fedora-40-5.3_opam-2.3

2025-03-21 14:48.49: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (8b6a6facd7a53c86ebd5bf1ba838d58fbe9e8480) (linux-x86_64:fedora-40-5.3_opam-2.3)
Base: ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard 8b6a6fac
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e
# fedora-40-5.3_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo dnf install -y findutils
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


END-OF-DOCKERFILE
docker build .
END-REPRO-BLOCK


2025-03-21 14:48.49: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e-fedora-40-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-21 14:48.49: Using OBuilder spec:
((from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e)
(comment fedora-40-5.3_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (network host)
(shell "sudo dnf install -y findutils"))
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 backoff.0.1.1 base.v0.17.1 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.17.2 dune-configurator.3.17.2 fieldslib.v0.17.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.1.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-03-21 14:48.49: Waiting for resource in pool OCluster
2025-03-21 14:48.50: Waiting for worker…
2025-03-21 14:49.11: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 8b6a6fac Fix bug in grad formula for recip, update tests


(from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e)
2025-03-21 14:49.54 ---> saved as "1476c452edd56a53215a301540bb2009c8d2a15dba423047d40300e18599671f"


/: (comment fedora-40-5.3_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (network host)
(shell "sudo dnf install -y findutils"))
Fedora 40 - x86_64                              203 kB/s |  27 kB     00:00
Fedora 40 - x86_64 - Updates                     99 kB/s |  12 kB     00:00
Fedora 40 - x86_64 - Updates                    4.5 MB/s | 5.8 MB     00:01
Package findutils-1:4.9.0-9.fc40.x86_64 is already installed.
Dependencies resolved.
Nothing to do.
Complete!
2025-03-21 14:50.05 ---> saved as "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 14:50.05 ---> saved as "3cf8028e21344054f79e658239efeb83a6d7aca5695c51333e87cfafa85482ca"


/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
[NOTE] The 'jobs' option was reset, its value was 39 and its new value will vary according to the current number of cores on your machine. You can restore the fixed value using:
opam option jobs=39 --global
Format upgrade done.


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[ERROR] Could not update repository "opam-repository-archive": "/usr/bin/git fetch -q" exited with code 128 "fatal: unable to access 'https://github.com/ocaml/opam-repository-archive/': Could not resolve host: github.com"
[default] synchronised from file:///home/opam/opam-repository
2025-03-21 14:51.25 ---> saved as "e8183cd9ba1a23c4d7ddb3cf8b2d2350a9e0a7713ccd1e3ac8d0c1e7fffb4080"


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-21 14:51.25 ---> saved as "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 14:51.25 ---> saved as "c4ed4798c67e57846c83ac2aba073c0c9239aa56a5e2c21f39faf8e0638895ed"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..acfb0e6e94  master     -> origin/master
4e25d0cf5f Merge pull request #27651 from lukstafi/opam-publish-ppx_minidebug.2.1.0


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


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 14:52.35 ---> saved as "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 14:52.35 ---> saved as "b3c1458d2dffc241e60bbd215faf56a55dcfb986863e21eac7f53a89b40c9287"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-21 14:52.38 ---> saved as "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 14:52.38 ---> saved as "99abe2e5638a7b6021666aebe939dd0066e9cb52eacde91026c9424c3fb52584"


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "yum" "makecache"
- Fedora 40 - x86_64                              194 kB/s |  27 kB     00:00
- Fedora 40 openh264 (From Cisco) - x86_64        6.1 kB/s | 989  B     00:00
- Fedora 40 - x86_64 - Updates                     63 kB/s |  12 kB     00:00
- Metadata cache created.


<><> 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 "yum" "install" "-y" "libffi-devel"
- Last metadata expiration check: 0:00:20 ago on Fri Mar 21 14:52:39 2025.
- Dependencies resolved.
- ================================================================================
-  Package              Architecture   Version               Repository      Size
- ================================================================================
- Installing:
-  libffi-devel         x86_64         3.4.4-7.fc40          fedora          28 k
- 
- Transaction Summary
- ================================================================================
- Install  1 Package
- 
- Total download size: 28 k
- Installed size: 33 k
- Downloading Packages:
- libffi-devel-3.4.4-7.fc40.x86_64.rpm            299 kB/s |  28 kB     00:00
- --------------------------------------------------------------------------------
- Total                                           121 kB/s |  28 kB     00:00
- Running transaction check
- Transaction check succeeded.
- Running transaction test
- Transaction test succeeded.
- Running transaction
-   Preparing        :                                                        1/1
-   Installing       : libffi-devel-3.4.4-7.fc40.x86_64                       1/1
-   Running scriptlet: libffi-devel-3.4.4-7.fc40.x86_64                       1/1
- 
- Installed:
-   libffi-devel-3.4.4-7.fc40.x86_64
- 
- Complete!
+ /usr/bin/rpm "-q" "--whatprovides" "libffi-devel"
- libffi-devel-3.4.4-7.fc40.x86_64
2025-03-21 14:53.00 ---> saved as "fc908412141f84d4618e32af5e50641ccc3c42263dd940e51e569bd85795e2a0"


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_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 dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved sexplib0.v0.17.0  (cached)
-> retrieved stdio.v0.17.0  (cached)
-> retrieved stdlib-shims.0.3.0  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed ocamlbuild.0.16.1
-> installed ocamlfind.1.9.8
-> installed topkg.1.0.8
-> installed uutf.1.0.4
-> installed mtime.2.1.0
-> installed ptime.1.2.0
-> installed dune.3.17.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed cppo.1.8.0
-> installed re.1.12.0
-> installed integers.0.7.0
-> installed saturn_lockfree.0.5.0
-> installed dune-configurator.3.17.2
-> installed parsexp.v0.17.0
-> installed bigstringaf.0.10.0
-> installed angstrom.0.16.1
-> installed sexplib.v0.17.0
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed uucp.16.0.0
-> installed base.v0.17.1
-> installed printbox-text.0.12
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed printbox-md.0.12
-> installed ctypes-foreign.0.23.0
-> 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_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-03-21 14:55.49 ---> saved as "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c"


/src: (copy (src .) (dst /src))
2025-03-21 14:55.49 ---> saved as "80c3079ea870e7922cc5d760332b2596c8261f9b2cd470cf326f91f7e0578227"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/452bc51fdabde8842f8bc446fabfad2b/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test && .tutorials.inline-tests/inline_test_runner_tutorials.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/692745e21a924c69c7e33b4c63bc7268/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.200000, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199750, batch loss=8.539634, epoch loss=32.149087
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775382
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625039
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072216
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401512
Batch=419, step=420, lr=0.198500, batch loss=0.618569, epoch loss=39.020081
Batch=479, step=480, lr=0.198250, batch loss=0.822060, epoch loss=39.842141
Batch=539, step=540, lr=0.198000, batch loss=0.690244, epoch loss=40.532385
Batch=599, step=600, lr=0.197750, batch loss=1.063878, epoch loss=41.596263
Batch=659, step=660, lr=0.197500, batch loss=0.483340, epoch loss=42.079603
Batch=719, step=720, lr=0.197250, batch loss=0.411299, epoch loss=42.490902
Batch=779, step=780, lr=0.197000, batch loss=0.470123, epoch loss=42.961024
Batch=839, step=840, lr=0.196750, batch loss=0.446661, epoch loss=43.407685
Batch=899, step=900, lr=0.196500, batch loss=0.382721, epoch loss=43.790407
Batch=959, step=960, lr=0.196250, batch loss=0.245136, epoch loss=44.035543
Batch=1019, step=1020, lr=0.196000, batch loss=0.466506, epoch loss=44.502049
Batch=1079, step=1080, lr=0.195750, batch loss=0.248781, epoch loss=44.750829
Batch=1139, step=1140, lr=0.195500, batch loss=0.317440, epoch loss=45.068269
Batch=1199, step=1200, lr=0.195250, batch loss=0.263683, epoch loss=45.331952
Epoch=0, step=1200, lr=0.195250, epoch loss=45.331952
Batch=59, step=1260, lr=0.195000, batch loss=0.262138, epoch loss=0.262138
Batch=119, step=1320, lr=0.194750, batch loss=0.205243, epoch loss=0.467381
Batch=179, step=1380, lr=0.194500, batch loss=0.243644, epoch loss=0.711025
Batch=239, step=1440, lr=0.194250, batch loss=0.347897, epoch loss=1.058921
Batch=299, step=1500, lr=0.194000, batch loss=0.247348, epoch loss=1.306269
Batch=359, step=1560, lr=0.193750, batch loss=0.316559, epoch loss=1.622828
Batch=419, step=1620, lr=0.193500, batch loss=0.312735, epoch loss=1.935563
Batch=479, step=1680, lr=0.193000, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209810, epoch loss=2.421642
Batch=599, step=1800, lr=0.192750, batch loss=0.250421, epoch loss=2.672062
Batch=659, step=1860, lr=0.192500, batch loss=0.367173, epoch loss=3.039235
Batch=719, step=1920, lr=0.192250, batch loss=0.354950, epoch loss=3.394185
Batch=779, step=1980, lr=0.192000, batch loss=0.381359, epoch loss=3.775544
Batch=839, step=2040, lr=0.191750, batch loss=0.339643, epoch loss=4.115187
Batch=899, step=2100, lr=0.191500, batch loss=0.295232, epoch loss=4.410419
Batch=959, step=2160, lr=0.191250, batch loss=0.214060, epoch loss=4.624479
Batch=1019, step=2220, lr=0.190750, batch loss=0.330923, epoch loss=4.955401
Batch=1079, step=2280, lr=0.190750, batch loss=0.208061, epoch loss=5.163462
Batch=1139, step=2340, lr=0.190500, batch loss=0.278532, epoch loss=5.441994
Batch=1199, step=2400, lr=0.190250, batch loss=0.220744, epoch loss=5.662738
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662738
Batch=59, step=2460, lr=0.190000, batch loss=0.230299, epoch loss=0.230299
Batch=119, step=2520, lr=0.189750, batch loss=0.196030, epoch loss=0.426330
Batch=179, step=2580, lr=0.189250, batch loss=0.221131, epoch loss=0.647461
Batch=239, step=2640, lr=0.189250, batch loss=0.328107, epoch loss=0.975568
Batch=299, step=2700, lr=0.189000, batch loss=0.202992, epoch loss=1.178560
Batch=359, step=2760, lr=0.188750, batch loss=0.289853, epoch loss=1.468413
Batch=419, step=2820, lr=0.188500, batch loss=0.281797, epoch loss=1.750210
Batch=479, step=2880, lr=0.188250, batch loss=0.264782, epoch loss=2.014992
Batch=539, step=2940, lr=0.188000, batch loss=0.203877, epoch loss=2.218869
Batch=599, step=3000, lr=0.187750, batch loss=0.247989, epoch loss=2.466858
Batch=659, step=3060, lr=0.187500, batch loss=0.345121, epoch loss=2.811979
Batch=719, step=3120, lr=0.187250, batch loss=0.343475, epoch loss=3.155454
Batch=779, step=3180, lr=0.186750, batch loss=0.367055, epoch loss=3.522510
Batch=839, step=3240, lr=0.186750, batch loss=0.321747, epoch loss=3.844257
Batch=899, step=3300, lr=0.186500, batch loss=0.280274, epoch loss=4.124530
Batch=959, step=3360, lr=0.186000, batch loss=0.204674, epoch loss=4.329204
Batch=1019, step=3420, lr=0.186000, batch loss=0.319612, epoch loss=4.648817
Batch=1079, step=3480, lr=0.185500, batch loss=0.193425, epoch loss=4.842242
Batch=1139, step=3540, lr=0.185500, batch loss=0.240857, epoch loss=5.083099
Batch=1199, step=3600, lr=0.185250, batch loss=0.199343, epoch loss=5.282442
Epoch=2, step=3600, lr=0.185250, epoch loss=5.282442
Batch=59, step=3660, lr=0.185000, batch loss=0.220372, epoch loss=0.220372
Batch=119, step=3720, lr=0.184750, batch loss=0.185830, epoch loss=0.406202
Batch=179, step=3780, lr=0.184500, batch loss=0.210567, epoch loss=0.616769
Batch=239, step=3840, lr=0.184000, batch loss=0.314662, epoch loss=0.931431
Batch=299, step=3900, lr=0.184000, batch loss=0.204095, epoch loss=1.135525
Batch=359, step=3960, lr=0.183750, batch loss=0.281197, epoch loss=1.416722
Batch=419, step=4020, lr=0.183500, batch loss=0.271776, epoch loss=1.688499
Batch=479, step=4080, lr=0.183250, batch loss=0.249096, epoch loss=1.937595
Batch=539, step=4140, lr=0.183000, batch loss=0.195632, epoch loss=2.133227
Batch=599, step=4200, lr=0.182750, batch loss=0.242682, epoch loss=2.375908
Batch=659, step=4260, lr=0.182500, batch loss=0.327649, epoch loss=2.703557
Batch=719, step=4320, lr=0.182250, batch loss=0.326261, epoch loss=3.029818
Batch=779, step=4380, lr=0.182000, batch loss=0.352831, epoch loss=3.382649
Batch=839, step=4440, lr=0.181750, batch loss=0.316232, epoch loss=3.698881
Batch=899, step=4500, lr=0.181500, batch loss=0.279690, epoch loss=3.978570
Batch=959, step=4560, lr=0.181250, batch loss=0.217364, epoch loss=4.195934
Batch=1019, step=4620, lr=0.181000, batch loss=0.357052, epoch loss=4.552986
Batch=1079, step=4680, lr=0.180500, batch loss=0.211205, epoch loss=4.764191
Batch=1139, step=4740, lr=0.180500, batch loss=0.248157, epoch loss=5.012348
Batch=1199, step=4800, lr=0.180250, batch loss=0.190119, epoch loss=5.202467
Epoch=3, step=4800, lr=0.180250, epoch loss=5.202467
Batch=59, step=4860, lr=0.180000, batch loss=0.222184, epoch loss=0.222184
Batch=119, step=4920, lr=0.179750, batch loss=0.188804, epoch loss=0.410988
Batch=179, step=4980, lr=0.179500, batch loss=0.206125, epoch loss=0.617114
Batch=239, step=5040, lr=0.179250, batch loss=0.306635, epoch loss=0.923748
Batch=299, step=5100, lr=0.179000, batch loss=0.202799, epoch loss=1.126547
Batch=359, step=5160, lr=0.178750, batch loss=0.272118, epoch loss=1.398665
Batch=419, step=5220, lr=0.178500, batch loss=0.263563, epoch loss=1.662228
Batch=479, step=5280, lr=0.178000, batch loss=0.239895, epoch loss=1.902123
Batch=539, step=5340, lr=0.177750, batch loss=0.188891, epoch loss=2.091014
Batch=599, step=5400, lr=0.177500, batch loss=0.233202, epoch loss=2.324216
Batch=659, step=5460, lr=0.177500, batch loss=0.322630, epoch loss=2.646846
Batch=719, step=5520, lr=0.177250, batch loss=0.325027, epoch loss=2.971873
Batch=779, step=5580, lr=0.177000, batch loss=0.336859, epoch loss=3.308733
Batch=839, step=5640, lr=0.176500, batch loss=0.314205, epoch loss=3.622938
Batch=899, step=5700, lr=0.176250, batch loss=0.276656, epoch loss=3.899594
Batch=959, step=5760, lr=0.176250, batch loss=0.209274, epoch loss=4.108868
Batch=1019, step=5820, lr=0.176000, batch loss=0.343941, epoch loss=4.452809
Batch=1079, step=5880, lr=0.175750, batch loss=0.212087, epoch loss=4.664896
Batch=1139, step=5940, lr=0.175500, batch loss=0.239423, epoch loss=4.904318
Batch=1199, step=6000, lr=0.175000, batch loss=0.186685, epoch loss=5.091003
Epoch=4, step=6000, lr=0.175000, epoch loss=5.091003
Batch=59, step=6060, lr=0.175000, batch loss=0.231871, epoch loss=0.231871
Batch=119, step=6120, lr=0.174500, batch loss=0.194151, epoch loss=0.426022
Batch=179, step=6180, lr=0.174250, batch loss=0.200389, epoch loss=0.626411
Batch=239, step=6240, lr=0.174250, batch loss=0.300238, epoch loss=0.926649
Batch=299, step=6300, lr=0.174000, batch loss=0.213185, epoch loss=1.139834
Batch=359, step=6360, lr=0.173750, batch loss=0.272527, epoch loss=1.412362
Batch=419, step=6420, lr=0.173500, batch loss=0.267433, epoch loss=1.679795
Batch=479, step=6480, lr=0.173250, batch loss=0.241478, epoch loss=1.921273
Batch=539, step=6540, lr=0.173000, batch loss=0.197138, epoch loss=2.118410
Batch=599, step=6600, lr=0.172750, batch loss=0.232373, epoch loss=2.350784
Batch=659, step=6660, lr=0.172250, batch loss=0.313582, epoch loss=2.664366
Batch=719, step=6720, lr=0.172250, batch loss=0.317888, epoch loss=2.982254
Batch=779, step=6780, lr=0.172000, batch loss=0.330109, epoch loss=3.312363
Batch=839, step=6840, lr=0.171750, batch loss=0.305676, epoch loss=3.618040
Batch=899, step=6900, lr=0.171500, batch loss=0.264441, epoch loss=3.882481
Batch=959, step=6960, lr=0.171250, batch loss=0.219062, epoch loss=4.101544
Batch=1019, step=7020, lr=0.171000, batch loss=0.329722, epoch loss=4.431266
Batch=1079, step=7080, lr=0.170750, batch loss=0.186396, epoch loss=4.617662
Batch=1139, step=7140, lr=0.170500, batch loss=0.214798, epoch loss=4.832460
Batch=1199, step=7200, lr=0.170250, batch loss=0.184434, epoch loss=5.016895
Epoch=5, step=7200, lr=0.170250, epoch loss=5.016895
Batch=59, step=7260, lr=0.170000, batch loss=0.235856, epoch loss=0.235856
Batch=119, step=7320, lr=0.169750, batch loss=0.182968, epoch loss=0.418824
Batch=179, step=7380, lr=0.169500, batch loss=0.195706, epoch loss=0.614530
Batch=239, step=7440, lr=0.169250, batch loss=0.293576, epoch loss=0.908105
Batch=299, step=7500, lr=0.169000, batch loss=0.203459, epoch loss=1.111564
Batch=359, step=7560, lr=0.168750, batch loss=0.256643, epoch loss=1.368207
Batch=419, step=7620, lr=0.168500, batch loss=0.256791, epoch loss=1.624998
Batch=479, step=7680, lr=0.168250, batch loss=0.235962, epoch loss=1.860959
Batch=539, step=7740, lr=0.168000, batch loss=0.188678, epoch loss=2.049637
Batch=599, step=7800, lr=0.167750, batch loss=0.224783, epoch loss=2.274420
Batch=659, step=7860, lr=0.167500, batch loss=0.304684, epoch loss=2.579104
Batch=719, step=7920, lr=0.167250, batch loss=0.307855, epoch loss=2.886959
Batch=779, step=7980, lr=0.167000, batch loss=0.320095, epoch loss=3.207054
Batch=839, step=8040, lr=0.166750, batch loss=0.296428, epoch loss=3.503482
Batch=899, step=8100, lr=0.166500, batch loss=0.257786, epoch loss=3.761268
Batch=959, step=8160, lr=0.166250, batch loss=0.209009, epoch loss=3.970277
Batch=1019, step=8220, lr=0.166000, batch loss=0.319798, epoch loss=4.290075
Batch=1079, step=8280, lr=0.165750, batch loss=0.175337, epoch loss=4.465412
Batch=1139, step=8340, lr=0.165250, batch loss=0.208978, epoch loss=4.674391
Batch=1199, step=8400, lr=0.165250, batch loss=0.177696, epoch loss=4.852086
Epoch=6, step=8400, lr=0.165250, epoch loss=4.852086
Batch=59, step=8460, lr=0.165000, batch loss=0.228846, epoch loss=0.228846
Batch=119, step=8520, lr=0.164750, batch loss=0.174966, epoch loss=0.403812
Batch=179, step=8580, lr=0.164500, batch loss=0.187376, epoch loss=0.591189
Batch=239, step=8640, lr=0.164250, batch loss=0.277130, epoch loss=0.868319
Batch=299, step=8700, lr=0.164000, batch loss=0.190992, epoch loss=1.059311
Batch=359, step=8760, lr=0.163750, batch loss=0.247992, epoch loss=1.307303
Batch=419, step=8820, lr=0.163500, batch loss=0.244999, epoch loss=1.552302
Batch=479, step=8880, lr=0.163250, batch loss=0.227826, epoch loss=1.780128
Batch=539, step=8940, lr=0.162750, batch loss=0.178652, epoch loss=1.958781
Batch=599, step=9000, lr=0.162750, batch loss=0.217283, epoch loss=2.176064
Batch=659, step=9060, lr=0.162500, batch loss=0.293784, epoch loss=2.469848
Batch=719, step=9120, lr=0.162250, batch loss=0.293479, epoch loss=2.763327
Batch=779, step=9180, lr=0.162000, batch loss=0.315561, epoch loss=3.078888
Batch=839, step=9240, lr=0.161750, batch loss=0.285872, epoch loss=3.364760
Batch=899, step=9300, lr=0.161500, batch loss=0.250894, epoch loss=3.615654
Batch=959, step=9360, lr=0.161250, batch loss=0.189581, epoch loss=3.805235
Batch=1019, step=9420, lr=0.161000, batch loss=0.317030, epoch loss=4.122265
Batch=1079, step=9480, lr=0.160750, batch loss=0.187819, epoch loss=4.310084
Batch=1139, step=9540, lr=0.160500, batch loss=0.211862, epoch loss=4.521946
Batch=1199, step=9600, lr=0.160250, batch loss=0.166222, epoch loss=4.688168
Epoch=7, step=9600, lr=0.160250, epoch loss=4.688168
Batch=59, step=9660, lr=0.160000, batch loss=0.201316, epoch loss=0.201316
Batch=119, step=9720, lr=0.159750, batch loss=0.170106, epoch loss=0.371422
Batch=179, step=9780, lr=0.159500, batch loss=0.178856, epoch loss=0.550278
Batch=239, step=9840, lr=0.159250, batch loss=0.261354, epoch loss=0.811632
Batch=299, step=9900, lr=0.159000, batch loss=0.183305, epoch loss=0.994937
Batch=359, step=9960, lr=0.158500, batch loss=0.238070, epoch loss=1.233007
Batch=419, step=10020, lr=0.158500, batch loss=0.232620, epoch loss=1.465627
Batch=479, step=10080, lr=0.158250, batch loss=0.219360, epoch loss=1.684987
Batch=539, step=10140, lr=0.158000, batch loss=0.169851, epoch loss=1.854838
Batch=599, step=10200, lr=0.157750, batch loss=0.202725, epoch loss=2.057563
Batch=659, step=10260, lr=0.157500, batch loss=0.279600, epoch loss=2.337163
Batch=719, step=10320, lr=0.157250, batch loss=0.284127, epoch loss=2.621290
Batch=779, step=10380, lr=0.157000, batch loss=0.292624, epoch loss=2.913914
Batch=839, step=10440, lr=0.156750, batch loss=0.265519, epoch loss=3.179433
Batch=899, step=10500, lr=0.156500, batch loss=0.240749, epoch loss=3.420182
Batch=959, step=10560, lr=0.156250, batch loss=0.196673, epoch loss=3.616855
Batch=1019, step=10620, lr=0.155750, batch loss=0.278304, epoch loss=3.895159
Batch=1079, step=10680, lr=0.155750, batch loss=0.168380, epoch loss=4.063539
Batch=1139, step=10740, lr=0.155500, batch loss=0.200257, epoch loss=4.263796
Batch=1199, step=10800, lr=0.155250, batch loss=0.153846, epoch loss=4.417642
Epoch=8, step=10800, lr=0.155250, epoch loss=4.417642
Batch=59, step=10860, lr=0.155000, batch loss=0.178863, epoch loss=0.178863
Batch=119, step=10920, lr=0.154750, batch loss=0.148821, epoch loss=0.327685
Batch=179, step=10980, lr=0.154500, batch loss=0.164471, epoch loss=0.492155
Batch=239, step=11040, lr=0.154250, batch loss=0.241094, epoch loss=0.733249
Batch=299, step=11100, lr=0.154000, batch loss=0.167701, epoch loss=0.900950
Batch=359, step=11160, lr=0.153750, batch loss=0.222302, epoch loss=1.123252
Batch=419, step=11220, lr=0.153500, batch loss=0.234344, epoch loss=1.357596
Batch=479, step=11280, lr=0.153250, batch loss=0.196824, epoch loss=1.554420
Batch=539, step=11340, lr=0.153000, batch loss=0.156485, epoch loss=1.710905
Batch=599, step=11400, lr=0.152750, batch loss=0.180878, epoch loss=1.891783
Batch=659, step=11460, lr=0.152500, batch loss=0.261289, epoch loss=2.153072
Batch=719, step=11520, lr=0.152250, batch loss=0.254618, epoch loss=2.407691
Batch=779, step=11580, lr=0.152000, batch loss=0.268813, epoch loss=2.676504
Batch=839, step=11640, lr=0.151750, batch loss=0.255498, epoch loss=2.932001
Batch=899, step=11700, lr=0.151500, batch loss=0.215154, epoch loss=3.147155
Batch=959, step=11760, lr=0.151250, batch loss=0.173175, epoch loss=3.320330
Batch=1019, step=11820, lr=0.151000, batch loss=0.257875, epoch loss=3.578206
Batch=1079, step=11880, lr=0.150750, batch loss=0.139336, epoch loss=3.717542
Batch=1139, step=11940, lr=0.150500, batch loss=0.179270, epoch loss=3.896811
Batch=1199, step=12000, lr=0.150250, batch loss=0.138359, epoch loss=4.035170
Epoch=9, step=12000, lr=0.150250, epoch loss=4.035170
Batch=59, step=12060, lr=0.150000, batch loss=0.159826, epoch loss=0.159826
Batch=119, step=12120, lr=0.149750, batch loss=0.135968, epoch loss=0.295794
Batch=179, step=12180, lr=0.149500, batch loss=0.149865, epoch loss=0.445659
Batch=239, step=12240, lr=0.149250, batch loss=0.217356, epoch loss=0.663015
Batch=299, step=12300, lr=0.149000, batch loss=0.140328, epoch loss=0.803343
Batch=359, step=12360, lr=0.148750, batch loss=0.197233, epoch loss=1.000576
Batch=419, step=12420, lr=0.148500, batch loss=0.204396, epoch loss=1.204972
Batch=479, step=12480, lr=0.148250, batch loss=0.177336, epoch loss=1.382307
Batch=539, step=12540, lr=0.148000, batch loss=0.140989, epoch loss=1.523296
Batch=599, step=12600, lr=0.147750, batch loss=0.146859, epoch loss=1.670155
Batch=659, step=12660, lr=0.147500, batch loss=0.225549, epoch loss=1.895704
Batch=719, step=12720, lr=0.147250, batch loss=0.234669, epoch loss=2.130373
Batch=779, step=12780, lr=0.147000, batch loss=0.263517, epoch loss=2.393890
Batch=839, step=12840, lr=0.146750, batch loss=0.230836, epoch loss=2.624726
Batch=899, step=12900, lr=0.146500, batch loss=0.202243, epoch loss=2.826969
Batch=959, step=12960, lr=0.146250, batch loss=0.143408, epoch loss=2.970377
Batch=1019, step=13020, lr=0.146000, batch loss=0.241915, epoch loss=3.212292
Batch=1079, step=13080, lr=0.145750, batch loss=0.111033, epoch loss=3.323325
Batch=1139, step=13140, lr=0.145500, batch loss=0.148293, epoch loss=3.471618
Batch=1199, step=13200, lr=0.145250, batch loss=0.114463, epoch loss=3.586081
Epoch=10, step=13200, lr=0.145250, epoch loss=3.586081
Batch=59, step=13260, lr=0.145000, batch loss=0.135654, epoch loss=0.135654
Batch=119, step=13320, lr=0.144750, batch loss=0.121935, epoch loss=0.257589
Batch=179, step=13380, lr=0.144500, batch loss=0.126291, epoch loss=0.383880
Batch=239, step=13440, lr=0.144250, batch loss=0.189234, epoch loss=0.573114
Batch=299, step=13500, lr=0.144000, batch loss=0.115379, epoch loss=0.688493
Batch=359, step=13560, lr=0.143750, batch loss=0.158428, epoch loss=0.846921
Batch=419, step=13620, lr=0.143500, batch loss=0.158168, epoch loss=1.005089
Batch=479, step=13680, lr=0.143250, batch loss=0.143432, epoch loss=1.148520
Batch=539, step=13740, lr=0.143000, batch loss=0.116259, epoch loss=1.264780
Batch=599, step=13800, lr=0.142750, batch loss=0.117606, epoch loss=1.382386
Batch=659, step=13860, lr=0.142500, batch loss=0.171800, epoch loss=1.554186
Batch=719, step=13920, lr=0.142250, batch loss=0.173204, epoch loss=1.727390
Batch=779, step=13980, lr=0.142000, batch loss=0.192735, epoch loss=1.920125
Batch=839, step=14040, lr=0.141750, batch loss=0.186930, epoch loss=2.107055
Batch=899, step=14100, lr=0.141500, batch loss=0.174692, epoch loss=2.281747
Batch=959, step=14160, lr=0.141250, batch loss=0.143228, epoch loss=2.424975
Batch=1019, step=14220, lr=0.141000, batch loss=0.318863, epoch loss=2.743838
Batch=1079, step=14280, lr=0.140750, batch loss=0.067552, epoch loss=2.811390
Batch=1139, step=14340, lr=0.140500, batch loss=0.127516, epoch loss=2.938907
Batch=1199, step=14400, lr=0.140250, batch loss=0.094171, epoch loss=3.033077
Epoch=11, step=14400, lr=0.140250, epoch loss=3.033077
Batch=59, step=14460, lr=0.140000, batch loss=0.109574, epoch loss=0.109574
Batch=119, step=14520, lr=0.139750, batch loss=0.100557, epoch loss=0.210131
Batch=179, step=14580, lr=0.139500, batch loss=0.103508, epoch loss=0.313638
Batch=239, step=14640, lr=0.139250, batch loss=0.137068, epoch loss=0.450706
Batch=299, step=14700, lr=0.139000, batch loss=0.078222, epoch loss=0.528929
Batch=359, step=14760, lr=0.138750, batch loss=0.123623, epoch loss=0.652552
Batch=419, step=14820, lr=0.138500, batch loss=0.125086, epoch loss=0.777638
Batch=479, step=14880, lr=0.138250, batch loss=0.100929, epoch loss=0.878567
Batch=539, step=14940, lr=0.138000, batch loss=0.111861, epoch loss=0.990428
Batch=599, step=15000, lr=0.137750, batch loss=0.085495, epoch loss=1.075923
Batch=659, step=15060, lr=0.137500, batch loss=0.123457, epoch loss=1.199380
Batch=719, step=15120, lr=0.137250, batch loss=0.128813, epoch loss=1.328193
Batch=779, step=15180, lr=0.137000, batch loss=0.146656, epoch loss=1.474849
Batch=839, step=15240, lr=0.136750, batch loss=0.152217, epoch loss=1.627065
Batch=899, step=15300, lr=0.136500, batch loss=0.246401, epoch loss=1.873466
Batch=959, step=15360, lr=0.136250, batch loss=0.051794, epoch loss=1.925260
Batch=1019, step=15420, lr=0.136000, batch loss=0.139859, epoch loss=2.065119
Batch=1079, step=15480, lr=0.135750, batch loss=0.044438, epoch loss=2.109557
Batch=1139, step=15540, lr=0.135500, batch loss=0.106445, epoch loss=2.216003
Batch=1199, step=15600, lr=0.135250, batch loss=0.058466, epoch loss=2.274469
Epoch=12, step=15600, lr=0.135250, epoch loss=2.274469
Batch=59, step=15660, lr=0.135000, batch loss=0.068374, epoch loss=0.068374
Batch=119, step=15720, lr=0.134750, batch loss=0.089069, epoch loss=0.157443
Batch=179, step=15780, lr=0.134500, batch loss=0.078630, epoch loss=0.236073
Batch=239, step=15840, lr=0.134250, batch loss=0.087794, epoch loss=0.323867
Batch=299, step=15900, lr=0.134000, batch loss=0.040896, epoch loss=0.364764
Batch=359, step=15960, lr=0.133750, batch loss=0.078913, epoch loss=0.443677
Batch=419, step=16020, lr=0.133500, batch loss=0.101122, epoch loss=0.544799
Batch=479, step=16080, lr=0.133250, batch loss=0.052351, epoch loss=0.597150
Batch=539, step=16140, lr=0.133000, batch loss=0.071087, epoch loss=0.668237
Batch=599, step=16200, lr=0.132750, batch loss=0.053555, epoch loss=0.721792
Batch=659, step=16260, lr=0.132500, batch loss=0.075307, epoch loss=0.797098
Batch=719, step=16320, lr=0.132250, batch loss=0.076497, epoch loss=0.873595
Batch=779, step=16380, lr=0.132000, batch loss=0.103659, epoch loss=0.977254
Batch=839, step=16440, lr=0.131750, batch loss=0.246859, epoch loss=1.224112
Batch=899, step=16500, lr=0.131500, batch loss=0.072960, epoch loss=1.297073
Batch=959, step=16560, lr=0.131250, batch loss=0.030864, epoch loss=1.327937
Batch=1019, step=16620, lr=0.131000, batch loss=0.064203, epoch loss=1.392140
Batch=1079, step=16680, lr=0.130750, batch loss=0.048123, epoch loss=1.440263
Batch=1139, step=16740, lr=0.130500, batch loss=0.082624, epoch loss=1.522887
Batch=1199, step=16800, lr=0.130250, batch loss=0.036387, epoch loss=1.559274
Epoch=13, step=16800, lr=0.130250, epoch loss=1.559274
Batch=59, step=16860, lr=0.130000, batch loss=0.030191, epoch loss=0.030191
Batch=119, step=16920, lr=0.129750, batch loss=0.031094, epoch loss=0.061285
Batch=179, step=16980, lr=0.129500, batch loss=0.040088, epoch loss=0.101373
Batch=239, step=17040, lr=0.129250, batch loss=0.054629, epoch loss=0.156002
Batch=299, step=17100, lr=0.129000, batch loss=0.018489, epoch loss=0.174491
Batch=359, step=17160, lr=0.128750, batch loss=0.037965, epoch loss=0.212456
Batch=419, step=17220, lr=0.128500, batch loss=0.047906, epoch loss=0.260362
Batch=479, step=17280, lr=0.128250, batch loss=0.045265, epoch loss=0.305627
Batch=539, step=17340, lr=0.128000, batch loss=0.106033, epoch loss=0.411660
Batch=599, step=17400, lr=0.127750, batch loss=0.041945, epoch loss=0.453606
Batch=659, step=17460, lr=0.127500, batch loss=0.049686, epoch loss=0.503292
Batch=719, step=17520, lr=0.127250, batch loss=0.059874, epoch loss=0.563166
Batch=779, step=17580, lr=0.127000, batch loss=0.122673, epoch loss=0.685840
Batch=839, step=17640, lr=0.126750, batch loss=0.068916, epoch loss=0.754756
Batch=899, step=17700, lr=0.126500, batch loss=0.080883, epoch loss=0.835639
Batch=959, step=17760, lr=0.126250, batch loss=0.028395, epoch loss=0.864034
Batch=1019, step=17820, lr=0.126000, batch loss=0.061791, epoch loss=0.925826
Batch=1079, step=17880, lr=0.125750, batch loss=0.026601, epoch loss=0.952426
Batch=1139, step=17940, lr=0.125500, batch loss=0.046849, epoch loss=0.999275
Batch=1199, step=18000, lr=0.125250, batch loss=0.019618, epoch loss=1.018893
Epoch=14, step=18000, lr=0.125250, epoch loss=1.018893
Batch=59, step=18060, lr=0.125000, batch loss=0.010991, epoch loss=0.010991
Batch=119, step=18120, lr=0.124750, batch loss=0.020803, epoch loss=0.031794
Batch=179, step=18180, lr=0.124500, batch loss=0.040028, epoch loss=0.071822
Batch=239, step=18240, lr=0.124250, batch loss=0.039298, epoch loss=0.111120
Batch=299, step=18300, lr=0.124000, batch loss=0.020952, epoch loss=0.132072
Batch=359, step=18360, lr=0.123750, batch loss=0.024565, epoch loss=0.156637
Batch=419, step=18420, lr=0.123500, batch loss=0.029251, epoch loss=0.185888
Batch=479, step=18480, lr=0.123250, batch loss=0.014886, epoch loss=0.200774
Batch=539, step=18540, lr=0.123000, batch loss=0.021157, epoch loss=0.221931
Batch=599, step=18600, lr=0.122750, batch loss=0.024651, epoch loss=0.246583
Batch=659, step=18660, lr=0.122500, batch loss=0.029859, epoch loss=0.276442
Batch=719, step=18720, lr=0.122250, batch loss=0.039293, epoch loss=0.315735
Batch=779, step=18780, lr=0.122000, batch loss=0.121566, epoch loss=0.437301
Batch=839, step=18840, lr=0.121750, batch loss=0.052653, epoch loss=0.489954
Batch=899, step=18900, lr=0.121500, batch loss=0.056303, epoch loss=0.546257
Batch=959, step=18960, lr=0.121250, batch loss=0.013494, epoch loss=0.559751
Batch=1019, step=19020, lr=0.121000, batch loss=0.014840, epoch loss=0.574591
Batch=1079, step=19080, lr=0.120750, batch loss=0.006857, epoch loss=0.581448
Batch=1139, step=19140, lr=0.120500, batch loss=0.023762, epoch loss=0.605210
Batch=1199, step=19200, lr=0.120250, batch loss=0.009578, epoch loss=0.614788
Epoch=15, step=19200, lr=0.120250, epoch loss=0.614788
Batch=59, step=19260, lr=0.120000, batch loss=0.004917, epoch loss=0.004917
Batch=119, step=19320, lr=0.119750, batch loss=0.017110, epoch loss=0.022027
Batch=179, step=19380, lr=0.119500, batch loss=0.039824, epoch loss=0.061850
Batch=239, step=19440, lr=0.119250, batch loss=0.021237, epoch loss=0.083087
Batch=299, step=19500, lr=0.119000, batch loss=0.004582, epoch loss=0.087669
Batch=359, step=19560, lr=0.118750, batch loss=0.017300, epoch loss=0.104969
Batch=419, step=19620, lr=0.118500, batch loss=0.018498, epoch loss=0.123468
Batch=479, step=19680, lr=0.118250, batch loss=0.005572, epoch loss=0.129039
Batch=539, step=19740, lr=0.118000, batch loss=0.025261, epoch loss=0.154300
Batch=599, step=19800, lr=0.117750, batch loss=0.028064, epoch loss=0.182364
Batch=659, step=19860, lr=0.117500, batch loss=0.015617, epoch loss=0.197981
Batch=719, step=19920, lr=0.117250, batch loss=0.033547, epoch loss=0.231529
Batch=779, step=19980, lr=0.117000, batch loss=0.065211, epoch loss=0.296740
Batch=839, step=20040, lr=0.116750, batch loss=0.030719, epoch loss=0.327458
Batch=899, step=20100, lr=0.116500, batch loss=0.027987, epoch loss=0.355445
Batch=959, step=20160, lr=0.116250, batch loss=0.016356, epoch loss=0.371801
Batch=1019, step=20220, lr=0.116000, batch loss=0.017399, epoch loss=0.389200
Batch=1079, step=20280, lr=0.115750, batch loss=0.001760, epoch loss=0.390960
Batch=1139, step=20340, lr=0.115500, batch loss=0.014026, epoch loss=0.404986
Batch=1199, step=20400, lr=0.115250, batch loss=0.007745, epoch loss=0.412731
Epoch=16, step=20400, lr=0.115250, epoch loss=0.412731
Batch=59, step=20460, lr=0.115000, batch loss=0.003893, epoch loss=0.003893
Batch=119, step=20520, lr=0.114750, batch loss=0.008480, epoch loss=0.012373
Batch=179, step=20580, lr=0.114500, batch loss=0.015535, epoch loss=0.027908
Batch=239, step=20640, lr=0.114250, batch loss=0.020741, epoch loss=0.048649
Batch=299, step=20700, lr=0.114000, batch loss=0.007936, epoch loss=0.056585
Batch=359, step=20760, lr=0.113750, batch loss=0.013489, epoch loss=0.070073
Batch=419, step=20820, lr=0.113500, batch loss=0.014059, epoch loss=0.084132
Batch=479, step=20880, lr=0.113250, batch loss=0.004635, epoch loss=0.088767
Batch=539, step=20940, lr=0.113000, batch loss=0.015083, epoch loss=0.103850
Batch=599, step=21000, lr=0.112750, batch loss=0.018574, epoch loss=0.122424
Batch=659, step=21060, lr=0.112500, batch loss=0.014807, epoch loss=0.137231
Batch=719, step=21120, lr=0.112250, batch loss=0.041748, epoch loss=0.178979
Batch=779, step=21180, lr=0.112000, batch loss=0.072312, epoch loss=0.251291
Batch=839, step=21240, lr=0.111750, batch loss=0.025421, epoch loss=0.276712
Batch=899, step=21300, lr=0.111500, batch loss=0.027574, epoch loss=0.304286
Batch=959, step=21360, lr=0.111250, batch loss=0.009744, epoch loss=0.314030
Batch=1019, step=21420, lr=0.111000, batch loss=0.009731, epoch loss=0.323762
Batch=1079, step=21480, lr=0.110750, batch loss=0.002314, epoch loss=0.326075
Batch=1139, step=21540, lr=0.110500, batch loss=0.012007, epoch loss=0.338083
Batch=1199, step=21600, lr=0.110250, batch loss=0.005235, epoch loss=0.343318
Epoch=17, step=21600, lr=0.110250, epoch loss=0.343318
Batch=59, step=21660, lr=0.110000, batch loss=0.001956, epoch loss=0.001956
Batch=119, step=21720, lr=0.109750, batch loss=0.006376, epoch loss=0.008333
Batch=179, step=21780, lr=0.109500, batch loss=0.012641, epoch loss=0.020974
Batch=239, step=21840, lr=0.109250, batch loss=0.011073, epoch loss=0.032047
Batch=299, step=21900, lr=0.109000, batch loss=0.012416, epoch loss=0.044463
Batch=359, step=21960, lr=0.108750, batch loss=0.012576, epoch loss=0.057039
Batch=419, step=22020, lr=0.108500, batch loss=0.012366, epoch loss=0.069405
Batch=479, step=22080, lr=0.108250, batch loss=0.002631, epoch loss=0.072036
Batch=539, step=22140, lr=0.108000, batch loss=0.016175, epoch loss=0.088211
Batch=599, step=22200, lr=0.107750, batch loss=0.016679, epoch loss=0.104890
Batch=659, step=22260, lr=0.107500, batch loss=0.016600, epoch loss=0.121490
Batch=719, step=22320, lr=0.107250, batch loss=0.020291, epoch loss=0.141781
Batch=779, step=22380, lr=0.107000, batch loss=0.030650, epoch loss=0.172432
Batch=839, step=22440, lr=0.106750, batch loss=0.030299, epoch loss=0.202731
Batch=899, step=22500, lr=0.106500, batch loss=0.023440, epoch loss=0.226171
Batch=959, step=22560, lr=0.106250, batch loss=0.010410, epoch loss=0.236580
Batch=1019, step=22620, lr=0.106000, batch loss=0.008056, epoch loss=0.244636
Batch=1079, step=22680, lr=0.105750, batch loss=0.001320, epoch loss=0.245956
Batch=1139, step=22740, lr=0.105500, batch loss=0.009914, epoch loss=0.255871
Batch=1199, step=22800, lr=0.105250, batch loss=0.005262, epoch loss=0.261133
Epoch=18, step=22800, lr=0.105250, epoch loss=0.261133
Batch=59, step=22860, lr=0.105000, batch loss=0.002415, epoch loss=0.002415
Batch=119, step=22920, lr=0.104750, batch loss=0.004378, epoch loss=0.006792
Batch=179, step=22980, lr=0.104500, batch loss=0.012450, epoch loss=0.019242
Batch=239, step=23040, lr=0.104250, batch loss=0.009154, epoch loss=0.028396
Batch=299, step=23100, lr=0.104000, batch loss=0.001443, epoch loss=0.029839
Batch=359, step=23160, lr=0.103750, batch loss=0.011276, epoch loss=0.041115
Batch=419, step=23220, lr=0.103500, batch loss=0.009478, epoch loss=0.050592
Batch=479, step=23280, lr=0.103250, batch loss=0.001919, epoch loss=0.052512
Batch=539, step=23340, lr=0.103000, batch loss=0.016466, epoch loss=0.068978
Batch=599, step=23400, lr=0.102750, batch loss=0.013057, epoch loss=0.082035
Batch=659, step=23460, lr=0.102500, batch loss=0.010662, epoch loss=0.092697
Batch=719, step=23520, lr=0.102250, batch loss=0.015863, epoch loss=0.108560
Batch=779, step=23580, lr=0.102000, batch loss=0.020678, epoch loss=0.129238
Batch=839, step=23640, lr=0.101750, batch loss=0.025035, epoch loss=0.154273
Batch=899, step=23700, lr=0.101500, batch loss=0.022114, epoch loss=0.176388
Batch=959, step=23760, lr=0.101250, batch loss=0.008385, epoch loss=0.184772
Batch=1019, step=23820, lr=0.101000, batch loss=0.008033, epoch loss=0.192806
Batch=1079, step=23880, lr=0.100750, batch loss=0.000511, epoch loss=0.193317
Batch=1139, step=23940, lr=0.100500, batch loss=0.008923, epoch loss=0.202240
Batch=1199, step=24000, lr=0.100250, batch loss=0.004113, epoch loss=0.206352
Epoch=19, step=24000, lr=0.100250, epoch loss=0.206352


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
│********************************#*******************************************************************│
│**********************#*#*#######*###*#####*********************************************************│
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│***********########*##*#******************#*****##########******************************************│
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 14:56.32 ---> saved as "ade2567aa8da34da8e7e3faeae74a45c5541b44d8b96d58e79dc12ff84bdc364"
Job succeeded
2025-03-21 14:56.33: Job succeeded