debian-12-5.3_arm64_opam-2.3

2025-05-10 12:25.54: New job: test ahrefs/ocannl https://github.com/ahrefs/ocannl.git#refs/heads/master (d36b4190f8f9185142030f887cf3e5946a90527d) (linux-arm64:debian-12-5.3_arm64_opam-2.3)
Base: ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
Opam project build


To reproduce locally:


git clone --recursive "https://github.com/ahrefs/ocannl.git" -b "master" && cd "ocannl" && git reset --hard d36b4190
cat > Dockerfile <<'END-OF-DOCKERFILE'
FROM ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
# debian-12-5.3_arm64_opam-2.3
USER 1000:1000
ENV CLICOLOR_FORCE="1"
ENV OPAMCOLOR="always"
WORKDIR /src
RUN sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam
RUN opam init --reinit -ni
RUN uname -rs && opam exec -- ocaml -version && opam --version
WORKDIR /src
RUN sudo chown opam /src
RUN cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u
COPY --chown=1000:1000 neural_nets_lib.opam arrayjit.opam ./
RUN opam pin add -yn neural_nets_lib.dev './' && \
opam pin add -yn arrayjit.dev './'
RUN echo '(lang dune 3.0)' > './dune-project'
ENV DEPS="angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0"
ENV CI="true"
ENV OCAMLCI="true"
RUN opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS
RUN opam install $DEPS
COPY --chown=1000:1000 . /src
RUN opam exec -- dune build @install @check @runtest && rm -rf _build


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


2025-05-10 12:25.54: Using cache hint "ahrefs/ocannl-ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3-debian-12-5.3_arm64_opam-2.3-cfc8860510df1264e4dceb092b0ce2dc"
2025-05-10 12:25.54: Using OBuilder spec:
((from ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3)
(comment debian-12-5.3_arm64_opam-2.3)
(user (uid 1000) (gid 1000))
(env CLICOLOR_FORCE 1)
(env OPAMCOLOR always)
(workdir /src)
(run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
(run (shell "opam init --reinit -ni"))
(run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
(workdir /src)
(run (shell "sudo chown opam /src"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "cd ~/opam-repository && (git cat-file -e 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 || git fetch origin master) && git reset -q --hard 997e4758ac95ae5ee2ee30125e6ba0dba68cebf0 && git log --no-decorate -n1 --oneline && opam update -u"))
(copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
(run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
(run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
(env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")
(env CI true)
(env OCAMLCI true)
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
(run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
(copy (src .) (dst /src))
(run (shell "opam exec -- dune build @install @check @runtest && rm -rf _build"))
)


2025-05-10 12:25.54: Waiting for resource in pool OCluster
2025-05-10 12:26.13: Waiting for worker…
2025-05-10 12:27.19: Got resource from pool OCluster
Building on okypous.caelum.ci.dev
All commits already cached
HEAD is now at d36b4190 experiment


(from ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3)
Unable to find image 'ocaml/opam:debian-12-ocaml-5.3@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3' locally
docker.io/ocaml/opam@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3: Pulling from ocaml/opam
b17c8e92fb87: Pulling fs layer
b17c8e92fb87: Verifying Checksum
b17c8e92fb87: Download complete
b17c8e92fb87: Pull complete
Digest: sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
Status: Downloaded newer image for ocaml/opam@sha256:f3f7c954361569e1f7fd1e1b6ab41b5bd4f00147ee97d71ea399a22764f568d3
2025-05-10 12:27.20 ---> using "978b9672b52860448462f39ede8f8b4212c220fbb438fba1dfbc6def719b7210" from cache


/: (comment debian-12-5.3_arm64_opam-2.3)


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


/: (env CLICOLOR_FORCE 1)


/: (env OPAMCOLOR always)


/: (workdir /src)


/src: (run (shell "sudo ln -f /usr/bin/opam-2.3 /usr/bin/opam"))
2025-05-10 12:27.20 ---> using "496cc35f114b05b801d3e9ee6474864c453fb63d6b47eb13a1549a1750ca635f" from cache


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


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


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


<><> Updating repositories ><><><><><><><><><><><><><><><><><><><><><><><><><><>
[default] Initialised
2025-05-10 12:27.20 ---> using "7d05921eabd1fe38008746d72fe6393680f11c689b91eb2d7502bbd1bff3fb98" from cache


/src: (run (shell "uname -rs && opam exec -- ocaml -version && opam --version"))
Linux 5.15.0-138-generic
The OCaml toplevel, version 5.3.0
2.3.0
2025-05-10 12:27.20 ---> using "9502e2c4f53b5580308524d5b4c73de1f298163f2699b8bac50471099eae33e6" from cache


/src: (workdir /src)


/src: (run (shell "sudo chown opam /src"))
2025-05-10 12:27.20 ---> using "981e6ce16a11cbfdb1466639b83481acca0dd8d5862dfa3fd7af24a690882e61" from cache


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


<><> Updating package repositories ><><><><><><><><><><><><><><><><><><><><><><>
[default] synchronised from git+file:///home/opam/opam-repository


Everything as up-to-date as possible (run with --verbose to show unavailable upgrades).
However, you may "opam upgrade" these packages explicitly, which will ask permission to downgrade or uninstall the conflicting packages.
Nothing to do.
# To update the current shell environment, run: eval $(opam env)
2025-05-10 12:27.41 ---> saved as "0311db991aa7f1e838b0202d4f94705b9849b5b9a3e85691611e64a6141397ac"


/src: (copy (src neural_nets_lib.opam arrayjit.opam) (dst ./))
2025-05-10 12:27.41 ---> saved as "959fefc82d8d0472e442cc204a9ca76d8147761335e5e009b00cf7ebaf05356e"


/src: (run (network host)
(shell  "opam pin add -yn neural_nets_lib.dev './' && \
\nopam pin add -yn arrayjit.dev './'"))
[neural_nets_lib.dev] synchronised (file:///src)
neural_nets_lib is now pinned to file:///src (version dev)
[arrayjit.dev] synchronised (file:///src)
arrayjit is now pinned to file:///src (version dev)
2025-05-10 12:27.44 ---> saved as "559219e29930c487fa9763b1207a16fee8e4c777dd86ed001e37fb618220f24f"


/src: (run (network host)
(shell "echo '(lang dune 3.0)' > './dune-project'"))
2025-05-10 12:27.44 ---> saved as "917b06a5e1fc1c453c8dad6d6fdeab45f636185b54d2cf15b9b39770823630af"


/src: (env DEPS "angstrom.0.16.1 astring.0.8.5 backoff.0.1.1 base.v0.17.2 base-bigarray.base base-domains.base base-effects.base base-nnp.base base-threads.base base-unix.base bigarray-compat.1.1.0 bigstringaf.0.10.0 camlp-streams.5.0.1 cmdliner.1.3.0 conf-libffi.2.0.0 conf-pkg-config.4 cppo.1.8.0 csexp.1.5.2 ctypes.0.23.0 ctypes-foreign.0.23.0 dune.3.18.2 dune-configurator.3.18.2 fieldslib.v0.17.0 fmt.0.10.0 integers.0.7.0 jane-street-headers.v0.17.0 jst-config.v0.17.0 logs.0.8.0 mdx.2.5.0 mtime.2.1.0 multicore-magic.2.3.1 num.1.5-1 ocaml.5.3.0 ocaml-base-compiler.5.3.0 ocaml-compiler.5.3.0 ocaml-compiler-libs.v0.17.0 ocaml-config.3 ocaml-options-vanilla.1 ocaml-syntax-shims.1.0.0 ocaml-version.4.0.0 ocaml_intrinsics_kernel.v0.17.1 ocamlbuild.0.16.1 ocamlfind.1.9.8 parsexp.v0.17.0 ppx_assert.v0.17.0 ppx_base.v0.17.0 ppx_cold.v0.17.0 ppx_compare.v0.17.0 ppx_derivers.1.2.1 ppx_deriving.6.0.3 ppx_enumerate.v0.17.0 ppx_expect.v0.17.2 ppx_fields_conv.v0.17.0 ppx_globalize.v0.17.0 ppx_hash.v0.17.0 ppx_here.v0.17.0 ppx_inline_test.v0.17.0 ppx_minidebug.2.2.0 ppx_optcomp.v0.17.0 ppx_sexp_conv.v0.17.0 ppx_string.v0.17.0 ppx_variants_conv.v0.17.0 ppxlib.0.35.0 ppxlib_jane.v0.17.2 printbox.0.12 printbox-ext-plot.0.12 printbox-html.0.12 printbox-md.0.12 printbox-text.0.12 ptime.1.2.0 re.1.12.0 result.1.5 saturn_lockfree.0.5.0 seq.base sexplib.v0.17.0 sexplib0.v0.17.0 stdio.v0.17.0 stdlib-shims.0.3.0 thread-local-storage.0.2 time_now.v0.17.0 topkg.1.0.8 tyxml.4.6.0 uucp.16.0.0 uutf.1.0.4 variantslib.v0.17.0")


/src: (env CI true)


/src: (env OCAMLCI true)


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam update --depexts && opam install --cli=2.3 --depext-only -y neural_nets_lib.dev arrayjit.dev $DEPS"))
+ /usr/bin/sudo "apt-get" "update"
- Hit:1 http://deb.debian.org/debian bookworm InRelease
- Get:2 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
- Get:3 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
- Get:4 http://deb.debian.org/debian-security bookworm-security/main arm64 Packages [254 kB]
- Fetched 357 kB in 0s (860 kB/s)
- Reading package lists...
- 


<><> Synchronising pinned packages ><><><><><><><><><><><><><><><><><><><><><><>
[neural_nets_lib.dev] synchronised (file:///src)
[arrayjit.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-dev pkg-config


<><> Handling external dependencies <><><><><><><><><><><><><><><><><><><><><><>


+ /usr/bin/sudo "apt-get" "install" "-qq" "-yy" "libffi-dev" "pkg-config"
- debconf: delaying package configuration, since apt-utils is not installed
- Selecting previously unselected package libffi-dev:arm64.
- (Reading database ... 
(Reading database ... 5%
(Reading database ... 10%
(Reading database ... 15%
(Reading database ... 20%
(Reading database ... 25%
(Reading database ... 30%
(Reading database ... 35%
(Reading database ... 40%
(Reading database ... 45%
(Reading database ... 50%
(Reading database ... 55%
(Reading database ... 60%
(Reading database ... 65%
(Reading database ... 70%
(Reading database ... 75%
(Reading database ... 80%
(Reading database ... 85%
(Reading database ... 90%
(Reading database ... 95%
(Reading database ... 100%
(Reading database ... 18801 files and directories currently installed.)
- Preparing to unpack .../libffi-dev_3.4.4-1_arm64.deb ...
- Unpacking libffi-dev:arm64 (3.4.4-1) ...
- Selecting previously unselected package libpkgconf3:arm64.
- Preparing to unpack .../libpkgconf3_1.8.1-1_arm64.deb ...
- Unpacking libpkgconf3:arm64 (1.8.1-1) ...
- Selecting previously unselected package pkgconf-bin.
- Preparing to unpack .../pkgconf-bin_1.8.1-1_arm64.deb ...
- Unpacking pkgconf-bin (1.8.1-1) ...
- Selecting previously unselected package pkgconf:arm64.
- Preparing to unpack .../pkgconf_1.8.1-1_arm64.deb ...
- Unpacking pkgconf:arm64 (1.8.1-1) ...
- Selecting previously unselected package pkg-config:arm64.
- Preparing to unpack .../pkg-config_1.8.1-1_arm64.deb ...
- Unpacking pkg-config:arm64 (1.8.1-1) ...
- Setting up libffi-dev:arm64 (3.4.4-1) ...
- Setting up libpkgconf3:arm64 (1.8.1-1) ...
- Setting up pkgconf-bin (1.8.1-1) ...
- Setting up pkgconf:arm64 (1.8.1-1) ...
- Setting up pkg-config:arm64 (1.8.1-1) ...
- Processing triggers for libc-bin (2.36-9+deb12u10) ...
2025-05-10 12:27.57 ---> saved as "cf82943348d85680afa3b42c6f7d609952c0d4eaed58bb8fa6353146de92e8a2"


/src: (run (cache (opam-archives (target /home/opam/.opam/download-cache)))
(network host)
(shell "opam install $DEPS"))
[NOTE] Package ocaml-options-vanilla is already installed (current version is 1).
[NOTE] Package ocaml-config is already installed (current version is 3).
[NOTE] Package ocaml-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml-base-compiler is already installed (current version is 5.3.0).
[NOTE] Package ocaml is already installed (current version is 5.3.0).
[NOTE] Package base-unix is already installed (current version is base).
[NOTE] Package base-threads is already installed (current version is base).
[NOTE] Package base-nnp is already installed (current version is base).
[NOTE] Package base-effects is already installed (current version is base).
[NOTE] Package base-domains is already installed (current version is base).
[NOTE] Package base-bigarray is already installed (current version is base).
The following actions will be performed:
=== install 74 packages
- install angstrom                0.16.1
- install astring                 0.8.5
- install backoff                 0.1.1
- install base                    v0.17.2
- install bigarray-compat         1.1.0
- install bigstringaf             0.10.0
- install camlp-streams           5.0.1
- install cmdliner                1.3.0
- install conf-libffi             2.0.0
- install conf-pkg-config         4
- install cppo                    1.8.0
- install csexp                   1.5.2
- install ctypes                  0.23.0
- install ctypes-foreign          0.23.0
- install dune                    3.18.2
- install dune-configurator       3.18.2
- install fieldslib               v0.17.0
- install fmt                     0.10.0
- install integers                0.7.0
- install jane-street-headers     v0.17.0
- install jst-config              v0.17.0
- install logs                    0.8.0
- install mdx                     2.5.0
- install mtime                   2.1.0
- install multicore-magic         2.3.1
- install num                     1.5-1
- install ocaml-compiler-libs     v0.17.0
- install ocaml-syntax-shims      1.0.0
- install ocaml-version           4.0.0
- install ocaml_intrinsics_kernel v0.17.1
- install ocamlbuild              0.16.1
- install ocamlfind               1.9.8
- install parsexp                 v0.17.0
- install ppx_assert              v0.17.0
- install ppx_base                v0.17.0
- install ppx_cold                v0.17.0
- install ppx_compare             v0.17.0
- install ppx_derivers            1.2.1
- install ppx_deriving            6.0.3
- install ppx_enumerate           v0.17.0
- install ppx_expect              v0.17.2
- install ppx_fields_conv         v0.17.0
- install ppx_globalize           v0.17.0
- install ppx_hash                v0.17.0
- install ppx_here                v0.17.0
- install ppx_inline_test         v0.17.0
- install ppx_minidebug           2.2.0
- install ppx_optcomp             v0.17.0
- install ppx_sexp_conv           v0.17.0
- install ppx_string              v0.17.0
- install ppx_variants_conv       v0.17.0
- install ppxlib                  0.35.0
- install ppxlib_jane             v0.17.2
- install printbox                0.12
- install printbox-ext-plot       0.12
- install printbox-html           0.12
- install printbox-md             0.12
- install printbox-text           0.12
- install ptime                   1.2.0
- install re                      1.12.0
- install result                  1.5
- install saturn_lockfree         0.5.0
- install seq                     base
- install sexplib                 v0.17.0
- install sexplib0                v0.17.0
- install stdio                   v0.17.0
- install stdlib-shims            0.3.0
- install thread-local-storage    0.2
- install time_now                v0.17.0
- install topkg                   1.0.8
- install tyxml                   4.6.0
- install uucp                    16.0.0
- install uutf                    1.0.4
- install variantslib             v0.17.0


<><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><>
-> retrieved backoff.0.1.1  (cached)
-> retrieved astring.0.8.5  (cached)
-> retrieved angstrom.0.16.1  (cached)
-> retrieved base.v0.17.2  (cached)
-> retrieved bigarray-compat.1.1.0  (cached)
-> retrieved bigstringaf.0.10.0  (cached)
-> retrieved camlp-streams.5.0.1  (cached)
-> retrieved cppo.1.8.0  (cached)
-> retrieved cmdliner.1.3.0  (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 fmt.0.10.0  (cached)
-> retrieved integers.0.7.0  (cached)
-> retrieved jane-street-headers.v0.17.0  (cached)
-> retrieved jst-config.v0.17.0  (cached)
-> retrieved logs.0.8.0  (cached)
-> retrieved mtime.2.1.0  (cached)
-> retrieved mdx.2.5.0  (cached)
-> retrieved dune.3.18.2, dune-configurator.3.18.2  (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-version.4.0.0  (cached)
-> retrieved ocaml_intrinsics_kernel.v0.17.1  (cached)
-> retrieved ocamlfind.1.9.8  (cached)
-> retrieved ocamlbuild.0.16.1  (cached)
-> installed cmdliner.1.3.0
-> retrieved parsexp.v0.17.0  (cached)
-> retrieved ppx_assert.v0.17.0  (cached)
-> retrieved ppx_base.v0.17.0  (cached)
-> retrieved ppx_cold.v0.17.0  (cached)
-> retrieved ppx_compare.v0.17.0  (cached)
-> retrieved ppx_derivers.1.2.1  (cached)
-> retrieved ppx_enumerate.v0.17.0  (cached)
-> retrieved ppx_deriving.6.0.3  (cached)
-> retrieved ppx_expect.v0.17.2  (cached)
-> retrieved ppx_fields_conv.v0.17.0  (cached)
-> retrieved ppx_globalize.v0.17.0  (cached)
-> retrieved ppx_hash.v0.17.0  (cached)
-> retrieved ppx_here.v0.17.0  (cached)
-> retrieved ppx_inline_test.v0.17.0  (cached)
-> retrieved ppx_optcomp.v0.17.0  (cached)
-> retrieved ppx_sexp_conv.v0.17.0  (cached)
-> retrieved ppx_string.v0.17.0  (cached)
-> retrieved ppx_variants_conv.v0.17.0  (cached)
-> retrieved ppxlib_jane.v0.17.2  (cached)
-> retrieved ppx_minidebug.2.2.0  (cached)
-> retrieved ptime.1.2.0  (cached)
-> retrieved re.1.12.0  (cached)
-> retrieved result.1.5  (cached)
-> retrieved saturn_lockfree.0.5.0  (cached)
-> retrieved seq.base  (cached)
-> installed seq.base
-> retrieved ppxlib.0.35.0  (cached)
-> retrieved printbox.0.12, printbox-ext-plot.0.12, printbox-html.0.12, printbox-md.0.12, printbox-text.0.12  (cached)
-> retrieved 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 thread-local-storage.0.2  (cached)
-> retrieved time_now.v0.17.0  (cached)
-> retrieved topkg.1.0.8  (cached)
-> retrieved tyxml.4.6.0  (cached)
-> retrieved uutf.1.0.4  (cached)
-> retrieved variantslib.v0.17.0  (cached)
-> retrieved uucp.16.0.0  (cached)
-> installed num.1.5-1
-> 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 fmt.0.10.0
-> installed ptime.1.2.0
-> installed astring.0.8.5
-> installed logs.0.8.0
-> installed dune.3.18.2
-> installed jane-street-headers.v0.17.0
-> installed ppx_derivers.1.2.1
-> installed csexp.1.5.2
-> installed backoff.0.1.1
-> installed bigarray-compat.1.1.0
-> installed camlp-streams.5.0.1
-> installed multicore-magic.2.3.1
-> installed ocaml-syntax-shims.1.0.0
-> installed cppo.1.8.0
-> installed ocaml-compiler-libs.v0.17.0
-> installed ocaml-version.4.0.0
-> installed ocaml_intrinsics_kernel.v0.17.1
-> installed printbox.0.12
-> installed re.1.12.0
-> installed result.1.5
-> installed sexplib0.v0.17.0
-> installed stdlib-shims.0.3.0
-> installed thread-local-storage.0.2
-> installed saturn_lockfree.0.5.0
-> installed integers.0.7.0
-> installed parsexp.v0.17.0
-> installed dune-configurator.3.18.2
-> installed bigstringaf.0.10.0
-> installed mdx.2.5.0
-> installed sexplib.v0.17.0
-> installed angstrom.0.16.1
-> installed tyxml.4.6.0
-> installed printbox-html.0.12
-> installed ctypes.0.23.0
-> installed base.v0.17.2
-> installed fieldslib.v0.17.0
-> installed variantslib.v0.17.0
-> installed stdio.v0.17.0
-> installed ctypes-foreign.0.23.0
-> installed ppxlib.0.35.0
-> installed ppxlib_jane.v0.17.2
-> installed ppx_optcomp.v0.17.0
-> installed ppx_cold.v0.17.0
-> installed ppx_here.v0.17.0
-> installed ppx_variants_conv.v0.17.0
-> installed ppx_fields_conv.v0.17.0
-> installed ppx_globalize.v0.17.0
-> installed ppx_enumerate.v0.17.0
-> installed ppx_deriving.6.0.3
-> installed ppx_compare.v0.17.0
-> installed uucp.16.0.0
-> installed printbox-text.0.12
-> installed printbox-md.0.12
-> installed ppx_sexp_conv.v0.17.0
-> installed printbox-ext-plot.0.12
-> installed ppx_hash.v0.17.0
-> installed ppx_assert.v0.17.0
-> installed ppx_minidebug.2.2.0
-> installed ppx_base.v0.17.0
-> installed jst-config.v0.17.0
-> installed ppx_string.v0.17.0
-> installed time_now.v0.17.0
-> installed ppx_inline_test.v0.17.0
-> installed ppx_expect.v0.17.2
Done.
# To update the current shell environment, run: eval $(opam env)
2025-05-10 12:29.24 ---> saved as "7380ec48c267ef7dee5b4e49f89304bb38910580ebbc26403052402453ea6467"


/src: (copy (src .) (dst /src))
2025-05-10 12:29.24 ---> saved as "101c78da1450bd7eb2b339a309fe34c45223926c9c64e8f62a1f79da5ca02ba2"


/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/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition '' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Found 0, in the config file' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Retrieving commandline, environment, or config file variable ocannl_log_level' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition 'Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/2796cfb851937068353b0165b53c5b20/default/test/ocannl_config.' -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition primitive_ops.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition zero2hero_1of7.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition hello_world_op.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition einsum_trivia.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition micrograd_demo.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test && .tutorials.inline-tests/inline-test-runner.exe inline-test-runner tutorials -partition moons_demo_parallel.ml -source-tree-root .. -diff-cmd -)


Welcome to OCANNL! Reading configuration defaults from /src/_build/.sandbox/f2db9baee87804f7bce925c89e6c5ae5/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
(cd _build/default/test && ./moons_demo_parallel_run.exe)


Welcome to OCANNL! Reading configuration defaults from /src/_build/default/test/ocannl_config.
Retrieving commandline, environment, or config file variable ocannl_log_level
Found 0, in the config file
("Set log_level to" 1)
└─{orphaned from #2}
Retrieving commandline, environment, or config file variable ocannl_backend
Found cc, in the config file
Properties of devices:
(multicore_devices
(device ((device_name CPU) (device_ordinal 0) (num_domains 80))))
@!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=8.539633, epoch loss=32.149086
Batch=179, step=180, lr=0.199500, batch loss=2.626295, epoch loss=34.775381
Batch=239, step=240, lr=0.199250, batch loss=0.849657, epoch loss=35.625038
Batch=299, step=300, lr=0.199000, batch loss=1.447177, epoch loss=37.072215
Batch=359, step=360, lr=0.198750, batch loss=1.329296, epoch loss=38.401511
Batch=419, step=420, lr=0.198250, batch loss=0.618569, epoch loss=39.020080
Batch=479, step=480, lr=0.198250, batch loss=0.821468, epoch loss=39.841548
Batch=539, step=540, lr=0.198000, batch loss=0.691338, epoch loss=40.532886
Batch=599, step=600, lr=0.197500, batch loss=1.063206, epoch loss=41.596092
Batch=659, step=660, lr=0.197250, batch loss=0.483290, epoch loss=42.079383
Batch=719, step=720, lr=0.197250, batch loss=0.411313, epoch loss=42.490695
Batch=779, step=780, lr=0.196750, batch loss=0.470202, epoch loss=42.960898
Batch=839, step=840, lr=0.196500, batch loss=0.446680, epoch loss=43.407577
Batch=899, step=900, lr=0.196250, batch loss=0.382807, epoch loss=43.790384
Batch=959, step=960, lr=0.196000, batch loss=0.245401, epoch loss=44.035785
Batch=1019, step=1020, lr=0.195750, batch loss=0.466199, epoch loss=44.501984
Batch=1079, step=1080, lr=0.195500, batch loss=0.249155, epoch loss=44.751138
Batch=1139, step=1140, lr=0.195250, batch loss=0.317228, epoch loss=45.068366
Batch=1199, step=1200, lr=0.195250, batch loss=0.263895, epoch loss=45.332260
Epoch=0, step=1200, lr=0.195250, epoch loss=45.332260
Batch=59, step=1260, lr=0.194750, batch loss=0.262304, epoch loss=0.262304
Batch=119, step=1320, lr=0.194500, batch loss=0.205215, epoch loss=0.467519
Batch=179, step=1380, lr=0.194250, batch loss=0.243701, epoch loss=0.711219
Batch=239, step=1440, lr=0.194000, batch loss=0.347956, epoch loss=1.059175
Batch=299, step=1500, lr=0.194000, batch loss=0.247398, epoch loss=1.306573
Batch=359, step=1560, lr=0.193500, batch loss=0.316800, epoch loss=1.623373
Batch=419, step=1620, lr=0.193500, batch loss=0.312621, epoch loss=1.935994
Batch=479, step=1680, lr=0.193250, batch loss=0.276426, epoch loss=2.212420
Batch=539, step=1740, lr=0.193000, batch loss=0.209786, epoch loss=2.422206
Batch=599, step=1800, lr=0.192500, batch loss=0.250811, epoch loss=2.673017
Batch=659, step=1860, lr=0.192500, batch loss=0.366903, epoch loss=3.039920
Batch=719, step=1920, lr=0.192250, batch loss=0.355196, epoch loss=3.395116
Batch=779, step=1980, lr=0.192000, batch loss=0.381063, epoch loss=3.776178
Batch=839, step=2040, lr=0.191500, batch loss=0.339697, epoch loss=4.115875
Batch=899, step=2100, lr=0.191500, batch loss=0.295249, epoch loss=4.411124
Batch=959, step=2160, lr=0.191250, batch loss=0.214210, epoch loss=4.625334
Batch=1019, step=2220, lr=0.190750, batch loss=0.330329, epoch loss=4.955663
Batch=1079, step=2280, lr=0.190750, batch loss=0.208953, epoch loss=5.164616
Batch=1139, step=2340, lr=0.190250, batch loss=0.278048, epoch loss=5.442664
Batch=1199, step=2400, lr=0.190000, batch loss=0.220842, epoch loss=5.663506
Epoch=1, step=2400, lr=0.190000, epoch loss=5.663506
Batch=59, step=2460, lr=0.189750, batch loss=0.230500, epoch loss=0.230500
Batch=119, step=2520, lr=0.189500, batch loss=0.195841, epoch loss=0.426341
Batch=179, step=2580, lr=0.189500, batch loss=0.221092, epoch loss=0.647433
Batch=239, step=2640, lr=0.189000, batch loss=0.327999, epoch loss=0.975432
Batch=299, step=2700, lr=0.188750, batch loss=0.202959, epoch loss=1.178391
Batch=359, step=2760, lr=0.188500, batch loss=0.288219, epoch loss=1.466610
Batch=419, step=2820, lr=0.188250, batch loss=0.280122, epoch loss=1.746732
Batch=479, step=2880, lr=0.188250, batch loss=0.251456, epoch loss=1.998188
Batch=539, step=2940, lr=0.187750, batch loss=0.191272, epoch loss=2.189460
Batch=599, step=3000, lr=0.187500, batch loss=0.224397, epoch loss=2.413857
Batch=659, step=3060, lr=0.187500, batch loss=0.331004, epoch loss=2.744861
Batch=719, step=3120, lr=0.187250, batch loss=0.333542, epoch loss=3.078403
Batch=779, step=3180, lr=0.187000, batch loss=0.355016, epoch loss=3.433420
Batch=839, step=3240, lr=0.186750, batch loss=0.327661, epoch loss=3.761081
Batch=899, step=3300, lr=0.186500, batch loss=0.296588, epoch loss=4.057669
Batch=959, step=3360, lr=0.186250, batch loss=0.239886, epoch loss=4.297555
Batch=1019, step=3420, lr=0.186000, batch loss=0.352944, epoch loss=4.650499
Batch=1079, step=3480, lr=0.185750, batch loss=0.231890, epoch loss=4.882389
Batch=1139, step=3540, lr=0.185500, batch loss=0.263931, epoch loss=5.146320
Batch=1199, step=3600, lr=0.185250, batch loss=0.199460, epoch loss=5.345780
Epoch=2, step=3600, lr=0.185250, epoch loss=5.345780
Batch=59, step=3660, lr=0.185000, batch loss=0.221468, epoch loss=0.221468
Batch=119, step=3720, lr=0.184750, batch loss=0.184560, epoch loss=0.406028
Batch=179, step=3780, lr=0.184500, batch loss=0.210784, epoch loss=0.616812
Batch=239, step=3840, lr=0.184250, batch loss=0.315537, epoch loss=0.932349
Batch=299, step=3900, lr=0.184000, batch loss=0.202692, epoch loss=1.135041
Batch=359, step=3960, lr=0.183750, batch loss=0.281769, epoch loss=1.416810
Batch=419, step=4020, lr=0.183500, batch loss=0.271253, epoch loss=1.688063
Batch=479, step=4080, lr=0.183250, batch loss=0.245578, epoch loss=1.933641
Batch=539, step=4140, lr=0.183000, batch loss=0.193811, epoch loss=2.127452
Batch=599, step=4200, lr=0.182750, batch loss=0.234214, epoch loss=2.361665
Batch=659, step=4260, lr=0.182500, batch loss=0.333303, epoch loss=2.694969
Batch=719, step=4320, lr=0.182250, batch loss=0.341883, epoch loss=3.036851
Batch=779, step=4380, lr=0.182000, batch loss=0.350874, epoch loss=3.387726
Batch=839, step=4440, lr=0.181750, batch loss=0.315445, epoch loss=3.703171
Batch=899, step=4500, lr=0.181500, batch loss=0.280812, epoch loss=3.983984
Batch=959, step=4560, lr=0.181250, batch loss=0.217713, epoch loss=4.201696
Batch=1019, step=4620, lr=0.181000, batch loss=0.351089, epoch loss=4.552785
Batch=1079, step=4680, lr=0.180750, batch loss=0.211650, epoch loss=4.764435
Batch=1139, step=4740, lr=0.180500, batch loss=0.248672, epoch loss=5.013107
Batch=1199, step=4800, lr=0.180250, batch loss=0.190529, epoch loss=5.203636
Epoch=3, step=4800, lr=0.180250, epoch loss=5.203636
Batch=59, step=4860, lr=0.180000, batch loss=0.227123, epoch loss=0.227123
Batch=119, step=4920, lr=0.179750, batch loss=0.190241, epoch loss=0.417364
Batch=179, step=4980, lr=0.179500, batch loss=0.206749, epoch loss=0.624113
Batch=239, step=5040, lr=0.179250, batch loss=0.307663, epoch loss=0.931777
Batch=299, step=5100, lr=0.179000, batch loss=0.208710, epoch loss=1.140487
Batch=359, step=5160, lr=0.178750, batch loss=0.275661, epoch loss=1.416148
Batch=419, step=5220, lr=0.178500, batch loss=0.265273, epoch loss=1.681420
Batch=479, step=5280, lr=0.178250, batch loss=0.241447, epoch loss=1.922867
Batch=539, step=5340, lr=0.178000, batch loss=0.188537, epoch loss=2.111405
Batch=599, step=5400, lr=0.177750, batch loss=0.231796, epoch loss=2.343201
Batch=659, step=5460, lr=0.177500, batch loss=0.324209, epoch loss=2.667410
Batch=719, step=5520, lr=0.177250, batch loss=0.321261, epoch loss=2.988671
Batch=779, step=5580, lr=0.177000, batch loss=0.340938, epoch loss=3.329608
Batch=839, step=5640, lr=0.176750, batch loss=0.311883, epoch loss=3.641491
Batch=899, step=5700, lr=0.176500, batch loss=0.275795, epoch loss=3.917286
Batch=959, step=5760, lr=0.176250, batch loss=0.208327, epoch loss=4.125613
Batch=1019, step=5820, lr=0.176000, batch loss=0.339619, epoch loss=4.465232
Batch=1079, step=5880, lr=0.175750, batch loss=0.199778, epoch loss=4.665010
Batch=1139, step=5940, lr=0.175500, batch loss=0.243000, epoch loss=4.908010
Batch=1199, step=6000, lr=0.175250, batch loss=0.185084, epoch loss=5.093094
Epoch=4, step=6000, lr=0.175250, epoch loss=5.093094
Batch=59, step=6060, lr=0.175000, batch loss=0.226273, epoch loss=0.226273
Batch=119, step=6120, lr=0.174750, batch loss=0.184244, epoch loss=0.410517
Batch=179, step=6180, lr=0.174500, batch loss=0.202199, epoch loss=0.612716
Batch=239, step=6240, lr=0.174250, batch loss=0.302841, epoch loss=0.915557
Batch=299, step=6300, lr=0.174000, batch loss=0.204671, epoch loss=1.120228
Batch=359, step=6360, lr=0.173750, batch loss=0.265515, epoch loss=1.385743
Batch=419, step=6420, lr=0.173500, batch loss=0.258624, epoch loss=1.644367
Batch=479, step=6480, lr=0.173250, batch loss=0.235953, epoch loss=1.880320
Batch=539, step=6540, lr=0.173000, batch loss=0.188242, epoch loss=2.068562
Batch=599, step=6600, lr=0.172750, batch loss=0.224367, epoch loss=2.292929
Batch=659, step=6660, lr=0.172500, batch loss=0.316472, epoch loss=2.609401
Batch=719, step=6720, lr=0.172250, batch loss=0.315381, epoch loss=2.924782
Batch=779, step=6780, lr=0.172000, batch loss=0.333954, epoch loss=3.258736
Batch=839, step=6840, lr=0.171750, batch loss=0.304521, epoch loss=3.563257
Batch=899, step=6900, lr=0.171500, batch loss=0.266353, epoch loss=3.829610
Batch=959, step=6960, lr=0.171250, batch loss=0.210453, epoch loss=4.040064
Batch=1019, step=7020, lr=0.171000, batch loss=0.327171, epoch loss=4.367235
Batch=1079, step=7080, lr=0.170750, batch loss=0.174422, epoch loss=4.541656
Batch=1139, step=7140, lr=0.170500, batch loss=0.212888, epoch loss=4.754544
Batch=1199, step=7200, lr=0.170250, batch loss=0.191572, epoch loss=4.946116
Epoch=5, step=7200, lr=0.170250, epoch loss=4.946116
Batch=59, step=7260, lr=0.170000, batch loss=0.222631, epoch loss=0.222631
Batch=119, step=7320, lr=0.169750, batch loss=0.191832, epoch loss=0.414463
Batch=179, step=7380, lr=0.169500, batch loss=0.195075, epoch loss=0.609538
Batch=239, step=7440, lr=0.169250, batch loss=0.289923, epoch loss=0.899461
Batch=299, step=7500, lr=0.169000, batch loss=0.201379, epoch loss=1.100840
Batch=359, step=7560, lr=0.168750, batch loss=0.258729, epoch loss=1.359569
Batch=419, step=7620, lr=0.168500, batch loss=0.256427, epoch loss=1.615996
Batch=479, step=7680, lr=0.168250, batch loss=0.236509, epoch loss=1.852505
Batch=539, step=7740, lr=0.168000, batch loss=0.188052, epoch loss=2.040557
Batch=599, step=7800, lr=0.167750, batch loss=0.224569, epoch loss=2.265126
Batch=659, step=7860, lr=0.167500, batch loss=0.306077, epoch loss=2.571203
Batch=719, step=7920, lr=0.167250, batch loss=0.307649, epoch loss=2.878852
Batch=779, step=7980, lr=0.167000, batch loss=0.322182, epoch loss=3.201034
Batch=839, step=8040, lr=0.166750, batch loss=0.296281, epoch loss=3.497315
Batch=899, step=8100, lr=0.166500, batch loss=0.258714, epoch loss=3.756029
Batch=959, step=8160, lr=0.166250, batch loss=0.209347, epoch loss=3.965376
Batch=1019, step=8220, lr=0.166000, batch loss=0.318930, epoch loss=4.284306
Batch=1079, step=8280, lr=0.165750, batch loss=0.168272, epoch loss=4.452578
Batch=1139, step=8340, lr=0.165500, batch loss=0.207613, epoch loss=4.660191
Batch=1199, step=8400, lr=0.165250, batch loss=0.179675, epoch loss=4.839865
Epoch=6, step=8400, lr=0.165250, epoch loss=4.839865
Batch=59, step=8460, lr=0.165000, batch loss=0.225684, epoch loss=0.225684
Batch=119, step=8520, lr=0.164750, batch loss=0.177313, epoch loss=0.402997
Batch=179, step=8580, lr=0.164500, batch loss=0.187062, epoch loss=0.590059
Batch=239, step=8640, lr=0.164250, batch loss=0.276733, epoch loss=0.866792
Batch=299, step=8700, lr=0.164000, batch loss=0.191414, epoch loss=1.058205
Batch=359, step=8760, lr=0.163750, batch loss=0.249279, epoch loss=1.307485
Batch=419, step=8820, lr=0.163500, batch loss=0.244238, epoch loss=1.551722
Batch=479, step=8880, lr=0.163250, batch loss=0.229431, epoch loss=1.781154
Batch=539, step=8940, lr=0.163000, batch loss=0.178028, epoch loss=1.959182
Batch=599, step=9000, lr=0.162750, batch loss=0.219109, epoch loss=2.178291
Batch=659, step=9060, lr=0.162500, batch loss=0.292807, epoch loss=2.471098
Batch=719, step=9120, lr=0.162250, batch loss=0.294062, epoch loss=2.765160
Batch=779, step=9180, lr=0.162000, batch loss=0.314527, epoch loss=3.079687
Batch=839, step=9240, lr=0.161750, batch loss=0.286798, epoch loss=3.366485
Batch=899, step=9300, lr=0.161500, batch loss=0.250378, epoch loss=3.616862
Batch=959, step=9360, lr=0.161250, batch loss=0.191383, epoch loss=3.808245
Batch=1019, step=9420, lr=0.161000, batch loss=0.316317, epoch loss=4.124562
Batch=1079, step=9480, lr=0.160750, batch loss=0.203835, epoch loss=4.328397
Batch=1139, step=9540, lr=0.160250, batch loss=0.216875, epoch loss=4.545272
Batch=1199, step=9600, lr=0.160250, batch loss=0.165920, epoch loss=4.711192
Epoch=7, step=9600, lr=0.160250, epoch loss=4.711192
Batch=59, step=9660, lr=0.160000, batch loss=0.196361, epoch loss=0.196361
Batch=119, step=9720, lr=0.159750, batch loss=0.166160, epoch loss=0.362521
Batch=179, step=9780, lr=0.159500, batch loss=0.178713, epoch loss=0.541234
Batch=239, step=9840, lr=0.159250, batch loss=0.261919, epoch loss=0.803153
Batch=299, step=9900, lr=0.159000, batch loss=0.183660, epoch loss=0.986813
Batch=359, step=9960, lr=0.158750, batch loss=0.242019, epoch loss=1.228832
Batch=419, step=10020, lr=0.158500, batch loss=0.232939, epoch loss=1.461770
Batch=479, step=10080, lr=0.158250, batch loss=0.212850, epoch loss=1.674620
Batch=539, step=10140, lr=0.158000, batch loss=0.171537, epoch loss=1.846157
Batch=599, step=10200, lr=0.157750, batch loss=0.200644, epoch loss=2.046802
Batch=659, step=10260, lr=0.157500, batch loss=0.282352, epoch loss=2.329154
Batch=719, step=10320, lr=0.157250, batch loss=0.287086, epoch loss=2.616240
Batch=779, step=10380, lr=0.157000, batch loss=0.295703, epoch loss=2.911943
Batch=839, step=10440, lr=0.156750, batch loss=0.266431, epoch loss=3.178374
Batch=899, step=10500, lr=0.156500, batch loss=0.243078, epoch loss=3.421452
Batch=959, step=10560, lr=0.156000, batch loss=0.196360, epoch loss=3.617812
Batch=1019, step=10620, lr=0.156000, batch loss=0.283742, epoch loss=3.901553
Batch=1079, step=10680, lr=0.155750, batch loss=0.173058, epoch loss=4.074611
Batch=1139, step=10740, lr=0.155500, batch loss=0.196540, epoch loss=4.271151
Batch=1199, step=10800, lr=0.155250, batch loss=0.155330, epoch loss=4.426481
Epoch=8, step=10800, lr=0.155250, epoch loss=4.426481
Batch=59, step=10860, lr=0.155000, batch loss=0.185623, epoch loss=0.185623
Batch=119, step=10920, lr=0.154750, batch loss=0.152078, epoch loss=0.337701
Batch=179, step=10980, lr=0.154500, batch loss=0.166411, epoch loss=0.504112
Batch=239, step=11040, lr=0.154250, batch loss=0.246817, epoch loss=0.750929
Batch=299, step=11100, lr=0.154000, batch loss=0.158220, epoch loss=0.909148
Batch=359, step=11160, lr=0.153750, batch loss=0.212831, epoch loss=1.121980
Batch=419, step=11220, lr=0.153250, batch loss=0.205326, epoch loss=1.327305
Batch=479, step=11280, lr=0.153250, batch loss=0.181939, epoch loss=1.509244
Batch=539, step=11340, lr=0.153000, batch loss=0.145877, epoch loss=1.655120
Batch=599, step=11400, lr=0.152750, batch loss=0.176505, epoch loss=1.831626
Batch=659, step=11460, lr=0.152500, batch loss=0.244712, epoch loss=2.076338
Batch=719, step=11520, lr=0.152250, batch loss=0.249091, epoch loss=2.325428
Batch=779, step=11580, lr=0.152000, batch loss=0.272063, epoch loss=2.597492
Batch=839, step=11640, lr=0.151750, batch loss=0.257776, epoch loss=2.855267
Batch=899, step=11700, lr=0.151500, batch loss=0.238514, epoch loss=3.093781
Batch=959, step=11760, lr=0.151000, batch loss=0.167065, epoch loss=3.260846
Batch=1019, step=11820, lr=0.151000, batch loss=0.268635, epoch loss=3.529482
Batch=1079, step=11880, lr=0.150750, batch loss=0.146616, epoch loss=3.676098
Batch=1139, step=11940, lr=0.150500, batch loss=0.181841, epoch loss=3.857939
Batch=1199, step=12000, lr=0.150250, batch loss=0.139106, epoch loss=3.997045
Epoch=9, step=12000, lr=0.150250, epoch loss=3.997045
Batch=59, step=12060, lr=0.150000, batch loss=0.159440, epoch loss=0.159440
Batch=119, step=12120, lr=0.149750, batch loss=0.137540, epoch loss=0.296980
Batch=179, step=12180, lr=0.149500, batch loss=0.150751, epoch loss=0.447730
Batch=239, step=12240, lr=0.149250, batch loss=0.217935, epoch loss=0.665666
Batch=299, step=12300, lr=0.149000, batch loss=0.142688, epoch loss=0.808354
Batch=359, step=12360, lr=0.148750, batch loss=0.196587, epoch loss=1.004940
Batch=419, step=12420, lr=0.148500, batch loss=0.208017, epoch loss=1.212957
Batch=479, step=12480, lr=0.148250, batch loss=0.176659, epoch loss=1.389616
Batch=539, step=12540, lr=0.148000, batch loss=0.143132, epoch loss=1.532748
Batch=599, step=12600, lr=0.147750, batch loss=0.147111, epoch loss=1.679859
Batch=659, step=12660, lr=0.147250, batch loss=0.221694, epoch loss=1.901554
Batch=719, step=12720, lr=0.147250, batch loss=0.228721, epoch loss=2.130275
Batch=779, step=12780, lr=0.147000, batch loss=0.243438, epoch loss=2.373713
Batch=839, step=12840, lr=0.146750, batch loss=0.227273, epoch loss=2.600986
Batch=899, step=12900, lr=0.146500, batch loss=0.188631, epoch loss=2.789617
Batch=959, step=12960, lr=0.146250, batch loss=0.172906, epoch loss=2.962523
Batch=1019, step=13020, lr=0.146000, batch loss=0.316138, epoch loss=3.278662
Batch=1079, step=13080, lr=0.145750, batch loss=0.108352, epoch loss=3.387014
Batch=1139, step=13140, lr=0.145500, batch loss=0.150908, epoch loss=3.537922
Batch=1199, step=13200, lr=0.145250, batch loss=0.117110, epoch loss=3.655031
Epoch=10, step=13200, lr=0.145250, epoch loss=3.655031
Batch=59, step=13260, lr=0.145000, batch loss=0.144523, epoch loss=0.144523
Batch=119, step=13320, lr=0.144750, batch loss=0.123013, epoch loss=0.267536
Batch=179, step=13380, lr=0.144500, batch loss=0.130717, epoch loss=0.398253
Batch=239, step=13440, lr=0.144250, batch loss=0.192651, epoch loss=0.590904
Batch=299, step=13500, lr=0.144000, batch loss=0.115894, epoch loss=0.706798
Batch=359, step=13560, lr=0.143750, batch loss=0.158305, epoch loss=0.865104
Batch=419, step=13620, lr=0.143500, batch loss=0.156463, epoch loss=1.021567
Batch=479, step=13680, lr=0.143250, batch loss=0.148950, epoch loss=1.170517
Batch=539, step=13740, lr=0.143000, batch loss=0.116696, epoch loss=1.287212
Batch=599, step=13800, lr=0.142750, batch loss=0.119677, epoch loss=1.406890
Batch=659, step=13860, lr=0.142500, batch loss=0.176609, epoch loss=1.583499
Batch=719, step=13920, lr=0.142250, batch loss=0.172285, epoch loss=1.755784
Batch=779, step=13980, lr=0.142000, batch loss=0.186698, epoch loss=1.942482
Batch=839, step=14040, lr=0.141750, batch loss=0.192145, epoch loss=2.134626
Batch=899, step=14100, lr=0.141500, batch loss=0.211547, epoch loss=2.346174
Batch=959, step=14160, lr=0.141000, batch loss=0.108544, epoch loss=2.454718
Batch=1019, step=14220, lr=0.141000, batch loss=0.188199, epoch loss=2.642917
Batch=1079, step=14280, lr=0.140750, batch loss=0.084336, epoch loss=2.727254
Batch=1139, step=14340, lr=0.140250, batch loss=0.147229, epoch loss=2.874483
Batch=1199, step=14400, lr=0.140000, batch loss=0.085980, epoch loss=2.960463
Epoch=11, step=14400, lr=0.140000, epoch loss=2.960463
Batch=59, step=14460, lr=0.139750, batch loss=0.111131, epoch loss=0.111131
Batch=119, step=14520, lr=0.139500, batch loss=0.107547, epoch loss=0.218678
Batch=179, step=14580, lr=0.139500, batch loss=0.104195, epoch loss=0.322873
Batch=239, step=14640, lr=0.139000, batch loss=0.136599, epoch loss=0.459472
Batch=299, step=14700, lr=0.139000, batch loss=0.079591, epoch loss=0.539063
Batch=359, step=14760, lr=0.138500, batch loss=0.130162, epoch loss=0.669224
Batch=419, step=14820, lr=0.138500, batch loss=0.157939, epoch loss=0.827163
Batch=479, step=14880, lr=0.138000, batch loss=0.084323, epoch loss=0.911486
Batch=539, step=14940, lr=0.138000, batch loss=0.067649, epoch loss=0.979135
Batch=599, step=15000, lr=0.137500, batch loss=0.099014, epoch loss=1.078149
Batch=659, step=15060, lr=0.137250, batch loss=0.191717, epoch loss=1.269867
Batch=719, step=15120, lr=0.137250, batch loss=0.120238, epoch loss=1.390105
Batch=779, step=15180, lr=0.136750, batch loss=0.131691, epoch loss=1.521796
Batch=839, step=15240, lr=0.136500, batch loss=0.167322, epoch loss=1.689118
Batch=899, step=15300, lr=0.136500, batch loss=0.283012, epoch loss=1.972130
Batch=959, step=15360, lr=0.136000, batch loss=0.063638, epoch loss=2.035768
Batch=1019, step=15420, lr=0.135750, batch loss=0.130231, epoch loss=2.165998
Batch=1079, step=15480, lr=0.135500, batch loss=0.047899, epoch loss=2.213897
Batch=1139, step=15540, lr=0.135500, batch loss=0.104523, epoch loss=2.318420
Batch=1199, step=15600, lr=0.135000, batch loss=0.061524, epoch loss=2.379944
Epoch=12, step=15600, lr=0.135000, epoch loss=2.379944
Batch=59, step=15660, lr=0.135000, batch loss=0.075309, epoch loss=0.075309
Batch=119, step=15720, lr=0.134750, batch loss=0.103282, epoch loss=0.178591
Batch=179, step=15780, lr=0.134500, batch loss=0.087712, epoch loss=0.266303
Batch=239, step=15840, lr=0.134250, batch loss=0.092449, epoch loss=0.358752
Batch=299, step=15900, lr=0.134000, batch loss=0.038649, epoch loss=0.397401
Batch=359, step=15960, lr=0.133750, batch loss=0.076434, epoch loss=0.473835
Batch=419, step=16020, lr=0.133500, batch loss=0.075579, epoch loss=0.549414
Batch=479, step=16080, lr=0.133000, batch loss=0.050927, epoch loss=0.600341
Batch=539, step=16140, lr=0.133000, batch loss=0.080968, epoch loss=0.681309
Batch=599, step=16200, lr=0.132750, batch loss=0.172579, epoch loss=0.853887
Batch=659, step=16260, lr=0.132500, batch loss=0.094205, epoch loss=0.948092
Batch=719, step=16320, lr=0.132250, batch loss=0.116509, epoch loss=1.064601
Batch=779, step=16380, lr=0.132000, batch loss=0.267730, epoch loss=1.332332
Batch=839, step=16440, lr=0.131750, batch loss=0.088676, epoch loss=1.421008
Batch=899, step=16500, lr=0.131500, batch loss=0.073916, epoch loss=1.494924
Batch=959, step=16560, lr=0.131250, batch loss=0.030654, epoch loss=1.525578
Batch=1019, step=16620, lr=0.131000, batch loss=0.072773, epoch loss=1.598351
Batch=1079, step=16680, lr=0.130750, batch loss=0.042683, epoch loss=1.641034
Batch=1139, step=16740, lr=0.130500, batch loss=0.076804, epoch loss=1.717838
Batch=1199, step=16800, lr=0.130250, batch loss=0.036121, epoch loss=1.753960
Epoch=13, step=16800, lr=0.130250, epoch loss=1.753960
Batch=59, step=16860, lr=0.130000, batch loss=0.032540, epoch loss=0.032540
Batch=119, step=16920, lr=0.129750, batch loss=0.035765, epoch loss=0.068305
Batch=179, step=16980, lr=0.129500, batch loss=0.041736, epoch loss=0.110041
Batch=239, step=17040, lr=0.129250, batch loss=0.054410, epoch loss=0.164451
Batch=299, step=17100, lr=0.129000, batch loss=0.018822, epoch loss=0.183274
Batch=359, step=17160, lr=0.128750, batch loss=0.042573, epoch loss=0.225847
Batch=419, step=17220, lr=0.128500, batch loss=0.044277, epoch loss=0.270123
Batch=479, step=17280, lr=0.128250, batch loss=0.021351, epoch loss=0.291474
Batch=539, step=17340, lr=0.128000, batch loss=0.027690, epoch loss=0.319164
Batch=599, step=17400, lr=0.127750, batch loss=0.040335, epoch loss=0.359499
Batch=659, step=17460, lr=0.127500, batch loss=0.052187, epoch loss=0.411687
Batch=719, step=17520, lr=0.127250, batch loss=0.069296, epoch loss=0.480983
Batch=779, step=17580, lr=0.127000, batch loss=0.067833, epoch loss=0.548815
Batch=839, step=17640, lr=0.126750, batch loss=0.114388, epoch loss=0.663203
Batch=899, step=17700, lr=0.126500, batch loss=0.055598, epoch loss=0.718801
Batch=959, step=17760, lr=0.126250, batch loss=0.017717, epoch loss=0.736518
Batch=1019, step=17820, lr=0.126000, batch loss=0.026964, epoch loss=0.763482
Batch=1079, step=17880, lr=0.125750, batch loss=0.023077, epoch loss=0.786559
Batch=1139, step=17940, lr=0.125500, batch loss=0.057386, epoch loss=0.843944
Batch=1199, step=18000, lr=0.125250, batch loss=0.020002, epoch loss=0.863947
Epoch=14, step=18000, lr=0.125250, epoch loss=0.863947
Batch=59, step=18060, lr=0.125000, batch loss=0.011792, epoch loss=0.011792
Batch=119, step=18120, lr=0.124750, batch loss=0.017778, epoch loss=0.029570
Batch=179, step=18180, lr=0.124500, batch loss=0.028148, epoch loss=0.057717
Batch=239, step=18240, lr=0.124250, batch loss=0.034651, epoch loss=0.092368
Batch=299, step=18300, lr=0.124000, batch loss=0.015700, epoch loss=0.108069
Batch=359, step=18360, lr=0.123750, batch loss=0.022104, epoch loss=0.130172
Batch=419, step=18420, lr=0.123500, batch loss=0.025414, epoch loss=0.155586
Batch=479, step=18480, lr=0.123250, batch loss=0.017640, epoch loss=0.173226
Batch=539, step=18540, lr=0.123000, batch loss=0.040106, epoch loss=0.213332
Batch=599, step=18600, lr=0.122750, batch loss=0.026073, epoch loss=0.239405
Batch=659, step=18660, lr=0.122500, batch loss=0.032324, epoch loss=0.271729
Batch=719, step=18720, lr=0.122250, batch loss=0.023172, epoch loss=0.294901
Batch=779, step=18780, lr=0.122000, batch loss=0.042168, epoch loss=0.337069
Batch=839, step=18840, lr=0.121750, batch loss=0.070999, epoch loss=0.408068
Batch=899, step=18900, lr=0.121500, batch loss=0.036106, epoch loss=0.444174
Batch=959, step=18960, lr=0.121250, batch loss=0.012842, epoch loss=0.457017
Batch=1019, step=19020, lr=0.121000, batch loss=0.024998, epoch loss=0.482015
Batch=1079, step=19080, lr=0.120750, batch loss=0.014560, epoch loss=0.496575
Batch=1139, step=19140, lr=0.120500, batch loss=0.028239, epoch loss=0.524814
Batch=1199, step=19200, lr=0.120250, batch loss=0.011817, epoch loss=0.536631
Epoch=15, step=19200, lr=0.120250, epoch loss=0.536631
Batch=59, step=19260, lr=0.120000, batch loss=0.009998, epoch loss=0.009998
Batch=119, step=19320, lr=0.119750, batch loss=0.028932, epoch loss=0.038930
Batch=179, step=19380, lr=0.119500, batch loss=0.079068, epoch loss=0.117998
Batch=239, step=19440, lr=0.119250, batch loss=0.033217, epoch loss=0.151215
Batch=299, step=19500, lr=0.119000, batch loss=0.011926, epoch loss=0.163141
Batch=359, step=19560, lr=0.118750, batch loss=0.023633, epoch loss=0.186774
Batch=419, step=19620, lr=0.118500, batch loss=0.019541, epoch loss=0.206315
Batch=479, step=19680, lr=0.118250, batch loss=0.005664, epoch loss=0.211979
Batch=539, step=19740, lr=0.118000, batch loss=0.027649, epoch loss=0.239629
Batch=599, step=19800, lr=0.117750, batch loss=0.027470, epoch loss=0.267099
Batch=659, step=19860, lr=0.117500, batch loss=0.016054, epoch loss=0.283152
Batch=719, step=19920, lr=0.117250, batch loss=0.035306, epoch loss=0.318458
Batch=779, step=19980, lr=0.117000, batch loss=0.074673, epoch loss=0.393131
Batch=839, step=20040, lr=0.116750, batch loss=0.032445, epoch loss=0.425576
Batch=899, step=20100, lr=0.116500, batch loss=0.028796, epoch loss=0.454372
Batch=959, step=20160, lr=0.116250, batch loss=0.013694, epoch loss=0.468066
Batch=1019, step=20220, lr=0.116000, batch loss=0.025092, epoch loss=0.493158
Batch=1079, step=20280, lr=0.115750, batch loss=0.003927, epoch loss=0.497085
Batch=1139, step=20340, lr=0.115500, batch loss=0.015129, epoch loss=0.512214
Batch=1199, step=20400, lr=0.115250, batch loss=0.006056, epoch loss=0.518270
Epoch=16, step=20400, lr=0.115250, epoch loss=0.518270
Batch=59, step=20460, lr=0.115000, batch loss=0.003697, epoch loss=0.003697
Batch=119, step=20520, lr=0.114750, batch loss=0.008200, epoch loss=0.011897
Batch=179, step=20580, lr=0.114500, batch loss=0.015558, epoch loss=0.027455
Batch=239, step=20640, lr=0.114250, batch loss=0.013194, epoch loss=0.040649
Batch=299, step=20700, lr=0.114000, batch loss=0.003183, epoch loss=0.043833
Batch=359, step=20760, lr=0.113750, batch loss=0.014818, epoch loss=0.058651
Batch=419, step=20820, lr=0.113500, batch loss=0.015078, epoch loss=0.073729
Batch=479, step=20880, lr=0.113250, batch loss=0.006330, epoch loss=0.080059
Batch=539, step=20940, lr=0.113000, batch loss=0.016559, epoch loss=0.096618
Batch=599, step=21000, lr=0.112750, batch loss=0.018168, epoch loss=0.114786
Batch=659, step=21060, lr=0.112500, batch loss=0.015476, epoch loss=0.130262
Batch=719, step=21120, lr=0.112250, batch loss=0.041039, epoch loss=0.171302
Batch=779, step=21180, lr=0.112000, batch loss=0.074190, epoch loss=0.245492
Batch=839, step=21240, lr=0.111750, batch loss=0.025798, epoch loss=0.271290
Batch=899, step=21300, lr=0.111500, batch loss=0.035782, epoch loss=0.307072
Batch=959, step=21360, lr=0.111250, batch loss=0.010062, epoch loss=0.317133
Batch=1019, step=21420, lr=0.111000, batch loss=0.010897, epoch loss=0.328030
Batch=1079, step=21480, lr=0.110750, batch loss=0.001137, epoch loss=0.329167
Batch=1139, step=21540, lr=0.110500, batch loss=0.012911, epoch loss=0.342078
Batch=1199, step=21600, lr=0.110250, batch loss=0.005134, epoch loss=0.347212
Epoch=17, step=21600, lr=0.110250, epoch loss=0.347212
Batch=59, step=21660, lr=0.110000, batch loss=0.002272, epoch loss=0.002272
Batch=119, step=21720, lr=0.109750, batch loss=0.006603, epoch loss=0.008875
Batch=179, step=21780, lr=0.109500, batch loss=0.013315, epoch loss=0.022190
Batch=239, step=21840, lr=0.109250, batch loss=0.016093, epoch loss=0.038283
Batch=299, step=21900, lr=0.109000, batch loss=0.003384, epoch loss=0.041667
Batch=359, step=21960, lr=0.108750, batch loss=0.010510, epoch loss=0.052177
Batch=419, step=22020, lr=0.108500, batch loss=0.011115, epoch loss=0.063291
Batch=479, step=22080, lr=0.108250, batch loss=0.002814, epoch loss=0.066106
Batch=539, step=22140, lr=0.108000, batch loss=0.019808, epoch loss=0.085914
Batch=599, step=22200, lr=0.107750, batch loss=0.016086, epoch loss=0.102000
Batch=659, step=22260, lr=0.107500, batch loss=0.015903, epoch loss=0.117903
Batch=719, step=22320, lr=0.107250, batch loss=0.025914, epoch loss=0.143817
Batch=779, step=22380, lr=0.107000, batch loss=0.036625, epoch loss=0.180443
Batch=839, step=22440, lr=0.106750, batch loss=0.025570, epoch loss=0.206012
Batch=899, step=22500, lr=0.106500, batch loss=0.027649, epoch loss=0.233661
Batch=959, step=22560, lr=0.106250, batch loss=0.008945, epoch loss=0.242606
Batch=1019, step=22620, lr=0.106000, batch loss=0.010008, epoch loss=0.252614
Batch=1079, step=22680, lr=0.105750, batch loss=0.000926, epoch loss=0.253540
Batch=1139, step=22740, lr=0.105500, batch loss=0.010211, epoch loss=0.263751
Batch=1199, step=22800, lr=0.105250, batch loss=0.004533, epoch loss=0.268284
Epoch=18, step=22800, lr=0.105250, epoch loss=0.268284
Batch=59, step=22860, lr=0.105000, batch loss=0.001573, epoch loss=0.001573
Batch=119, step=22920, lr=0.104750, batch loss=0.005594, epoch loss=0.007167
Batch=179, step=22980, lr=0.104500, batch loss=0.011278, epoch loss=0.018445
Batch=239, step=23040, lr=0.104250, batch loss=0.009339, epoch loss=0.027784
Batch=299, step=23100, lr=0.104000, batch loss=0.008642, epoch loss=0.036426
Batch=359, step=23160, lr=0.103750, batch loss=0.011378, epoch loss=0.047804
Batch=419, step=23220, lr=0.103500, batch loss=0.010264, epoch loss=0.058068
Batch=479, step=23280, lr=0.103250, batch loss=0.002433, epoch loss=0.060501
Batch=539, step=23340, lr=0.103000, batch loss=0.017669, epoch loss=0.078170
Batch=599, step=23400, lr=0.102750, batch loss=0.013543, epoch loss=0.091712
Batch=659, step=23460, lr=0.102500, batch loss=0.011734, epoch loss=0.103446
Batch=719, step=23520, lr=0.102250, batch loss=0.009863, epoch loss=0.113309
Batch=779, step=23580, lr=0.102000, batch loss=0.011340, epoch loss=0.124649
Batch=839, step=23640, lr=0.101750, batch loss=0.018943, epoch loss=0.143592
Batch=899, step=23700, lr=0.101500, batch loss=0.022736, epoch loss=0.166328
Batch=959, step=23760, lr=0.101250, batch loss=0.007976, epoch loss=0.174304
Batch=1019, step=23820, lr=0.101000, batch loss=0.008031, epoch loss=0.182335
Batch=1079, step=23880, lr=0.100750, batch loss=0.000471, epoch loss=0.182806
Batch=1139, step=23940, lr=0.100500, batch loss=0.009174, epoch loss=0.191980
Batch=1199, step=24000, lr=0.100250, batch loss=0.003881, epoch loss=0.195861
Epoch=19, step=24000, lr=0.100250, epoch loss=0.195861


Half-moons scatterplot and decision boundary:
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└────────────────────────────────────────────────────────────────────────────────────────────────────┘
2025-05-10 12:29.46 ---> saved as "35b677869a5d777fd63fab36983fb26d288648b62b6e80af0cb90a792aeeb73a"
Job succeeded
2025-05-10 12:29.46: Job succeeded