fedora-40-5.3_opam-2.3

2025-03-21 12:35.26: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (f874a4ef6a2411811f90ece5dd5e2dcdb77c2779) (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 f874a4ef
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 12:35.26: 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 12:35.26: 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 12:35.26: Waiting for resource in pool OCluster
2025-03-21 12:35.27: Waiting for worker…
2025-03-21 12:36.24: Got resource from pool OCluster
Building on toxis.caelum.ci.dev
All commits already cached
HEAD is now at f874a4ef Support non-diff "self" tensor inside backprop code


(from ocaml/opam:fedora-40-ocaml-5.3@sha256:9a3e2a687015db2704b91431286f4f84f9c6e8d286761ed5417eadf8288bcc9e)
2025-03-21 12:39.50 ---> 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                              162 kB/s |  27 kB     00:00
Fedora 40 - x86_64 - Updates                     65 kB/s | 6.9 kB     00:00
Fedora 40 - x86_64 - Updates                    3.2 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 12:40.04 ---> saved as "94cbd80bcc330ce623803fbb520a85cab1400e88c96764ea5c2e02cd7e19ad53"


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-03-21 12:40.05 ---> 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
Format upgrade done.
[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


<><> 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 12:41.56 ---> 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 12:41.56 ---> saved as "e1cd23eff74270a484a5911f8cc469d53dbcdcfafe79312b85310d9254a411b6"


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-03-21 12:41.56 ---> 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..6cf83229dd  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 12:43.37 ---> saved as "dab772aca77df98414fc328dd4b874f99de8a0ed482ec5e55cda5daf184a72c6"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-03-21 12:43.37 ---> 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 12:43.42 ---> saved as "bc242b916d36f5a95dd95336431aadab2520d42f08a0a9d7cf798fdf8a85a529"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-03-21 12:43.42 ---> 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                              134 kB/s |  27 kB     00:00
- Fedora 40 openh264 (From Cisco) - x86_64        9.1 kB/s | 989  B     00:00
- Fedora 40 - x86_64 - Updates                     63 kB/s | 6.9 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: 0:00:36 ago on Fri Mar 21 12:43:45 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            405 kB/s |  28 kB     00:00
- --------------------------------------------------------------------------------
- Total                                           104 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 12:44.23 ---> 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 angstrom.0.16.1  (cached)
-> retrieved base.v0.17.1  (cached)
-> retrieved bigarray-compat.1.1.0  (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 ppx_minidebug.2.1.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved dune.3.17.2, dune-configurator.3.17.2  (cached)
-> installed num.1.5-1
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved re.1.12.0  (cached)
-> 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 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 ocaml-compiler-libs.v0.17.0
-> installed printbox.0.12
-> installed re.1.12.0
-> installed cppo.1.8.0
-> 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 uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed base.v0.17.1
-> installed printbox-ext-plot.0.12
-> installed ctypes-foreign.0.23.0
-> installed variantslib.v0.17.0
-> installed fieldslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed ppx_sexp_conv.v0.17.0
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_base.v0.17.0
-> installed ppx_minidebug.2.1.0
-> 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 12:46.52 ---> saved as "8a6dc909c2f8092d37652e785545688022c93f063e0b881d32efb3c60109259c"


/src: (copy (src .) (dst /src))
2025-03-21 12:46.53 ---> saved as "e874bbfdb8a7950ae605192290e18108f0a1eb967b225bc6d924b3c0c483e5a5"


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


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


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test_ppx/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/47647ca2ba2d0bbc856e24d04b68cb34/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/9b6857bb49537f6ecf5c963b163d1647/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/9b6857bb49537f6ecf5c963b163d1647/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Retrieving commandline, environment, or config file variable ocannl_ll_ident_style
Not found, using default heuristic
Retrieving commandline, environment, or config file variable ocannl_cc_backend_optimization_level
Not found, using default 3
Retrieving commandline, environment, or config file variable ocannl_cc_backend_compiler_command
Not found, using default gcc
Retrieving commandline, environment, or config file variable ocannl_never_capture_stdout
Not found, using default false
Batch=59, step=60, lr=0.199750, batch loss=23.609453, epoch loss=23.609453
Batch=119, step=120, lr=0.199500, batch loss=8.516926, epoch loss=32.126379
Batch=179, step=180, lr=0.199250, batch loss=2.639251, epoch loss=34.765630
Batch=239, step=240, lr=0.199000, batch loss=0.852304, epoch loss=35.617934
Batch=299, step=300, lr=0.198750, batch loss=1.444952, epoch loss=37.062886
Batch=359, step=360, lr=0.198500, batch loss=1.336864, epoch loss=38.399751
Batch=419, step=420, lr=0.198250, batch loss=0.614359, epoch loss=39.014109
Batch=479, step=480, lr=0.198000, batch loss=0.794791, epoch loss=39.808900
Batch=539, step=540, lr=0.197750, batch loss=0.651963, epoch loss=40.460863
Batch=599, step=600, lr=0.197500, batch loss=1.084678, epoch loss=41.545541
Batch=659, step=660, lr=0.197250, batch loss=0.482492, epoch loss=42.028033
Batch=719, step=720, lr=0.197250, batch loss=0.412679, epoch loss=42.440712
Batch=779, step=780, lr=0.196750, batch loss=0.470762, epoch loss=42.911475
Batch=839, step=840, lr=0.196750, batch loss=0.445232, epoch loss=43.356707
Batch=899, step=900, lr=0.196250, batch loss=0.386251, epoch loss=43.742957
Batch=959, step=960, lr=0.196000, batch loss=0.251510, epoch loss=43.994467
Batch=1019, step=1020, lr=0.195750, batch loss=0.471140, epoch loss=44.465607
Batch=1079, step=1080, lr=0.195750, batch loss=0.247945, epoch loss=44.713552
Batch=1139, step=1140, lr=0.195250, batch loss=0.318905, epoch loss=45.032457
Batch=1199, step=1200, lr=0.195000, batch loss=0.265959, epoch loss=45.298416
Epoch=0, step=1200, lr=0.195000, epoch loss=45.298416
Batch=59, step=1260, lr=0.194750, batch loss=0.264420, epoch loss=0.264420
Batch=119, step=1320, lr=0.194500, batch loss=0.206106, epoch loss=0.470526
Batch=179, step=1380, lr=0.194250, batch loss=0.245601, epoch loss=0.716127
Batch=239, step=1440, lr=0.194250, batch loss=0.348730, epoch loss=1.064858
Batch=299, step=1500, lr=0.194000, batch loss=0.241162, epoch loss=1.306020
Batch=359, step=1560, lr=0.193750, batch loss=0.315407, epoch loss=1.621427
Batch=419, step=1620, lr=0.193500, batch loss=0.310223, epoch loss=1.931650
Batch=479, step=1680, lr=0.193250, batch loss=0.277685, epoch loss=2.209335
Batch=539, step=1740, lr=0.193000, batch loss=0.210543, epoch loss=2.419878
Batch=599, step=1800, lr=0.192750, batch loss=0.250755, epoch loss=2.670633
Batch=659, step=1860, lr=0.192500, batch loss=0.372200, epoch loss=3.042833
Batch=719, step=1920, lr=0.192250, batch loss=0.364466, epoch loss=3.407299
Batch=779, step=1980, lr=0.192000, batch loss=0.384257, epoch loss=3.791556
Batch=839, step=2040, lr=0.191500, batch loss=0.341713, epoch loss=4.133270
Batch=899, step=2100, lr=0.191500, batch loss=0.296783, epoch loss=4.430052
Batch=959, step=2160, lr=0.191250, batch loss=0.214991, epoch loss=4.645043
Batch=1019, step=2220, lr=0.191000, batch loss=0.332505, epoch loss=4.977548
Batch=1079, step=2280, lr=0.190750, batch loss=0.195762, epoch loss=5.173310
Batch=1139, step=2340, lr=0.190500, batch loss=0.257172, epoch loss=5.430482
Batch=1199, step=2400, lr=0.190250, batch loss=0.211744, epoch loss=5.642225
Epoch=1, step=2400, lr=0.190250, epoch loss=5.642225
Batch=59, step=2460, lr=0.189750, batch loss=0.228542, epoch loss=0.228542
Batch=119, step=2520, lr=0.189500, batch loss=0.195296, epoch loss=0.423838
Batch=179, step=2580, lr=0.189500, batch loss=0.221021, epoch loss=0.644859
Batch=239, step=2640, lr=0.189250, batch loss=0.328310, epoch loss=0.973169
Batch=299, step=2700, lr=0.189000, batch loss=0.204648, epoch loss=1.177817
Batch=359, step=2760, lr=0.188750, batch loss=0.288795, epoch loss=1.466612
Batch=419, step=2820, lr=0.188500, batch loss=0.280950, epoch loss=1.747562
Batch=479, step=2880, lr=0.188250, batch loss=0.252751, epoch loss=2.000313
Batch=539, step=2940, lr=0.188000, batch loss=0.192525, epoch loss=2.192838
Batch=599, step=3000, lr=0.187500, batch loss=0.225469, epoch loss=2.418307
Batch=659, step=3060, lr=0.187500, batch loss=0.332229, epoch loss=2.750536
Batch=719, step=3120, lr=0.187000, batch loss=0.331277, epoch loss=3.081812
Batch=779, step=3180, lr=0.187000, batch loss=0.359774, epoch loss=3.441586
Batch=839, step=3240, lr=0.186500, batch loss=0.324913, epoch loss=3.766499
Batch=899, step=3300, lr=0.186500, batch loss=0.295877, epoch loss=4.062376
Batch=959, step=3360, lr=0.186250, batch loss=0.237059, epoch loss=4.299435
Batch=1019, step=3420, lr=0.186000, batch loss=0.361870, epoch loss=4.661305
Batch=1079, step=3480, lr=0.185750, batch loss=0.235665, epoch loss=4.896970
Batch=1139, step=3540, lr=0.185500, batch loss=0.264589, epoch loss=5.161559
Batch=1199, step=3600, lr=0.185250, batch loss=0.201466, epoch loss=5.363025
Epoch=2, step=3600, lr=0.185250, epoch loss=5.363025
Batch=59, step=3660, lr=0.185000, batch loss=0.222299, epoch loss=0.222299
Batch=119, step=3720, lr=0.184500, batch loss=0.185125, epoch loss=0.407424
Batch=179, step=3780, lr=0.184250, batch loss=0.211569, epoch loss=0.618993
Batch=239, step=3840, lr=0.184250, batch loss=0.316015, epoch loss=0.935008
Batch=299, step=3900, lr=0.183750, batch loss=0.205138, epoch loss=1.140146
Batch=359, step=3960, lr=0.183750, batch loss=0.282582, epoch loss=1.422729
Batch=419, step=4020, lr=0.183500, batch loss=0.272933, epoch loss=1.695662
Batch=479, step=4080, lr=0.183250, batch loss=0.253405, epoch loss=1.949067
Batch=539, step=4140, lr=0.183000, batch loss=0.196431, epoch loss=2.145498
Batch=599, step=4200, lr=0.182500, batch loss=0.242286, epoch loss=2.387785
Batch=659, step=4260, lr=0.182500, batch loss=0.329062, epoch loss=2.716847
Batch=719, step=4320, lr=0.182250, batch loss=0.327306, epoch loss=3.044153
Batch=779, step=4380, lr=0.182000, batch loss=0.352466, epoch loss=3.396620
Batch=839, step=4440, lr=0.181750, batch loss=0.317491, epoch loss=3.714110
Batch=899, step=4500, lr=0.181250, batch loss=0.286076, epoch loss=4.000187
Batch=959, step=4560, lr=0.181000, batch loss=0.241176, epoch loss=4.241363
Batch=1019, step=4620, lr=0.181000, batch loss=0.334535, epoch loss=4.575898
Batch=1079, step=4680, lr=0.180750, batch loss=0.212926, epoch loss=4.788824
Batch=1139, step=4740, lr=0.180500, batch loss=0.251189, epoch loss=5.040013
Batch=1199, step=4800, lr=0.180250, batch loss=0.191745, epoch loss=5.231758
Epoch=3, step=4800, lr=0.180250, epoch loss=5.231758
Batch=59, step=4860, lr=0.180000, batch loss=0.226912, epoch loss=0.226912
Batch=119, step=4920, lr=0.179500, batch loss=0.191564, epoch loss=0.418476
Batch=179, step=4980, lr=0.179250, batch loss=0.206409, epoch loss=0.624885
Batch=239, step=5040, lr=0.179250, batch loss=0.309607, epoch loss=0.934492
Batch=299, step=5100, lr=0.179000, batch loss=0.207644, epoch loss=1.142136
Batch=359, step=5160, lr=0.178750, batch loss=0.275156, epoch loss=1.417292
Batch=419, step=5220, lr=0.178500, batch loss=0.268741, epoch loss=1.686033
Batch=479, step=5280, lr=0.178250, batch loss=0.253662, epoch loss=1.939695
Batch=539, step=5340, lr=0.178000, batch loss=0.191892, epoch loss=2.131587
Batch=599, step=5400, lr=0.177500, batch loss=0.229790, epoch loss=2.361377
Batch=659, step=5460, lr=0.177500, batch loss=0.326042, epoch loss=2.687419
Batch=719, step=5520, lr=0.177250, batch loss=0.326760, epoch loss=3.014179
Batch=779, step=5580, lr=0.177000, batch loss=0.346064, epoch loss=3.360243
Batch=839, step=5640, lr=0.176750, batch loss=0.309536, epoch loss=3.669779
Batch=899, step=5700, lr=0.176500, batch loss=0.273286, epoch loss=3.943065
Batch=959, step=5760, lr=0.176250, batch loss=0.216183, epoch loss=4.159248
Batch=1019, step=5820, lr=0.176000, batch loss=0.338943, epoch loss=4.498191
Batch=1079, step=5880, lr=0.175750, batch loss=0.207450, epoch loss=4.705641
Batch=1139, step=5940, lr=0.175500, batch loss=0.240155, epoch loss=4.945797
Batch=1199, step=6000, lr=0.175250, batch loss=0.187600, epoch loss=5.133397
Epoch=4, step=6000, lr=0.175250, epoch loss=5.133397
Batch=59, step=6060, lr=0.175000, batch loss=0.230664, epoch loss=0.230664
Batch=119, step=6120, lr=0.174750, batch loss=0.188208, epoch loss=0.418872
Batch=179, step=6180, lr=0.174500, batch loss=0.202322, epoch loss=0.621194
Batch=239, step=6240, lr=0.174250, batch loss=0.303505, epoch loss=0.924698
Batch=299, step=6300, lr=0.174000, batch loss=0.212438, epoch loss=1.137137
Batch=359, step=6360, lr=0.173750, batch loss=0.273620, epoch loss=1.410757
Batch=419, step=6420, lr=0.173500, batch loss=0.267795, epoch loss=1.678553
Batch=479, step=6480, lr=0.173250, batch loss=0.241786, epoch loss=1.920339
Batch=539, step=6540, lr=0.173000, batch loss=0.196114, epoch loss=2.116453
Batch=599, step=6600, lr=0.172750, batch loss=0.233254, epoch loss=2.349707
Batch=659, step=6660, lr=0.172250, batch loss=0.314839, epoch loss=2.664546
Batch=719, step=6720, lr=0.172250, batch loss=0.320220, epoch loss=2.984765
Batch=779, step=6780, lr=0.172000, batch loss=0.341570, epoch loss=3.326335
Batch=839, step=6840, lr=0.171750, batch loss=0.299910, epoch loss=3.626245
Batch=899, step=6900, lr=0.171500, batch loss=0.263645, epoch loss=3.889890
Batch=959, step=6960, lr=0.171250, batch loss=0.207676, epoch loss=4.097566
Batch=1019, step=7020, lr=0.171000, batch loss=0.328469, epoch loss=4.426035
Batch=1079, step=7080, lr=0.170750, batch loss=0.174633, epoch loss=4.600668
Batch=1139, step=7140, lr=0.170500, batch loss=0.212908, epoch loss=4.813575
Batch=1199, step=7200, lr=0.170250, batch loss=0.191049, epoch loss=5.004625
Epoch=5, step=7200, lr=0.170250, epoch loss=5.004625
Batch=59, step=7260, lr=0.170000, batch loss=0.225736, epoch loss=0.225736
Batch=119, step=7320, lr=0.169750, batch loss=0.190418, epoch loss=0.416153
Batch=179, step=7380, lr=0.169500, batch loss=0.194790, epoch loss=0.610944
Batch=239, step=7440, lr=0.169250, batch loss=0.293048, epoch loss=0.903992
Batch=299, step=7500, lr=0.169000, batch loss=0.205091, epoch loss=1.109083
Batch=359, step=7560, lr=0.168750, batch loss=0.264187, epoch loss=1.373270
Batch=419, step=7620, lr=0.168500, batch loss=0.259450, epoch loss=1.632719
Batch=479, step=7680, lr=0.168250, batch loss=0.234700, epoch loss=1.867420
Batch=539, step=7740, lr=0.168000, batch loss=0.192255, epoch loss=2.059675
Batch=599, step=7800, lr=0.167750, batch loss=0.228850, epoch loss=2.288525
Batch=659, step=7860, lr=0.167500, batch loss=0.305090, epoch loss=2.593615
Batch=719, step=7920, lr=0.167250, batch loss=0.310262, epoch loss=2.903877
Batch=779, step=7980, lr=0.167000, batch loss=0.329749, epoch loss=3.233626
Batch=839, step=8040, lr=0.166750, batch loss=0.293375, epoch loss=3.527000
Batch=899, step=8100, lr=0.166500, batch loss=0.263413, epoch loss=3.790414
Batch=959, step=8160, lr=0.166250, batch loss=0.198172, epoch loss=3.988585
Batch=1019, step=8220, lr=0.166000, batch loss=0.323304, epoch loss=4.311889
Batch=1079, step=8280, lr=0.165750, batch loss=0.190038, epoch loss=4.501927
Batch=1139, step=8340, lr=0.165500, batch loss=0.219982, epoch loss=4.721909
Batch=1199, step=8400, lr=0.165250, batch loss=0.173867, epoch loss=4.895776
Epoch=6, step=8400, lr=0.165250, epoch loss=4.895776
Batch=59, step=8460, lr=0.165000, batch loss=0.211026, epoch loss=0.211026
Batch=119, step=8520, lr=0.164750, batch loss=0.173323, epoch loss=0.384349
Batch=179, step=8580, lr=0.164500, batch loss=0.188548, epoch loss=0.572897
Batch=239, step=8640, lr=0.164250, batch loss=0.280435, epoch loss=0.853333
Batch=299, step=8700, lr=0.164000, batch loss=0.188976, epoch loss=1.042308
Batch=359, step=8760, lr=0.163750, batch loss=0.245266, epoch loss=1.287574
Batch=419, step=8820, lr=0.163500, batch loss=0.238943, epoch loss=1.526517
Batch=479, step=8880, lr=0.163250, batch loss=0.214662, epoch loss=1.741179
Batch=539, step=8940, lr=0.163000, batch loss=0.178487, epoch loss=1.919666
Batch=599, step=9000, lr=0.162750, batch loss=0.219704, epoch loss=2.139370
Batch=659, step=9060, lr=0.162500, batch loss=0.293882, epoch loss=2.433252
Batch=719, step=9120, lr=0.162250, batch loss=0.296447, epoch loss=2.729699
Batch=779, step=9180, lr=0.162000, batch loss=0.315276, epoch loss=3.044976
Batch=839, step=9240, lr=0.161750, batch loss=0.281859, epoch loss=3.326835
Batch=899, step=9300, lr=0.161500, batch loss=0.253468, epoch loss=3.580303
Batch=959, step=9360, lr=0.161250, batch loss=0.197914, epoch loss=3.778217
Batch=1019, step=9420, lr=0.161000, batch loss=0.311386, epoch loss=4.089602
Batch=1079, step=9480, lr=0.160750, batch loss=0.196441, epoch loss=4.286044
Batch=1139, step=9540, lr=0.160500, batch loss=0.209981, epoch loss=4.496024
Batch=1199, step=9600, lr=0.160250, batch loss=0.167152, epoch loss=4.663176
Epoch=7, step=9600, lr=0.160250, epoch loss=4.663176
Batch=59, step=9660, lr=0.160000, batch loss=0.195849, epoch loss=0.195849
Batch=119, step=9720, lr=0.159750, batch loss=0.167828, epoch loss=0.363677
Batch=179, step=9780, lr=0.159500, batch loss=0.179436, epoch loss=0.543112
Batch=239, step=9840, lr=0.159250, batch loss=0.263433, epoch loss=0.806545
Batch=299, step=9900, lr=0.159000, batch loss=0.183758, epoch loss=0.990303
Batch=359, step=9960, lr=0.158750, batch loss=0.243959, epoch loss=1.234263
Batch=419, step=10020, lr=0.158500, batch loss=0.238550, epoch loss=1.472813
Batch=479, step=10080, lr=0.158250, batch loss=0.229143, epoch loss=1.701956
Batch=539, step=10140, lr=0.157750, batch loss=0.186274, epoch loss=1.888230
Batch=599, step=10200, lr=0.157750, batch loss=0.204477, epoch loss=2.092707
Batch=659, step=10260, lr=0.157500, batch loss=0.283541, epoch loss=2.376248
Batch=719, step=10320, lr=0.157250, batch loss=0.287743, epoch loss=2.663990
Batch=779, step=10380, lr=0.157000, batch loss=0.297029, epoch loss=2.961019
Batch=839, step=10440, lr=0.156750, batch loss=0.275143, epoch loss=3.236162
Batch=899, step=10500, lr=0.156250, batch loss=0.237498, epoch loss=3.473660
Batch=959, step=10560, lr=0.156250, batch loss=0.181416, epoch loss=3.655076
Batch=1019, step=10620, lr=0.156000, batch loss=0.299359, epoch loss=3.954435
Batch=1079, step=10680, lr=0.155750, batch loss=0.177506, epoch loss=4.131940
Batch=1139, step=10740, lr=0.155500, batch loss=0.200283, epoch loss=4.332223
Batch=1199, step=10800, lr=0.155250, batch loss=0.155623, epoch loss=4.487846
Epoch=8, step=10800, lr=0.155250, epoch loss=4.487846
Batch=59, step=10860, lr=0.155000, batch loss=0.179052, epoch loss=0.179052
Batch=119, step=10920, lr=0.154500, batch loss=0.153306, epoch loss=0.332358
Batch=179, step=10980, lr=0.154500, batch loss=0.167792, epoch loss=0.500150
Batch=239, step=11040, lr=0.154250, batch loss=0.243455, epoch loss=0.743605
Batch=299, step=11100, lr=0.153750, batch loss=0.172955, epoch loss=0.916560
Batch=359, step=11160, lr=0.153750, batch loss=0.221285, epoch loss=1.137845
Batch=419, step=11220, lr=0.153500, batch loss=0.219261, epoch loss=1.357105
Batch=479, step=11280, lr=0.153250, batch loss=0.211591, epoch loss=1.568696
Batch=539, step=11340, lr=0.153000, batch loss=0.159472, epoch loss=1.728168
Batch=599, step=11400, lr=0.152750, batch loss=0.179884, epoch loss=1.908052
Batch=659, step=11460, lr=0.152250, batch loss=0.268113, epoch loss=2.176165
Batch=719, step=11520, lr=0.152000, batch loss=0.257840, epoch loss=2.434005
Batch=779, step=11580, lr=0.152000, batch loss=0.275529, epoch loss=2.709533
Batch=839, step=11640, lr=0.151750, batch loss=0.257782, epoch loss=2.967315
Batch=899, step=11700, lr=0.151500, batch loss=0.214878, epoch loss=3.182194
Batch=959, step=11760, lr=0.151250, batch loss=0.169287, epoch loss=3.351481
Batch=1019, step=11820, lr=0.150750, batch loss=0.268200, epoch loss=3.619681
Batch=1079, step=11880, lr=0.150750, batch loss=0.148916, epoch loss=3.768598
Batch=1139, step=11940, lr=0.150500, batch loss=0.187160, epoch loss=3.955758
Batch=1199, step=12000, lr=0.150250, batch loss=0.140124, epoch loss=4.095882
Epoch=9, step=12000, lr=0.150250, epoch loss=4.095882
Batch=59, step=12060, lr=0.149750, batch loss=0.165387, epoch loss=0.165387
Batch=119, step=12120, lr=0.149500, batch loss=0.135426, epoch loss=0.300813
Batch=179, step=12180, lr=0.149250, batch loss=0.152770, epoch loss=0.453582
Batch=239, step=12240, lr=0.149250, batch loss=0.222136, epoch loss=0.675718
Batch=299, step=12300, lr=0.149000, batch loss=0.142755, epoch loss=0.818473
Batch=359, step=12360, lr=0.148750, batch loss=0.199566, epoch loss=1.018039
Batch=419, step=12420, lr=0.148500, batch loss=0.207698, epoch loss=1.225737
Batch=479, step=12480, lr=0.148250, batch loss=0.180838, epoch loss=1.406575
Batch=539, step=12540, lr=0.148000, batch loss=0.143031, epoch loss=1.549606
Batch=599, step=12600, lr=0.147750, batch loss=0.151074, epoch loss=1.700680
Batch=659, step=12660, lr=0.147500, batch loss=0.229242, epoch loss=1.929921
Batch=719, step=12720, lr=0.147250, batch loss=0.240524, epoch loss=2.170445
Batch=779, step=12780, lr=0.147000, batch loss=0.265887, epoch loss=2.436332
Batch=839, step=12840, lr=0.146750, batch loss=0.237644, epoch loss=2.673976
Batch=899, step=12900, lr=0.146500, batch loss=0.205584, epoch loss=2.879560
Batch=959, step=12960, lr=0.146250, batch loss=0.150646, epoch loss=3.030205
Batch=1019, step=13020, lr=0.146000, batch loss=0.270853, epoch loss=3.301058
Batch=1079, step=13080, lr=0.145750, batch loss=0.111820, epoch loss=3.412878
Batch=1139, step=13140, lr=0.145500, batch loss=0.153377, epoch loss=3.566255
Batch=1199, step=13200, lr=0.145000, batch loss=0.119052, epoch loss=3.685307
Epoch=10, step=13200, lr=0.145000, epoch loss=3.685307
Batch=59, step=13260, lr=0.145000, batch loss=0.138933, epoch loss=0.138933
Batch=119, step=13320, lr=0.144750, batch loss=0.120206, epoch loss=0.259138
Batch=179, step=13380, lr=0.144500, batch loss=0.129211, epoch loss=0.388350
Batch=239, step=13440, lr=0.144250, batch loss=0.185630, epoch loss=0.573980
Batch=299, step=13500, lr=0.144000, batch loss=0.117035, epoch loss=0.691015
Batch=359, step=13560, lr=0.143500, batch loss=0.163142, epoch loss=0.854157
Batch=419, step=13620, lr=0.143500, batch loss=0.164229, epoch loss=1.018386
Batch=479, step=13680, lr=0.143250, batch loss=0.148367, epoch loss=1.166753
Batch=539, step=13740, lr=0.142750, batch loss=0.121155, epoch loss=1.287909
Batch=599, step=13800, lr=0.142750, batch loss=0.122703, epoch loss=1.410612
Batch=659, step=13860, lr=0.142500, batch loss=0.178679, epoch loss=1.589291
Batch=719, step=13920, lr=0.142250, batch loss=0.179128, epoch loss=1.768418
Batch=779, step=13980, lr=0.142000, batch loss=0.200497, epoch loss=1.968915
Batch=839, step=14040, lr=0.141750, batch loss=0.189284, epoch loss=2.158199
Batch=899, step=14100, lr=0.141500, batch loss=0.160410, epoch loss=2.318609
Batch=959, step=14160, lr=0.141250, batch loss=0.136248, epoch loss=2.454856
Batch=1019, step=14220, lr=0.141000, batch loss=0.282651, epoch loss=2.737507
Batch=1079, step=14280, lr=0.140750, batch loss=0.087928, epoch loss=2.825436
Batch=1139, step=14340, lr=0.140500, batch loss=0.133592, epoch loss=2.959028
Batch=1199, step=14400, lr=0.140250, batch loss=0.096219, epoch loss=3.055247
Epoch=11, step=14400, lr=0.140250, epoch loss=3.055247
Batch=59, step=14460, lr=0.140000, batch loss=0.120854, epoch loss=0.120854
Batch=119, step=14520, lr=0.139750, batch loss=0.107401, epoch loss=0.228255
Batch=179, step=14580, lr=0.139250, batch loss=0.105917, epoch loss=0.334172
Batch=239, step=14640, lr=0.139000, batch loss=0.143935, epoch loss=0.478107
Batch=299, step=14700, lr=0.139000, batch loss=0.081336, epoch loss=0.559443
Batch=359, step=14760, lr=0.138750, batch loss=0.121653, epoch loss=0.681096
Batch=419, step=14820, lr=0.138500, batch loss=0.126648, epoch loss=0.807744
Batch=479, step=14880, lr=0.138250, batch loss=0.108192, epoch loss=0.915936
Batch=539, step=14940, lr=0.138000, batch loss=0.110088, epoch loss=1.026023
Batch=599, step=15000, lr=0.137750, batch loss=0.086938, epoch loss=1.112961
Batch=659, step=15060, lr=0.137500, batch loss=0.131742, epoch loss=1.244703
Batch=719, step=15120, lr=0.137250, batch loss=0.120147, epoch loss=1.364850
Batch=779, step=15180, lr=0.137000, batch loss=0.127828, epoch loss=1.492678
Batch=839, step=15240, lr=0.136750, batch loss=0.152696, epoch loss=1.645374
Batch=899, step=15300, lr=0.136500, batch loss=0.215143, epoch loss=1.860517
Batch=959, step=15360, lr=0.136250, batch loss=0.065026, epoch loss=1.925543
Batch=1019, step=15420, lr=0.136000, batch loss=0.162011, epoch loss=2.087554
Batch=1079, step=15480, lr=0.135750, batch loss=0.053449, epoch loss=2.141004
Batch=1139, step=15540, lr=0.135500, batch loss=0.110773, epoch loss=2.251777
Batch=1199, step=15600, lr=0.135250, batch loss=0.057811, epoch loss=2.309588
Epoch=12, step=15600, lr=0.135250, epoch loss=2.309588
Batch=59, step=15660, lr=0.135000, batch loss=0.084306, epoch loss=0.084306
Batch=119, step=15720, lr=0.134750, batch loss=0.131861, epoch loss=0.216167
Batch=179, step=15780, lr=0.134500, batch loss=0.095905, epoch loss=0.312072
Batch=239, step=15840, lr=0.134250, batch loss=0.096474, epoch loss=0.408546
Batch=299, step=15900, lr=0.134000, batch loss=0.040104, epoch loss=0.448650
Batch=359, step=15960, lr=0.133750, batch loss=0.082074, epoch loss=0.530724
Batch=419, step=16020, lr=0.133500, batch loss=0.083893, epoch loss=0.614616
Batch=479, step=16080, lr=0.133250, batch loss=0.071888, epoch loss=0.686504
Batch=539, step=16140, lr=0.133000, batch loss=0.060553, epoch loss=0.747057
Batch=599, step=16200, lr=0.132750, batch loss=0.138421, epoch loss=0.885479
Batch=659, step=16260, lr=0.132500, batch loss=0.088024, epoch loss=0.973503
Batch=719, step=16320, lr=0.132250, batch loss=0.127786, epoch loss=1.101288
Batch=779, step=16380, lr=0.132000, batch loss=0.277030, epoch loss=1.378318
Batch=839, step=16440, lr=0.131750, batch loss=0.091966, epoch loss=1.470284
Batch=899, step=16500, lr=0.131250, batch loss=0.076516, epoch loss=1.546801
Batch=959, step=16560, lr=0.131250, batch loss=0.033045, epoch loss=1.579845
Batch=1019, step=16620, lr=0.131000, batch loss=0.069624, epoch loss=1.649470
Batch=1079, step=16680, lr=0.130750, batch loss=0.047450, epoch loss=1.696920
Batch=1139, step=16740, lr=0.130250, batch loss=0.086147, epoch loss=1.783067
Batch=1199, step=16800, lr=0.130250, batch loss=0.039604, epoch loss=1.822672
Epoch=13, step=16800, lr=0.130250, epoch loss=1.822672
Batch=59, step=16860, lr=0.130000, batch loss=0.034188, epoch loss=0.034188
Batch=119, step=16920, lr=0.129750, batch loss=0.034850, epoch loss=0.069038
Batch=179, step=16980, lr=0.129500, batch loss=0.043449, epoch loss=0.112487
Batch=239, step=17040, lr=0.129250, batch loss=0.059379, epoch loss=0.171867
Batch=299, step=17100, lr=0.129000, batch loss=0.021698, epoch loss=0.193564
Batch=359, step=17160, lr=0.128750, batch loss=0.043386, epoch loss=0.236950
Batch=419, step=17220, lr=0.128500, batch loss=0.062601, epoch loss=0.299551
Batch=479, step=17280, lr=0.128250, batch loss=0.026971, epoch loss=0.326523
Batch=539, step=17340, lr=0.127750, batch loss=0.031203, epoch loss=0.357726
Batch=599, step=17400, lr=0.127500, batch loss=0.035543, epoch loss=0.393269
Batch=659, step=17460, lr=0.127500, batch loss=0.047694, epoch loss=0.440962
Batch=719, step=17520, lr=0.127250, batch loss=0.047996, epoch loss=0.488958
Batch=779, step=17580, lr=0.127000, batch loss=0.085900, epoch loss=0.574858
Batch=839, step=17640, lr=0.126750, batch loss=0.238091, epoch loss=0.812949
Batch=899, step=17700, lr=0.126500, batch loss=0.054172, epoch loss=0.867121
Batch=959, step=17760, lr=0.126250, batch loss=0.023837, epoch loss=0.890958
Batch=1019, step=17820, lr=0.126000, batch loss=0.050143, epoch loss=0.941102
Batch=1079, step=17880, lr=0.125500, batch loss=0.026355, epoch loss=0.967456
Batch=1139, step=17940, lr=0.125500, batch loss=0.059567, epoch loss=1.027023
Batch=1199, step=18000, lr=0.125250, batch loss=0.023675, epoch loss=1.050698
Epoch=14, step=18000, lr=0.125250, epoch loss=1.050698
Batch=59, step=18060, lr=0.125000, batch loss=0.014081, epoch loss=0.014081
Batch=119, step=18120, lr=0.124750, batch loss=0.019713, epoch loss=0.033795
Batch=179, step=18180, lr=0.124500, batch loss=0.030115, epoch loss=0.063910
Batch=239, step=18240, lr=0.124250, batch loss=0.036002, epoch loss=0.099912
Batch=299, step=18300, lr=0.124000, batch loss=0.010550, epoch loss=0.110461
Batch=359, step=18360, lr=0.123750, batch loss=0.025388, epoch loss=0.135849
Batch=419, step=18420, lr=0.123250, batch loss=0.033883, epoch loss=0.169732
Batch=479, step=18480, lr=0.123000, batch loss=0.031121, epoch loss=0.200853
Batch=539, step=18540, lr=0.123000, batch loss=0.056483, epoch loss=0.257336
Batch=599, step=18600, lr=0.122500, batch loss=0.027887, epoch loss=0.285223
Batch=659, step=18660, lr=0.122500, batch loss=0.032393, epoch loss=0.317616
Batch=719, step=18720, lr=0.122250, batch loss=0.032806, epoch loss=0.350422
Batch=779, step=18780, lr=0.122000, batch loss=0.086215, epoch loss=0.436637
Batch=839, step=18840, lr=0.121750, batch loss=0.060868, epoch loss=0.497505
Batch=899, step=18900, lr=0.121250, batch loss=0.076582, epoch loss=0.574087
Batch=959, step=18960, lr=0.121250, batch loss=0.014220, epoch loss=0.588308
Batch=1019, step=19020, lr=0.121000, batch loss=0.017353, epoch loss=0.605660
Batch=1079, step=19080, lr=0.120500, batch loss=0.005276, epoch loss=0.610936
Batch=1139, step=19140, lr=0.120500, batch loss=0.025034, epoch loss=0.635971
Batch=1199, step=19200, lr=0.120250, batch loss=0.010151, epoch loss=0.646122
Epoch=15, step=19200, lr=0.120250, epoch loss=0.646122
Batch=59, step=19260, lr=0.120000, batch loss=0.005077, epoch loss=0.005077
Batch=119, step=19320, lr=0.119750, batch loss=0.019531, epoch loss=0.024608
Batch=179, step=19380, lr=0.119500, batch loss=0.052777, epoch loss=0.077385
Batch=239, step=19440, lr=0.119250, batch loss=0.024853, epoch loss=0.102238
Batch=299, step=19500, lr=0.119000, batch loss=0.015233, epoch loss=0.117471
Batch=359, step=19560, lr=0.118500, batch loss=0.034932, epoch loss=0.152403
Batch=419, step=19620, lr=0.118500, batch loss=0.021514, epoch loss=0.173917
Batch=479, step=19680, lr=0.118250, batch loss=0.008314, epoch loss=0.182231
Batch=539, step=19740, lr=0.118000, batch loss=0.020085, epoch loss=0.202316
Batch=599, step=19800, lr=0.117750, batch loss=0.025353, epoch loss=0.227669
Batch=659, step=19860, lr=0.117500, batch loss=0.020311, epoch loss=0.247980
Batch=719, step=19920, lr=0.117000, batch loss=0.055099, epoch loss=0.303078
Batch=779, step=19980, lr=0.117000, batch loss=0.080506, epoch loss=0.383584
Batch=839, step=20040, lr=0.116750, batch loss=0.031131, epoch loss=0.414715
Batch=899, step=20100, lr=0.116500, batch loss=0.030742, epoch loss=0.445457
Batch=959, step=20160, lr=0.116250, batch loss=0.014828, epoch loss=0.460285
Batch=1019, step=20220, lr=0.116000, batch loss=0.019286, epoch loss=0.479571
Batch=1079, step=20280, lr=0.115500, batch loss=0.004268, epoch loss=0.483839
Batch=1139, step=20340, lr=0.115500, batch loss=0.019749, epoch loss=0.503588
Batch=1199, step=20400, lr=0.115250, batch loss=0.006887, epoch loss=0.510475
Epoch=16, step=20400, lr=0.115250, epoch loss=0.510475
Batch=59, step=20460, lr=0.115000, batch loss=0.003363, epoch loss=0.003363
Batch=119, step=20520, lr=0.114750, batch loss=0.010277, epoch loss=0.013641
Batch=179, step=20580, lr=0.114500, batch loss=0.020880, epoch loss=0.034521
Batch=239, step=20640, lr=0.114250, batch loss=0.019499, epoch loss=0.054020
Batch=299, step=20700, lr=0.114000, batch loss=0.009228, epoch loss=0.063248
Batch=359, step=20760, lr=0.113750, batch loss=0.013323, epoch loss=0.076571
Batch=419, step=20820, lr=0.113500, batch loss=0.016535, epoch loss=0.093106
Batch=479, step=20880, lr=0.113250, batch loss=0.003959, epoch loss=0.097064
Batch=539, step=20940, lr=0.113000, batch loss=0.016037, epoch loss=0.113101
Batch=599, step=21000, lr=0.112750, batch loss=0.018432, epoch loss=0.131533
Batch=659, step=21060, lr=0.112500, batch loss=0.014975, epoch loss=0.146508
Batch=719, step=21120, lr=0.112250, batch loss=0.041827, epoch loss=0.188335
Batch=779, step=21180, lr=0.111750, batch loss=0.075325, epoch loss=0.263661
Batch=839, step=21240, lr=0.111500, batch loss=0.026778, epoch loss=0.290438
Batch=899, step=21300, lr=0.111500, batch loss=0.035499, epoch loss=0.325937
Batch=959, step=21360, lr=0.111250, batch loss=0.009736, epoch loss=0.335673
Batch=1019, step=21420, lr=0.111000, batch loss=0.010957, epoch loss=0.346629
Batch=1079, step=21480, lr=0.110750, batch loss=0.000976, epoch loss=0.347605
Batch=1139, step=21540, lr=0.110500, batch loss=0.012909, epoch loss=0.360514
Batch=1199, step=21600, lr=0.110250, batch loss=0.005151, epoch loss=0.365665
Epoch=17, step=21600, lr=0.110250, epoch loss=0.365665
Batch=59, step=21660, lr=0.110000, batch loss=0.002010, epoch loss=0.002010
Batch=119, step=21720, lr=0.109750, batch loss=0.006424, epoch loss=0.008434
Batch=179, step=21780, lr=0.109500, batch loss=0.012889, epoch loss=0.021323
Batch=239, step=21840, lr=0.109250, batch loss=0.011267, epoch loss=0.032590
Batch=299, step=21900, lr=0.109000, batch loss=0.013106, epoch loss=0.045697
Batch=359, step=21960, lr=0.108750, batch loss=0.012738, epoch loss=0.058435
Batch=419, step=22020, lr=0.108250, batch loss=0.013102, epoch loss=0.071537
Batch=479, step=22080, lr=0.108250, batch loss=0.003442, epoch loss=0.074979
Batch=539, step=22140, lr=0.108000, batch loss=0.014279, epoch loss=0.089258
Batch=599, step=22200, lr=0.107750, batch loss=0.015777, epoch loss=0.105035
Batch=659, step=22260, lr=0.107500, batch loss=0.012835, epoch loss=0.117869
Batch=719, step=22320, lr=0.107250, batch loss=0.026156, epoch loss=0.144025
Batch=779, step=22380, lr=0.107000, batch loss=0.038328, epoch loss=0.182353
Batch=839, step=22440, lr=0.106750, batch loss=0.024132, epoch loss=0.206485
Batch=899, step=22500, lr=0.106500, batch loss=0.030429, epoch loss=0.236915
Batch=959, step=22560, lr=0.106250, batch loss=0.008783, epoch loss=0.245698
Batch=1019, step=22620, lr=0.106000, batch loss=0.009408, epoch loss=0.255106
Batch=1079, step=22680, lr=0.105750, batch loss=0.000343, epoch loss=0.255450
Batch=1139, step=22740, lr=0.105500, batch loss=0.010257, epoch loss=0.265706
Batch=1199, step=22800, lr=0.105250, batch loss=0.004633, epoch loss=0.270339
Epoch=18, step=22800, lr=0.105250, epoch loss=0.270339
Batch=59, step=22860, lr=0.104750, batch loss=0.001362, epoch loss=0.001362
Batch=119, step=22920, lr=0.104750, batch loss=0.005201, epoch loss=0.006563
Batch=179, step=22980, lr=0.104500, batch loss=0.010365, epoch loss=0.016928
Batch=239, step=23040, lr=0.104250, batch loss=0.008432, epoch loss=0.025360
Batch=299, step=23100, lr=0.103750, batch loss=0.006440, epoch loss=0.031800
Batch=359, step=23160, lr=0.103750, batch loss=0.012508, epoch loss=0.044308
Batch=419, step=23220, lr=0.103500, batch loss=0.010384, epoch loss=0.054692
Batch=479, step=23280, lr=0.103250, batch loss=0.002357, epoch loss=0.057049
Batch=539, step=23340, lr=0.103000, batch loss=0.017381, epoch loss=0.074430
Batch=599, step=23400, lr=0.102750, batch loss=0.014990, epoch loss=0.089420
Batch=659, step=23460, lr=0.102500, batch loss=0.014400, epoch loss=0.103820
Batch=719, step=23520, lr=0.102250, batch loss=0.016978, epoch loss=0.120798
Batch=779, step=23580, lr=0.102000, batch loss=0.019758, epoch loss=0.140556
Batch=839, step=23640, lr=0.101500, batch loss=0.026677, epoch loss=0.167232
Batch=899, step=23700, lr=0.101500, batch loss=0.022341, epoch loss=0.189574
Batch=959, step=23760, lr=0.101250, batch loss=0.010741, epoch loss=0.200314
Batch=1019, step=23820, lr=0.101000, batch loss=0.010808, epoch loss=0.211123
Batch=1079, step=23880, lr=0.100500, batch loss=0.000739, epoch loss=0.211861
Batch=1139, step=23940, lr=0.100250, batch loss=0.009835, epoch loss=0.221696
Batch=1199, step=24000, lr=0.100250, batch loss=0.005105, epoch loss=0.226801
Epoch=19, step=24000, lr=0.100250, epoch loss=0.226801


Half-moons scatterplot and decision boundary:
┌────────────────────────────────────────────────────────────────────────────────────────────────────┐
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│**********************#*#*#######*###*#####*********************************************************│
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│***********########*##*#******************#*****##########*****************************************.│
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│******######***********.........%........***************##*#####***********************.......%.%.%.│
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-03-21 12:48.13 ---> saved as "544d4fcb3ebcbb2c13e29454234fa5139ba5b294fdd180d6b553fdeac79d2e0b"
Job succeeded
2025-03-21 12:48.14: Job succeeded