fedora-40-5.3_opam-2.3

2025-03-22 15:30.21: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (2032408f0ade78c11cab2eb31243ad3db51953f9) (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 2032408f
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


2025-03-22 15:30.21: Using cache hint "ahrefs/ocannl-ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e-fedora-40-5.3_opam-2.3-3fcdf15be1e8f7dcae915b4cdb940fd5"
2025-03-22 15:30.21: 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"))
)


2025-03-22 15:30.21: Waiting for resource in pool OCluster
2025-03-22 15:30.21: Waiting for worker…
2025-03-22 15:30.21: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at 2032408f More %cd flexibility: derive projections for `!.` and `!..`


(from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e)
2025-03-22 15:30.22 ---> using "1476c452edd56a53215a301540bb2009c8d2a15dba423047d40300e18599671f" from cache


/: (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                               67 kB/s |  27 kB     00:00
Fedora 40 - x86_64 - Updates                    184 kB/s |  24 kB     00:00
Fedora 40 - x86_64 - Updates                    4.9 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!
2025-03-22 15:30.22 ---> using "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53" from cache


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-22 15:30.22 ---> using "3cf8028e21344054f79e658239efeb83a6d7aca5695c51333e87cfafa85482ca" 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
[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
2025-03-22 15:30.22 ---> using "e8183cd9ba1a23c4d7ddb3cf8b2d2350a9e0a7713ccd1e3ac8d0c1e7fffb4080" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-134-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-03-22 15:30.22 ---> using "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-22 15:30.22 ---> using "c4ed4798c67e57846c83ac2aba073c0c9239aa56a5e2c21f39faf8e0638895ed" from cache


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 || git fetch origin master) && git reset -q --hard 4e25d0cf5f38cf58d1904bbb48f62ccd9c48f785 && git log --no-decorate -n1 --oneline && opam update -u"))
From https://github.com/ocaml/opam-repository
* branch                  master     -> FETCH_HEAD
862a7640b1..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)
2025-03-22 15:30.22 ---> using "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6" from cache


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-22 15:30.22 ---> using "b3c1458d2dffc241e60bbd215faf56a55dcfb986863e21eac7f53a89b40c9287" from cache


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-03-22 15:30.22 ---> using "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529" from cache


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-22 15:30.22 ---> using "99abe2e5638a7b6021666aebe939dd0066e9cb52eacde91026c9424c3fb52584" from cache


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


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "yum" "makecache"
- Fedora 40 - x86_64                              143 kB/s |  27 kB     00:00
- Fedora 40 openh264 (From Cisco) - x86_64        9.4 kB/s | 989  B     00:00
- Fedora 40 - x86_64 - Updates                    185 kB/s |  24 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: 0:00:16 ago on Sat Mar 22 15:21:04 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            184 kB/s |  28 kB     00:00
- --------------------------------------------------------------------------------
- Total                                            99 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
2025-03-22 15:30.22 ---> using "fc908412141f84d4618e32af5e50641ccc3c42263dd940e51e569bd85795e2a0" from cache


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


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved cppo.1.8.0  (cached)
-> installed conf-pkg-config.4
-> retrieved csexp.1.5.2  (cached)
-> retrieved ctypes.0.23.0, ctypes-foreign.0.23.0  (cached)
-> installed conf-libffi.2.0.0
-> retrieved fieldslib.v0.17.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved multicore-magic.2.3.1  (cached)
-> retrieved num.1.5-1  (cached)
-> retrieved ocaml-compiler-libs.v0.17.0  (cached)
-> retrieved ocaml-syntax-shims.1.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> 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_minidebug.2.1.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved sexplib.v0.17.0  (cached)
-> retrieved 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 ppxlib.0.35.0  (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 ocamlfind.1.9.8
-> installed ocamlbuild.0.16.1
-> 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-compiler-libs.v0.17.0
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.17.2
-> installed bigstringaf.0.10.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.1
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed printbox-ext-plot.0.12
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> 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)
2025-03-22 15:30.22 ---> using "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c" from cache


/src: (copy (src .) (dst /src))
2025-03-22 15:30.22 ---> saved as "282b4f487a2466b7fc6dc5837eb450c831c6ec6e9deb5eaecb98d761a8eddd93"


/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/5bc5b05564779f3b6da68984611b2ddb/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/ec0c0ad33e426a3cf5c2d21678c822ff/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/5bc5b05564779f3b6da68984611b2ddb/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/5bc5b05564779f3b6da68984611b2ddb/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=0.193250, batch loss=0.276268, epoch loss=2.211831
Batch=539, step=1740, lr=0.193000, batch loss=0.209826, epoch loss=2.421657
Batch=599, step=1800, lr=0.192750, batch loss=0.250384, epoch loss=2.672042
Batch=659, step=1860, lr=0.192500, batch loss=0.367201, epoch loss=3.039243
Batch=719, step=1920, lr=0.192250, batch loss=0.354917, epoch loss=3.394160
Batch=779, step=1980, lr=0.192000, batch loss=0.381382, epoch loss=3.775542
Batch=839, step=2040, lr=0.191750, batch loss=0.339637, epoch loss=4.115179
Batch=899, step=2100, lr=0.191500, batch loss=0.295234, epoch loss=4.410413
Batch=959, step=2160, lr=0.191250, batch loss=0.214033, epoch loss=4.624446
Batch=1019, step=2220, lr=0.191000, batch loss=0.330972, epoch loss=4.955419
Batch=1079, step=2280, lr=0.190750, batch loss=0.208236, epoch loss=5.163654
Batch=1139, step=2340, lr=0.190500, batch loss=0.278374, epoch loss=5.442028
Batch=1199, step=2400, lr=0.190250, batch loss=0.220793, epoch loss=5.662821
Epoch=1, step=2400, lr=0.190250, epoch loss=5.662821
Batch=59, step=2460, lr=0.190000, batch loss=0.230363, epoch loss=0.230363
Batch=119, step=2520, lr=0.189750, batch loss=0.195962, epoch loss=0.426325
Batch=179, step=2580, lr=0.189500, batch loss=0.221156, epoch loss=0.647481
Batch=239, step=2640, lr=0.189250, batch loss=0.328098, epoch loss=0.975578
Batch=299, step=2700, lr=0.189000, batch loss=0.202947, epoch loss=1.178525
Batch=359, step=2760, lr=0.188750, batch loss=0.289890, epoch loss=1.468415
Batch=419, step=2820, lr=0.188500, batch loss=0.281744, epoch loss=1.750160
Batch=479, step=2880, lr=0.188250, batch loss=0.264844, epoch loss=2.015004
Batch=539, step=2940, lr=0.188000, batch loss=0.203798, epoch loss=2.218802
Batch=599, step=3000, lr=0.187750, batch loss=0.248079, epoch loss=2.466881
Batch=659, step=3060, lr=0.187500, batch loss=0.345056, epoch loss=2.811937
Batch=719, step=3120, lr=0.187250, batch loss=0.343542, epoch loss=3.155479
Batch=779, step=3180, lr=0.187000, batch loss=0.366989, epoch loss=3.522468
Batch=839, step=3240, lr=0.186750, batch loss=0.321779, epoch loss=3.844248
Batch=899, step=3300, lr=0.186500, batch loss=0.283865, epoch loss=4.128112
Batch=959, step=3360, lr=0.186250, batch loss=0.214411, epoch loss=4.342523
Batch=1019, step=3420, lr=0.186000, batch loss=0.306400, epoch loss=4.648923
Batch=1079, step=3480, lr=0.185750, batch loss=0.177313, epoch loss=4.826236
Batch=1139, step=3540, lr=0.185500, batch loss=0.235576, epoch loss=5.061812
Batch=1199, step=3600, lr=0.185250, batch loss=0.197911, epoch loss=5.259723
Epoch=2, step=3600, lr=0.185250, epoch loss=5.259723
Batch=59, step=3660, lr=0.185000, batch loss=0.226539, epoch loss=0.226539
Batch=119, step=3720, lr=0.184750, batch loss=0.191802, epoch loss=0.418341
Batch=179, step=3780, lr=0.184500, batch loss=0.210712, epoch loss=0.629053
Batch=239, step=3840, lr=0.184250, batch loss=0.314104, epoch loss=0.943157
Batch=299, step=3900, lr=0.184000, batch loss=0.206011, epoch loss=1.149168
Batch=359, step=3960, lr=0.183750, batch loss=0.291253, epoch loss=1.440420
Batch=419, step=4020, lr=0.183500, batch loss=0.297434, epoch loss=1.737854
Batch=479, step=4080, lr=0.183250, batch loss=0.260511, epoch loss=1.998365
Batch=539, step=4140, lr=0.183000, batch loss=0.195229, epoch loss=2.193593
Batch=599, step=4200, lr=0.182750, batch loss=0.230395, epoch loss=2.423989
Batch=659, step=4260, lr=0.182500, batch loss=0.337132, epoch loss=2.761121
Batch=719, step=4320, lr=0.182250, batch loss=0.347122, epoch loss=3.108243
Batch=779, step=4380, lr=0.182000, batch loss=0.346320, epoch loss=3.454563
Batch=839, step=4440, lr=0.181750, batch loss=0.317770, epoch loss=3.772333
Batch=899, step=4500, lr=0.181500, batch loss=0.283906, epoch loss=4.056239
Batch=959, step=4560, lr=0.181250, batch loss=0.238371, epoch loss=4.294610
Batch=1019, step=4620, lr=0.181000, batch loss=0.336891, epoch loss=4.631501
Batch=1079, step=4680, lr=0.180750, batch loss=0.208592, epoch loss=4.840094
Batch=1139, step=4740, lr=0.180500, batch loss=0.249212, epoch loss=5.089306
Batch=1199, step=4800, lr=0.180250, batch loss=0.191768, epoch loss=5.281074
Epoch=3, step=4800, lr=0.180250, epoch loss=5.281074
Batch=59, step=4860, lr=0.180000, batch loss=0.228079, epoch loss=0.228079
Batch=119, step=4920, lr=0.179750, batch loss=0.190219, epoch loss=0.418298
Batch=179, step=4980, lr=0.179500, batch loss=0.205905, epoch loss=0.624203
Batch=239, step=5040, lr=0.179250, batch loss=0.309067, epoch loss=0.933269
Batch=299, step=5100, lr=0.179000, batch loss=0.204593, epoch loss=1.137862
Batch=359, step=5160, lr=0.178750, batch loss=0.271139, epoch loss=1.409001
Batch=419, step=5220, lr=0.178500, batch loss=0.264055, epoch loss=1.673056
Batch=479, step=5280, lr=0.178250, batch loss=0.239692, epoch loss=1.912748
Batch=539, step=5340, lr=0.178000, batch loss=0.189445, epoch loss=2.102194
Batch=599, step=5400, lr=0.177750, batch loss=0.231019, epoch loss=2.333213
Batch=659, step=5460, lr=0.177500, batch loss=0.323592, epoch loss=2.656805
Batch=719, step=5520, lr=0.177250, batch loss=0.325867, epoch loss=2.982672
Batch=779, step=5580, lr=0.177000, batch loss=0.343179, epoch loss=3.325851
Batch=839, step=5640, lr=0.176750, batch loss=0.309345, epoch loss=3.635195
Batch=899, step=5700, lr=0.176500, batch loss=0.273171, epoch loss=3.908366
Batch=959, step=5760, lr=0.176250, batch loss=0.214921, epoch loss=4.123287
Batch=1019, step=5820, lr=0.176000, batch loss=0.339150, epoch loss=4.462436
Batch=1079, step=5880, lr=0.175750, batch loss=0.207828, epoch loss=4.670264
Batch=1139, step=5940, lr=0.175500, batch loss=0.240055, epoch loss=4.910319
Batch=1199, step=6000, lr=0.175250, batch loss=0.186862, epoch loss=5.097180
Epoch=4, step=6000, lr=0.175250, epoch loss=5.097180
Batch=59, step=6060, lr=0.175000, batch loss=0.230529, epoch loss=0.230529
Batch=119, step=6120, lr=0.174750, batch loss=0.194291, epoch loss=0.424820
Batch=179, step=6180, lr=0.174500, batch loss=0.201541, epoch loss=0.626361
Batch=239, step=6240, lr=0.174250, batch loss=0.302380, epoch loss=0.928741
Batch=299, step=6300, lr=0.174000, batch loss=0.203930, epoch loss=1.132671
Batch=359, step=6360, lr=0.173750, batch loss=0.266115, epoch loss=1.398786
Batch=419, step=6420, lr=0.173500, batch loss=0.265282, epoch loss=1.664067
Batch=479, step=6480, lr=0.173250, batch loss=0.243319, epoch loss=1.907387
Batch=539, step=6540, lr=0.173000, batch loss=0.192969, epoch loss=2.100355
Batch=599, step=6600, lr=0.172750, batch loss=0.234500, epoch loss=2.334855
Batch=659, step=6660, lr=0.172500, batch loss=0.312107, epoch loss=2.646963
Batch=719, step=6720, lr=0.172250, batch loss=0.314221, epoch loss=2.961184
Batch=779, step=6780, lr=0.172000, batch loss=0.333223, epoch loss=3.294407
Batch=839, step=6840, lr=0.171750, batch loss=0.303757, epoch loss=3.598164
Batch=899, step=6900, lr=0.171500, batch loss=0.268468, epoch loss=3.866633
Batch=959, step=6960, lr=0.171250, batch loss=0.211039, epoch loss=4.077671
Batch=1019, step=7020, lr=0.171000, batch loss=0.330462, epoch loss=4.408133
Batch=1079, step=7080, lr=0.170750, batch loss=0.180866, epoch loss=4.588999
Batch=1139, step=7140, lr=0.170500, batch loss=0.216313, epoch loss=4.805312
Batch=1199, step=7200, lr=0.170250, batch loss=0.181911, epoch loss=4.987223
Epoch=5, step=7200, lr=0.170250, epoch loss=4.987223
Batch=59, step=7260, lr=0.170000, batch loss=0.232877, epoch loss=0.232877
Batch=119, step=7320, lr=0.169750, batch loss=0.184424, epoch loss=0.417301
Batch=179, step=7380, lr=0.169500, batch loss=0.196292, epoch loss=0.613593
Batch=239, step=7440, lr=0.169250, batch loss=0.290823, epoch loss=0.904416
Batch=299, step=7500, lr=0.169000, batch loss=0.200837, epoch loss=1.105253
Batch=359, step=7560, lr=0.168750, batch loss=0.258435, epoch loss=1.363689
Batch=419, step=7620, lr=0.168500, batch loss=0.256808, epoch loss=1.620497
Batch=479, step=7680, lr=0.168250, batch loss=0.235998, epoch loss=1.856495
Batch=539, step=7740, lr=0.168000, batch loss=0.187895, epoch loss=2.044390
Batch=599, step=7800, lr=0.167750, batch loss=0.223924, epoch loss=2.268314
Batch=659, step=7860, lr=0.167500, batch loss=0.305915, epoch loss=2.574229
Batch=719, step=7920, lr=0.167250, batch loss=0.309289, epoch loss=2.883518
Batch=779, step=7980, lr=0.167000, batch loss=0.329942, epoch loss=3.213460
Batch=839, step=8040, lr=0.166750, batch loss=0.292425, epoch loss=3.505885
Batch=899, step=8100, lr=0.166500, batch loss=0.261775, epoch loss=3.767660
Batch=959, step=8160, lr=0.166250, batch loss=0.193295, epoch loss=3.960955
Batch=1019, step=8220, lr=0.166000, batch loss=0.314033, epoch loss=4.274988
Batch=1079, step=8280, lr=0.165750, batch loss=0.172099, epoch loss=4.447087
Batch=1139, step=8340, lr=0.165500, batch loss=0.209742, epoch loss=4.656829
Batch=1199, step=8400, lr=0.165250, batch loss=0.178275, epoch loss=4.835103
Epoch=6, step=8400, lr=0.165250, epoch loss=4.835103
Batch=59, step=8460, lr=0.165000, batch loss=0.229725, epoch loss=0.229725
Batch=119, step=8520, lr=0.164750, batch loss=0.175017, epoch loss=0.404742
Batch=179, step=8580, lr=0.164500, batch loss=0.187817, epoch loss=0.592559
Batch=239, step=8640, lr=0.164250, batch loss=0.278203, epoch loss=0.870762
Batch=299, step=8700, lr=0.164000, batch loss=0.191994, epoch loss=1.062755
Batch=359, step=8760, lr=0.163750, batch loss=0.248632, epoch loss=1.311388
Batch=419, step=8820, lr=0.163500, batch loss=0.245601, epoch loss=1.556988
Batch=479, step=8880, lr=0.163250, batch loss=0.228591, epoch loss=1.785580
Batch=539, step=8940, lr=0.163000, batch loss=0.178132, epoch loss=1.963712
Batch=599, step=9000, lr=0.162750, batch loss=0.217388, epoch loss=2.181101
Batch=659, step=9060, lr=0.162500, batch loss=0.294814, epoch loss=2.475915
Batch=719, step=9120, lr=0.162250, batch loss=0.296433, epoch loss=2.772348
Batch=779, step=9180, lr=0.162000, batch loss=0.316728, epoch loss=3.089075
Batch=839, step=9240, lr=0.161500, batch loss=0.287243, epoch loss=3.376318
Batch=899, step=9300, lr=0.161500, batch loss=0.251018, epoch loss=3.627336
Batch=959, step=9360, lr=0.161250, batch loss=0.190619, epoch loss=3.817955
Batch=1019, step=9420, lr=0.161000, batch loss=0.311600, epoch loss=4.129555
Batch=1079, step=9480, lr=0.160750, batch loss=0.191712, epoch loss=4.321267
Batch=1139, step=9540, lr=0.160500, batch loss=0.215704, epoch loss=4.536971
Batch=1199, step=9600, lr=0.160250, batch loss=0.165614, epoch loss=4.702586
Epoch=7, step=9600, lr=0.160250, epoch loss=4.702586
Batch=59, step=9660, lr=0.160000, batch loss=0.197280, epoch loss=0.197280
Batch=119, step=9720, lr=0.159750, batch loss=0.165423, epoch loss=0.362702
Batch=179, step=9780, lr=0.159500, batch loss=0.179284, epoch loss=0.541986
Batch=239, step=9840, lr=0.159250, batch loss=0.263151, epoch loss=0.805138
Batch=299, step=9900, lr=0.159000, batch loss=0.183117, epoch loss=0.988254
Batch=359, step=9960, lr=0.158750, batch loss=0.239951, epoch loss=1.228205
Batch=419, step=10020, lr=0.158500, batch loss=0.232866, epoch loss=1.461071
Batch=479, step=10080, lr=0.158250, batch loss=0.213259, epoch loss=1.674330
Batch=539, step=10140, lr=0.158000, batch loss=0.170413, epoch loss=1.844743
Batch=599, step=10200, lr=0.157750, batch loss=0.200324, epoch loss=2.045068
Batch=659, step=10260, lr=0.157500, batch loss=0.283011, epoch loss=2.328078
Batch=719, step=10320, lr=0.157250, batch loss=0.279881, epoch loss=2.607960
Batch=779, step=10380, lr=0.157000, batch loss=0.300653, epoch loss=2.908612
Batch=839, step=10440, lr=0.156750, batch loss=0.271122, epoch loss=3.179734
Batch=899, step=10500, lr=0.156500, batch loss=0.239654, epoch loss=3.419388
Batch=959, step=10560, lr=0.156250, batch loss=0.198335, epoch loss=3.617723
Batch=1019, step=10620, lr=0.156000, batch loss=0.293449, epoch loss=3.911173
Batch=1079, step=10680, lr=0.155750, batch loss=0.180074, epoch loss=4.091246
Batch=1139, step=10740, lr=0.155500, batch loss=0.203587, epoch loss=4.294833
Batch=1199, step=10800, lr=0.155250, batch loss=0.154573, epoch loss=4.449406
Epoch=8, step=10800, lr=0.155250, epoch loss=4.449406
Batch=59, step=10860, lr=0.155000, batch loss=0.176631, epoch loss=0.176631
Batch=119, step=10920, lr=0.154750, batch loss=0.146992, epoch loss=0.323623
Batch=179, step=10980, lr=0.154500, batch loss=0.166376, epoch loss=0.489999
Batch=239, step=11040, lr=0.154250, batch loss=0.242148, epoch loss=0.732147
Batch=299, step=11100, lr=0.154000, batch loss=0.168803, epoch loss=0.900950
Batch=359, step=11160, lr=0.153750, batch loss=0.223414, epoch loss=1.124364
Batch=419, step=11220, lr=0.153500, batch loss=0.230530, epoch loss=1.354894
Batch=479, step=11280, lr=0.153250, batch loss=0.201420, epoch loss=1.556314
Batch=539, step=11340, lr=0.153000, batch loss=0.161162, epoch loss=1.717476
Batch=599, step=11400, lr=0.152750, batch loss=0.182297, epoch loss=1.899773
Batch=659, step=11460, lr=0.152500, batch loss=0.262989, epoch loss=2.162762
Batch=719, step=11520, lr=0.152250, batch loss=0.257267, epoch loss=2.420029
Batch=779, step=11580, lr=0.152000, batch loss=0.271762, epoch loss=2.691791
Batch=839, step=11640, lr=0.151750, batch loss=0.256030, epoch loss=2.947821
Batch=899, step=11700, lr=0.151250, batch loss=0.212075, epoch loss=3.159897
Batch=959, step=11760, lr=0.151250, batch loss=0.170665, epoch loss=3.330562
Batch=1019, step=11820, lr=0.151000, batch loss=0.263603, epoch loss=3.594165
Batch=1079, step=11880, lr=0.150750, batch loss=0.153038, epoch loss=3.747202
Batch=1139, step=11940, lr=0.150500, batch loss=0.183614, epoch loss=3.930816
Batch=1199, step=12000, lr=0.150250, batch loss=0.139574, epoch loss=4.070391
Epoch=9, step=12000, lr=0.150250, epoch loss=4.070391
Batch=59, step=12060, lr=0.150000, batch loss=0.158893, epoch loss=0.158893
Batch=119, step=12120, lr=0.149750, batch loss=0.128120, epoch loss=0.287013
Batch=179, step=12180, lr=0.149500, batch loss=0.152135, epoch loss=0.439148
Batch=239, step=12240, lr=0.149250, batch loss=0.221642, epoch loss=0.660790
Batch=299, step=12300, lr=0.149000, batch loss=0.144016, epoch loss=0.804806
Batch=359, step=12360, lr=0.148750, batch loss=0.196082, epoch loss=1.000888
Batch=419, step=12420, lr=0.148500, batch loss=0.205714, epoch loss=1.206602
Batch=479, step=12480, lr=0.148250, batch loss=0.179223, epoch loss=1.385825
Batch=539, step=12540, lr=0.148000, batch loss=0.142065, epoch loss=1.527890
Batch=599, step=12600, lr=0.147750, batch loss=0.150762, epoch loss=1.678651
Batch=659, step=12660, lr=0.147500, batch loss=0.223719, epoch loss=1.902370
Batch=719, step=12720, lr=0.147250, batch loss=0.234971, epoch loss=2.137341
Batch=779, step=12780, lr=0.147000, batch loss=0.251614, epoch loss=2.388954
Batch=839, step=12840, lr=0.146750, batch loss=0.224297, epoch loss=2.613251
Batch=899, step=12900, lr=0.146500, batch loss=0.193525, epoch loss=2.806777
Batch=959, step=12960, lr=0.146250, batch loss=0.159810, epoch loss=2.966587
Batch=1019, step=13020, lr=0.146000, batch loss=0.260577, epoch loss=3.227164
Batch=1079, step=13080, lr=0.145750, batch loss=0.117172, epoch loss=3.344336
Batch=1139, step=13140, lr=0.145500, batch loss=0.160457, epoch loss=3.504792
Batch=1199, step=13200, lr=0.145250, batch loss=0.119266, epoch loss=3.624058
Epoch=10, step=13200, lr=0.145250, epoch loss=3.624058
Batch=59, step=13260, lr=0.145000, batch loss=0.139997, epoch loss=0.139997
Batch=119, step=13320, lr=0.144750, batch loss=0.122210, epoch loss=0.262206
Batch=179, step=13380, lr=0.144500, batch loss=0.128098, epoch loss=0.390305
Batch=239, step=13440, lr=0.144250, batch loss=0.191851, epoch loss=0.582156
Batch=299, step=13500, lr=0.144000, batch loss=0.116787, epoch loss=0.698943
Batch=359, step=13560, lr=0.143750, batch loss=0.163403, epoch loss=0.862346
Batch=419, step=13620, lr=0.143500, batch loss=0.166459, epoch loss=1.028805
Batch=479, step=13680, lr=0.143250, batch loss=0.149364, epoch loss=1.178169
Batch=539, step=13740, lr=0.143000, batch loss=0.116133, epoch loss=1.294302
Batch=599, step=13800, lr=0.142750, batch loss=0.120035, epoch loss=1.414337
Batch=659, step=13860, lr=0.142500, batch loss=0.177663, epoch loss=1.591999
Batch=719, step=13920, lr=0.142250, batch loss=0.172535, epoch loss=1.764534
Batch=779, step=13980, lr=0.142000, batch loss=0.179667, epoch loss=1.944202
Batch=839, step=14040, lr=0.141750, batch loss=0.198385, epoch loss=2.142586
Batch=899, step=14100, lr=0.141500, batch loss=0.216579, epoch loss=2.359165
Batch=959, step=14160, lr=0.141250, batch loss=0.105135, epoch loss=2.464301
Batch=1019, step=14220, lr=0.141000, batch loss=0.193035, epoch loss=2.657336
Batch=1079, step=14280, lr=0.140750, batch loss=0.083936, epoch loss=2.741272
Batch=1139, step=14340, lr=0.140500, batch loss=0.138067, epoch loss=2.879339
Batch=1199, step=14400, lr=0.140250, batch loss=0.087928, epoch loss=2.967268
Epoch=11, step=14400, lr=0.140250, epoch loss=2.967268
Batch=59, step=14460, lr=0.140000, batch loss=0.102471, epoch loss=0.102471
Batch=119, step=14520, lr=0.139750, batch loss=0.099038, epoch loss=0.201509
Batch=179, step=14580, lr=0.139500, batch loss=0.099748, epoch loss=0.301257
Batch=239, step=14640, lr=0.139250, batch loss=0.142628, epoch loss=0.443885
Batch=299, step=14700, lr=0.139000, batch loss=0.073489, epoch loss=0.517375
Batch=359, step=14760, lr=0.138750, batch loss=0.122861, epoch loss=0.640235
Batch=419, step=14820, lr=0.138500, batch loss=0.131940, epoch loss=0.772175
Batch=479, step=14880, lr=0.138250, batch loss=0.098260, epoch loss=0.870435
Batch=539, step=14940, lr=0.138000, batch loss=0.101285, epoch loss=0.971720
Batch=599, step=15000, lr=0.137750, batch loss=0.083366, epoch loss=1.055086
Batch=659, step=15060, lr=0.137500, batch loss=0.127549, epoch loss=1.182634
Batch=719, step=15120, lr=0.137250, batch loss=0.132570, epoch loss=1.315204
Batch=779, step=15180, lr=0.137000, batch loss=0.180458, epoch loss=1.495662
Batch=839, step=15240, lr=0.136750, batch loss=0.186167, epoch loss=1.681829
Batch=899, step=15300, lr=0.136500, batch loss=0.303914, epoch loss=1.985743
Batch=959, step=15360, lr=0.136250, batch loss=0.055095, epoch loss=2.040839
Batch=1019, step=15420, lr=0.136000, batch loss=0.120277, epoch loss=2.161116
Batch=1079, step=15480, lr=0.135750, batch loss=0.059258, epoch loss=2.220374
Batch=1139, step=15540, lr=0.135500, batch loss=0.100424, epoch loss=2.320798
Batch=1199, step=15600, lr=0.135250, batch loss=0.063958, epoch loss=2.384756
Epoch=12, step=15600, lr=0.135250, epoch loss=2.384756
Batch=59, step=15660, lr=0.135000, batch loss=0.078030, epoch loss=0.078030
Batch=119, step=15720, lr=0.134750, batch loss=0.099929, epoch loss=0.177959
Batch=179, step=15780, lr=0.134500, batch loss=0.089027, epoch loss=0.266986
Batch=239, step=15840, lr=0.134250, batch loss=0.093363, epoch loss=0.360349
Batch=299, step=15900, lr=0.134000, batch loss=0.040026, epoch loss=0.400374
Batch=359, step=15960, lr=0.133750, batch loss=0.078247, epoch loss=0.478621
Batch=419, step=16020, lr=0.133500, batch loss=0.079121, epoch loss=0.557742
Batch=479, step=16080, lr=0.133250, batch loss=0.064295, epoch loss=0.622038
Batch=539, step=16140, lr=0.133000, batch loss=0.057691, epoch loss=0.679729
Batch=599, step=16200, lr=0.132750, batch loss=0.113282, epoch loss=0.793010
Batch=659, step=16260, lr=0.132500, batch loss=0.080376, epoch loss=0.873386
Batch=719, step=16320, lr=0.132250, batch loss=0.131237, epoch loss=1.004623
Batch=779, step=16380, lr=0.132000, batch loss=0.328837, epoch loss=1.333460
Batch=839, step=16440, lr=0.131750, batch loss=0.094450, epoch loss=1.427910
Batch=899, step=16500, lr=0.131500, batch loss=0.081109, epoch loss=1.509018
Batch=959, step=16560, lr=0.131250, batch loss=0.031896, epoch loss=1.540914
Batch=1019, step=16620, lr=0.131000, batch loss=0.065835, epoch loss=1.606749
Batch=1079, step=16680, lr=0.130750, batch loss=0.052778, epoch loss=1.659527
Batch=1139, step=16740, lr=0.130500, batch loss=0.090561, epoch loss=1.750088
Batch=1199, step=16800, lr=0.130250, batch loss=0.042284, epoch loss=1.792372
Epoch=13, step=16800, lr=0.130250, epoch loss=1.792372
Batch=59, step=16860, lr=0.130000, batch loss=0.036556, epoch loss=0.036556
Batch=119, step=16920, lr=0.129750, batch loss=0.037142, epoch loss=0.073697
Batch=179, step=16980, lr=0.129500, batch loss=0.043909, epoch loss=0.117607
Batch=239, step=17040, lr=0.129250, batch loss=0.062269, epoch loss=0.179876
Batch=299, step=17100, lr=0.129000, batch loss=0.030288, epoch loss=0.210164
Batch=359, step=17160, lr=0.128750, batch loss=0.046284, epoch loss=0.256448
Batch=419, step=17220, lr=0.128500, batch loss=0.067373, epoch loss=0.323821
Batch=479, step=17280, lr=0.128250, batch loss=0.022696, epoch loss=0.346517
Batch=539, step=17340, lr=0.128000, batch loss=0.028099, epoch loss=0.374616
Batch=599, step=17400, lr=0.127750, batch loss=0.037376, epoch loss=0.411992
Batch=659, step=17460, lr=0.127500, batch loss=0.062432, epoch loss=0.474424
Batch=719, step=17520, lr=0.127250, batch loss=0.111317, epoch loss=0.585741
Batch=779, step=17580, lr=0.127000, batch loss=0.054856, epoch loss=0.640597
Batch=839, step=17640, lr=0.126750, batch loss=0.098554, epoch loss=0.739151
Batch=899, step=17700, lr=0.126500, batch loss=0.049790, epoch loss=0.788940
Batch=959, step=17760, lr=0.126250, batch loss=0.018947, epoch loss=0.807887
Batch=1019, step=17820, lr=0.126000, batch loss=0.050072, epoch loss=0.857959
Batch=1079, step=17880, lr=0.125750, batch loss=0.052670, epoch loss=0.910629
Batch=1139, step=17940, lr=0.125500, batch loss=0.102508, epoch loss=1.013138
Batch=1199, step=18000, lr=0.125250, batch loss=0.026484, epoch loss=1.039622
Epoch=14, step=18000, lr=0.125250, epoch loss=1.039622
Batch=59, step=18060, lr=0.125000, batch loss=0.019348, epoch loss=0.019348
Batch=119, step=18120, lr=0.124750, batch loss=0.022473, epoch loss=0.041821
Batch=179, step=18180, lr=0.124500, batch loss=0.040177, epoch loss=0.081998
Batch=239, step=18240, lr=0.124250, batch loss=0.043046, epoch loss=0.125044
Batch=299, step=18300, lr=0.124000, batch loss=0.010426, epoch loss=0.135470
Batch=359, step=18360, lr=0.123750, batch loss=0.027743, epoch loss=0.163213
Batch=419, step=18420, lr=0.123500, batch loss=0.030830, epoch loss=0.194044
Batch=479, step=18480, lr=0.123250, batch loss=0.017553, epoch loss=0.211597
Batch=539, step=18540, lr=0.123000, batch loss=0.027681, epoch loss=0.239278
Batch=599, step=18600, lr=0.122750, batch loss=0.027393, epoch loss=0.266672
Batch=659, step=18660, lr=0.122500, batch loss=0.029599, epoch loss=0.296270
Batch=719, step=18720, lr=0.122250, batch loss=0.050638, epoch loss=0.346908
Batch=779, step=18780, lr=0.122000, batch loss=0.103199, epoch loss=0.450107
Batch=839, step=18840, lr=0.121750, batch loss=0.056028, epoch loss=0.506135
Batch=899, step=18900, lr=0.121500, batch loss=0.068014, epoch loss=0.574149
Batch=959, step=18960, lr=0.121250, batch loss=0.013636, epoch loss=0.587785
Batch=1019, step=19020, lr=0.121000, batch loss=0.019250, epoch loss=0.607036
Batch=1079, step=19080, lr=0.120750, batch loss=0.012425, epoch loss=0.619460
Batch=1139, step=19140, lr=0.120500, batch loss=0.030303, epoch loss=0.649763
Batch=1199, step=19200, lr=0.120250, batch loss=0.012265, epoch loss=0.662028
Epoch=15, step=19200, lr=0.120250, epoch loss=0.662028
Batch=59, step=19260, lr=0.120000, batch loss=0.010538, epoch loss=0.010538
Batch=119, step=19320, lr=0.119750, batch loss=0.025036, epoch loss=0.035574
Batch=179, step=19380, lr=0.119500, batch loss=0.070038, epoch loss=0.105612
Batch=239, step=19440, lr=0.119250, batch loss=0.028786, epoch loss=0.134397
Batch=299, step=19500, lr=0.119000, batch loss=0.009612, epoch loss=0.144010
Batch=359, step=19560, lr=0.118750, batch loss=0.024857, epoch loss=0.168866
Batch=419, step=19620, lr=0.118500, batch loss=0.020903, epoch loss=0.189769
Batch=479, step=19680, lr=0.118250, batch loss=0.007557, epoch loss=0.197326
Batch=539, step=19740, lr=0.118000, batch loss=0.017780, epoch loss=0.215106
Batch=599, step=19800, lr=0.117750, batch loss=0.023652, epoch loss=0.238758
Batch=659, step=19860, lr=0.117500, batch loss=0.019848, epoch loss=0.258606
Batch=719, step=19920, lr=0.117250, batch loss=0.054832, epoch loss=0.313438
Batch=779, step=19980, lr=0.117000, batch loss=0.082313, epoch loss=0.395751
Batch=839, step=20040, lr=0.116750, batch loss=0.031401, epoch loss=0.427152
Batch=899, step=20100, lr=0.116500, batch loss=0.032149, epoch loss=0.459302
Batch=959, step=20160, lr=0.116250, batch loss=0.011057, epoch loss=0.470359
Batch=1019, step=20220, lr=0.116000, batch loss=0.012508, epoch loss=0.482866
Batch=1079, step=20280, lr=0.115750, batch loss=0.004085, epoch loss=0.486951
Batch=1139, step=20340, lr=0.115500, batch loss=0.016933, epoch loss=0.503885
Batch=1199, step=20400, lr=0.115250, batch loss=0.006662, epoch loss=0.510546
Epoch=16, step=20400, lr=0.115250, epoch loss=0.510546
Batch=59, step=20460, lr=0.115000, batch loss=0.003490, epoch loss=0.003490
Batch=119, step=20520, lr=0.114750, batch loss=0.008556, epoch loss=0.012046
Batch=179, step=20580, lr=0.114500, batch loss=0.015390, epoch loss=0.027436
Batch=239, step=20640, lr=0.114250, batch loss=0.013135, epoch loss=0.040571
Batch=299, step=20700, lr=0.114000, batch loss=0.005028, epoch loss=0.045599
Batch=359, step=20760, lr=0.113750, batch loss=0.015600, epoch loss=0.061199
Batch=419, step=20820, lr=0.113500, batch loss=0.015203, epoch loss=0.076402
Batch=479, step=20880, lr=0.113250, batch loss=0.004294, epoch loss=0.080697
Batch=539, step=20940, lr=0.113000, batch loss=0.023759, epoch loss=0.104455
Batch=599, step=21000, lr=0.112750, batch loss=0.023519, epoch loss=0.127974
Batch=659, step=21060, lr=0.112500, batch loss=0.014997, epoch loss=0.142972
Batch=719, step=21120, lr=0.112250, batch loss=0.039566, epoch loss=0.182537
Batch=779, step=21180, lr=0.112000, batch loss=0.074276, epoch loss=0.256814
Batch=839, step=21240, lr=0.111750, batch loss=0.027222, epoch loss=0.284036
Batch=899, step=21300, lr=0.111500, batch loss=0.035071, epoch loss=0.319107
Batch=959, step=21360, lr=0.111250, batch loss=0.009990, epoch loss=0.329097
Batch=1019, step=21420, lr=0.111000, batch loss=0.011842, epoch loss=0.340939
Batch=1079, step=21480, lr=0.110750, batch loss=0.000703, epoch loss=0.341642
Batch=1139, step=21540, lr=0.110500, batch loss=0.013591, epoch loss=0.355233
Batch=1199, step=21600, lr=0.110250, batch loss=0.005501, epoch loss=0.360734
Epoch=17, step=21600, lr=0.110250, epoch loss=0.360734
Batch=59, step=21660, lr=0.110000, batch loss=0.002590, epoch loss=0.002590
Batch=119, step=21720, lr=0.109750, batch loss=0.006643, epoch loss=0.009234
Batch=179, step=21780, lr=0.109500, batch loss=0.012777, epoch loss=0.022011
Batch=239, step=21840, lr=0.109250, batch loss=0.009347, epoch loss=0.031358
Batch=299, step=21900, lr=0.109000, batch loss=0.003264, epoch loss=0.034622
Batch=359, step=21960, lr=0.108750, batch loss=0.015439, epoch loss=0.050061
Batch=419, step=22020, lr=0.108500, batch loss=0.012397, epoch loss=0.062458
Batch=479, step=22080, lr=0.108250, batch loss=0.002841, epoch loss=0.065299
Batch=539, step=22140, lr=0.108000, batch loss=0.018027, epoch loss=0.083325
Batch=599, step=22200, lr=0.107750, batch loss=0.017371, epoch loss=0.100696
Batch=659, step=22260, lr=0.107500, batch loss=0.015660, epoch loss=0.116356
Batch=719, step=22320, lr=0.107250, batch loss=0.023032, epoch loss=0.139388
Batch=779, step=22380, lr=0.107000, batch loss=0.028603, epoch loss=0.167991
Batch=839, step=22440, lr=0.106750, batch loss=0.029480, epoch loss=0.197471
Batch=899, step=22500, lr=0.106500, batch loss=0.023282, epoch loss=0.220752
Batch=959, step=22560, lr=0.106250, batch loss=0.010873, epoch loss=0.231625
Batch=1019, step=22620, lr=0.106000, batch loss=0.009616, epoch loss=0.241241
Batch=1079, step=22680, lr=0.105750, batch loss=0.002443, epoch loss=0.243685
Batch=1139, step=22740, lr=0.105500, batch loss=0.010389, epoch loss=0.254073
Batch=1199, step=22800, lr=0.105250, batch loss=0.005329, epoch loss=0.259402
Epoch=18, step=22800, lr=0.105250, epoch loss=0.259402
Batch=59, step=22860, lr=0.105000, batch loss=0.002711, epoch loss=0.002711
Batch=119, step=22920, lr=0.104750, batch loss=0.004596, epoch loss=0.007307
Batch=179, step=22980, lr=0.104500, batch loss=0.012652, epoch loss=0.019958
Batch=239, step=23040, lr=0.104250, batch loss=0.008760, epoch loss=0.028719
Batch=299, step=23100, lr=0.104000, batch loss=0.003757, epoch loss=0.032476
Batch=359, step=23160, lr=0.103750, batch loss=0.012280, epoch loss=0.044756
Batch=419, step=23220, lr=0.103500, batch loss=0.011646, epoch loss=0.056402
Batch=479, step=23280, lr=0.103250, batch loss=0.002369, epoch loss=0.058771
Batch=539, step=23340, lr=0.103000, batch loss=0.018137, epoch loss=0.076908
Batch=599, step=23400, lr=0.102750, batch loss=0.015082, epoch loss=0.091990
Batch=659, step=23460, lr=0.102500, batch loss=0.012882, epoch loss=0.104872
Batch=719, step=23520, lr=0.102250, batch loss=0.015850, epoch loss=0.120722
Batch=779, step=23580, lr=0.102000, batch loss=0.021018, epoch loss=0.141740
Batch=839, step=23640, lr=0.101750, batch loss=0.024445, epoch loss=0.166186
Batch=899, step=23700, lr=0.101500, batch loss=0.022725, epoch loss=0.188911
Batch=959, step=23760, lr=0.101250, batch loss=0.008308, epoch loss=0.197218
Batch=1019, step=23820, lr=0.101000, batch loss=0.008423, epoch loss=0.205642
Batch=1079, step=23880, lr=0.100750, batch loss=0.000933, epoch loss=0.206574
Batch=1139, step=23940, lr=0.100500, batch loss=0.009398, epoch loss=0.215972
Batch=1199, step=24000, lr=0.100250, batch loss=0.004484, epoch loss=0.220457
Epoch=19, step=24000, lr=0.100250, epoch loss=0.220457


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
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│**********************#*#*#######*###*#####*********************************************************│
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│******######**********..........%.........**************##*#####************************......%.%.%.│
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-22 15:30.47 ---> saved as "fe9ec4e305143c4ecd77aa53c373194d3524f355480cfe01bc63cd75fd2f3f4a"
Job succeeded
2025-03-22 15:30.49: Job succeeded