750, batch loss=0.293392, epoch loss=1.483435
Batch=419, step=2820, lr=0.188250, batch loss=0.282877, epoch loss=1.766313
Batch=479, step=2880, lr=0.188250, batch loss=0.261668, epoch loss=2.027980
Batch=539, step=2940, lr=0.187750, batch loss=0.201522, epoch loss=2.229502
Batch=599, step=3000, lr=0.187500, batch loss=0.244420, epoch loss=2.473922
Batch=659, step=3060, lr=0.187500, batch loss=0.344432, epoch loss=2.818354
Batch=719, step=3120, lr=0.187000, batch loss=0.341375, epoch loss=3.159729
Batch=779, step=3180, lr=0.187000, batch loss=0.364788, epoch loss=3.524517
Batch=839, step=3240, lr=0.186500, batch loss=0.323643, epoch loss=3.848160
Batch=899, step=3300, lr=0.186250, batch loss=0.289473, epoch loss=4.137633
Batch=959, step=3360, lr=0.186250, batch loss=0.221190, epoch loss=4.358823
Batch=1019, step=3420, lr=0.185750, batch loss=0.345820, epoch loss=4.704644
Batch=1079, step=3480, lr=0.185500, batch loss=0.212470, epoch loss=4.917114
Batch=1139, step=3540, lr=0.185250, batch loss=0.257023, epoch loss=5.174136
Batch=1199, step=3600, lr=0.185250, batch loss=0.199321, epoch loss=5.373457
Epoch=2, step=3600, lr=0.185250, epoch loss=5.373457
Batch=59, step=3660, lr=0.185000, batch loss=0.224817, epoch loss=0.224817
Batch=119, step=3720, lr=0.184750, batch loss=0.188860, epoch loss=0.413677
Batch=179, step=3780, lr=0.184250, batch loss=0.212718, epoch loss=0.626395
Batch=239, step=3840, lr=0.184250, batch loss=0.316171, epoch loss=0.942566
Batch=299, step=3900, lr=0.183750, batch loss=0.205207, epoch loss=1.147773
Batch=359, step=3960, lr=0.183500, batch loss=0.287933, epoch loss=1.435705
Batch=419, step=4020, lr=0.183250, batch loss=0.274371, epoch loss=1.710076
Batch=479, step=4080, lr=0.183000, batch loss=0.251212, epoch loss=1.961288
Batch=539, step=4140, lr=0.183000, batch loss=0.192487, epoch loss=2.153775
Batch=599, step=4200, lr=0.182750, batch loss=0.233681, epoch loss=2.387456
Batch=659, step=4260, lr=0.182500, batch loss=0.333393, epoch loss=2.720849
Batch=719, step=4320, lr=0.182250, batch loss=0.343238, epoch loss=3.064087
Batch=779, step=4380, lr=0.181750, batch loss=0.349389, epoch loss=3.413476
Batch=839, step=4440, lr=0.181500, batch loss=0.317487, epoch loss=3.730963
Batch=899, step=4500, lr=0.181500, batch loss=0.284544, epoch loss=4.015507
Batch=959, step=4560, lr=0.181250, batch loss=0.241085, epoch loss=4.256592
Batch=1019, step=4620, lr=0.181000, batch loss=0.329940, epoch loss=4.586532
Batch=1079, step=4680, lr=0.180750, batch loss=0.197454, epoch loss=4.783985
Batch=1139, step=4740, lr=0.180250, batch loss=0.233182, epoch loss=5.017168
Batch=1199, step=4800, lr=0.180000, batch loss=0.190781, epoch loss=5.207949
Epoch=3, step=4800, lr=0.180000, epoch loss=5.207949
Batch=59, step=4860, lr=0.180000, batch loss=0.229309, epoch loss=0.229309
Batch=119, step=4920, lr=0.179500, batch loss=0.189043, epoch loss=0.418352
Batch=179, step=4980, lr=0.179500, batch loss=0.205864, epoch loss=0.624216
Batch=239, step=5040, lr=0.179000, batch loss=0.307491, epoch loss=0.931707
Batch=299, step=5100, lr=0.179000, batch loss=0.209246, epoch loss=1.140953
Batch=359, step=5160, lr=0.178500, batch loss=0.273700, epoch loss=1.414653
Batch=419, step=5220, lr=0.178250, batch loss=0.265962, epoch loss=1.680615
Batch=479, step=5280, lr=0.178000, batch loss=0.240860, epoch loss=1.921475
Batch=539, step=5340, lr=0.178000, batch loss=0.188014, epoch loss=2.109489
Batch=599, step=5400, lr=0.177500, batch loss=0.233313, epoch loss=2.342802
Batch=659, step=5460, lr=0.177250, batch loss=0.321983, epoch loss=2.664785
Batch=719, step=5520, lr=0.177000, batch loss=0.322430, epoch loss=2.987215
Batch=779, step=5580, lr=0.177000, batch loss=0.342163, epoch loss=3.329379
Batch=839, step=5640, lr=0.176500, batch loss=0.310935, epoch loss=3.640313
Batch=899, step=5700, lr=0.176500, batch loss=0.271712, epoch loss=3.912025
Batch=959, step=5760, lr=0.176250, batch loss=0.219283, epoch loss=4.131308
Batch=1019, step=5820, lr=0.176000, batch loss=0.333952, epoch loss=4.465260
Batch=1079, step=5880, lr=0.175750, batch loss=0.191634, epoch loss=4.656894
Batch=1139, step=5940, lr=0.175250, batch loss=0.224244, epoch loss=4.881139
Batch=1199, step=6000, lr=0.175250, batch loss=0.188840, epoch loss=5.069979
Epoch=4, step=6000, lr=0.175250, epoch loss=5.069979
Batch=59, step=6060, lr=0.174750, batch loss=0.234564, epoch loss=0.234564
Batch=119, step=6120, lr=0.174500, batch loss=0.191337, epoch loss=0.425901
Batch=179, step=6180, lr=0.174500, batch loss=0.201332, epoch loss=0.627233
Batch=239, step=6240, lr=0.174250, batch loss=0.299351, epoch loss=0.926584
Batch=299, step=6300, lr=0.174000, batch loss=0.197983, epoch loss=1.124567
Batch=359, step=6360, lr=0.173750, batch loss=0.265734, epoch loss=1.390300
Batch=419, step=6420, lr=0.173500, batch loss=0.258860, epoch loss=1.649160
Batch=479, step=6480, lr=0.173000, batch loss=0.235365, epoch loss=1.884525
Batch=539, step=6540, lr=0.172750, batch loss=0.189350, epoch loss=2.073876
Batch=599, step=6600, lr=0.172500, batch loss=0.224807, epoch loss=2.298682
Batch=659, step=6660, lr=0.172250, batch loss=0.316874, epoch loss=2.615557
Batch=719, step=6720, lr=0.172000, batch loss=0.314449, epoch loss=2.930006
Batch=779, step=6780, lr=0.171750, batch loss=0.334708, epoch loss=3.264714
Batch=839, step=6840, lr=0.171500, batch loss=0.302357, epoch loss=3.567071
Batch=899, step=6900, lr=0.171250, batch loss=0.269148, epoch loss=3.836219
Batch=959, step=6960, lr=0.171000, batch loss=0.208329, epoch loss=4.044548
Batch=1019, step=7020, lr=0.170750, batch loss=0.333272, epoch loss=4.377820
Batch=1079, step=7080, lr=0.170750, batch loss=0.197929, epoch loss=4.575748
Batch=1139, step=7140, lr=0.170500, batch loss=0.230081, epoch loss=4.805829
Batch=1199, step=7200, lr=0.170000, batch loss=0.180478, epoch loss=4.986308
Epoch=5, step=7200, lr=0.170000, epoch loss=4.986308
Batch=59, step=7260, lr=0.169750, batch loss=0.224304, epoch loss=0.224304
Batch=119, step=7320, lr=0.169750, batch loss=0.188967, epoch loss=0.413271
Batch=179, step=7380, lr=0.169250, batch loss=0.196342, epoch loss=0.609613
Batch=239, step=7440, lr=0.169000, batch loss=0.293791, epoch loss=0.903404
Batch=299, step=7500, lr=0.169000, batch loss=0.199575, epoch loss=1.102979
Batch=359, step=7560, lr=0.168500, batch loss=0.259995, epoch loss=1.362974
Batch=419, step=7620, lr=0.168500, batch loss=0.255566, epoch loss=1.618540
Batch=479, step=7680, lr=0.168250, batch loss=0.237696, epoch loss=1.856235
Batch=539, step=7740, lr=0.167750, batch loss=0.186411, epoch loss=2.042647
Batch=599, step=7800, lr=0.167500, batch loss=0.225723, epoch loss=2.268370
Batch=659, step=7860, lr=0.167500, batch loss=0.306797, epoch loss=2.575167
Batch=719, step=7920, lr=0.167000, batch loss=0.310455, epoch loss=2.885622
Batch=779, step=7980, lr=0.166750, batch loss=0.330839, epoch loss=3.216461
Batch=839, step=8040, lr=0.166750, batch loss=0.293139, epoch loss=3.509599
Batch=899, step=8100, lr=0.166500, batch loss=0.262391, epoch loss=3.771990
Batch=959, step=8160, lr=0.166250, batch loss=0.193726, epoch loss=3.965716
Batch=1019, step=8220, lr=0.166000, batch loss=0.302327, epoch loss=4.268043
Batch=1079, step=8280, lr=0.165750, batch loss=0.183301, epoch loss=4.451344
Batch=1139, step=8340, lr=0.165500, batch loss=0.216455, epoch loss=4.667799
Batch=1199, step=8400, lr=0.165000, batch loss=0.173492, epoch loss=4.841292
Epoch=6, step=8400, lr=0.165000, epoch loss=4.841292
Batch=59, step=8460, lr=0.164750, batch loss=0.213193, epoch loss=0.213193
Batch=119, step=8520, lr=0.164750, batch loss=0.177567, epoch loss=0.390760
Batch=179, step=8580, lr=0.164500, batch loss=0.188964, epoch loss=0.579723
Batch=239, step=8640, lr=0.164000, batch loss=0.278429, epoch loss=0.858152
Batch=299, step=8700, lr=0.163750, batch loss=0.193026, epoch loss=1.051178
Batch=359, step=8760, lr=0.163750, batch loss=0.248510, epoch loss=1.299689
Batch=419, step=8820, lr=0.163500, batch loss=0.244515, epoch loss=1.544204
Batch=479, step=8880, lr=0.163250, batch loss=0.230845, epoch loss=1.775049
Batch=539, step=8940, lr=0.163000, batch loss=0.176687, epoch loss=1.951736
Batch=599, step=9000, lr=0.162750, batch loss=0.220100, epoch loss=2.171836
Batch=659, step=9060, lr=0.162500, batch loss=0.294282, epoch loss=2.466117
Batch=719, step=9120, lr=0.162000, batch loss=0.300751, epoch loss=2.766869
Batch=779, step=9180, lr=0.162000, batch loss=0.314996, epoch loss=3.081864
Batch=839, step=9240, lr=0.161500, batch loss=0.284108, epoch loss=3.365972
Batch=899, step=9300, lr=0.161500, batch loss=0.252544, epoch loss=3.618516
Batch=959, step=9360, lr=0.161250, batch loss=0.190623, epoch loss=3.809140
Batch=1019, step=9420, lr=0.161000, batch loss=0.318093, epoch loss=4.127232
Batch=1079, step=9480, lr=0.160750, batch loss=0.186727, epoch loss=4.313960
Batch=1139, step=9540, lr=0.160500, batch loss=0.207043, epoch loss=4.521002
Batch=1199, step=9600, lr=0.160000, batch loss=0.166638, epoch loss=4.687641
Epoch=7, step=9600, lr=0.160000, epoch loss=4.687641
Batch=59, step=9660, lr=0.159750, batch loss=0.196167, epoch loss=0.196167
Batch=119, step=9720, lr=0.159500, batch loss=0.162151, epoch loss=0.358318
Batch=179, step=9780, lr=0.159500, batch loss=0.180447, epoch loss=0.538765
Batch=239, step=9840, lr=0.159250, batch loss=0.263631, epoch loss=0.802397
Batch=299, step=9900, lr=0.158750, batch loss=0.186706, epoch loss=0.989102
Batch=359, step=9960, lr=0.158500, batch loss=0.241378, epoch loss=1.230480
Batch=419, step=10020, lr=0.158250, batch loss=0.233163, epoch loss=1.463643
Batch=479, step=10080, lr=0.158000, batch loss=0.215537, epoch loss=1.679181
Batch=539, step=10140, lr=0.157750, batch loss=0.170812, epoch loss=1.849993
Batch=599, step=10200, lr=0.157750, batch loss=0.203670, epoch loss=2.053663
Batch=659, step=10260, lr=0.157500, batch loss=0.282009, epoch loss=2.335672
Batch=719, step=10320, lr=0.157000, batch loss=0.281973, epoch loss=2.617645
Batch=779, step=10380, lr=0.157000, batch loss=0.299346, epoch loss=2.916991
Batch=839, step=10440, lr=0.156750, batch loss=0.274126, epoch loss=3.191117
Batch=899, step=10500, lr=0.156250, batch loss=0.239157, epoch loss=3.430274
Batch=959, step=10560, lr=0.156250, batch loss=0.202847, epoch loss=3.633121
Batch=1019, step=10620, lr=0.156000, batch loss=0.280746, epoch loss=3.913866
Batch=1079, step=10680, lr=0.155750, batch loss=0.152550, epoch loss=4.066416
Batch=1139, step=10740, lr=0.155500, batch loss=0.184156, epoch loss=4.250572
Batch=1199, step=10800, lr=0.155000, batch loss=0.159018, epoch loss=4.409589
Epoch=8, step=10800, lr=0.155000, epoch loss=4.409589
Batch=59, step=10860, lr=0.154750, batch loss=0.198424, epoch loss=0.198424
Batch=119, step=10920, lr=0.154500, batch loss=0.160738, epoch loss=0.359162
Batch=179, step=10980, lr=0.154500, batch loss=0.167324, epoch loss=0.526486
Batch=239, step=11040, lr=0.154000, batch loss=0.245953, epoch loss=0.772439
Batch=299, step=11100, lr=0.153750, batch loss=0.167116, epoch loss=0.939555
Batch=359, step=11160, lr=0.153500, batch loss=0.225851, epoch loss=1.165406
Batch=419, step=11220, lr=0.153250, batch loss=0.227207, epoch loss=1.392613
Batch=479, step=11280, lr=0.153250, batch loss=0.207480, epoch loss=1.600092
Batch=539, step=11340, lr=0.153000, batch loss=0.158636, epoch loss=1.758728
Batch=599, step=11400, lr=0.152500, batch loss=0.184726, epoch loss=1.943455
Batch=659, step=11460, lr=0.152250, batch loss=0.262994, epoch loss=2.206449
Batch=719, step=11520, lr=0.152250, batch loss=0.260025, epoch loss=2.466474
Batch=779, step=11580, lr=0.152000, batch loss=0.271607, epoch loss=2.738080
Batch=839, step=11640, lr=0.151750, batch loss=0.253093, epoch loss=2.991174
Batch=899, step=11700, lr=0.151500, batch loss=0.219299, epoch loss=3.210473
Batch=959, step=11760, lr=0.151000, batch loss=0.163656, epoch loss=3.374129
Batch=1019, step=11820, lr=0.151000, batch loss=0.278149, epoch loss=3.652278
Batch=1079, step=11880, lr=0.150500, batch loss=0.163387, epoch loss=3.815665
Batch=1139, step=11940, lr=0.150250, batch loss=0.189227, epoch loss=4.004892
Batch=1199, step=12000, lr=0.150250, batch loss=0.141608, epoch loss=4.146499
Epoch=9, step=12000, lr=0.150250, epoch loss=4.146499
Batch=59, step=12060, lr=0.150000, batch loss=0.160223, epoch loss=0.160223
Batch=119, step=12120, lr=0.149750, batch loss=0.129817, epoch loss=0.290040
Batch=179, step=12180, lr=0.149250, batch loss=0.152688, epoch loss=0.442728
Batch=239, step=12240, lr=0.149250, batch loss=0.224708, epoch loss=0.667436
Batch=299, step=12300, lr=0.149000, batch loss=0.149675, epoch loss=0.817111
Batch=359, step=12360, lr=0.148750, batch loss=0.204328, epoch loss=1.021439
Batch=419, step=12420, lr=0.148500, batch loss=0.216737, epoch loss=1.238176
Batch=479, step=12480, lr=0.148250, batch loss=0.175276, epoch loss=1.413452
Batch=539, step=12540, lr=0.147750, batch loss=0.148708, epoch loss=1.562160
Batch=599, step=12600, lr=0.147500, batch loss=0.153914, epoch loss=1.716074
Batch=659, step=12660, lr=0.147250, batch loss=0.227549, epoch loss=1.943623
Batch=719, step=12720, lr=0.147000, batch loss=0.238623, epoch loss=2.182246
Batch=779, step=12780, lr=0.146750, batch loss=0.257345, epoch loss=2.439591
Batch=839, step=12840, lr=0.146500, batch loss=0.228519, epoch loss=2.668111
Batch=899, step=12900, lr=0.146250, batch loss=0.189544, epoch loss=2.857655
Batch=959, step=12960, lr=0.146250, batch loss=0.154379, epoch loss=3.012034
Batch=1019, step=13020, lr=0.145750, batch loss=0.266628, epoch loss=3.278661
Batch=1079, step=13080, lr=0.145500, batch loss=0.116904, epoch loss=3.395565
Batch=1139, step=13140, lr=0.145250, batch loss=0.151829, epoch loss=3.547395
Batch=1199, step=13200, lr=0.145000, batch loss=0.120040, epoch loss=3.667434
Epoch=10, step=13200, lr=0.145000, epoch loss=3.667434
Batch=59, step=13260, lr=0.144750, batch loss=0.141975, epoch loss=0.141975
Batch=119, step=13320, lr=0.144750, batch loss=0.124709, epoch loss=0.266684
Batch=179, step=13380, lr=0.144250, batch loss=0.131936, epoch loss=0.398619
Batch=239, step=13440, lr=0.144000, batch loss=0.199955, epoch loss=0.598575
Batch=299, step=13500, lr=0.143750, batch loss=0.133533, epoch loss=0.732108
Batch=359, step=13560, lr=0.143500, batch loss=0.161958, epoch loss=0.894065
Batch=419, step=13620, lr=0.143250, batch loss=0.162763, epoch loss=1.056828
Batch=479, step=13680, lr=0.143250, batch loss=0.151820, epoch loss=1.208648
Batch=539, step=13740, lr=0.142750, batch loss=0.122248, epoch loss=1.330896
Batch=599, step=13800, lr=0.142500, batch loss=0.124080, epoch loss=1.454976
Batch=659, step=13860, lr=0.142250, batch loss=0.181645, epoch loss=1.636622
Batch=719, step=13920, lr=0.142250, batch loss=0.182350, epoch loss=1.818972
Batch=779, step=13980, lr=0.142000, batch loss=0.201835, epoch loss=2.020807
Batch=839, step=14040, lr=0.141500, batch loss=0.192350, epoch loss=2.213157
Batch=899, step=14100, lr=0.141250, batch loss=0.162284, epoch loss=2.375442
Batch=959, step=14160, lr=0.141000, batch loss=0.134706, epoch loss=2.510148
Batch=1019, step=14220, lr=0.140750, batch loss=0.270801, epoch loss=2.780949
Batch=1079, step=14280, lr=0.140500, batch loss=0.087119, epoch loss=2.868068
Batch=1139, step=14340, lr=0.140500, batch loss=0.135824, epoch loss=3.003891
Batch=1199, step=14400, lr=0.140250, batch loss=0.093374, epoch loss=3.097265
Epoch=11, step=14400, lr=0.140250, epoch loss=3.097265
Batch=59, step=14460, lr=0.139750, batch loss=0.116588, epoch loss=0.116588
Batch=119, step=14520, lr=0.139500, batch loss=0.110397, epoch loss=0.226985
Batch=179, step=14580, lr=0.139250, batch loss=0.106980, epoch loss=0.333964
Batch=239, step=14640, lr=0.139250, batch loss=0.146108, epoch loss=0.480072
Batch=299, step=14700, lr=0.138750, batch loss=0.083766, epoch loss=0.563838
Batch=359, step=14760, lr=0.138500, batch loss=0.126518, epoch loss=0.690356
Batch=419, step=14820, lr=0.138250, batch loss=0.134743, epoch loss=0.825099
Batch=479, step=14880, lr=0.138000, batch loss=0.103912, epoch loss=0.929011
Batch=539, step=14940, lr=0.137750, batch loss=0.086624, epoch loss=1.015635
Batch=599, step=15000, lr=0.137500, batch loss=0.088146, epoch loss=1.103780
Batch=659, step=15060, lr=0.137250, batch loss=0.132222, epoch loss=1.236002
Batch=719, step=15120, lr=0.137250, batch loss=0.122519, epoch loss=1.358522
Batch=779, step=15180, lr=0.137000, batch loss=0.124843, epoch loss=1.483364
Batch=839, step=15240, lr=0.136750, batch loss=0.146342, epoch loss=1.629706
Batch=899, step=15300, lr=0.136250, batch loss=0.152332, epoch loss=1.782038
Batch=959, step=15360, lr=0.136000, batch loss=0.142633, epoch loss=1.924671
Batch=1019, step=15420, lr=0.135750, batch loss=0.429152, epoch loss=2.353823
Batch=1079, step=15480, lr=0.135500, batch loss=0.040433, epoch loss=2.394256
Batch=1139, step=15540, lr=0.135250, batch loss=0.080361, epoch loss=2.474617
Batch=1199, step=15600, lr=0.135000, batch loss=0.059832, epoch loss=2.534448
Epoch=12, step=15600, lr=0.135000, epoch loss=2.534448
Batch=59, step=15660, lr=0.135000, batch loss=0.089247, epoch loss=0.089247
Batch=119, step=15720, lr=0.134750, batch loss=0.097237, epoch loss=0.186484
Batch=179, step=15780, lr=0.134250, batch loss=0.091826, epoch loss=0.278310
Batch=239, step=15840, lr=0.134250, batch loss=0.100461, epoch loss=0.378771
Batch=299, step=15900, lr=0.133750, batch loss=0.041446, epoch loss=0.420217
Batch=359, step=15960, lr=0.133500, batch loss=0.079593, epoch loss=0.499810
Batch=419, step=16020, lr=0.133500, batch loss=0.082269, epoch loss=0.582079
Batch=479, step=16080, lr=0.133250, batch loss=0.059364, epoch loss=0.641444
Batch=539, step=16140, lr=0.132750, batch loss=0.075338, epoch loss=0.716781
Batch=599, step=16200, lr=0.132750, batch loss=0.155524, epoch loss=0.872305
Batch=659, step=16260, lr=0.132250, batch loss=0.097641, epoch loss=0.969947
Batch=719, step=16320, lr=0.132000, batch loss=0.135795, epoch loss=1.105742
Batch=779, step=16380, lr=0.131750, batch loss=0.272390, epoch loss=1.378132
Batch=839, step=16440, lr=0.131750, batch loss=0.092409, epoch loss=1.470541
Batch=899, step=16500, lr=0.131500, batch loss=0.076927, epoch loss=1.547468
Batch=959, step=16560, lr=0.131000, batch loss=0.036207, epoch loss=1.583675
Batch=1019, step=16620, lr=0.131000, batch loss=0.090344, epoch loss=1.674018
Batch=1079, step=16680, lr=0.130500, batch loss=0.038196, epoch loss=1.712215
Batch=1139, step=16740, lr=0.130500, batch loss=0.083154, epoch loss=1.795369
Batch=1199, step=16800, lr=0.130000, batch loss=0.039250, epoch loss=1.834618
Epoch=13, step=16800, lr=0.130000, epoch loss=1.834618
Batch=59, step=16860, lr=0.130000, batch loss=0.037820, epoch loss=0.037820
Batch=119, step=16920, lr=0.129750, batch loss=0.038890, epoch loss=0.076710
Batch=179, step=16980, lr=0.129250, batch loss=0.045458, epoch loss=0.122168
Batch=239, step=17040, lr=0.129250, batch loss=0.061287, epoch loss=0.183456
Batch=299, step=17100, lr=0.129000, batch loss=0.022910, epoch loss=0.206366
Batch=359, step=17160, lr=0.128500, batch loss=0.045032, epoch loss=0.251398
Batch=419, step=17220, lr=0.128250, batch loss=0.047579, epoch loss=0.298977
Batch=479, step=17280, lr=0.128000, batch loss=0.026421, epoch loss=0.325397
Batch=539, step=17340, lr=0.128000, batch loss=0.031442, epoch loss=0.356840
Batch=599, step=17400, lr=0.127500, batch loss=0.036481, epoch loss=0.393321
Batch=659, step=17460, lr=0.127250, batch loss=0.050234, epoch loss=0.443554
Batch=719, step=17520, lr=0.127000, batch loss=0.099575, epoch loss=0.543130
Batch=779, step=17580, lr=0.127000, batch loss=0.274288, epoch loss=0.817418
Batch=839, step=17640, lr=0.126500, batch loss=0.066895, epoch loss=0.884313
Batch=899, step=17700, lr=0.126500, batch loss=0.055267, epoch loss=0.939580
Batch=959, step=17760, lr=0.126250, batch loss=0.020243, epoch loss=0.959823
Batch=1019, step=17820, lr=0.125750, batch loss=0.045013, epoch loss=1.004836
Batch=1079, step=17880, lr=0.125500, batch loss=0.024740, epoch loss=1.029576
Batch=1139, step=17940, lr=0.125500, batch loss=0.062942, epoch loss=1.092518
Batch=1199, step=18000, lr=0.125250, batch loss=0.022929, epoch loss=1.115447
Epoch=14, step=18000, lr=0.125250, epoch loss=1.115447
Batch=59, step=18060, lr=0.125000, batch loss=0.016214, epoch loss=0.016214
Batch=119, step=18120, lr=0.124500, batch loss=0.021114, epoch loss=0.037327
Batch=179, step=18180, lr=0.124250, batch loss=0.032041, epoch loss=0.069368
Batch=239, step=18240, lr=0.124000, batch loss=0.040997, epoch loss=0.110365
Batch=299, step=18300, lr=0.123750, batch loss=0.017077, epoch loss=0.127442
Batch=359, step=18360, lr=0.123750, batch loss=0.027526, epoch loss=0.154968
Batch=419, step=18420, lr=0.123500, batch loss=0.035159, epoch loss=0.190127
Batch=479, step=18480, lr=0.123000, batch loss=0.026604, epoch loss=0.216731
Batch=539, step=18540, lr=0.123000, batch loss=0.058008, epoch loss=0.274739
Batch=599, step=18600, lr=0.122500, batch loss=0.029169, epoch loss=0.303908
Batch=659, step=18660, lr=0.122500, batch loss=0.034631, epoch loss=0.338539
Batch=719, step=18720, lr=0.122000, batch loss=0.024350, epoch loss=0.362890
Batch=779, step=18780, lr=0.122000, batch loss=0.046609, epoch loss=0.409499
Batch=839, step=18840, lr=0.121500, batch loss=0.068249, epoch loss=0.477748
Batch=899, step=18900, lr=0.121250, batch loss=0.117654, epoch loss=0.595403
Batch=959, step=18960, lr=0.121000, batch loss=0.018192, epoch loss=0.613594
Batch=1019, step=19020, lr=0.120750, batch loss=0.023196, epoch loss=0.636790
Batch=1079, step=19080, lr=0.120750, batch loss=0.007194, epoch loss=0.643983
Batch=1139, step=19140, lr=0.120250, batch loss=0.026368, epoch loss=0.670351
Batch=1199, step=19200, lr=0.120250, batch loss=0.011994, epoch loss=0.682345
Epoch=15, step=19200, lr=0.120250, epoch loss=0.682345
Batch=59, step=19260, lr=0.120000, batch loss=0.006767, epoch loss=0.006767
Batch=119, step=19320, lr=0.119750, batch loss=0.017151, epoch loss=0.023918
Batch=179, step=19380, lr=0.119500, batch loss=0.034519, epoch loss=0.058436
Batch=239, step=19440, lr=0.119250, batch loss=0.022745, epoch loss=0.081181
Batch=299, step=19500, lr=0.118750, batch loss=0.005691, epoch loss=0.086872
Batch=359, step=19560, lr=0.118750, batch loss=0.019565, epoch loss=0.106437
Batch=419, step=19620, lr=0.118250, batch loss=0.020456, epoch loss=0.126894
Batch=479, step=19680, lr=0.118000, batch loss=0.007830, epoch loss=0.134723
Batch=539, step=19740, lr=0.118000, batch loss=0.028084, epoch loss=0.162807
Batch=599, step=19800, lr=0.117500, batch loss=0.028455, epoch loss=0.191262
Batch=659, step=19860, lr=0.117500, batch loss=0.015764, epoch loss=0.207026
Batch=719, step=19920, lr=0.117250, batch loss=0.034082, epoch loss=0.241108
Batch=779, step=19980, lr=0.117000, batch loss=0.051708, epoch loss=0.292816
Batch=839, step=20040, lr=0.116500, batch loss=0.036653, epoch loss=0.329469
Batch=899, step=20100, lr=0.116500, batch loss=0.037903, epoch loss=0.367372
Batch=959, step=20160, lr=0.116250, batch loss=0.014098, epoch loss=0.381470
Batch=1019, step=20220, lr=0.115750, batch loss=0.023448, epoch loss=0.404919
Batch=1079, step=20280, lr=0.115500, batch loss=0.004333, epoch loss=0.409251
Batch=1139, step=20340, lr=0.115500, batch loss=0.016770, epoch loss=0.426021
Batch=1199, step=20400, lr=0.115000, batch loss=0.006724, epoch loss=0.432745
Epoch=16, step=20400, lr=0.115000, epoch loss=0.432745
Batch=59, step=20460, lr=0.114750, batch loss=0.003336, epoch loss=0.003336
Batch=119, step=20520, lr=0.114500, batch loss=0.011538, epoch loss=0.014874
Batch=179, step=20580, lr=0.114500, batch loss=0.026874, epoch loss=0.041748
Batch=239, step=20640, lr=0.114000, batch loss=0.015144, epoch loss=0.056892
Batch=299, step=20700, lr=0.114000, batch loss=0.003733, epoch loss=0.060624
Batch=359, step=20760, lr=0.113750, batch loss=0.014171, epoch loss=0.074796
Batch=419, step=20820, lr=0.113500, batch loss=0.017052, epoch loss=0.091848
Batch=479, step=20880, lr=0.113250, batch loss=0.004139, epoch loss=0.095987
Batch=539, step=20940, lr=0.113000, batch loss=0.016947, epoch loss=0.112934
Batch=599, step=21000, lr=0.112500, batch loss=0.018386, epoch loss=0.131321
Batch=659, step=21060, lr=0.112250, batch loss=0.014177, epoch loss=0.145497
Batch=719, step=21120, lr=0.112000, batch loss=0.029519, epoch loss=0.175017
Batch=779, step=21180, lr=0.111750, batch loss=0.046730, epoch loss=0.221746
Batch=839, step=21240, lr=0.111750, batch loss=0.029590, epoch loss=0.251337
Batch=899, step=21300, lr=0.111500, batch loss=0.034995, epoch loss=0.286332
Batch=959, step=21360, lr=0.111000, batch loss=0.010650, epoch loss=0.296981
Batch=1019, step=21420, lr=0.111000, batch loss=0.013536, epoch loss=0.310517
Batch=1079, step=21480, lr=0.110750, batch loss=0.002816, epoch loss=0.313334
Batch=1139, step=21540, lr=0.110250, batch loss=0.012091, epoch loss=0.325425
Batch=1199, step=21600, lr=0.110000, batch loss=0.005011, epoch loss=0.330436
Epoch=17, step=21600, lr=0.110000, epoch loss=0.330436
Batch=59, step=21660, lr=0.110000, batch loss=0.002432, epoch loss=0.002432
Batch=119, step=21720, lr=0.109750, batch loss=0.007597, epoch loss=0.010030
Batch=179, step=21780, lr=0.109250, batch loss=0.013147, epoch loss=0.023176
Batch=239, step=21840, lr=0.109000, batch loss=0.012832, epoch loss=0.036009
Batch=299, step=21900, lr=0.109000, batch loss=0.002387, epoch loss=0.038395
Batch=359, step=21960, lr=0.108750, batch loss=0.011680, epoch loss=0.050076
Batch=419, step=22020, lr=0.108500, batch loss=0.012474, epoch loss=0.062549
Batch=479, step=22080, lr=0.108250, batch loss=0.003728, epoch loss=0.066277
Batch=539, step=22140, lr=0.108000, batch loss=0.016272, epoch loss=0.082549
Batch=599, step=22200, lr=0.107500, batch loss=0.015992, epoch loss=0.098541
Batch=659, step=22260, lr=0.107250, batch loss=0.014042, epoch loss=0.112584
Batch=719, step=22320, lr=0.107250, batch loss=0.032491, epoch loss=0.145075
Batch=779, step=22380, lr=0.106750, batch loss=0.042776, epoch loss=0.187851
Batch=839, step=22440, lr=0.106500, batch loss=0.021068, epoch loss=0.208919
Batch=899, step=22500, lr=0.106250, batch loss=0.022039, epoch loss=0.230958
Batch=959, step=22560, lr=0.106000, batch loss=0.011461, epoch loss=0.242419
Batch=1019, step=22620, lr=0.105750, batch loss=0.009248, epoch loss=0.251667
Batch=1079, step=22680, lr=0.105750, batch loss=0.001312, epoch loss=0.252979
Batch=1139, step=22740, lr=0.105250, batch loss=0.010988, epoch loss=0.263967
Batch=1199, step=22800, lr=0.105000, batch loss=0.004364, epoch loss=0.268331
Epoch=18, step=22800, lr=0.105000, epoch loss=0.268331
Batch=59, step=22860, lr=0.105000, batch loss=0.001704, epoch loss=0.001704
Batch=119, step=22920, lr=0.104500, batch loss=0.005424, epoch loss=0.007128
Batch=179, step=22980, lr=0.104500, batch loss=0.011323, epoch loss=0.018451
Batch=239, step=23040, lr=0.104250, batch loss=0.010513, epoch loss=0.028965
Batch=299, step=23100, lr=0.104000, batch loss=0.011402, epoch loss=0.040366
Batch=359, step=23160, lr=0.103500, batch loss=0.012144, epoch loss=0.052510
Batch=419, step=23220, lr=0.103250, batch loss=0.010819, epoch loss=0.063330
Batch=479, step=23280, lr=0.103250, batch loss=0.003953, epoch loss=0.067283
Batch=539, step=23340, lr=0.103000, batch loss=0.014099, epoch loss=0.081382
Batch=599, step=23400, lr=0.102500, batch loss=0.014516, epoch loss=0.095898
Batch=659, step=23460, lr=0.102500, batch loss=0.014535, epoch loss=0.110433
Batch=719, step=23520, lr=0.102250, batch loss=0.021188, epoch loss=0.131622
Batch=779, step=23580, lr=0.101750, batch loss=0.025156, epoch loss=0.156778
Batch=839, step=23640, lr=0.101500, batch loss=0.028833, epoch loss=0.185611
Batch=899, step=23700, lr=0.101250, batch loss=0.021469, epoch loss=0.207080
Batch=959, step=23760, lr=0.101250, batch loss=0.009782, epoch loss=0.216861
Batch=1019, step=23820, lr=0.100750, batch loss=0.007591, epoch loss=0.224453
Batch=1079, step=23880, lr=0.100750, batch loss=0.001004, epoch loss=0.225457
Batch=1139, step=23940, lr=0.100500, batch loss=0.008968, epoch loss=0.234425
Batch=1199, step=24000, lr=0.100000, batch loss=0.004448, epoch loss=0.238873
Epoch=19, step=24000, lr=0.100000, epoch loss=0.238873


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
│**********************#########################*****************************************************│
│*****************#**########*######*###########*###*************************************************│
│***************#################*###################************************************************│
│************######*#################*#################**********************************************│
│**********#*#####*########*#**************##*#########*#********************************************│
│***********########*##*#******************#*****##########******************************************│
│***********###########*************************############**************************************...│
│********######*####*********************************###*###*#**********************************.....│
│*******######**##**********************************#*######*#*******************************........│
│*******##*##**##***********..........***************########*##****************************.........│
│*****#######************.......%...%%...***************#########*************************.........%.│
│******######***********.........%........***************##*#####************************......%.%.%.│
│***#########**********.........%%%.%%......*************#*#######**********************......%.%%%%.│
│****#######**********..........%%%%.........************#########********************........%%.%%.%│
│**#######************..........%%%%%%%.......**************###*###******************.........%%%%%%.│
│*##*####************...........%%%%%%%.........***********########*****************..........%%%%%%.│
│*#######************...........%%%%%%%..........************#######***************...........%%%%%%.│
│*##*####***********............%%.%%%%%...........***********####***************............%%%%%%%.│
│*#####*#***********.............%%%%%%%............**********##*###************..............%%%%%..│
│#######***********.............%.%%%%%%.............*********#######**********.............%%%%.%%..│
│#####*#**********...............%%%%%%%...............*******#######*********..............%%%%%%%%.│
│###*#*#**********...............%%%%%%%%%..............*******######*******................%%%%%%...│
│#######*********.................%%%%%%%%...............*****###*###******................%%%%%%....│
│######**********.................%%%%%%%%%................***#*###*******...............%%%%%%%%%...│
│*#*##*#********...................%%%%%%%%%%...............***######****.................%%%%%%.....│
│#****##********....................%%%%%%%%%................***###*#**................%.%%%%%%%.....│
│**************.....................%.%%%%%%...................*******..................%.%%.%%......│
│*************........................%..%%%%%%%................*****..............%.%%%%%%%%%.......│
│*************.........................%.%%%.%%%%.................**...............%%%%%%%.%.%.......│
│************............................%..%%%%..%................................%%%%%%%%..........│
│************.............................%%%%%%%%%%%........................%%..%%%%%%%%.%..........│
│***********..............................%%.%%%%%%%%..%....................%..%%%.%%%%%%%...........│
│***********.................................%%%%.%%%%%%%%...............%.%%%%%%%%%%%%.%............│
│**********...................................%%%%%%%%%%%%%%%%%%%%%%.%%%%.%%%%%%%%%%%%%..............│
│*********.....................................%%.%%%%%%%%%%%%%%%%%%%%%%.%%%%%%%%%%%.................│
│*********.........................................%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%...................│
│********.............................................%%%.%%%%%%%%%%%%%%%%%%%%%......................│
│********................................................%...%%%%.%%.%%%%..%.........................│
└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:45.30 ---> saved as "ecd6efc96e5b4f74732fcd53bd55ce0265d389ed39506decbb5955fc244fc6a7"
Job succeeded
2025-05-10 12:45.30: Job succeeded